cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/d7cwp2t2rb.1
title: About adolescents’ goal systems

description: Participants were randomly selected from three middle schools in China, covering urban and rural areas, economically developed and underdeveloped regions, and key and non-key schools. Whole-class sampling was conducted by grade, with class teachers distributing the questionnaire to parents and students for informed consent. Student participation was voluntary. A total of 806 responses were collected, of which 772 were valid after removing incomplete, high school-level, or careless responses.
DOI: 10.15468/dl.rmrxqg
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tupaia longipes"
 ]
}

 The dataset's 3 records were derived from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031870-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6b5p87
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Babka gymnotrachelus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031889-251025141854904/datasets/export for details.
DOI: 10.15468/dl.8y5rcb
title: Occurrence Download

description: A dataset containing 1463 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Specimen)",
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera onca"
 ]
}

 The dataset includes 1463 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031890-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6b57gcf7zy
title: NPS Provider Choice Tanzania2

description: The dataset integrates four rounds of the Tanzania National Panel Survey (2008/09, 2010/11, 2012/13, and 2014/15) into a harmonized Uniform Panel Dataset (UPD) with 65,954 outpatient episodes reported by households between 2008 and 2015. Each record represents a healthcare visit within a four-week recall period, detailing facility type, cost, perceived quality, and socio-economic attributes. The data, collected by the National Bureau of Statistics in collaboration with the World Bank LSMS–ISA program, are nationally representative of Tanzania Mainland and Zanzibar. The study tests the hypothesis that healthcare provider choice in Tanzania is jointly determined by household resource allocation decisions and provider strategies shaped by fiscal and infrastructural constraints. Patients allocate scarce resources—money, time, and trust—between public and non-public providers, while providers adjust prices, quality, and capacity in response to demand and regulation. Using this dataset, a fixed-effects control function panel logit model estimates causal demand responses, which are then embedded in a dynamic Bayesian game framework to capture provider behaviour. The dataset contains variables on facility characteristics (ownership, distance, waiting time), costs (consultation, medication, transport), quality perceptions (satisfaction, drug availability, cleanliness), and household factors (income, education, insurance status, residence). Data were harmonized and cleaned to ensure consistency and representativeness across four survey waves, resulting in observations from 3,152 households across all administrative regions. This dataset is valuable for analyzing healthcare demand, equity, and provider competition in Tanzania and other LMICs. It can support econometric and game-theoretic modeling, policy simulations, and evaluation of health financing reforms. All variables are coded for standard software (Stata, R, Python) and accompanied by a detailed codebook. The data are ethically compliant and publicly available through the Tanzania NPS (LSMS–ISA).
DOI: 10.17632/6b57gcf7zy.2
title: NPS Provider Choice Tanzania2

description: The dataset integrates four rounds of the Tanzania National Panel Survey (2008/09, 2010/11, 2012/13, and 2014/15) into a harmonized Uniform Panel Dataset (UPD) with 65,954 outpatient episodes reported by households between 2008 and 2015. Each record represents a healthcare visit within a four-week recall period, detailing facility type, cost, perceived quality, and socio-economic attributes. The data, collected by the National Bureau of Statistics in collaboration with the World Bank LSMS–ISA program, are nationally representative of Tanzania Mainland and Zanzibar. The study tests the hypothesis that healthcare provider choice in Tanzania is jointly determined by household resource allocation decisions and provider strategies shaped by fiscal and infrastructural constraints. Patients allocate scarce resources—money, time, and trust—between public and non-public providers, while providers adjust prices, quality, and capacity in response to demand and regulation. Using this dataset, a fixed-effects control function panel logit model estimates causal demand responses, which are then embedded in a dynamic Bayesian game framework to capture provider behaviour. The dataset contains variables on facility characteristics (ownership, distance, waiting time), costs (consultation, medication, transport), quality perceptions (satisfaction, drug availability, cleanliness), and household factors (income, education, insurance status, residence). Data were harmonized and cleaned to ensure consistency and representativeness across four survey waves, resulting in observations from 3,152 households across all administrative regions. This dataset is valuable for analyzing healthcare demand, equity, and provider competition in Tanzania and other LMICs. It can support econometric and game-theoretic modeling, policy simulations, and evaluation of health financing reforms. All variables are coded for standard software (Stata, R, Python) and accompanied by a detailed codebook. The data are ethically compliant and publicly available through the Tanzania NPS (LSMS–ISA).
DOI: 10.17632/sc8rsz2vd7.1
title: SEED-ML: A Multi-Parametric Clinical Dataset on Male Infertility for Predictive Modeling and AI Research.

