cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.hrdp9e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bacidia verecundula)",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025122-260208012135463/datasets/export for details.
DOI: 10.22008/fk2/iw73uu/qjxodz
title: SCO_L_day.csv

description: Uploaded with pyDataverse 2025-11-27 13:30
DOI: 10.22008/fk2/iw73uu/q2xefs
title: SCO_L_hour.csv

description: Uploaded with pyDataverse 2025-11-27 13:30
DOI: 10.22008/fk2/iw73uu/ud8hj0
title: SCO_L_month.csv

description: Uploaded with pyDataverse 2025-11-27 13:30
DOI: 10.22008/fk2/iw73uu/lvme85
title: SCO_L_day.nc

description: Uploaded with pyDataverse 2025-11-27 13:31
DOI: 10.22008/fk2/iw73uu/hi3y9z
title: variables.csv

description: Uploaded with pyDataverse 2025-11-27 13:31
DOI: 10.7929/issda/1jvv0l
title: Census of Population - Small Area Population Statistics (SAPS), 1996

description: A Census of Population was taken on the night of Sunday, 28 April 1996, in accordance with the Statistics (Census of Population) Order, 1996 (S.I. No. 91 of 1996). Census data is collected every 5 years. The Small Area Population Statistics (SAPS) datasets break the national Census data down by various geographic levels - (i) District Electoral Divisions and Urban and Rural Districts of each county; (ii) Wards of the County Boroughs of Dublin, Cork, Limerick, Waterford and Galway; (iii) Towns with legally defined boundaries; (iv) Towns of 1,000 population and over (including suburbs or environs, if any); (v) The total suburbs or environs, if any, of each city or town; (vi) Where a town of 1,000 population and over is situated in more than one county, separate data will be available for the part in each county; (vii) Aggregate Town and Aggregate Rural Areas for each County and for the State (viii) Counties, County Boroughs and Municipal Boroughs; (ix) Regional Authority Areas; (x) Health Board Areas; (xi) The Gaeltacht Area of each County; (xii) The total Gaeltacht Area of the Country; (xiii) County and Borough Electoral Areas; (xiv) Constituencies.
DOI: 10.15468/dl.gu3cqz
title: Occurrence Download

description: A dataset listing the 1504 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((1.77875 43.41299,1.77875 43.41477,1.77666 43.41655,1.77121 43.41634,1.76462 43.41791,1.75594 43.41676,1.74955 43.41299,1.74129 43.40451,1.73291 43.39708,1.72705 43.38871,1.72475 43.38494,1.73176 43.38149,1.73752 43.37856,1.74139 43.37636,1.74704 43.37437,1.75133 43.37239,1.75426 43.37082,1.75322 43.36307,1.74662 43.35805,1.74359 43.35491,1.74851 43.35083,1.75565 43.34636,1.7658 43.34071,1.77187 43.33736,1.77721 43.33474,1.77784 43.33977,1.78066 43.34301,1.78527 43.34521,1.78977 43.34259,1.79176 43.34196,1.79992 43.34322,1.80494 43.3428,1.80955 43.3451,1.81352 43.34908,1.8129 43.35211,1.80484 43.35766,1.80034 43.36007,1.79814 43.36446,1.80013 43.36718,1.80452 43.36907,1.80923 43.37189,1.81216 43.37378,1.81384 43.37629,1.81468 43.37859,1.82347 43.37796,1.82462 43.38183,1.83163 43.38414,1.83404 43.38633,1.83058 43.38853,1.8264 43.38916,1.82326 43.38456,1.81511 43.38504,1.80871 43.38778,1.80246 43.39186,1.79476 43.3949,1.79002 43.39857,1.78536 43.40398,1.78095 43.40664,1.7787 43.41005,1.77875 43.41299))",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset's 1504 records were derived from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024509-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18487566
title: INTELLIMAN_WP5_Grasping, Manipulation and Arm-Hand Coordination_T5.4_Experience- and model-based Grasp Synthesis and Manipulation_BEAWARE_Data

description: This repository contains the knowledge-based resources supporting the BeAware Framework for adaptive behavior trees in robotic systems.
DOI: 10.5281/zenodo.18496154
title: INTELLIMAN_WP5_Grasping, Manipulation and Arm-Hand Coordination_T5.4_Experience- and model-based Grasp Synthesis and Manipulation_BEAWARE_Data

description: This repository contains the knowledge-based resources supporting the BeAware Framework for adaptive behavior trees in robotic systems.
DOI: 10.15468/dl.fnsf7k
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Rhinopithecus A.Milne-Edwards, 1872"
 ]
}

