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r-INCLIVA. Repositorio Institucional de Producción Científica de INCLIVA
oai:fundanet.incliva.es:p4067
Otros (other)

LAPAROSCOPIC NEPHROURETERECTOMY AS TREATMENT IN OBSTRUCTED HEMIVAGINA AND IPSILATERAL RENAL AGENESIS (OHVIRA) SYNDROME.

  • Medina-Gonzalez M
  • Panach-Navarrete J
  • Valls-Gonzalez L
  • Castello-Porcar A
  • Martinez-Jabaloyas J

Proyecto: //
DOI: https://www.fundanet.incliva.es/publicaciones/ProdCientif/PublicacionFrw.aspx?id=4067
r-INCLIVA. Repositorio Institucional de Producción Científica de INCLIVA
oai:fundanet.incliva.es:p4067
HANDLE: https://www.fundanet.incliva.es/publicaciones/ProdCientif/PublicacionFrw.aspx?id=4067
r-INCLIVA. Repositorio Institucional de Producción Científica de INCLIVA
oai:fundanet.incliva.es:p4067
PMID: https://www.fundanet.incliva.es/publicaciones/ProdCientif/PublicacionFrw.aspx?id=4067
r-INCLIVA. Repositorio Institucional de Producción Científica de INCLIVA
oai:fundanet.incliva.es:p4067
Ver en: https://www.fundanet.incliva.es/publicaciones/ProdCientif/PublicacionFrw.aspx?id=4067
r-INCLIVA. Repositorio Institucional de Producción Científica de INCLIVA
oai:fundanet.incliva.es:p4067

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272641
Dataset

GENERALIZATION OF DEEP LEARNING ALGORITHMS FOR CHEST X-RAYS

  • Menéndez Fernández-Miranda, Pablo
  • Sanz Bellón, Pablo
  • Pérez del Barrio, Amaia
  • Esteve Domínguez, Anna
  • Lloret Iglesias, Lara
  • Marqués Fraguela, Enrique
  • Rodríguez González, David
The dataset is divided by institutions and by x-ray machines.-- Appropriate images were selected for this project using the MicroDicom software. All images are anonymised.-- Methods for processing the data: 1. Resize [512, 512], 2. Remove the letters by cropping the image 0.15%, 3. Resize [512, 512], 4. Max-min normalize, 5. Convert to JPG., Dataset embargado. Para poder utilizarlo es necesario ponerse en contacto con pablomenendezfernandezmiranda@gmail.com. No se permite la utilización de este dataset sin un consentimiento explícito. Una vez autorizada su utilización se permitirá su utilización reconociendo la autoridad (BY), no permitiendo el uso de obras derivadas (ND) y no comerciales (NC)., Dataset embargoed. In order to use it, it is necessary to contact pablomenendezfernandezmiranda@gmail.com. The use of this dataset is not allowed without explicit consent. Once authorized, the use of this dataset will be allowed with acknowledgement of authority (BY), not allowing the use of derivative works (ND) and non-commercial (NC)., Los archivos se encuentran comprimidos en varias partes. Para poder descomprimir el dataset entero es necesario descargar los distintos fragmentos, descomprimirlos por separado y meter su contenido en una única carpeta. Una vez hecho esto, si se descomprime únicamente el archivo acabado en .001 se unirán automáticamente los fragmentos y el dataset podrá ser accesible en su formato original. Hay que tener cuidado con que no haya ningún fichero que se haya corrompido durante la descarga porque solo funcionará si todos los archivos están disponibles., Dataset con imágenes de rayos-X patológicas y de control de neumonía provocada por COVID-19 tomadas en distintos hospitales y equipos de adquisición de imagen. Todos los pacientes tenían PCR positiva a la hora de realizarles la radiografía., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/272641, https://doi.org/10.20350/digitalCSIC/14677
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272641
HANDLE: http://hdl.handle.net/10261/272641, https://doi.org/10.20350/digitalCSIC/14677
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272641
PMID: http://hdl.handle.net/10261/272641, https://doi.org/10.20350/digitalCSIC/14677
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272641
Ver en: http://hdl.handle.net/10261/272641, https://doi.org/10.20350/digitalCSIC/14677
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272641