description: Authors: N. Sánchez-Gómez [1] (nicolassg@us.es), J.A. García-García [*, 1] (juliangg@us.es), J. Navarro-Pando [2,3,4,5] (jose.navarro@inebir.com), MJ Escalona-Cuaresma [1] (mjescalona@us.es).
Affiliations: [1]ES3 Group (Engineering and Science for Software Systems group). University of Seville, Spain. Avenida Reina Mercedes, s/n., 41012, Seville, Spain. [2]Cátedra de Reproducción y Genética Humana del Instituto para el Estudio de la Biología de la Reproducción Humana (INEBIR), Seville, Spain. [3]Universidad Europea del Atlántico (UNEATLANTICO), Santander, Spain. [4]Fundación Universitaria Iberoamericana (FUNIBER), Seville, Spain. [5]San Juan de Dios Hospital, Sevilla, Spain.
Abstract: SEED-ML (Semen Examination and Evaluation Dataset for Machine Learning) is an openly available, multi-parametric clinical dataset specifically designed to support research in male infertility diagnostics and prediction. The dataset comprises records from 10,124 patients, including demographic information, anthropometric measures, detailed semen analysis parameters (pre- and post-treatment), morphological classifications, family history, clinical alterations, and lifestyle-related toxic exposures. Infertility diagnosis is categorized into nine clinically relevant classes, ranging from normal fertility to complex multi-factor conditions such as oligoasthenoteratozoospermia. All data were anonymized and curated following strict ethical and privacy guidelines to ensure compliance with applicable medical data protection regulations. SEED-ML offers a valuable resource for developing and benchmarking machine learning models, enabling research in predictive analytics, decision support systems, and computational andrology. This dataset aims to facilitate interdisciplinary collaboration between clinicians, data scientists, and AI (artificial intelligence) researchers, accelerating the development of data-driven solutions in reproductive medicine.
DOI: 10.17632/h6mdcbvhbb
title: 四川省LF与ESS指标_2000-2020

description: 景观破碎化数据：基于中国科学院的多期土地利用遥感数据（如30米分辨率），在流域单元和整个四川省的尺度上计算了斑块密度、景观形状指数等多个景观格局指数，用以量化景观破碎化与其复杂程度。社会及经济数据：包括人口密度、人均GDP等数据，收集自国家统计局（https://www.stats.gov.cn/sj/）和中国科学院资源与环境科学数据中心，用于进行ESS-LF双向机制可视化分析。
DOI: 10.17632/h6mdcbvhbb.1
title: 四川省LF与ESS指标_2000-2020

description: 景观破碎化数据：基于中国科学院的多期土地利用遥感数据（如30米分辨率），在流域单元和整个四川省的尺度上计算了斑块密度、景观形状指数等多个景观格局指数，用以量化景观破碎化与其复杂程度。社会及经济数据：包括人口密度、人均GDP等数据，收集自国家统计局（https://www.stats.gov.cn/sj/）和中国科学院资源与环境科学数据中心，用于进行ESS-LF双向机制可视化分析。
DOI: 10.17632/2tdxktdpyj
title: Sample Dataset for Road Network Model Construction in Scratch

