cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17694535
title: Gridded Daily Sea Ice Velocity in the Northern Hemisphere

description: The sea ice velocity is derived from AMSR-E and AMSR2 brightness temperature data:36 GHz channels for January–April and December18 GHz channels for May–NovemberThe velocity fields are computed using the maximum cross-correlation method.The size of the template window used in the calculation is 60 × 60 km (6 × 6 pixels).

File Naming

YYMMDD.amsr36i (January–April, December)YYMMDD.amsr18i (May–November)Here, YYMMDD indicates the year, month, and day.

Format

Plain binary

Ice velocity is stored on a 145 × 145 grid with a 60 km spacing.The grid origin (point 1,1) is located at the upper-left, and point 145,145 is the lower-right.

For each grid cell, two variables are stored in the following order:u(1,1), v(1,1), u(2,1), v(2,1), ..., u(145,145), v(145,145)

u: ice speed in the x-direction (not the east–west direction)v: ice speed in the y-direction (not the north–south direction)

Each value is stored as a 4-byte real in units of cm/s.

Latitude and longitude for each grid point are provided latlon_amsr_ads145.txt in the format:i, j, latitude(i,j), longitude(i,j)

Coverage

2003-01-01 to 2011-09-272012-07-03 to 2025-07-01
DOI: 10.5281/zenodo.17694536
title: Gridded Daily Sea Ice Velocity in the Northern Hemisphere

description: The sea ice velocity is derived from AMSR-E and AMSR2 brightness temperature data:36 GHz channels for January–April and December18 GHz channels for May–NovemberThe velocity fields are computed using the maximum cross-correlation method.The size of the template window used in the calculation is 60 × 60 km (6 × 6 pixels).

File Naming

YYMMDD.amsr36i (January–April, December)YYMMDD.amsr18i (May–November)Here, YYMMDD indicates the year, month, and day.

Format

Plain binary

Ice velocity is stored on a 145 × 145 grid with a 60 km spacing.The grid origin (point 1,1) is located at the upper-left, and point 145,145 is the lower-right.

For each grid cell, two variables are stored in the following order:u(1,1), v(1,1), u(2,1), v(2,1), ..., u(145,145), v(145,145)

u: ice speed in the x-direction (not the east–west direction)v: ice speed in the y-direction (not the north–south direction)

Each value is stored as a 4-byte real in units of cm/s.

Latitude and longitude for each grid point are provided latlon_amsr_ads145.txt in the format:i, j, latitude(i,j), longitude(i,j)

Coverage

2003-01-01 to 2011-09-272012-07-03 to 2025-07-01
DOI: 10.5281/zenodo.17695391
title: SARS-CoV-2 Infektionen in Deutschland

description: Im Datensatz "SARS-CoV-2 Infektionen in Deutschland" des Robert Koch-Instituts werden die Daten basierend auf Meldungen zu SARS-CoV-2 Infektionen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Darin enthalten sind Informationen auf Landkreisebene zu bestätigten Infektionen, Todesfällen und Genesungen, differenziert nach Altersgruppen und Geschlecht. Diese Daten dienen als Grundlage für epidemiologische Bewertungen und gesundheitspolitische Maßnahmen.
DOI: 10.21227/tag3-k180
title: "PR-IHC-40X: Progesterone Receptor Immunohistochemistry Dataset for Breast Cancer Diagnosis"

