cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30949288
title: HSI-PVL-KZ

description: This dataset contains laboratory-acquired hyperspectral images of spring wheat (Triticum aestivum L.) collected across multiple phenological stages during the 2025 growing season. The data were acquired using a FigSpec FS-13 hyperspectral camera in the spectral range of 400–1000 nm under controlled illumination conditions.The dataset includes hyperspectral cubes with corresponding metadata describing acquisition dates, locations (district and field), phenological stages (Zadoks scale), and plant health status. The samples represent healthy plants as well as multiple disease categories, including septoria leaf blotch, root rot, rust, yellow leaf symptoms, brown rust, loose smut, and mixed infections.For selected samples, regions of interest (ROIs) were annotated at the organ level (leaf, ear, background) and used to extract mean spectral signatures and vegetation indices such as NDVI and red-edge-based features. The dataset also includes dry plant samples from a 2024 reference collection, enabling comparative analysis of spectral changes associated with moisture loss.The primary purpose of this dataset is to support research in hyperspectral data analysis, plant disease monitoring, and machine learning–based classification. It is suitable for benchmarking traditional classifiers (e.g., Random Forest, Maximum Entropy, SIMCA) as well as for developing and validating deep learning approaches.A subset of the dataset is publicly available for exploratory use. Access to the full dataset and detailed annotations can be obtained by contacting the authors.
DOI: 10.6084/m9.figshare.30949288.v1
title: HSI-PVL-KZ

description: This dataset contains laboratory-acquired hyperspectral images of spring wheat (Triticum aestivum L.) collected across multiple phenological stages during the 2025 growing season. The data were acquired using a FigSpec FS-13 hyperspectral camera in the spectral range of 400–1000 nm under controlled illumination conditions.The dataset includes hyperspectral cubes with corresponding metadata describing acquisition dates, locations (district and field), phenological stages (Zadoks scale), and plant health status. The samples represent healthy plants as well as multiple disease categories, including septoria leaf blotch, root rot, rust, yellow leaf symptoms, brown rust, loose smut, and mixed infections.For selected samples, regions of interest (ROIs) were annotated at the organ level (leaf, ear, background) and used to extract mean spectral signatures and vegetation indices such as NDVI and red-edge-based features. The dataset also includes dry plant samples from a 2024 reference collection, enabling comparative analysis of spectral changes associated with moisture loss.The primary purpose of this dataset is to support research in hyperspectral data analysis, plant disease monitoring, and machine learning–based classification. It is suitable for benchmarking traditional classifiers (e.g., Random Forest, Maximum Entropy, SIMCA) as well as for developing and validating deep learning approaches.A subset of the dataset is publicly available for exploratory use. Access to the full dataset and detailed annotations can be obtained by contacting the authors.
DOI: 10.34740/kaggle/dsv/14577786
title: e-IPO Indonesia Data - Investment
DOI: 10.5281/zenodo.18334124
title: Research data supporting "Dissipative ground-state preparation of a quantum spin chain on a trapped-ion quantum computer"
DOI: 10.5281/zenodo.18334125
title: Research data supporting "Dissipative ground-state preparation of a quantum spin chain on a trapped-ion quantum computer"
DOI: 10.5281/zenodo.18255011
title: Python codes for "High-quality hydrogen peroxide production through electrochemical reduction of anthraquinone in ambient environment"

description: We provide the python codes that were utilized in this paper.
DOI: 10.5281/zenodo.18255012
title: Python codes for "High-quality hydrogen peroxide production through electrochemical reduction of anthraquinone in ambient environment"

description: We provide the python codes that were utilized in this paper.
DOI: 10.15468/dl.5cfva2
title: Occurrence Download

description: A dataset containing 287596 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Gallus gallus"
 ]
}

