cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.atf4px
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((73.725736 22.673171, 73.649629 22.667594, 73.57541399999999 22.651003, 73.504935 22.623809, 73.439939 22.586688, 73.382035 22.540562, 73.332652 22.486574, 73.293002 22.426062, 73.264054 22.360523, 73.246506 22.291577, 73.240776 22.220925, 73.24698600000001 22.150308, 73.264966 22.081463, 73.294258 22.016081, 73.334129 21.955767, 73.383588 21.901999, 73.44141500000001 21.856092, 73.506191 21.819169, 73.57632700000001 21.792133, 73.650109 21.775642, 73.725736 21.7701, 73.80136299999999 21.775642, 73.875145 21.792133, 73.94528099999999 21.819169, 74.010057 21.856092, 74.06788400000001 21.901999, 74.11734300000001 21.955767, 74.157214 22.016081, 74.18650599999999 22.081463, 74.204486 22.150308, 74.210696 22.220925, 74.204966 22.291577, 74.18741799999999 22.360523, 74.15846999999999 22.426062, 74.11882 22.486574, 74.06943699999999 22.540562, 74.011533 22.586688, 73.94653700000001 22.623809, 73.876058 22.651003, 73.80184300000001 22.667594, 73.725736 22.673171))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 51 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000404-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18193379
title: How Auditor Collaboration Networks Shape ESG Greenwashing:  Evidence of Industry Expert Knowledge Spillovers in China
DOI: 10.5281/zenodo.18193378
title: How Auditor Collaboration Networks Shape ESG Greenwashing:  Evidence of Industry Expert Knowledge Spillovers in China
DOI: 10.15468/dl.phy6gm
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((73.739924 22.651739, 73.66382900000001 22.646162, 73.589626 22.629571, 73.51915700000001 22.602377, 73.454171 22.565256, 73.396276 22.51913, 73.346901 22.465142, 73.30725700000001 22.40463, 73.278312 22.339091, 73.260767 22.270145, 73.255038 22.199493, 73.261246 22.128876, 73.279224 22.06003, 73.308511 21.994648, 73.348375 21.934334, 73.39782700000001 21.880566, 73.455646 21.834659, 73.520411 21.797735, 73.590537 21.770699, 73.66430800000001 21.754208, 73.739924 21.748666, 73.81554 21.754208, 73.88931100000001 21.770699, 73.95943699999999 21.797735, 74.024202 21.834659, 74.082021 21.880566, 74.131473 21.934334, 74.17133699999999 21.994648, 74.200624 22.06003, 74.218602 22.128876, 74.22481000000001 22.199493, 74.219081 22.270145, 74.201536 22.339091, 74.172591 22.40463, 74.132947 22.465142, 74.083572 22.51913, 74.025677 22.565256, 73.960691 22.602377, 73.89022199999999 22.629571, 73.816019 22.646162, 73.739924 22.651739))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 51 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000406-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18191526
title: Land Use Intensity Drives the Evolution of Ecosystem Structure-Function-Service Networks in the Yangtze River Basin
DOI: 10.5281/zenodo.18191527
title: Land Use Intensity Drives the Evolution of Ecosystem Structure-Function-Service Networks in the Yangtze River Basin
DOI: 10.15468/dl.yppbsm
title: Occurrence Download

description: A dataset containing 1705 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is French Polynesia",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scolopacidae",
 "Year 2002-2025"
 ]
}

 The dataset includes 1705 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000409-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xy7kf3
title: Occurrence Download

description: A dataset containing 8371 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is French Guiana",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scolopacidae",
 "Year 2002-2025"
 ]
}

 The dataset includes 8371 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000408-260108223611665/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.30440654
title: Data and scripts supporting Dang et al. (2026). "Climate-induced hydrological changes and agricultural implications in the Laurentian Great Lakes region"

description: Data and relevant code used to produce graphic in the manuscript. Due to size limit, data for Figure 7 will be made available upon request.
DOI: 10.6084/m9.figshare.30440654.v1
title: Data and scripts supporting Dang et al. (2026). "Climate-induced hydrological changes and agricultural implications in the Laurentian Great Lakes region"

description: Data and relevant code used to produce graphic in the manuscript. Due to size limit, data for Figure 7 will be made available upon request.
DOI: 10.5281/zenodo.18193334
title: Metabolomic Response to CHO Restriction vs LEA - Supplementary Files