description: This dataset provides demonstration materials designed to illustrate the construction of a modeling and execution environment on Scratch.
The dataset includes:
(1) a road-only image extracted from the GSI Vector Map (Geospatial Information Authority of Japan), covering the area between latitude 35.309078–35.314732 and longitude 139.535117–139.544355 (image size: 480 × 360 pixels; coordinates in WGS84 / EPSG:4326);
(2) CSV files of nodes and edges generated by the custom extraction tool; and
(3) a Scratch project file that reads the CSV files and performs three functions — visualizing the road network, displaying node IDs when clicked, and executing shortest-path searches.
These materials were developed as demonstration resources to explain the process of constructing a modeling and execution environment in Scratch. No personal or location-identifiable information is included.
DOI: 10.17632/2tdxktdpyj.1
title: Sample Dataset for Road Network Model Construction in Scratch

description: This dataset provides demonstration materials designed to illustrate the construction of a modeling and execution environment on Scratch.
The dataset includes:
(1) a road-only image extracted from the GSI Vector Map (Geospatial Information Authority of Japan), covering the area between latitude 35.309078–35.314732 and longitude 139.535117–139.544355 (image size: 480 × 360 pixels; coordinates in WGS84 / EPSG:4326);
(2) CSV files of nodes and edges generated by the custom extraction tool; and
(3) a Scratch project file that reads the CSV files and performs three functions — visualizing the road network, displaying node IDs when clicked, and executing shortest-path searches.
These materials were developed as demonstration resources to explain the process of constructing a modeling and execution environment in Scratch. No personal or location-identifiable information is included.
DOI: 10.34740/kaggle/dsv/13724063
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.14775780
title: Power Consumption and Process List from Replayed Azure VM Dataset

description: See readme.md for a description of the files and their usage.
DOI: 10.5281/zenodo.15612301
title: Power Consumption and Process List from Replayed Azure VM Dataset

description: See readme.md for a description of the files and their usage.
DOI: 10.17632/vdrtky4r7w
title: Research data of Birch Juice

description: Near-infrared absorption spectral data of undiluted birch sap and adulterated water samples, in the wavelength range of 850 - 1700 nm .
DOI: 10.17632/vdrtky4r7w.1
title: Research data of Birch Juice

description: Near-infrared absorption spectral data of undiluted birch sap and adulterated water samples, in the wavelength range of 850 - 1700 nm .
DOI: 10.17632/hr2grdfm76
title: Coal mining in Semi-Arid Regions: Contrasting Effects on SOC Accumulation (Loess) vs. Loss (Desert)

description: This data reveal that mining substantially reshapes SOC storage and its regulation mechanisms: (i) loess soils exhibit deep SOC enrichment, whereas transition and sandy soils undergo significant depletion; (ii) coal mining was not the dominant driver of SOC vertical distribution in the transitional zone, but had non-negligible impacts on SOC of 0-100 cm disturbance, it overrides vegetation effects; and (iii) controlling factors shift with depth-from soil structural attributes at the surface to soil properties and topographic drivers in the subsoil.
DOI: 10.17632/hr2grdfm76.1
title: Coal mining in Semi-Arid Regions: Contrasting Effects on SOC Accumulation (Loess) vs. Loss (Desert)

description: This data reveal that mining substantially reshapes SOC storage and its regulation mechanisms: (i) loess soils exhibit deep SOC enrichment, whereas transition and sandy soils undergo significant depletion; (ii) coal mining was not the dominant driver of SOC vertical distribution in the transitional zone, but had non-negligible impacts on SOC of 0-100 cm disturbance, it overrides vegetation effects; and (iii) controlling factors shift with depth-from soil structural attributes at the surface to soil properties and topographic drivers in the subsoil.
DOI: 10.5281/zenodo.17459025
title: Echocardiographic Imaging in Conscious, Unsedated Sheep: A Novel Approach Enabling Apical Views for Advanced Cardiac Assessment
DOI: 10.5281/zenodo.17459026
title: Echocardiographic Imaging in Conscious, Unsedated Sheep: A Novel Approach Enabling Apical Views for Advanced Cardiac Assessment
DOI: 10.17632/rrkvr8h5tg
title: Peptide assisted CRISPR/Cas delivery enables high-throughput genome engineering in animal models

