cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15064574
title: Supplementary Dataset for "A Novel Weighted Average Ensemble Method for Landslide Susceptibility Mapping"

description: This dataset contains geospatial data used for landslide susceptibility mapping in Yuanyang, China. It includes high-resolution Digital Elevation Models (DEMs), long-term rainfall data, river networks, road networks, soil and lithology data, and Landsat satellite imagery-derived Land Use/Land Cover (LULC) and Normalized Difference Vegetation Index (NDVI). The dataset is structured to support landslide risk assessment and geospatial analysis.
DOI: 10.5281/zenodo.15064575
title: Supplementary Dataset for "A Novel Weighted Average Ensemble Method for Landslide Susceptibility Mapping"

description: This dataset contains geospatial data used for landslide susceptibility mapping in Yuanyang, China. It includes high-resolution Digital Elevation Models (DEMs), long-term rainfall data, river networks, road networks, soil and lithology data, and Landsat satellite imagery-derived Land Use/Land Cover (LULC) and Normalized Difference Vegetation Index (NDVI). The dataset is structured to support landslide risk assessment and geospatial analysis.
DOI: 10.15468/dl.ntu4q5
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alopoglossus theodorusi Ribeiro-Júnior, Meiri & Fouqet, 2020"
 ]
}

 The dataset includes 14 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020530-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rx7gxu
title: Occurrence Download

description: A dataset containing 2272 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Boscia senegalensis Lam.",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 2272 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020531-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6095/gj9w-5h42
title: Data from: Florida Handbook of Habitat Suitability Indices

description: The Habitat Suitability Index (HSI) Library lists the life-stage specific index values, changes made from the original set to the final set of values, and the freshwater habitat classification system used for the cover/substrate codes. The HSI Library is designed to be used in conjunction with the Florida Handbook of Habitat Suitability Indices. It is intended to be a living document in which updates can be made based on new information to promote consistency among users and keep pace with the state of the science.

The overall objective for the Habitat Suitability Index Analysis project was to review the HSIs being used by the Southwest Florida Water Management District (SWFWMD), and to make revisions based on best professional judgement or empirical data collection so that each HSI is representative of the physical characteristics of Florida streams.
DOI: 10.15468/dl.eq65hu
title: Occurrence Download

description: A dataset containing 2586 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen, Occurrence evidence, Material sample, Material citation)",
 "Geometry POLYGON((-6.13682 49.76995,-4.90208 49.76995,-4.90208 50.39026,-6.13682 50.39026,-6.13682 49.76995))",
 "HasGeospatialIssue is false",
 "TaxonKey is Erica cinerea L.",
 "Year 2010-2025"
 ]
}

 The dataset includes 2586 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020532-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.udv68q
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coryphiomorphus hyperboreus Mäklin, 1880",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 56 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020533-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15064797
title: Testdata
DOI: 10.5281/zenodo.15064796
title: Testdata
DOI: 10.26071/656b0f87-59b7-440f
title: Some Health Parameters in Two Populations of Ringed Seals in Eastern Nunavut
title: Quelques paramètres de santé dans deux populations de phoques annelés de l'est du Nunavut

description: The ringed seal (Pusa hispida) is a very important wildlife resource for many Inuit communities in Canada. Through funding from Fisheries and Oceans Canada’s Coastal Environmental Baseline Program and from the Nunavut Research Institute in partnership with Irving Shipbuilding Inc., information on various parameters of animal health was gathered between 2016 and 2018 in two populations of ringed seals (Eclipse Sound and Frobisher Bay) in eastern Nunavut. In collaboration with local Inuit hunters, tissue samples were collected to determine the concentrations of some essential and non-essential trace elements (including cadmium and mercury). Blood samples were also collected to determine the presence of antibodies against some pathogenic microorganisms of potential public health significance. This information will contribute to ensuring the continuous and safe use of ringed seals as a highly nutritious source of food for Inuit communities. Currently, this dataset only contains the occurrence data of ringed seals in the targeted regions as well as some measurements taken on the specimens, such as height, weight, etc. Full data will be made available when the scientific paper is published. This project is part of the Coastal Environmental Baseline Program Initiative under the Oceans Protection Plan of Fisheries and Oceans Canada.
description: Le phoque annelé (Pusa hispida) est une ressource faunique très importante pour plusieurs communautés Inuit au Canada. Grâce au financement du Programme sur les données environnementales côtières de référence de Pêches et Océans Canada et de celui de l’Institut de recherche du Nunavut en partenariat avec Irving Shipbuilding Inc., des informations sur différents paramètres de santé animale ont été accumulées entre 2016 et 2018 dans deux populations de phoques annelés (Eclipse Sound et Baie de Frobisher) dans l’est du Nunavut. En collaboration avec des chasseurs Inuit locaux, des échantillons de tissus ont été collectés pour déterminer les concentrations de certains éléments traces essentiels et non essentiels (incluant le cadmium et le mercure). Des échantillons de sang ont aussi été collectés pour déterminer la présence d’anticorps contre certains microorganismes pathogènes potentiellement importants pour la santé publique. Ces informations vont contribuer à assurer l’utilisation continue et sécuritaire des phoques annelés comme une source de nourriture très nutritive pour les communautés Inuit. Actuellement, ce jeu de données ne contient que les données d'occurrence des phoques annelés dans les régions ciblées ainsi que quelques mesures prises sur les spécimens, comme la taille, le poids, etc. Les données complètes seront rendues disponibles lorsque l'article scientifique sera publié. Ce projet fait partie du Programme sur les données environnementales côtières de référence de Pêches et Océan Canada.
DOI: 10.5281/zenodo.15064764
title: Design and Evaluation of ePub: Enhancing Online Food Ordering for Campus-Based Food Services

