cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48539/hbm322.nhhn.582
title: Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) table for Bone Marrow, v1.4

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 bone marrow table<br>reflects sampling from the iliac crest from the ilium bone of the bony pelvis. Minor changes were made for v1.4 to<br>ensure all cell types were mapped to Cell Ontology and genes and proteins were mapped to the Human Gene Ontology<br>(HUGO) Gene Nomenclature Committee (HGNC).
DOI: 10.48539/hbm636.mrbj.524
title: Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) table for Palatine tonsil, v1.0
DOI: 10.48539/hbm625.zlpr.824
title: OMAP-21: Organ Mapping Antibody Panel (OMAP) for Multiplexed Antibody-Based Imaging of Palatine Tonsil (FFPE) with MICS on MACSima, v1.2

description: OMAP-21 was developed for MICS (MACSima Imaging Cyclic Staining) imaging of human formalin-fixed, paraffin-embedded<br>(FFPE) palatine tonsil samples. The tissue fixation and antigen retrieval protocol is detailed in Neil et al. (2023).<br>This panel employs the MACSima platform, described in Kinkhabwala et al. (2022), which enables highly multiplexed<br>imaging through iterative immunolabeling and photobleaching cycles using FITC, PE, and APC-conjugated antibodies. The<br>panel consists of 47 antibodies and the nuclear marker DAPI for alignment and segmentation. Most antibodies are<br>recombinant and incorporate a modified human IgG1 constant region to prevent Fc receptor binding and reduce<br>non-specific staining, thus eliminating the need for additional blocking. OMAP-21 provides spatial resolution of all<br>anatomical structures and most cell types in the human tonsil and closely mirrors previous OMAPs, including OMAP-1 for<br>human lymph node (Radtke 2024) and OMAP-10 for palatine tonsil (Müller, Rüberg, and Bosio 2023). Image analysis was<br>conducted using MACSIQ View Analysis software, which processes raw images from the MACSima run, generates stitched<br>composites, and supports downstream analytical functions such as cell segmentation, gating, normalization, tSNE/UMAP<br>dimensionality reduction, heat maps, distance, and cluster analysis—all interactively linked. The dataset and results<br>are available via Zenodo (Müller et al. 2024). OMAP-21 is the second MICS-based panel released, and v1.1 specifically<br>updates UniProt IDs for CD45 isoforms to reflect CD45RB (P08575-9), CD45RA (P08575-8), and CD45RO (P08575-4).<br><br>**Bibliography:**<br><br>* Kinkhabwala, Ali, Christoph Herbel, Jennifer Pankratz, Dmytro A. Yushchenko, Silvia Rüberg, Paurush Praveen, Sandy Reiß, et al. 2022. “MACSima Imaging Cyclic Staining (MICS) Technology Reveals Combinatorial Target Pairs for CAR T Cell Treatment of Solid Tumors.” *Scientific Reports* 12 (1): 1911. https://doi.org/10.1038/s41598-022-05841-4.<br>* Müller, Werner, Julia Femel, Silvia Rüberg, and Andreas Bosio. 2024. “OMAP-21: Organ Mapping Antibody Panel (OMAP) for Multiplexed Antibody-Based Imaging of Human Palatine Tonsil with MICS on MACSima 1.5.” Zenodo. https://zenodo.org/records/13132639.<br>* Müller, Werner, Silvia Rüberg, and Andreas Bosio. 2023. “10-Palatine-Tonsil-Mics (v1.0) Graph Data, v1.0.” 2023. https://lod.humanatlas.io/omap/10-palatine-tonsil-mics/v1.0/.<br>* Neil, Emily, Dongju Park, Rebecca C. Hennessey, Eric C. DiBiasio, Michael DiBuono, Hanna Lafayette, Erica Lloyd, et al. 2023. “Spatial Protein and RNA Analysis on the Same Tissue Section Using MICS Technology.” bioRxiv. https://doi.org/10.1101/2023.10.27.564191.<br>* Radtke, Andrea J. 2024. “1-Human-Lymph-Node-Ibex (v1.4) Graph Data, v1.4.” 2024. https://lod.humanatlas.io/omap/1-human-lymph-node-ibex/v1.4/.
DOI: 10.48539/hbm699.blks.298
title: 3D Reference Organ for Lymph Node, Male, Right, v1.0

description: This reference organ, Right-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: 10.48539/hbm888.lnhn.284
title: OMAP-16 Organ Mapping Antibody Panel (OMAP) for Multiplexed Antibody-Based Imaging of Human Lung with CODEX, v1.0

