cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18257627
title: Complete Observational Dataset for Herpetofaunal Diversity in the Upper Guinean Rainforest: a Baseline Survey from the Dugbe Region, Liberia

description: Observational records from field surveys in the Dugbe study area over two seasons (May 2021 and October/November 2021). For each of the 1,084 records, we include the scientific name, latitude, longitude, coordinate accuracy, date, and number of observations. Where relevant, the American Museum of Natural History (AMNH) voucher specimen number is included, and for digital vouchers, the iNaturalist URL is provided.
DOI: 10.5281/zenodo.18257628
title: Complete Observational Dataset for Herpetofaunal Diversity in the Upper Guinean Rainforest: a Baseline Survey from the Dugbe Region, Liberia

description: Observational records from field surveys in the Dugbe study area over two seasons (May 2021 and October/November 2021). For each of the 1,084 records, we include the scientific name, latitude, longitude, coordinate accuracy, date, and number of observations. Where relevant, the American Museum of Natural History (AMNH) voucher specimen number is included, and for digital vouchers, the iNaturalist URL is provided.
DOI: 10.15468/dl.6zwwez
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cicer incisum"
 ]
}

 The dataset includes 32 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012125-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/ugkkfo
title: Dados referente a avaliação da virulência de linhagens de Salmonella enterica Typhimurium utilizando o modelo de infecção de Galleria mellonella

description: Este conjunto de dados reúne a análise quantitativa a respeito da atenuação da virulência de linhagens mutantes de Salmonella enterica Typhimurium
DOI: 10.15468/dl.6jk2hk
title: Occurrence Download

description: A dataset containing 242350 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carex bicolor, Carex panicea)",
 "Year 2000-2026"
 ]
}

 The dataset includes 242350 records from 1027 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012095-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26071/f406b9f5-c849-4155
title: Mesurer la captation du carbone et restaurer des habitats aquatiques nord-côtiers pour contribuer à l’atténuation des changements climatiques
title: Measuring Carbon Capture and Restoring Northern Coastal Aquatic Habitats to Contribute to Climate Change Mitigation

description: Ce projet a comme objectif de générer des données écologiques dans le but de restaurer les écosystèmes aquatiques et d'atténuer les impacts humains sur les milieux côtiers et marins canadiens. Le Fonds de restauration des écosystèmes aquatiques (FREA) s'inscrit dans le renouvellement du Plan de protection des océans. Le programme fournit 75 millions de dollars pour une période de 5 ans (2022-2027) afin d'appuyer la restauration aquatique qui aidera à s'attaquer aux causes principales de la dégradation des milieux côtiers et marins. Ce jeu de données couvre plusieurs herbiers de zostère sur la Côte-Nord, s'étendant de la Baie-des-Homards, à l'ouest de Port-Cartier, jusqu'à Kegaska. Dans le but de restaurer des habitats aquatiques sur la Côte-Nord, le Comité ZIP Côte-Nord du Golfe a réalisé des inventaires ichtyologiques ainsi que floristiques, et a évalué les paramètres physicochimiques et les facteurs abiotiques, permettant de caractériser des herbiers de zostère à l'été 2023.
description: The objective of this project is to generate ecological data in order to restore aquatic ecosystems and mitigate human impacts on Canadian coastal and marine environments. The Aquatic Ecosystem Restoration Fund (AERF) is part of the renewal of the Oceans Protection Plan. The program provides $75 million over a period of 5 years (2022—2027) to support aquatic restoration that will help address the main causes of coastal and marine degradation. This dataset covers several eelgrass beds on the North Shore, extending from Baie-des-Homards, west of Port-Cartier, to Kegaska. In order to restore aquatic habitats on the North Shore, the Gulf North Shore ZIP Committee carried out ichthyological and floristic inventories, and evaluated physicochemical parameters and abiotic factors, making it possible to characterize eelgrass beds in summer 2023.
DOI: 10.6084/m9.figshare.31073695
title: Dataset Sentimen Mobil Listrik DKI Jakarta 2025

description: Data sentimen masyarakat DKI Jakarta terhadap mobil listrik di tahun 2025
DOI: 10.6084/m9.figshare.31073695.v1
title: Dataset Sentimen Mobil Listrik DKI Jakarta 2025

description: Data sentimen masyarakat DKI Jakarta terhadap mobil listrik di tahun 2025
DOI: 10.5281/zenodo.18258440
title: Arbuscular Mycorrhizal Fungi Orchestrate Soil Microbial Community Assembly Along a Salix cupularis Restoration Chronosequence in a Desertified Alpine Grassland
DOI: 10.15468/dl.pxzabe
title: Occurrence Download

description: A dataset containing 148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eurya quinquelocularis"
 ]
}

