cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17475270
title: Data - Pivotal Clinical Evidence Supporting European Centralised Approvals of New Active Substances between 2023 and 2024

description: Data use for the study titled "Pivotal Clinical Evidence Supporting European Centralised Approvals of New Active Substances between 2023 and 2024" 

Data consists of 3 datasheets (.csv) PivotalEvidence_cleanData_Sample.csv, PivotalEvidence_cleanData_ApprovedIndications.csv and PivotalEvidence_cleanData_PivotalTrials.csv. 

Data can be linked using the variable EMA.product.number and Indication.MeSH. In the ReadMe.csv there is a short description of all variables in the three data sheets.

All data was collected in July/August 2025, and include all New Active substances approve by through the Europena union Centralised procedure.
DOI: 10.15468/dl.8xnmej
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.29_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ptyas nigromarginata"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002139-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n9n32h
title: Occurrence Download

description: A dataset containing 2400 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Carex rupestris",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 2400 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002141-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/wl9jyb
title: Patrimônios culturais e lugares de memória afro-brasileiros em Campinas/SP

description: Tabelas e dados sobre os patrimônios culturais de Campinas tombados pelo CONDEPACC entre os anos de 1988 e 2023, juntamente aos lugares de memória levantados pelo Projeto Campinas Afro (2021) em uma associação entre UNESCO e Prefeitura de Campinas
DOI: 10.5281/zenodo.18799480
title: Hourly Average Temperature from Station Observations Interpolated with Copula over Germany (1995–1998)

description: This dataset contains hourly average temperature data interpolated from station observations using Gaussian copula method. The data are provided in NetCDF4 format, covering the period 1995–1998.

The dataset is part of a larger dataset spanning 1991–2024, based on observations from 577 weather stations. Of these stations, 123 have less than 10% missing data over the full period, but all available information from all stations was used to produce the interpolated hourly dataset.

Original station data are available at: 



https://opendata.dwd.de/climate_environment/CDC/observations_germany/climate/hourly/air_temperature


 

The dataset includes:





Variables: Hourly temperature (°C)




Spatial coverage: Germany




Temporal coverage: 1 January 1995 – 31 December 1998, hourly resolution




Processing: Observations were interpolated using Gaussian copula-based method.



Notes:





This is Part 2 of the full 1991–2024 dataset.




For the next time period (1999–2002), see the corresponding Zenodo record: 

10.5281/zenodo.18801016




Each file is self-contained and includes all variables, time steps, and metadata.
DOI: 10.5281/zenodo.18799481
title: Hourly Average Temperature from Station Observations Interpolated with Copula over Germany (1995–1998)

description: This dataset contains hourly average temperature data interpolated from station observations using Gaussian copula method. The data are provided in NetCDF4 format, covering the period 1995–1998.

The dataset is part of a larger dataset spanning 1991–2024, based on observations from 577 weather stations. Of these stations, 123 have less than 10% missing data over the full period, but all available information from all stations was used to produce the interpolated hourly dataset.

Original station data are available at: 



https://opendata.dwd.de/climate_environment/CDC/observations_germany/climate/hourly/air_temperature


 

The dataset includes:





Variables: Hourly temperature (°C)




Spatial coverage: Germany




Temporal coverage: 1 January 1995 – 31 December 1998, hourly resolution




Processing: Observations were interpolated using Gaussian copula-based method.



Notes:





This is Part 2 of the full 1991–2024 dataset.




For the next time period (1999–2002), see the corresponding Zenodo record: 

10.5281/zenodo.18801016




Each file is self-contained and includes all variables, time steps, and metadata.
DOI: 10.15468/dl.nh47by
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Neolamprologus brichardi"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002143-260226173443078/datasets/export for details.
DOI: 10.3886/e246427
title: School of Nursing, National Orthopaedic Hospital Igbobi 2026/2027 Admission Form Is On Sale.Call 09017730052 To Apply and further admission assistance. Call Admin +2349017730052

description: School of Nursing, National Orthopaedic Hospital Igbobi
 2026/2027 Admission Form Is On Sale.Call 09017730052 To Apply and further admission assistance. Call Admin +2349017730052
DOI: 10.3886/e246427v2
title: School of Nursing, National Orthopaedic Hospital Igbobi 2026/2027 Admission Form Is On Sale.Call 09017730052 To Apply and further admission assistance. Call Admin +2349017730052