 The dataset includes 287596 records from 358 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004375-260120142942310/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.30084454
title: 新疆塔里木盆地北缘台兰河灌区表土盐渍特征数据集（2024.04.20-21）A Dataset on Topsoil Salinization Characteristics in the Tailan River Irrigation District, Northern Margin of the Tarim Basin, Xinjiang (2024.04.20-21).xlsx

description: Soil salinization is a key issue restricting the sustainable development of agriculture and the stability of the ecological environment in arid and semi-arid regions. Xinjiang is the region with the widest distribution and largest area of saline-alkali land in China. Among them, the Tailan River Irrigation District, located on the northern margin of the Tarim Basin in southern Xinjiang, has particularly prominent salinization problems due to factors such as arid climate, imperfect irrigation and drainage systems, and improper irrigation methods. Moreover, the lack of systematic soil salinity survey data in the past 20 years has seriously hindered the implementation of precise management of saline-alkali land.Taking the Tailan River Irrigation District as the study area, this research deployed 164 sampling points using the equal-interval zoned sampling method in ArcGIS. In accordance with the Chinese agricultural industry standard Technical Specifications for Monitoring of Farmland Soil Environmental Quality (NY/T 395-2025), soil samples were collected from the 0-120 cm topsoil layer at 7 different depths from April 20 to April 21, 2024. The soil samples were pretreated with reference to the standard operating procedure for soil electrical conductivity (soil/water, 1:5) proposed by the Food and Agriculture Organization of the United Nations (FAO). Key physical and chemical indicators such as soil pH value, electrical conductivity (EC), moisture content, total soluble salts (TSS) and eight major ions (Cl-, SO42-, CO32-, HCO3-, Na+, K+, Ca2+, Mg2+) were determined in accordance with the Chinese standard. After sample loss screening, data accuracy verification, and parallel tests, data from 118 qualified sampling points and 807 soil samples were finally obtained, and a dataset of soil physical and chemical properties in the Tailan River Irrigation District was constructed. This dataset presents the spatial distribution characteristics of soil salinity, moisture content, and electrical conductivity in the irrigation district, providing high-quality data support for the improvement of salinized land, adjustment of crop layout, and formulation of relevant farmland management policies in the region. It also helps promote the transformation of the irrigation district from extensive management to precise governance.
DOI: 10.6084/m9.figshare.30084454.v2
title: 新疆塔里木盆地北缘台兰河灌区表土盐渍特征数据集（2024.04.20-21）A Dataset on Topsoil Salinization Characteristics in the Tailan River Irrigation District, Northern Margin of the Tarim Basin, Xinjiang (2024.04.20-21).xlsx

description: Soil salinization is a key issue restricting the sustainable development of agriculture and the stability of the ecological environment in arid and semi-arid regions. Xinjiang is the region with the widest distribution and largest area of saline-alkali land in China. Among them, the Tailan River Irrigation District, located on the northern margin of the Tarim Basin in southern Xinjiang, has particularly prominent salinization problems due to factors such as arid climate, imperfect irrigation and drainage systems, and improper irrigation methods. Moreover, the lack of systematic soil salinity survey data in the past 20 years has seriously hindered the implementation of precise management of saline-alkali land.Taking the Tailan River Irrigation District as the study area, this research deployed 164 sampling points using the equal-interval zoned sampling method in ArcGIS. In accordance with the Chinese agricultural industry standard Technical Specifications for Monitoring of Farmland Soil Environmental Quality (NY/T 395-2025), soil samples were collected from the 0-120 cm topsoil layer at 7 different depths from April 20 to April 21, 2024. The soil samples were pretreated with reference to the standard operating procedure for soil electrical conductivity (soil/water, 1:5) proposed by the Food and Agriculture Organization of the United Nations (FAO). Key physical and chemical indicators such as soil pH value, electrical conductivity (EC), moisture content, and total soluble salts (TSS) were determined in accordance with the Chinese national standard Standard Methods for Geotechnical Tests (GB/T 50123-2019).After sample loss screening, data accuracy verification, and parallel tests, data from 119 qualified sampling points and 839 soil samples were finally obtained, and a dataset of soil physical and chemical properties in the Tailan River Irrigation District was constructed. This dataset presents the spatial distribution characteristics of soil salinity, moisture content, and electrical conductivity in the irrigation district, providing high-quality data support for the improvement of salinized land, adjustment of crop layout, and formulation of relevant farmland management policies in the region. It also helps promote the transformation of the irrigation district from extensive management to precise governance.
DOI: 10.6084/m9.figshare.30084454.v3
title: 新疆塔里木盆地北缘台兰河灌区表土盐渍特征数据集（2024.04.20-21）A Dataset on Topsoil Salinization Characteristics in the Tailan River Irrigation District, Northern Margin of the Tarim Basin, Xinjiang (2024.04.20-21).xlsx

