cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/r0r-mzt-3dt
title: Nummulitidae Blainville, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/h06-0xy-5cq
title: †Miogypsina Sacco, 1893

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lr7-zn2-mat
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7dc-vaw-dr0
title: Nummulitidae Blainville, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dfa-hmh-rkv
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4dp-1pn-mzt
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5cy-92w-ajs
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/f4g-y35-may
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/by7-3gd-vxe
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yhj-3lg-vw1
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7z6-vd2-53h
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/v7w-enb-xpk
title: †Planulina kansasensis Morrow, 1934

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3r0-yjf-7x5
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kjp-yvh-lac
title: Planorbulinella Cushman, 1927

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gmz-94v-mbv
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hw9-kqx-lgr
title: Nummulitidae Blainville, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cq6-bvh-dq3
title: Nummulitidae Blainville, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.25582/data.2024-04.3093871/2559706
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3093872/2559707
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3093873/2559708
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3093874/2559709
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3093875/2559710
title: Data for EMSL Project 51287 from April 2024
DOI: 10.15468/dl.f8ngjz
title: Occurrence Download

description: A dataset containing 311 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acacia modesta Wall."
 ]
}

 The dataset includes 311 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007516-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-04.3093876/2559711
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3093878/2559712
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3093879/2559713
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3093880/2559714
title: Data for EMSL Project 51287 from April 2024
DOI: 10.7910/dvn/i457vs
title: Replication data for: "Decomposing the Within-Firm Productivity Gains From Trade: Evidence From India"

description: Review of Economics and Statistics: Forthcoming
description: Volume XX, Issue X
DOI: 10.15156/bio/sh1405574.10fu
title: SH1405574.10FU

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/sh1405577.10fu
title: SH1405577.10FU

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/sh1405579.10fu
title: SH1405579.10FU

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: 10.5258/soton/d3504
title: Dataset supporting the publication of "Towards High Resolution Trimming of Silicon Photonic Waveguides"

description: This dataset contains the experimental data used to generate the figures in "Towards High Resolution Trimming of Silicon Photonic Waveguides".
DOI: 10.15156/bio/sh1405580.10fu
title: SH1405580.10FU

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/sh1405584.10fu
title: SH1405584.10FU

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/sh1405586.10fu
title: SH1405586.10FU

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/sh1405587.10fu
title: SH1405587.10FU

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/sh1405588.10fu
title: SH1405588.10FU

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.55dbdf
title: Occurrence Download

description: A dataset containing 19744 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Morpho Fabricius, 1807"
 ]
}

 The dataset includes 19744 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208630-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ibalbf
title: Occurrence Download

description: A dataset containing 8 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 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030749-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.adkne4
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hylophila nipponica (Fukuy.) T.P.Lin"
 ]
}

 The dataset includes 20 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031759-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.unomky
title: Occurrence Download

description: A dataset containing 8 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 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030784-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11518866
title: Shapetastic OOD

description: This dataset was created with the Shapetastic generator and has multiple partitions as follows.

First, a partition with 50k grayscale images with a white background and black shapes drawn from each of the five available shapes, where the outline varies in width and is always gray.

Second, a partition with 50k images similar to the previous, except that colors of both background and shapes are randomly selected from a color palette comprising 148 colors.Again, the outline varies in width, but this time always in the interpolated color between the background and the color of the shape.With this partition, we can for instance assess the impact of the presence of colors compared to the grayscale images.

Third, a partition with 60k grayscale images with a white background and black elongated rectangles, ellipses, and parallelograms where the outline varies in width and is always gray.Here, the focus lies on more fine-grained rotations every five degrees between 0 and 180 degrees.We needed to constrain some parameters to make sure the shapes were oriented according to the ground truth, which is for instance not possible if we would include polygons and stars.This partition allows us to unveil a bias in the methods that is rooted in the predominant edge orientation of the image.

Each of these partitions have a resolution of 200x200 pixels.

 

Last, two partitions that each contain 50k images of 5 different shapes without interpolations at the outlines. One dataset was generated directly with 32x32 pixels while the  other was generated with 64x64 pixels. These partitions allow us to investigate any side effects of resizing to 32x32 pixels.
DOI: 10.5281/zenodo.11518865
title: Shapetastic OOD

description: This dataset was created with the Shapetastic generator and has multiple partitions as follows.

First, a partition with 50k grayscale images with a white background and black shapes drawn from each of the five available shapes, where the outline varies in width and is always gray.

Second, a partition with 50k images similar to the previous, except that colors of both background and shapes are randomly selected from a color palette comprising 148 colors.Again, the outline varies in width, but this time always in the interpolated color between the background and the color of the shape.With this partition, we can for instance assess the impact of the presence of colors compared to the grayscale images.

Third, a partition with 60k grayscale images with a white background and black elongated rectangles, ellipses, and parallelograms where the outline varies in width and is always gray.Here, the focus lies on more fine-grained rotations every five degrees between 0 and 180 degrees.We needed to constrain some parameters to make sure the shapes were oriented according to the ground truth, which is for instance not possible if we would include polygons and stars.This partition allows us to unveil a bias in the methods that is rooted in the predominant edge orientation of the image.

Each of these partitions have a resolution of 200x200 pixels.

