cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26838742
title: LA perceived and actual built environment

description: Aligning with the United Nations’ Sustainable Development Goals, the focus on creating safe, sustainable cities and enhancing the wellbeing of individuals across all age groups has become a central aspect of urban planning and environmental management. The environments we live in significantly influence our thoughts, emotions, and interactions with the world around us. Therefore, it is vital to explore how people perceive their surroundings and how these perceptions differ among various social groups, particularly in relation to social inequities in environmental exposure. Additionally, there is an ongoing need to address how improvements in the physical environment can enhance wellbeing and reduce these disparities within urban spaces. As such, our study aims to unveil the social inequity of neighborhood visual environment across different social/vulnerable groups (i.e., White, Black, Asian, Hispanic, low-income, low-educated, and unemployed) via crowdsourced street view imageries and computer vision and further examine which built environmental features that are associated with people’s visual perception towards the surrounding environment via multi-model machine learning methods, with the pilot study in Los Angeles County. Neighborhoods with a high concentration of Black, Hispanic, and low-income, low-educated and unemployed populations have a higher level of boring and depressive perception while a lower level of beautiful, liveable, safe, and wealthy perception. The most important actual built environment features positively associated with the neighborhood soundness include the density of canopy, followed by the density of multiple units, the distance to CBD, and car commuting to destinations, regardless of social groups. The perceived visual environment in the neighborhoods with a high concentration of Black, Hispanic, and low-educated groups can be not well explained by actual built environment features, reflecting the possibility that other underlying variables (e.g., personal preference, place attachment or other subjective factors) confound their perception on surrounding environment. The conceptual framework and analytical workflow used in this study can be readily applied in cross-disciplinary studies more broadly, to guide through urban planning, urban design, and healthy city initiatives with place-based evidence.
DOI: 10.15468/dl.2hw265
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spergularia rubra",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 29 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027402-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26838742.v1
title: Data and code

description: Aligning with the United Nations’ Sustainable Development Goals, the focus on creating safe, sustainable cities and enhancing the wellbeing of individuals across all age groups has become a central aspect of urban planning and environmental management. The environments we live in significantly influence our thoughts, emotions, and interactions with the world around us. Therefore, it is vital to explore how people perceive their surroundings and how these perceptions differ among various social groups, particularly in relation to social inequities in environmental exposure. Additionally, there is an ongoing need to address how improvements in the physical environment can enhance wellbeing and reduce these disparities within urban spaces. As such, our study aims to unveil the social inequity of neighborhood visual environment across different social/vulnerable groups (i.e., White, Black, Asian, Hispanic, low-income, low-educated, and unemployed) via crowdsourced street view imageries and computer vision and further examine which built environmental features that are associated with people’s visual perception towards the surrounding environment via multi-model machine learning methods, with the pilot study in Los Angeles County. Neighborhoods with a high concentration of Black, Hispanic, and low-income, low-educated and unemployed populations have a higher level of boring and depressive perception while a lower level of beautiful, liveable, safe, and wealthy perception. The most important actual built environment features positively associated with the neighborhood soundness include the density of canopy, followed by the density of multiple units, the distance to CBD, and car commuting to destinations, regardless of social groups. The perceived visual environment in the neighborhoods with a high concentration of Black, Hispanic, and low-educated groups can be not well explained by actual built environment features, reflecting the possibility that other underlying variables (e.g., personal preference, place attachment or other subjective factors) confound their perception on surrounding environment. The conceptual framework and analytical workflow used in this study can be readily applied in cross-disciplinary studies more broadly, to guide through urban planning, urban design, and healthy city initiatives with place-based evidence.
DOI: 10.6084/m9.figshare.26838742.v2
title: LA perceived and actual built environment

