cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.20350/digitalcsic/14883
title: Long-term monitoring of fish (abundance and distribution) of Doñana Wetlands 2004-2019

description: Dataset are structured following well-established data formats. Three files are provided. The first file (Don_fish_ev_20221222) contains the information of each event (eventID, event date, geographical coordinates, sample effort, etc…); the second file (Don_fish_occ_20221222) contains the information of the occurrences of fish species recorded in each station, taxonomic classification; and the third file (Don_fish_mof_20221222) provide information of the biometric variable (weight) of fish sample in each occurrence.
description: The monitoring of the fish community in Doñana wetlands was initiated in 2004 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 and distribution of fish species to analyze the evolution of their numbers and estimates biodiversity values. Data were recorded annually between 2004-2019 by more than 2 members of the monitoring team which performed samplings in different locations twice per year in winter-spring and summer seasons when the study sites are flooded. The fishes were sampled at the 139 stations classified according to their location (on either aeolian sands or marshland). Funnel traps were used as a sampling method. Between 5-9 funnel traps were randomly distributed (until 50 cm of depth) in each location, depending of the flooded area and depth. The traps were left for 24 hours and emptied the content into white sorting pans. Individuals were counted and identified until the maximun taxonomic level in the field and realease. During samplings, it was identified 15 families. The most abundances were Poecilidae and Cyprinidae. Data recorded during the surveys included species identification, number of individuals, sex and life stage (pupa, larvae, inmature, mature) of the organisms when possible, as well as the time and georreferenced data of the observation. Between 2004-2007 data was registered in Excel file and since 2008 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.
description: 1. Don_fish_ev_20221222: eventID, intitutionCode, institutionID, datasetName, eventDate, year, month, day, country, stateProvince, location, localityID, locality, decimalLatitude, decimalLongitude, habitat, sampleSizeUnit, sampleSizeEffort, DynamicPropiertiesEvent, eventRemarks, recordeBy.-- 2. Don_fish_occ_20221222: eventID, occurrenceID, individualCount, sex, lifeStage, kingdom, phylum, order, family, genus, specificEpithet, scientificName.-- 3. Don_fish_mof_20221222: OccurrenceID, measurementID, measurementType, measurementValue, measurementUnit, measurementMethod.
DOI: 10.20350/digitalcsic/14882
title: Long-term monitoring of macroinvertebrates (abundance and distribution) of Doñana Wetlands 2004-2019

description: Dataset are structured following well-established data formats. Three files are provided. The first file (Don_macroinv_ev_20221222) contains the information of each event (eventID, event date, geographical coordinates, sample effort, etc…); the second file (Don_macroinv_occ_20221222) contains the information of the occurrences of individuals recorded in each station and its taxonomic classification; and the third file (Don_macroinv_mof_20221222) provide information of biometric variable (weithg) of macroinvertebrates samples recorded in each occurrence.
description: The monitoring of the macroinvertebrates community in Doñana wetlands was initiated in 2004 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 and distribution of macroinvertebrates species to analyze the evolution of their numbers and estimates biodiversity values. Data were recorded annually between 2004-2019 by more than 2 members of the monitoring team which performed samplings in different locations twice per year in winter-spring and summer seasons when the study sites are flooded. The macroinvertebrates were sampled at the 139 stations classified according to their location (on either aeolian sands or marshland). Funnel traps were used as a sampling method. Between 5-9 funnel traps were randomly distributed (until 50 cm of depth) in each location, depending of the flooded area and depth. The traps were left for 24 hours and emptied the content into white sorting pans. Individuals were counted and identified until the maximun taxonomic level in the field and realease. During samplings, it was identified 65 families. The most abundances were Notonectidae and Corixidae. Data recorded during the surveys included species identification, number of individuals, sex and life stage (pupa, larvae, juvenile, adult) of the organisms when possible, as well as the time and georreferenced data of the observation. Between 2004-2007 data was registered in Excel file and since 2008 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.
description: 1. Don_macroinv_ev_20221222: eventID, intitutionCode, datasetName, eventDate, year, month, day, continent, country, stateProvince, location, localityID, locality, sampleSizeUnit, sampleSizeEffort, DynamicPropiertiesEvent, eventRemarks, recordedBy.-- 2. Don_macroinv_occ_20221222: eventID, occurrenceID, basisOfRecord, individualCount, sex, lifeStage, kingdom, phylum, order, family, genus, specificEpithet, scientificName.-- 3. Don_macroinv_mof_20221222: ocurrenceID, measurementID, measurementValue, measurementUnit, measurementType, measurementAccuracy, measurementMethod.
DOI: 10.20350/digitalcsic/14862
title: Reconstructing the Iberian salt-bearing rifted margin of the Southern Pyrenees: insights from the Organyà Basin

