cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25824/redu/kawr2l
title: Feature learning from image markers meets cellular automata

description: This repository holds the data of the MSc thesis in Computer Science, defended on 21st July 2025, entitled "Feature Learning from Image Markers meets Cellular Automata". The repository contains the code to replicate the entire proposed method as well as sample data that enables any user to implement it. Moreover, instructions to download the complete datasets used in the study are provided. The method allows for the use of the Feature Learning from Image Markers methodology to initialize Cellular Automata.
DOI: 10.15468/dl.g5ar96
title: Occurrence Download

description: A dataset containing 6749 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Indigofera spicata"
 ]
}

 The dataset includes 6749 records from 219 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022443-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h7frfr
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022446-250827131500795/datasets/export for details.
DOI: 10.15468/dl.rmvq25
title: Occurrence Download

description: A dataset containing 15041 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aphis gossypii"
 ]
}

 The dataset includes 15041 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022445-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tu2m8j
title: Occurrence Download

description: A dataset containing 139299 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tinamiformes",
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 139299 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022378-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/3310102801-eng
title: Level of impact of tariffs or trade barriers on business or organization, third quarter of 2025

description: Level of impact of tariffs or trade barriers on business or organization, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, third quarter of 2025.
DOI: 10.15468/dl.dtdwnf
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euclidium syriacum",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022448-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vpxc4t
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.28_1",
 "TaxonKey is Kalidium cuspidatum"
 ]
}

 The dataset includes 49 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022447-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5258/soton/wp00782
title: Modelled gridded population estimates for Nigeria 2025 (version 3.0)

description: This data release provides gridded population estimates (at spatial resolution of 3 arc-seconds, approximately 100-metre grid cells) for Nigeria, along with the estimates of the number of people belonging to various age and sex groups. Using robust Bayesian statistical hierarchical modelling framework, population modelling and estimation experts from WorldPop (www.worldpop.org) at the University of Southampton combined ‘head count’ (input population) datasets obtained from the 2022-23 National Malaria Elimination Program (NMEP) with settlement footprint and geospatial covariates to estimate population numbers at high-resolution grid cells. The approach facilitated accounting for the multiple levels of variability within the data, while simultaneously quantifying uncertainties in the parameter estimates. After capturing the spatial variability of population, the modelled estimates were scaled based on the UN WPP July 2025 median national population projections. 
These data were produced by the WorldPop Research Group at the University of Southampton as part of the GRID3 – Phase 2 Scaling project, with funding from the Bill and Melinda Gates Foundation (INV-044979). Project partners included the GRID3 Inc., the Center for Integrated Earth System Information (CIESIN) within the Columbia Climate School at Columbia University, and WorldPop at the University of Southampton. The final statistical modelling was designed, developed, and implemented by Chris Nnanatu supported by Assane Gadiaga. Data processing was done by Assane Gadiaga with additional support from Attila Lazar, Tom Abbott and Heather Chamberlain. Project oversight was done by Attila Lazar and Andy Tatem. The NMEP shared household bednet distribution data along with the location of the households. The settlement footprint data was prepared and shared by CIESIN.
DOI: 10.34740/kaggle/dsv/12950418
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.gya882
title: Occurrence Download

description: A dataset containing 2725 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Centaurea cephalariifolia"
 ]
}

 The dataset includes 2725 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022450-250827131500795/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.19354937
title: Supplementary Tables - Four new stink bug mitogenomes corroborate the internal inconsistencies in the classification of Pentatomidae (Hemiptera)

description: Stink bugs (Pentatomidae) are a speciose group of insects that feed mostly on plants. Many species are considered agricultural pests of economically important crops around the globe. Mitochondrial genomes are valuable for evolutionary and phylogenetic studies, but have been little explored for Pentatomidae. Here, we assembled and annotated the mitochondrial genomes of four pentatomid species (Diceraeus melacanthus, Euschistus heros, Piezodorus guildinii, and Stiretrus anchorago) and performed a comparative analysis for this family and its subfamilies. Stink bug mitogenomes disclosed a conserved gene order and content, although we detected two uncommon armless tRNAs in E. heros and D. melacanthus. Phylogenetic results indicate that Pentatominae is polyphyletic, showing that internal relationships of Pentatomidae should be further investigated. Stink bug mitochondrial genes are under strong purifying selection, except for ATP8 which showed signs of positive selection.
DOI: 10.6084/m9.figshare.19354937.v1
title: Supplementary Tables - Four new stink bug mitogenomes corroborate the internal inconsistencies in the classification of Pentatomidae (Hemiptera)