description: OMAP-16 was designed for Multiplexed Immunofluorescent (MxIF) imaging of human FFPE lung sections utilizing Akoya’s<br>Phenocycler-Fusion platform as described dx.doi.org/10.17504/protocols.io.6qpvr38dpvmk/v2. The panel contains<br>34-antibodies and the nuclear marker DAPI for image alignment and nuclear segmentation. OMAP-16 provides spatial<br>context for airway, vasculature, and alveolar features and identifies 35 of 72 key epithelial, endothelial, and immune<br>cell types in the ASCT+B lung table v1.2 (https://hubmapconsortium.github.io/ccf-releases/v1.2/docs/asct-b/lung.html).<br>OMAP-16 does not identify Cap1 and Cap2 endothelium, eosinophils/basophils, fibroblast/pericytes, neuroendocrine<br>cells, ciliated cells, chondrocytes, NK cells as Ab-Barcode conjugates targeting specific markers for these cell types<br>are in development. For select images cell segmentation based on DAPI stained nuclei was performed utilizing the<br>respective StarDist extension in QuPATH 0.3.2. Vascular smooth muscle and airway epithelial features are annotated<br>and classified by thresholding the ACTA2 and PanCK signals by utilizing the Pixel classifier in QuPath as<br>described. Object data is then exported as a GeoJSON file. Details regarding antigen retrieval in AR9 Buffer (Akoya<br>Biosciences) at high pressure (110C) 20’ and MxIF imaging lung section can be found in the protocol cited above. The<br>antibody validation protocol can be found here dx.doi.org/10.17504/protocols.io.36wgq3b9olk5/v1. Protein targets were<br>detected with antibody barcode conjugates obtained directly from Akoya Biosciences, or via custom conjugation of<br>commercially available antibodies utilizing antibody conjugation kit (Cat# 232195, Akoya). When imaging proximal lung<br>tissue containing large airway and vascular features, antibodies directed against extracellular matrix and vascular<br>smooth muscle should be imaged within the first five cycles to mitigate potential loss of feature integrity during<br>later cycles.
DOI: 10.48539/hbm325.nblb.267
title: Blood Vasculature Organ Crosswalk, v1.3

description: [Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) tables](https://humanatlas.io/asctb-tables) aim to<br>capture anatomical human body parts, the typology of cells, and biomarkers used to identify cell types. The tables<br>are authored and reviewed by an international team of experts. This table provides a crosswalk from vessels in the<br>blood vasculature ASCT+B table to anatomical structures in other organ ASCT+B tables. The Relationship column<br>indicates whether the vessel is “part_of”, “overlaps”, “supplies”, “drains”, “directly_supplies_drains”,<br>“located_in”, or “connected_to” the anatomical structure in the BodySubPart column.<br><br>A vessel can relate to more than one anatomical structure; and, those relationships can occur in a particular order.<br>For example, the vessel can pass through several structures along its length. The BodyPartSequence column indicates<br>the sequence of those structures, from the proximal to distal end of the vessel. <br><br>The BodySubPart structure is contained within the anatomical structure listed in the BodyPart column. The BodyPart is<br>typically an organ or organ system. The FTU column indicates if the vessel is part of a functional tissue unit (the<br>smallest tissue organization that performs a unique physiologic function in an organ). The angiosome column indicates<br>if the vessel is associated with an angiosome (a region of muscle, bone, and skin supplied by a main artery).<br><br>IDs are provided for the Vessel, BodySubPart, BodySubPartSequence, BodyPart, FTU, and Angiosome columns to enable<br>linkage to other datasets and ontologies.
DOI: 10.48539/hbm594.hcjd.563
title: Organ Mapping Antibody Panel (OMAP) for Multiplexed Antibody-Based Imaging of Human Skin with Cell DIVE, v1.0

