Resultados totales (Incluyendo duplicados): 34260
Encontrada(s) 3426 página(s)
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/19406
Dataset. 2021

TUNÍSIA, TERRA D'ÀMFORES

  • Pérez González, Jordi
Dades complementàries de l'activitat didàctica titulada 'Tunísia, terra d'àmfores' emmarcada dins l'activitat cultural 'País convidat' de la Setmana de la Internacionalització de la UdG 2021

Proyecto: //
DOI: http://hdl.handle.net/10256/19406
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/19406
HANDLE: http://hdl.handle.net/10256/19406
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/19406
PMID: http://hdl.handle.net/10256/19406
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/19406
Ver en: http://hdl.handle.net/10256/19406
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/19406

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

LONG-TERM MONITORING OF LIZARDS AND GECKOS IN DOÑANA 2005-2021

  • Andreu, Ana C.
  • Arribas, Rosa
  • Román, Isidro
  • Márquez-Ferrando, Rocío
  • Díaz-Delgado, Ricardo
  • Bustamante, Javier
Dataset are structured following well-established data formats Darwing Core. Three files are provided. The first file (Don_liz-gec_event_20221201) contains the information of the project, the institution and the description each event (time of occurrence, geographical coordinates, habitat type, etc…); the second file (Don_liz-gec_occ_20221201) contains the information of the occurrences of species recorded in each transect, taxonomic classification, geographoical coordinates of its observation, etc…; and the third file (Don_liz-gec_mof_20221201) provide information of the description of other variables measured during counts., The monitoring of lizards and geckos’ community in Doñana was initiated in 2005 as part of the monitoring program of natural resources and processes. One of the aims of this project was to obtain a temporal and continuous series of data of the presence and abundance of these species to detect changes and trends in their wild populations within the protected area. Lizard and gecko counts are collected annually by members of the monitoring team three times per year in the periods when reptile activity is high (two samplings in March-June and one sampling in September-October), with good environmental conditions (temperature between 17 and 25 ºC and absence of rain or strong wind conditions). The method used to record the presence and abundance of lizard and gecko species (kilometric index: number of individuals/km) are the transect censuses. Individuals are visually searched along seven transects (linear or circular) that are carried out by one trained person on foot. Each transect have an established length, but the length surveyed is different (averaged 1858 ± 51.86 meters). Each transect is located in dunes or mediterranean vegetation habitats, representative of Doñana ecosystems. Two transects runs through wooden footpaths (within the Natural Park and five transects are placed on sand-trails (4 within the National Park and one in Natural Park which contains a small part of wooden footpath). Linear transects have been surveyed in the outward track direction and after waiting 15 minutes it has been again performed on the way back. This information is valid to account for species presence in the area. However, we suggest to choose the first survey performed for statistical analyses that require independence of samples. Eight species can be potentially observed during the samplings: Mediterranean house gecko (Hemidactylus turcicus), Common Wall Gecko (Tarentola mauritanica), Fringe-fingered Lizard (Acanthodactylus erythrurus), Algerian Psammodromus (Psammodromus algirus), Western Psammodromus (Psammodromus occidentalis), Carbonell's wall lizard (Podarcis carbonelli), Andalusian wall lizard (Podarcis vaucheri), Ocellated lizard (Timon lepidus). Other reptile species present in Doñana have not been included in this study as the detection with this method is very low. For instance, to detect species with a fossorial behaviour (the Mediterranean Worm Lizard Blanus cinereus) or those cryptic as adders (Vipera latastei), it is required larger investment of survey which consist in looking under vegetation, burrows or logs (there are not stones in Doñana). 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 was registered in Excel file and since 2008 data is recorded with the app CyberTracker (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)., 1. Don_liz-gec_event_20221201: 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. Don_liz-gec_occ_20221201: RecordedBy, eventID, OccurrenceID, OcurrenceTime, decimalLatitude, decimalLongitude, basisOfRecord, individualCount, lifeStage, sex, OccurrenceRemarks, behavior, kingdom, Class, Family, scientificName, genus, specificEpithet, scientificNameAuthorship, taxonRank.-- 3. Don_liz-gec_mof_20221201: eventID, measurementID, measurementType, measurementValue, measurementUnit, measurementMethod., 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

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/273128
Dataset. 2022

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

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