cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.d8y87z
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "Country is one of (Pakistan, China)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Uncia uncia",
 "Year 2015-2025"
 ]
}

 The dataset includes 32 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052940-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.jap.30747305
title: Supplementary material

description: Here we discuss the theory for fitting our EOS curve. Along with this we provided our experimental and theoretical data here.
DOI: 10.60893/figshare.jap.30747305.v1
title: Supplementary material

description: Here we discuss the theory for fitting our EOS curve. Along with this we provided our experimental and theoretical data here.
DOI: 10.60893/figshare.jap.30739238
title: Supporting Information

description: Detailed information on on PL measurement evaluation
DOI: 10.60893/figshare.jap.30739238.v1
title: Supporting Information

description: Detailed information on on PL measurement evaluation
DOI: 10.60893/figshare.jap.30751712
title: Supplementary Material

description: the computational details of solar-to-hydrogen (STH) efficiency; the calculated partial densities of states (PDOS) of Janus TaOClBr.
DOI: 10.60893/figshare.jap.30751712.v1
title: Supplementary Material

description: the computational details of solar-to-hydrogen (STH) efficiency; the calculated partial densities of states (PDOS) of Janus TaOClBr.
DOI: 10.25493/6prt-2ps
title: Probabilistic cytoarchitectonic map of Area OP3 (POperc) (v9.2)

description: This dataset contains the distinct probabilistic cytoarchitectonic map of Area OP3 (POperc) in the individual, single subject template of the MNI Colin 27 reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using classical histological criteria and quantitative cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to the reference space, where each voxel was assigned the probability to belong to Area OP3 (POperc). The probability map of Area OP3 (POperc) is provided in NifTi format for each hemisphere in the reference space. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and updated probability estimates for new brain structures may in some cases lead to measurable but negligible deviations of existing probability maps, as compared to earlier released datasets. Other available data versions of Area OP3 (POperc): Eickhoff et al. (2019) [Data set, v9.4] [DOI: 10.25493/1Z8F-PX4](https://doi.org/10.25493%2F1Z8F-PX4) Eickhoff et al. (2020) [Data set, v11.0] [DOI: 10.25493/V715-BQU](https://doi.org/10.25493%2FV715-BQU) The most probable delineation of Area OP3 (POperc) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.13] [DOI: 10.25493/Q3ZS-NV6](https://doi.org/10.25493%2FQ3ZS-NV6) Amunts et al. (2019) [Data set, v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D)
DOI: 10.60893/figshare.jcp.30716423
title: Supplementary material

description: Supplementary material
DOI: 10.60893/figshare.jcp.30716423.v1
title: Supplementary material

description: Supplementary material
DOI: 10.60893/figshare.jcp.30574262
title: Supplementary file

description: Contains supporting information
DOI: 10.60893/figshare.jcp.30574262.v1
title: Supplementary file

description: Contains supporting information
DOI: 10.15468/dl.76cz9g
title: Occurrence Download

description: A dataset containing 362 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pteropyrum"
 ]
}

 The dataset includes 362 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052941-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kk973c
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "Country is one of (Pakistan, China)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Uncia uncia",
 "Year 2015-2025"
 ]
}

 The dataset includes 32 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052942-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wgfze5
title: Occurrence Download

description: A dataset containing 15408 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Duma"
 ]
}

 The dataset includes 15408 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052943-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gk64a5
title: Occurrence Download

description: A dataset containing 337420 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.58956 45.51663,-73.59106 45.51605,-73.59164 45.51518,-73.5976 45.51513,-73.60012 45.51435,-73.60633 45.5131,-73.61267 45.51033,-73.61956 45.50239,-73.61582 45.49919,-73.61747 45.49662,-73.61529 45.49575,-73.61253 45.49541,-73.60846 45.49599,-73.6055 45.49488,-73.60308 45.49492,-73.60163 45.49555,-73.60129 45.49701,-73.59925 45.49677,-73.59756 45.49618,-73.59552 45.49628,-73.59475 45.49551,-73.59179 45.49541,-73.59009 45.49686,-73.58888 45.49924,-73.58801 45.49996,-73.58573 45.49904,-73.58452 45.49875,-73.58409 45.49972,-73.58709 45.50122,-73.58389 45.50379,-73.58312 45.50336,-73.58079 45.50612,-73.57779 45.51198,-73.58124 45.51358,-73.58956 45.51663))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 337420 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052935-251120083545085/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.30501032
title: <b>Multi-scale urban growth simulation: Integrating spatiotemporal lag effects in demand and allocation of land development</b>