description: "PR-IHC-40x dataset comprises a high-resolution collection of regions of interest (ROI) images and corresponding ground truth (GT) annotation for progesterone receptor (PR) immunohistochemistry (IHC) analysis in breast cancer pathology. We obtained 50 glass slides from University Malaya Medical Centre (UMMC) and digitized to whole slide images (WSIs) at 40\u00d7 magnification using a 3DHistech Pannoramic DESK scanner. Pathologists annotated ROIs on the collaborative Cytomine platform that formed the basis of dataset extraction. Ground truth masks were generated in a multi-stage process, binary nuclei masks for segmentations were first created with a StarDist deep learning model and refined by manual correction, while classification ground truth were first determined using a CNN-based approach and then modified by diaminobenzidine (DAB) intensity thresholding to four expression classes\u2014Strong (red), Moderate (yellow), Weak (green), and Negative (blue). The classification outputs were re-corrected in a loop against pathologists' feedback and manually checked results. There were approximately 32,000 nuclei within 250 ROI images that were manually checked and validated by senior pathologists individually. Each ROI comes with its binary segmentation mask and four-class color annotations, which are a reliable dataset for deep learning research on nuclei segmentation, PR expression classification, and Allred scoring."
DOI: 10.15468/dl.ebjjk7
title: Occurrence Download

description: A dataset containing 552 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "Geometry POLYGON((-78.43865 -7.25081,-77.83904 -7.25081,-77.83904 -6.51528,-78.43865 -6.51528,-78.43865 -7.25081))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Turdus chiguanco",
 "Year 2022-2025"
 ]
}

 The dataset includes 552 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005085-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15091642
title: Code and data for: Analysing the distribution of SARS-CoV-2 infections in schools: comparing model predictions with real-world observations

description: The submission contains the MATLAB source code and associated datasets for the manuscript submitted to Proceedings of the Royal Society A: Mathematical, Physical, and Engineering Sciences, titled: Analysing the distribution of SARS-CoV-2 infections in schools: comparing model predictions with real-world observations

Detailed instructions about the contents of the code and instructions to run it are provided in the Readme file. 

Please download the latest version (v6) of the code.
DOI: 10.5281/zenodo.17695359
title: Code and data for: Analysing the distribution of SARS-CoV-2 infections in schools: comparing model predictions with real-world observations

description: The submission contains the MATLAB source code and associated datasets for the manuscript submitted to Proceedings of the Royal Society A: Mathematical, Physical, and Engineering Sciences, titled: Analysing the distribution of SARS-CoV-2 infections in schools: comparing model predictions with real-world observations

Detailed instructions about the contents of the code and instructions to run it are provided in the Readme file. 

Please download the latest version (v6) of the code.
DOI: 10.15468/dl.rgknqu
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((75.35013 49.05132,76.658 50.46839,71.25774 51.71373,68.72637 49.49175,71.93277 47.84811,75.39232 48.94059,75.35013 49.05132))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Diptera",
 "Year 2015-2025"
 ]
}

 The dataset includes 37 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005087-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4v88gf
title: Occurrence Download

description: A dataset containing 506 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Diptera",
 "Year 2015-2025"
 ]
}

 The dataset includes 506 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005086-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17582807
title: Likelihood of species threat from international trade

description: This dataset provides an update to Challender et al. (2023) and uses an automated approach to categorise species as either ‘likely’ (L) or ‘unlikely’ (U) to be threatened by international trade, or as having insufficient information to determine the likelihood of this threat (I) based on the species’ global IUCN Red List assessment. 

Methods and accompanying R script are available via GitHub at https://github.com/AlyPavitt/RL_IntTradeThreat.

The data on higher taxonomy and range States (only native and extant range States are shown) are derived from the IUCN Red List of Threatened Species and the CITES Appendix is derived from Species+.
DOI: 10.5281/zenodo.17582808
title: Likelihood of species threat from international trade

description: This dataset provides an update to Challender et al. (2023) and uses an automated approach to categorise species as either ‘likely’ (L) or ‘unlikely’ (U) to be threatened by international trade, or as having insufficient information to determine the likelihood of this threat (I) based on the species’ global IUCN Red List assessment. 

Methods and accompanying R script are available via GitHub at https://github.com/AlyPavitt/RL_IntTradeThreat.