description: A peptide-assistant RNP delivery for embryo genome editing to make animal models.
DOI: 10.5281/zenodo.7477600
title: The POPREBEL semantic social network data

description: The POPREBEL project explores the phenomenon of populism in Europe. As part of it, a team of ethnographers generated and coded the corpus contained in this dataset. It consists of coded interviews, realized between spring 2021 and spring 2022, to Internet users in Czechia, Germany and Poland, who used social media to gather information about the COVID-19 pandemic. The dataset is pseudonymized. POPREBEL is supported by the European Union's Horizon 2020 programme, grant n. 822682.



	
Final ethnographic report. Section 1.2 contains a detailed description of how and why data were collected.
	
Funnel website of the project.
	
About semantic social networks.
	
Data export and documentation process (contains links to the code used to export the data)
description: This version of the data consists of only coded interviews.
DOI: 10.17632/rrkvr8h5tg.2
title: Peptide assisted CRISPR/Cas delivery enables high-throughput genome engineering in animal models

description: A peptide-assistant RNP delivery for embryo genome editing to make animal models.
DOI: 10.5281/zenodo.3694107
title: The POPREBEL semantic social network data

description: The POPREBEL project explores the phenomenon of populism in Europe. As part of it, a team of ethnographers generated and coded the corpus contained in this dataset. It consists of coded interviews, realized between spring 2021 and spring 2022, to Internet users in Czechia, Germany and Poland, who used social media to gather information about the COVID-19 pandemic. The dataset is pseudonymized. POPREBEL is supported by the European Union's Horizon 2020 programme, grant n. 822682.



	
Final ethnographic report. Section 1.2 contains a detailed description of how and why data were collected.
	
Funnel website of the project.
	
About semantic social networks.
	
Data export and documentation process (contains links to the code used to export the data)
description: This version of the data consists of only coded interviews.
DOI: 10.15468/dl.wdu8s7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Balantiocheilos melanopterus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031892-251025141854904/datasets/export for details.
DOI: 10.17632/v92wy57yt6
title: A Hybrid SWAT-LSTM Framework for Daily Sediment Load Prediction in the Data-Scarce Songhua River Basin, Northeast China

description: research data
DOI: 10.17632/v92wy57yt6.1
title: A Hybrid SWAT-LSTM Framework for Daily Sediment Load Prediction in the Data-Scarce Songhua River Basin, Northeast China

description: research data
DOI: 10.17632/ckmgj57jyc
title: The impact of the environmental performance pressure of local governments on green technology innovation：Evidence from 81 prefecture-level cities in the Yellow River Basin

description: This study mainly aims to investigate how local governments in the Yellow River Basin would respond to the pressure of performance assessment in environmental aspects, and what impact this would have on green innovation technologies within the region.
DOI: 10.17632/ckmgj57jyc.1
title: The impact of the environmental performance pressure of local governments on green technology innovation：Evidence from 81 prefecture-level cities in the Yellow River Basin

description: This study mainly aims to investigate how local governments in the Yellow River Basin would respond to the pressure of performance assessment in environmental aspects, and what impact this would have on green innovation technologies within the region.
DOI: 10.5281/zenodo.17459016
title: Establishing a Novel Echocardiographic Protocol in Sheep: Achieving Apical Views for Advanced Cardiac Assessment and Validation in a Heart Failure Model: Supplementary Material
DOI: 10.5281/zenodo.17074004
title: Establishing a Novel Echocardiographic Protocol in Sheep: Achieving Apical Views for Advanced Cardiac Assessment and Validation in a Heart Failure Model: Supplementary Material
DOI: 10.17632/5yyzfkjb3v
title: Uncertainty

description: Monetary Policy Under High Uncertainty: Lessons fromthe 2020-2025 U.S. Experience
DOI: 10.17632/5yyzfkjb3v.1
title: Uncertainty

