cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48539/hbm943.hdlm.983
title: Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) table for Spinal Cord, v1.1

description: Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) tables (https://humanatlas.io/asctb-tables) aim to capture<br>anatomical human body parts, the typology of cells, and biomarkers used to identify cell types. The tables are<br>authored and reviewed by an international team of experts. The Spinal Cord v1.0 table focuses on lumbar spinal cord<br>cell types from [Yadav et al., “A Cellular Taxonomy of the Adult Human Spinal Cord”]<br>(https://doi.org/10.1016/j.neuron.2023.01.007) with a companion [Human Spinal Cord snRNAseq Viewer]<br>(https://vmenon.shinyapps.io/humanspinalcord/) which presents a cellular taxonomy of the adult human spinal cord using<br>single-nucleus RNA sequencing with spatial transcriptomics and antibody<br>validation. <br> <br>**Bibliography:**<br><br>* Yadav, Archana, Kaya J. E. Matson, Li Li, Isabelle Hua, Joana Petrescu, Kristy Kang, Mor R. Alkaslasi, et al. 2023. “A Cellular Taxonomy of the Adult Human Spinal Cord.” *Neuron* 111 (3): 328–344.e7. https://doi.org/10.1016/j.neuron.2023.01.007.<br>* Börner, Katy, Sarah A. Teichmann, Ellen M. Quardokus, James C. Gee, Kristen Browne, David Osumi-Sutherland, Bruce W. Herr II, et al. 2021. “Anatomical Structures, Cell Types and Biomarkers of the Human Reference Atlas.” *Nature Cell Biology* 23 (11): 1117–28. https://doi.org/10.1038/s41556-021-00788-6.
DOI: 10.5285/38dc51ee-9d78-8ed3-e063-7086abc07001
title: Processed multibeam bathymetry grids from the Porcupine Abyssal Plain Sustained Observatory (PAP-SO) (DY130, 2021)

description: Multibeam swath bathymetry data at the Porcupine Abyssal Plain Sustained Observatory (PAP-SO) were collected with a hull-mounted Kongsberg EM122 echosounder (12 kHz) during RRS Discovery cruise DY130 (Chief Scientist Susan Hartman) between March-April 2021. The cruise was conducted to map Whittard Canyon, a deep ocean canyon in the Bay of Biscay, and the Porcupine Abyssal Plain Sustained Observatory (PAP-SO), a fixed-point, open-ocean, scientific observatory. The data were edited using Caris HIPS software by Catherine Wardell and gridded at 50 m spacing in a WGS84 UTM Zone 28N. The vertical datum of the data is matched to mean sea level (MSL). They were exported as longitude-latitude-depth triples. Funding was provided to CLASS (Climate Linked Atlantic Sector Science), the National Capability Single Sector Marine Research Programme by NERC.
DOI: 10.48539/hbm595.jngt.446
title: Anatomical Structures, Cell Types and Biomarkers (ASCT+B) Tables to 3D Reference Object Library Crosswalk, v1.5

description: This lookup table maps [Anatomical Structures, Cell Types and Biomarkers (ASCT+B)<br>Table](https://humanatlas.io/asctb-tables) terms to anatomical structure terms used in the [3D Reference Object<br>Library](https://humanatlas.io/3d-reference-library).
DOI: 10.5519/qd.oipzton3
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5175 records)
DOI: 10.48539/hbm373.vpsc.692
title: 3D Reference Organ for Lung, Male, v1.0

description: [This reference organ](https://humanatlas.io/3d-reference-library) was created using data from the Visible Human Male,<br>provided by the National Library of Medicine.
DOI: 10.48539/hbm344.jppz.497
title: OMAP-24: Organ Mapping Antibody Panel (OMAP) for Multiplexed  Antibody-Based Imaging of Human Pancreas with CyCIF, v1.0