The data on higher taxonomy and range States (only native and extant range States are shown) are derived from the IUCN Red List of Threatened Species and the CITES Appendix is derived from Species+.
DOI: 10.15468/dl.5jyw5x
title: Occurrence Download

description: A dataset containing 3848 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is one of (Asia, Africa)",
 "Geometry POLYGON((-20.93555 -42.9354,159.34345 -42.9354,159.34345 48.89636,-20.93555 48.89636,-20.93555 -42.9354))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cynodon dactylon"
 ]
}

 The dataset includes 3848 records from 154 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005088-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17695399
title: Figure dataset
DOI: 10.5281/zenodo.17695400
title: Figure dataset
DOI: 10.15468/dl.f7zmgu
title: Occurrence Download

description: A dataset containing 37144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thuja occidentalis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 37144 records from 445 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005089-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1129178
title: Images and a Report from a Historic Building Recording Survey at Hollis Croft/Broad Lane, Sheffield, February-March 2023

description: This collection comprises images and a report from a historic building recording at the junction between Hollis Croft and Broad Lane, Sheffield, South Yorkshire, in advance of the proposed demolition of two historic buildings. The work was undertaken between February and March 2023 by York Archaeology who was commissioned by Bricks Group.
DOI: 10.6084/m9.figshare.29126282
title: all genes expression of <i>B. mori</i> and <i>N. bombycis</i> in diapause silkworm embryos and larvae

description: These tables show the gene expression patterns (fpkm)of diapause silkworm embryos and larvae that were congenitally infected with <i>N. bombycis</i>, and the gene expression patterns (fpkm) of<i> N. bombycis</i> in diapause silkworm embryos and larvae.
DOI: 10.15468/dl.safg8u
title: Occurrence Download

description: A dataset containing 16498 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Medicago falcata",
 "Country is Germany",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year 1980-2025",
 {
 "or" : [
 "StateProvince is null",
 "StateProvince is Bayern"
 ]
 }
 ]
}

 The dataset includes 16498 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031921-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/sydwsxm83c
title: Science Knowledge Test

description: This dataset contain English version of the science knowledge test (one file), and Indonesian version of the test in each topic and each grade
DOI: 10.17632/sydwsxm83c.1
title: Science Knowledge Test

description: This dataset contain English version of the science knowledge test (one file), and Indonesian version of the test in each topic and each grade
DOI: 10.17632/cp4xd5hbtb
title: The Role of Corporate Governance and Executive Compensation Towards Company Greenwashing Behavior in Asean

description: This dataset underpins the study “The Role of Corporate Governance and Executive Compensation Towards Company Greenwashing Behavior in ASEAN.” It is a firm-year panel of listed companies from five ASEAN markets (Indonesia, Malaysia, Philippines, Singapore, Thailand) covering 2014–2024. The dataset includes raw governance and financial fields (sourced from Refinitiv) and analysis-ready constructed variables used in the paper: a greenwashing proxy (ESG score minus controversy-adjusted ESG score), board structure metrics (size, independence, gender diversity, including a critical mass ≥30% indicator), an ESG-linked executive compensation dummy, standard controls (firm size, leverage, ROA, market-to-book), and CO₂ emissions (annual, plus log transform).
The main estimation sample after standard availability filters contains 2,308 firm-year observations; a CO₂ subsample used in robustness contains 1,971 firm-years. All specifications in the paper use industry and year fixed effects; standard errors are clustered at the firm level. A small set of variables (ROA, leverage, MTB, log CO₂) are winsorized at the 1st–99th percentile for robustness, with original (non-winsorized) versions retained.
DOI: 10.17632/cp4xd5hbtb.1
title: The Role of Corporate Governance and Executive Compensation Towards Company Greenwashing Behavior in Asean

