cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/whit-c170-81806
title: Tank truck and tractor chassis, Southern California, 1936

description: 2 photographs of tank truck and 2 photographs of tractor chassis, Southern California, 1936. "Subject: Tank truck and tracter [sic] chassis, R. L. Strong assured; Client: Commercial Standard, 1031 So[uth] B[roa]dw[a]y. C. G. Francis; Original Print Order: 1 ea[ch]; Size: 8x10; Finish: gl[ossy]; Job: 1-22-148; Year: 1936" -- on envelope front. "Operator's Report Name: Beegle; 4 Original Photographs-Size:8x10; Amount: 6.00" -- on envelope back.
DOI: 10.25549/whit-c170-111344
title: Fall scenes in Expo. Park, Los Angeles, Calif., 1938

description: 9 photographs of streets, automobiles, and trees shedding their leaves, Los Angeles, California, 1938 November.
DOI: 10.15468/dl.ryipkg
title: Occurrence Download

description: A dataset containing 777825 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Royal Botanic Gardens, Kew - Herbarium Specimens"
 ]
}

 The dataset includes 777825 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000778-150512124619364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/whit-c170-78180
title: Apartment houses at 413 to 423 1/2 Coronado Terrace and 430 North Coronado Street, Los Angeles, CA, 1935

description: 3 photographs of exterior of apartment houses, Los Angeles, CA, 1935. "Subject: Ap[artmen]t houses at 413 to 423 1/2 Coronado terrace & 430 Coronado St[reet]; Client: Metropolitan Casualty, Mr. Lewis; Job: 5-24-166; Year: 1935; Original print order: 2 ea[ch]; Size: 8x10; Finish: gl[ossy]" -- on envelope front. "Photographer: Dean; Original photographs- Size: 3-8x10 ext[erior], (2 locations); Amount: 7.50" -- on envelope back.
DOI: 10.25549/whit-c170-80465
title: Crowds, Southern California, 1935

description: 16 photographs of crowds, Southern California, 1935. "Subject: Crowds; Client: Whittington; Classifications: H. Crowds; Original Print Order: 1#3, 15, 8, 1#8; Size: 8x10; Finish: gl[ossy]; Re-order: 1#15, 8; Year: 1935; Job: 59-9-38" -- on envelope front. "#3, 8 - W.P.A. Writer's Project 5/41, #3 Bond Confections 1/47, #15 J. Walter Thompson 9/5" -- on envelope back.
DOI: 10.25405/data.ncl.25639437
title: Data underpinning study on stormwater infiltration through permeable pavement with and without activated carbon amendment

description: Experiments were conducted to compare the attenuation of storm water pollutants in permeable pavement with and without activated carbon in the sand base.
DOI: 10.25405/data.ncl.25639437.v1
title: Data underpinning study on stormwater infiltration through permeable pavement with and without activated carbon amendment

description: Experiments were conducted to compare the attenuation of storm water pollutants in permeable pavement with and without activated carbon in the sand base.
DOI: 10.15468/dl.vpurnx
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus peninsularis Trel.",
 "Country is Mexico"
 ]
}

 The dataset includes 100 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000778-150528172251762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/whit-c170-77803
title: Mr. Mernin, Southern California, 1935

description: 4 photographic portraits of Mr. Mernin, Southern California, 1935. "Subject: Portrait of Mr. Mernin; Agency: Geo[rge] Stitter, 426 Van Nuys B[ui]ld[in]g; Client: Walter Leimert Co., List also, West Side Land Co.; Original Print Order: 3; Size: 8x10; Finish: gl[ossy]; Year: 1935; Job: 5-1-1" -- on envelope front. "1 Original Photographs-- at Studio: 8x10; Amount: 3.00" -- on envelope back.
DOI: 10.25549/whit-c170-38070
title: Construction of new homes, Lido Isle, Newport Beach, CA, 1932 [image 1]

description: Photograph of men, women, and children dining on patio, Lido Isle, Newport Beach, CA, 1932.
DOI: 10.15468/dl.kyrzw9
title: Occurrence Download

description: A dataset containing 143272890 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plantae"
 ]
}

 The dataset includes 143272890 records from 2767 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000778-150615163101818/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tx22cm
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Sargassum tenerrimum J.Agardh, 1848",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 19 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050383-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tyzu7z
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centaurea horrida Badarò",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 78 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077166-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sdvnh0
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Silene mundiana Eckl. & Zeyh."
 ]
}

 The dataset includes 13 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050378-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.698x88
title: Occurrence Download

description: A dataset containing 576 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Xerces Society - Bumble Bee Watch",
 "Geometry POLYGON((-74 41,-59.5 41,-59.5 49.5,-74 49.5,-74 41))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 576 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094244-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.apunn3
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Boloria iphigenia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077148-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ggvphb
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhinolophus cornutus orii Kuroda, 1924"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094246-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zgmo9g
title: Occurrence Download

description: A dataset containing 3242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eragrostis elongata (Willd.) J.Jacq.",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 3242 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050385-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.matmj4
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ectomyelois ceratoniae Zeller, 1839"
 ]
}

 The dataset includes 109 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050385-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sqzzt7
title: Occurrence Download

description: A dataset containing 488 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Posorites"
 ]
}

