cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.nyjr2n
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Belize",
 "DatasetKey is one of (Tropicos MO Specimen Data, Tropicos Specimens Non-MO, Louisiana State University, Shirley C. Tucker Herbarium - Vascular Plants, Natural History Museum (London) Collection Specimens, Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (Plantas vasculares), NMNH Extant Specimen Records (USNM, US))",
 "OccurrenceStatus is Present",
 "TaxonKey is Chrysochlamys guatemaltecana Donn.Sm."
 ]
}

 The dataset includes 23 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063812-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9afsmh
title: Occurrence Download

description: A dataset containing 1483 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Algeria",
 "OccurrenceStatus is Present",
 "TaxonKey is Ciconia ciconia (Linnaeus, 1758)"
 ]
}

 The dataset includes 1483 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063813-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rm7tag
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achnanthes abundans Manguin, 1954",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.6306 -23.844,35.6007 -23.8125,35.6007 -24.0157,35.6306 -23.844))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063814-250525065834625/datasets/export for details.
DOI: 10.15468/dl.egw3re
title: Occurrence Download

description: A dataset containing 1245 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sylvilagus bachmani (Waterhouse, 1839)"
 ]
}

 The dataset includes 1245 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063815-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s7padm
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amphora C.G.Ehrenberg ex F.T.Kützing, 1844",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.0251 -31.3959,30.5701 -30.7329,30.5701 -28.5786,25.5395 -28.5786,25.5395 -32.9007,28.2048 -32.9007,28.5753 -32.6569,29.4902 -31.7517,30.0251 -31.3959))"
 ]
}

 The dataset includes 64 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063816-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jymn7x
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amphora C.G.Ehrenberg ex F.T.Kützing, 1844",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.5701 -24.0715,25.5395 -24.0715,25.5395 -28.5786,30.5701 -28.5786,30.5701 -24.0715))"
 ]
}

 The dataset includes 127 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063817-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3etu9v
title: Occurrence Download

description: A dataset containing 82457325 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aves)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "Country is Australia"
 ]
}

 The dataset includes 82457325 records from 263 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063801-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8c6r9m
title: Occurrence Download

description: A dataset containing 534872 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Medicago L.",
 "HasCoordinate is true",
 "Continent is Europe",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is less than 10000"
 ]
}

 The dataset includes 534872 records from 1655 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023450-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xylhft
title: Occurrence Download

description: A dataset containing 203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is 2014",
 "InstitutionCode is USP",
 "PublishingCountry is Brazil"
 ]
}

 The dataset includes 203 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009051-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6bmtnc
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium spatalops Omang"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027529-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kdmdy2
title: Occurrence Download

description: A dataset listing the 115 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-101.11456 26.32296,-101.61782 26.26989,-102.47079 25.79243,-102.47079 25.02548,-101.9057 24.29796,-101.0445 24.06801,-99.73008 24.39953,-99.78659 25.45994,-100.28941 26.08165,-101.11456 26.32296))",
 "HasGeospatialIssue is false",
 "TaxonKey is Mammalia"
 ]
}

 The dataset's 115 records were derived from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004813-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mywhe2
title: Occurrence Download

description: A dataset containing 145071 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Syringa emodi Wall. ex Royle, Syringa komarowii C.K.Schneid., Syringa oblata Lindl., Syringa pinetorum W.W.Sm., Syringa reticulata (Blume) H.Hara, Syringa tomentella Bureau & Franch., Syringa villosa Vahl, Syringa vulgaris L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 145071 records from 998 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004818-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qtqbf9
title: Occurrence Download

description: A dataset containing 2050 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is University of Tennessee Fungal Herbarium",
 "TaxonKey is one of (Lactarius Pers., 1797, Lactifluus (Pers.) Roussel)"
 ]
}

 The dataset includes 2050 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004822-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/uschist-ouc1sto923
title: USC: ROTC Yearbooks
DOI: 10.15468/dl.6q4kbs
title: Occurrence Download

description: A dataset containing 572 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Bell Museum fungi",
 "TaxonKey is one of (Lactarius Pers., 1797, Lactifluus (Pers.) Roussel)"
 ]
}