description: This includes all the data and code from the research manuscript "<b>Multi-scale urban growth simulation: Integrating spatiotemporal lag effects in demand and allocation of land development</b>" comprising the following files:_1Grid-level demand estimation model_2Cell-level spaital allocation model_3Code of figureReadme_EN.docxWhere, _1Grid-level demand estimation model represents the data and code for the urban land demand estimation model; _2Cell-level spaital allocation model represents the data and code for the urban land spatial allocation model; _3Code of figure is the code for the statistical figures of the evaluation results in Figure 3 to Figure 8 of the paper; Readme_EN.docx provide detailed descriptions of the provided data and code in English.These documents contain example data and complete code, enabling readers to fully reproduce our research results.
DOI: 10.6084/m9.figshare.30501032.v7
title: <b>Multi-scale urban growth simulation: Integrating spatiotemporal lag effects in demand and allocation of land development</b>

description: This includes all the data and code from the research manuscript "<b>Multi-scale urban growth simulation: Integrating spatiotemporal lag effects in demand and allocation of land development</b>" comprising the following files:_1Grid-level demand estimation model_2Cell-level spaital allocation model_3Code of figureReadme_EN.docxWhere, _1Grid-level demand estimation model represents the data and code for the urban land demand estimation model; _2Cell-level spaital allocation model represents the data and code for the urban land spatial allocation model; _3Code of figure is the code for the statistical figures of the evaluation results in Figure 3 to Figure 8 of the paper; Readme_EN.docx provide detailed descriptions of the provided data and code in English.These documents contain example data and complete code, enabling readers to fully reproduce our research results.
DOI: 10.6084/m9.figshare.30501032.v6
title: <b>Multi-scale urban simulation: Integrating spatiotemporal lag effects in demand and allocation of land development</b>

description: This includes all the data and code from the research manuscript "<b>Multi-scale urban simulation: Integrating spatiotemporal lag effects in demand and allocation of land development</b>" comprising the following files:_1Grid-level demand estimation model_2Cell-level spaital allocation model_3Code of figureReadme_EN.docxWhere, _1Grid-level demand estimation model represents the data and code for the urban land demand estimation model; _2Cell-level spaital allocation model represents the data and code for the urban land spatial allocation model; _3Code of figure is the code for the statistical figures of the evaluation results in Figure 3 to Figure 8 of the paper; Readme_CN.docx and Readme_EN.docx provide detailed descriptions of the provided data and code in Chinese and English, respectively.These documents contain example data and complete code, enabling readers to fully reproduce our research results.
DOI: 10.5281/zenodo.17934241
title: A miR172e/TOE3 Module from the Halophyte Halostachys caspica Regulation Plant Multiple Abiotic Stress Tolerance via Cellular Homeostasis: Supplementary Tables
DOI: 10.5281/zenodo.17934242
title: A miR172e/TOE3 Module from the Halophyte Halostachys caspica Regulation Plant Multiple Abiotic Stress Tolerance via Cellular Homeostasis: Supplementary Tables
DOI: 10.15468/dl.p5g9nv
title: Occurrence Download

description: A dataset containing 23882393 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 23882393 records from 323 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052938-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qwbqc3
title: Occurrence Download

description: A dataset containing 15296 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "TaxonKey is Papilio demoleus",
 "Year 1900-2025"
 ]
}

 The dataset includes 15296 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052947-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14160016
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.ydaxm6
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "Country is one of (Pakistan, China)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Uncia uncia",
 "Year 2015-2025"
 ]
}