description: OMAP-24 was developed using cyclic immunofluorescence (CyCIF) to detect 13 protein biomarkers in the human pancreas,<br>with a specific emphasis on pancreatic ganglia and nervous innervation. Human FFPE pancreas samples were fixed in 4%<br>paraformaldehyde (PFA) and processed according to the Human Pancreas Processing protocol (Chen et al. 2022). This<br>panel contributes spatial data for anatomical structures and cell types defined in the ASCT+B pancreas table v1.3<br>(Campbell-Thompson, Eskaros, and Saunders 2023), with a focus on nervous structures, an area not previously addressed<br>in earlier OMAPs. Images from sequential CyCIF staining rounds were aligned using nuclear markers DAPI (cycle 1) and<br>Hoechst S769121 (cycles 2 and 3). Antigen retrieval was performed at 95°C for 25 minutes in 1X AR9 solution using a<br>vegetable steamer. Detection involved a combination of OPAL TSA fluorophores and Alexa Fluor-conjugated secondary<br>antibodies. Primary antibodies requiring TSA amplification used various HRP polymer reagents from Vector Laboratories<br>and Akoya Biosciences. No antibody cycle sensitivity was observed during testing. OMAP-24 builds upon earlier<br>pancreas-focused panels (OMAP-6 and OMAP-13), but uniquely adds spatial mapping of pancreatic ganglia and nerve<br>innervation. This is the first OMAP to focus on the neuroanatomy of the pancreas, providing insights relevant to<br>pancreatic disorders such as type 1 diabetes. Glial, interstitial, and immune cells were not included in this version<br>due to limitations in antibody availability. The full staining protocol is available at Ewing et al. (2025), and a<br>sample dataset can be accessed at Zenodo (Ewing and Campbell-Thompson 2025).<br><br>**Bibliography:**<br><br>* Campbell-Thompson, Martha, Adel Eskaros, and Diane Saunders. 2023. “Pancreas (v1.3) Graph Data, v1.3.” https://lod.humanatlas.io/asct-b/pancreas/v1.3/.<br>* Chen, Jing, Edward J. Butfiloski, cxm, and Martha Campbell-Thompson. 2022. “Human Pancreas Processing.” https://www.protocols.io/view/human-pancreas-processing-b7gxrjxn.<br>* Ewing, Samuel, and Martha Campbell-Thompson. 2025. “Pancreas Organ Mapping Antibody Panel (OMAP) Using CyCIF to Stain Pancreatic Ganglia.” Zenodo. https://zenodo.org/records/14867745.<br>* Ewing, Samuel, Hong Huang, Sydney Haselden, Lith Nasif, and Martha Campbell-Thompson. 2025. “Multiplex Immunofluorescence for Human Pancreatic Ganglia.” https://doi.org/10.17504/protocols.io.261ger4djl47/v1.<br>* Martinez Casals, Anna, and Frida Björklund. 2024. “6-Pancreas-Codex (v1.3) Graph Data, v1.3.” https://lod.humanatlas.io/omap/6-pancreas-codex/v1.3/.<br>* Saunders, Diane, and Conrad Reihsmann. 2024. “13-Pancreas-Codex (v1.1) Graph Data, v1.1.” https://lod.humanatlas.io/omap/13-pancreas-codex/v1.1/.
DOI: 10.48539/hbm677.xshp.683
title: OMAP-26: Organ Mapping Antibody Panel (OMAP) for Multiplexed Antibody-Based  Imaging of Human Kidney with IMS-CODEX, v1.0