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272367
Dataset

TERRESTRIAL REPTILE COUNTS IN DOÑANA 2005-2021

  • Andreu, Ana C.
  • Arribas, Rosa
  • Román, Isidro
Dataset are structured following well-established data formats Darwing Core. Three files are provided. The first file (ebd-rept_event_20220606) contains the information of the project, the institution and the description each event (time of occurrence, geographical coordinates, habitat type, etc…); the second file (ebd-rept_occ_20220606) contains the information of the occurrences of species recorded in each transect, taxonomic classification, geographoical coordinates of its observation, etc…; and the third file (ebd-rept_measurOrfact_20220606) provide information of the description of other variables measured during counts., 1. ebd-rept_event_20220606: eventID, institutionCode, institutionID, datasetName, continent, country, countryCode, Province, Location, Locality, LocalityID, eventDate, eventTime, decimalLatitude, decimalLongitude, decimalLatitudeEnd, decimalLongitudeEnd, verbatimCoordinate_func, verbatimCoordinate, habitat, sampleSizeValue, sampleSizeUnit, samplingEffort, recordedBy, samplingProtocol.-- 2. ebd-rept_occ_20220606: RecordedBy, eventID, OccurrenceID, OcurrenceTime, decimalLatitude, decimalLongitude, basisOfRecord, individualCount, lifeStage, sex, OccurrenceRemarks, behavior, kingdom, Class, Family, scientificName, genus, specificEpithet, scientificNameAuthorship, taxonRank.-- 3. ebd-rept_measurOrfact_20220606: eventID, measurementID, measurementType, measurementValue, measurementUnit, measurementMethod., The monitoring of the reptile community in Doñana was initiated in 2005 as part of the Monitoring Program of Natural Resources and Processes. The aim was to obtain a temporal and continuous series of data in the abundance of reptile species and analyze the trends to detect changes in their populations. The records are collected annually between 2005-2021 by members of the monitoring team which perform 7 sampling transects in different habitats (dunes and Mediterranean vegetation) three times per year in the periods when reptile activity is high (March-June and September-October), with good environmental conditions (temperature between 17 and 25C and absence of rain). Reptiles species are visually searched along the transects (linear or circular) that are carried out by one person on foot. Length transects are variable, averaged 1858 ± 51.86 meters, where all reptiles detected are recorded in the app Cybertracker. Three transects runs through wooden footpaths (within the Natural Park) and four transects (within the National Park) are placed on sand-trails surrounded by Mediterranean shrublands. The method used records only terrestrial species since it has not been able to detect those species that have a fossorial behaviour (the Mediterranean Worm Lizard Blanus cinereus) or those species that used to be frequently hidden in dense vegetation (the Mediterranean Chamaleon Chamaeleo chamaeleon). Data recorded during the surveys include weather description (cloud cover, temperature, rain, or wind speed), species identification, number of individuals, sex and life stage of the reptiles when possible, as well as time and georeferenced data of the observation. Between 2005-2007 data is registered in Excel file and since 2008 data is recorded in CyberTracker sequence (see protocol). The protocol used has been supervised by herpetological researchers and the data have been validated by the members who performed the transects., We acknowledge financial support from National Parks Autonomous Agency (OAPN) between 2002-2007; Singular Scientific and Technical Infrastructures from the Spanish Science and Innovation Ministry (ICTS-MICINN); Ministry of Agriculture, Livestock, Fisheries and Sustainable Development from the Regional Government of Andalusia (CAGPDES-JA) since 2007; and Doñana Biological Station from the Spanish National Research Council (EBD-CSIC) since all the study period (2005)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/272367, https://doi.org/10.20350/digitalCSIC/14674
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272367
HANDLE: http://hdl.handle.net/10261/272367, https://doi.org/10.20350/digitalCSIC/14674
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272367
PMID: http://hdl.handle.net/10261/272367, https://doi.org/10.20350/digitalCSIC/14674
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272367
Ver en: http://hdl.handle.net/10261/272367, https://doi.org/10.20350/digitalCSIC/14674
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272367