 The dataset's 1 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052944-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17934343
title: Nakano R. and Shankarkumar A. C. (2025) Dataset

description: How do flying moths escape from echolocating bats?Ryo Nakano1*, Advaith Chakravarthy Shankarkumar2,31Institute for Plant Protection, National Agriculture and Food Research Organization, Tsukuba, Ibaraki 305-8666, Japan2Department of Zoology, University of Otago, Dunedin 9016, New Zealand3Plant & Food Research, New Zealand Institute for Bioeconomy Science Limited, Lincoln 7608, New Zealand
DOI: 10.5281/zenodo.17934344
title: Nakano R. and Shankarkumar A. C. (2025) Dataset

description: How do flying moths escape from echolocating bats?Ryo Nakano1*, Advaith Chakravarthy Shankarkumar2,31Institute for Plant Protection, National Agriculture and Food Research Organization, Tsukuba, Ibaraki 305-8666, Japan2Department of Zoology, University of Otago, Dunedin 9016, New Zealand3Plant & Food Research, New Zealand Institute for Bioeconomy Science Limited, Lincoln 7608, New Zealand
DOI: 10.5281/zenodo.17934122
title: MATLAB scripts for generating plots in Top-down estimates of U.S. NOx emissions using TEMPO and TROPOMI NO2 remote sensing observations with WRF-Chem/Chem-DART

description: This repository contains the MATLAB script (based on MATLAB 2024b) and the data used for generating the figures in the manuscript: "Top-down estimates of U.S. NOx emissions using TEMPO and TROPOMI NO2 remote sensing observations with WRF-Chem/Chem-DART" submitted to JGR-Atmosphere

Due to the size of the input files, some of the  scripts are too large to be included in this repository. Please reach out to the author (Chia-Hua.Hsu@colorado.edu) if you have any questions regarding the code or required input data.
DOI: 10.5281/zenodo.17934123
title: MATLAB scripts for generating plots in Top-down estimates of U.S. NOx emissions using TEMPO and TROPOMI NO2 remote sensing observations with WRF-Chem/Chem-DART

description: This repository contains the MATLAB script (based on MATLAB 2024b) and the data used for generating the figures in the manuscript: "Top-down estimates of U.S. NOx emissions using TEMPO and TROPOMI NO2 remote sensing observations with WRF-Chem/Chem-DART" submitted to JGR-Atmosphere

Due to the size of the input files, some of the  scripts are too large to be included in this repository. Please reach out to the author (Chia-Hua.Hsu@colorado.edu) if you have any questions regarding the code or required input data.
DOI: 10.15468/dl.2453rp
title: Occurrence Download

description: A dataset containing 229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "MediaType is Image",
 "TaxonKey is Chlorops"
 ]
}

 The dataset includes 229 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052950-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u5564u
title: Occurrence Download

description: A dataset containing 98066 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "TaxonKey is Phyllonorycter platani",
 "Year 1900-2025"
 ]
}

 The dataset includes 98066 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052945-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tg2z2r
title: Occurrence Download

description: A dataset containing 9 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 countrycode countrycode,
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, countrycode, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, countrycode, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, countrycode, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, countrycode, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, countrycode, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, countrycode, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.basisofrecord IN ('OBSERVATION', 'MACHINE_OBSERVATION', 'HUMAN_OBSERVATION', 'MATERIAL_SAMPLE', 'MATERIAL_CITATION', 'PRESERVED_SPECIMEN', 'OCCURRENCE')
 AND occurrence.countrycode IN ('PK', 'CN')
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 2435238 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 2435238 OR CAST(occurrence.kingdomkey AS INTEGER) = 2435238 OR CAST(occurrence.phylumkey AS INTEGER) = 2435238 OR CAST(occurrence.classkey AS INTEGER) = 2435238 OR CAST(occurrence.orderkey AS INTEGER) = 2435238 OR CAST(occurrence.familykey AS INTEGER) = 2435238 OR CAST(occurrence.genuskey AS INTEGER) = 2435238 OR CAST(occurrence.specieskey AS INTEGER) = 2435238)
 AND (occurrence."year" &gt;= 2015 AND occurrence."year" &lt;= 2025)
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL AND occurrence.hascoordinate = TRUE)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year",
 occurrence.countrycode

 The dataset's 9 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052949-251120083545085/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.29474792
title: <b>Isotopic evidence for volatile loss driven by South Pole-Aitken basin-forming impact</b>

description: The file include the major and trace elements, as well as Fe and K isotopic data for CE6 lunar basalts.
DOI: 10.6084/m9.figshare.29474792.v1
title: <b>Isotopic evidence for volatile loss driven by South Pole-Aitken basin-forming impact</b>

description: The file include the major and trace elements, as well as Fe and K isotopic data for CE6 lunar basalts.
DOI: 10.15468/dl.rzth78
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((119.61509 12.85958,118.41787 12.68855,116.59688 9.82125,116.57676 7.55759,120.31934 7.58777,121.6373 8.84536,121.57693 10.5255,120.53062 12.85958,119.61509 12.85958))",
 "TaxonKey is Sula sula"
 ]
}

