cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/jgkdgskw2r.1
title: X-ray diffraction data of rock samples from Upper Ediacaran Dengying Formation, Northeast Sichuan Basin, SW China

description: The Dengying Formation, located in the Sichuan Basin of China, represents one of the most significant carbonate sequences of the late Ediacaran in the world. It was deposited on a shallow marine carbonate platform, and its age is constrained between 551 Ma and 541 Ma based on available radiometric dates and stratigraphic correlations. 
The Dengying Formation is divided into four lithological members, namely, Dengying 1, 2, 3, and 4 Members, from bottom to top (Figure 1). The Deng 1 Member is composed of crystalline dolomite and microbial dolomite. The Deng 2 Member develops large quantities of microbialites, mainly including stromatolite dolomite, thrombolite dolomite, and crystalline dolomite. It is in unconformable contact with the overlying Deng 3 Member. The Deng 3 Member is mainly composed of argillaceous siltstone and silt-bearing dolomite in the form of dark thin layers, and displays a conformable contact with the overlying Deng 4 Member. The Deng 4 Member is composed of crystalline dolomite, microbialite and silicified dolomite.
This study focuses on three stratigraphic sections in the northern Sichuan Basin: the Hujiaba section (32°57'22.8"N, 106°27'37.1"E) , the Yangba section (32°27'43"N, 106°47'26"E), and the Wuxi section (31°40'22"N, 109°10'16"E, near the Hanfengya Tunnel) . These sites are located at the intersection of northern Sichuan and northern Chongqing, along the northern margin of the Upper Yangtze region .
Fresh rock samples were crushed into smaller fragments and subsequently ground into fine powders using a mortar and pestle for a minimum of 20 minutes to ensure uniformity. Powder X-ray diffraction (XRD) analyses were performed using a Malvern PANalytical X’Pert Pro High-Resolution X-Ray Diffraction System with a CuKα radiation source (λ=1.5406 A). Data were collected over a 2θ range of 5° to 80° with a step size of 0.013°.
DOI: 10.6084/m9.figshare.29410559
title: EquFlash Matbench Discovery prediction results

description: Matbench Discovery prediction files of EquFlash
DOI: 10.6084/m9.figshare.29410559.v1
title: EquFlash Matbench Discovery prediction results

description: Matbench Discovery prediction files of EquFlash
DOI: 10.15468/dl.77a4ug
title: Occurrence Download

description: A dataset containing 326 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Flora of the “Końskie Łąki” and “Zarosłe Łąki” Meadows, Tricity Landscape Park"
 ]
}

 The dataset includes 326 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071491-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15747945
title: BIAS project expert interview responses

description: The BIAS project is concerned with studying how Artificial Intelligence is used in Human Resource Management contexts and in researching how AI used in HRM contexts can be less biased. From January–May 2023, semi-structured expert interviews were conducted with AI and HRM experts in Norway, Switzerland, Estonia, Türkiye, the Netherlands, and Iceland. These interviews consisted of quantiative questions with more qualitative discussion. This dataset presents the quantitative results from these interviews. 

This dataset provides a total of 32 HR expert responses (7 from Norway; 5 from Switzerland; 4 from Estonia, 5 from Türkiye, 6 from The Netherlands, and 5 from Iceland) and 24 AI expert responses (4 from Norway, 6 from Switzerland, 2 from Estonia, 5 from Türkiye, 2 from The Netherlands, and 5 from Iceland).

The interviews are analyzed in the BIAS deliverable D2.1 The intermediate report of the mapping, survey and expert interviews (https://doi.org/10.5281/zenodo.15650909)
DOI: 10.5281/zenodo.15747946
title: BIAS project expert interview responses

description: The BIAS project is concerned with studying how Artificial Intelligence is used in Human Resource Management contexts and in researching how AI used in HRM contexts can be less biased. From January–May 2023, semi-structured expert interviews were conducted with AI and HRM experts in Norway, Switzerland, Estonia, Türkiye, the Netherlands, and Iceland. These interviews consisted of quantiative questions with more qualitative discussion. This dataset presents the quantitative results from these interviews. 

This dataset provides a total of 32 HR expert responses (7 from Norway; 5 from Switzerland; 4 from Estonia, 5 from Türkiye, 6 from The Netherlands, and 5 from Iceland) and 24 AI expert responses (4 from Norway, 6 from Switzerland, 2 from Estonia, 5 from Türkiye, 2 from The Netherlands, and 5 from Iceland).