 The dataset includes 572 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004823-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5pg1j12z
title: MassIVE MSV000096995 - MFSD6 is an entry receptor for enterovirus D68
title: With the near eradication of poliovirus due to global vaccination campaigns, attention has shifted to other enteroviruses that can cause polio-like paralysis syndrome (now termed acute flaccid myelitis (AFM)). In particular, enterovirus D68 (EV-D68) is believed to be the main driver of epidemic outbreaks of AFM in recent years, yet not much is known about EV-D68 host interactions. EV-D68 is a respiratory virus but, in rare cases, can spread to the central nervous system to cause severe neuropathogenesis. Here, we use genome-scale CRISPR screens to identify the poorly characterized multipass membrane transporter MFSD6 as a host entry factor for EV-D68. Knockout of MFSD6 expression abrogates EV-D68 infection in cell lines and primary cells corresponding to respiratory and neural cells. MFSD6 is localized at the plasma membrane and is required for viral entry into the host cell. MFSD6 directly binds to EV-D68 particles via its third extracellular loop (L3). We determined the cryo-EM structure of EV-D68 in complex with L3 at 2.1 angstrom resolution, revealing the interaction interface. A decoy receptor, engineered by fusing MFSD6(L3) to Fc, blocked EV-D68 infection of human primary lung epithelial cells, and provided near complete protection in a lethal mouse model of EV-D68 infection. Collectively, our results reveal MFSD6 as an entry receptor for EV-D68, and support targeting MFSD6 as a potential mechanism to combat infections by this emerging pathogen with pandemic potential.
DOI: 10.15468/dl.gzc9na
title: Occurrence Download

description: A dataset containing 38873 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pipistrellus kuhlii (Kuhl, 1817)"
 ]
}

 The dataset includes 38873 records from 297 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004825-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/uschist-ouc110816560
title: El Molaro (1965) [compiled 2022]

description: El Molaro (1965), the University of Southern California School of Dentistry yearbook that never was. This compilation was made by 1965 School of Dentistry graduate Dr. Daryl Reading from 35 millimeter negatives shot by the committee Reading was on at that time to photograph members of the graduating class for the anticipated School of Dentistry 1965 yearbook. The satire (some in very poor taste) of the preceding 1964 yearbook was extreme enough for Dean McNulty to ban the 1965 yearbook's publication.
DOI: 10.25549/uschist-ouc11399de16
title: School of Dentistry yearbook (2022)

description: University of Southern California Herman Ostrow School of Dentistry yearbook (2022).
DOI: 10.25549/uschist-ouc11399de2z
title: School of Dentistry yearbook (2023)

description: University of Southern California Herman Ostrow School of Dentistry yearbook (2023).
DOI: 10.25549/uschist-ouc113998xhj
title: School of Dentistry yearbook (2020)

description: University of Southern California Herman Ostrow School of Dentistry yearbook (2020).
DOI: 10.25549/uschist-ouc113998v8w
title: School of Dentistry yearbook (2019)

description: University of Southern California Herman Ostrow School of Dentistry yearbook (2019).
DOI: 10.25549/uschist-ouc1sto1864416
title: USC: Human Resources, Equity, and Compliance
DOI: 10.25549/uschist-ouc1sto1849200
title: USC: Transcript
DOI: 10.25549/uschist-ouc1sto932
title: USC: The Daily Trojan, 1912-
DOI: 10.25549/uschist-ouc1sto927
title: USC: University of Southern California Chronicle
DOI: 10.25549/uschist-ouc113998xgm
title: School of Dentistry yearbook (2024)

description: University of Southern California Herman Ostrow School of Dentistry yearbook (2024).
DOI: 10.25549/uschist-ouc113998ulr
title: School of Dentistry yearbook (2018)

