Resultados totales (Incluyendo duplicados): 33166
Encontrada(s) 3317 página(s)
Encontrada(s) 3317 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339069
Dataset. 2023
ELECTRONIC SUPPLEMENTARY MATERIAL DETERMINATION AND LOCALIZATION OF SPECIFIC PROTEINS IN INDIVIDUAL ARPE-19 CELLS BY SINGLE CELL AND LASER ABLATION ICP-MS USING IRIDIUM NANOCLUSTERS AS LABEL
- Menero-Valdés, Paula
- Lores-Padín, Ana
- Fernández-Vega, Beatriz
- Quarles Jr., C. Derrick
- García, Montserrat
- González-Iglesias, Héctor
- Pereiro, Rosario
This Electronic Supporting Material contains details about the Experimental section as well as some additional comments about Results and Discussion section.
The Experimental section describes the reagents employed for the synthesis and characterization of the IrNCs and IrNCs-immunoprobes, the culture and incubation of ARPE-19 cells, the immunocytochemistry (ICC) assays for the detection of target proteins by MS and fluorescence, the cellular preparation for sc-ICP-MS and LA-ICP-MS, as well as the ELISA analyses. Furthermore, protocols for the synthesis and characterization of IrNCs and IrNCs-immunoprobes are also included.
In the Results and Discussion section, results regarding the optimization of the glucose-induced oxidative stress treatment, the determination of proteins in individual ARPE-19 cells by sc-ICP-MS, as well as the bioimaging of APOE and claudin-1 in individual ARPE-19 cells by LA-ICP-MS are also collected., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/339069
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339069
HANDLE: http://hdl.handle.net/10261/339069
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339069
PMID: http://hdl.handle.net/10261/339069
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339069
Ver en: http://hdl.handle.net/10261/339069
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339069
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339082
Dataset. 2023
SUPPORTING INFORMATION DETERMINATION OF ENDOGENOUS TRACE ELEMENTS IN EXTRACELLULAR VESICLES SECRETED BY AN IN VITRO MODEL OF HUMAN RETINAL PIGMENT EPITHELIUM UNDER OXIDATIVE STRESS CONDITIONS USING ICP-MS
- Martínez-García, Jaime
- Fernández-Vega, Beatriz
- Álvarez-Barrios, Ana
- Álvarez, Lydia
- González-Iglesias, Héctor
- Pereiro, Rosario
ESM contains details about the Results and Discussion section. Transmission electron microscopy (TEM) images of extracellular vesicles (EVs) isolated are shown. Furthermore, a graph with the Fe, Cu and Zn concentrations determined by ICP-MS in exosomes from control and treated HRPEsv cells culture medium are also depicted, Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/339082
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339082
HANDLE: http://hdl.handle.net/10261/339082
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339082
PMID: http://hdl.handle.net/10261/339082
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339082
Ver en: http://hdl.handle.net/10261/339082
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339082
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339104
Dataset. 2023
SUPPLEMENTARY MATERIAL ENTEROCOCCUS FAECIUM BACTERIOPHAGE VB_EFAH_163, A NEW MEMBER OF THE HERELLEVIRIDAE FAMILY, REDUCES THE MORTALITY ASSOCIATED WITH AN E. FAECIUM VANR CLINICAL ISOLATE IN A GALLERIA MELLONELLA ANIMAL MODEL
- Pradal, Inés
- Casado, Ángel
- Río Lagar, Beatriz del
- Rodríguez-Lucas, Carlos
- Fernández García, María
- Álvarez González, Miguel Ángel
- Ladero Losada, Víctor Manuel
Features of Enterococcus faecium bacteriophage vB_EfaH_163. The orfs, gene number and gene position in the vB_EfaH_163 genome are shown, as are the predicted functions, molecular weights and isoelectric points of the encoded products. The predicted functions were assessed using RAST and PATRIC software. The top BLAST hit and E-values are also indicated., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/339104
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339104
HANDLE: http://hdl.handle.net/10261/339104
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339104
PMID: http://hdl.handle.net/10261/339104
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339104
Ver en: http://hdl.handle.net/10261/339104
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339104
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339111
Dataset. 2023
LONG-TERM MONITORING OF THE RELATIVE DENSITY IN THE COMMON GENET (GENETTA GENETTA) WITH TRACKS COUNTS IN DOÑANA NATIONAL PARK 2007-2022
- Carro, Francisco
- Román, Isidro
- Laffite, Rafael
- Paz Sánchez, David Antonio
- Ceballos, Olga
- Chico, Alfredo
- Díaz-Delgado, Ricardo
- Torrijo-Salesa, Mizar
- Márquez-Ferrando, Rocío
- Bustamante, Javier
Dataset are structured following well-established data formats. Two files are provided and they are related to each other with the variable eventID. The first file (icts-rbd-GenettaTracks_ev_20230915) contains the information of each event (time of occurrence, geographical coordinates or sampling effort); the second file (icts-rbd-GenettaTracks_occ_20230915) contains the count of tracks for each species recorded in each site, numbers of tracks recorded and taxonomic classification., [Description of methods used for collection/generation of data] The long-term monitoring of carnivore tracks in Doñana is part of a harmonised protocol for the Long-term Ecological Monitoring Program of Natural Resources and Processes targeting mammals' populations.
