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Dipòsit Digital de Documents de la UAB
oai:ddd.uab.cat:264345
Dataset.

RAW DATA FROM A MS WITH THE TENTATIVE TITLE : CELL PENETRATION OF RECEPTOR-TARGETED PROTEIN-ONLY NANOPARTICLES ASSISTED BY THE TRANSLOCATION DOMAIN OF THE DIPHTHERIA TOXIN

  • Voltà-Durán, Eric
  • Sanchez, Julieta M.
  • Parladé Molist, Eloi
  • Serna, Naroa
  • Vázquez Gómez, Esther
  • Unzueta Elorza, Ugutz
  • Villaverde Corrales, Antonio
  • Institut Germans Trias i Pujol. Institut de Recerca contra la Leucèmia Josep Carreras
Raw data of a set of experiments aimed to explore the properties of the diftheria toxin translocation domain placed in receptor-targeted self-assembling nanoparticles based on recombinant proteins

Proyecto: //
DOI: https://ddd.uab.cat/record/264345
Dipòsit Digital de Documents de la UAB
oai:ddd.uab.cat:264345
HANDLE: https://ddd.uab.cat/record/264345
Dipòsit Digital de Documents de la UAB
oai:ddd.uab.cat:264345
PMID: https://ddd.uab.cat/record/264345
Dipòsit Digital de Documents de la UAB
oai:ddd.uab.cat:264345
Ver en: https://ddd.uab.cat/record/264345
Dipòsit Digital de Documents de la UAB
oai:ddd.uab.cat:264345

Dipòsit Digital de Documents de la UAB
oai:ddd.uab.cat:264385
Dataset.

HIGH THROUGHPUT STATIONARY 13C-METABOLIC FLUX ANALYSIS OF 3-HYDROXYPROPIONIC ACID PRODUCING PICHIA PASTORIS STRAINS. SUPPLEMENTARY MATERIALS OF CHAPTER 5 OF THE PHD THESIS OF ALBERT FINA ROMERO

  • Fina Romero, Albert
  • Albiol i Sala, Joan
  • Ferrer, Pau
Altres ajuts: European Molecular Biology Organization (EMBO) - Short-Term Fellowship 8853, Supplementary files of Chapter 5 of the PhD Thesis of Albert Fina Romero. This chapter describes the fluxome of 3-hydroxypropionic acid producing Pichia pastoris recombinant strains. Glycerol was used as a sole carbon source. A High Throughput platform was used to simultaneously characterize the fluxome of 10 recombinant strains at pH 5 and 6 recombinant strains at pH 3.5. All the experiments were carried in triplicates. To determine the intracellular fluxes, stationary 13C-Metabolic Flux Analysis was used using the data of the isotopologue distribution of the proteinogenic amino acids. The files attached herein contain: the description of how to obtain the models used for this study, the raw data obtained from the mini-bioreactor cultivations, the files to process the raw data, and the results (bioprocess parameters and fluxes from 13C-Metabolic flux analysis and Flux Balance Analysis).

Proyecto: //
DOI: https://ddd.uab.cat/record/264385
Dipòsit Digital de Documents de la UAB
oai:ddd.uab.cat:264385
HANDLE: https://ddd.uab.cat/record/264385
Dipòsit Digital de Documents de la UAB
oai:ddd.uab.cat:264385
PMID: https://ddd.uab.cat/record/264385
Dipòsit Digital de Documents de la UAB
oai:ddd.uab.cat:264385
Ver en: https://ddd.uab.cat/record/264385
Dipòsit Digital de Documents de la UAB
oai:ddd.uab.cat:264385

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/281562
Dataset. 2022

AMPLITUDE_RESULTS_FIGS_4_5 [DATASET] OF UNDERSTANDING LIFE AT HIGH TEMPERATURES. RELATIONSHIPS OF MOLECULAR CHANNELS IN ENZYMES OF METHANOGENIC ARCHAEA AND THEIR GROWTH TEMPERATURES

  • Ginsbach, Laura F.
  • González Grau, Juan Miguel
Los datos pertenecen al trabajo Ginsbach, Laura F.; González Grau, Juan Miguel: of Understanding life at high temperatures. Relationships of molecular channels in enzymes of methanogenic Archaea and their growth temperatures, Figure 4. Amplitude and average of the molecular tunnel dimensions, length (A, D, G), surface (B, E, H) and volume (C, F, I) (in Å), predicted for the methyl-CoM reductase (Mmr) gene subunits, alpha (A, B, C), beta (D, E, F) and gamma (G, H, I) from methanogenic Archaea classified in three classes of optimum growth temperature (<50ºC; 50-80ºC; >80ºC). Grey bars correspond to the amplitude of data observed for estimates of the molecular tunnel dimensions. Red squares represent the average dimensions for each Figure 5. Amplitude and average of the molecular tunnel dimensions, length (A, D, G), surface (B, E, H) and volume (C, F, I) (in Å), predicted for the heterodisulfide reductas (Hdr) gene subunits, A (A, B, C), B (D, E, F) and C (G, H, I) from methanogenic Archaea classified in three classes of optimum growth temperature (<50ºC; 50-80ºC; >80ºC). Grey bars correspond to the amplitude of data observed for estimates of the molecular tunnel dimensions. Red squares represent the average dimensions for each growth temperature class. Error bars for the average values represent a standard deviation., This is funding from the Ministry of Science and Innovation, project EQC2019-005634-P (cofunded by FEDER) and PID2020-119373GB-I00., Peer reviewed