description: University of Southern California Herman Ostrow School of Dentistry yearbook (2018).
DOI: 10.5281/zenodo.14768556
title: Gapminder Dataset - Plotting and Programming in Python

description: This Gapminder dataset has long been a cornerstone of introductory Python programming lessons, particularly within The Carpentries' curriculum. Traditionally, learners download the dataset as a ZIP file before analyzing it in Python. However, to foster best practices in research data management and computational reproducibility, we are making this dataset available through Zenodo, a generalist data repository. By hosting the dataset in Zenodo, we enable learners to retrieve it programmatically via APIs, aligning with modern workflows that emphasize direct access to structured, versioned, and persistent research data.

This initiative is part of the Generalist Repository Ecosystem Initiative (GREI), an NIH-funded effort to raise awareness of how researchers can effectively use generalist repositories for depositing and accessing data. By integrating generalist repos into Python-based data workflows, we not only provide a seamless experience for The Carpentries learners but also encourage researchers at all levels to engage with repositories as part of their data-driven research practices.
DOI: 10.5281/zenodo.14768557
title: Gapminder Dataset - Plotting and Programming in Python

description: This Gapminder dataset has long been a cornerstone of introductory Python programming lessons, particularly within The Carpentries' curriculum. Traditionally, learners download the dataset as a ZIP file before analyzing it in Python. However, to foster best practices in research data management and computational reproducibility, we are making this dataset available through Zenodo, a generalist data repository. By hosting the dataset in Zenodo, we enable learners to retrieve it programmatically via APIs, aligning with modern workflows that emphasize direct access to structured, versioned, and persistent research data.

This initiative is part of the Generalist Repository Ecosystem Initiative (GREI), an NIH-funded effort to raise awareness of how researchers can effectively use generalist repositories for depositing and accessing data. By integrating generalist repos into Python-based data workflows, we not only provide a seamless experience for The Carpentries learners but also encourage researchers at all levels to engage with repositories as part of their data-driven research practices.
DOI: 10.5281/zenodo.14768193
title: none

description:
DOI: 10.5281/zenodo.14768194
title: none

description:
DOI: 10.15468/dl.tg3hxw
title: Occurrence Download

description: A dataset containing 114426 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cuphea P.Browne"
 ]
}

 The dataset includes 114426 records from 836 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004798-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5522/04/26325382.v1
title: Global 3D rocket launch and re-entry air pollutant and carbon dioxide emissions for 2020-2022

description: All data compiled are in NetCDF format. These include variables gathered from multiple data sources and cross-checked to obtain activity data needed to calculate air pollutant and carbon dioxide (CO<sub>2</sub>) emissions from rocket launches and object re-entries for 2020-2022. There are 4 types of data generated and provided in NetCDF files summarised below. A detailed description of data acquisition and cross-checking, the approach adopted to calculate mapped vertically resolved emissions, the emissions data validation, and a description of each of the variables in the files provided is in the Nature Scientific Data paper submitted for review.(1) Compiled and cross-checked launch activity data in <b>launch</b><b>_activity</b><b>_data</b><b>_2020-2022.nc.</b>(2) Compiled and cross-checked relevant information and characteristics of each rocket launched from 2020 to 2022 in <b>rocket</b><b>_attributes</b><b>_2020-2022.nc.</b>(3) Compiled and cross-checked details of each re-entering object from 2020 to 2022 in <b>reentry</b><b>_activity</b><b>_data</b><b>_2020-2022.nc</b>.(4) Compressed (*.tar.gz) files of 4 folders hosting the emissions. The 4 folders separate emissions into the different vertical and horizontal resolutions on which the emissions are gridded. The compressed files unzip from &lt;500 MB each to &gt;50 GB each and 606 GB total. The uncompressed files are daily files of hourly 3D gridded air pollutant and carbon dioxide (CO<sub>2</sub>) emissions provided for direct input to GEOS-Chem or other models with emissions processing packages that regrid the emissions to the model grid. Emissions files are categorised as associated with all mission types, with non-megaconstellation (nonsmc) missions only or megaconstellation (smc) missions only or all (all) missions and are provided as daily files with the filename convention "<b>byprodu</b><b>ct_emis</b><b>_{</b><b>mission</b><b>_type}</b><b>_{</b><b>horiz</b><b>_res}</b><b>_{</b><b>vert</b><b>_res}</b><b>_</b><b>Y</b><b>YYYMMDD.nc4</b>". There are 12 sets of daily files for 2020-2022, where { } are used as placeholders for "all", "nonsmc" or "smc" for {mission_type}, "4x5" for 4<sup>o</sup> latitude x 5<sup>o</sup> longitude or "2x25" for 2<sup>o</sup> latitude x 2.5<sup>o</sup> longitude for {horiz_res}, "47" for 47 layers up to 0.01 hPa (~80 km) or "72" for 72 layers up to the same altitude for {vert_res}.Code written in Python used to develop the emission inventory and to generate the NetCDF files is on Zenodo at https://zenodo.org/doi/10.5281/zenodo.13136856.
DOI: 10.5519/qd.64mzzx11
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2 records)
DOI: 10.25318/1010016901-eng
title: Canadian government finance statistics for individual municipalities and other local public administrations, as reported by municipalities

