cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.yjqsy6
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029545-250811113504898/datasets/export for details.
DOI: 10.15468/dl.47ymf7
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029544-250811113504898/datasets/export for details.
DOI: 10.22002/e247a-ke937
title: Dataset: C. albicans pseudouridine glycosidase is important for growth in hygromycin stress and for filamentation

description: All transcript chanegs
DOI: 10.22002/v4meh-gwc40
title: Dataset: C. albicans pseudouridine glycosidase is important for growth in hygromycin stress and for filamentation

description: Significant transcript changes
DOI: 10.17909/pveq-mt14
title: And_V WFPC2 observations

description: And_V WFPC2 data used in And_V and And_VI absolute proper-motion study by Casetti-Dinescu et al.
DOI: 10.5281/zenodo.16920242
title: Data and code for: Chewing performance and the structure of primate communities

description: Zipped file includes data and code to re-run analyses presented in the manuscript: "Chewing performance and the structure of primate communities"
DOI: 10.15468/dl.mh8a7z
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029546-250811113504898/datasets/export for details.
DOI: 10.15468/dl.zvs6eb
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salmo salar",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029547-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5u67wc
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salmo salar",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029548-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34894/ohlxme
title: Replication archive Peeters and van Ours (2021) De Economist

description: This record contains the replication archive for the paper "Seasonal Home Advantage in English Professional Football; 1974–2018" by Thomas Peeters and Jan van Ours, which appeared in De Economist in 2021. Please read the explanation file first.
description: This entry is a twenty-nine-file data package totaling 45.1 MB, containing files in .txt, .pdf, .xml, .dta, .log, .xlsx, .png, .gph and .do formats.If you use this dataset, please cite: Peeters, Thomas; van Ours, Jan (2021). Replication archive Peeters and van Ours (2021) De Economist. Erasmus University Rotterdam (EUR). Dataset. https://doi.org/10.25397/eur.13643738
DOI: 10.5281/zenodo.15553999
title: Mapping early human blood cell differentiation using single-cell proteomics and transcriptomics

description: Single-cell transcriptomics (scRNA-seq) has facilitated the characterization of cell state heterogeneity and recapitulation of differentiation trajectories. However, the exclusive use of mRNA measurements comes at the risk of missing important biological information. Here we leveraged recent technological advances in single-cell proteomics by Mass Spectrometry (scp-MS) to generate an scp-MS dataset of an in vivo differentiation hierarchy encompassing over 2,500 human CD34+ hematopoietic stem and progenitor cells. Through integration with scRNA-seq, we identified proteins that are important for stem cell function, which were not indicated by their mRNA transcripts. Further, we showed that modeling translation dynamics can infer cell progression during differentiation and explain substantially more protein variation from mRNA than linear correlation. Our work offers a framework for single-cell multi-omics studies across biological systems.
DOI: 10.5281/zenodo.15554000
title: Mapping early human blood cell differentiation using single-cell proteomics and transcriptomics

description: Single-cell transcriptomics (scRNA-seq) has facilitated the characterization of cell state heterogeneity and recapitulation of differentiation trajectories. However, the exclusive use of mRNA measurements comes at the risk of missing important biological information. Here we leveraged recent technological advances in single-cell proteomics by Mass Spectrometry (scp-MS) to generate an scp-MS dataset of an in vivo differentiation hierarchy encompassing over 2,500 human CD34+ hematopoietic stem and progenitor cells. Through integration with scRNA-seq, we identified proteins that are important for stem cell function, which were not indicated by their mRNA transcripts. Further, we showed that modeling translation dynamics can infer cell progression during differentiation and explain substantially more protein variation from mRNA than linear correlation. Our work offers a framework for single-cell multi-omics studies across biological systems.
DOI: 10.34740/kaggle/dsv/12830697
title: Brain Atlas - AAL32024
DOI: 10.15468/dl.7ttwsj
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029550-250811113504898/datasets/export for details.
DOI: 10.15468/dl.8x7h8a
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029549-250811113504898/datasets/export for details.
DOI: 10.15468/dl.592fdy
title: Occurrence Download

description: A dataset containing 1327257 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Berberidaceae, Montiaceae, Papaveraceae, Ranunculaceae, Oxalidaceae)"
 ]
}