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272848
Dataset

MICROBIAL NARROW-ESCAPE IS FACILITATED BY WALL INTERACTIONS: SIMULATION SUPPLEMENTARY MATERIAL

  • Souzy, Mathieu
  • Allard, Antoine
  • Contino, Matteo
  • Tuval, Idan
  • Polin, Marco
Simulation codes and simulation results for the paper "Microbial narrow-escape is facilitated by wall interactions"., We acknowledge financial support from grants CTM2017-83774-P and IED2019-000958-I (IT), PID2019-104232GB-I00 (IT and MP) from the Spanish Ministerio de Ciencia e Innovaci ́on (MICINN), the Ram ́on y Ca jal Program (RYC-2018-02534; MP), ECOST-STSM-Request-CA17120-47203 for the COST Action (European Cooperation in Science and Technol- ogy); RPG-2018-345 (AA and MP) from The Leverhulme Trust; H2020 MSCA ITN PHYMOT (Grant agreement No 955910; IT and MP). MS also acknowledges A. Marin for his support., Peer reviewed

DOI: http://hdl.handle.net/10261/272848
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272848
HANDLE: http://hdl.handle.net/10261/272848
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272848
PMID: http://hdl.handle.net/10261/272848
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272848
Ver en: http://hdl.handle.net/10261/272848
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272848

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272869
Dataset

DATASET: MESOSCALE ASSESSMENT OF SEDENTARY COASTAL FISH DENSITY USING VERTICAL UNDERWATER CAMERAS

  • Follana-Berná, Guillermo
  • Palmer, Miquel
Version 6.-- The script.R file contains the code for the analysis. The input.RData file is the data to run in the script and the estimates.RData file contains the results of the analysis., Accurate and precise monitoring of the absolute density (i.e., number of fish per area or volume unit) of exploited fish stocks would be strongly advisable for deriving stock status and for designing proper management plans. Moreover, monitoring should be achieved at relevant (i.e., sufficiently large) temporal and spatial scales. This objective is particularly challenging for data-poor fisheries, as is often the case for recreational fisheries. Therefore, the feasibility of underwater video monitoring (vertical unbaited cameras) for estimating, as a proof of concept, the absolute density (and its ecological drivers) of a coastal sedentary fish species is demonstrated. The absolute density of a small serranid (Serranus scriba) targeted by recreational fishing was estimated along the southern coast of Mallorca Island (nearly 100 km). The median fish density ranged between 111 ind/km2 (Es Molinar) and 14,110 ind/km2 (Cabrera). Absolute density was correlated with fishing exposure, habitat, and depth. Site specific, seemingly long-term, effects of fishing exposure were negatively correlated with fish density, but short-term effects (assessed by the interaction between fishing exposure and before/after the season when recreational fishing occurred in the study area) were not detected. We suggest that the short-term effects of fishing may remain undetected because highly exploited sites could contain fish that are already not vulnerable to recreational fishing gear, irrespective of the short-term fishing pressure exerted. Such a process may explain some hyper-depletion patterns and should preclude the use of fisheries-dependent data for monitoring fish density. The results reported here indicate that monitoring fish abundance with vertical unbaited cameras at large spatial and temporal scales can be a reliable alternative for many species., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/272869
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272869
HANDLE: http://hdl.handle.net/10261/272869
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272869
PMID: http://hdl.handle.net/10261/272869
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272869
Ver en: http://hdl.handle.net/10261/272869
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272869

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272926
Dataset

DATASET: SUSCEPTIBILITY TO MILK FAT DEPRESSION IN DAIRY SHEEP AND GOATS: INDIVIDUAL VARIATION IN RUMINAL FERMENTATION AND BIOHYDROGENATION

  • Della Badia, Antonella
  • Frutos, Pilar
  • Toral, Pablo G.
  • Hervás, Gonzalo
Agencia Estatal de Investigación (AGL2017-87812-R y PID2020-113441RB-I00). Cofinanciación FEDER. A. Della Badia: contrato predoctoral FPI (PRE2018-086174) del MICINN. Cofinanciación Fondo Social Europeo., Peer reviewed

DOI: http://hdl.handle.net/10261/272926, https://doi.org/10.20350/digitalCSIC/14678
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272926
HANDLE: http://hdl.handle.net/10261/272926, https://doi.org/10.20350/digitalCSIC/14678
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272926
PMID: http://hdl.handle.net/10261/272926, https://doi.org/10.20350/digitalCSIC/14678
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272926
Ver en: http://hdl.handle.net/10261/272926, https://doi.org/10.20350/digitalCSIC/14678
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272926