description: OMAP-26 was developed for CO-Detection by indEXing (CODEX) imaging of fresh frozen human kidney tissues, following<br>imaging mass spectrometry (IMS), as described in (Pham et al. 2025). The panel includes 22 antibodies and the nuclear<br>marker DAPI for image registration. This OMAP captures spatial context for all functional tissue units (FTUs) of the<br>nephron, as well as basement membranes, vasculature, lymphatics, stromal, and adaptive immune cells (B and T cells).<br>It does not include innate immune cells. The antibody panel in OMAP-26 significantly overlaps with other kidney panels<br>including OMAP-3 (Neumann and Farrow 2024), OMAP-9 (Barwinska et al. 2024), OMAP-14 (de Caestecker 2024), and OMAP-20<br>(Esselman 2024). All antibodies in OMAP-26 are also included in the expanded CODEX kidney panel OMAP-27<br>(https://doi.org/10.48539/HBM228.CPGH.632). OMAP-26 supports spatial mapping of structures and cell types listed in<br>the ASCT+B kidney table v1.6 (Jain et al. 2024). This panel was optimized and validated for use following MALDI IMS<br>imaging, supporting multimodal data integration. Additional details on sample preparation and antibody validation are<br>provided by the VU Biomolecular Multimodal Imaging Center and the Spraggins Research Group (2025).<br><br>**Bibliography:**<br><br>* Barwinska, Daria, Tarek M. El-Achkar, Angela R. Sabo, Michael J. Ferkowicz, Seth Winfree, and William S. Bowen. 2024.“9-Kidney-Codex (v1.3) Graph Data, v1.3.” https://lod.humanatlas.io/omap/9-kidney-codex/v1.3/.<br>* Caestecker, Mark de. 2024. “14-Kidney-Cycif (v1.0) Graph Data, v1.0.” https://lod.humanatlas.io/omap/14-kidney-cycif/v1.0/.<br>* Esselman, Allison. 2024. “20-Kidney-Ims-Cycif (v1.0) Graph Data, v1.0.” https://lod.humanatlas.io/omap/20-kidney-ims-cycif/v1.0/.<br>* Jain, Sanjay, M. Todd Valerius, Yongqun He, Tarek El-Achkar, Michael Eadon, and Jeffrey Spraggins. 2024. “Kidney (v1.6) Graph Data, v1.6.” https://lod.humanatlas.io/asct-b/kidney/v1.6/.<br>* Neumann, Elizabeth K., and Melissa Farrow. 2024. “3-Kidney-Codex (v1.3) Graph Data, v1.3.” https://lod.humanatlas.io/omap/3-kidney-codex/v1.3/.<br>* Pham, Thai, Lukasz Migas, Madeline E. Colley, Ellie Pringy, Anna Smith, Jamie Allen, Mark De Caestecker, et al. 2025. “Post MALDI IMS CODEX Staining and Imaging Fresh Frozen Tissue.” https://www.protocols.io/view/post-maldi-ims-codex-staining-and-imaging-fresh-fr-dzy277ye.<br>* VU Biomolecular Multimodal Imaging Center / Spraggins Research Group. 2025. “VU Biomolecular Multimodal Imaging Center / Spraggins Research Group - Research Workspace on Protocols.Io.” https://www.protocols.io/workspaces/BIOMIC.
DOI: 10.48539/hbm689.cgpv.442
title: 3D Reference Organ for Skin, Male, v1.0

description: [This reference organ](https://humanatlas.io/3d-reference-library) was created with the Open Source modelling tool<br>MakeHuman; screenshots of Visible Human Male provided by the National Library of Medicine were used to model<br>dimensions. The head and neck regions were replaced with custom models and the bodies were further adjusted using<br>Pixelogic Zbrush.
DOI: 10.48539/hbm533.jrgw.354
title: Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) table for Knee, v1.0

description: [Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) tables](https://humanatlas.io/asctb-tables) aim to<br>capture the nested *part_of* structure of anatomical human body parts, the typology of cells, and biomarkers used to<br>identify cell types. The tables are authored and reviewed by an international team of experts.
DOI: 10.5281/zenodo.17099797
title: Dataset for Case studies of different types of precipitation at Ny-Ålesund, Arctic

description: The dataset consists of observations from a ceilometer, micro rain radar (MRR), disdrometer, and microwave radiometer collected at Ny-Ålesund, Svalbard. The periods of observation include 18 December 2018, 6-7 June 2020, and 14–16 November 2020.
DOI: 10.5281/zenodo.17099798
title: Dataset for Case studies of different types of precipitation at Ny-Ålesund, Arctic

description: The dataset consists of observations from a ceilometer, micro rain radar (MRR), disdrometer, and microwave radiometer collected at Ny-Ålesund, Svalbard. The periods of observation include 18 December 2018, 6-7 June 2020, and 14–16 November 2020.
DOI: 10.48539/hbm825.sjzf.445
title: Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) table for Ovary, v1.1

description: [Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) tables](https://humanatlas.io/asctb-tables) aim to<br>capture the nested *part_of* structure of anatomical human body parts, the typology of cells, and biomarkers used to<br>identify cell types. The tables are authored and reviewed by an international team of experts.
DOI: 10.48539/hbm792.lcdv.873
title: Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) table for Ovary, v1.3

