cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15002439
title: NASA Pandora PSF Models

description: These fits files contain the expected PSF of the Pandora mission as a function of location on the detector, wavelength, and temperature. These are required inputs to build simulations of the Pandora dataset using the pandora-sat open source software package. These files were built by Lawrence Livermore National Labs.

 

These can be read by pandora-sat v0.9.0

https://github.com/PandoraMission/pandora-sat/tree/main
DOI: 10.5281/zenodo.7596335
title: NASA Pandora PSF Models

description: These fits files contain the expected PSF of the Pandora mission as a function of location on the detector, wavelength, and temperature. These are required inputs to build simulations of the Pandora dataset using the pandora-sat open source software package. These files were built by Lawrence Livermore National Labs.

 

These can be read by pandora-sat v0.9.0

https://github.com/PandoraMission/pandora-sat/tree/main
DOI: 10.5281/zenodo.7596336
title: NASA Pandora PSF Models

description: These fits files contain the expected PSF of the Pandora mission as a function of location on the detector, wavelength, and temperature. These are required inputs to build simulations of the Pandora dataset using the pandora-sat open source software package. These files were built by Lawrence Livermore National Labs.
DOI: 10.15468/dl.94ndv7
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.71416 -36.47637,-73.85066 -37.44708,-72.77228 -37.46875,-72.69038 -36.47637,-73.71416 -36.47637))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Lontra felina (Molina, 1782), Pyura chilensis Molina, 1782)"
 ]
}

 The dataset includes 86 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005499-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/02dfa7bc-3a78-4dc6-8566-ade668da1bf7
title: TU Delft weather station network - Davis weather station data at CITG

description: <strong>Description:</strong> In-situ measurements of temperature, pressure, relative humidity, rain and wind by a Davis Vantage Pro2 weather station named "Davis-CITG" at the Faculty of Civil Engineering and Geoscience of TU Delft. The station is placed on a pole at 5 meters height, on the western side of the main entrance of the CITG building. The data are mainly intended for educational or scientific research purposes, and not for long-term climate monitoring.<br><strong>Format:</strong> Each NetCDF file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any post-processing. The NetCDF files contain all relevant information about all the variables, attributes and units. The global attributes of the NetCDF files contain important information about the type of sensor, logging software, project contributors and history of the dataset. If a monthly file is missing, no data are available for this month.<br><strong>Relevance:</strong> Weather station data provide useful information about local variations in temperature, humidity, wind and precipitation up to a few hundred meters around the observation site. Collecting good weather data in built environments is challenging but crucial for understanding and managing the unique micro-climates created by dense buildings, infrastructure, and human activities.<br><strong>Notes:</strong> Data collection started on November 2022. This dataset will be updated approximately every 3 months. Please reach out to the authors if you wish to access the most recent data.<br><strong>Known issues:</strong>The data before August 2023 were not of high enough quality to be published.
DOI: 10.4121/02dfa7bc-3a78-4dc6-8566-ade668da1bf7.v1
title: TU Delft weather station network - Davis weather station data at CITG

description: <strong>Description:</strong> In-situ measurements of temperature, pressure, relative humidity, rain and wind by a Davis Vantage Pro2 weather station named "Davis-CITG" at the Faculty of Civil Engineering and Geoscience of TU Delft. The station is placed on a pole at 5 meters height, on the western side of the main entrance of the CITG building. The data are mainly intended for educational or scientific research purposes, and not for long-term climate monitoring.<br><strong>Format:</strong> Each NetCDF file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any post-processing. The NetCDF files contain all relevant information about all the variables, attributes and units. The global attributes of the NetCDF files contain important information about the type of sensor, logging software, project contributors and history of the dataset. If a monthly file is missing, no data are available for this month. New data files will be added every 2-3 months.<br><strong>Relevance:</strong> Weather station data provide useful information about local variations in temperature, humidity, wind and precipitation up to a few hundred meters around the observation site. Collecting good weather data in built environments is challenging but crucial for understanding and managing the unique micro-climates created by dense buildings, infrastructure, and human activities.<br><strong>Notes:</strong> Data collection started on November 2022. However, the data before August 2023 were not of high enough quality to be published. Please reach out to the authors if you wish to get access to the data collected between November 2022 and July 2023.
DOI: 10.4121/02dfa7bc-3a78-4dc6-8566-ade668da1bf7.v2
title: TU Delft weather station network - Davis weather station data at CITG

description: <strong>Description:</strong> In-situ measurements of temperature, pressure, relative humidity, rain and wind by a Davis Vantage Pro2 weather station named "Davis-CITG" at the Faculty of Civil Engineering and Geoscience of TU Delft. The station is placed on a pole at 5 meters height, on the western side of the main entrance of the CITG building. The data are mainly intended for educational or scientific research purposes, and not for long-term climate monitoring.<br><strong>Format:</strong> Each NetCDF file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any post-processing. The NetCDF files contain all relevant information about all the variables, attributes and units. The global attributes of the NetCDF files contain important information about the type of sensor, logging software, project contributors and history of the dataset. If a monthly file is missing, no data are available for this month.<br><strong>Relevance:</strong> Weather station data provide useful information about local variations in temperature, humidity, wind and precipitation up to a few hundred meters around the observation site. Collecting good weather data in built environments is challenging but crucial for understanding and managing the unique micro-climates created by dense buildings, infrastructure, and human activities.<br><strong>Notes:</strong> Data collection started on November 2022. This dataset will be updated approximately every 3 months. Please reach out to the authors if you wish to access the most recent data.<br><strong>Known issues:</strong>The data before August 2023 were not of high enough quality to be published.
DOI: 10.57745/jt3b9a
title: Abondances_TRM_NIVELLE.tab