description: The digitization of food services has revolutionized the restaurant industry, yet the specific challenges of campus food ordering remain underexplored. This study examines the user experience of ePub, an online food ordering platform designed for a campus-based food service, and compares its perfor- mance against a commercial competitor, Portland Pie. Employing qualitative and quantitative methods, Efficiency, usability, and aesthetic qualities were assessed through tasks completed by eight participants. The results indicate that ePub significantly reduces task completion times and enhances user satisfaction with its straightforward, minimalist design. These findings highlight the importance of tailored design elements—such as intuitive menu navigation and order customization—in enhancing the efficiency of food service platforms for campus environments. This research informs future improvements for digital food ordering systems, emphasizing user-friendly designs to optimize accessibility and operational flow.
DOI: 10.5281/zenodo.15064763
title: Design and Evaluation of ePub: Enhancing Online Food Ordering for Campus-Based Food Services

description: The digitization of food services has revolutionized the restaurant industry, yet the specific challenges of campus food ordering remain underexplored. This study examines the user experience of ePub, an online food ordering platform designed for a campus-based food service, and compares its perfor- mance against a commercial competitor, Portland Pie. Employing qualitative and quantitative methods, Efficiency, usability, and aesthetic qualities were assessed through tasks completed by eight participants. The results indicate that ePub significantly reduces task completion times and enhances user satisfaction with its straightforward, minimalist design. These findings highlight the importance of tailored design elements—such as intuitive menu navigation and order customization—in enhancing the efficiency of food service platforms for campus environments. This research informs future improvements for digital food ordering systems, emphasizing user-friendly designs to optimize accessibility and operational flow.
DOI: 10.5281/zenodo.15064815
title: Design and Evaluation of ePub: Enhancing Online Food Ordering for Campus-Based Food Services

description: The digitization of food services has revolutionized the restaurant industry, yet the specific challenges of campus food ordering remain underexplored. This study examines the user experience of ePub, an online food ordering platform designed for a campus-based food service, and compares its perfor- mance against a commercial competitor, Portland Pie. Employing qualitative and quantitative methods, Efficiency, usability, and aesthetic qualities were assessed through tasks completed by eight participants. The results indicate that ePub significantly reduces task completion times and enhances user satisfaction with its straightforward, minimalist design. These findings highlight the importance of tailored design elements—such as intuitive menu navigation and order customization—in enhancing the efficiency of food service platforms for campus environments. This research informs future improvements for digital food ordering systems, emphasizing user-friendly designs to optimize accessibility and operational flow.
DOI: 10.15468/dl.5q89h7
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation)",
 "Continent is Africa",
 "Country is South Africa",
 "TaxonKey is Papio Erxleben, 1777",
 "Year 2006-2008"
 ]
}