 The dataset includes 148 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012127-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16942785
title: Arbuscular Mycorrhizal Fungi Orchestrate Soil Microbial Community Assembly Along a Salix cupularis Restoration Chronosequence in a Desertified Alpine Grassland
DOI: 10.17026/dans-zm2-8qdr
title: Inventariserend Veldonderzoek door middel van grondboringen; Bouwlocatie Molenstraat 30, Ter Aar
title: SOB 2005 WILG.334

description: &lt;p&gt;onderzoeksrapport&lt;/p&gt;
DOI: 10.6084/m9.figshare.31073671
title: Data and Rscript for manuscript "A chemically defined medium to support the growth of food-relevant

description: Dataset and R script for manuscript "A chemically defined medium to support the growth of food-relevant <i>Bacillus</i> species" https://doi.org/10.1101/2025.07.14.664712, for Figure 1, Figure 2, Table 5, Table 6 and Supplementary Figure 1.
DOI: 10.6084/m9.figshare.31073671.v1
title: Data and Rscript for manuscript "A chemically defined medium to support the growth of food-relevant

description: Dataset and R script for manuscript "A chemically defined medium to support the growth of food-relevant <i>Bacillus</i> species" https://doi.org/10.1101/2025.07.14.664712, for Figure 1, Figure 2, Table 5, Table 6 and Supplementary Figure 1.
DOI: 10.5281/zenodo.18258354
title: Soil fauna responses to vineyard management intensity in a Mediterranean context: a multi-taxa approach
DOI: 10.5281/zenodo.18258355
title: Soil fauna responses to vineyard management intensity in a Mediterranean context: a multi-taxa approach
DOI: 10.15468/dl.2he4p4
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Oxytropis poncinsii"
 ]
}

 The dataset includes 21 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012129-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2mqd52
title: Occurrence Download

description: A dataset containing 499514 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Numenius arquata",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 },
 "Country is Sweden",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 499514 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012079-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s6ra4b
title: Occurrence Download

description: A dataset containing 1131558 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corylus avellana",
 "BasisOfRecord is one of (Human Observation)"
 ]
}

 The dataset includes 1131558 records from 3227 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012093-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p53hej
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ammodytes personatus Girard, 1856",
 "Year 2000-2025"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013084-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6u6q54
title: Occurrence Download

description: A dataset containing 3287 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Herpetofauna, avifauna y plantas de Puerto Salgar, Caparrapí, Guaduas y Quebradanegra (Cundinamarca)"
 ]
}

 The dataset includes 3287 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000586-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e227681
title: Museum Data Files

description: The Museum Data Files (MDF) updated in 2018 are a set of three files, based on museum discipline.<br>Purpose: The files provide information about museums and related organizations in the United States.<br>Coverage: The frame is restricted to establishments in the 50 states and the District of Columbia.<br>Content: Data includes information about museum location (including geocode data), museum discipline, North American Industry Classification System (NAICS) and National Taxonomy of Exempt Entities codes, DUNS, EIN, Regional classifications (American Alliance of Museums and the Bureau of Economic Analysis categorization schemes) and IRS 990 revenue information. For more information, see the Data File Documentation and Users Guide (PDF 581KB).<br>Frequency:  Previous files were posted under the name "Museum Universe Data File (MUDF)" in FY 2014 Q1, FY 2015 Q1 and FY 2015 Q3. IMLS has no plans to update the museum files. Other researchers, such as those working on the IMLS-funded study titled Understanding the Social Wellbeing Impacts of the Nation's Libraries and Museums are working with the data in the three museum files and will share their findings as these are available. <br>Methods: File entries were compiled from multiple sources, including IMLS administrative data and records, Internal Revenue Service (IRS) nonprofit data (e.g., 990, 990-EZ, 990-N), lists of grantees from private foundations, museum associations, and data obtained from third party commercial vendors. As with any compilation of data from multiple original source lists, file entries were de-duplicated to the extent feasible using a combination of statistical algorithms and manual entry review. Additionally, file entries were subjected to review to update and verify data elements, identify duplication not captured algorithmically, and identify entries that were not eligible for inclusion. These methods are more fully described in the Data File Documentation and User's Guide (PDF 581KB).<br>Use: These files are useful to researchers, journalists, the public, local practitioners, and policymakers at the federal, state, and local levels for planning, evaluation, and policy making.
DOI: 10.3886/e227681v1
title: Museum Data Files