 The dataset includes 1327257 records from 1255 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029530-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/p6e0-dc79
title: And_VI ACS observations

description: And_VI ACS data used in And_V and And_VI absolute proper-motion study by Casetti-Dinescu et al.
DOI: 10.5281/zenodo.16922398
title: Lower Fungom Missong 500 Nouns Wordlist

description: As a point of curiosity, among the 5 Mungbam speech varieties, Missong is the only one with a bà-prefix for class 2 nouns. Missong Mungbam (ISO 639-3: mij, abar1238) language is a Yemne-Kimbi (Good et al 2011) speech variety spoken in Lower Fungom in Menchum Division in the North West Region of Cameroon. The word list is collected from two speakers of Missong: a female and male. There is individual-based variation among the two speakers at level of the tones, prefixes, lexical roots, even concord nuances. The noun class disparities is revealed by the matrix (mx) column determined through noun phrases. One remarkable differences with the Mungbam group is that Missong is the only language that uses the ba-prefix while other members like Abar, Munken, and Biya make use of bə-prefix while Ngun makes us of bɛ̀-prefix. Hence, the Mungbam has three different prefixes for class 2: bə̀-~bà-~bɛ̀-.
DOI: 10.5281/zenodo.16922399
title: Lower Fungom Missong 500 Nouns Wordlist

description: As a point of curiosity, among the 5 Mungbam speech varieties, Missong is the only one with a bà-prefix for class 2 nouns. Missong Mungbam (ISO 639-3: mij, abar1238) language is a Yemne-Kimbi (Good et al 2011) speech variety spoken in Lower Fungom in Menchum Division in the North West Region of Cameroon. The word list is collected from two speakers of Missong: a female and male. There is individual-based variation among the two speakers at level of the tones, prefixes, lexical roots, even concord nuances. The noun class disparities is revealed by the matrix (mx) column determined through noun phrases. One remarkable differences with the Mungbam group is that Missong is the only language that uses the ba-prefix while other members like Abar, Munken, and Biya make use of bə-prefix while Ngun makes us of bɛ̀-prefix. Hence, the Mungbam has three different prefixes for class 2: bə̀-~bà-~bɛ̀-.
DOI: 10.34740/kaggle/dsv/12830704
title: Brain Atlas - AAL32024
DOI: 10.17909/6dc1-9h53
title: Data from Feedback in Emerging extrAgalactic Star clusTers (FEAST)
DOI: 10.5281/zenodo.16814537
title: STING signaling directs cellular fate of conventional dendritic cells

description: Pre-processed single-cell RNA dataset of in vitro bone marrow treated with STING agonist.
DOI: 10.5281/zenodo.16814538
title: STING signaling directs cellular fate of conventional dendritic cells

description: Pre-processed single-cell RNA dataset of in vitro bone marrow treated with STING agonist.
DOI: 10.15468/dl.m2xx2t
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029552-250811113504898/datasets/export for details.
DOI: 10.15468/dl.62vb5f
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029553-250811113504898/datasets/export for details.
DOI: 10.15468/dl.xrenx4
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029554-250811113504898/datasets/export for details.
DOI: 10.25824/redu/jwsu29
title: Evaluation of different types of paper as solid substrates and and their effect on LIBS emission signals

description: This dataset contains raw experimental data acquired with different types of papers were evaluated as a solid substrate for LIBS measurements, aimed at verifying their effects on the emission signals, taking into account their grammage, thickness and metal ions naturally present (minor components/impurities). In the present study ions were used Cu(II) and Mn(II).
DOI: 10.34894/cclctl
title: Replication archive Peeters & Szymanski (2014) Economic Policy

description: This record contains the replication archive for the paper "Financial Fair Play in European Football" by Thomas Peeters and Stefan Szymanski, which appeared in Economic Policy in 2014. Please read the Readme file first, which gives an overview of the files made available and the programs to replicate the results.
description: This entry is a seventy-four-file data package totaling 36.4 MB, containing files in .pdf, .do, .dta, .out and .m formats.If you use this dataset, please cite: Peeters, Thomas; Szymanski, Stefan (2021). Replication archive Peeters & Szymanski (2014) Economic Policy. Erasmus University Rotterdam (EUR). Dataset. https://doi.org/10.25397/eur.13622150
DOI: 10.15468/dl.2bsd6f
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fundulus jenkinsi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 2005"
 ]
}