The interviews are analyzed in the BIAS deliverable D2.1 The intermediate report of the mapping, survey and expert interviews (https://doi.org/10.5281/zenodo.15650909)
DOI: 10.5281/zenodo.15753521
title: Mining Waste Deposits UHR (0.03m) Multispectral

description: Metadata Information






Identification





Full Title



Mining Waste Deposits UHR (0.03m) Multispectral





Abstract



Mining Waste Deposits UHR (0.03m) Multispectral





Keywords



Multispectral, Mining Waste Deposits, UAV, Drone





Pilot area



Gummern





Associated resources



/





Language



English





URL



/





Categories



UAV





Temporal reference





Creation date (dd.mm.yyyy)



06.09.2023





Revision date (dd.mm.yyyy)



06.09.2023





Quality and validity





Representation type



Other





Fromat



Other





Lineage



/





Spatial resolution



0.03m





Positional accuracy



/





Maintenance information



/





Coordinate system



EPSG 4326





Constranits related to access and use





Use limitation



/





Access constraint



/





Public/Private



Public





Responsible organisation





Responsible Contact



Enoc Sanz Ablanedo (esana@unileon.es)





Responsible Party



UNILEON





Metadata on metadata





Contact



Enoc Sanz Ablanedo (esana@unileon.es)





Metadata language



English
DOI: 10.5281/zenodo.15753522
title: Mining Waste Deposits UHR (0.03m) Multispectral

description: Metadata Information






Identification





Full Title



Mining Waste Deposits UHR (0.03m) Multispectral





Abstract



Mining Waste Deposits UHR (0.03m) Multispectral





Keywords



Multispectral, Mining Waste Deposits, UAV, Drone





Pilot area



Gummern





Associated resources



/





Language



English





URL



/





Categories



UAV





Temporal reference





Creation date (dd.mm.yyyy)



06.09.2023





Revision date (dd.mm.yyyy)



06.09.2023





Quality and validity





Representation type



Other





Fromat



Other





Lineage



/





Spatial resolution



0.03m





Positional accuracy



/





Maintenance information



/





Coordinate system



EPSG 4326





Constranits related to access and use





Use limitation



/





Access constraint



/





Public/Private



Public





Responsible organisation





Responsible Contact



Enoc Sanz Ablanedo (esana@unileon.es)





Responsible Party



UNILEON





Metadata on metadata





Contact



Enoc Sanz Ablanedo (esana@unileon.es)





Metadata language



English
DOI: 10.5281/zenodo.15688268
title: Dataset and code: Mammals in the city and animal personality
DOI: 10.15468/dl.nv34n3
title: Occurrence Download

description: A dataset containing 1479 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heliocarpus donnellsmithii Rose"
 ]
}

 The dataset includes 1479 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071493-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ywegf4
title: Occurrence Download

description: A dataset containing 7359 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 {
 "or" : [
 "Geometry POLYGON((-124.69163 49.99957,-126.88156 40.44352,-118.91819 32.57969,-116.03146 28.39892,-113.54291 30.29023,-118.12184 41.43895,-114.43879 48.30736,-124.69163 49.99957))",
 "Geometry POLYGON((0.24271 58.38051,-10.05835 56.06915,-14.73429 38.0581,-2.78466 33.55533,9.24824 40.71583,25.52746 35.69352,30.20341 43.83312,26.04701 60.11235,0.24271 58.38051))",
 "Geometry POLYGON((-66.0141 -32.5483,-67.35289 -39.85079,-58.95503 -39.72907,-59.07673 -32.42659,-66.0141 -32.5483))",
 "Geometry POLYGON((119.4691 26.48014,117.40005 22.09865,121.65984 19.54278,124.94596 23.19402,124.094 26.72356,119.4691 26.48014))",
 "Geometry POLYGON((103.40362 21.3684,101.45629 18.93424,104.98582 14.91787,108.27194 16.25666,108.63706 20.63815,103.40362 21.3684))",
 "Geometry POLYGON((173.19419 -37.20262,175.99348 -43.65316,178.91447 -40.36704,178.91447 -36.10725,173.19419 -37.20262))",
 "Geometry POLYGON((167.83903 -42.55779,163.82265 -47.06098,169.97762 -48.15635,173.26374 -46.57416,167.83903 -42.55779))",
 "Geometry POLYGON((150.01749 -31.36063,145.02746 -37.20262,149.16554 -40.12362,153.54703 -32.82113,150.01749 -31.36063))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Calocedrus Kurz"
 ]
}