description: School of Nursing, National Orthopaedic Hospital Igbobi
 2026/2027 Admission Form Is On Sale.Call 09017730052 To Apply and further admission assistance. Call Admin +2349017730052
DOI: 10.6084/m9.figshare.31182265
title: PFAS Exposure: Wide-scope Suspect Screening Reanalysis of High-resolution Mass Spectrometry Data

description: Repository Contents – Supplementary_TablesThis repository contains the supplementary data tables supporting the wide-scope PFAS suspect screening and retrospective reanalysis of LC–HRMS exposomics datasets. The files document the construction of the suspect list, successive filtering steps, and the identification of homologous series across datasets.File descriptions<code><strong>sus_list_complete.csv</strong></code><br>Complete wide-scope PFAS suspect list used for retrospective suspect screening. The table includes structural identifiers, physicochemical descriptors, predicted retention indices, and annotation metadata, forming the basis for all subsequent feature detection steps.<code><strong>Dataset1_suspects_filtered_by_95pct_prediction.csv;</strong></code><code><strong>Dataset2_suspects_filtered_by_95pct_prediction_KMD.csv</strong></code><br>Subset of suspect candidates retained for Dataset 1 and Dataset 2 after applying the filtering based on data and RT–RI model. This table represents high-confidence candidates compatible with the mass domain and chromatographic behavior of the analytical method.<code><strong>common_homolog_series.csv</strong></code><br>Summary table listing PFAS homologous series shared between Dataset 1 and Dataset 2, identified based on CF₂-normalized KMD patterns.<code><strong>Dataset1_PFAS_IS_filtered.csv; Dataset2_sus_list_IS_ok.csv</strong></code><br>List of PFAS internal standards from study design of Dataset 1 and Dataset 2. These compounds were used to anchor retention behavior and confidence levels in the RT-RI model filtering.<code><strong>Suspect_PFAS_UPDATED_Dataset1.csv</strong></code><br>Updated suspect candidate entries of previously identified structures (Hexafluoro-1,2-propanediol and Tris(2-methylpropyl) 3-(perfluorobutanamido)propane-1,1,3-tricarboxylate).NotesAll tables are provided in <code>.csv</code> format to facilitate reuse, inspection, and downstream analysis.
DOI: 10.6084/m9.figshare.31182265.v1
title: PFAS Exposure: Wide-scope Suspect Screening Reanalysis of High-resolution Mass Spectrometry Data

description: Repository Contents – Supplementary TablesThis repository contains the supplementary data tables supporting the wide-scope PFAS suspect screening and retrospective reanalysis of LC–HRMS exposomics datasets. The files document the construction of the suspect list, successive filtering steps, and the identification of homologous series across datasets.File descriptions<code><strong>sus_list_complete.csv</strong></code><br>Complete wide-scope PFAS suspect list used for retrospective suspect screening. The table includes structural identifiers, physicochemical descriptors, predicted retention indices, and annotation metadata, forming the basis for all subsequent feature detection steps.<code><strong>Dataset1_suspects_filtered_by_95pct_prediction.csv;</strong></code><code><strong>Dataset2_suspects_filtered_by_95pct_prediction_KMD.csv</strong></code><br>Subset of suspect candidates retained for Dataset 1 and Dataset 2 after applying the filtering based on data and RT–RI model. This table represents high-confidence candidates compatible with the mass domain and chromatographic behavior of the analytical method.<code><strong>common_homolog_series.csv</strong></code><br>Summary table listing PFAS homologous series shared between Dataset 1 and Dataset 2, identified based on CF₂-normalized KMD patterns.<code><strong>Dataset1_PFAS_IS_filtered.csv; Dataset2_sus_list_IS_ok.csv</strong></code><br>List of PFAS internal standards from study design of Dataset 1 and Dataset 2. These compounds were used to anchor retention behavior and confidence levels in the RT-RI model filtering.NotesAll tables are provided in <code>.csv</code> format to facilitate reuse, inspection, and downstream analysis.
DOI: 10.6084/m9.figshare.31182265.v2
title: PFAS Exposure: Wide-scope Suspect Screening Reanalysis of High-resolution Mass Spectrometry Data