 The dataset includes 110 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007497-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ud4yuh
title: Occurrence Download

description: A dataset containing 8172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dulichium arundinaceum, Dulichium arundinaceum)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8172 records from 183 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018414-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.actbfw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tinamiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-90 -90,-80 -90,-80 -80,-90 -80,-90 -90))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018416-251009101135966/datasets/export for details.
DOI: 10.15468/dl.28qtfn
title: Occurrence Download

description: A dataset containing 165338 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Zaphne barbiventris, Xestia okakensis, Tipula bergrothiana, Tanytarsus gracilentus, Tanytarsus anderseni, Stegopterna emergens, Spilogona zaitzevi, Spilogona tundrae, Spilogona tornensis, Spilogona megastoma, Spilogona malaisei, Spilogona dorsata, Somatochlora sahlbergi, Simulium baffinense, Scatopsciara geophila, Scathophaga apicalis, Rhamphomyia shewelli, Rhamphomyia nigrita, Rhamphomyia leptidiformis, Pterostichus vermiculosus, Pterostichus ventricosus, Pterostichus sublaevis, Pterostichus nivalis, Pterostichus kokeilii, Pterostichus brevicornis, Psectrocladius fennicus, Protophormia atriceps, Prosimulium ursinum, Procladius dentus, Polia richardsoni, Platycheirus groenlandicus, Phaonia pallidisquama, Peromyscopsylla ostsibirica, Paratanytarsus setosimanus, Parakiefferiella scandica, Orthocladius olivaceus, Orthocladius decoratus, Olophrum latum, Oeneis polixenes, Oeneis melissa, Oeneis bore, Oeneis alpina, Notiophilus borealis, Neoleria prominens, Nebria nivalis, Micropsectra insignilobus, Metriocnemus ursinus, Metriocnemus brusti, Lycoriella flavipeda, Limnophyes pumilio, Limnophyes ninae, Limnophyes brachytomus, Lepidophorus lineaticollis, Hypoderma tarandi, Hydrobaenus conformis, Hippodamia arctica, Helophorus splendidus, Helophilus lapponicus, Helina fulvisquama, Heleodromia pullata, Gynaephora rossii, Grensia praeterita, Grapholita aureolana, Exechia frigida, Eutrichota tunicata, Erebia occulta, Erebia fasciata, Erebia disa, Entephria bradorata, Drymeia quadrisetosa, Dolichopus humilis, Diamesa arctica, Diacheila polita, Diacheila arctica, Cricotopus tibialis, Cricotopus patens, Cricotopus obnixus, Corynoneura arctica, Colymbetes dolabratus, Colias palaeno chippewa, Colias nastes, Colias hecla, Coenosia tarsata, Coenosia octopunctata, Cnephia eremites, Clossiana polaris, Clossiana improba, Chironomus hyperboreus, Chiloxanthus stellatus, Chaetocladius holmgreni, Catoptria trichostomus, Carabus vietinghoffii, Carabus truncaticollis, Carabus kantaikensis, Camptochaeta delicata, Camptochaeta consimilis, Boreostiba sibirica, Bombus polaris, Bombus natvigi, Bombus hyperboreus, Boloria polaris, Boloria improba, Boloria chariclea butleri, Boloria alaskensis, Bembidion lapponicum, Baetis hudsonicus, Argyroploce aquilonana, Arctopelopia melanosoma, Arctia subnebulosa, Arctia opulenta, Arctia lapponica, Arctia alpina, Apantesis quenseli, Amphipsylla marikovskii, Amara alpina, Aeshna septentrionalis, Aeropedellus arcticus, Aedes nigripes, Aedes impiger, Aedes hexodontus, Acsala anomala)"
 ]
}