description: Aligning with the United Nations’ Sustainable Development Goals, the focus on creating safe, sustainable cities and enhancing the wellbeing of individuals across all age groups has become a central aspect of urban planning and environmental management. The environments we live in significantly influence our thoughts, emotions, and interactions with the world around us. Therefore, it is vital to explore how people perceive their surroundings and how these perceptions differ among various social groups, particularly in relation to social inequities in environmental exposure. Additionally, there is an ongoing need to address how improvements in the physical environment can enhance wellbeing and reduce these disparities within urban spaces. As such, our study aims to unveil the social inequity of neighborhood visual environment across different social/vulnerable groups (i.e., White, Black, Asian, Hispanic, low-income, low-educated, and unemployed) via crowdsourced street view imageries and computer vision and further examine which built environmental features that are associated with people’s visual perception towards the surrounding environment via multi-model machine learning methods, with the pilot study in Los Angeles County. Neighborhoods with a high concentration of Black, Hispanic, and low-income, low-educated and unemployed populations have a higher level of boring and depressive perception while a lower level of beautiful, liveable, safe, and wealthy perception. The most important actual built environment features positively associated with the neighborhood soundness include the density of canopy, followed by the density of multiple units, the distance to CBD, and car commuting to destinations, regardless of social groups. The perceived visual environment in the neighborhoods with a high concentration of Black, Hispanic, and low-educated groups can be not well explained by actual built environment features, reflecting the possibility that other underlying variables (e.g., personal preference, place attachment or other subjective factors) confound their perception on surrounding environment. The conceptual framework and analytical workflow used in this study can be readily applied in cross-disciplinary studies more broadly, to guide through urban planning, urban design, and healthy city initiatives with place-based evidence.
DOI: 10.71819/ib1fhd
title: Coleção Biológica de Crustacea do IF Baiano

description: Essa coleção destina-se como repositório do material coletado em projetos de pesquisa desenvolvidos pelos docentes da instituição. Especificamente, essa coleção receberá os espécimes de crustacea obtidos em projetos. A principal ténica de preservação e manutenção do material se dá por via úmida, em álcool 70% e formalina.
DOI: 10.15468/dl.3ss77k
title: Occurrence Download

description: A dataset containing 783 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spergularia rubra",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 783 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027401-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bxkcku
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Parapentas battiscombei",
 "Geometry POLYGON ((-17.62504 -34.81917, 51.13387 -34.81917, 51.13387 37.34999, -17.62504 37.34999, -17.62504 -34.81917))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 38 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027403-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29237660.v2
title: <b>Visium spatial transcriptomics data for individual oral squamous cell carcinoma (OSCC) patients</b>

description: This dataset contains the 10x Genomics Space Ranger output files for four individual human oral squamous cell carcinoma (OSCC) samples, supporting the findings of our study:"<b>Spatial colocalization and molecular crosstalk of myofibroblastic CAFs and tumor cells shape lymph node metastasis in oral squamous cell carcinoma</b>".For each of the four samples (Sample A [HUH001-P, Sample B [HUH001-P2], Sample C [HUH001-met], and Sample D [HUH002-P]), the following files and folders are provided:1. The filtered feature-barcode matrix in HDF5 format (filtered_feature_bc_matrix.h5).2. A spatial subfolder containing:High-resolution tissue image (tissue_hires_image.png)Low-resolution tissue image (tissue_lowres_image.png)Fiducial alignment image (aligned_fiducials.jpg)Tissue detection image (detected_tissue_image.jpg)Scale factors JSON file (scalefactors_json.json)Tissue spot coordinates CSV file (tissue_positions_list.csv)3. A patho_annot subfolder containing annotation files in TXT format for each respective sample. These files link annotations to spot barcodes and provide detailed information for each spot, including columns for:Barcode (the unique spot identifier)patho (primary pathological annotation ID)graph-based cluster (computationally assigned cluster ID based on gene expression)patho_diag (detailed pathological diagnostic information or feature)category (a broader classification category for the spot, e.g., tumor, peritumor, non_tumor)description (additional descriptive text or notes for the spot)These files allow for the direct import, reprocessing, and reanalysis of individual samples using standard spatial transcriptomics software packages such as Seurat (e.g., the Load10X_Spatial function) or Scanpy/Squidpy (e.g., the read_visium function).The raw sequencing reads for these samples are available at DDBJ under BioProject accession PRJDB13905 (https://ddbj.nig.ac.jp/search/entry/bioproject/PRJDB13905).A processed and integrated AnnData object (.h5ad) combining these four samples is available at GEA under accession E-GEAD-511 (https://ddbj.nig.ac.jp/public/ddbj_database/gea/experiment/E-GEAD-000/E-GEAD-511/). Supplementary spatial metadata components (pickled Python objects) for use with the integrated AnnData object are available at Figshare (https://doi.org/10.6084/m9.figshare.20408067).All patient-derived images included in this dataset were de-identified prior to deposition.
DOI: 10.5281/zenodo.17058153
title: Earthquake catalog and seismicity cross sections for "Earthquake catalog for Minto Flats fault zone, central Alaska, based on waveform cross-correlation for events 2014–2019"

description: This collection of files is a supplement to the submitted manuscript of Sims et al. (2025). The collection contains a text file of the seismicity catalog, as well as vertical cross sections.
DOI: 10.5281/zenodo.16278806
title: Earthquake catalog and seismicity cross sections for "Earthquake catalog for Minto Flats fault zone, central Alaska, based on waveform cross-correlation for events 2014–2019"