description: Repository Contents – Supplementary_TablesThis repository contains the supplementary data tables supporting the wide-scope PFAS suspect screening and retrospective reanalysis of LC–HRMS exposomics datasets. The files document the construction of the suspect list, successive filtering steps, and the identification of homologous series across datasets.File descriptions<code><strong>sus_list_complete.csv</strong></code><br>Complete wide-scope PFAS suspect list used for retrospective suspect screening. The table includes structural identifiers, physicochemical descriptors, predicted retention indices, and annotation metadata, forming the basis for all subsequent feature detection steps.<code><strong>Dataset1_suspects_filtered_by_95pct_prediction.csv;</strong></code><code><strong>Dataset2_suspects_filtered_by_95pct_prediction_KMD.csv</strong></code><br>Subset of suspect candidates retained for Dataset 1 and Dataset 2 after applying the filtering based on data and RT–RI model. This table represents high-confidence candidates compatible with the mass domain and chromatographic behavior of the analytical method.<code><strong>common_homolog_series.csv</strong></code><br>Summary table listing PFAS homologous series shared between Dataset 1 and Dataset 2, identified based on CF₂-normalized KMD patterns.<code><strong>Dataset1_PFAS_IS_filtered.csv; Dataset2_sus_list_IS_ok.csv</strong></code><br>List of PFAS internal standards from study design of Dataset 1 and Dataset 2. These compounds were used to anchor retention behavior and confidence levels in the RT-RI model filtering.<code><strong>Suspect_PFAS_UPDATED_Dataset1.csv</strong></code><br>Updated suspect candidate entries of previously identified structures (Hexafluoro-1,2-propanediol and Tris(2-methylpropyl) 3-(perfluorobutanamido)propane-1,1,3-tricarboxylate).NotesAll tables are provided in <code>.csv</code> format to facilitate reuse, inspection, and downstream analysis.
DOI: 10.15468/dl.3szwpu
title: Occurrence Download

description: A dataset containing 11334 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Dryas octopetala",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 11334 records from 177 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002145-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k9ydaf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Neolamprologus buescheri"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002147-260226173443078/datasets/export for details.
DOI: 10.15468/dl.ekhdwe
title: Occurrence Download

description: A dataset listing the 73 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)",
 "Continent is Europe",
 "Country is Italy",
 "Geometry POLYGON((11.12574 43.05631,10.90069 42.91991,11.02607 42.66038,11.2672 42.59888,11.45046 42.7478,11.51154 42.91756,11.12574 43.05631))",
 "HasGeospatialIssue is false",
 "Locality is one of (Grosseto Prov., Grosseto, Siena Prov.)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 73 records were derived from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002127-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fg2tck
title: Occurrence Download

description: A dataset containing 11825354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonId is not null",
 "GbifId is not null",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2024-03-02",
 "EventDate is less than or equal to 2025-03-02",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 11825354 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002107-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24355/dbbs.084-202511141130-0
title: CT data from a miniaturised direct shear test on partially saturated sand
title: CT Daten aus einem miniaturisierten direkten Scherversuch an teilgesättigtem Sand

description: This dataset contains a series of X-ray computed tomography (CT) data from a minaturised direct shear test on partially saturated sand. After each displacement-controlled shear step, a 3D tomography was acquired in order to study the impact of shearing on the capillary state inside of the soil specimen. The dataset contains the temporal series of CT images together with the macroscopic results of the shear test, i. e., measurements of shear force vs. shear displacement. The dataset is referred to in different publications that will be added to this repository entry.
DOI: 10.5281/zenodo.18802717
title: A Key Workstation Identification Model for Assembly Produc-tion Based on the Network with Manufacturing Attributes

description: Supported by complex network theory, this study integrates three core elements—benchmark, structure, and function—to construct a comprehensive identification framework that fully incorporates manufacturing attributes and network characteristics. Specifically, workstations are mapped as network nodes, and the comprehensive correlation strength among these three elements is quantified as edge weights, thereby establishing a scientific undirected weighted network model.
DOI: 10.15468/dl.rugzbp
title: Occurrence Download

description: A dataset containing 1532 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Polyrhachis dives"
 ]
}

