cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7929/issda/wba3jd
title: Labour Force Survey (LFS), 2011

description: The Labour Force Survey (LFS) is a large-scale, nationwide survey of households in Ireland conducted by the Central Statistics Office. It is designed to produce quarterly labour force estimates that include the official measure of employment and unemployment in the state (ILO basis). This survey replaced the Quarterly National Household Survey (QNHS) from Q3 2017. The QNHS began in September 1997, replacing the annual April Labour Force Survey (LFS). Each quarter the LFS produces data among others on: Numbers unemployed Persons in employment Labour force participation rates Inactive population (not in the labour force) Sectoral breakdown (Nace Rev. 2) of those in employment Breakdown of headline data by age, sex and region Persons in employment classified by occupation Seasonally adjusted headline series Data on family composition
DOI: 10.15468/dl.jcff44
title: Occurrence Download

description: A dataset containing 234 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ips acuminatus"
 ]
}

 The dataset includes 234 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041473-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xmh9mq
title: Occurrence Download

description: A dataset containing 117100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Geometry POLYGON((75 25, 77 25, 77 26, 75 26, 75 25))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 117100 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041401-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.64jtnu
title: Occurrence Download

description: A dataset containing 10688 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-105.7188 22.34913, -105.5688 22.34913, -105.5688 22.49913, -105.7188 22.49913, -105.7188 22.34913))"
 ]
}

 The dataset includes 10688 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041474-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ygkdh
title: Occurrence Download

description: A dataset containing 943 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gulo gulo",
 "Year 1925-2025"
 ]
}

 The dataset includes 943 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041475-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fewy9j
title: Occurrence Download

description: A dataset containing 64057 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gossypium"
 ]
}

 The dataset includes 64057 records from 776 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041418-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7929/issda/646mfn
title: Labour Force Survey (LFS), 2020

description: The Labour Force Survey (LFS) is a large-scale, nationwide survey of households in Ireland conducted by the Central Statistics Office. It is designed to produce quarterly labour force estimates that include the official measure of employment and unemployment in the state (ILO basis). This survey replaced the Quarterly National Household Survey (QNHS) from Q3 2017. The QNHS began in September 1997, replacing the annual April Labour Force Survey (LFS). Each quarter the LFS produces data among others on: Numbers unemployed Persons in employment Labour force participation rates Inactive population (not in the labour force) Sectoral breakdown (Nace Rev. 2) of those in employment Breakdown of headline data by age, sex and region Persons in employment classified by occupation Seasonally adjusted headline series Data on family composition
DOI: 10.15468/dl.mqmszx
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.9188 22.49913, -109.7688 22.49913, -109.7688 22.64913, -109.9188 22.64913, -109.9188 22.49913))"
 ]
}

 The dataset includes 108 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041476-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bbudbq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Osmia kohlii",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041477-251025141854904/datasets/export for details.
DOI: 10.48320/083654f1-95e7-49cc-a8c5-8f40e9f8e8a5
title: Dataset on Ukrainian oligarchs 2000-2025
DOI: 10.7910/dvn/zggn2f
title: Replication Data for: Africa-specific genetic loci determine iron status and risk of severe malaria and bacteremia in African children

description: &lt;p&gt;Iron is an essential trace element for both humans and pathogens, but its genetic determinants are understudied in Africa where iron deficiency and infectious diseases are highly prevalent. We conducted genome-wide association studies for six iron-related biomarkers in 3928 children from five sites across Africa with replication in 2868 African American adults. We identify a previously-unreported loci for transferrin in GTF3C5, a gene regulating cellular iron-uptake, for soluble transferrin receptor in FREM3, the Dantu locus, and for hepcidin in CHCHD7/SDR16C5. The lead GTF3C5 and FREM3 variants, rs2905094, and rs141274959, were associated with protection against severe malaria and bacteremia in large case-control studies. The CHCHD7/SDR16C5 lead variant, rs73596248, increased hepcidin concentrations and protected against bacteremia. We report limited transferability of polygenic risk scores derived from European studies to African populations. Our findings advance the understanding of the genetics of iron status in Africa and suggest an important link between iron and infection.&lt;/p&gt;
description: <strong>Data Access: </strong>Restricted

Access to these data requires submission of a formal request for consideration by our Data Governance Committee. 
<strong>How to request</strong>

Download and complete the <strong>data request form</strong>
 Email completed data request form to the Data Governance Committee at <strong>dgc@kemri-wellcome.org</strong>
DOI: 10.5281/zenodo.17639156
title: Dataset on Ukrainian oligarchs 2000-2025

description: The dataset gives an overview of major characteristics of Ukrainian oligarchs for the period from 2000 to 2025. It covers oligarchs according to a narrow definition, which centers on business as core activity with a wealth of at least 0.2 bn USD plus political activity at the national level. It offers short information on business interests (including media ownership) and estimated wealth, formal positions held in national politics as well as leaked offshore links, public prosecution, legal sentences and sanctions. Details are provided in the file "documentation of data collection".