description: File List: Dips_fieldwork.dat; Dips_remote_sensing.dat
description: Description of methods used for collection/generation of data: fieldwork (compass), remote sensing (Equinor propietary software Outcrop Digitizer and GoogleEarth)
description: Fieldwork was integrated with remote sensing on satellite and drone derived 3D virtual outcrops to study the geometries of the Jurassic to Late Cretaceous sedimentary sequences belonging to the Organyà Basin, Catalunya, Spain. A total of 329 dips were measured in the field and 433 dips were extracted from the interpretation of virtual outcrops.
DOI: 10.15468/dl.edbagj
title: Occurrence Download

description: A dataset containing 32765 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((118.15853 30.85863,119.79696 30.85863,119.79696 32.88559,118.15853 32.88559,118.15853 30.85863))"
 ]
}

 The dataset includes 32765 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036554-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sye5pr
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "Geometry POLYGON((6.79925 7.03545,122.33597 7.03545,122.33597 53.20816,6.79925 53.20816,6.79925 7.03545))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhipicephalus microplus Canestrini, 1888"
 ]
}

 The dataset includes 63 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036555-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20350/digitalcsic/14816
title: BrainGut_WineUp daily lifelike images [Dataset]

description: The photographs of glasses containing wine were acquired by researchers with different smartphones equipped with high-resolution cameras (12 or 48 MP). Photographs were previously designed considering usual photographic parameters (see DATA-SPECIFIC INFORMATION for details).-- The data have not been processed.
description: The DATASET compiles 1.945 files corresponding to individual images of glasses containing red wine. The photographs of glasses containing wine were acquired by researchers with different smartphones equipped with high-resolution cameras (12 or 48 MP). Photographs were previously designed considering usual photographic parameters. Each file name is unique and contains information of the parameters under which the photograph was taken.
description: The DATASET compiles 1.945 files corresponding to individual images of glasses containing red wine. Each file name is unique and contains information of the parameters under which the photograph was taken (see DATA-SPECIFIC INFOR-MATION for details). For example: The file Rea_Rio_C_Bor_175_nd_nd_fr10_nd_nd_ar2 corresponds to an almost real image (Rea), taken in La Rioja (Rio), of a “crianza wine”(C), in a Bourgogne wine glass (Bor), with a volume of 175 mL (175), taken at none defined time (nd) and undefined lighting (nd), with a real back-ground (fr10) and without reference (nd) nor distance (nd) considerations, and upper angle (ar2).
DOI: 10.20350/digitalcsic/14817
title: BrainGut_WineUp real images [Dataset]

description: The photographs of glasses containing wine were acquired by wine consumers with different smartphones equipped with high-resolution cameras (12 or 48 MP). Photographs were previously designed considering usual photographic parameters (see DATA-SPECIFIC INFORMATION for details).-- The data have not been processed.
description: The DATASET compiles 229 files corresponding to individual images of glasses containing red wine. The photographs of glasses containing wine were acquired by wine consumers with different smartphones equipped with high-resolution cameras (12 or 48 MP). Each file name is unique and contains information of the parameters under which the photo-graph was taken.
description: The DATASET compiles 229 files corresponding to individual images of glasses containing red wine. Each file name is unique and contains information of the parameters under which the photograph was taken (see DATA-SPECIFIC INFOR-MATION for details). For example: The file Vol_Mad_C_Bor_175_Cena_nd_nd_nd_nd_nd corresponds to a real image taken by a consumer(#Vol), taken in Madrid (Mad), of a “crianza wine”(C), in a Bourgogne wine glass (Bor), with a volume of 175 mL (175), taken at dinner (Cena) with undefined lighting (nd) and a random real background (nd), and without reference (nd) nor distance (nd), nor angle (nd) considerations.
DOI: 10.20350/digitalcsic/14813
title: [Dataset] Global physics-based database of injection-induced seismicity