The general aim of this protocol is to study the temporal evolution of the relative density of the main species of carnivores in the main habitats of the Doñana National Park.
Tracks surveys were done annually after the first rains of the hydrological year, i.e. the first autumn rains, usually in October.
Due to climate change, in recent years the rainy season has been delayed until the beginning of the year. This protocol has stablished in 2007 and it has done annually until the present (2022), except in 2021 when due to logistical problems no census was made. Censuses are carried out through 12 prefixed transect, with sand substrate, in Doñana National Park.
Each transect consists of a 2 km of length and 1.5 m of width that is done by a car at a constant speed between 10 and 15 km/h.
Transects are cleaned the day before of the census with a metal beam to facilitate the read of the tracks and to ensure that the foot prints were from the previous day.
Each transect is repeated in three consecutive days, and during the transect the sand is cleaned for the next day.
In the census an expert in mammals’ tracks identifies all the tracks, i.e. groups of carnivore foot prints, and he/she records them in Cybertracker.
That way, tracks' information like coordinates, hour, species identification and observation was recorded; and also the information of each transect was recorded: sampler, drivers, date, start and end (hour and coordinates).
This method enables to calculate Kilometric Abundance Indexes (KAI) for each species and transect.
In order to clarify all carnivore datasets, the data was separated by species, this allows concrete analysis by species.
In this dataset common genet ´s (Genetta genetta) data is presented., [Methods for processing the data] The data was recorded in CyberTracker sequence. The protocol used has been supervised by researchers and the data have been validated by the members who performed the sampling. The raw data was processed with Excel., The long-term monitoring of carnivore tracks in Doñana is part of a harmonised protocol for the Long-term Ecological Monitoring Program of Natural Resources and Processes targeting mammals' populations. The general aim of this protocol is to study the temporal evolution of the relative density of the main species of carnivores in the main habitats of the Doñana National Park. Tracks surveys were done annually after the first rains of the hydrological year, i.e. the first autumn rains, usually in October. Due to climate change, in recent years the rainy season has been delayed until the beginning of the year. This protocol has stablished in 2007 and it has done annually until the present (2022), except in 2021 when due to logistical problems no census was made. Censuses are carried out through 12 prefixed transect, with sand substrate, in Doñana National Park. Each transect consists of a 2 km of length and 1.5 m of width that is done by a car at a constant speed between 10 and 15 km/h. Transects are cleaned the day before of the census with a metal beam to facilitate the read of the tracks and to ensure that the foot prints were from the previous day. Each transect is repeated in three consecutive days, and during the transect the sand is cleaned for the next day. In the census an expert in mammals’ tracks identifies all the tracks, i.e. groups of carnivore foot prints, and he/she records them in Cybertracker. That way, tracks' information like coordinates, hour, species identification and observation was recorded; and also the information of each transect was recorded: sampler, drivers, date, start and end (hour and coordinates). This method enables to calculate Kilometric Abundance Indexes (KAI) for each species and transect. In order to clarify all carnivore datasets, the data was separated by species, this allows concrete analysis by species. In this dataset common genet´s (Genetta genetta) data is presented., We acknowledge financial support from National Parks Autonomous Agency (OAPN) in 2007; the Singular Scientific and Technical Infrastructures from the Spanish Science and Innovation Ministry (ICTS-MICINN); the Ministry of Agriculture, Livestock, Fisheries and Sustainable Development from the Regional Government of Andalusia (CAGPDES-JA) since 2011; the Doñana Biological Station from the Spanish National Research Council (EBD-CSIC) since all the study period (2011); the Ministry of Environmetal sustainability and blue economy from the Regional Goverment of Andalusia since 2017 with the LIFE-ADAPTAMED project;
Ministry of Science and Innovation (Recovery, Transformation and Resilence Plan); and the European Comision with the Long-term Ecosystem Research in Europe (eLTER) (a HORIZON funding coordination of the European funding programme for research and innovation) and NextGenerationEU funding., 1. icts-rbd-GenettaTracks_ev_20230915: eventID, institutionCode, institutionID, datasetName, eventDate, year, month, day, verbatimEventDate, eventTime, country, continent, countryCode, stateProvince, county, municipality, locality, verbatimLocality, verbatimCoordinates, geodeticDatum, samplingProtocol, SampleSizeValue, sampleSizeUnit, samplingEffort and eventRemarks. 2. icts-rbd-GenettaTracks_occ_20230915: eventID, occurrenceID, collectionCode, decimalLatitude, decimalLongitude, dynamicProperties, basisOfRecord, recordedBy, occurrenceStatus, individualCount, identifiedBy, scientificName, kingdom, phylum, class, order, family, genus, specificEpithet, scientificNameAuthorship, taxonRank, organismQuantity, organismQuantityType and occurrenceRemarks., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/339111, https://doi.org/10.20350/digitalCSIC/15678
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339111
HANDLE: http://hdl.handle.net/10261/339111, https://doi.org/10.20350/digitalCSIC/15678
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339111
PMID: http://hdl.handle.net/10261/339111, https://doi.org/10.20350/digitalCSIC/15678