description: 2 tabs in the file:
1- Parr density (number of fish/100m2) and abundance estimates (median, 2.5%, and 97.5% quantiles).
2- Adult abundance estimates (median, 2.5%, and 97.5% quantiles) by size categories: &lt;400 mm, 400–600 mm, &gt;600 mm.
DOI: 10.57745/jtanyq
title: Abondances_TRM_BRESLE.tab

description: 2 tabs in the file:
1- Smolt abundance estimates (median, 2.5%, and 97.5% quantiles).
2- Adult abundance estimates (median, 2.5%, and 97.5% quantiles) by size categories: &lt;400 mm, 400–600 mm, &gt;600 mm.
DOI: 10.57745/yj19jl
title: Abondances_TRM_OIR.tab

description: 3 tabs in the file:
1- Parr density (number of fish/100m2) and abundance estimates (median, 2.5%, and 97.5% quantiles).
2- Smolt abundance estimates (median, 2.5%, and 97.5% quantiles).
3- Adult abundance estimates (median, 2.5%, and 97.5% quantiles) by size categories: &lt;400 mm, &gt;400 mm.
DOI: 10.60541/hn2d-j752
title: Act for Public Health: Public Health Authority Limits

description: Since January 1, 2021, legislators in all 50 states have introduced bills limiting the authority of governors, state health officials, and/or local health officials regarding public health emergency orders in various ways. The legislative efforts to limit public health authority include bills that restrict the scope of an emergency order, bills that limit the duration of an emergency order or state of emergency, and bills that allow legislatures to terminate an emergency order.

This longitudinal dataset captures details of legislation limiting the emergency public health authority of state governors, state health officials, and local health officials introduced between January 1, 2021, and May 20, 2022, in all 50 U.S. states and the District of Columbia. This dataset contains parallel, often overlapping records to show multiple bills that may exist at the same time within a given state. States with such records are indicated on the map with an asterisk; individual record responses can be viewed by clicking on the state within the map or table view. Each individual bill is coded as a separate instance and labeled by its bill number. 

This dataset is one of six that were created in collaboration with the Association of State and Territorial Health Officials and the Network for Public Health Law as part of the Act for Public Health initiative.
DOI: 10.15468/dl.7xmvdk
title: Occurrence Download

description: A dataset containing 319454 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Issue is one of (Continent derived from coordinates, Geodetic datum assumed WGS84, Coordinate rounded, Country derived from coordinates, The taxon concept ID was not used in backbone matching, The taxon ID was not used in backbone matching, The scientific name ID was not used in backbone matching)",
 "TaxonKey is Elanus caeruleus (Desfontaines, 1789)",
 "Year 1990-2020"
 ]
}

 The dataset includes 319454 records from 474 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005482-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/rx29-yw62
title: JWST MIRI Transmission Spectrum of K2-18 b

description: Data from JWST Program GO 2722 published in Madhusudhan et al. 2025.
DOI: 10.5519/qd.macy6lks
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.15468/dl.cmwwk7
title: Occurrence Download

description: A dataset containing 1367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pomadasys incisus (Bowdich, 1825)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen, Material sample)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1367 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004702-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c98nl3
title: Occurrence Download

description: A dataset containing 237995888 species occurrences available in GBIF matching the query:
{
 "or" : [
 "Depth is 80m",
 "TaxonKey is Tracheophyta",
 {
 "or" : [
 "DecimalLatitude is 12",
 "DecimalLatitude is 17"
 ]
 },
 {
 "or" : [
 "DecimalLongitude is 45",
 "DecimalLongitude is 50"
 ]
 }
 ]
}

 The dataset includes 237995888 records from 4352 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007275-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive151010.20251217.10
title: Vibrio fluvialis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive151011.20241212.9.2
title: Alcaligenes sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0138714.10fu
title: SH0138714.10FU

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.18169342
title: Experimental demonstration of acoustic complementary media for superscattering
DOI: 10.13145/bacdive151011.20251217.10
title: Alcaligenes sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive151012.20230509.8.1
title: Staphylococcus epidermidis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0138715.10fu
title: SH0138715.10FU

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: 10.13145/bacdive151012.20251217.10
title: Staphylococcus epidermidis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0138716.10fu
title: SH0138716.10FU

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: 10.13145/bacdive151013.20241212.9.2
title: Streptococcus salivarius subsp. thermophilus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive151013.20251217.10
title: Streptococcus salivarius subsp. thermophilus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.3535/2ha-zs2-5vq
title: Lypusidae Herrich-Schäffer, 1857

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/3ff-vba-0ey
title: Animalia

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.13145/bacdive151014.20241212.9.2
title: Vibrio cholerae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive151014.20251217.10
title: Vibrio cholerae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0138717.10fu
title: SH0138717.10FU

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: 10.3535/3hx-h8p-18j
title: Animalia

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/abj-nlr-wv1
title: Speranza Curtis, 1828

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/ptt-060-82h
title: Animalia

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.13145/bacdive151015.20241212.9.2
title: Vibrio alginolyticus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive151015.20251217.10
title: Vibrio alginolyticus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0138718.10fu
title: SH0138718.10FU

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: 10.3535/jy1-2zj-8q0
title: Lypusidae Herrich-Schäffer, 1857

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/s2s-qpt-c0e
title: Lypusidae Herrich-Schäffer, 1857

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.13145/bacdive151016.20241212.9.2
title: Vibrio cholerae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0138719.10fu
title: SH0138719.10FU

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: 10.13145/bacdive151016.20251217.10
title: Vibrio cholerae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive151017.20241212.9.2
title: Neisseria weaveri

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.