description: The Museum Data Files (MDF) updated in 2018 are a set of three files, based on museum discipline.<br>Purpose: The files provide information about museums and related organizations in the United States.<br>Coverage: The frame is restricted to establishments in the 50 states and the District of Columbia.<br>Content: Data includes information about museum location (including geocode data), museum discipline, North American Industry Classification System (NAICS) and National Taxonomy of Exempt Entities codes, DUNS, EIN, Regional classifications (American Alliance of Museums and the Bureau of Economic Analysis categorization schemes) and IRS 990 revenue information. For more information, see the Data File Documentation and Users Guide (PDF 581KB).<br>Frequency:  Previous files were posted under the name "Museum Universe Data File (MUDF)" in FY 2014 Q1, FY 2015 Q1 and FY 2015 Q3. IMLS has no plans to update the museum files. Other researchers, such as those working on the IMLS-funded study titled Understanding the Social Wellbeing Impacts of the Nation's Libraries and Museums are working with the data in the three museum files and will share their findings as these are available. <br>Methods: File entries were compiled from multiple sources, including IMLS administrative data and records, Internal Revenue Service (IRS) nonprofit data (e.g., 990, 990-EZ, 990-N), lists of grantees from private foundations, museum associations, and data obtained from third party commercial vendors. As with any compilation of data from multiple original source lists, file entries were de-duplicated to the extent feasible using a combination of statistical algorithms and manual entry review. Additionally, file entries were subjected to review to update and verify data elements, identify duplication not captured algorithmically, and identify entries that were not eligible for inclusion. These methods are more fully described in the Data File Documentation and User's Guide (PDF 581KB).<br>Use: These files are useful to researchers, journalists, the public, local practitioners, and policymakers at the federal, state, and local levels for planning, evaluation, and policy making.
DOI: 10.6084/m9.figshare.29177084.v1
title: Additional file 21 of Western Diet and fecal microbiota transplantation alter phenotypic, liver fatty acids, and gut metagenomics and metabolomics in Mtarc2 knockout mice

description: Supplementary Material 21: Table 3. Taxonomic analysis of fecal samples collected at the beginning of experiments (time point T0) in Mtarc2-KO females and males compared with C57BL/6N mice.
DOI: 10.6084/m9.figshare.29177087.v1
title: Additional file 22 of Western Diet and fecal microbiota transplantation alter phenotypic, liver fatty acids, and gut metagenomics and metabolomics in Mtarc2 knockout mice

description: Supplementary Material 22: Table 4. Tax differentiated between T16 and T0 in at least one PEG(−) groups.
DOI: 10.6084/m9.figshare.29177084
title: Additional file 21 of Western Diet and fecal microbiota transplantation alter phenotypic, liver fatty acids, and gut metagenomics and metabolomics in Mtarc2 knockout mice

description: Supplementary Material 21: Table 3. Taxonomic analysis of fecal samples collected at the beginning of experiments (time point T0) in Mtarc2-KO females and males compared with C57BL/6N mice.
DOI: 10.6084/m9.figshare.29177087
title: Additional file 22 of Western Diet and fecal microbiota transplantation alter phenotypic, liver fatty acids, and gut metagenomics and metabolomics in Mtarc2 knockout mice

description: Supplementary Material 22: Table 4. Tax differentiated between T16 and T0 in at least one PEG(−) groups.
DOI: 10.6084/m9.figshare.29177090
title: Additional file 1 of Measuring the effects of community polygyny on intimate partner violence: a multilevel modeling using nationally representative cross-sectional data