 The dataset includes 108 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052954-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a7qer6
title: Occurrence Download

description: A dataset containing 101789 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "TaxonKey is Thaumetopoea pityocampa",
 "Year 1900-2025"
 ]
}

 The dataset includes 101789 records from 473 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052946-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ejtngn
title: Occurrence Download

description: A dataset containing 1268 species occurrences available in GBIF matching the query:
{
 "VerbatimScientificName" : [
 "is one of (Uroteuthis edulis, Sepia esculenta, Lusepiola birostrata, Amphioctopus fangsiao, Octopus minor, Octopus sinensis)"
 ]
}

 The dataset includes 1268 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052955-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h3quwu
title: Occurrence Download

description: A dataset listing the 14842 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Palau",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 14842 records were derived from 471 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052953-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11577158
title: Trento 1936 - Building 2831

description: Coordinates: N/A Length: 11.76 mWidth: 12.86 mHeight: 15.61 mPoints: 8 Vertices: 36 Primitives: 12 Main Files:
Filename.glb.xml.objbuilding_2831.objLinkbuilding_2831.glbLink11577158_metsmods.xmlLink11577158_edm.xmlLinkThumbnails:
Perspective1000x1000512x512256x256128x128Perspective 1LinkLinkLinkLinkPerspective 2LinkLinkLinkLinkPerspective 3LinkLinkLinkLinkPerspective 4LinkLinkLinkLinkPerspective TopLinkLinkLinkLinkChangelog:   - v0.0.2: Thumbnails added, Description updated with Link Tables.  - v0.0.3: Added XMLs for Europeana Data Model (EDM) and MetsMods.
DOI: 10.5281/zenodo.11577159
title: Trento 1936 - Building 2831

description: Coordinates: N/A Length: 11.76 mWidth: 12.86 mHeight: 15.61 mPoints: 8 Vertices: 36 Primitives: 12
DOI: 10.5281/zenodo.11578772
title: Trento 1936 - Building 759

description: Coordinates: N/A Length: 19.41 mWidth: 14.62 mHeight: 23.23 mPoints: 24 Vertices: 132 Primitives: 44 Main Files:
Filename.glb.xml.objbuilding_759.glbLinkbuilding_759.objLink11578772_edm.xmlLink11578772_metsmods.xmlLinkThumbnails:
Perspective1000x1000512x512256x256128x128Perspective 1LinkLinkLinkLinkPerspective 2LinkLinkLinkLinkPerspective 3LinkLinkLinkLinkPerspective 4LinkLinkLinkLinkPerspective TopLinkLinkLinkLinkChangelog:   - v0.0.2: Thumbnails added, Description updated with Link Tables.  - v0.0.3: Added XMLs for Europeana Data Model (EDM) and MetsMods.
DOI: 10.5281/zenodo.11578773
title: Trento 1936 - Building 759

description: Coordinates: N/A Length: 19.41 mWidth: 14.62 mHeight: 23.23 mPoints: 24 Vertices: 132 Primitives: 44
DOI: 10.5281/zenodo.11579536
title: Trento 1936 - Building 827

description: Coordinates: N/A Length: 8.89 mWidth: 12.32 mHeight: 21.79 mPoints: 10 Vertices: 48 Primitives: 16
DOI: 10.5281/zenodo.12547919
title: Trento 1936 - Building 2831

description: Coordinates: N/A Length: 11.76 mWidth: 12.86 mHeight: 15.61 mPoints: 8 Vertices: 36 Primitives: 12 Main Files:
Filename.glb.objbuilding_2831.objLinkbuilding_2831.glbLinkThumbnails:
Perspective1000x1000512x512256x256128x128Perspective 1LinkLinkLinkLinkPerspective 2LinkLinkLinkLinkPerspective 3LinkLinkLinkLinkPerspective 4LinkLinkLinkLinkPerspective TopLinkLinkLinkLinkChangelog:   - v0.0.2: Thumbnails added, Description updated with Link Tables.