description: This dataset underpins the study “The Role of Corporate Governance and Executive Compensation Towards Company Greenwashing Behavior in ASEAN.” It is a firm-year panel of listed companies from five ASEAN markets (Indonesia, Malaysia, Philippines, Singapore, Thailand) covering 2014–2024. The dataset includes raw governance and financial fields (sourced from Refinitiv) and analysis-ready constructed variables used in the paper: a greenwashing proxy (ESG score minus controversy-adjusted ESG score), board structure metrics (size, independence, gender diversity, including a critical mass ≥30% indicator), an ESG-linked executive compensation dummy, standard controls (firm size, leverage, ROA, market-to-book), and CO₂ emissions (annual, plus log transform).
The main estimation sample after standard availability filters contains 2,308 firm-year observations; a CO₂ subsample used in robustness contains 1,971 firm-years. All specifications in the paper use industry and year fixed effects; standard errors are clustered at the firm level. A small set of variables (ROA, leverage, MTB, log CO₂) are winsorized at the 1st–99th percentile for robustness, with original (non-winsorized) versions retained.
DOI: 10.17632/93nryjvxz4
title: Long-term efficacy of continuous baricitinib treatment in patients with severe alopecia areata: 3-year results from BRAVE-AA1 and BRAVE-AA2; Supplementary Material

description: Supplementary Material associated with the manuscript Long-term efficacy of continuous baricitinib treatment in patients with severe alopecia areata: 3-year results from BRAVE-AA1 and BRAVE-AA2 published in JAAD.
DOI: 10.17632/93nryjvxz4.1
title: Long-term efficacy of continuous baricitinib treatment in patients with severe alopecia areata: 3-year results from BRAVE-AA1 and BRAVE-AA2; Supplementary Material

description: Supplementary Material associated with the manuscript Long-term efficacy of continuous baricitinib treatment in patients with severe alopecia areata: 3-year results from BRAVE-AA1 and BRAVE-AA2 published in JAAD.
DOI: 10.3886/e240276v1
title: HIFLD OPEN - Flowline - Small Scale (HI, PR, VI, Pacific Territories)

description: The USGS National Hydrography Dataset (NHD) service from The National Map is a comprehensive set of digital spatial data that encodes information about naturally occurring and constructed bodies of surface water (lakes, ponds, and reservoirs), paths through which water flows (canals, ditches, streams, and rivers), and related entities such as point features (springs, wells, stream gages, and dams). The information encoded about these features includes classification and other characteristics, delineation, geographic name, position and related measures, a "reach code" through which other information can be related to the NHD, and the direction of water flow. The network of reach codes delineating water and transported material flow allows users to trace movement in upstream and downstream directions. In addition to this geographic information, the dataset contains metadata that supports the exchange of future updates and improvements to the data. The NHD is available nationwide in two seamless datasets, one based on 1:24,000 (or larger) scale and referred to as high resolution NHD, and the other based on 1:100,000 scale and referred to as medium resolution NHD. The NHD from The National Map supports many applications, such as making maps, geocoding observations, flow modeling, data maintenance, and stewardship. The NHD is commonly combined with other data themes, such as boundaries, elevation, structures, and transportation, to produce general reference base maps. The National Map download client allows free downloads of public domain NHD data in either Esri File Geodatabase or Shapefile formats. For additional information on the NHD, go to https://www.usgs.gov/national-hydrography/national-hydrography-dataset. See https://apps.nationalmap.gov/help/ for assistance with The National Map viewer, download client, services, or metadata. Data Refreshed January, 2024.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025.
DOI: 10.17632/zkzh3xcwc3
title: Impact of digital economy on innovation and entrepreneurship: Evidence from China

description: Used to reproduce the following study: Impact of digital economy on innovation and entrepreneurship: Evidence from China
DOI: 10.17632/zkzh3xcwc3.1
title: Impact of digital economy on innovation and entrepreneurship: Evidence from China

description: Used to reproduce the following study: Impact of digital economy on innovation and entrepreneurship: Evidence from China
DOI: 10.17632/9kvv7bv25m.3
title: Food Restriction Patterns and Their Impact on Growth and Nutrition in Chinese Pediatric Atopic Dermatitis: A Cross-Sectional Study