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/273128
Dataset

BIOGEOCHEMICAL VARIABLES ALONG THE SOIL PROFILE OF THREE SALTMARSH CORES SAMPLED IN AN ESTUARY OF THE GULF OF BISCAY

  • Mazarrasa, Inés
  • García-Orellana, Jordi
  • Puente, Araceli
  • Juanes, José A.
This database contains data on different biogeochemical variables measured in three soil cores (32-39 cm long) sampled in a saltmarsh community of the Bay of Santander (Gulf of Biscay). Soil cores were extracted in June 2019 within an area of 25 m2 in a high marsh community located at the mouth of the Miera estuary, within the Bay of Santander (43.452136°/ -3.748134°) by manually hammering a PVC tube (60 cm L * 7 cm Ø). Compression was measured during sampling of each of the cores. The cores were preserved frozen until processing. The longest core (BS2A1, 39 cm) was sliced every 1 cm, whereas the other two cores (BSA2, BS2A3) were sliced every 2 cm for the top 20 cm and every 5 cm for the deeper layers. Each sediment slice was measured for wet volume and dried at 60 ºC for a minimum of 72 h. The dry weight of each slice was measured and used together with wet volume to estimate sediment dry bulk density (DBD in g·cm-3). Soil organic carbon content (Corg % DW) was measured every two or three slices along the sediment depth profile of each core. Corg was analyzed in the IHLab Bio laboratory of the IHCantabria using a TC analyzer (Shimadzu TOC-L + SSM-5000A). Grain size analysis was performed every other sample at the Universitat de Barcelona with a Beckman Coulter LS GB500. Organic Corg isotopic signature (δ13Corg) (in pre-acidified subsamples) was measured using an Elemental Analyzer Flash IRMS coupled with an Isotope Ratio Mass Spectrometry (DeltaV A) at the Universidad de la Coruña. The years of sediment accumulation were estimated from concentration profiles of 210Pb, determined by alpha spectrometry through the measurement of its granddaughter 210Po, assuming radioactive equilibrium between both radionuclides. About 100–200 mg aliquots of each sample were spiked with 209Po and microwave digested with a mixture of concentrated HNO3 and HF. Boric acid was then added to complex fluorides. The resulting solutions were evaporated and diluted to 100 mL 1M HCl and Po isotopes were auto plated onto pure silver disks. Polonium emissions were measured by alpha spectrometry using PIPS detectors (CANBERRA, Mod.PD-450.18 A.M). Reagent blanks were comparable to the detector backgrounds. Analyses of replicate samples and reference materials were carried out systematically to ensure the accuracy and the precision of the results. The supported 210Pb was estimated as the average 210Pb concentration of the deepest layers once 210Pb reached constant values. Then, excess 210Pb (210Pbxs) concentrations were obtained by subtracting the supported 210Pb from the total 210Pb. Age model of the sediment depth profile records was obtained by modeling the 210Pbxs concentration profiles along the accumulated mass at each site. The model age of the sediment record was estimated using the Constant Flux: Constant Sedimentation model (CF:CS, 76). In order to assess the impact of the bridge construction on the biogeochemical properties of the saltmarsh soil, we compare all biogeochemical properties across two sections of the core, divided based on the results of 210Pb dating: sediments accumulated before and after the building of the bridge (i.e., before vs. after 1978).concentration profiles of 210Pb and applying the Constant Flux: Constant Sedimentation model (CF:CS, Krishnaswamy et al. 1971)., This database contains biogeochemical data on different biogeochemical variables measured in three soil cores sampled in a saltmarsh community of the Bay of Santander (Gulf of Biscay)., These data were compiled with the contribution of the LIFE Programme of the European Union to the Project ADAPTA BLUES (ref. LIFE18 CCA/ ES/001160). This document reflects only the author’s view and the Agency/ Commission is not responsible for any use that may be made of the information it contains.Authors acknowledges the financial support from the Government of Cantabria through the Fénix Programme. The authors want to thank the support of the Generalitat de Catalunya to MERS (2017 SGR-1588) and the Spanish Government for the “Maria de Maeztu” program for Units of Excellence to ICTA (grant no. CEX2019-000940-M)., -Infrastructure impact_Data.xlsx: the Database to be published. -Variables Database.xlsx, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/273128, https://doi.org/10.20350/digitalCSIC/14682
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/273128
HANDLE: http://hdl.handle.net/10261/273128, https://doi.org/10.20350/digitalCSIC/14682
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/273128
PMID: http://hdl.handle.net/10261/273128, https://doi.org/10.20350/digitalCSIC/14682
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/273128
Ver en: http://hdl.handle.net/10261/273128, https://doi.org/10.20350/digitalCSIC/14682
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/273128