 The dataset includes 165338 records from 361 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007429-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m9h4c5
title: Occurrence Download

description: A dataset containing 967 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Epilobium brachycarpum",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 967 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007475-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ehwft
title: Occurrence Download

description: A dataset containing 27128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Sloanea"
 ]
}

 The dataset includes 27128 records from 544 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007473-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18760062
title: THE IMPORTANCE OF CREATING A POSITIVE PSYCHOLOGICAL ENVIRONMENT IN SPORTS TRAINING

description: This article provides a comprehensive scientific analysis of the impact of creating a positive psychological environment in the sports training process on athletes’ physical preparedness, psychological stability, and social adaptation. The study substantiates the close relationship between the psychological environment and athletes’ motivation, emotional state, self-confidence, stress tolerance, team relationships, and the effectiveness of competitive performance. The results of the analysis of scientific and methodological literature and pedagogical observations indicate that creating a favorable psychological environment during sports training is one of the key factors ensuring stable improvement in sports performance.
DOI: 10.5281/zenodo.18760061
title: THE IMPORTANCE OF CREATING A POSITIVE PSYCHOLOGICAL ENVIRONMENT IN SPORTS TRAINING

description: This article provides a comprehensive scientific analysis of the impact of creating a positive psychological environment in the sports training process on athletes’ physical preparedness, psychological stability, and social adaptation. The study substantiates the close relationship between the psychological environment and athletes’ motivation, emotional state, self-confidence, stress tolerance, team relationships, and the effectiveness of competitive performance. The results of the analysis of scientific and methodological literature and pedagogical observations indicate that creating a favorable psychological environment during sports training is one of the key factors ensuring stable improvement in sports performance.
DOI: 10.15482/usda.adc/25632270
title: North American Project to Evaluate Soil Health Measurements Dataset

description: These data were collected as part of the Assessing and Expanding Soil Health for Production, Economic, & Environmental Benefits grant to the Soil Health Institute. Because the primary objective was to evaluate, identify, and recommend effective widely-applicable measurements for evaluating soil health across North America, the project is often referenced as the North American Project to Evaluate Soil Health Measurements. The data available are a compilation of data collected and curated by Soil Health Institute from 94 long-term agricultural research sites across the United States and Mexico. Metadata includes location (lat/long) for each site, name, year it became a research site, 10-year summary weather variables based on the Daymet daily surface weather data set, year each treatment began, the categorical management attributes and detailed management data, and other metadata. 508 treatments are represented. Data is provided for 1453 experimental units (plots) that were sampled. 110 analyses (data columns) are reported for each experimental unit. Five more data columns are provided on nutrient analytes (ammonium acetate extraction, DTPA extraction, Olsen P) that were performed conditional on pH. Phospholipid Fatty Acid (PLFA) reports are provided on 109 biomarkers.
The NAPESHM project is part of a broader effort titled, “Assessing and Expanding Soil Health for Production, Economic, and Environmental Benefits”. The project is funded by the Foundation for Food and Agricultural Research (grant ID 523926), General Mills, and The Samuel Roberts Noble Foundation.
DOI: 10.15482/usda.adc/25632270.v1
title: North American Project to Evaluate Soil Health Measurements Dataset