description: Supplemental material for "Food Restriction Patterns and Their Impact on Growth and Nutrition in Chinese
Pediatric Atopic Dermatitis: A Cross-Sectional Study"
DOI: 10.17632/2r533d2rhs
title: Sentiment Analysis of Burger King Indonesia App Review using Latent Dirichlet Allocation

description: This study aims to provide an analysis of consumer reviews of the Burger King Indonesia app. Technological advances have encouraged fast food restaurants to develop online delivery apps. This study was analyzed using data mining methods, RapidMiner, sentiment analysis, and LDA topic modeling to identify themes and topics that emerge from consumer reviews. This study also uses the CRISP-DM (Cross-Industry Standard Process for Data Mining) method to analyze data and manage data mining. The use of sentiment analysis helps in processing reviews, while the Latent Dirichlet Allocation (LDA) algorithm and RapidMiner can identify topics that will emerge in consumer reviews. The main results obtained in this study identified six main themes, namely: ease of service, customer experience, brand image, varied menu options, product quality, and applications. A total of 1066 reviews were collected from 2020 to 2024. The identified topics can be improved by enhancing the application service, improving service to maintain customer experience, building a strong brand image, creating new innovations in products, and improving the Burger King Indonesia application.
DOI: 10.17632/2r533d2rhs.3
title: Sentiment Analysis of Burger King Indonesia App Review using Latent Dirichlet Allocation

description: This study aims to provide an analysis of consumer reviews of the Burger King Indonesia app. Technological advances have encouraged fast food restaurants to develop online delivery apps. This study was analyzed using data mining methods, RapidMiner, sentiment analysis, and LDA topic modeling to identify themes and topics that emerge from consumer reviews. This study also uses the CRISP-DM (Cross-Industry Standard Process for Data Mining) method to analyze data and manage data mining. The use of sentiment analysis helps in processing reviews, while the Latent Dirichlet Allocation (LDA) algorithm and RapidMiner can identify topics that will emerge in consumer reviews. The main results obtained in this study identified six main themes, namely: ease of service, customer experience, brand image, varied menu options, product quality, and applications. A total of 1066 reviews were collected from 2020 to 2024. The identified topics can be improved by enhancing the application service, improving service to maintain customer experience, building a strong brand image, creating new innovations in products, and improving the Burger King Indonesia application.
DOI: 10.25574/26854
title: Chandra X-ray Observatory ObsId 26854

description: Testing the M_BH-M_Bulge Relation with Radio-Selected Low Surface Brightness Galaxies
DOI: 10.17632/rjw7b93n2j
title: In-School Leisure Reading Increases Reading Motivation: Results from an Adolescent Quasi-Experimental Study

description: Student-level data from Chile. Pre and post measures for reading motivation and reading amount.
DOI: 10.25574/26859
title: Chandra X-ray Observatory ObsId 26859

description: X-ray confirmation of optically selected IMBH-powered AGN and high-resolution imaging of their host galaxies
DOI: 10.17632/rjw7b93n2j.2
title: In-School Leisure Reading Increases Reading Motivation: Results from an Adolescent Quasi-Experimental Study

description: Student-level data from Chile. Pre and post measures for reading motivation and reading amount.
DOI: 10.17632/6g92c2cdzz
title: Pathophysiology of Enteric Hyperoxaluria in the SAMP1/YitFc mouse model

description: Data registry for manuscript submission
DOI: 10.17632/6g92c2cdzz.1
title: Pathophysiology of Enteric Hyperoxaluria in the SAMP1/YitFc mouse model

description: Data registry for manuscript submission
DOI: 10.15468/dl.aqbrrb
title: Occurrence Download

description: A dataset containing 349531 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Herbario Nacional Colombiano (COL)"
 ]
}

 The dataset includes 349531 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009591-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.