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339111
Ver en: http://hdl.handle.net/10261/339111, https://doi.org/10.20350/digitalCSIC/15678
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339111
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339113
Dataset. 2023
LONG-TERM MONITORING OF THE RELATIVE DENSITY IN THE EUROPEAN BADGER (MELES MELES) WITH TRACKS COUNTS IN DOÑANA NATIONAL PARK 2007-2022
- Carro, Francisco
- Román, Isidro
- Laffite, Rafael
- Paz Sánchez, David Antonio
- Ceballos, Olga
- Chico, Alfredo
- Díaz-Delgado, Ricardo
- Torrijo-Salesa, Mizar
- Márquez-Ferrando, Rocío
- Bustamante, Javier
Dataset are structured following well-established data formats. Two files are provided and they are related to each other with the variable eventID. The first file (icts-rbd-MelesTracks_ev_20230915) contains the information of each event (time of occurrence, geographical coordinates or sampling effort); the second file (icts-rbd-MelesTracks_occ_20230915) contains the count of tracks for each species recorded in each site, numbers of tracks recorded and taxonomic classification., [Description of methods used for collection/generation of data] The long-term monitoring of carnivore tracks in Doñana is part of a harmonised protocol for the Long-term Ecological Monitoring Program of Natural Resources and Processes targeting mammals' populations.
The general aim of this protocol is to study the temporal evolution of the relative density of the main species of carnivores in the main habitats of the Doñana National Park.
Tracks surveys were done annually after the first rains of the hydrological year, i.e. the first autumn rains, usually in October.
Due to climate change, in recent years the rainy season has been delayed until the beginning of the year. This protocol has stablished in 2007 and it has done annually until the present (2022), except in 2021 when due to logistical problems no census was made. Censuses are carried out through 12 prefixed transect, with sand substrate, in Doñana National Park.
Each transect consists of a 2 km of length and 1.5 m of width that is done by a car at a constant speed between 10 and 15 km/h.
Transects are cleaned the day before of the census with a metal beam to facilitate the read of the tracks and to ensure that the foot prints were from the previous day.
Each transect is repeated in three consecutive days, and during the transect the sand is cleaned for the next day.
In the census an expert in mammals’ tracks identifies all the tracks, i.e. groups of carnivore foot prints, and he/she records them in Cybertracker.
That way, tracks' information like coordinates, hour, species identification and observation was recorded; and also the information of each transect was recorded: sampler, drivers, date, start and end (hour and coordinates).
This method enables to calculate Kilometric Abundance Indexes (KAI) for each species and transect.
In order to clarify all carnivore datasets, the data was separated by species, this allows concrete analysis by species.
In this dataset European badger ´s (Meles meles)data is presented., Methods for processing the data:
The data was recorded in CyberTracker sequence. The protocol used has been supervised by researchers and the data have been
validated by the members who performed the sampling. The raw data was processed with Excel., The long-term monitoring of carnivore tracks in Doñana is part of a harmonised protocol for the Long-term Ecological Monitoring Program of Natural Resources and Processes targeting mammals' populations. The general aim of this protocol is to study the temporal evolution of the relative density of the main species of carnivores in the main habitats of the Doñana National Park. Tracks surveys were done annually after the first rains of the hydrological year, i.e. the first autumn rains, usually in October. Due to climate change, in recent years the rainy season has been delayed until the beginning of the year. This protocol has stablished in 2007 and it has done annually until the present (2022), except in 2021 when due to logistical problems no census was made. Censuses are carried out through 12 prefixed transect, with sand substrate, in Doñana National Park. Each transect consists of a 2 km of length and 1.5 m of width that is done by a car at a constant speed between 10 and 15 km/h. Transects are cleaned the day before of the census with a metal beam to facilitate the read of the tracks and to ensure that the foot prints were from the previous day. Each transect is repeated in three consecutive days, and during the transect the sand is cleaned for the next day. In the census an expert in mammals’ tracks identifies all the tracks, i.e. groups of carnivore foot prints, and he/she records them in Cybertracker. That way, tracks' information like coordinates, hour, species identification and observation was recorded; and also the information of each transect was recorded: sampler, drivers, date, start and end (hour and coordinates). This method enables to calculate Kilometric Abundance Indexes (KAI) for each species and transect. In order to clarify all carnivore datasets, the data was separated by species, this allows concrete analysis by species. In this dataset European badger´s (Meles meles) data is presented., We acknowledge financial support from National Parks Autonomous Agency (OAPN) in 2007; the Singular Scientific and Technical Infrastructures from the Spanish Science and Innovation Ministry (ICTS-MICINN); the Ministry of Agriculture, Livestock, Fisheries and Sustainable Development from the Regional Government of Andalusia (CAGPDES-JA) since 2011; the Doñana Biological Station from the Spanish National Research Council (EBD-CSIC) since all the study period (2011); the Ministry of Environmetal sustainability and blue economy from the Regional Goverment of Andalusia since 2017 with the LIFE-ADAPTAMED project;
Ministry of Science and Innovation (Recovery, Transformation and Resilence Plan); and the European Comision.