description: Monetary Policy Under High Uncertainty: Lessons fromthe 2020-2025 U.S. Experience
DOI: 10.15468/dl.r6hw6n
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Registros del capitán de la sabana Eremophilus mutisii en la sabana de Bogotá"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031893-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/b5jrgwcrwn
title: Experimental erosion data, LiDAR-derived DEMs, and runoff–sediment measurements

description: Experimental erosion data, LiDAR-derived DEMs, and runoff–sediment measurements
DOI: 10.17632/b5jrgwcrwn.1
title: Experimental erosion data, LiDAR-derived DEMs, and runoff–sediment measurements

description: Experimental erosion data, LiDAR-derived DEMs, and runoff–sediment measurements
DOI: 10.15468/dl.hy6rpg
title: Occurrence Download

description: A dataset containing 305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (USA.41_1, USA.11_1)",
 "TaxonKey is Vulpes vulpes"
 ]
}

 The dataset includes 305 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031894-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6bt72xtwdp
title: Simulated data for the manuscript "Modeling of elves doublets based on variations of the lightning return stroke current"

description: Simulation data for an alternative model of elves explaining elves doublets and triplets. According to the model, the second elves ring is created by the effects of the return stoke current wave attenuation with height and/or the deposition of the charges modeled by the upper absorbing boundary condition. The data show the simulated normalized electric fields and the emission rates.
DOI: 10.17632/6bt72xtwdp.1
title: Simulated data for the manuscript "Modeling of elves doublets based on variations of the lightning return stroke current"

description: Simulation data for an alternative model of elves explaining elves doublets and triplets. According to the model, the second elves ring is created by the effects of the return stoke current wave attenuation with height and/or the deposition of the charges modeled by the upper absorbing boundary condition. The data show the simulated normalized electric fields and the emission rates.
DOI: 10.17632/cm8m8wpk28
title: Experimental Evaluation of Skin Contact Pressure and Thermal Injury Risk with Radiant Heaters in Electric Vehicles

description: The data supporting the findings of this study, including raw datasets from both experimental phases—pressure distribution measurements obtained using the pressure-sensitive mat (PSM) and thermal data recorded from thermesthesiometer (TTM) experiments
DOI: 10.17632/cm8m8wpk28.1
title: Experimental Evaluation of Skin Contact Pressure and Thermal Injury Risk with Radiant Heaters in Electric Vehicles

description: The data supporting the findings of this study, including raw datasets from both experimental phases—pressure distribution measurements obtained using the pressure-sensitive mat (PSM) and thermal data recorded from thermesthesiometer (TTM) experiments
DOI: 10.17632/kd9y5z7hgy.2
title: Volumetric Behaviour Analysis (VBA) of Hong Kong Public Housing Flats - Interview 21PHHA6T
DOI: 10.15468/dl.eatczh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ballerus ballerus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031895-251025141854904/datasets/export for details.
DOI: 10.17632/mbzt6knx9h
title: Volumetric Behaviour Analysis (VBA) of Hong Kong Public Housing Flats - Interview Case 1PHTR1
DOI: 10.17632/mbzt6knx9h.1
title: Volumetric Behaviour Analysis (VBA) of Hong Kong Public Housing Flats - Interview Case 1PHTR1
DOI: 10.17632/b43mmsmjt3
title: Volumetric Behaviour Analysis (VBA) of Hong Kong Public Housing Flats - Interview Case 3PHNS1
DOI: 10.17632/b43mmsmjt3.1
title: Volumetric Behaviour Analysis (VBA) of Hong Kong Public Housing Flats - Interview Case 3PHNS1
DOI: 10.17632/yjp394p8h4
title: Volumetric Behaviour Analysis (VBA) of Hong Kong Public Housing Flats - Interview Case 4PHHA1
DOI: 10.17632/yjp394p8h4.1
title: Volumetric Behaviour Analysis (VBA) of Hong Kong Public Housing Flats - Interview Case 4PHHA1
DOI: 10.5281/zenodo.17604391
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS251113w Initial

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS251113w Initial. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.17604392
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS251113w Initial

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS251113w Initial. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract