cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.dd7uw8
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Oreomunnea mexicana"
 ]
}

 The dataset includes 154 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016437-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5zj4un
title: Occurrence Download

description: A dataset containing 5731 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Canada",
 "OccurrenceStatus is Present",
 "StateProvince is Alberta (Prov.)",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 5731 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016436-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18636472
title: Early life environment and health data for Orang Asli

description: This project contains datasets related to:

Early life environments shape adult cardiometabolic health during rapid lifestyle change

RM Petersen, R Tennyson, TBT A/P Tan Boon Huat, KL Tam, MM Watowich, K Fadzil, C Nicholas, I Sayed, K Ng, YAL Lim, VV Venkataraman, IJ Wallace, TS Kraft, AJ Lea

A preprint of this work can be found here: https://www.biorxiv.org/content/10.1101/2025.06.06.658350v1

Specifically, the data provided here are:

1) Column explanations - Explanations of the columns included in the data files2) Orang Asli data files - De-identified early life environment, current environment, and current health data for Orang Asli. There is one version of this file (Zenodo v1) with predictor variables pre standardized as they are used in statistical analyses. The version of the file provided here (Zenodo v2) instead provides the unstandardized/raw data, which is linked to Github code that runs all standardization, cleaning, and statistical analyses.

The associated GitHub code can be found here: https://github.com/rachpetersen/Early_life_effects_health_OA/tree/main





These data were collected by the Orang Asli Health and Lifeways Project (OA HeLP). The project adheres to the “CARE Principles for Indigenous Data Governance” (Collective Benefit, Authority to Control, Responsibility, and Ethics) and we are committed to the “FAIR Guiding Principles for scientific data management and stewardship” (Findable, Accessible, Interoperable, Reusable). To adhere to these principles while minimizing risks, individual-level data are stored under restricted access.

The data can be accessed as follows:

Requests for de-identified, individual-level data should take the form of an application that details the exact uses of the data and the research questions to be addressed, procedures that will be employed for data security and individual privacy, potential benefits to the study communities, and procedures for assessing and minimizing stigmatizing interpretations of the research results. Requests for de-identified, individual-level data will require a data use agreement (available at lea-lab.org/resources) and may require institutional IRB approval. Please contact amanda.j.lea@vanderbilt.edu with any questions.
DOI: 10.5281/zenodo.15684748
title: Early life environment and health data for Orang Asli

description: This project contains datasets related to:

Early life environments shape adult cardiometabolic health during rapid lifestyle change

RM Petersen, R Tennyson, TBT A/P Tan Boon Huat, KL Tam, MM Watowich, K Fadzil, C Nicholas, I Sayed, K Ng, YAL Lim, VV Venkataraman, IJ Wallace, TS Kraft, AJ Lea

A preprint of this work can be found here: https://www.biorxiv.org/content/10.1101/2025.06.06.658350v1

Specifically, the data provided here are:

1) Column explanations - Explanations of the columns included in the data files2) Orang Asli data files - De-identified early life environment, current environment, and current health data for Orang Asli. There is one version of this file (Zenodo v1) with predictor variables pre standardized as they are used in statistical analyses. The version of the file provided here (Zenodo v2) instead provides the unstandardized/raw data, which is linked to Github code that runs all standardization, cleaning, and statistical analyses.

The associated GitHub code can be found here: https://github.com/rachpetersen/Early_life_effects_health_OA/tree/main





These data were collected by the Orang Asli Health and Lifeways Project (OA HeLP). The project adheres to the “CARE Principles for Indigenous Data Governance” (Collective Benefit, Authority to Control, Responsibility, and Ethics) and we are committed to the “FAIR Guiding Principles for scientific data management and stewardship” (Findable, Accessible, Interoperable, Reusable). To adhere to these principles while minimizing risks, individual-level data are stored under restricted access.