with the Long-term Ecosystem Research in Europe (eLTER) (a HORIZON funding coordination of the European funding
programme for research and innovation) and NextGenerationEU funding., 1. icts-rbd-MelesTracks_ev_20230915: eventID, institutionCode, institutionID, datasetName, eventDate, year, month, day, verbatimEventDate, eventTime, country, continent, countryCode, stateProvince, county, municipality, locality, verbatimLocality, verbatimCoordinates, geodeticDatum, samplingProtocol, SampleSizeValue, sampleSizeUnit, samplingEffort and eventRemarks. 2. icts-rbd-MelesTracks_occ_20230915: eventID, occurrenceID, collectionCode, decimalLatitude, decimalLongitude, dynamicProperties, basisOfRecord, recordedBy, occurrenceStatus, individualCount, identifiedBy, scientificName, verbatimScientificName, kingdom, phylum, class, order, family, genus, specificEpithet, scientificNameAuthorship, taxonRank, organismQuantity, organismQuantityType and occurrenceRemarks., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/339113, https://doi.org/10.20350/digitalCSIC/15679
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339113
HANDLE: http://hdl.handle.net/10261/339113, https://doi.org/10.20350/digitalCSIC/15679
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339113
PMID: http://hdl.handle.net/10261/339113, https://doi.org/10.20350/digitalCSIC/15679
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339113
Ver en: http://hdl.handle.net/10261/339113, https://doi.org/10.20350/digitalCSIC/15679
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339113
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339114
Dataset. 2023
LONG-TERM MONITORING OF THE RELATIVE DENSITY IN THE EGYPTIAN MONGOOSE (HERPESTES ICHNEUMON) WITH TRACKS COUNTS IN DOÑANA NATIONAL PARK 2007-2022
- Carro, Francisco
- Román, Isidro
- Laffite, Rafael
- Paz Sánchez, David Antonio
- Ceballos, Olga
- Chico, Alfredo
- Díaz-Delgado, Ricardo
- Torrijo-Salesa, Mizar
- Márquez-Ferrando, Rocío
- Bustamante, Javier
Dataset are structured following well-established data formats. Two files are provided and they are related to each other with the variable eventID. The first file (icts-rbd-HerpestesTracks_ev_20230915) contains the information of each event (time of occurrence, geographical coordinates or sampling effort); the second file (icts-rbd-HerpestesTracks_occ_20230915) contains the count of tracks for each species recorded in each site, numbers of tracks recorded and taxonomic classification., [Description of methods used for collection/generation of data] The long-term monitoring of carnivore tracks in Doñana is part of a harmonised protocol for the Long-term Ecological Monitoring Program of Natural Resources and Processes targeting mammals' populations.
The general aim of this protocol is to study the temporal evolution of the relative density of the main species of carnivores in the main habitats of the Doñana National Park.
Tracks surveys were done annually after the first rains of the hydrological year, i.e. the first autumn rains, usually in October.
Due to climate change, in recent years the rainy season has been delayed until the beginning of the year. This protocol has stablished in 2007 and it has done annually until the present (2022), except in 2021 when due to logistical problems no census was made. Censuses are carried out through 12 prefixed transect, with sand substrate, in Doñana National Park.
Each transect consists of a 2 km of length and 1.5 m of width that is done by a car at a constant speed between 10 and 15 km/h.
Transects are cleaned the day before of the census with a metal beam to facilitate the read of the tracks and to ensure that the foot prints were from the previous day.
Each transect is repeated in three consecutive days, and during the transect the sand is cleaned for the next day.
In the census an expert in mammals’ tracks identifies all the tracks, i.e. groups of carnivore foot prints, and he/she records them in Cybertracker.
That way, tracks' information like coordinates, hour, species identification and observation was recorded;
and also the information of each transect was recorded: sampler, drivers, date, start and end (hour and coordinates).
This method enables to calculate Kilometric Abundance Indexes (KAI) for each species and transect.
In order to clarify all carnivore datasets, the data was separated by species, this allows concrete analysis by species.