description: The database and its accompanying files are as follows: GEoREST_database_Readme (.txt): provides an overview of the database goals and content, sharing/accessing information and methodologies used to develop the database. GEoREST_induced_seismicity_database_v20.11.2022 (.xlsx): database in a single Microsoft Excel spreadsheet. GEoREST_induced_seismicity_database_v20.11.2022 (.csv): database in ‎.csv format, considered as a standard machine-readable format for direct implementation of data in model developments. GEoREST_database_bibliography_v20.11.2022 (.docx): provides the full list of references used to collect data included in the database. GEoREST_database_dictionary_v20.11.2022 (.docx): presents unified, self-explanatory acronyms together with concise definitions for all variables included in the database.
description: We present a comprehensive, publicly accessible database of injection-induced seismicity. The database is sourced from a comprehensive review of more than 500 published documents and contains information for 158 cases of induced earthquakes from around the world. The collected earthquakes are associated with a variety of geoenergy applications, which can be broadly categorized into geologic gas storage, geothermal energy development, shale gas fracturing, research projects and wastewater disposal. The compilation comprises more than 70 variables, including general project information, host rock properties, ‎in situ site characteristics, fault attributes, operational parameters, and recorded seismicity data (both overall seismic activities and the largest event sequence). The developed database opens up opportunities for improved understanding of the causative mechanisms of injection-induced seismicity and advancing on seismic hazard forecasting and mitigation.
DOI: 10.20350/digitalcsic/14812
title: Disparate behavioral types in wild and reared juveniles of gilthead seabream

description: [Methods used for collection/generation of data] Standardized behavioral tests with continuous recording was provided by a camera attached to each arena controlled by a Raspberry Pi 3 system. All the behavioral tests were analyzed using a trained deep learning algorithm.
description: [Methods for processing the data] Deep learning algorithm and R-Studio.
description: The tests started with wild individuals on March 11th, 2019 and ended on April 23rd, 2019. Reared individuals were tested starting on July 19th, 2019 and ending on August 22nd, 2019.
DOI: 10.20350/digitalcsic/14800
title: Pelobates varaldii
DOI: 10.20350/digitalcsic/14795
title: Egg size Audouin's gulls 1992-2021
title: Dataset on Audouin's gull egg sieze with indexes of food 1992-2021

description: [EN] Egg size data for breeding Audouin's Gulls in the Ebro Delta during 1992-2021, with details on the age of the adults and clutch size.
description: [ES] Datos de tamaño de huevo para la gaviota de Audouin nidificante en el Delta del Ebro durante 1992-2021, con detalles sobre la edad de los reproductores y tamaño de puesta.
DOI: 10.20350/digitalcsic/14792
title: Composition of mammal assemblages and multi-scale environmental variables in the Guadiamar basin

description: Monitoring of 13 species at six-month intervals during two years in order to describe spatial variation in the composition of the mammal assemblage. The dataset includes species occurrence in 400-ha sampling plots, measurements of vegetation cover at the microhabitat scale, proxies of human disturbance, and aggregate indices of land use composition in the landscape within and around sampling plots.
description: The dataset was used for analyzing the relative effect of spatial, environmental, and biotic factors on community assembly
description: Mammals_Guadiamar_basin.xlsx (Microsoft Excel spreadsheet)
DOI: 10.20350/digitalcsic/14775
title: Abundance and Distribution of roller dung beetles (Scarabaeinae) in Doñana 2004-2012

description: Dataset are structured following well-established data formats. Two files are provided. The first file (icts-rbd-dungBe_event_20221107) contains the information of each event (time of occurrence, geographical coordinates, habitat, sampling effort, etc…); the second file (icts-rbd-dungBe_occ_20221107) contains the information of the occurrences of dung-beetles species recorded in each site, numbers of individual recorded and taxonomic classification.
description: The monitoring of the roller dung-beetles (Scarabaeinidae) in Doñana, southwestern Spain, was initiated in 2004 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 and distribution of two species (Scarabeus sacer and S. cicatricosus) present in the area. Data were recorded annually from 2004 to 2012 by members of the monitoring team which performed one sampling (between May and August) in different habitats (sand dunes, mediterranean schrublands, flooplain meadows, and marshlands). Dung-baited pitfalls traps were used as a method to obtain samples of individuals of the two species. These traps were plastic cilinder of 30 cm diameter x 20 cm high buried on the ground. A baited grill of 2cm x 2 cm mesh rested on top of the trap. Bait was fresh horse or cow feaces (250 g) collected around the area early in the morning the day before of trapping. Five pitfall traps were established at each site separated 15 m each other during 24 hours. Two checking were conducted every 12 hours after baiting to avoid the mortality of individuals. Individual of each species were counted and release after it. Data recorded during the surveys included species identification and number of individuals. Between 2004-2008 data was registered in Excel file and since 2008 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.
description: 1.icts-rbd-dungBeetles_event_20221107: intitutionCode, institutionID, datasetName, eventID, eventDate, eventTime, continent, country, countryCode, stateProvince, locality, decimalLatitude, decimalLongitude, habitat, eventRemarks, sampleSizeValue, sampleSizeUnit, sampleEffort, dynamicPropertiesEvents, recordyBy and scientificName 2.icts-rbd-dungBeetles_occ_20221107: eventID, OccurrenceID, basisOfRecords, individualCount, kingdom, class, family, scientificName, genus, specificEpithet and scientificNameAuthorship.
DOI: 10.20350/digitalcsic/14771
title: data_mCoM_red_alpha; data_mCoM_red_beta; data_mCoM_red_gamma [Dataset] of Understanding life at high temperatures. Relationships of molecular channels in enzymes of methanogenic Archaea and their growth temperatures