The data can be accessed as follows:

Requests for de-identified, individual-level data should take the form of an application that details the exact uses of the data and the research questions to be addressed, procedures that will be employed for data security and individual privacy, potential benefits to the study communities, and procedures for assessing and minimizing stigmatizing interpretations of the research results. Requests for de-identified, individual-level data will require a data use agreement (available at lea-lab.org/resources) and may require institutional IRB approval. Please contact amanda.j.lea@vanderbilt.edu with any questions.
DOI: 10.15468/dl.9n3u4w
title: Occurrence Download

description: A dataset containing 192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.30711 4.08792,-74.35397 4.06598,-74.419 3.99986,-74.4362 3.96097,-74.43437 3.87516,-74.43462 3.78691,-74.37903 3.78866,-74.33104 3.86955,-74.28916 3.91043,-74.26822 3.95131,-74.27022 4.00416,-74.28617 4.04504,-74.30711 4.08792))",
 "IucnRedListCategory is one of (CR, EN, VU)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 192 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016440-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mq9vbq
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heroina isonycterina",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 16 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016438-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nm3mse
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Boutonia cuspidata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016439-260208012135463/datasets/export for details.
DOI: 10.15468/dl.bwejpw
title: Occurrence Download

description: A dataset containing 458 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Artocarpus hypargyreus",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 458 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016441-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18636383
title: Defect-Engineered High-Entropy Alloy (Al–Cu–Fe–Ni–Ti) Unlocks Enhanced Hydrogen Evolution Performance

description: This dataset contains DFT inputs, initial and optimized structural models for H adsorption on AlCuFeNiTi High Entropy Alloy models, including quasi-random structural models and Cu-clusteres models. The data corresponds to the follosing article:
DOI: 10.5281/zenodo.18636382
title: Defect-Engineered High-Entropy Alloy (Al–Cu–Fe–Ni–Ti) Unlocks Enhanced Hydrogen Evolution Performance

description: This dataset contains DFT inputs, initial and optimized structural models for H adsorption on AlCuFeNiTi High Entropy Alloy models, including quasi-random structural models and Cu-clusteres models. The data corresponds to the follosing article:
DOI: 10.15468/dl.5p8kz4
title: Occurrence Download

description: A dataset containing 8395 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zinnia peruviana",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 8395 records from 200 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016442-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp3/ptcs7c
title: Molecular characteristics of solid-phase extracts and Cu(II)-loaded immobilized metal affinity chromatography extracts in Arctic Ocean waters

description: This dataset contains the ESI-qTOF characteristics of SPE and Cu(II)-IMAC extracts of the Arctic Ocean's dissolved organic matter.
DOI: 10.15468/dl.rya497
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-160.08859 20.20562,-11.61000 20.20562,-11.61000 79.57163,-160.08859 79.57163,-160.08859 20.20562))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Meteorus ictericus"
 ]
}

 The dataset includes 37 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016445-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp3/g001bu
title: TIMS-TOF and fluorescence dataset based on the DOM incubations in the Arctic Ocean

description: These two datasets contain data associated with the incubation experiments of DOM collected in the Arctic Ocean in 2021 and 2022. The TIMS-TOF data includes the m/z, CCS, and the peak intensities of the features found at T0 and T20. The PARAFAC dataset includes the fluorescence levels of the six PARAFAC components at T0 and T20.
DOI: 10.15468/dl.3e4uhg
title: Occurrence Download

description: A dataset containing 231 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Protobothrops elegans"
 ]
}

 The dataset includes 231 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016443-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/kvkus4
title: Generalized Livelihoods Self-efficacy Scale

description: The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women’s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women’s agency is, how it manifests and how it can best be measured across contexts given the research question at hand.&lt;/p&gt;
Improving women’s self-efficacy, or their belief in own capabilities to act effectively towards their own goals, is an important and urgent policy goal. The 10-item Generalized Livelihoods Self-efficacy Scale allows us to measure self-efficacy applicable to general economic activities. As opposed to treating it as a generalized personality trait or as a domain-specific construct, it intends to be a measure that is applicable across economic activities and to capture livelihoods in general in low-income contexts. It is designed to capture both control over economic decisions and resources and the ability to engage in economic activities. &lt;/p&gt;
This tool is suited for surveys run by NSOs, other nationally representative individual- or household-level surveys, and for targeted thematic or impact evaluation surveys designed to understand individuals' agency and decision-making. Other variables you may want to collect alongside this tool include engagement in income-generating activities, individual income, and MAGNET’s goal-setting capacity scale.&lt;/p&gt;
&lt;/p&gt;
This data study includes following files.
&lt;/p&gt;1. A survey document (including implementation guidelines).
&lt;/p&gt;2. A statistical annex containing more information about the validation of the tool, as well as statistical guidance for analysis.
&lt;/p&gt;3. Two files, CAPI_Choices and CAPI_Survey, along with the accompanying files, can be used to construct a CAPI program ready for survey implementation. Alternatively, users can use an Excel workbook "CAPI_.xlsx" that includes worksheets for survey and choices, along with others, for constructing a CAPI program ready for survey implementation.
description: Tools
DOI: 10.15468/dl.fsdjq6
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heros spurius",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 76 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016448-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ah9veq
title: Occurrence Download

description: A dataset containing 14012 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Veronica allionii"
 ]
}