New in this version: All information has been fully updated to mid-2025, with several new oligarchs added. Information on  leaked offshore links plus public prosecution, legal sentences and sanctions has been added (columns 9 and 10), while information on major foreign direct investments (column 8) has been deleted due to missing information.
description: Published on Discuss Data, https://discuss-data.net/dataset/083654f1-95e7-49cc-a8c5-8f40e9f8e8a5/
description: Method(s) of data collection: Desk ResearchMethod(s) of data analysis: None
DOI: 10.5281/zenodo.17639157
title: Dataset on Ukrainian oligarchs 2000-2025

description: The dataset gives an overview of major characteristics of Ukrainian oligarchs for the period from 2000 to 2025. It covers oligarchs according to a narrow definition, which centers on business as core activity with a wealth of at least 0.2 bn USD plus political activity at the national level. It offers short information on business interests (including media ownership) and estimated wealth, formal positions held in national politics as well as leaked offshore links, public prosecution, legal sentences and sanctions. Details are provided in the file "documentation of data collection".

New in this version: All information has been fully updated to mid-2025, with several new oligarchs added. Information on  leaked offshore links plus public prosecution, legal sentences and sanctions has been added (columns 9 and 10), while information on major foreign direct investments (column 8) has been deleted due to missing information.
description: Published on Discuss Data, https://discuss-data.net/dataset/083654f1-95e7-49cc-a8c5-8f40e9f8e8a5/
description: Method(s) of data collection: Desk ResearchMethod(s) of data analysis: None
DOI: 10.15468/dl.dfhjaa
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Retrostium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041478-251025141854904/datasets/export for details.
DOI: 10.15468/dl.czumuq
title: Occurrence Download

description: A dataset listing the 1476 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((4.95564 44.65742,5.0757 44.65742,5.0757 44.73367,4.95564 44.73367,4.95564 44.65742))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 2000-2025"
 ]
}

 The dataset's 1476 records were derived from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041470-251025141854904/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.30646313
title: Dataset of cardiorespiratory parameters in older adults studying Indian ragas

description: This dataset contains physiological recordings collected from 200 elderly individuals diagnosed with primary hypertension and residing in old-age homes. The study evaluated the combined effects of standard antihypertensive medications and a non-pharmacological intervention—Indian classical music (Raga Malkauns)—on cardiovascular and respiratory parameters.Participants were randomly assigned to a control group (drug therapy only) or an experimental group (drug therapy + music therapy). Each group included 100 individuals. Two medications were examined: Drug A (Atenolol) and Drug B (Azlocillin). Music therapy consisted of daily listening sessions to a sitar-based performance of Raga Malkauns for 30 days.The dataset includes pre- and post-intervention measurements of: Systolic blood pressure (SBP), Diastolic blood pressure (DBP), Mean arterial pressure (MAP), Heart rate (HR), Respiration rate (RR), Group labels (control/experimental), and Drug type (Atenolol, Azlocillin).Self-reported emotional assessments (SAM and PANAS) were also collected for the experimental group to quantify affective changes associated with music listening.
DOI: 10.6084/m9.figshare.30646313.v1
title: Dataset of cardiorespiratory parameters in older adults studying Indian ragas