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/273585
Dataset

WOODY PLANT SPECIES PRESENT IN SEMIARID ZIZIPHUS LOTUS SCRUBLANDS (HABITAT 5220*, EU) IN THE SOUTHEAST OF IBERIAN PENINSULA

  • González Robles, A.
  • Tarifa, Rubén
  • Rey, Pedro J.
  • Valera, Francisco
  • Pérez, Antonio J.
The community of woody species (shrubs and trees), with the capacity to act as nurse plants, was sampled in three habitat subtypes of Ziziphus lotus (Habitat 5220*, Habitat Directive UE): i) habitat dominated by Ziziphus lotus individuals (ZIZ) ; ii) habitat dominated by Maytenus senegalensis with Ziziphus lotus (ZIZMAY); iii) habitat dominated by Chamaerops humilis with Ziziphus lotus (ZIZCHA). Each habitat subtype was sampled at 8 locations using 25 [10x10 m] sampling squares (8 locations x 25 sampling squares = 200 squares per habitat subtype x 3 subtypes = 600 total squares). In each square, the list of woody plant species, with the capacity to act as nurses, and their covers (% or m2) was recorded. The squares were randomly distributed, trying to cover the largest possible area within each locality to avoid sampling bias. Rarefaction curves were used to calculate the diversity estimates per habitat subtype showed in .csv files (n for rarefaction curves per habitat subtype = n sampled squares per habitat subtype x 2 = 200 x 2 = 400). iNEXT package (Hsieh, Ma and Chao, 2020) of R sofware (R Core, 2021) was used to calculated the summaries and diversity estimates showed in .csv files., Our aim was to characterize the woody plant species, with the capacity to act as nurse plants, present in the arborescent scrubs with Ziziphus lotus (Habitat 5520*, Habitat Directive EU) in the semiarid southeast of the Iberian Peninsula, mainly in Almería province (Andalucia, Spain). We selected three habitat subtypes with Ziziphus lotus: i) habitat dominated by Ziziphus lotus individuals (ZIZ) ; ii) habitat dominated by Maytenus senegalensis with Ziziphus lotus (ZIZMAY); iii) habitat dominated by Chamaerops humilis with Ziziphus lotus (ZIZCHA)., This work was funded by Proyecto FEDER SUMHAL-Sustainability for Mediterraean Hospost in Andalusia integrating LifeWatch ERIC [Work Package 9. Task 9.3.2. Model impact of land use change] (LifeWatch ERIC – FEDER, POPE 2014-2020; Ministerio de Ciencia e Innovación, Spain); Junta de Andalucía Excelencia RNM- 766 project; and by funds from Fondo Europeo de Desarrollo Regional (FEDER- UJA 1261180 project, FEDER Andalucía operative programme). CSIC is acknowledged for supporting Open Access publication., Plant_database_Pop_Hab_ziziphus.csv [shows the list of woody plant species per sampled population with the information of habitat subtype and incidence per plant species] Plant_database_Hab_ziziphus.csv [shows the list of woody plant species per subtype of sampled habitat with the information of cover and incidence per plant species] Population_and_sampling_info.csv [has information about samplings and diversity values per sampled population according the data of 'Plant_database_Pop_Hab_ziziphus.csv' file] Habitats_info.csv [has information about samplings and rarefaction diversity estimates per habitat according the data of 'Plant_database_Hab_ziziphus.csv' file] Metada.csv [records information about the meaning of columns in 'Plant_database_Pop_Hab_ziziphus.csv', 'Plant_database_Habitats_ziziphus.csv', 'Population_and_sampling_info' and 'Habitats_info.csv' files], Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/273585, https://doi.org/10.20350/digitalCSIC/14685
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/273585
HANDLE: http://hdl.handle.net/10261/273585, https://doi.org/10.20350/digitalCSIC/14685
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/273585
PMID: http://hdl.handle.net/10261/273585, https://doi.org/10.20350/digitalCSIC/14685
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/273585
Ver en: http://hdl.handle.net/10261/273585, https://doi.org/10.20350/digitalCSIC/14685
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/273585

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/273591
Dataset

FLORAL VISITOR SPECIES PRESENT IN SEMIARID ZIZIPHUS LOTUS SCRUBLANDS (HABITAT 5220*, EU) IN THE SOUTHEAST OF IBERIAN PENINSULA