DOI: http://hdl.handle.net/10261/281562, https://doi.org/10.20350/digitalCSIC/14769
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/281562
HANDLE: http://hdl.handle.net/10261/281562, https://doi.org/10.20350/digitalCSIC/14769
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/281562
PMID: http://hdl.handle.net/10261/281562, https://doi.org/10.20350/digitalCSIC/14769
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/281562
Ver en: http://hdl.handle.net/10261/281562, https://doi.org/10.20350/digitalCSIC/14769
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/281562

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272029
Dataset. 1966

PESCAS ZOOPLANCTON - MAGGA DAN 1966-1967

  • San Feliu, J. M.
Conjunto de datos de las pescas de zooplancton durante las Expeditions Antarctiques Belgo-Neerlandaises 1966-1967 a bordo del los Croisieres Océanographiques "Magga Dan".-- Disponible en la caja de la campaña en el depósito de la biblioteca del ICM-CSIC, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/272029, https://doi.org/10.20350/digitalCSIC/14671
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272029
HANDLE: http://hdl.handle.net/10261/272029, https://doi.org/10.20350/digitalCSIC/14671
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272029
PMID: http://hdl.handle.net/10261/272029, https://doi.org/10.20350/digitalCSIC/14671
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272029
Ver en: http://hdl.handle.net/10261/272029, https://doi.org/10.20350/digitalCSIC/14671
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272029

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272641
Dataset. 2022

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 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. 2022

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. 2021

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. 2022

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:10261/272907
Dataset. 2022

SUPPLEMENTARY MATERIAL FROM &QUOT;THE BIOGEOGRAPHY OF COMMUNITY ASSEMBLY: LATITUDE AND PREDATION DRIVE VARIATION IN COMMUNITY TRAIT DISTRIBUTION IN A GUILD OF EPIFAUNAL CRUSTACEANS&QUOT;

  • Gross, Collin P.
  • Duffy, Emmett
  • Hovel, Kevin
  • Kardish, Melissa R.
  • Reynolds, Pamela L.
  • Boström, Christoffer
  • Boyer, Katharyn
  • Cusson, Mathieu
  • Eklöf, Johan
  • Engelen, Aschwin H.
  • Eriksson, Britas Klemens
  • Fodrie, Fredrick Joel
  • Griffin, John N.
  • Hereu, Clara M.
  • Hori, Masakazu
  • Hughes, A. Randall
  • Ivanov, Mikhail V.
  • Jorgensen, Pablo
  • Kruschel, Claudia
  • Lee, Kun-Seop
  • Lefcheck, Jonathan
  • McGlathery, Karen J.
  • Moksnes, Per-Olav
  • Nakaoka, Masahiro
  • O'Connor, Mary
  • O'Connor, Nessa E.
  • Olsen, Jeanine
  • Orth, Robert J.
  • Peterson, Bradley J.
  • Reiss, Henning
  • Rossi, Francesca
  • Ruesink, Jennifer
  • Sotka, Erik E.
  • Thormar, Jonas
  • Tomàs, Fiona
  • Unsworth, Richard
  • Voigt, Erin
  • Whalen, Matthew A.
  • Ziegler, Shelby
  • Stachowicz, J. J.
While considerable evidence exists of biogeographic patterns in the intensity of species interactions, the influence of these patterns on variation in community structure is less clear. Studying how the distributions of traits in communities vary along global gradients can inform how variation in interactions and other factors contribute to the process of community assembly. Using a model selection approach on measures of trait dispersion in crustaceans associated with eelgrass (Zostera marina) spanning 30° of latitude in two oceans, we found that dispersion strongly increased with increasing predation and decreasing latitude. Ocean and epiphyte load appeared as secondary predictors; Pacific communities were more overdispersed while Atlantic communities were more clustered, and increasing epiphytes were associated with increased clustering. By examining how species interactions and environmental filters influence community structure across biogeographic regions, we demonstrate how both latitudinal variation in species interactions and historical contingency shape these responses. Community trait distributions have implications for ecosystem stability and functioning, and integrating large-scale observations of environmental filters, species interactions and traits can help us predict how communities may respond to environmental change., This research was funded by National Science Foundation grants to J.E.D., J.J.S. and K.A.H. (NSF-OCE 1336206, OCE 1336905, and OCE 1336741). C.B. was funded by the Åbo Akademi University Foundation., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/272907
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272907
HANDLE: http://hdl.handle.net/10261/272907
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272907
PMID: http://hdl.handle.net/10261/272907
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272907
Ver en: http://hdl.handle.net/10261/272907
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272907

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272926
Dataset. 2022

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

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