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.29177090.v1
title: Additional file 1 of Measuring the effects of community polygyny on intimate partner violence: a multilevel modeling using nationally representative cross-sectional data

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.29177091
title: Additional file 2 of The impact of PCR duplication on RNAseq data generated using NovaSeq 6000, NovaSeq X, AVITI, and G4 sequencers

description: Additional File 2: Contains all supplementary tables from S1 to S4.
DOI: 10.6084/m9.figshare.29177091.v1
title: Additional file 2 of The impact of PCR duplication on RNAseq data generated using NovaSeq 6000, NovaSeq X, AVITI, and G4 sequencers

description: Additional File 2: Contains all supplementary tables from S1 to S4.
DOI: 10.25935/bw9r-n353
title: STEREO/Waves/LFR-HFR L2 Dataset

description: This collection is contains the daily calibrated Level 2 datasets for the Waves/LFR and Waves/HFR receivers onboard the STEREO-A and STEREO-B spacecraft.
DOI: 10.5281/zenodo.15462682
title: Supplementary Dataset for "Are We Measuring What Matters? A Multilayered Framework Integrating 15-Minute City Principles to Evaluate Active Mobility Infrastructure"

description: This dataset contains supporting material for the paper "Are We Measuring What Matters? A Multilayered Framework Integrating 15-Minute City Principles to Evaluate Active Mobility Infrastructure". It includes:



An Excel table listing 138 unique indicators organized under 6 broad constructs.

A Python script for identifying unique and duplicate indicators across multiple studies identified through the PRISMA protocal.

A Python script for extracting most and least common indicators based on frequency analysis. 


These files are intended to support further research on non-motorized infrastructure evaluation in proximity-based urban planning frameworks.
DOI: 10.5281/zenodo.15295480
title: Supplementary Dataset for "Are We Measuring What Matters? A Multilayered Framework Integrating 15-Minute City Principles to Evaluate Active Mobility Infrastructure"

description: This dataset contains supporting material for the paper "Are We Measuring What Matters? A Multilayered Framework Integrating 15-Minute City Principles to Evaluate Active Mobility Infrastructure". It includes:



An Excel table listing 138 unique indicators organized under 6 broad constructs.

A Python script for identifying unique and duplicate indicators across multiple studies identified through the PRISMA protocal.

A Python script for extracting most and least common indicators based on frequency analysis. 


These files are intended to support further research on non-motorized infrastructure evaluation in proximity-based urban planning frameworks.
DOI: 10.15468/dl.mthg27
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((0.92696 39.78843,0.92696 38.05626,4.72192 38.36054,4.78001 40.90985,0.92696 39.78843))",
 "HasGeospatialIssue is false",
 "TaxonKey is Callinectes sapidus Rathbun, 1896"
 ]
}

 The dataset includes 69 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006726-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.budynz
title: Occurrence Download

description: A dataset containing 1090 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phthorimaea operculella (Zeller, 1873)"
 ]
}

 The dataset includes 1090 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006727-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ddag9r
title: Occurrence Download

description: A dataset containing 19360 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 Micromeria Benth."
 ]
}

 The dataset includes 19360 records from 265 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006728-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.agkh5f
title: Occurrence Download

description: A dataset containing 5203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((135.01339 -17.80421,144.73298 -17.80421,144.73298 -8.75869,135.01339 -8.75869,135.01339 -17.80421))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Myliobatiformes",
 "Year 1950-2025"
 ]
}

 The dataset includes 5203 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006730-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.38ep2z
title: Occurrence Download

description: A dataset containing 309 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 Micromonolepis Ulbr."
 ]
}

 The dataset includes 309 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006731-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4bpcv4
title: Occurrence Download

description: A dataset containing 3819 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((136.38167 -17.56123,142.7783 -17.56123,142.7783 -10.88948,136.38167 -10.88948,136.38167 -17.56123))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Myliobatiformes",
 "Year 1950-2025"
 ]
}

 The dataset includes 3819 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006732-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jn6hae
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Engraulidae",
 "Year 2000-2025"
 ]
}

 The dataset includes 189 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006733-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.