 The dataset includes 7359 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071494-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ccy356
title: Occurrence Download

description: A dataset containing 13324957 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 GBIF_MGRSCODE(1000, decimallatitude, decimallongitude, COALESCE(coordinateuncertaintyinmeters, 1000)) mgrscellcode,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, GBIF_MGRSCODE(1000, decimallatitude, decimallongitude, COALESCE(coordinateuncertaintyinmeters, 1000)))) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, GBIF_MGRSCODE(1000, decimallatitude, decimallongitude, COALESCE(coordinateuncertaintyinmeters, 1000)))) genuscount,
 COUNT(*) occurrences
FROM
 occurrence
WHERE
 occurrence.basisofrecord IN ('PRESERVED_SPECIMEN', 'HUMAN_OBSERVATION')
 AND occurrence.countrycode = 'AU'
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.taxonkey = 7707728 OR occurrence.acceptedtaxonkey = 7707728 OR occurrence.kingdomkey = 7707728 OR occurrence.phylumkey = 7707728 OR occurrence.classkey = 7707728 OR occurrence.orderkey = 7707728 OR occurrence.familykey = 7707728 OR occurrence.genuskey = 7707728 OR occurrence.specieskey = 7707728)
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND (occurrence.specieskey IS NOT NULL AND occurrence.hascoordinate = TRUE)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 GBIF_MGRSCODE(1000, decimallatitude, decimallongitude, COALESCE(coordinateuncertaintyinmeters, 1000))

 The dataset's 13324957 records were derived from 374 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071503-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.27brma
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ephemeroptera",
 "Geometry POLYGON ((35.6306 -23.844, 35.6007 -23.8125, 35.6007 -24.0157, 35.6306 -23.844))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071496-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.13987610
title: Dataset and R script: Mammals in the city and animal personality: variation in trait expression, plasticity and behavioral syndrome along the urbanization gradient
DOI: 10.15468/dl.ujbyvb
title: Occurrence Download

description: A dataset containing 1982 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Indigofera tinctoria L."
 ]
}

 The dataset includes 1982 records from 170 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071497-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2d13h2
title: CCDC 2205603: Experimental Crystal Structure Determination

description: Related Article: Ren-Wu Huang, Xin Song, Shulin Chen, Jun Yin, Partha Maity, Jiayi Wang, Bingyao Shao, Hongwei Zhu, Chunwei Dong, Peng Yuan, Taimoor Ahmad, Omar F. Mohammed, Osman M. Bakr|2023|J.Am.Chem.Soc.|145|13816|doi:10.1021/jacs.3c02612
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d13rb
title: CCDC 2205611: Experimental Crystal Structure Determination

description: Related Article: Ren-Wu Huang, Xin Song, Shulin Chen, Jun Yin, Partha Maity, Jiayi Wang, Bingyao Shao, Hongwei Zhu, Chunwei Dong, Peng Yuan, Taimoor Ahmad, Omar F. Mohammed, Osman M. Bakr|2023|J.Am.Chem.Soc.|145|13816|doi:10.1021/jacs.3c02612
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.eqdp83
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Abelmoschus moschatus",
 "Country is Cook Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071499-250525065834625/datasets/export for details.
DOI: 10.17632/7djfgx2whd
title: Charitable Sports Events: A Systematic Literature Review and Directions for Future Research dataset

description: dataset
DOI: 10.17632/7djfgx2whd.1
title: Charitable Sports Events: A Systematic Literature Review and Directions for Future Research dataset

description: dataset
DOI: 10.17632/p2chr3ntth.1
title: Evaluating the ability of satellite remote sensing to detect changes in actual crop evapotranspiration under contrasting field management practices in the Czech Republic

description: This dataset includes XLS and R data files used for the evaluation of TSEB and METRIC remote sensing models against eddy covariance (EC) measurements. The data were collected at the Polkovice experimental field site in the Czech Republic and include actual crop evapotranspiration (ETc act) estimates, meteorological inputs, model outputs, and EC observations.
DOI: 10.17632/hbbvvs8dd3
title: Data associated with "Biosynthesis of Biphenomycin-like Macrocyclic Peptides by Formation and Crosslinking of ortho-Tyrosines" JACS doi:10.1021/jacs.5c06044

description: All source data associated with "Biosynthesis of Biphenomycin-like Macrocyclic Peptides by Formation and Crosslinking of ortho-Tyrosines", JACS 2025 doi:10.1021/jacs.5c06
DOI: 10.17632/hbbvvs8dd3.1
title: Data associated with "Biosynthesis of Biphenomycin-like Macrocyclic Peptides by Formation and Crosslinking of ortho-Tyrosines" JACS doi:10.1021/jacs.5c06044

description: All source data associated with "Biosynthesis of Biphenomycin-like Macrocyclic Peptides by Formation and Crosslinking of ortho-Tyrosines", JACS 2025 doi:10.1021/jacs.5c06
DOI: 10.15468/dl.rmqpwh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Abelmoschus moschatus",
 "Country is Micronesia (Federated States of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071500-250525065834625/datasets/export for details.
DOI: 10.17632/26xf2vm3zd
title: 2024 Survey Data on the Invasive Plant Solanum rostratum