description: Periods of low energy availability (LEA) are common in elite athletes and typically arise from reduced energy intake, often involving some degree of carbohydrate (CHO) restriction. Whether the metabolic profile created by energy restriction per se is distinct compared to that driven by CHO restriction is unknown. Using untargeted metabolomics, we examined metabolic perturbations linked to CHO restriction and energy restriction in plasma from elite male endurance athletes. In a semi-randomized controlled trial, athletes (n=20) completed one of three 5-day dietary interventions: high energy-high CHO (HCHO); LEA (energy-restricted, CHO-reduced); or low-CHO, high-fat (LCHF; energy-matched, CHO-restricted). Plasma samples were taken at multiple timepoints pre- and post a standardized 25 km race walk protocol. Metabolomic analysis was performed using liquid chromatography–mass spectrometry (LC–MS), with multivariate analysis conducted using RM-ASCA+ and hierarchical clustering. A total of 5,391 metabolic features were detected and 138 metabolites annotated. LCHF induced substantial metabolic perturbations, especially after prolonged exercise, including elevations in fatty acyls, hydroxy acids, dicarboxylic acids and acylcarnitine intermediates, responses not seen under LEA. We conclude that CHO restriction concomitant with a high-fat load induces a greater metabolic perturbation in selected lipid-based metabolites than short-term LEA exposure in elite athletes undergoing prolonged endurance exercise. Attached here are the supplementary files related to this project including the final data matrix as well as the bootstrap interations and confidence intervals.
DOI: 10.5281/zenodo.17090349
title: Metabolomic Response to CHO Restriction vs LEA - Supplementary Files

description: Periods of low energy availability (LEA) are common in elite athletes and typically arise from reduced energy intake, often involving some degree of carbohydrate (CHO) restriction. Whether the metabolic profile created by energy restriction per se is distinct compared to that driven by CHO restriction is unknown. Using untargeted metabolomics, we examined metabolic perturbations linked to CHO restriction and energy restriction in plasma from elite male endurance athletes. In a semi-randomized controlled trial, athletes (n=20) completed one of three 5-day dietary interventions: high energy-high CHO (HCHO); LEA (energy-restricted, CHO-reduced); or low-CHO, high-fat (LCHF; energy-matched, CHO-restricted). Plasma samples were taken at multiple timepoints pre- and post a standardized 25 km race walk protocol. Metabolomic analysis was performed using liquid chromatography–mass spectrometry (LC–MS), with multivariate analysis conducted using RM-ASCA+ and hierarchical clustering. A total of 5,391 metabolic features were detected and 138 metabolites annotated. LCHF induced substantial metabolic perturbations, especially after prolonged exercise, including elevations in fatty acyls, hydroxy acids, dicarboxylic acids and acylcarnitine intermediates, responses not seen under LEA. We conclude that CHO restriction concomitant with a high-fat load induces a greater metabolic perturbation in selected lipid-based metabolites than short-term LEA exposure in elite athletes undergoing prolonged endurance exercise. Attached here are the supplementary files related to this project including the final data matrix as well as the bootstrap interations and confidence intervals.
DOI: 10.15468/dl.7429nd
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((73.79418800000001 22.637682, 73.718101 22.632105, 73.643905 22.615514, 73.573443 22.58832, 73.508464 22.551199, 73.450575 22.505073, 73.40120400000001 22.451085, 73.361564 22.390573, 73.332623 22.325034, 73.315079 22.256088, 73.30934999999999 22.185436, 73.315558 22.114818, 73.333533 22.045972, 73.362818 21.98059, 73.40267799999999 21.920276, 73.452124 21.866507, 73.50993800000001 21.8206, 73.574697 21.783677, 73.64481499999999 21.75664, 73.71857900000001 21.740149, 73.79418800000001 21.734607, 73.86979700000001 21.740149, 73.943561 21.75664, 74.013679 21.783677, 74.07843800000001 21.8206, 74.136252 21.866507, 74.185698 21.920276, 74.22555800000001 21.98059, 74.25484299999999 22.045972, 74.272818 22.114818, 74.279026 22.185436, 74.273297 22.256088, 74.255753 22.325034, 74.226812 22.390573, 74.187172 22.451085, 74.137801 22.505073, 74.07991199999999 22.551199, 74.014933 22.58832, 73.94447099999999 22.615514, 73.87027500000001 22.632105, 73.79418800000001 22.637682))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 46 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000411-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.afa32m
title: Occurrence Download

description: A dataset containing 1292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Gabon",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scolopacidae",
 "Year 2002-2025"
 ]
}