description: Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) tables (https://humanatlas.io/asctb-tables) aim to capture<br>the nested ovary structure of anatomical human body parts, the typology of cells, and biomarkers used to identify cell<br>types. The tables are authored and reviewed by an international team of experts. The ovary ASCT+B table provides a<br>hierarchical mapping of ovarian anatomical structures, including the cortex, medulla, follicles, and corpus luteum. It<br>details associated cell types such as granulosa cells, theca cells, and oocytes, along with relevant biomarkers. This<br>comprehensive mapping supports research into ovarian biology and related medical conditions.
DOI: 10.48539/hbm784.zdzf.357
title: 3D Reference Organ for Vasculature, Male, v1.0

description: [This reference organ](https://humanatlas.io/3d-reference-library) was created using data from the Visible Human Male,<br>provided by the National Library of Medicine.
DOI: 10.48539/hbm392.lpkf.942
title: Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) table for Thymus, v1.1

description: [Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) tables](https://humanatlas.io/asctb-tables) aim to<br>capture the nested *part_of* structure of anatomical human body parts, the typology of cells, and biomarkers used to<br>identify cell types. The tables are authored and reviewed by an international team of experts.
DOI: 10.48539/hbm493.nghw.438
title: Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) table for Lymph Node, v1.3

description: [Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) tables](https://humanatlas.io/asctb-tables) aim to<br>capture the nested *part_of* structure of anatomical human body parts, the typology of cells, and biomarkers used to<br>identify cell types. The tables are authored and reviewed by an international team of experts. The lymph node ASCT+B<br>tables are derived from published literature, public datasets, and domain expertise from the authors. The table<br>provides a reference for a canonical human mesenteric lymph node; however, it is anticipated that these tables will be<br>amended to reflect lymph nodes draining other sites of the human body and changes arising from inflammation and other<br>perturbations. The gross anatomy of the lymph node was highly influenced by the following text:[(Willard-Mack<br>2006)](https://doi.org/10.1080/01926230600867727). Cell types and gene biomarkers derived from sequencing studies were<br>derived from the following studies:[(James et al. 2020)](https://doi.org/10.1038/s41590-020-0602-z), [(Xiang et al.<br>2020)](https://doi.org/10.3389/fcvm.2020.00052), and [(Szabo et al.<br>2019)](https://doi.org/10.1038/s41467-019-12464-3)). Gene biomarkers for stromal cells were obtained from an<br>orthogonal study in mice ([Rodda et al. 2018](https://doi.org/10.1016/j.immuni.2018.04.006)). Several studies<br>employing flow cytometry and immunohistochemistry aided in the identification of protein biomarkers. To support<br>granular phenotyping, we list all reported biomarkers including negative and differentially expressed proteins. We<br>anticipate further refinement from multimodal studies that pair sequencing and imaging studies from the same human<br>sample. In total, this table reports 34 anatomical structures, 45 cell types, and 223 biomarkers.
DOI: 10.48539/hbm674.fkts.997
title: Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) table for Palatine tonsil, v1.1

description: ''
DOI: 10.21227/atkd-9h23
title: "Tennis Match Statistics"

description: "The dataset contains a total of 20,562 data sets. The ball speed of the two players ranges from 98 km\/h to 226 km\/h, with an average ball speed of 166.72 km\/h. As shown in Table 1, the movement distances of the two players are generally similar, but the maximum value of Player 1 is higher than that of Player 2. For serve directions, they are divided into five categories: 1 (body serve), 2 (body\/middle), 3 (body\/crosscourt), 4 (middle), 5 (crosscourt); for the situation of serving close to the boundary line, \"close\" is recorded as 1, and \"not close\" is recorded as 2. Since the latter two variables are categorical variables, their mean and variance are not listed in Table 1."
DOI: 10.5066/p13jyvfk
title: Paleomagnetic data from Kīlauea volcano, Island of Hawaiʻi

description: This dataset includes paleomagnetic analyses of lava samples from Kīlauea volcano, Island of Hawaiʻi. Analyses were performed using a cryogenic magnetometer in Menlo Park, California, USA. The data were collected as part of fundamental geologic mapping of the Southwest Rift Zone, East Rift Zone, summit, and south flank regions of Kīlauea volcano, Island of Hawaiʻi. These data (when integrated with geologic mapping, geochronology, and geochemistry) are used to correlate and constrain ages of lava flows across Kīlauea.