description: This study focuses on sample plot survey data collected under varying degrees of Solanum rostratum invasion. The raw data is divided into two parts. The first part pertains to the survey of plant community diversity within each sample plot, with survey indicators including the number of plant species, total plant coverage within the plot, dominant species in the plot, plant names within the plot, and their respective sub-coverages. The second part involves the survey of plant functional diversity within each sample plot, with survey indicators encompassing plant species' height, biomass, average height, leaf length, leaf width, leaf thickness, leaf area, leaf texture, fruit type, flowering period, fruiting period, pollination method, seed dispersal mode, and nitrogen-fixation type. Plant community diversity indices and plant functional diversity indices were calculated using relevant formulas, and subsequently, the impact degree index of plant diversity indices was determined. In this context: "Metadata" represents the raw data; "Metadata2" is a table providing specific assignments for indicators such as leaf texture; "The calculation of plant community diversity indices and impact level indices" presents the calculation results of plant community diversity indices and their impact degree indices; and "The calculation of plant functional indices within quadrats" shows the calculation results of plant functional diversity indicators.The calculation formulas in the file are formulas for calculating relevant data.The "Study Area" section in the file contains information about the research area.
DOI: 10.17632/26xf2vm3zd.1
title: 2024 Survey Data on the Invasive Plant Solanum rostratum

description: This study focuses on sample plot survey data collected under varying degrees of Solanum rostratum invasion. The raw data is divided into two parts. The first part pertains to the survey of plant community diversity within each sample plot, with survey indicators including the number of plant species, total plant coverage within the plot, dominant species in the plot, plant names within the plot, and their respective sub-coverages. The second part involves the survey of plant functional diversity within each sample plot, with survey indicators encompassing plant species' height, biomass, average height, leaf length, leaf width, leaf thickness, leaf area, leaf texture, fruit type, flowering period, fruiting period, pollination method, seed dispersal mode, and nitrogen-fixation type. Plant community diversity indices and plant functional diversity indices were calculated using relevant formulas, and subsequently, the impact degree index of plant diversity indices was determined. In this context: "Metadata" represents the raw data; "Metadata2" is a table providing specific assignments for indicators such as leaf texture; "The calculation of plant community diversity indices and impact level indices" presents the calculation results of plant community diversity indices and their impact degree indices; and "The calculation of plant functional indices within quadrats" shows the calculation results of plant functional diversity indicators.The calculation formulas in the file are formulas for calculating relevant data.The "Study Area" section in the file contains information about the research area.
DOI: 10.17632/pn7h6yjt6k
title: Molecular and Pathological Characterization of Cervicovaginal Samples Reveals Protective Effects of Lactobacillus species Against HPV Infections, Bacterial Vaginosis, and Epithelial Cell Abnormalities

description: This dataset accompanies the manuscript “Molecular and pathological characterization of cervicovaginal samples reveals associations between Lactobacillus species, HPV infections, bacterial vaginosis, and cytological abnormalities” and comprises the raw, intermediate, and processed data used for epidemiological profiling, molecular analysis, statistical testing, interaction effect analysis, PCA, clustering, and machine learning modeling. It includes &gt;15,000 de-identified cervicovaginal samples collected by a CLIA-certified diagnostic laboratory in the United States between March 2023 and February 2024.

Each sample was tested using qPCR-based multiplex panels targeting Lactobacillus species, BV-associated bacteria, high-risk HPV genotypes, and other vaginal pathogens. Additional data include cytological diagnoses (Pap smear), patient demographics (age, gender, state of provider), and real-time qPCR concentration values. BV status was molecularly classified into BV-positive, BV-negative, and transitional BV based on concentration thresholds and combined bacterial profiles.

The dataset is organized as follows:

Dataset 1 – Epidemiology Stats: Aggregated demographics, HPV prevalence, cytology outcomes, and BV status distributions.

Dataset 2 – Association Analysis: Detailed qPCR results per pathogen with annotations for outcome classifications; includes derived prevalence and co-occurrence matrices.

Dataset 3 – Cytology & BV Outcomes: Binary and ordinal encoding of cytology and BV outcomes, filtered and pre-processed for regression and chi-square tests.

Dataset 4 – PCA, Clustering & ML: Scaled datasets used for principal component analysis, k-means clustering, feature importance extraction, and SHAP analysis across four classifiers (XGBoost, Random Forest, Decision Tree, Logistic Regression).

Supplementary Dataset 5 – Interaction Effects: Output tables from interaction term analysis (e.g., HPV–HPV, HPV–bacteria, Lactobacillus–bacteria) showing significant pairwise effects and q-values across multiple outcomes.

These datasets enable exploration of:

Microbial composition and distribution across patient subgroups.

Correlation and interaction between Lactobacillus spp., BV pathogens, HPV types, and cytological abnormalities.

Predictive power of microbial and demographic features for diagnosing BV and cytological changes.

The dataset is fully anonymized and compliant with HIPAA guidelines. It supports reproducibility and benchmarking of machine learning models in vaginal microbiome diagnostics and cervical cancer screening.