description: Los datos de estos tres excels 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
description: Figure 2. 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 numerous methanogenic Archaea as a function of their optimum growth rates. Dark color filled symbols correspond to predicted protein structures. Light color filled symbols correspond to resolved model structures from the Protein Data Bank.
DOI: 10.20350/digitalcsic/14769
title: 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

description: 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
description: 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 (&lt;50ºC; 50-80ºC; &gt;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 (&lt;50ºC; 50-80ºC; &gt;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.
DOI: 10.20350/digitalcsic/14770
title: data_Hdr_A ; data_Hdr_B; data_Hdr_C [Dataset] of Understanding life at high temperatures. Relationships of molecular channels in enzymes of methanogenic Archaea and their growth temperatures

description: Los datos de estos tres excels 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
description: Figure 3. Molecular tunnel dimensions, length (A, D, G), surface (B, E, H) and volume (C, F, I)(in Å), predicted for the heterodisulfide reductase (Hdr) gene subunits, A (A, B, C), B (D, E, F) and C (G, H, I), from numerous methanogenic Archaea as a function of their optimum growth rates. Dark color filled symbols correspond to predicted protein structures; Light color filled symbols correspond to resolved model structures from the Protein Data Bank.
DOI: 10.20350/digitalcsic/14768
title: [Dataset] Influence of shallow geothermal energy on the behaviour of organic contaminants of emerging concern in urban aquifers

description: Urban aquifers are a valuable resource of freshwater for cities, however, their quality is degraded due to the presence of organic contaminants of emerging concern (CECs). The effects of organic CECs are largely unknown, but there is evidence that they pose a risk for human health, soil, plants and animals. Organic CECs are naturally degraded in aquifers and their degradation rates depend on the physico-chemical properties, i.e., redox conditions and groundwater temperature. Some anthropogenic activities, like low-enthalpy geothermal energy (LEGE), may modify subsurface physico-chemical conditions altering the behaviour of organic CECs. LEGE is a renewable and carbon-free energy that allows obtaining cooling and heating energy. The utilization of LEGE is currently growing and it is expected that in a near future the density of LEGE systems will increase. LEGE modifies the groundwater temperature and in some situations the redox state (i.e., if the dissolved oxygen increases when groundwater is returned to the aquifer as a result of a poorly design), thus, it is of paramount importance to determine the impact of LEGE related activities on the behaviour of organic CECs. The behaviour of organic CECs under the influence of LEGE is investigated by means of thermo-hydro-chemical numerical modelling. Simulation output shows that LEGE activities have the potential to modify the degradation rates of organic CECs, and thus, their concentrations in aquifers. In the simulated scenario, the concentration of the chosen CEC decreases by the 77 % at the downgradient boundary of the model. The results of this study have significant implications for predicting the behaviour of organic CECs in urban aquifers and suggest specific changes in the design of LEGE facilities aiming to improve the quality of urban groundwater by boosting in-situ attenuation mechanisms.
DOI: 10.20350/digitalcsic/14764
title: Stems and roots growth and resilience index of Juniperus thurifera L. in two stages of forest expansion gradient

description: These datasets correspond to the manuscript "Increased recovery in coarse-root secondary growth improves resilience to drought in transition forests", published in Journal of Ecology. More detailed information about data collection and characteristics can be found in this manuscript