In this dataset Egyptian mongoose's (Herpestes ichneumon) data is presented., [Methods for processing the data] The data was recorded in CyberTracker sequence. The protocol used has been supervised by researchers and the data have been validated by the members who performed the sampling. The raw data was processed with Excel., The long-term monitoring of carnivore tracks in Doñana is part of a harmonised protocol for the Long-term Ecological Monitoring Program of Natural Resources and Processes targeting mammals' populations. The general aim of this protocol is to study the temporal evolution of the relative density of the main species of carnivores in the main habitats of the Doñana National Park. Tracks surveys were done annually after the first rains of the hydrological year, i.e. the first autumn rains, usually in October. Due to climate change, in recent years the rainy season has been delayed until the beginning of the year. This protocol has stablished in 2007 and it has done annually until the present (2022), except in 2021 when due to logistical problems no census was made. Censuses are carried out through 12 prefixed transect, with sand substrate, in Doñana National Park. Each transect consists of a 2 km of length and 1.5 m of width that is done by a car at a constant speed between 10 and 15 km/h. Transects are cleaned the day before of the census with a metal beam to facilitate the read of the tracks and to ensure that the foot prints were from the previous day. Each transect is repeated in three consecutive days, and during the transect the sand is cleaned for the next day. In the census an expert in mammals’ tracks identifies all the tracks, i.e. groups of carnivore foot prints, and he/she records them in Cybertracker. That way, tracks' information like coordinates, hour, species identification and observation was recorded; and also the information of each transect was recorded: sampler, drivers, date, start and end (hour and coordinates). This method enables to calculate Kilometric Abundance Indexes (KAI) for each species and transect. In order to clarify all carnivore datasets, the data was separated by species, this allows concrete analysis by species. In this dataset Egyptian mongoose ´s (Herpestes ichneumon) data is presented., We acknowledge financial support from National Parks Autonomous Agency (OAPN) in 2007; the Singular Scientific and Technical Infrastructures from the Spanish Science and Innovation Ministry (ICTS-MICINN); the Ministry of Agriculture, Livestock, Fisheries and Sustainable Development from the Regional Government of Andalusia (CAGPDES-JA) since 2011; the Doñana Biological Station from the Spanish National Research Council (EBD-CSIC) since all the study period (2011); the Ministry of Environmetal sustainability and blue economy from the Regional Goverment of Andalusia since 2017 with the LIFE-ADAPTAMED project;
Ministry of Science and Innovation (Recovery, Transformation and Resilence Plan); and the European Comision with the Long-term Ecosystem Research in Europe (eLTER) (a HORIZON funding coordination of the European funding programme for research and innovation) and NextGenerationEU funding., 1. icts-rbd-HerpestesTracks_ev_20230915: eventID, institutionCode, institutionID, datasetName, eventDate, year, month, day, verbatimEventDate, eventTime, country, continent, countryCode, stateProvince, county, municipality, locality, verbatimLocality, verbatimCoordinates, geodeticDatum, samplingProtocol, SampleSizeValue, sampleSizeUnit, samplingEffort and eventRemarks. 2. icts-rbd-HerpestesTracks_occ_20230915: eventID, occurrenceID, collectionCode, decimalLatitude, decimalLongitude, dynamicProperties, basisOfRecord, recordedBy, occurrenceStatus, individualCount, identifiedBy, scientificName, verbatimScientificName, kingdom, phylum, class, order, family, genus, specificEpithet, scientificNameAuthorship, taxonRank, organismQuantity, organismQuantityType and occurrenceRemarks., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/339114, https://doi.org/10.20350/digitalCSIC/15680
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339114
HANDLE: http://hdl.handle.net/10261/339114, https://doi.org/10.20350/digitalCSIC/15680
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339114
PMID: http://hdl.handle.net/10261/339114, https://doi.org/10.20350/digitalCSIC/15680
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339114
Ver en: http://hdl.handle.net/10261/339114, https://doi.org/10.20350/digitalCSIC/15680
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339114
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339157
Dataset. 2023
SUPPORTING INFORMATION CONFORMATIONALLY RESTRICTED Β-SHEET BREAKER PEPTIDES INCORPORATING CYCLIC Α-METHYLISOSERINE SULFAMIDATES
- Mazo, Nuria
- Navo, Claudio D.
- Peccati, Francesca
- Andreo, Jacopo
- Airoldi, Cristina
- Goldsztejn, Gildas
- Çarçabal, Pierre
- Usabiaga, Imanol
- Sodupe, Mariona
- Wuttke, Stefan
- Busto, Jesús H.
- Peregrina, Jesús M.
- Cocinero, Emilio J.