description: Stink bugs (Pentatomidae) are a speciose group of insects that feed mostly on plants. Many species are considered agricultural pests of economically important crops around the globe. Mitochondrial genomes are valuable for evolutionary and phylogenetic studies, but have been little explored for Pentatomidae. Here, we assembled and annotated the mitochondrial genomes of four pentatomid species (Diceraeus melacanthus, Euschistus heros, Piezodorus guildinii, and Stiretrus anchorago) and performed a comparative analysis for this family and its subfamilies. Stink bug mitogenomes disclosed a conserved gene order and content, although we detected two uncommon armless tRNAs in E. heros and D. melacanthus. Phylogenetic results indicate that Pentatominae is polyphyletic, showing that internal relationships of Pentatomidae should be further investigated. Stink bug mitochondrial genes are under strong purifying selection, except for ATP8 which showed signs of positive selection.
DOI: 10.5066/p94ba7ro
title: Dataset for mineral resource inventory of North Dakota

description: This data release contains the geospatial resources that were used by the USGS to compile the mineral resource inventory for the state of North Dakota, developed by the Mineral Resource Program (MRP) staff of the U.S. Geological Survey (USGS) at the request of the Bureau of Land Management (BLM). The mineral resources inventory was published as a USGS open-file report and can be accessed at https://doi.org/10.3133/ofr20211057. Commodities considered under this inventory include Critical Minerals as listed in the Federal Register (May 18, 2018), along with sodium sulfate, frac or proppant sand, bentonite and ceramic-grade kaolinite. Other selected leasable and salable mineral commodities were also inventoried, based on information provided to the USGS by BLM. This data release includes published GIS data and their accompanying original metadata, along with GIS data sourced from publications that was created for use with this minerals inventory investigation. The following numbered folders are included: ?1_Georeferenced_TIFs?: georeferenced images used for locating, identifying and creating vector data representing those mineral assets that were herein inventoried; ?2_Minerals_databases?: national mineral databases available in digital format, LR2000, MRDS, USMIN?North Dakota-related data, and NDAML (North Dakota Abandoned Mine Land); ?3_NDGISHUB?: a digital geologic map of North Dakota, and ?4_Feature_ classes?: feature classes digitized by the authors and used to visually represent the distribution of the mineral assets being inventoried. Note that the feature classes in the ?4_Feature_ classes? folder do not contain individual metadata files - all descriptive information for them can be found in the "ND_metadata.xml" metadata file.
DOI: 10.5281/zenodo.6353515
title: Data Responden Keputusan Pembelian Pelanggan E-commerce berdasarkan Konten TikTok

description: The data of respondents' answers for research of Customer's Purchase Decisions on e-commerce Influenced by TikTok Contents. We remove the private information such as name, age, universities, and gender. We only store the questions and the answers. The data is in the form of a CSV file.
DOI: 10.5281/zenodo.6353514
title: Data Responden Keputusan Pembelian Pelanggan E-commerce berdasarkan Konten TikTok

description: The data of respondents' answers for research of Customer's Purchase Decisions on e-commerce Influenced by TikTok Contents. We remove the private information such as name, age, universities, and gender. We only store the questions and the answers. The data is in the form of a CSV file.
DOI: 10.6084/m9.figshare.17054033
title: Modeling Pregnancy Outcomes Through Sequentially Nested Regression Models

description: The polycystic ovary syndrome (PCOS) is a most common cause of infertility among women of reproductive age. Unfortunately, the etiology of PCOS is poorly understood. Large-scale clinical trials for pregnancy in polycystic ovary syndrome (PPCOS) were conducted to evaluate the effectiveness of treatments. Ovulation, pregnancy, and live birth are three sequentially nested binary outcomes, typically analyzed separately. However, the separate models may lose power in detecting the treatment effects and influential variables for live birth, due to decreased sample sizes and unbalanced event counts. It has been a long-held hypothesis among the clinicians that some of the important variables for early pregnancy outcomes may continue their influence on live birth. To consider this possibility, we develop an l0-norm based regularization method in favor of variables that have been identified from an earlier stage. Our approach explicitly bridges the connections across nested outcomes through computationally easy algorithms and enjoys theoretical guarantee of estimation and variable selection. By analyzing the PPCOS data, we successfully uncover the hidden influence of risk factors on live birth, which confirm clinical experience. Moreover, we provide novel infertility treatment recommendations (e.g., letrozole vs. clomiphene citrate) for women with PCOS to improve their chances of live birth. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.17054033.v2
title: Modeling Pregnancy Outcomes Through Sequentially Nested Regression Models