Paleomagnetic samples were collected, processed, and interpreted using the methods of McElhinny (1973). Part of these methods is sample selection of lava flow outcrops, and establishing that they have not moved noticeably since acquiring their remanent magnetization. This is subjective to the person collecting the samples. Samples were collected in the field with a handheld, gasoline-powered, 2.5 cm diameter coring drill and oriented using both sun and magnetic compasses. Generally, 8 to 12 cylindrical samples of 10-cm-length were collected at each site. Cores that are 2.2 cm long were cut from the larger cylinders and measured using an automatic cryogenic magnetometer at the U.S. Geological Survey Menlo Park facility and subjected to progressive alternating-field demagnetization to remove secondary components of magnetization. An isothermal remanent magnetization resulting in high magnetic sample intensities caused by proximal lightning strikes was the principal source of secondary magnetization. Care was taken during alternating-field demagnetization to populate the lowest coercivity intervals of samples with multiple steps to establish the earliest part of the arc connecting the direction of the sample’s fundamental isothermal remanent magnetization overprint to the direction of the original thermoremanent magnetization; two vectors in space define a great circle arc. This caution improves the precision of the intersection of separate sample arcs of the planes solution for a sample from sites (<5 percent) for which AF demagnetization cannot ultimately separate the isothermal remanent magnetization and thermoremanent magnetization (Kirschvink, 1980). The characteristic direction of remanent magnetization for each site was calculated using Fisher statistics on directional data from individual core demagnetization line fits using vector component diagrams, plane fits on equal-area diagrams, or mixtures of lines and planes data (Kirschvink, 1980).

Kirschvink, J.L., 1980, The least-square line and plane and the analysis of paleomagnetic data: Geophysical Journal International, v. 62, p. 699–718.

McElhinny, M.W., 1973, Paleomagnetism and plate tectonics: Cambridge, United Kingdom, University Press, 368 p.
DOI: 10.48539/hbm956.bbrc.928
title: Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) table for Main Bronchus, v1.1
DOI: 10.48539/hbm668.rblw.256
title: 3D Reference Organ for Lymph Node, Male, Left, v1.0

description: This reference organ, Left-lymph-node-male (https://humanatlas.io/3d-reference-library) was created using the<br>Clearing-enhanced 3D (Ce3D) method developed by Dr. Weizhe Li, Laboratory of Immune System Biology, National Institute<br>of Allergy and Infectious Diseases, NIH using data documented in (Li, Germain, and Gerner 2017). While the size and<br>cellular composition of mouse and human lymph nodes varies between species, the overall anatomy is well-conserved.<br><br>**Bibliography:**<br><br>* Li, Weizhe, Ronald N. Germain, and Michael Y. Gerner. 2017. “Multiplex, Quantitative Cellular Analysis in Large Tissue Volumes with Clearing-Enhanced 3D Microscopy (Ce3D).” *Proceedings of the National Academy of Sciences* 114 (35): E7321–30. https://doi.org/10.1073/pnas.1708981114.
DOI: 10.15468/dl.me5csw
title: Occurrence Download

description: A dataset containing 1885 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chondrochelia dubia (Krøyer, 1842)"
 ]
}

 The dataset includes 1885 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064346-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.umksjp
title: Occurrence Download

description: A dataset containing 24642 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Lanius ludovicianus Linnaeus, 1766"
 ]
}

 The dataset includes 24642 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0188284-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nxj0jm
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Colección de Poales del Museo Botánico CORD - IMBIV",
 "TaxonKey is Puccinellia glaucescens (Phil.) Parodi"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032047-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qw5sec
title: Occurrence Download

description: A dataset listing the 5 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Vanda tricolor Lindl."
 ]
}

 The dataset's 5 records were derived from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064320-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.95b2kj
title: Occurrence Download

description: A dataset containing 13848 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Attalea phalerata Mart. ex Spreng."
 ]
}

 The dataset includes 13848 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0184467-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zcgurq
title: Occurrence Download

description: A dataset containing 118210 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mimosa L."
 ]
}

 The dataset includes 118210 records from 508 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032049-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.32h73u
title: Occurrence Download

description: A dataset containing 596 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Thailand",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hylobates lar (Linnaeus, 1771)"
 ]
}

 The dataset includes 596 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013017-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ffvx9x
title: Occurrence Download

description: A dataset containing 218 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Kalanchoe Adans."
 ]
}

 The dataset includes 218 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001399-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u2fnib
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Maihueniopsis colorea (F.Ritter) F.Ritter"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032049-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.