description: OMAP-22 was designed for Cell DIVE multiplexed imaging of formalin-fixed paraffin-embedded (FFPE) human skin. Cell<br>DIVE enables highly multiplexed single cell analysis using antibody-based imaging (Gerdes, MJ. et al, 2013). The<br>tissue slides were prepared with a two-step antigen retrieval process (pH 6 and pH 9, as described in<br>https://dx.doi.org/10.17504/protocols.io.bpwumpew). Antigens were detected using either primary antibodies with<br>fluorophore-labeled secondaries or fluorescent dye-conjugated antibodies (protocol can be found at<br>https://dx.doi.org/10.17504/protocols.io.b4kgqutw). The panel contains 34 antibodies and the nuclear marker DAPI for<br>image registration and nuclear segmentation. This updated OMAP provides a spatial context for most anatomical<br>structures and cell types present in the [ASCT+B skin table, v1.3](https://doi.org/10.48539/HBM785.XBPB.444). This<br>OMAP builds from OMAP-4 (https://doi.org/10.48539/HBM485.ZCFD.459) and additionally includes: CD103, CD14, CD1a,<br>CD207, CD34, F13A1, CDKN1A, KRT1, KRT5, KRT7, KRT10, MLANA, PDPN, TPSAB1, and VWF. Updates from OMAP-4 include<br>identification of specific keratinocyte populations. Additionally, the panel now identifies dermal dendritic cell<br>populations, mast cells, melanocytes, and Langerhans cells. The inclusion of protein biomarkers DDB2, CDKN1A, and p53<br>allow profiling of skin damage and aging effects. Other updates include the use of commercially available conjugates<br>in place of custom conjugations when available for down-selected antibody clones. Representative datasets created<br>using this OMAP are publicly available on the HuBMAP data portal.
DOI: 10.6084/m9.figshare.30104746
title: <b>Data and code of "Investigating the Effects of Visual Signals on Open Collaboration Platforms: Evidence from GitHub’s Activity Overview"</b>

description: This repository contains all data and code necessary to replicate the analyses reported in the manuscript. The dataset includes contributor-level information, pull request records, and activity events. The code files provide scripts for data preprocessing, statistical modeling, and figure generation. Detailed instructions are included in the README.md file to ensure reproducibility.
DOI: 10.6084/m9.figshare.30104746.v1
title: <b>Data and code of "Investigating the Effects of Visual Signals on Open Collaboration Platforms: Evidence from GitHub’s Activity Overview"</b>

description: This repository contains all data and code necessary to replicate the analyses reported in the manuscript. The dataset includes contributor-level information, pull request records, and activity events. The code files provide scripts for data preprocessing, statistical modeling, and figure generation. Detailed instructions are included in the README.md file to ensure reproducibility.
DOI: 10.48539/hbm933.mrzd.495
title: OMAP-7 Organ Mapping Antibody Panel (OMAP) for Multiplexed Antibody-Based Imaging of Human Lung with Cell DIVE, v1.2

description: OMAP-7 was designed for Cell DIVE imaging of Formalin-Fixed Paraffin-Embedded (FFPE) lung tissue. Cell DIVE enables<br>highly multiplexed single cell analysis using antibody-based imaging (Gerdes, MJ. et al, 2013). The tissue slides were<br>prepared with a two-step antigen retrieval process (pH 6 and pH 9, as described<br>https://dx.doi.org/10.17504/protocols.io.bpwumpew. Antigens were detected using either primary antibodies with<br>fluorophore-labeled secondaries or fluorescent dye conjugated antibodies (protocol can be found<br>https://dx.doi.org/10.17504/protocols.io.b4kgqutw. The panel contains 30 antibodies, 4 of which are used for cell<br>segmentation (Na/K ATPase, Cytokeratin, Cadherin, and S6) and the nuclear marker DAPI for image alignment and nuclear<br>segmentation. This OMAP provides a spatial context for key cell types in the[ASCT+B lung table<br>v1.1](https://doi.org/10.48539/HBM323.SGDF.945). Additionally, the inclusion of protein biomarkers such as AGTR1,<br>Cathepsin L, TMPRSS2, ICAM-1, and CD55 allow characterization of proteins relevant to SARS-CoV-2 infection and<br>profiling of the renin-angiotensin system (RAS) that may play a role in COVID-19 disease. The core and essential<br>protein biomarkers detailed here overlap (~25%) with the panel developed for multiplexed imaging of lung samples<br>established using conventional automated IHC staining for FFPE-material (Dr. Christopher Werlein, an expert lung<br>pathologist). This OMAP does not contain antibodies for typing subsets of fibroblasts, macrophages, or endothelial<br>cells. A representative dataset using this OMAP can be found here: https://zenodo.org/record/7731162#.ZBmz2nbMIuU.
DOI: 10.48539/hbm573.shcq.259
title: Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) table for Lymph Node, 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: 10.15468/dl.wcrxz2
title: Occurrence Download

description: A dataset containing 908058 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Australia)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 1991"
 ]
}

 The dataset includes 908058 records from 363 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053520-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qdq5hi
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "TaxonKey is Cedrela odorata L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 115 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031989-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6kverv
title: Occurrence Download

description: A dataset containing 621381 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ukraine",
 "OccurrenceStatus is Present",
 "Year 2020-2021"
 ]
}

 The dataset includes 621381 records from 186 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070810-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wzgrb6
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Cannabis sativa L."
 ]
}