description: Soil salinization is a key issue restricting the sustainable development of agriculture and the stability of the ecological environment in arid and semi-arid regions. Xinjiang is the region with the widest distribution and largest area of saline-alkali land in China. Among them, the Tailan River Irrigation District, located on the northern margin of the Tarim Basin in southern Xinjiang, has particularly prominent salinization problems due to factors such as arid climate, imperfect irrigation and drainage systems, and improper irrigation methods. Moreover, the lack of systematic soil salinity survey data in the past 20 years has seriously hindered the implementation of precise management of saline-alkali land.Taking the Tailan River Irrigation District as the study area, this research deployed 164 sampling points using the equal-interval zoned sampling method in ArcGIS. In accordance with the Chinese agricultural industry standard Technical Specifications for Monitoring of Farmland Soil Environmental Quality (NY/T 395-2025), soil samples were collected from the 0-120 cm topsoil layer at 7 different depths from April 20 to April 21, 2024. The soil samples were pretreated with reference to the standard operating procedure for soil electrical conductivity (soil/water, 1:5) proposed by the Food and Agriculture Organization of the United Nations (FAO). Key physical and chemical indicators such as soil pH value, electrical conductivity (EC), moisture content, total soluble salts (TSS) and eight major ions (Cl-, SO42-, CO32-, HCO3-, Na+, K+, Ca2+, Mg2+) were determined in accordance with the Chinese standard. After sample loss screening, data accuracy verification, and parallel tests, data from 118 qualified sampling points and 807 soil samples were finally obtained, and a dataset of soil physical and chemical properties in the Tailan River Irrigation District was constructed. This dataset presents the spatial distribution characteristics of soil salinity, moisture content, and electrical conductivity in the irrigation district, providing high-quality data support for the improvement of salinized land, adjustment of crop layout, and formulation of relevant farmland management policies in the region. It also helps promote the transformation of the irrigation district from extensive management to precise governance.
DOI: 10.15468/dl.zk8dna
title: Occurrence Download

description: A dataset containing 97757 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lagopus muta",
 "Year 1990-2026"
 ]
}

 The dataset includes 97757 records from 258 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004326-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wqy2bf
title: Occurrence Download

description: A dataset containing 50080 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Amaranthus retroflexus",
 "Year 2000-2026"
 ]
}

 The dataset includes 50080 records from 577 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004373-260120142942310/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.31121758
title: Anonymized Dataset for Empirical Software Engineering Study

description: This dataset contains anonymized development activity logs collected from student software projects and used in an empirical software engineering study.The data have been curated to support reproducibility while preserving participant privacy. This dataset is provided for double-blind peer review and will be made publicly available upon acceptance.
DOI: 10.6084/m9.figshare.31121758.v1
title: Anonymized Dataset for Empirical Software Engineering Study

description: This dataset contains anonymized development activity logs collected from student software projects and used in an empirical software engineering study.The data have been curated to support reproducibility while preserving participant privacy. This dataset is provided for double-blind peer review and will be made publicly available upon acceptance.
DOI: 10.15468/dl.kh3343
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.74936 24.405063, 88.67225000000001 24.399486, 88.597059 24.382894, 88.525655 24.355699, 88.459812 24.318578, 88.401158 24.272452, 88.351141 24.218466, 88.31099 24.157959, 88.281683 24.092428, 88.263929 24.023492, 88.258146 23.952854, 88.26445699999999 23.882254, 88.28268799999999 23.813429, 88.31237299999999 23.748068, 88.352767 23.687776, 88.402868 23.634029, 88.461438 23.588142, 88.527039 23.551236, 88.59806399999999 23.524212, 88.67277900000001 23.50773, 88.74936 23.50219, 88.825941 23.50773, 88.900656 23.524212, 88.971681 23.551236, 89.037282 23.588142, 89.09585199999999 23.634029, 89.14595300000001 23.687776, 89.186347 23.748068, 89.216032 23.813429, 89.234263 23.882254, 89.240574 23.952854, 89.234791 24.023492, 89.217037 24.092428, 89.18773 24.157959, 89.14757899999999 24.218466, 89.097562 24.272452, 89.03890800000001 24.318578, 88.97306500000001 24.355699, 88.901661 24.382894, 88.82647 24.399486, 88.74936 24.405063))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004404-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g7q4b9
title: Occurrence Download