  • Pérez, Antonio J.
  • González Robles, A.
  • Rey, Pedro J.
We sampled the insect assemblage visiting flowers in the arborescent scrublands with Ziziphus lotus (Habitat 5520*, Habitat Directive EU) in the semiarid southeast of the Iberian Peninsula, mainly in Almería province (Andalucia, Spain). We selected 6 localities with the presence of this Ziziphus lotus habitat: i) 2 localities in habitat dominated by Ziziphus lotus individuals (ZIZ); ii) 2 localities in habitat dominated by Maytenus senegalensis with Ziziphus lotus (ZIZMAY); iii) 2 localities in habitat dominated by Chamaerops humilis with Ziziphus lotus (ZIZCHA). To study the community of insect floral visitors in these habitats, 6-7 transects of [50 m x 2 m] were defined in each locality, which were sampled by 50 min-censuses from February-July at 3 different times (pre-spring + spring + summer; total transects sampled = 38 transects x 3 censuses = 114 transects). The sampled transects were randomly distributed, trying to cover the largest possible area within each locality to avoid sampling bias. We recorded the insect community visiting flowers in terms of richness and abundance per transect and locality. The censuses were carried out on sunny days with low winds (<12Km/h), between 9:00-17:00, during the period of maximum insect activity. The diversity and abundance of insect floral visitor by transect were pooled by population/locality ('SUMMARY_Floral_visitors_pop.csv' file). Rarefaction curves were used to calculate the diversity estimates per locality showed in 'Population_and_sampling_info.csv' file (n for rarefaction curves per population = minimum number of sampled transects per population across season x 2 = 18 x 2 = 36 sample units). iNEXT package (Hsieh, Ma and Chao, 2020) of R sofware (R Core, 2021) was used to calculated the summaries and diversity stimates showed in .csv files, Our aim was to characterize the insect assemblage visiting flowers (floral visitors) in the arborescent scrublands with Ziziphus lotus (Habitat 5520*, Habitat Directive EU) in the semiarid southeast of the Iberian Peninsula, mainly in Almería province (Andalucia, Spain). We differentiated three habitat subtypes with Ziziphus lotus: i) habitat dominated by Ziziphus lotus individuals (ZIZ) ; ii) habitat dominated by Maytenus senegalensis with Ziziphus lotus (ZIZMAY); iii) habitat dominated by Chamaerops humilis with Ziziphus lotus (ZIZCHA)., This work was funded by Proyecto FEDER SUMHAL-Sustainability for Mediterraean Hotspots in Andalusia integrating LifeWatch ERIC [Work Package 9. Task 9.3.2. Model impact of land use change] (LifeWatch ERIC – FEDER, POPE 2014-2020; Ministerio de Ciencia e Innovación, Spain), Junta de Andalucía Excelencia RNM- 766 project, and by funds from Fondo Europeo de Desarrollo Regional (FEDER- UJA 1261180 project, FEDER Andalucía operative programme). CSIC is acknowledged for supporting Open Access publication, SUMMARY_Floral_visitors_pop.csv [shows the list, abundance, and incidence of floral visitor species per population or locality] Population_and_sampling_info.csv [has information of samplings and rarefaction diversity estimates per locality according to the data of 'SUMMARY_Floral_visitors_pop.csv' file] Metada.csv [records information about the meaning of columns in SUMMARY_Floral_visitors_pop.csv' and ' Population_and_sampling_info.csv' files], Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/273591, https://doi.org/10.20350/digitalCSIC/14686
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/273591
HANDLE: http://hdl.handle.net/10261/273591, https://doi.org/10.20350/digitalCSIC/14686
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/273591
PMID: http://hdl.handle.net/10261/273591, https://doi.org/10.20350/digitalCSIC/14686
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/273591
Ver en: http://hdl.handle.net/10261/273591, https://doi.org/10.20350/digitalCSIC/14686
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/273591