description: The polycystic ovary syndrome (PCOS) is a most common cause of infertility among women of reproductive age. Unfortunately, the etiology of PCOS is poorly understood. Large-scale clinical trials for pregnancy in polycystic ovary syndrome (PPCOS) were conducted to evaluate the effectiveness of treatments. Ovulation, pregnancy, and live birth are three sequentially nested binary outcomes, typically analyzed separately. However, the separate models may lose power in detecting the treatment effects and influential variables for live birth, due to decreased sample sizes and unbalanced event counts. It has been a long-held hypothesis among the clinicians that some of the important variables for early pregnancy outcomes may continue their influence on live birth. To consider this possibility, we develop an l0-norm based regularization method in favor of variables that have been identified from an earlier stage. Our approach explicitly bridges the connections across nested outcomes through computationally easy algorithms and enjoys theoretical guarantee of estimation and variable selection. By analyzing the PPCOS data, we successfully uncover the hidden influence of risk factors on live birth, which confirm clinical experience. Moreover, we provide novel infertility treatment recommendations (e.g., letrozole vs. clomiphene citrate) for women with PCOS to improve their chances of live birth. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.17054033.v1
title: Modeling Pregnancy Outcomes through Sequentially Nested Regression Models

description: The polycystic ovary syndrome (PCOS) is a most common cause of infertility among women of reproductive age. Unfortunately, the etiology of PCOS is poorly understood. Large scale clinical trials for Pregnancy in Polycystic Ovary Syndrome (PPCOS) were conducted to evaluate the effectiveness of treatments. Ovulation, pregnancy, and live birth are three sequentially nested binary outcomes, typically analyzed separately. However, the separate models may lose power in detecting the treatment effects and influential variables for live birth, due to decreased sample sizes and unbalanced event counts. It has been a long-held hypothesis among the clinicians that some of the important variables for early pregnancy outcomes may continue their influence on live birth. To consider this possibility, we develop an ℓ0-norm based regularization method in favor of variables that have been identified from an earlier stage. Our approach explicitly bridges the connections across nested outcomes through computationally easy algorithms and enjoys theoretical guarantee of estimation and variable selection. By analyzing the PPCOS data, we successfully uncover the hidden influence of risk factors on live birth, which confirm clinical experience. Moreover, we provide novel infertility treatment recommendations (e.g., letrozole vs clomiphene citrate) for women with PCOS to improve their chances of live birth.
DOI: 10.5281/zenodo.6353533
title: Data from 36 fungicide trials on grape downy mildew across Europe 2012-2019

description: The data set comprises records of disease incidence and yield from untreated and treated plots. The data is provided as both a tab-separated text file and a binary R data file. The R files provides code to read and plot the data. The plot produced is also provided as a PNG file. The field trials were conducted by BASF, Germany. <em>Details</em><br> The PlantPart column refers to leaves (LEAF), inflorescences (RACEME) and grape clusters (FRUIT). The disease (GDM) was assessed by two methods (Method column), designated P%FREQ and P%INF:<br> • P%INF: Intensity of attack was obtained as a visual estimation of the percentage of each plant part (leaf, raceme or grape cluster) affected by disease.<br> • P%FREQ: Frequency of attack was obtained as the number of infected plant parts (leaf, raceme or grape cluster). The frequency was expressed as a percentage of the number sampled.
description: Supported by EU H2020-SFS-2018-2020 (grant agreement 817617).
DOI: 10.15128/r1hx11xf268
title: Critical Current Densities through Josephson Junctions in Low Magnetic Fields [dataset]

description: Understanding the properties of grain boundaries in polycrystalline superconductors is essential for optimizing their critical current density. Here, we provide computational simulations of 2D Josephson junctions (JJs) in low magnetic fields using time–dependent Ginzburg–Landau theory, since they can be considered a proxy for a grain boundary between two grains. We present data for junctions with a wide range of superconducting electrodes of different Ginzburg–Landau parameter (κ) values and geometries, as well as normal barriers with different strengths of pair–breaking — characterized by the thickness of the junction and the junction condensation parameter ( α̃n ). We describe our results using analytic solutions, and hence provide a detailed description of Josephson junctions in low fields up to that required for a single fluxon to penetrate the junction.
DOI: 10.6084/m9.figshare.19355264
title: Tree and Matrix - Comparative analyses of mitochondrial genomes bring new evolutionary insights for stink bugs (Hemiptera: Pentatomidae)