- Jiménez-Osés, Gonzalo
80 pages. -- Contents: 1. Reagents and general procedures. -- 2. NMR experiments. -- 3. 2D NOESY NMR experiments. -- 4. STD NMR experiments. -- 5. Optimization of sulfamidate coupling. -- 6. Optimization of amino acid coupling at the sulfamidate N-terminus. -- 7. General protocol for microwave-assisted solid-phase peptide synthesis. -- 8. Synthesis of compounds 1-13. -- 09. Infrared Ion-Dip (IRID). -- 10. Energies and geometries of QM-optimized structures in the gas phase. -- 11. X-ray crystallography. -- 12. QM analysis of non-covalent interactions in the solid state. -- 13. Molecular dynamics simulations with time-averaged restrains (MD-tar). -- 14. Variable-temperature 1H NMR experiments. -- 15. Thioflavin T (ThT) fluorescence assays. -- 16. Circular dichroism (CD). -- 17. STD study. -- 18. Molecular dynamics (MD) model of the inhibition mechanism. -- 19. Copies of the NMR spectra for all the new compounds. -- 20. Analytical HPLC for peptides 2, 3, and 6-11. -- 21. -- References., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/339157
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339157
HANDLE: http://hdl.handle.net/10261/339157
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339157
PMID: http://hdl.handle.net/10261/339157
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339157
Ver en: http://hdl.handle.net/10261/339157
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339157
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339164
Dataset. 2023
SUPPORTING MATERIAL TO THREE-DIMENSIONAL REMODELING OF SARS-COV2- INFECTED CELLS REVEALED BY CRYOGENIC SOFT X-RAY TOMOGRAPHY
- Castro, Victoria
- Pérez-Berna, Ana Joaquina
- Calvo, Gema
- Pereiro, Eva
- Gastaminza, Pablo
Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/339164
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339164
HANDLE: http://hdl.handle.net/10261/339164
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339164
PMID: http://hdl.handle.net/10261/339164
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339164
Ver en: http://hdl.handle.net/10261/339164
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339164
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339183
Dataset. 2023
LONG-TERM MONITORING OF THE RELATIVE DENSITY IN THE IBERIAN LYNX (LYNX PARDINUS) WITH TRACKS COUNTS IN DOÑANA NATIONAL PARK 2007-2022
- Carro, Francisco
- Román, Isidro
- Laffite, Rafael
- Paz Sánchez, David Antonio
- Ceballos, Olga
- Chico, Alfredo
- Díaz-Delgado, Ricardo
- Torrijo-Salesa, Mizar
- Márquez-Ferrando, Rocío
- Bustamante, Javier
Dataset are structured following well-established data formats. Two files are provided and they are related to each other with the variable eventID. The first file (icts-rbd-LynxTracks_ev_20230915) contains the information of each event (time of occurrence, geographical coordinates or sampling effort); the second file (icts-rbd-LynxTracks_occ_20230915) contains the count of tracks for each species recorded in each site, numbers of tracks recorded and taxonomic classification., [Description of methods used for collection/generation of data] The long-term monitoring of carnivore tracks in Doñana is part of a harmonised protocol for the Long-term Ecological Monitoring Program of Natural Resources and Processes targeting mammals' populations.
The general aim of this protocol is to study the temporal evolution of the relative density of the main species of carnivores in the main habitats of the Doñana National Park.
Tracks surveys were done annually after the first rains of the hydrological year, i.e. the first autumn rains, usually in October.
Due to climate change, in recent years the rainy season has been delayed until the beginning of the year. This protocol has stablished in 2007 and it has done annually until the present (2022), except in 2021 when due to logistical problems no census was made. Censuses are carried out through 12 prefixed transect, with sand substrate, in Doñana National Park.
Each transect consists of a 2 km of length and 1.5 m of width that is done by a car at a constant speed between 10 and 15 km/h.
Transects are cleaned the day before of the census with a metal beam to facilitate the read of the tracks and to ensure that the foot prints were from the previous day.
Each transect is repeated in three consecutive days, and during the transect the sand is cleaned for the next day.
In the census an expert in mammals’ tracks identifies all the tracks, i.e. groups of carnivore foot prints, and he/she records them in Cybertracker.
That way, tracks' information like coordinates, hour, species identification and observation was recorded; and also the information of each transect was recorded: sampler, drivers, date, start and end (hour and coordinates).
This method enables to calculate Kilometric Abundance Indexes (KAI) for each species and transect.
In order to clarify all carnivore datasets, the data was separated by species, this allows concrete analysis by species.