description: Canadian government finance statistics (CGFS), statement of operations and balance sheet data for individual municipalities and other local public administrations, annual, as reported by municipalities (dollars x 1,000).
DOI: 10.17605/osf.io/6v9rs
title: Data and code for “Contrasting modes of cultural evolution: Kra-Dai languages and weaving technologies”

description: Data and code for the article Buckley, Christopher D., Kopp, Emma, Pellard, Thomas, Ryder, Robin J., and Jacques, Guillaume, “Contrasting modes of cultural evolution: Kra-Dai languages and weaving technologies”.
DOI: 10.6084/m9.figshare.26406529
title: Attentional-Deployment-Data-2018-2021

description: Behavioral and Eye-tracking data from an Attentional Deployment task
DOI: 10.6084/m9.figshare.26406529.v1
title: Attentional-Deployment-Data-2018-2021

description: Behavioral and Eye-tracking data from an Attentional Deployment task
DOI: 10.6084/m9.figshare.26406529.v2
title: Attentional-Deployment-Data-2018-2021

description: Behavioral and Eye-tracking data from an Attentional Deployment task
DOI: 10.5281/zenodo.13150944
title: Binary black-hole simulation SXS:BBH:1779

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13150945
title: Binary black-hole simulation SXS:BBH:1779

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13150955
title: Binary black-hole simulation SXS:BBH:1984

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13150956
title: Binary black-hole simulation SXS:BBH:1984

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13150965
title: Binary black-hole simulation SXS:BBH:1954

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13150966
title: Binary black-hole simulation SXS:BBH:1954

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.w9jufz
title: Occurrence Download

description: A dataset containing 418 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Argyreus hyperbius (Linnaeus, 1763)"
 ]
}

 The dataset includes 418 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044269-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13150973
title: Binary black-hole simulation SXS:BBH:1890

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13150974
title: Binary black-hole simulation SXS:BBH:1890

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13150987
title: Binary black-hole simulation SXS:BBH:1540

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13150988
title: Binary black-hole simulation SXS:BBH:1540

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13150991
title: Binary black-hole simulation SXS:BBH:1531

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13150992
title: Binary black-hole simulation SXS:BBH:1531

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13150999
title: Binary black-hole simulation SXS:BBH:1626

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13151000
title: Binary black-hole simulation SXS:BBH:1626

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13151005
title: Binary black-hole simulation SXS:BBH:1636

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13151006
title: Binary black-hole simulation SXS:BBH:1636

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13151010
title: Binary black-hole simulation SXS:BBH:1545

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13151011
title: Binary black-hole simulation SXS:BBH:1545

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13151021
title: Binary black-hole simulation SXS:BBH:1979

description: Simulation of a black-hole binary system evolved by the SpEC code.