 

Last, two partitions that each contain 50k images of 5 different shapes without interpolations at the outlines. One dataset was generated directly with 32x32 pixels while the  other was generated with 64x64 pixels. These partitions allow us to investigate any side effects of resizing to 32x32 pixels.
DOI: 10.5281/zenodo.11635168
title: IXI – Information eXtraction from Images | Cortical Volume

description: This dataset contains cortical volume data, computed from the T1-w images present in the original IXI dataset.

Structural pre-processing was conducted using FreeSurfer 6.0, with default parameters, and includes the following steps:



motion correction

skull stripping

removal of cerebellum and brain stem

intensity correction

segmentation

tassellation

smoothing 

topology correction


Cortical volume was produced for 68 brain regions from the Desikan-Killiany brain atlas (34 per hemisphere, measured in mm3)

The original data has been collected as part of the project: IXI – Information eXtraction from Images (EPSRC GR/S21533/02)Information and data for the original IXI dataset can be found here.

This data is made available under the Creative Commons CC BY-SA 3.0 license. If you use the IXI data please acknowledge the source of the IXI data.
DOI: 10.5281/zenodo.11635167
title: IXI – Information eXtraction from Images | Cortical Volume

description: This dataset contains cortical volume data, computed from the T1-w images present in the original IXI dataset.

Structural pre-processing was conducted using FreeSurfer 6.0, with default parameters, and includes the following steps:



motion correction

skull stripping

removal of cerebellum and brain stem

intensity correction

segmentation

tassellation

smoothing 

topology correction


Cortical volume was produced for 68 brain regions from the Desikan-Killiany brain atlas (34 per hemisphere, measured in mm3)

The original data has been collected as part of the project: IXI – Information eXtraction from Images (EPSRC GR/S21533/02)Information and data for the original IXI dataset can be found here.

This data is made available under the Creative Commons CC BY-SA 3.0 license. If you use the IXI data please acknowledge the source of the IXI data.
DOI: 10.15468/dl.jn2kyp
title: Occurrence Download

description: A dataset containing 753318305 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Animalia"
 ]
}

 The dataset includes 753318305 records from 14469 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051709-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/iw73uu/voqn4j
title: QAS_L_day.csv

description: Uploaded with pyDataverse 2026-02-16 14:17
DOI: 10.15468/dl.pvdn98
title: Occurrence Download

description: A dataset containing 41219 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chordata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2025",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation)",
 "CoordinateUncertaintyInMeters is less than or equal to 500",
 "Geometry MULTIPOLYGON (((-119.9301 34.55229, -119.8434 34.56367, -119.8152 34.56054, -119.6085 34.56579, -119.4707 34.59247, -119.3303 34.59494, -119.1935 34.62746, -119.0713 34.68798, -118.9721 34.77244, -118.9025 34.87513, -118.8675 34.98912, -118.8696 35.10666, -118.8859 35.16755, -118.8626 35.27101, -118.8721 35.38828, -118.9186 35.49951, -119.0109 35.62381, -119.1146 35.70553, -119.241 35.76248, -119.3813 35.79074, -119.5224 35.7887, -119.6567 35.82116, -119.8013 35.82457, -119.8586 35.81728, -119.9948 35.83127, -120.1382 35.81585, -120.2716 35.77065, -120.3859 35.6988, -120.4733 35.60526, -120.5277 35.49646, -120.5457 35.37986, -120.5296 35.27506, -120.54 35.15808, -120.5289 35.0695, -120.5319 34.95196, -120.4978 34.83779, -120.429 34.73474, -120.3305 34.64976, -120.2089 34.58861, -120.0724 34.55537, -119.9301 34.55229)), ((-120.3534 36.10423, -120.2537 36.18969, -120.1392 36.35359, -120.098 36.46625, -120.0943 36.58366, -120.1007 36.70549, -120.1425 36.81805, -120.2193 36.91806, -120.3261 36.99864, -120.4555 37.05425, -120.5208 37.07616, -120.6282 37.15648, -120.7581 37.21175, -120.9016 37.23816, -121.0488 37.23388, -121.1896 37.1992, -121.314 37.13653, -121.4137 37.0502, -121.4588 37.01075, -121.5581 36.92429, -121.6259 36.82017, -121.6576 36.70552, -121.6591 36.56064, -121.6329 36.469, -121.5679 36.36385, -121.4716 36.27577, -121.3505 36.21069, -121.2129 36.17298, -121.1357 36.16514, -121.0299 36.08589, -120.9017 36.03089, -120.7605 36.00447, -120.6156 36.0084, -120.4768 36.04241, -120.3534 36.10423)))"
 ]
}

 The dataset includes 41219 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025182-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/iw73uu/oibgsm
title: QAS_L_hour.nc

description: Uploaded with pyDataverse 2026-02-16 14:18
DOI: 10.22008/fk2/iw73uu/rpegb1
title: QAS_L_hour.csv

description: Uploaded with pyDataverse 2026-02-16 14:18
DOI: 10.22008/fk2/iw73uu/p0bdnp
title: QAS_L_month.nc

description: Uploaded with pyDataverse 2026-02-16 14:19
DOI: 10.22008/fk2/iw73uu/fyg2yd
title: QAS_L_month.csv

description: Uploaded with pyDataverse 2026-02-16 14:19