 The dataset includes 1292 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000410-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14440153
title: ONCO-360 | DATASUS | INCA | CNES | SIOPS
DOI: 10.57760/sciencedb.35007
title: College Students' Career Cognition Ability Survey Dataset
title: 大学生职业认知能力调查数据集

description: This dataset originates from a questionnaire survey investigating the status of career cognition among undergraduates in colleges and universities in Southwest China. The research aimed to deeply explore the phenomenon and causes of “career cognition disconnection” among students across dimensions such as occupational knowledge, decision-making actions, and information acquisition. Data were collected online in December 2025, yielding 543 valid responses. The questionnaire primarily covers students' understanding of official knowledge systems (e.g., the National Occupational Classification), career exploration behaviors (translation of interest into action), and preferences for channels of occupational information.The sample covers students from freshman to senior years, with second-year undergraduates constituting the largest proportion (86.37%), providing a good representation of the general student population in the region. The dataset has been rigorously anonymized, containing only aggregate statistical information without any personal identifiers.This dataset provides valuable first-hand empirical data for researching college student career development, evaluating the effectiveness of university career education programs, and informing education policy making. It is particularly suitable for in-depth analysis in fields such as career cognition theoryand education-to-employment transition policies.
description: This dataset originates from a questionnaire survey investigating the status of career cognition among undergraduates in colleges and universities in Southwest China. The research aimed to deeply explore the phenomenon and causes of “career cognition disconnection” among students across dimensions such as occupational knowledge, decision-making actions, and information acquisition. Data were collected online in December 2025, yielding 543 valid responses. The questionnaire primarily covers students' understanding of official knowledge systems (e.g., the National Occupational Classification), career exploration behaviors (translation of interest into action), and preferences for channels of occupational information.The sample covers students from freshman to senior years, with second-year undergraduates constituting the largest proportion (86.37%), providing a good representation of the general student population in the region. The dataset has been rigorously anonymized, containing only aggregate statistical information without any personal identifiers.This dataset provides valuable first-hand empirical data for researching college student career development, evaluating the effectiveness of university career education programs, and informing education policy making. It is particularly suitable for in-depth analysis in fields such as career cognition theoryand education-to-employment transition policies.
DOI: 10.57760/sciencedb.j00289.00007
title: A-share listed companies' innovation patent failure dataset from 2014 to 2022
title: A股上市企业创新专利失败2014-2022年数据集

description: This dataset mainly covers relevant data of A-share listed companies from 2014 to 2022. Among them, the failure data of enterprise invention patents comes from the IncoPat database and CSMAR database, the financial data comes from the CSMAR database and CNRDS database, and some missing data is manually collected, organized, and matched. The specific meanings of row and column labels in the data can be found in the variable definition section of the paper. 
description: This dataset mainly covers relevant data of A-share listed companies from 2014 to 2022. Among them, the failure data of enterprise invention patents comes from the IncoPat database and CSMAR database, the financial data comes from the CSMAR database and CNRDS database, and some missing data is manually collected, organized, and matched. The specific meanings of row and column labels in the data can be found in the variable definition section of the paper.
DOI: 10.15468/dl.hkqhze
title: Occurrence Download

description: A dataset containing 17179 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Gambia",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scolopacidae",
 "Year 2002-2025"
 ]
}

 The dataset includes 17179 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000412-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.34831
title: Molecular Weight-Dependent Binding Heterogeneity of Heavy Metals with Dissolved Organic Matter in Plateau Waters: Insights from EEM-PARAFAC and moving-window
title: Molecular Weight-Dependent Binding Heterogeneity of Heavy Metals with Dissolved Organic Matter in Plateau Waters: Insights from EEM-PARAFAC and moving-window