 The dataset includes 71 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005765-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a4guhj
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Blakea trianae (Cogn.) Penneys & Judd"
 ]
}

 The dataset includes 71 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0146034-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ni3ctz
title: Occurrence Download

description: A dataset containing 5042394 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "Country is India",
 "Year 1999-2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5042394 records from 243 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031991-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mb5m9u
title: Occurrence Download

description: A dataset containing 45728 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Icterus cucullatus Swainson, 1827"
 ]
}

 The dataset includes 45728 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0188274-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.boslup
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "TaxonKey is Cedrela odorata L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 115 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031991-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.urnkv5
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bulbophyllum amblyanthum Schltr."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070985-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.re3m9z
title: Occurrence Download

description: A dataset containing 168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Gossypium L."
 ]
}

 The dataset includes 168 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0188269-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ma8gax
title: Occurrence Download

description: A dataset containing 22331 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Callitriche hamulata Kütz. ex W.D.J.Koch"
 ]
}

 The dataset includes 22331 records from 354 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071001-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jjj0ef
title: Occurrence Download

description: A dataset containing 10369 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 {
 "or" : [
 "TaxonKey is Cheirolophus crassifolius (Bertol.) Susanna",
 "TaxonKey is Palaeocyanus crassifolius (Bertol.) Dostál",
 "TaxonKey is Tolpis proustii Pit.",
 "TaxonKey is Tolpis calderae Bolle",
 "TaxonKey is Senecio auricula Bourgeau ex Coss.",
 "TaxonKey is Senecio leucophyllus DC.",
 "TaxonKey is Senecio boissieri DC.",
 "TaxonKey is Senecio adonidifolius Loisel.",
 "TaxonKey is Allagopappus viscosissimus Bolle",
 "TaxonKey is Heteranthemis viscidehirta Schott",
 "TaxonKey is Argyranthemum escarrei (Svent.) Humphries",
 "TaxonKey is Argyranthemum sventenii Humphries & Aldridge",
 "TaxonKey is Argyranthemum coronopifolium (Willd.) Humphries",
 "TaxonKey is Argyranthemum lemsii Humphries",
 "TaxonKey is Argyranthemum frutescens (L.) Sch.Bip.",
 "TaxonKey is Argyranthemum webbii Sch.Bip.",
 "TaxonKey is Argyranthemum adauctum (Link) Humphries",
 "TaxonKey is Argyranthemum callichrysum (Svent.) Humphries",
 "TaxonKey is Argyranthemum filifolium (Sch.Bip.) Humphries",
 "TaxonKey is Argyranthemum broussonetii (Balb. ex Pers.) Humphries",
 "TaxonKey is Argyranthemum hierrense Humphries",
 "TaxonKey is Argyranthemum haouarytheum Humphries & Bramwell",
 "TaxonKey is Argyranthemum maderense (D.Don) Humphries",
 "TaxonKey is Argyranthemum thalassophilum (Svent.) Humphries",
 "TaxonKey is Carlina canariensis Pit.",
 "TaxonKey is Carlina texedae Marrero Rodr.",
 "TaxonKey is Carlina falcata Svent.",
 "TaxonKey is Carlina xeranthemoides L.fil.",
 "TaxonKey is Andryala agardhii Haens. ex DC.",
 "TaxonKey is Andryala crithmifolia Aiton",
 "TaxonKey is Sonchus pitardii Boulos",
 "TaxonKey is Sonchus macrocarpus Boulos & C.Jeffrey",
 "TaxonKey is Sonchus tectifolius Svent.",
 "TaxonKey is Sonchus gummifer Link",
 "TaxonKey is Lactucosonchus webbii (Sch.Bip.) Svent.",
 "TaxonKey is Sonchus fauces-orci Knoche",
 "TaxonKey is Sonchus maritimus L.",
 "TaxonKey is Sonchus bourgeaui Sch.Bip.",
 "TaxonKey is Sonchus radicatus Aiton",
 "TaxonKey is Sonchus tuberifer Svent."
 ]
 }
 ]
}

 The dataset includes 10369 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031992-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tjdmzz
title: Occurrence Download

description: A dataset containing 344 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helicops hagmanni Roux, 1910"
 ]
}

 The dataset includes 344 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005768-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wf827z
title: Occurrence Download

description: A dataset containing 860 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus ilex L.)",
 "Country is one of (Spain)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 860 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025095-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dz52zk
title: Occurrence Download

description: A dataset containing 3259 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Florística de áreas protegidas en el estado de Durango"
 ]
}

 The dataset includes 3259 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031991-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.