description: This dataset contains physiological recordings collected from 200 elderly individuals diagnosed with primary hypertension and residing in old-age homes. The study evaluated the combined effects of standard antihypertensive medications and a non-pharmacological intervention—Indian classical music (Raga Malkauns)—on cardiovascular and respiratory parameters.Participants were randomly assigned to a control group (drug therapy only) or an experimental group (drug therapy + music therapy). Each group included 100 individuals. Two medications were examined: Drug A (Atenolol) and Drug B (Azlocillin). Music therapy consisted of daily listening sessions to a sitar-based performance of Raga Malkauns for 30 days.The dataset includes pre- and post-intervention measurements of: Systolic blood pressure (SBP), Diastolic blood pressure (DBP), Mean arterial pressure (MAP), Heart rate (HR), Respiration rate (RR), Group labels (control/experimental), and Drug type (Atenolol, Azlocillin).Self-reported emotional assessments (SAM and PANAS) were also collected for the experimental group to quantify affective changes associated with music listening.
DOI: 10.5281/zenodo.17592207
title: Ciqual French table of average foods and their contributors 2025

description: The Ciqual French table of average foods accompanies the French food composition table 2025. The latter provides information on the nutritional composition of the most commonly consumed foods in France, including certain foods referred to as ‘average’, such as ‘cheese’, ‘cooked meat’, 'fruit' and ‘cooked vegetables’, without further detail. The Ciqual French table of average foods lists these 191 specific foods and their contributors in Excel format. It therefore provides documentation and traceability information that explains how the nutritional composition of the average foods in the Ciqual table are determined. The 2025 average food table is published by the Food Observatory unit of the French Agency for Food, Environmental and Occupational Health & Safety (Anses).
description: FR; xlsx; ciqual@anses.fr;
DOI: 10.5281/zenodo.17592206
title: Ciqual French table of average foods and their contributors 2025

description: The Ciqual French table of average foods accompanies the French food composition table 2025. The latter provides information on the nutritional composition of the most commonly consumed foods in France, including certain foods referred to as ‘average’, such as ‘cheese’, ‘cooked meat’, 'fruit' and ‘cooked vegetables’, without further detail. The Ciqual French table of average foods lists these 191 specific foods and their contributors in Excel format. It therefore provides documentation and traceability information that explains how the nutritional composition of the average foods in the Ciqual table are determined. The 2025 average food table is published by the Food Observatory unit of the French Agency for Food, Environmental and Occupational Health & Safety (Anses).
description: FR; xlsx; ciqual@anses.fr;
DOI: 10.15468/dl.9hbz9w
title: Occurrence Download

description: A dataset containing 163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galenia sarcophylla",
 "HasCoordinate is true"
 ]
}

 The dataset includes 163 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041480-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17550132
title: Ciqual French food composition table 2025

description: The French food composition database is run by Ciqual in the Observatory of Food, unit of ANSES (the French agency for food, environmental and occupational health safety). Its mission is to collect, evaluate and make available nutritional composition of food consumed in France. This file provides the composition of 3484 foods for 74 components (for instance: carbohydrates, individual sugars and starch, proteins, fat and fatty acids, vitamins and minerals, energy...).
description: The present data and information are made available to the public by the French Agency for Food, Environmental and Occupational Health & Safety (ANSES). They must not be reproduced in any form without clear indication of the source: "Anses. 2025. Ciqual French food composition table." or, in more detail, for a scientific publication: "Anses. 2025. Ciqual French food composition table 2025. doi:10.5281/zenodo.17550133"
description: FR; xlsx; ciqual@anses.fr;
DOI: 10.5281/zenodo.17550133
title: Ciqual French food composition table 2025

description: The French food composition database is run by Ciqual in the Observatory of Food, unit of ANSES (the French agency for food, environmental and occupational health safety). Its mission is to collect, evaluate and make available nutritional composition of food consumed in France. This file provides the composition of 3484 foods for 74 components (for instance: carbohydrates, individual sugars and starch, proteins, fat and fatty acids, vitamins and minerals, energy...).
description: The present data and information are made available to the public by the French Agency for Food, Environmental and Occupational Health & Safety (ANSES). They must not be reproduced in any form without clear indication of the source: "Anses. 2025. Ciqual French food composition table." or, in more detail, for a scientific publication: "Anses. 2025. Ciqual French food composition table 2025. doi:10.5281/zenodo.17550133"
description: FR; xlsx; ciqual@anses.fr;
DOI: 10.5281/zenodo.17638924
title: DASWOW Jupyter Notebooks Subset

description: DASWOW Jupyter Notebooks Subset

This dataset is a curated subset of 470 Jupyter notebooks extracted from the original collection of ~1M Jupyter Notebooks published by:

Rule, Adam; Tabard, Aurélien; Hollan, James D. (2018): Data from: Exploration and Explanation in Computational Notebooks, UC San Diego Library Digital Collections. https://doi.org/10.6075/J0JW8C39

The subset specifically corresponds to the Jupyter notebooks used in the DASWOW dataset (Data Science Notebooks with Workflow Information) and includes 470 curated Jupyter notebooks, which are located under the `DASWOW/DASWOW_Notebooks/` directory.