description: This study investigated the binding interactions between heavy metals (Cu2+, Pb2+ and Cd2+) and size-fractionated dissolved organic matter (DOM) derived from plateau lake and river waters, combining fluorescence excitation-emission matrix (EEM) spectroscopy, parallel factor analysis (PARAFAC), and two-dimensional correlation spectroscopy (2D-COS). The results reveal significant heterogeneity in DOM-metal binding behaviors, driven by DOM source (autochthonous vs. allochthonous), molecular weight (high vs. low), and metal type. Cu2+ exhibited the strongest binding affinity, particularly with humic-like components in high-MW DOM, while Cd2+ showed minimal interaction. Protein-like materials in low-MW DOM facilitated metal mobility, whereas aromatic-rich high-MW DOM promoted metal sequestration. Moving-window 2D-COS (MW2D-COS) further identified critical concentration thresholds for metal-induced DOM structural changes. These findings highlight the dual role of DOM in mitigating or exacerbating heavy metal pollution, with implications for water quality management, ecological risk assessment, and remediation strategies in aquatic systems. Advanced spectral techniques proved effective in deciphering DOM-metal dynamics, offering a framework for predictive modeling and targeted pollution control.
description: This study investigated the binding interactions between heavy metals (Cu2+, Pb2+ and Cd2+) and size-fractionated dissolved organic matter (DOM) derived from plateau lake and river waters, combining fluorescence excitation-emission matrix (EEM) spectroscopy, parallel factor analysis (PARAFAC), and two-dimensional correlation spectroscopy (2D-COS). The results reveal significant heterogeneity in DOM-metal binding behaviors, driven by DOM source (autochthonous vs. allochthonous), molecular weight (high vs. low), and metal type. Cu2+ exhibited the strongest binding affinity, particularly with humic-like components in high-MW DOM, while Cd2+ showed minimal interaction. Protein-like materials in low-MW DOM facilitated metal mobility, whereas aromatic-rich high-MW DOM promoted metal sequestration. Moving-window 2D-COS (MW2D-COS) further identified critical concentration thresholds for metal-induced DOM structural changes. These findings highlight the dual role of DOM in mitigating or exacerbating heavy metal pollution, with implications for water quality management, ecological risk assessment, and remediation strategies in aquatic systems. Advanced spectral techniques proved effective in deciphering DOM-metal dynamics, offering a framework for predictive modeling and targeted pollution control.
DOI: 10.15468/dl.4gsntj
title: Occurrence Download

description: A dataset containing 661143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((89.43191 27.83533,100.09275 27.83533,100.09275 33.74119,89.43191 33.74119,89.43191 27.83533))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 661143 records from 762 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000373-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.35048
title: The complete mitochondrial genome sequences of different geographical populations of Protohermes xanthodes, Acanthacorydalis orientalis and Neochauliodes rotundatus
title: The complete mitochondrial genome sequences of different geographical populations of Protohermes xanthodes, Acanthacorydalis orientalis and Neochauliodes rotundatus

description: A total of 312 sets of mitochondrial genome data were obtained from three corydalid species, including 169 individuals from 38 populations of Protohermes xanthodes , 56 individuals from 15 populations of Neochauliodes rotundatus , and 87 individuals from 22 populations of Acanthacorydalis orientalis.
description: A total of 312 sets of mitochondrial genome data were obtained from three corydalid species, including 169 individuals from 38 populations of Protohermes xanthodes , 56 individuals from 15 populations of Neochauliodes rotundatus , and 87 individuals from 22 populations of Acanthacorydalis orientalis.
DOI: 10.15468/dl.f62jwh
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((73.752482 22.705936, 73.676357 22.700359, 73.602124 22.683768, 73.531628 22.656574, 73.466617 22.619453, 73.4087 22.573327, 73.359306 22.519339, 73.319647 22.458827, 73.29069200000001 22.393289, 73.27314 22.324343, 73.267409 22.253691, 73.27362100000001 22.183074, 73.291606 22.114229, 73.320905 22.048848, 73.36078500000001 21.988535, 73.41025500000001 21.934767, 73.468097 21.88886, 73.532887 21.851938, 73.603039 21.824901, 73.676838 21.808411, 73.752482 21.802869, 73.828126 21.808411, 73.90192500000001 21.824901, 73.972077 21.851938, 74.036867 21.88886, 74.09470899999999 21.934767, 74.14417899999999 21.988535, 74.184059 22.048848, 74.213358 22.114229, 74.231343 22.183074, 74.237555 22.253691, 74.231824 22.324343, 74.21427199999999 22.393289, 74.185317 22.458827, 74.145658 22.519339, 74.09626400000001 22.573327, 74.038347 22.619453, 73.973336 22.656574, 73.90284 22.683768, 73.82860700000001 22.700359, 73.752482 22.705936))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 51 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000413-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/a2g-9tg-j9c
title: Cryptogramma crispa (L.) R. Br. ex Hook.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/gba-zpy-nry
title: Viola cornuta L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/939-3nm-jg1
title: Viola rupestris F. W. Schmidt

description: Digital Specimen for the physical specimen hosted at University of Graz.