 The dataset includes 16 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029555-250811113504898/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.29952272
title: Aggregated Descriptive Data on Inclusive and Sustainability-Inclusive Education Literature (2015–2025)

description: This dataset contains aggregated descriptive statistics derived from a systematic review of 2,729 articles on inclusive education (IE) published between 2015 and 2025. This included 357 studies that specifically addressed sustainable inclusive education (SIE). The dataset shows the methods, trends, and gaps in this literature.The data is organized by various dimensions, including:Year of publication: distribution of articles over the entire study period (2015–2025), with partial data for 2025 (through May 19, 2025).Geographic distribution: distribution of publications at country and region level, with a focus on the top 10 countries and aggregated data for "other" countries grouped into five regions (North America, Oceania, Europe, Africa, Asia) to reduce cell sparsity.Research methods: distribution of quantitative, qualitative, and mixed methods.Sample groups: Categorization of study participants into five common groups: Educators, students, students with special needs, school staff, and community stakeholders.Research areas: Distribution across academic disciplines, with the top 10 areas listed. Note that a single publication may belong to multiple research areas.Sustainable Development Goals (SDGs): Classification of articles based on their primary SDG focus, grouped into four clusters: SDG4 (Good Education), Social SDGs (SDG1, 2, 3, 5, 6, 10, 16), Environmental SDGs (SDG12, 13, 14, 15), and Economic SDGs (SDG7, 8, 9, 11, 17).Keywords: The 10 most frequently recurring keywords are listed. Note that keywords may be associated with multiple publications.This dataset serves as a complementary resource to the main research article, and provides detailed descriptive results that support the binomial GLM (logit linkage) analyzes conducted in the study.File information: The dataset is provided in an Excel file named "Aggregated Data.xls".The primary data tables are located on the sheet named "Data".Detailed notes, definitions, and explanations for each category and dimension can be found on the "ReadMe" sheet in the Excel file.This repository also includes the completed PRISMA 2020 Checklist as supplementary material. The checklist provides a transparent account of the reporting standards and methodological rigor followed in this systematic review.
DOI: 10.6084/m9.figshare.29952272.v3
title: Aggregated Descriptive Data on Inclusive and Sustainability-Inclusive Education Literature (2015–2025)

description: This dataset contains aggregated descriptive statistics derived from a systematic review of 2,729 articles on inclusive education (IE) published between 2015 and 2025. This included 357 studies that specifically addressed sustainable inclusive education (SIE). The dataset shows the methods, trends, and gaps in this literature.The data is organized by various dimensions, including:Year of publication: distribution of articles over the entire study period (2015–2025), with partial data for 2025 (through May 19, 2025).Geographic distribution: distribution of publications at country and region level, with a focus on the top 10 countries and aggregated data for "other" countries grouped into five regions (North America, Oceania, Europe, Africa, Asia) to reduce cell sparsity.Research methods: distribution of quantitative, qualitative, and mixed methods.Sample groups: Categorization of study participants into five common groups: Educators, students, students with special needs, school staff, and community stakeholders.Research areas: Distribution across academic disciplines, with the top 10 areas listed. Note that a single publication may belong to multiple research areas.Sustainable Development Goals (SDGs): Classification of articles based on their primary SDG focus, grouped into four clusters: SDG4 (Good Education), Social SDGs (SDG1, 2, 3, 5, 6, 10, 16), Environmental SDGs (SDG12, 13, 14, 15), and Economic SDGs (SDG7, 8, 9, 11, 17).Keywords: The 10 most frequently recurring keywords are listed. Note that keywords may be associated with multiple publications.This dataset serves as a complementary resource to the main research article, and provides detailed descriptive results that support the binomial GLM (logit linkage) analyzes conducted in the study.File information: The dataset is provided in an Excel file named "Aggregated Data.xls".The primary data tables are located on the sheet named "Data".Detailed notes, definitions, and explanations for each category and dimension can be found on the "ReadMe" sheet in the Excel file.This repository also includes the completed PRISMA 2020 Checklist as supplementary material. The checklist provides a transparent account of the reporting standards and methodological rigor followed in this systematic review.
DOI: 10.6084/m9.figshare.29952272.v2
title: Aggregated Descriptive Data on Inclusive and Sustainability-Inclusive Education Literature (2015–2025)

