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

description: A dataset containing 1089 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-107.8377 36.93525,-95.67905 -0.38897,-62.69047 45.32378,-107.8377 36.93525))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "InstitutionCode is uf",
 "InstitutionCode is tnhc",
 "InstitutionCode is ummz"
 ]
 },
 "TaxonKey is Lucania parva (Baird & Girard, 1855)"
 ]
}

 The dataset includes 1089 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0382498-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y4e8yr
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005551-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hqg89t
title: Occurrence Download

description: A dataset containing 1816130666 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1816130666 records from 32443 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119757-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110620529
title: Persepolis Fortification Anepigraphic Tablet 0166.203, PFAnep 0166.203

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAnep 0166.203, PFUT 0166-203 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impression PFUTS 0003 on bottom edge, left edge, obverse, reverse, upper edge. ❧ [Physical Object Note:] Cracks on bottom edge, obverse, right edge, reverse; damage on reverse corners and upper edge
DOI: 10.25549/inscriptifact-ouc110622150
title: Persepolis Fortification Anepigraphic Tablet 0446.202, PFAnep 0446.202

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAnep 0446.202, PFUT 0446-202 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impressions on obverse and reverse. ❧ [Physical Object Note:] Left edge broken off, as well as part of bottom left corner. Chip on bottom edge.
DOI: 10.25549/inscriptifact-ouc110620527
title: Persepolis Fortification Anepigraphic Tablet 0166.203, PFAnep 0166.203

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAnep 0166.203, PFUT 0166-203 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impression PFUTS 0003 on bottom edge, left edge, obverse, reverse, upper edge. ❧ [Physical Object Note:] Cracks on bottom edge, obverse, right edge, reverse; damage on reverse corners and upper edge
DOI: 10.25549/inscriptifact-ouc1sto1611597
title: InscriptiFact -- an image database of inscriptions and artifacts

description: The InscriptiFact Collection is designed to allow access via the Internet to high-resolution images of ancient inscriptions and artifacts, primarily from the Near Eastern and Mediterranean Worlds. The targeted inscriptions constitute some of the world’s earliest written records, which are mostly housed in a number of international museums and libraries, as well as field projects where inscriptions still remain in situ. Included, for example, are, selected Dead Sea Scrolls; cuneiform tablets from Mesopotamia, Persia, Canaan and Egypt; early Jewish papyri from Egypt; lapidary inscriptions, primarily from Jordan, Lebanon and Cyprus; inscriptions on a variety of hard media (e.g., ostraca, copper, semi-precious stones, jar handles) mostly written in early Canaanite, Phoenician, Hebrew, Aramaic, Ammonite and Edomite; and much more. These ancient texts are foundational documents that serve as a point of reference for Judaism, Christianity, Islam and the cultures out of which they emerged. The name "InscriptiFact" is intended to convey the concept of a scholarly archive based on "facts" about "inscriptions" and "artifacts." West Semitic Research Project (WSRP) under the auspices of the University of Southern California (USC) is broadly acknowledged as a leader in the application of photographic and digital technologies to capture and analyze data of ancient texts. The West Semitic Research image archive now contains approximately 1,500,000 images. Important! Search terms with more than one word or number need to be enclosed in quotation marks.Guide to Searching InscriptiFact
DOI: 10.25549/inscriptifact-ouc110620526
title: Persepolis Fortification Anepigraphic Tablet 0166.202, PFAnep 0166.202

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAnep 0166.202, PFUT 0166-202 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impressions on left edge, obverse, reverse? ❧ [Physical Object Note:] Chips on obverse, damage to left edge.
DOI: 10.25549/inscriptifact-ouc110622143
title: Persepolis Fortification Anepigraphic Tablet 0448.201, PFAnep 0448.201

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAnep 0448.201, PFUT 0448-201 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impressions on bottom edge, left edge, obverse, reverse?, upper edge. ❧ [Physical Object Note:] Serious abrasion on all surfaces, obscuring what is left of seal impressions.
DOI: 10.25549/inscriptifact-ouc110620525
title: Persepolis Fortification Anepigraphic Tablet 0166.203, PFAnep 0166.203

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAnep 0166.203, PFUT 0166-203 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impression PFUTS 0003 on bottom edge, left edge, obverse, reverse, upper edge. ❧ [Physical Object Note:] Cracks on bottom edge, obverse, right edge, reverse; damage on reverse corners and upper edge
DOI: 10.25549/inscriptifact-ouc110617813
title: Persepolis Fortification Elamite Tablet 2572, PF-NN 2572

description: [Text Description:] Administrative text with seal ❧ [Text or Publication Number Note:] PF-NN 2572 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on reverse. ❧ [Physical Object Note:] Minor damage to tablet. Chips at left edge, right edge and upper edge. Cracks on reverse.
DOI: 10.15468/dl.pevb4a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Verrucaria placida)",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026030-260208012135463/datasets/export for details.
DOI: 10.15468/dl.twnyxc
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-98.48463 19.21837,-98.36458 19.21837,-98.36458 19.31309,-98.48463 19.31309,-98.48463 19.21837))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia"
 ]
}

 The dataset includes 30 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026031-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1919904.10fu
title: SH1919904.10FU

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: 10.15468/dl.my8jpq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"BRA.13.506_2","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006599-260108223611665/datasets/export for details.
DOI: 10.15156/bio/sh1920933.10fu
title: SH1920933.10FU

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/sh1921216.10fu
title: SH1921216.10FU

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/sh1921300.10fu
title: SH1921300.10FU

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/sh1922613.10fu
title: SH1922613.10FU

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/sh1922677.10fu
title: SH1922677.10FU

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/sh1923152.10fu
title: SH1923152.10FU

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/sh1923188.10fu
title: SH1923188.10FU

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: 10.15468/dl.8v27zv
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Glyphochloa mysorensis"
 ]
}

 The dataset includes 9 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006600-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1923314.10fu
title: SH1923314.10FU

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: 10.5281/zenodo.15320922
title: NLST-3D+ Annotation

description: With the National Lung Screening Trial (NLST), for detection evaluation, we utilized open-access annotations provided by [Mikhael et al.(2023)]. We converted over 9,000 2D slice-level bounding box annotations from more than 900 lung cancer patients into 3D representations, resulting in over 1,100 nodule annotations.

To extract 3D annotations from the 2D annotations, we first verified the 2D annotations within the DICOM images. Then, we extracted the `seriesinstanceuid`, `slice_location`, and `slice_number` from the DICOM headers. Subsequently, the image coordinate locations were converted to world coordinates. After verifying these annotations in the corresponding NIFTI images, we concatenated overlapping consecutive 2D annotations of the same lesion across multiple slices into a single 3D annotation. 

The complete code for generating the 3D annotations, along with a visualization script to display these annotations, will be released soon. A preview of the visualization is shown in this Jupyter Notebook: https://github.com/fitushar/AI-in-Lung-Health-Benchmarking-Detection-and-Diagnostic-Models-Across-Multiple-CT-Scan-Datasets/blob/main/NLST_Data_Annotations/3D_Annotation_Visualizations_NLST.ipynb

Code Repository:To support reproducible open-access research and benchmarking, we have shared several pre-trained models and baseline results in a GitHub and GitLab repository.

GitLab: https://gitlab.oit.duke.edu/cvit-public/ai_lung_health_benchmarkingGitHub: https://github.com/fitushar/AI-in-Lung-Health-Benchmarking-Detection-and-Diagnostic-Models-Across-Multiple-CT-Scan-Datasets