description: This collection of files is a supplement to the submitted manuscript of Sims et al. (2025). The collection contains a text file of the seismicity catalog, as well as vertical cross sections.
DOI: 10.15468/dl.sfzbr7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zosterops vellalavella",
 "Country is one of (Myanmar, Thailand, Lao People’s Democratic Republic, Cambodia, Viet Nam, Malaysia)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027404-250827131500795/datasets/export for details.
DOI: 10.15468/dl.hm5ff6
title: Occurrence Download

description: A dataset containing 54365 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Hieracium sabaudum"
 ]
}

 The dataset includes 54365 records from 488 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027310-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yxtxsv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Cryptocephalus pini (Linnaeus, 1758)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Country is Ukraine"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0133779-230530130749713/datasets/export for details.
DOI: 10.15468/dl.5z48z5
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Occurrence evidence",
 "Country is Indonesia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Melaleuca cajuputi Powell"
 ]
}

 The dataset includes 22 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0331792-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vnceuj
title: Occurrence Download

description: A dataset listing the 14908 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is France",
 "TaxonKey is Plantae",
 "Year 1960-2020"
 ]
}

 The dataset's 14908 records were derived from 471 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029024-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p7grs9
title: Occurrence Download

description: A dataset containing 348 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Schizochilus zeyheri Sond."
 ]
}

 The dataset includes 348 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0118010-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e82pc5
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.14_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Davidia involucrata Baill."
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0335362-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.znmmdp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anas marecula Olson & Jouventin, 1996"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088986-210914110416597/datasets/export for details.
DOI: 10.15468/dl.p7p3hk
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Pyrgus sidae (Esper, 1784)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Country is Ukraine"
 ]
}

 The dataset includes 23 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0133782-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hrwjhe
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chelonia mydas agassizi Bocourt, 1868"
 ]
}

 The dataset includes 52 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001557-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fwtb5f
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nemacheilus petrubanarescui Menon, 1984"
 ]
}

 The dataset includes 18 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0335124-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fu9kv3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Nomada pectoralis Morawitz, 1877",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Country is Ukraine"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0133810-230530130749713/datasets/export for details.
DOI: 10.15468/dl.jrgamq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dendroctonus adjunctus Blandford, 1897",
 {
 "or" : [
 "Country is United States",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123328-210914110416597/datasets/export for details.
DOI: 10.15468/dl.nqx5ep
title: Occurrence Download

description: A dataset containing 1315 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia sieboldiana C.Morren & Decne.",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1315 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0386513-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uuyv9w
title: Occurrence Download

description: A dataset containing 27290 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bird Monitoring Data"
 ]
}

 The dataset includes 27290 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0200584-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zn6swt
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Viola bustillosia Gay"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031571-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3yfnsb
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bunomys coelestis (Thomas, 1896))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 58 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006067-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ysfuu2
title: Occurrence Download

description: A dataset containing 14164 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Araucaria angustifolia (Bertol.) Kuntze"
 ]
}

 The dataset includes 14164 records from 209 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006068-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13732470
title: Lab_33_OTHER - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards

description: Lab_33_OTHER - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards - mzML files
This dataset is part of the ILS Ceramide Ring Trial. The suffix 'SOP' indicates that the results were obtained using the recommended and standard operating procedure protocol to prepare and measure all samples, while the suffix 'OTHER' indicates that the corresponding lab prepared and measured the samples according to their own internal protocol. Please check the corresponding mapping file 'ILS-Ceramide-Ring-Trial-Datasets.csv' in the ILS Ceramide Ring Trial record for a mapping of the originally submitted lab reports and the final lab number as reported in the manuscript.
All reports together with the code for analysis and visualization, reproducing the figures in the manuscript, are available under the following doi: https://zenodo.org/doi/10.5281/zenodo.10081970. This links to releases of the following GitHub repository: https://github.com/lifs-tools/ils-ceramide-ring-trial. The archived version of the lab reports, workflow source code and manuscript visualizations are also available here.
Please note that most datasets have been acquired in MRM mode, such that the msconvert conversion to mzML has stored the MRM data in the chromatogram part of the mzML files. 
The msconvert Docker container (Proteowizard release: 3.0.24172 (63d00b1), build date Jun 202 2024 20:01:14) was used with the native vendor libraries / peak picking for conversion, using default arguments. m/z values were encoded with 64 bit (default), while intensity values were encoded with 32 bit (default). All binary data was zlib-compressed.