description: Stink bugs (Pentatomidae) are a speciose group of insects that feed mostly on plants. Many species are considered agricultural pests of economically important crops around the globe. Mitochondrial genomes are valuable for evolutionary and phylogenetic studies, but have been little explored for Pentatomidae. Here, we assembled and annotated the mitochondrial genomes of four pentatomid species (Diceraeus melacanthus, Euschistus heros, Piezodorus guildinii, and Stiretrus anchorago) and performed a comparative analysis for this family and its subfamilies. Stink bug mitogenomes disclosed a conserved gene order and content, although we detected two uncommon armless tRNAs in E. heros and D. melacanthus. Phylogenetic results indicate that Pentatominae is polyphyletic, showing that internal relationships of Pentatomidae should be further investigated. Stink bug mitochondrial genes are under strong purifying selection, except for ATP8 which showed signs of positive selection.
DOI: 10.6084/m9.figshare.19355264.v1
title: Tree and Matrix - Comparative analyses of mitochondrial genomes bring new evolutionary insights for stink bugs (Hemiptera: Pentatomidae)

description: Stink bugs (Pentatomidae) are a speciose group of insects that feed mostly on plants. Many species are considered agricultural pests of economically important crops around the globe. Mitochondrial genomes are valuable for evolutionary and phylogenetic studies, but have been little explored for Pentatomidae. Here, we assembled and annotated the mitochondrial genomes of four pentatomid species (Diceraeus melacanthus, Euschistus heros, Piezodorus guildinii, and Stiretrus anchorago) and performed a comparative analysis for this family and its subfamilies. Stink bug mitogenomes disclosed a conserved gene order and content, although we detected two uncommon armless tRNAs in E. heros and D. melacanthus. Phylogenetic results indicate that Pentatominae is polyphyletic, showing that internal relationships of Pentatomidae should be further investigated. Stink bug mitochondrial genes are under strong purifying selection, except for ATP8 which showed signs of positive selection.
DOI: 10.5281/zenodo.5217310
title: Belgian Statutory Article Retrieval Dataset (BSARD)

description: The Belgian Statutory Article Retrieval Dataset (BSARD) is a French native corpus for studying statutory article retrieval. BSARD consists of more than 22,600 statutory articles from Belgian law and about 1,100 legal questions posed by Belgian citizens and labeled by experienced jurists with relevant articles from the corpus.
DOI: 10.5281/zenodo.5217309
title: Belgian Statutory Article Retrieval Dataset (BSARD)

description: The Belgian Statutory Article Retrieval Dataset (BSARD) is a French native corpus for studying statutory article retrieval. BSARD consists of more than 22,600 statutory articles from Belgian law and about 1,100 legal questions posed by Belgian citizens and labeled by experienced jurists with relevant articles from the corpus.
DOI: 10.3886/e164781
title: Impact of COVID-19 on gynecologic and obstetrical services at two large health systems

description: These data are the foundation for our manuscript, Impact of COVID-19 on gynecologic and obstetrical services at two large health systems. Comparing 2020 to 2019, we quantified changes to obstetrics and gynecology care at two large health care organizations in the United States. The analysis considered the 2020:2019 ratios, by time period, for the number of gynecologic surgical encounters, in-person visits, and telemedicine visits. For each system, we quantified temporal changes in surgical volume, in-person and telemedicine visits, and financial impact related to professional fee revenues. <br>
DOI: 10.3886/e164781v1
title: Impact of COVID-19 on gynecologic and obstetrical services at two large health systems

description: These data are the foundation for our manuscript, Impact of COVID-19 on gynecologic and obstetrical services at two large health systems. Comparing 2020 to 2019, we quantified changes to obstetrics and gynecology care at two large health care organizations in the United States. The analysis considered the 2020:2019 ratios, by time period, for the number of gynecologic surgical encounters, in-person visits, and telemedicine visits. For each system, we quantified temporal changes in surgical volume, in-person and telemedicine visits, and financial impact related to professional fee revenues. <br>
DOI: 10.5281/zenodo.6353619
title: Kasus ITE Pengadilan Negeri Surabaya 2021

description: Dataset of cybercrimes committed by people living in Surabaya, East Java, Indonesia in 2021. This method was conducted by assorting information in regards of the decision made by the Supreme Court in Surabaya district related to cybercrimes violating Information and Electronic Transactions Laws (ITE Laws) regulating activities carried out using computer, computer networks, and/or other electronic media. The information was collected from the official website of the District Court of Surabaya, http://sipp.pn-surabayakota.go.id.
DOI: 10.5281/zenodo.6353618
title: Kasus ITE Pengadilan Negeri Surabaya 2021

description: Dataset of cybercrimes committed by people living in Surabaya, East Java, Indonesia in 2021. This method was conducted by assorting information in regards of the decision made by the Supreme Court in Surabaya district related to cybercrimes violating Information and Electronic Transactions Laws (ITE Laws) regulating activities carried out using computer, computer networks, and/or other electronic media. The information was collected from the official website of the District Court of Surabaya, http://sipp.pn-surabayakota.go.id.