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/273883
Dataset

SEED DISPERSAL IN ANDALUSIAN OLIVE GROVES BY FRUGIVOROUS BIRDS

  • Rey, Pedro J.
  • Camacho, Francisco M.
  • Tarifa, Rubén
  • Pérez, Antonio J.
  • Martínez-Núñez, Carlos
All methodological information and farms and landscape characteristic information can be found in Rey et al (2021). Characterization of the avian seed dispersers and the seeds they mobilizes by mist-netting: From September 2019 to March 2020, we conducted bird mist-netting sessions in the 20 study olive farms monthly. Birds trapping was carried out for 3 h in each session (between mid-morning and noon). For each farm, two simultaneous capture zones, one in the olive field and the other in SNWH patches were considered, with a distance of 150 meters between zones. In each zone (habitat), we set two mist-nets of 12 × 2.5 meters and a mesh size of 16mm (24 linear meters of the net in total per zone). In each mist-net zone, a sound call that emitted songs of the frugivorous species present was arranged at random to attract birds. A 1-m wide strip of mosquito net was placed on the ground beneath the mist nets to collect the seeds excreted by the birds while they were trapped in the net. Once a bird was released from the net it was immediately introduced in a cloth bag with a paper cone located inside until the moment of seed collection/identification. All birds were kept in the cloth bags for 1 h, then ringed and released. For each individual captured, the total number of seeds of each species collected under the net and in the collector was recorded. Mobilised seeds to seed fall traps: - Seed_trap_2018: To determine the probability of seed deposition into different habitats within the olive farm and to characterize seed rain, we used plastic plant pots of 40 cm diameter and 20 cm depth as seed fall traps. Traps were covered with a 1 × 1 cm wire mesh to avoid seed predation by micro mammals and perforated on their base to drain rainwater. 18 seed fall traps were placed per farm in three different types of habitats (6 traps per habitat): beneath the olive tree canopy, beneath the canopy of isolated overtopping non-olive trees serving as perches to birds within the olive field, and within seminatural woodland habitat remnants. Traps were always set hanging from branches of trees and/or tall scrubs. Traps were active for 17 months, between October 2018 and March 2020 in 9 localities. We collected the trapped seeds periodically (every 3 months, with monthly-bimonthly checks to make sure that the traps were active). - Seed_trap_2021: in this case, we used plastic plants trays of 57 x 42 cm and 10 cm depth as seed fall traps. Traps were covered with a 1 × 1 cm wire mesh to avoid seed predation by micro mammals and perforated on their base to drain rainwater. 30 seed fall traps were placed per farm in seminatural woodland habitat remnants below fleshy- fruited shrub, other shrubs and perches. The traps were active for 6 months, between June 2021 and March 2022 in 12 localities. We collected the trapped seeds monthly., Our aim was to characterize the seeds of fleshy fruit species mobilized by avian frugivores in the olive grove farms of the Guadalquivir valley in Andalusia (South Spain), considering a landscape homogenization gradient. We further assessed the contribution of different frugivores to this function by mist-netting and scat collection. We differentiated two habitats within olive farms: olive grove matrix and seminatural woodland patches., This work was funded by RECOVECOS project -Evaluating the Recovery debt of ecosystem services provided by the fauna in permanent croplands: effects of land use intensification and landscape complexity in olive groves- (Ref.: PID2019-108332GB-100, MICIN/AEI/10.13039/501100011033), LIFE Program project OLIVARES VIVOS (ref. LIFE14 NAT/ES/001094) and FEDER SUMHAL project Work Package 9. Task 9.3.2. Model impact of land use change -Sustainability for Mediterraean Hotspots in Andalusia- integrating LifeWatch ERIC (LifeWatch ERIC – FEDER, POPE 2014-2020; Ministerio de Ciencia e Innovación, Spain), CSIC is acknowledged for supporting Open Access publication., 'summary_seed_dispersers.csv' file has information of the species of frugivorous birds that have been detected dispersing seeds in the olive grove per each farm. 'summary_mobilised_seed.csv' file has information of fleshy fruit seed species that have been detected dispersed in the olive groves per each farms 'farm_information.csv' records information about each farm like location (coordinates), ground herb management, Seminatural woodland cover in the landscape and farm size 'metadata' records information about the meaning of columns in 'summary_seed_dispersers.csv','summary_mobilised_seed.csv' and 'farm_information.csv' files, Peer reviewed

DOI: http://hdl.handle.net/10261/273883, https://doi.org/10.20350/digitalCSIC/14687
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/273883
HANDLE: http://hdl.handle.net/10261/273883, https://doi.org/10.20350/digitalCSIC/14687
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/273883
PMID: http://hdl.handle.net/10261/273883, https://doi.org/10.20350/digitalCSIC/14687
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/273883
Ver en: http://hdl.handle.net/10261/273883, https://doi.org/10.20350/digitalCSIC/14687
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/273883

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