 The dataset includes 143 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020535-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/lj4lyg
title: Events dataset for image sanitization

description: Overview Datasets introduced in "Semi-Supervised Feature Embedding for Data Sanitization in Real-World Events" It includes the links for the images that consist of the five datasets. NotreDame: Remarkable partial destruction of the Parisian Cathedral by a fire in 2019. Grenfell: 2017 tragic fire incident in the Grenfell Tower in London. NationalMuseum: Total destruction of the National Museum in Brazil by flames in 2018. BangladeshFire: Fast-moving fire in a district in Dhaka, that took place in 2019. BostonMarathon: 2013 terrorist attack on the traditional Bostonian event. Observations: We did not publish the links for the positive images for the Grenfell dataset due to copyright reasons. BostonMarathon and Grenfell negative sets are pictures from the Flickr100k dataset. Since BostonMarathon positive samples contain frames from YouTube videos, we published the YouTube video URL and the frame number that was extracted. BostonMarathon positive sample contains augmentations, which are crops sized half of the original image. In this sense, columns i and j indicate the upper-left pixel of the crop. For example, if the image is a × b, the crop will be the square between the points: (j, i), (j + a/2, i), (j, i + b/2), and (j + a/2, i + b/2). Media Content Due to the terms of use from the social networks, we do not make publicly available the texts, images, and videos that were collected (only the links). However, we can provide some additional media content related to one (or more) events upon request by contacting the authors.
DOI: 10.15468/dl.45qwb4
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Copidosoma deceptor Miller, 1958",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020536-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rhdjzh
title: Occurrence Download

description: A dataset containing 3275 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "TaxonKey is Calidris maritima (Brünnich, 1764)",
 "Year 1975-2025"
 ]
}

 The dataset includes 3275 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020537-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p94bh3w0
title: Developmental Stages of Grass Carp (Ctenopharyngodon idella) eggs in the Sandusky River (ver. 3.0, July 2020)

description: Grass Carp Ctenopharyngodon idella was imported to the United States in the 1960s for research into its usefulness as a biocontrol agent for nuisance aquatic vegetation. Escapees and intentionally stocked individuals founded wild, spawning populations in the Mississippi River and tributaries to the Laurentian Great Lakes. USGS-led research on the Sandusky River, a tributary to Lake Erie, demonstrated spawning of Grass Carp in 2015. In 2018, sampling with ichthyoplankton nets in the Sandusky River 11-13 June produced thousands of suspected fertilized Grass Carp eggs. Genetic analysis of 49 eggs identified by microscopic analysis as Grass Carp eggs confirmed all were from GRass Carp, demonstrating 100% accuracy of microscopic analysis. These data include the development stages of the eggs, along with the DNA sequences of a select subset of eggs. We used published keys to estimate developmental stage of eggs, which can be used in conjunction with hydraulic models to predict spawning and hatching locations and with genetic analyses to estimate numbers of spawning adults.
DOI: 10.15468/dl.6x3xsj
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "MediaType is Image",
 "TaxonKey is Chrysolaena lithospermifolia (Hieron.) H.Rob."
 ]
}

 The dataset includes 128 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020539-250310093411724/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.28191122
title: Supplementary data

description: <b>Supplementary data</b> Supplementary data consisting of genotyping data (<i>Pan</i> I, <i>hb</i> b <i>1</i><i> </i>and inversion scoring) as well as metadata for the paper:<b> </b><b>A century of anthropogenic perturbations impact genomic signatures of the iconic </b><b>migratory Atlantic cod</b> by Cecilia Helmerson, Joël M. Durant, Siv Nam Khang Hoff, Marine Servane Ono Brieuc, Paul Ragnar Berg, Per Erik Jorde, Marius Filomeno Maurstad, Ian Bradbury, Olav Sigurd Kjesbu, Jane Aanestad Godiksen, Nils Chr. Stenseth, Bastiaan Star, Kjetill S. Jakobsen, Sissel Jentoft<br><br>
DOI: 10.4121/6737d3a7-cdeb-41d3-b0b2-11915e4b6cec
title: Supplementary data to publication: Investigating the Relationship between Simulation Parameters and Flow Variables in Simulating Atmospheric Gravity Waves in Wind Energy Applications