 The dataset includes 1532 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002148-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18802716
title: A Key Workstation Identification Model for Assembly Produc-tion Based on the Network with Manufacturing Attributes

description: Supported by complex network theory, this study integrates three core elements—benchmark, structure, and function—to construct a comprehensive identification framework that fully incorporates manufacturing attributes and network characteristics. Specifically, workstations are mapped as network nodes, and the comprehensive correlation strength among these three elements is quantified as edge weights, thereby establishing a scientific undirected weighted network model.
DOI: 10.60629/wfvk-vg04
title: Palaeoecological Dataset from Sobota (Sobota_2020 profile), Poland

description: <p><span style="color:rgb( 31 , 31 , 31 )">This dataset provides a high-resolution reconstruction of vegetation changes, fire dynamics, and erosion in the vicinity of a Funnel Beaker Culture (TRB) cemetery in Sobota, western Poland. The data is derived from the Sob_2020 sediment profile (350–250 cm depth), representing the Neolithic period.</span></p><p><span style="color:rgb( 31 , 31 , 31 )">The repository includes the following primary data files (originally tabs within Supplementary Data 2. Sobota_full_dataset.xlsx):</span></p><p><span style="color:rgb( 31 , 31 , 31 )">- OxCal code.csv: The script containing the Bayesian P_Sequence model used to establish the Sobota_2020 profile’s chronology.</span></p><p><span style="color:rgb( 31 , 31 , 31 )">- Age-depth values_F3.csv: The age-depth relationships (BCE), 1 sigma error (calibrated years), sedimentation rates retrieved from the age-depth model.</span></p><p><span style="color:rgb( 31 , 31 , 31 )">- Pollen %_F4,5,6.csv: Calculated percentage values adjusted for percentage diagrams in Figs 4 and 5 used to determine vegetation composition, and NMDS based on percentage pollen values in Fig. 6. </span></p><p><span style="color:rgb( 31 , 31 , 31 )">- Pollen PAR_F4,5,6,7.csv: Pollen Accumulation Rates (grains cm⁻² yr⁻¹), providing a proxy for absolute plant productivity. Data are applied to determine vegetation composition in Figs 4 and 5, NMDS based on PAR values in Fig. 6, and Fig. 7 box-plots; in this file, there is also microcharcoal (0.01-0.1 mm) (particles cm⁻² yr⁻¹).</span></p><p><span style="color:rgb( 31 , 31 , 31 )">- Macrocharcoal_F4,6,8.csv: macrocharcoal data as raw values and accumulation rates (particles cm⁻² yr⁻¹), and microcharcoal accumulation rate (0.01-0.1 mm)(particles cm⁻² yr⁻¹). </span></p><p><span style="color:rgb( 31 , 31 , 31 )">- OrgMat-grain size_F3,4,5,6.csv: Lithological data including CaCO₃ content, organic matter (LOI), and granulometric parameters (mean phi, sorting, sand/silt/clay percentages) used to track erosion, lake shallowing, and carbonate sedimentation.</span></p><p><span style="color:rgb( 31 , 31 , 31 )">- Pollen_raw data- full dataset.csv: Raw counts of pollen grains, spores, other non-pollen palynomorphs (NPPs), and microcharcoal.</span></p><p><span style="color:rgb( 31 , 31 , 31 )">- Pollen %_full dataset.csv: Percentage values of all identified pollen grains, spores, other non-pollen palynomorphs (NPPs), and microcharcoal.</span></p>
DOI: 10.5281/zenodo.18802719
title: Data_prenatal_breastfeeding

description: Data on sociodemographic characteristics, number of prenatal visits, and breastfeeding knowledge in Rio de Janeiro (Macaé - RJ, Brazil).

Data from the Center for Studies on Breastfeeding, Food and Nutrition Institute, Multidisciplinary Center UFRJ-Macae, Federal University of Rio de Janeiro, Macae, Rio de Janeiro, Brazil.
DOI: 10.5281/zenodo.18802718
title: Data_prenatal_breastfeeding

description: Data on sociodemographic characteristics, number of prenatal visits, and breastfeeding knowledge in Rio de Janeiro (Macaé - RJ, Brazil).

Data from the Center for Studies on Breastfeeding, Food and Nutrition Institute, Multidisciplinary Center UFRJ-Macae, Federal University of Rio de Janeiro, Macae, Rio de Janeiro, Brazil.
DOI: 10.6084/m9.figshare.31430998.v1
title: BST pediatric feeding data

description: Percentage of mealtime components accurately completed for caregivers across baseline, instructions and modeling, rehearsal and feedback in the clinic, and rehearsal and feedback in the home.
DOI: 10.6084/m9.figshare.31430998
title: BST pediatric feeding data

description: Percentage of mealtime components accurately completed for caregivers across baseline, instructions and modeling, rehearsal and feedback in the clinic, and rehearsal and feedback in the home.
DOI: 10.15468/dl.9yn6ew
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Neolamprologus caudopunctatus"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002151-260226173443078/datasets/export for details.