 The dataset includes 14012 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016450-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/yx6x85
title: Preparing TXST for an AI-Driven Future: Enrollment Forecasting & Strategic Program Planning​

description: How should TXST strategically plan its academic
portfolio when AI threatens to reshape career
prospects across different fields? ​

This analysis addresses this challenge through risk
assessment, enrollment forecasting, and strategic
recommendations.
DOI: 10.15468/dl.9xntux
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brachystephanus giganteus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 55 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016449-260208012135463/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/14832679
title: Berita UII
DOI: 10.5281/zenodo.18632643
title: Index 10x_gex-GRCh38-2024-A

description: Prebuilt index 10x_gex-GRCh38-2024-A for STAR_2.7.11b
description: 10x_gex-GRCh38-2024-A

Pre-built index for STAR_2.7.11b

Workflow

Workflow to generate index is found at: bendall-lab/referenceDB

Using commit:38cc3d0

Genome

Sequences (id: 10x_gex-GRCh38-2024-A_gencode_names)

GRCh38 reference sequence data from 10x genomics, gencode names

steps:



extract [tar, pattern=refdata-gex-GRCh38-2024-A/fasta/genome.fa]

compress [bgzip]

index [samtools faidx]


sources:



10x/refdata-gex-GRCh38-2024-A.tar.gz


URL:      https://cf.10xgenomics.com/supp/cell-exp/refdata-gex-GRCh38-2024-A.tar.gz

Modified: Fri, 08 Mar 2024 21:33:57 GMT    

Retrieved: Thu Feb 12 10:29:16 PM UTC 2026




Annotation (id: 10x_gex-GRCh38-2024-A_gencode_names)

GRCh38 reference annotation data from 10x genomics, gencode names

steps:



extract [tar, pattern=refdata-gex-GRCh38-2024-A/genes/genes.gtf.gz]

sort [gtfutils sort, genomefile=refDB/sequences/10x_gex-GRCh38-2024-A_gencode_names/genome.fna.gz.fai]

compress [bgzip]

index [tabix]


sources:



10x/refdata-gex-GRCh38-2024-A.tar.gz


URL:      https://cf.10xgenomics.com/supp/cell-exp/refdata-gex-GRCh38-2024-A.tar.gz

Modified: Fri, 08 Mar 2024 21:33:57 GMT

Retrieved: Thu Feb 12 10:29:16 PM UTC 2026
DOI: 10.5281/zenodo.18632642
title: Index 10x_gex-GRCh38-2024-A

description: Prebuilt index 10x_gex-GRCh38-2024-A for STAR_2.7.11b
description: 10x_gex-GRCh38-2024-A

Pre-built index for STAR_2.7.11b

Workflow

Workflow to generate index is found at: bendall-lab/referenceDB

Using commit:38cc3d0

Genome

Sequences (id: 10x_gex-GRCh38-2024-A_gencode_names)

GRCh38 reference sequence data from 10x genomics, gencode names

steps:



extract [tar, pattern=refdata-gex-GRCh38-2024-A/fasta/genome.fa]

compress [bgzip]

index [samtools faidx]


sources:



10x/refdata-gex-GRCh38-2024-A.tar.gz


URL:      https://cf.10xgenomics.com/supp/cell-exp/refdata-gex-GRCh38-2024-A.tar.gz

Modified: Fri, 08 Mar 2024 21:33:57 GMT    

Retrieved: Thu Feb 12 10:29:16 PM UTC 2026




Annotation (id: 10x_gex-GRCh38-2024-A_gencode_names)

GRCh38 reference annotation data from 10x genomics, gencode names

steps:



extract [tar, pattern=refdata-gex-GRCh38-2024-A/genes/genes.gtf.gz]

sort [gtfutils sort, genomefile=refDB/sequences/10x_gex-GRCh38-2024-A_gencode_names/genome.fna.gz.fai]

compress [bgzip]

index [tabix]


sources:



10x/refdata-gex-GRCh38-2024-A.tar.gz


URL:      https://cf.10xgenomics.com/supp/cell-exp/refdata-gex-GRCh38-2024-A.tar.gz

Modified: Fri, 08 Mar 2024 21:33:57 GMT

Retrieved: Thu Feb 12 10:29:16 PM UTC 2026
DOI: 10.5683/sp3/aaynm0
title: Structural Determinants of SlpA-Mediated Phage Recognition in Clostridioides difficile

description: The emergence of Clostridioides difficile as a leading cause of healthcare-associated nosocomial intestinal infections calls for novel therapeutic strategies, particularly in the context of antibiotic resistance and recurrent disease. Phage therapy is a promising approach, but its clinical application against C. difficile remains hindered by our lack of understanding of the factors driving host specificity. Indeed, it is crucial to understand how phages specifically interact with their host to be able to select the best candidates for cocktail preparation. The main surface layer protein SlpA is a key phage receptor, but the molecular details governing phage-receptor interactions remain unclear. By dissecting the structural features of SlpA required for phage infection through engineered isoforms and domain modifications, we reveal how specific regions of SlpA mediate phage adsorption and infection. These new insights into phage–receptor interactions will be instrumental in guiding the future engineering of broad-host-range therapeutic phages. This dataset comprises genome sequences of the wiltdype R20291 strain, as well as two mutants derived from this strain. One is the FM2.5 slpA null mutant, carying a point mutation in the slpA gene causing a severe truncation of the protein and the absence of an S-layer at the surface of the cell. The other mutant is a newly created deletion mutant in wich the complete slpA gene was removed using CRISPR-Cas. The 3 strains have been resequenced by Oxford Nanopore long read, and Aviti short reads.
DOI: 10.34740/kaggle/dsv/14832680
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.fgph9p
title: Occurrence Download

description: A dataset containing 157786 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (NMNH Extant Specimen Records (USNM, US), iNaturalist Research-grade Observations, University of Michigan Museum of Zoology, Division of Reptiles & Amphibians, Museum of Comparative Zoology, Harvard University)",
 "OccurrenceStatus is Present",
 "TaxonKey is Plethodon cinereus"
 ]
}

 The dataset includes 157786 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016428-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/idctve
title: Short-form Locus of Control Scale

description: The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women’s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women’s agency is, how it manifests and how it can best be measured across contexts given the research question at hand.&lt;/p&gt;
Measuring an individual’s agency requires understanding to what degree individuals believe they can purposefully achieve their goals (Kabeer 1999; Donald et al. 2020). A common conceptualization in psychology is an individual’s locus of control (Rotter 1966): the degree to which an individual believes that events are caused by one’s own behavior versus external factors (chance or powerful others). This construct is of policy interest because a greater internal locus of control is empirically associated with positive outcomes including human capital, technology adoption, employment outcomes, and savings. The 9-item Short-form Locus of Control Scale adapts the Sapp and Harrod (1993) scale, allowing us to capture who are the “powerful others” that individuals have in mind when we try to measure individuals’ external locus of control. This scale includes items that explicitly mention household and non-household members.&lt;/p&gt;
This scale can be used to measure differences in internal locus of control within a population, determine where an individual’s feeling of lack of control comes from, or to assess heterogeneity in the impact of a program by baseline levels of locus of control. Which “powerful others” are included in the scale can be adapted depending on the context. For example, when administering this scale to adolescent girls, asking about parents or peers may be more relevant. This tool is suited for surveys run by NSOs, other nationally representative individual- or household-level surveys, and for targeted thematic or impact evaluation surveys designed to understand individuals' agency and decision-making.&lt;/p&gt;
This data study includes following files.
&lt;/p&gt;1. A survey document (including implementation guidelines).
&lt;/p&gt;2. A statistical annex containing more information about the validation of the tool, as well as statistical guidance for analysis.
&lt;/p&gt;3. Two files, CAPI_Choices and CAPI_Survey, along with the accompanying files, can be used to construct a CAPI program ready for survey implementation. Alternatively, users can use an Excel workbook "CAPI_.xlsx" that includes worksheets for survey and choices, along with others, for constructing a CAPI program ready for survey implementation.
description: Tools