 The dataset includes 488 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004240-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57761/gk3g-wc33
title: Stanford Large-Scale 3D Indoor Spaces Dataset (S3DIS)

description: Iro Armeni (iarmeni@stanford.edu)
description: S3DIS comprises 6 colored 3D point clouds from 6 large-scale indoor areas, along with semantic instance annotations for 12 object categories (wall, floor, ceiling, beam, column, window, door, sofa, desk, chair, bookcase, and board).
description: The Stanford Large-Scale 3D Indoor Spaces (S3DIS) dataset is composed of the colored 3D point clouds of six large-scale indoor areas from three different buildings, each covering approximately 935, 965, 450, 1700, 870, and 1100 square meters (total of 6020 square meters). These areas show diverse properties in architectural style and appearance and include mainly office areas, educational and exhibition spaces, and conference rooms, personal offices, restrooms, open spaces, lobbies, stairways, and hallways are commonly found therein. The entire point clouds are automatically generated without any manual intervention using the Matterport scanner. The dataset also includes semantic instance annotations on the point clouds for 12 semantic elements, which are structural elements (ceiling, floor, wall, beam, column, window, and door) and commonly found items and furniture (table, chair, sofa, bookcase, and board).



![S3DIS.png](<https://redivis.com/fileUploads/5bdaf09c-7d3b-4a91-b192-d98a0f0b0018>)

<u><strong>Important Information</strong></u>

- This paper was presented in the "[3D Semantic Parsing of Large-Scale Indoor Spaces](<https://ieeexplore.ieee.org/document/7780539>)", CVPR 2016.
- Project website: [http://buildingparser.stanford.edu/](<http://buildingparser.stanford.edu/>)

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DOI: 10.57761/mjpn-gn58
title: Project Loon

description: The purpose of this dataset is to offer an estimate of the horizontal momentum fluxed vertically by the atmospheric internal gravity waves (GWs) observed by Project Loon balloons. This vertical flux of horizontal momentum is commonly referred to as the GW momentum flux. Before estimating the GW momentum fluxes, additional processing was necessary to remove data sampling errors, irregularities, and balloon maneuvering.
description: 

The procedures for this processing, and the subsequent analysis of the processed data, are described in Green et al. (2024). The Python code (in Jupyter notebooks) that was used for both is available at: [https://github.com/DataWaveProject/Loon-momentum-fluxes](<https://github.com/DataWaveProject/Loon-momentum-fluxes>).






description: See the following sample project for examples:



[https://redivis.com/projects/q08b-889vc3xgg](<https://redivis.com/projects/q08b-889vc3xgg>)
DOI: 10.57761/gmhc-wx10
title: Stanford 2D-3D-Semantics Dataset (2D-3D-S)

description: Iro Armeni (iarmeni@stanford.edu)
description: 2D-3D-S comprises
description: The 2D-3D-S dataset provides a variety of mutually registered modalities from 2D, 2.5D and 3D domains, with instance-level semantic and geometric annotations. It covers over 6,000 m2 and contains over 70,000 RGB images, along with the corresponding depths, surface normals, semantic annotations, global XYZ images (all in forms of both regular and 360° equirectangular images) as well as camera information. It also includes registered raw and semantically annotated 3D meshes and point clouds. In addition, the dataset contains the raw RGB and Depth imagery along with the corresponding camera information per scan location. The dataset enables development of joint and cross-modal learning models and potentially unsupervised approaches utilizing the regularities present in large-scale indoor spaces.



In more detail, the dataset is collected in 6 large-scale indoor areas that originate from 3 different buildings of mainly educational and office use. For each area, all modalities are registered in the same reference system, yielding pixel to pixel correspondences among them. In a nutshell, the presented dataset contains a total of 70,496 regular RGB and 1,413 equirectangular RGB images, along with their corresponding depths, surface normals, semantic annotations, global XYZ OpenEXR format and camera metadata. It also contains the raw sensor data, which comprises of 18 HDR RGB and Depth images (6 looking forward, 6 towards the top, 6 towards the bottom) along with the corresponding camera metadata per each of the 1,413 scan locations, yielding a total of 25,434 RGBD raw images. In addition, we provide whole building 3D reconstructions as textured meshes, as well as the corresponding 3D semantic meshes. It also includes the colored 3D point cloud data of these areas with the total number of 695,878,620 points, that have been previously presented in the [Stanford large-scale 3D Indoor Spaces Dataset (S3DIS)](<https://redivis.com/datasets/9q3m-9w5pa1a2h>).



![2D3DS_pano.png](<https://redivis.com/fileUploads/7a4dcf34-471b-4dd8-b2dc-dc9842280f76>)

![3Dmodal.png](<https://redivis.com/fileUploads/699e543b-cac6-4db0-bf30-77d48e3b2203>)

![equirect.png](<https://redivis.com/fileUploads/43f7c602-202c-48fb-a44e-386b57a22835>)<u><strong>Important Information:</strong></u>

- The dataset is an extension of the [Stanford large-scale 3D Indoor Spaces Dataset (S3DIS).](<https://redivis.com/datasets/9q3m-9w5pa1a2h>)
- Dataset files and structure: [https://github.com/alexsax/2D-3D-Semantics](<https://github.com/alexsax/2D-3D-Semantics>)
- Dataset information: [http://3dsemantics.stanford.edu/](<http://3dsemantics.stanford.edu/>)

<!-- -->
DOI: 10.15156/bio/sh1103286.10fu
title: SH1103286.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1103289.10fu
title: SH1103289.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1103291.10fu
title: SH1103291.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1103293.10fu
title: SH1103293.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1103294.10fu
title: SH1103294.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1103296.10fu
title: SH1103296.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1103298.10fu
title: SH1103298.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1103299.10fu
title: SH1103299.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.