In this dataset red fox´s (Vulpes vulpes) data is presented., Methods for processing the data:
The data was recorded in CyberTracker sequence. The protocol used has been supervised by researchers and the data have been
validated by the members who performed the sampling. The raw data was processed with Excel., The long-term monitoring of carnivore tracks in Doñana is part of a harmonised protocol for the Long-term Ecological Monitoring Program of Natural Resources and Processes targeting mammals' populations. The general aim of this protocol is to study the temporal evolution of the relative density of the main species of carnivores in the main habitats of the Doñana National Park. Tracks surveys were done annually after the first rains of the hydrological year, i.e. the first autumn rains, usually in October. Due to climate change, in recent years the rainy season has been delayed until the beginning of the year. This protocol has stablished in 2007 and it has done annually until the present (2022), except in 2021 when due to logistical problems no census was made. Censuses are carried out through 12 prefixed transect, with sand substrate, in Doñana National Park. Each transect consists of a 2 km of length and 1.5 m of width that is done by a car at a constant speed between 10 and 15 km/h. Transects are cleaned the day before of the census with a metal beam to facilitate the read of the tracks and to ensure that the foot prints were from the previous day. Each transect is repeated in three consecutive days, and during the transect the sand is cleaned for the next day. In the census an expert in mammals’ tracks identifies all the tracks, i.e. groups of carnivore foot prints, and he/she records them in Cybertracker. That way, tracks' information like coordinates, hour, species identification and observation was recorded; and also the information of each transect was recorded: sampler, drivers, date, start and end (hour and coordinates). This method enables to calculate Kilometric Abundance Indexes (KAI) for each species and transect. In order to clarify all carnivore datasets, the data was separated by species, this allows concrete analysis by species. In this dataset Iberian lynx´s (Lynx pardinus) data is presented., We acknowledge financial support from National Parks Autonomous Agency (OAPN) in 2007; the Singular Scientific and Technical Infrastructures from the Spanish Science and Innovation Ministry (ICTS-MICINN); the Ministry of Agriculture, Livestock, Fisheries and Sustainable Development from the Regional Government of Andalusia (CAGPDES-JA) since 2011; the Doñana Biological Station from the Spanish National Research Council (EBD-CSIC) since all the study period (2011); the Ministry of Environmetal sustainability and blue economy from the Regional Goverment of Andalusia since 2017 with the LIFE-ADAPTAMED project;
Ministry of Science and Innovation (Recovery, Transformation and Resilence Plan); and the European Comision with the Long-term Ecosystem Research in Europe (eLTER) (a HORIZON funding coordination of the European funding programme for research and innovation) and NextGenerationEU funding., 1. icts-rbd-LynxTracks_ev_20230915: eventID, institutionCode, institutionID, datasetName, eventDate, year, month, day, verbatimEventDate, eventTime, country, continent, countryCode, stateProvince, county, municipality, locality, verbatimLocality, verbatimCoordinates, geodeticDatum, samplingProtocol, SampleSizeValue, sampleSizeUnit, samplingEffort and eventRemarks. 2. icts-rbd-LynxTracks_occ_20230915: eventID, occurrenceID, collectionCode, decimalLatitude, decimalLongitude dynamicProperties, basisOfRecord, recordedBy, occurrenceStatus, individualCount, identifiedBy, scientificName, verbatimScientificName, kingdom, phylum, class, order, family, genus, specificEpithet, scientificNameAuthorship, taxonRank, organismQuantity, organismQuantityType and occurrenceRemarks., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/339183, https://doi.org/10.20350/digitalCSIC/15682
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339183
HANDLE: http://hdl.handle.net/10261/339183, https://doi.org/10.20350/digitalCSIC/15682
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339183
PMID: http://hdl.handle.net/10261/339183, https://doi.org/10.20350/digitalCSIC/15682
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339183
Ver en: http://hdl.handle.net/10261/339183, https://doi.org/10.20350/digitalCSIC/15682
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339183
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339187
Dataset. 2023
LONG-TERM MONITORING OF THE RELATIVE DENSITY IN THE EURASIAN OTTER (LUTRA LUTRA) WITH TRACKS COUNTS IN DOÑANA NATIONAL PARK 2007-2022
- Carro, Francisco
- Román, Isidro
- Laffite, Rafael
- Paz Sánchez, David Antonio
- Ceballos, Olga
- Chico, Alfredo
- Díaz-Delgado, Ricardo
- Torrijo-Salesa, Mizar
- Márquez-Ferrando, Rocío
- Bustamante, Javier
Dataset are structured following well-established data formats. Two files are provided and they are related to each other with the variable eventID. The first file (icts-rbd-LutraTracks_ev_20230915) contains the information of each event (time of occurrence, geographical coordinates or sampling effort); the second file (icts-rbd-LutraTracks_occ_20230915) contains the count of tracks for each species recorded in each site, numbers of tracks recorded and taxonomic classification., [Description of methods used for collection/generation of data] The long-term monitoring of carnivore tracks in Doñana is part of a harmonised protocol for the Long-term Ecological Monitoring Program of Natural Resources and Processes targeting mammals' populations.
The general aim of this protocol is to study the temporal evolution of the relative density of the main species of carnivores in the main habitats of the Doñana National Park.
Tracks surveys were done annually after the first rains of the hydrological year, i.e. the first autumn rains, usually in October.
Due to climate change, in recent years the rainy season has been delayed until the beginning of the year. This protocol has stablished in 2007 and it has done annually until the present (2022), except in 2021 when due to logistical problems no census was made. Censuses are carried out through 12 prefixed transect, with sand substrate, in Doñana National Park.