description: This repository contains analyzed and example raw data acquired fromnumerical simulation of flow over a bell-shaped hill (WOA) and through wind farm canopy (WFC) under idealized linearly stratified temperature conditions.A simulation setup of each scenario from SOWFA-6, the large eddy simulation code used for this study, is also provided.The analyzed data is numerical results, mainly line plots, presented in the manuscript titled"Investigating the Relationship between Simulation Parameters and Flow Variables in Simulating Atmospheric Gravity Waves in Wind Energy Applications".The folder tree and the data contained in it are described below.<br>anlysed_data: A .xlsx file containing 4 sheets containing the data and line plots in the journal article.example_code_data: A set of .vtk files each containing the velocity field for the WOA scenario, and a jupyter notebook that reads these files for estimatingreflection coefficient (Cr) and relative-root mean square error (R-RMSE) from the vertical velocity component.example_setups: Example model setup files from SOWFA-6, one each for WOA and WFC simulations under linearly stratified conditions, and a successor WFC case for conventionally neutral boundary layer conditions from TOSCA.
DOI: 10.4121/6737d3a7-cdeb-41d3-b0b2-11915e4b6cec.v1
title: Supplementary data to publication: Investigating the Relationship between Simulation Parameters and Flow Variables in Simulating Atmospheric Gravity Waves in Wind Energy Applications

description: This repository contains analyzed and example raw data acquired fromnumerical simulation of flow over a bell-shaped hill (WOA) and through wind farm canopy (WFC) under idealized linearly stratified temperature conditions.A simulation setup of each scenario from SOWFA-6, the large eddy simulation code used for this study, is also provided.The analyzed data is numerical results, mainly line plots, presented in the manuscript titled"Investigating the Relationship between Simulation Parameters and Flow Variables in Simulating Atmospheric Gravity Waves in Wind Energy Applications".The folder tree and the data contained in it are described below.<br>anlysed_data: A .xlsx file containing 4 sheets containing the data and line plots in the journal article.example_code_data: A set of .vtk files each containing the velocity field for the WOA scenario, and a jupyter notebook that reads these files for estimatingreflection coefficient (Cr) and relative-root mean square error (R-RMSE) from the vertical velocity component.example_setups: Example model setup files from SOWFA-6, one each for WOA and WFC simulations under linearly stratified conditions, and a successor WFC case for conventionally neutral boundary layer conditions from TOSCA.
DOI: 10.15468/dl.5npp4v
title: Occurrence Download

description: A dataset containing 115788 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Senecio ovatus (G.Gaertn., E.Mey. & Scherb.) Willd."
 ]
}

 The dataset includes 115788 records from 492 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020534-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/pxtwrd
title: Social media tweets pro and anti Bolsonaro

description: Overview Social media platforms have an important role in Brazilian society's polarization. Especially during the COVID-19 pandemic (2020–2021), these platforms experienced a peak of posts about President Bolsonaro's speeches and behavior during this period. On the one hand, millions of people supported Bolsonaro's attitudes and followed his controversial guidance. On the other hand, a vast number of social media users accused Bolsonaro of acting against democracy and science. In this context, this dataset presents a collection of tweet posts and their linked news articles (including all related media), covering two Brazilian demonstration events PRO and AGAINST President Bolsonaro's government, during September 7th and October 2nd of 2021. The dataset contains 4.7 million tweets. Data Collection We used the library Fake-News Crawler to collect the tweet posts and related media. For this, we provided keywords related to both events to capture the data during the events and following days. For instance, some of the keywords used were: 7deSet, BolsonaroAte2026, VemParaRua, EleNao, 07EuVou, SupremoÉOPovo, aculpaédobolsonaro, 2outeuvou. Disclaimer: We did not perform any filtering or procedure to assert that all collected data is, in fact, related to the demonstrations; therefore, some of the content of the dataset might not be related to these events. Content brazilian_demonstration_events.json: It contains the tweet posts, their metadata (e.g., post time, language), and all related media content URLs (i.e., news article links and media links). Media Content Due to the terms of use from the social networks, we do not make publicly available the images and videos that were collected. However, we can provide some extra pieces of media content related to one (or more) events by contacting the authors.
DOI: 10.5066/p90bidol
title: Image and biometric data for fish from Great Lakes tributaries collected during spring 2019

description: Image and biometric data were collected for 22 species of fish from Great Lakes Tributaries in Michigan and Ohio, and the Illinois River for the purpose of developing a fish identification classifier. Data consists of a comma delimited spreadsheet that identifies image file names and associated fish identification number, common name, species code, family name, genus, and species, date collected, river from which each fish was collected, location of sampling, fish fork length in millimeters, girth in millimeters, weight in kilograms, and personnel involved with image collection. Biometric data are saved as .csv comma delimited format and image files are saved as .png file type.
DOI: 10.15468/dl.9j67r4
title: Occurrence Download

description: A dataset containing 478 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "TaxonKey is Philomachus pugnax (Linnaeus, 1758)",
 "Year 1975-2025"
 ]
}

 The dataset includes 478 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020540-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.