description: This dataset contains aggregated descriptive statistics derived from a systematic review of 2,729 articles on inclusive education (IE) published between 2015 and 2025. This included 357 studies that specifically addressed sustainable inclusive education (SIE). The dataset shows the methods, trends, and gaps in this literature.The data is organized by various dimensions, including:Year of publication: distribution of articles over the entire study period (2015–2025), with partial data for 2025 (through May 19, 2025).Geographic distribution: distribution of publications at country and region level, with a focus on the top 10 countries and aggregated data for "other" countries grouped into five regions (North America, Oceania, Europe, Africa, Asia) to reduce cell sparsity.Research methods: distribution of quantitative, qualitative, and mixed methods.Sample groups: Categorization of study participants into five common groups: Educators, students, students with special needs, school staff, and community stakeholders.Research areas: Distribution across academic disciplines, with the top 10 areas listed. Note that a single publication may belong to multiple research areas.Sustainable Development Goals (SDGs): Classification of articles based on their primary SDG focus, grouped into four clusters: SDG4 (Good Education), Social SDGs (SDG1, 2, 3, 5, 6, 10, 16), Environmental SDGs (SDG12, 13, 14, 15), and Economic SDGs (SDG7, 8, 9, 11, 17).Keywords: The 10 most frequently recurring keywords are listed. Note that keywords may be associated with multiple publications.This dataset serves as a complementary resource to the main research article, and provides detailed descriptive results that support the binomial GLM (logit linkage) analyzes conducted in the study.File information: The dataset is provided in an Excel file named "Aggregated Data.xls".The primary data tables are located on the sheet named "Data".Detailed notes, definitions, and explanations for each category and dimension can be found on the "ReadMe" sheet in the Excel file.This repository also includes the completed PRISMA 2020 Checklist as supplementary material. The checklist provides a transparent account of the reporting standards and methodological rigor followed in this systematic review.
DOI: 10.17909/knfs-te70
title: And_VI WFPC2 observations

description: And_VI WFPC2 data used in And_V and And_VI absolute proper-motion study by Casetti-Dinescu et al.
DOI: 10.15468/dl.sbqz6c
title: Occurrence Download

description: A dataset containing 39726 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Lonicera alpigena"
 ]
}

 The dataset includes 39726 records from 230 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029556-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16922494
title: Balloon-borne Electric Field Meter

description: Data and scripts used to produce the figures in "Balloon-borne Electric Field Meters: Deployment, Demodulation, Tilt, and Charge Retrieval". 

TELEX_raw.zip includes the raw data from a single sounding as part of the TELEX field campaign

LEE_raw.zip includes the raw data from a single sounding as part of the LEE field campaign.  Additional soundings from this project can be found https://doi.org/10.26023/2N8N-D62E-MM01

COMMAS.zip is the output for an electrification allowing covection model, including simulated balloon trajectories through the thunderstorm.  

efmlib.zip is a copy of the efmlib repository, as used in the publication.  Updates to this library are still being made to the git repository https://github.com/deeplycloudy/efmlib
DOI: 10.15468/dl.ajzq9j
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficus benjamina",
 "Country is Micronesia (Federated States of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029557-250811113504898/datasets/export for details.
DOI: 10.15468/dl.h4w9t9
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029558-250811113504898/datasets/export for details.
DOI: 10.15468/dl.jc97f5
title: Occurrence Download

description: A dataset containing 308 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thamnophilus insignis"
 ]
}

 The dataset includes 308 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029560-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7gquu7
title: Occurrence Download

description: A dataset containing 22637 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bombus occidentalis"
 ]
}

 The dataset includes 22637 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029559-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.