For completeness, the DASWOW dataset itself is provided in:

1) .csv format: f_DASWOW.csv and

2) .pkl format: f_DASWOW.pkl

Both are available in the `DASWOW/` directory.

Original DASWOW dataset and analyses:

The DASWOW dataset and analyses were originally published on Zenodo: https://doi.org/10.5281/zenodo.5635475. It is also accessible in its original repository under the `data-science-code-analysis/features/` directory on Zenodo, where all related analyses of the DASWOW dataset are also published.

Further details and findings are discussed in the original scientific publication: https://link.springer.com/article/10.1007/s10664-022-10229-z

Citation guidelines:

To ensure proper attribution, please cite the relevant works depending on your use:

1. Curated DASWOW Jupyter Notebook Subset

If you use the raw Jupyter notebooks in this curated subset of notebooks (e.g., for further analysis, experiments, or feature extraction), cite the DOI of this curated release: https://doi.org/10.5281/zenodo.17638924 and the original publication: https://link.springer.com/article/10.1007/s10664-022-10229-z along with the citation to the original ~1M notebooks collection by Rule et.al (https://doi.org/10.6075/J0JW8C39).

2. DASWOW dataset and analysis

If your work relies on the DASWOW dataset itself or its analyses, we request that you also cite the original dataset: https://doi.org/10.5281/zenodo.5635475 and the associated publication: https://link.springer.com/article/10.1007/s10664-022-10229-z to acknowledge the foundational work.
DOI: 10.5281/zenodo.17638925
title: DASWOW Jupyter Notebooks Subset

description: DASWOW Jupyter Notebooks Subset

This dataset is a curated subset of 470 Jupyter notebooks extracted from the original collection of ~1M Jupyter Notebooks published by:

Rule, Adam; Tabard, Aurélien; Hollan, James D. (2018): Data from: Exploration and Explanation in Computational Notebooks, UC San Diego Library Digital Collections. https://doi.org/10.6075/J0JW8C39

The subset specifically corresponds to the Jupyter notebooks used in the DASWOW dataset (Data Science Notebooks with Workflow Information) and includes 470 curated Jupyter notebooks, which are located under the `DASWOW/DASWOW_Notebooks/` directory.

For completeness, the DASWOW dataset itself is provided in:

1) .csv format: f_DASWOW.csv and

2) .pkl format: f_DASWOW.pkl

Both are available in the `DASWOW/` directory.

Original DASWOW dataset and analyses:

The DASWOW dataset and analyses were originally published on Zenodo: https://doi.org/10.5281/zenodo.5635475. It is also accessible in its original repository under the `data-science-code-analysis/features/` directory on Zenodo, where all related analyses of the DASWOW dataset are also published.

Further details and findings are discussed in the original scientific publication: https://link.springer.com/article/10.1007/s10664-022-10229-z

Citation guidelines:

To ensure proper attribution, please cite the relevant works depending on your use:

1. Curated DASWOW Jupyter Notebook Subset

If you use the raw Jupyter notebooks in this curated subset of notebooks (e.g., for further analysis, experiments, or feature extraction), cite the DOI of this curated release: https://doi.org/10.5281/zenodo.17638924 and the original publication: https://link.springer.com/article/10.1007/s10664-022-10229-z along with the citation to the original ~1M notebooks collection by Rule et.al (https://doi.org/10.6075/J0JW8C39).

2. DASWOW dataset and analysis

If your work relies on the DASWOW dataset itself or its analyses, we request that you also cite the original dataset: https://doi.org/10.5281/zenodo.5635475 and the associated publication: https://link.springer.com/article/10.1007/s10664-022-10229-z to acknowledge the foundational work.
DOI: 10.15468/dl.wsh42p
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.7688 22.49913, -109.6188 22.49913, -109.6188 22.64913, -109.7688 22.64913, -109.7688 22.49913))"
 ]
}

 The dataset includes 51 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041482-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4dbz3y
title: Occurrence Download

description: A dataset containing 254 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Andrena senecionis",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "HasCoordinate is true"
 ]
}

 The dataset includes 254 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041484-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.