description: These data were collected as part of the Assessing and Expanding Soil Health for Production, Economic, & Environmental Benefits grant to the Soil Health Institute. Because the primary objective was to evaluate, identify, and recommend effective widely-applicable measurements for evaluating soil health across North America, the project is often referenced as the North American Project to Evaluate Soil Health Measurements. The data available are a compilation of data collected and curated by Soil Health Institute from 94 long-term agricultural research sites across the United States and Mexico. Metadata includes location (lat/long) for each site, name, year it became a research site, 10-year summary weather variables based on the Daymet daily surface weather data set, year each treatment began, the categorical management attributes and detailed management data, and other metadata. 508 treatments are represented. Data is provided for 1453 experimental units (plots) that were sampled. 110 analyses (data columns) are reported for each experimental unit. Five more data columns are provided on nutrient analytes (ammonium acetate extraction, DTPA extraction, Olsen P) that were performed conditional on pH. Phospholipid Fatty Acid (PLFA) reports are provided on 109 biomarkers.
The NAPESHM project is part of a broader effort titled, “Assessing and Expanding Soil Health for Production, Economic, and Environmental Benefits”. The project is funded by the Foundation for Food and Agricultural Research (grant ID 523926), General Mills, and The Samuel Roberts Noble Foundation.
DOI: 10.5281/zenodo.18760054
title: Calculating animal distribution evenness metrics from GNSS tracking data.

description: This dataset includes data from GNSS tracking data from 39 adult limousine cows (.csv file) from a dehesa farm in Pedroche, Cordoba (Spain). GNSS fixations were collected at 30-minute intervals using commercial tracking devices (Digitanimal Ltd., Madrid, Spain). Besides the tracking data, a descriptive table of individual cows (.csv file) is also available. The perimeters of the farm are available in a vectorial spatial layer (.shp).

 

The objective of this dataset is provide a reproducible example dataset for the methodology described by Maroto-Molina et al. (2023). A commented R script (.html) describing the methodology is also included in this dataset.
DOI: 10.5281/zenodo.17338609
title: Calculating animal distribution evenness metrics from GNSS tracking data.

description: This dataset includes data from GNSS tracking data from 39 adult limousine cows (.csv file) from a dehesa farm in Pedroche, Cordoba (Spain). GNSS fixations were collected at 30-minute intervals using commercial tracking devices (Digitanimal Ltd., Madrid, Spain). Besides the tracking data, a descriptive table of individual cows (.csv file) is also available. The perimeters of the farm are available in a vectorial spatial layer (.shp).

 

The objective of this dataset is provide a reproducible example dataset for the methodology described by Maroto-Molina et al. (2023). A commented R script (.html) describing the methodology is also included in this dataset.
DOI: 10.5281/zenodo.18722086
title: Registered Vehicles by Type - Victoria, Australia, 2016-2025

description: This data set summarises numbers of motor vehicles by type for 2016 and 2020-2025. The data is sourced from the Australian Bureau of Statistics (ABS) for 2016, 2020 and 2021 (https://www.abs.gov.au/statistics/industry/tourism-and-transport/motor-vehicle-census-australia/latest-release), and from the Bureau of Infrastructure and Transport Research Economics (BITRE) for 2022 (https://www.bitre.gov.au/publications/2024/road-vehicles-australia-january-2022-re-issue) and for 2023-2025 (https://www.bitre.gov.au/publications/2025/road-vehicles-australia-january-2025). For each source, data for the State of Victoria was used. The dataset comprises three tables: ABS data, BITRE data, and a Summary table combining the data from both sources. The ABS and BITRE tables include notes on the categorisation of the vehicles and how the data from the two sources has been combined.

This data is very high-level and does not categorise vehicles beyond very basic types. For example, "passenger cars" includes sedans, SUVs and minivans (https://www.abs.gov.au/methodologies/motor-vehicle-census-australia-methodology/31-jan-2021#glossary).
DOI: 10.5281/zenodo.18722085
title: Registered Vehicles by Type - Victoria, Australia, 2016-2025

description: This data set summarises numbers of motor vehicles by type for 2016 and 2020-2025. The data is sourced from the Australian Bureau of Statistics (ABS) for 2016, 2020 and 2021 (https://www.abs.gov.au/statistics/industry/tourism-and-transport/motor-vehicle-census-australia/latest-release), and from the Bureau of Infrastructure and Transport Research Economics (BITRE) for 2022 (https://www.bitre.gov.au/publications/2024/road-vehicles-australia-january-2022-re-issue) and for 2023-2025 (https://www.bitre.gov.au/publications/2025/road-vehicles-australia-january-2025). For each source, data for the State of Victoria was used. The dataset comprises three tables: ABS data, BITRE data, and a Summary table combining the data from both sources. The ABS and BITRE tables include notes on the categorisation of the vehicles and how the data from the two sources has been combined.