Each transect consists of a 2 km of length and 1.5 m of width that is done by a car at a constant speed between 10 and 15 km/h.
Transects are cleaned the day before of the census with a metal beam to facilitate the read of the tracks and to ensure that the foot prints were from the previous day.
Each transect is repeated in three consecutive days, and during the transect the sand is cleaned for the next day.
In the census an expert in mammals’ tracks identifies all the tracks, i.e. groups of carnivore foot prints, and he/she records them in Cybertracker.
That way, tracks' information like coordinates, hour, species identification and observation was recorded; and also the information of each transect was recorded: sampler, drivers, date, start and end (hour and coordinates).
This method enables to calculate Kilometric Abundance Indexes (KAI) for each species and transect.
In order to clarify all carnivore datasets, the data was separated by species, this allows concrete analysis by species.
In this dataset Eurasian otter´s (Lutra lutra) data is presented., [Methods for processing the data] The data was recorded in CyberTracker sequence. The protocol used has been supervised by researchers and the data have been validated by the members who performed the sampling. The raw data was processed with Excel., The long-term monitoring of carnivore tracks in Doñana is part of a harmonised protocol for the Long-term Ecological Monitoring Program of Natural Resources and Processes targeting mammals' populations. The general aim of this protocol is to study the temporal evolution of the relative density of the main species of carnivores in the main habitats of the Doñana National Park. Tracks surveys were done annually after the first rains of the hydrological year, i.e. the first autumn rains, usually in October. Due to climate change, in recent years the rainy season has been delayed until the beginning of the year. This protocol has stablished in 2007 and it has done annually until the present (2022), except in 2021 when due to logistical problems no census was made. Censuses are carried out through 12 prefixed transect, with sand substrate, in Doñana National Park. Each transect consists of a 2 km of length and 1.5 m of width that is done by a car at a constant speed between 10 and 15 km/h. Transects are cleaned the day before of the census with a metal beam to facilitate the read of the tracks and to ensure that the foot prints were from the previous day. Each transect is repeated in three consecutive days, and during the transect the sand is cleaned for the next day. In the census an expert in mammals’ tracks identifies all the tracks, i.e. groups of carnivore foot prints, and he/she records them in Cybertracker. That way, tracks' information like coordinates, hour, species identification and observation was recorded; and also the information of each transect was recorded: sampler, drivers, date, start and end (hour and coordinates). This method enables to calculate Kilometric Abundance Indexes (KAI) for each species and transect. In order to clarify all carnivore datasets, the data was separated by species, this allows concrete analysis by species. In this dataset Eurasian otter´s (Lutra lutra) data is presented., We acknowledge financial support from National Parks Autonomous Agency (OAPN) in 2007; the Singular Scientific and Technical Infrastructures from the Spanish Science and Innovation Ministry (ICTS-MICINN); the Ministry of Agriculture, Livestock, Fisheries and Sustainable Development from the Regional Government of Andalusia (CAGPDES-JA) since 2011; the Doñana Biological Station from the Spanish National Research Council (EBD-CSIC) since all the study period (2011); the Ministry of Environmetal sustainability and blue economy from the Regional Goverment of Andalusia since 2017 with the LIFE-ADAPTAMED project;
Ministry of Science and Innovation (Recovery, Transformation and Resilence Plan); and the European Comision with the Long-term Ecosystem Research in Europe (eLTER) (a HORIZON funding coordination of the European funding programme for research and innovation) and NextGenerationEU funding., 1. icts-rbd-LutraTracks_ev_20230915: eventID, institutionCode, institutionID, datasetName, eventDate, year, month, day, verbatimEventDate, eventTime, country, continent, countryCode, stateProvince, county, municipality, locality, verbatimLocality, verbatimCoordinates, geodeticDatum, samplingProtocol, SampleSizeValue, sampleSizeUnit, samplingEffort and eventRemarks. 2. icts-rbd-LutraTracks_occ_20230915: eventID, occurrenceID, collectionCode, , decimalLatitude, decimalLongitude, dynamicProperties, basisOfRecord, recordedBy, occurrenceStatus, individualCount, identifiedBy, scientificName, verbatimScientificName, kingdom, phylum, class, order, family, genus, specificEpithet, scientificNameAuthorship, taxonRank, organismQuantity, organismQuantityType and occurrenceRemarks., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/339187, https://doi.org/10.20350/digitalCSIC/15683
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339187
HANDLE: http://hdl.handle.net/10261/339187, https://doi.org/10.20350/digitalCSIC/15683
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339187
PMID: http://hdl.handle.net/10261/339187, https://doi.org/10.20350/digitalCSIC/15683
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339187
Ver en: http://hdl.handle.net/10261/339187, https://doi.org/10.20350/digitalCSIC/15683
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339187
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