description: A dataset containing 2650 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((6.3409 35.41565,56.40419 35.41565,56.40419 48.23924,6.3409 48.23924,6.3409 35.41565))",
 "HasCoordinate is true",
 "TaxonKey is Carpinus orientalis"
 ]
}

 The dataset includes 2650 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030693-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nht8ed
title: Occurrence Download

description: A dataset containing 913 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((152.5462 40.99826,136.42198 45.54429,130.24223 35.03159,129.24779 31.26691,131.94698 27.005,144.16446 30.27246,152.5462 40.99826))",
 "TaxonKey is Castanopsis cuspidata"
 ]
}

 The dataset includes 913 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030695-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4xvjry
title: Occurrence Download

description: A dataset containing 12462 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((25.6578 -34.0342,58.80572 -34.0342,58.80572 0.33103,25.6578 0.33103,25.6578 -34.0342))",
 "OccurrenceStatus is Present",
 "TaxonKey is Megaptera novaeangliae"
 ]
}

 The dataset includes 12462 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030696-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6nxj3c
title: Occurrence Download

description: A dataset containing 259 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Bambusa emeiensis"
 ]
}

 The dataset includes 259 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030697-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2fqrmd
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Phyllostachys aurea"
 ]
}

 The dataset includes 104 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030699-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qc95ps
title: Occurrence Download

description: A dataset containing 157013 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Iran (Islamic Republic of)",
 "GadmGid is one of (IRN.20_1, IRN.9_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 157013 records from 289 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030678-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z8vhm9
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paramesotriton chinensis"
 ]
}

 The dataset includes 206 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030700-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ckqmqv
title: Occurrence Download

description: A dataset containing 2269 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((124.96924 33.82532,109.48432 33.25706,99.53987 33.82532,94.28352 25.58565,104.51209 15.35708,119.00257 14.0785,128.09463 24.30708,124.96924 33.82532))",
 "TaxonKey is Castanopsis eyrei"
 ]
}

 The dataset includes 2269 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030701-251025141854904/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.30603917.v1
title: Project _Meta analysis_Voting_03092024

description: What is the effect of social media use on voting behavior? While widely studied, the evidence remains mixed and often confounded with broader measures of political participation. This meta-analysis provides the first focused synthesis of the relationship between social media use and voting behavior specifically defined as turnout, intention, registration, or choice. We analyze data from 36 independent studies (k = 36), comprising 104 effects and over 81 million respondents across 24 countries, using multilevel random-effects models to account for within- and between-study variance. Results show a small but statistically significant positive overall association between social media use and voting (Fisher's z = 0.054, 95% CI [0.023, 0.086], p &lt; .001). However, this relationship is highly conditional. The association is significantly stronger for active engagement compared to passive consumption and in countries with higher internet penetration, and the effect has evolved over time, reflecting changes in the digital media environment. These findings suggest that the impact of social media on electoral participation is modest and context dependent.
DOI: 10.15468/dl.hy5zqe
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Phyllostachys nuda"
 ]
}

 The dataset includes 96 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030702-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uh6sdp
title: Occurrence Download

description: A dataset containing 78571 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Parkinsonia",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 78571 records from 450 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030675-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vmxev7
title: Occurrence Download

description: A dataset containing 183493 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Spain, Portugal)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lanius meridionalis",
 "Year 1999-2025"
 ]
}

 The dataset includes 183493 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030663-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.