This data is very high-level and does not categorise vehicles beyond very basic types. For example, "passenger cars" includes sedans, SUVs and minivans (https://www.abs.gov.au/methodologies/motor-vehicle-census-australia-methodology/31-jan-2021#glossary).
DOI: 10.15468/dl.hgeuvc
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Myotis muricola",
 "Year 2001-2026"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007478-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18716641
title: Coarse-grained fields from DNS of stably buoyancy-stratified ABL

description: Each NetCDF contains data dervied from one direct numerical simulation (DNS) of 3 with varying Reynolds number flow in the stably buoyancy-stratified atmospheric boundary layer (ABL) coarse-grained to one of 3 varied resolutions. The file naming conventions are coarse{ FGR }x{ (H)H }{ (V)VV }_Re{ Re_laminar } where FGR is the filter-to-grid ratio (here, always 4), (H)H is the one or two digit number of DNS points per coarsened horizontal grid spacing, (V)VV is the two or three digit number of DNS points per coarsened vertical grid spacing, and Re_laminar is the Reynolds number based on the laminar Ekman layer depth.

 

The DNS variables are destaggered before the centered variables are coarsened with a box filter. The scripts used to coarse-grain the original DNS data can be seen at github.com/adconnolly/CNDLLES.
DOI: 10.5281/zenodo.18716640
title: Coarse-grained fields from DNS of stably buoyancy-stratified ABL

description: Each NetCDF contains data dervied from one direct numerical simulation (DNS) of 3 with varying Reynolds number flow in the stably buoyancy-stratified atmospheric boundary layer (ABL) coarse-grained to one of 3 varied resolutions. The file naming conventions are coarse{ FGR }x{ (H)H }{ (V)VV }_Re{ Re_laminar } where FGR is the filter-to-grid ratio (here, always 4), (H)H is the one or two digit number of DNS points per coarsened horizontal grid spacing, (V)VV is the two or three digit number of DNS points per coarsened vertical grid spacing, and Re_laminar is the Reynolds number based on the laminar Ekman layer depth.

 

The DNS variables are destaggered before the centered variables are coarsened with a box filter. The scripts used to coarse-grain the original DNS data can be seen at github.com/adconnolly/CNDLLES.
DOI: 10.34740/kaggle/dsv/14947415
title: Global Scholarship Opportunities Dataset
DOI: 10.15468/dl.37auv6
title: Occurrence Download

description: A dataset containing 153346 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melanerpes rubricapillus",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 153346 records from 382 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007421-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30687179
title: Supplemental Data for “Ovarian Insulin Signaling Is Intact Despite Systemic Insulin-Resistance in Androgen-Induced Polycystic Ovary Syndrome”

description: Supplemental data for "Ovarian Insulin Signaling Is Intact Despite Systemic Insulin Resistance in a Mouse Model of Polycystic Ovary Syndrome"
DOI: 10.6084/m9.figshare.30687179.v3
title: Supplemental Data for “Ovarian Insulin Signaling Is Intact Despite Systemic Insulin-Resistance in Androgen-Induced Polycystic Ovary Syndrome”

description: Supplemental data for "Ovarian Insulin Signaling Is Intact Despite Systemic Insulin Resistance in a Mouse Model of Polycystic Ovary Syndrome"
DOI: 10.6084/m9.figshare.30687179.v2
title: Supplemental Data for “Ovarian Insulin Signaling Is Intact Despite Systemic Insulin-Resistance in Androgen-Induced Polycystic Ovary Syndrome”

description: Supplemental data for "Ovarian Insulin Signaling Is Intact Despite Systemic Insulin Resistance in a Mouse Model of Polycystic Ovary Syndrome"