cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/mlc-m2d-kfm
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0n5-hvs-y2a
title: Duvalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ap4-ptm-55p
title: Duvalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/h9e-bzk-yjy
title: Pseudobelus

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/b8z-s6g-re3
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4ba-65t-g07
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8nw-04h-eyg
title: Juvavites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bsh-cev-1kq
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e7j-rfd-7zt
title: Gypsina Carter, 1877

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lae-sm0-z2k
title: Duvalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yxb-p8l-2jb
title: Amphistegina radiata (Fichtel & Moll, 1798)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.34894/oosgjt
title: 25.072 Harelbeke - Evolis II

description: Voorafgaangd aan de inrichting van het bedrijventerrein Evolis II in Harelbeke is archeologisch onderzoek uitgevoerd. Hierbij zijn vijf waterputten aangetroffen die (voor zover mogelijk) in hun volledigheid zijn aangeleverd voor dendrochronologisch onderzoek.
Van vier waterputten wordt een Romeinse ouderdom verwacht, maar van één waterput (S43) is de ouderdom onduidelijk. Deze waterput is samengesteld uit eik (Quercus spp.) en een klein deel beuk (Fagus sylvatica L.). Het beukenhout is te snel gegroeid om in aanmerking te komen voor dendrochronologisch onderzoek. Uit het eiken zijn tien monsters geselecteerd die een reeks verschillende dateringen laten zien. Het oudste monster kan gedateerd worden in 570. Het spinthout of de wankant ontbreekt hier, waardoor geen afgebakend kapinterval bepaald kan worden. De volgende fase omvat zeven monsters en dateert in de herfst/winter van 846/47. Een aantal planken zijn uit dezelfde boom afkomstig (hiervoor zijn boom-middelcurven gemaakt). Overige twee dateringen vallen in de zomer van 863 en rond 876 en vertegendwoordigen verschillende activiteiten, mogelijk latere herstellingen.
De vier Romeinse waterputten dateren allemaal in de eerste helft van de tweede eeuw.
Voor het hout van spoornummer 663, 1157 en 1158 valt het kapjaar grofweg rond 135. Op basis van de spinthoutschattingen lijkt hier enkele jaren verschil te zijn, maar het kan hier even goed om gelijktijdig geplaatste waterputten gaan. Voor spoornummer 2314 kan geen afgebakend kapinterval bepaald worden, maar de ouderdom lijkt niet heel anders dan die van de overige Romeinse waterputten.
DOI: 10.5281/zenodo.17312652
title: Static X-ray CT of Various Brands of Spaghetti Noodles

description: Sample information

 

The dataset consists of a scan of 4 various pasta bundles of different brands (Albert Heijn - Spelt, Albert Heijn - Durum, DeCecco, Gran Italia) placed inside a bottle. The pasta was suspended at the bottleneck using a sponge to hold it in position. Scanning was focused on the bottleneck region. This scan was performed under static conditions: the pasta is suspended in air. The dynamic counterpart of a spaghetti pasta can be found here: 10.5281/zenodo.15688351.

 

Scanner information

The dataset was scanned in the FleX-ray Laboratory located at CWI in Amsterdam. The Flex-ray scanner is custom-built and consists of a cone-beam microfocus X-ray point source.  More system details are available in [Coban 2020].

 

Scanning Settings

The acquisition lasted approximately 6 minutes with a smooth scan type consisting of 2867 projections per full 360° rotation. The setup used a source-to-detector distance (SDD) of 398.99 mm and a source-to-object distance (SOD) of 124.91 mm, resulting in a magnification factor of 3.19 and a voxel size of 23.42 µm. The X-ray tube operated at 50 kV and 40 W in high-power focus mode, with target power output. Images were captured using a detector with an original pixel size of 0.0748 mm and an exposure time of 59.998 ms per frame. For all 4 types of pasta, the same settings were applied.

 

Folder/file name description

There are eight compressed folders in total: four containing the metadata and four containing the corresponding reconstruction files for the scans. The metadata folders include configuration files (e.g., scan_settings.txt) that store the scan parameters and other essential information required for image reconstruction. Each reconstruction folder corresponds to a specific pasta brand and contains 2867 projection images, representing a full 360° rotation. All folders share the same flat-field correction images, which are used for image normalization during the reconstruction process. A script (DeCecco_data_reconstruction.py) is also provided for preprocessing and reconstructing the static volume through the ASTRA toolbox.

 

Research Group

This dataset was produced during a 5-day ASTRA workshop hosted and organized by Leiden University for the RELIANCE Doctoral Network (https://www.chalmers.se/en/projects/reliance/).

 

Contact Details

marychrismcr@liacs.leidenuniv.nl

 

Acknowledgement

This research received funding from Horizon Europe through the MSCA Doctoral Network RELIANCE, grant no. 101073040. 

 

References

[Coban 2020] S. B. Coban, F. Lucka, W. J. Palenstijn, D. Van Loo, and K. J. Batenburg, "Explorative imaging and its implementation at the FleX-ray Laboratory," J. Imaging, vol. 6, no. 18, 2020, doi: 10.3390/jimaging6040018.

[Aarle 2015] W. V. Aarle et al., "The ASTRA toolbox: A platform for advanced algorithm development in electron tomography," Ultramicroscopy, vol. 157, pp. 35–47, 2015.
DOI: 10.5281/zenodo.17312653
title: Static X-ray CT of Various Brands of Spaghetti Noodles

description: Sample information

 

The dataset consists of a scan of 4 various pasta bundles of different brands (Albert Heijn - Spelt, Albert Heijn - Durum, DeCecco, Gran Italia) placed inside a bottle. The pasta was suspended at the bottleneck using a sponge to hold it in position. Scanning was focused on the bottleneck region. This scan was performed under static conditions: the pasta is suspended in air. The dynamic counterpart of a spaghetti pasta can be found here: 10.5281/zenodo.15688351.

 

Scanner information

The dataset was scanned in the FleX-ray Laboratory located at CWI in Amsterdam. The Flex-ray scanner is custom-built and consists of a cone-beam microfocus X-ray point source.  More system details are available in [Coban 2020].

 

Scanning Settings

The acquisition lasted approximately 6 minutes with a smooth scan type consisting of 2867 projections per full 360° rotation. The setup used a source-to-detector distance (SDD) of 398.99 mm and a source-to-object distance (SOD) of 124.91 mm, resulting in a magnification factor of 3.19 and a voxel size of 23.42 µm. The X-ray tube operated at 50 kV and 40 W in high-power focus mode, with target power output. Images were captured using a detector with an original pixel size of 0.0748 mm and an exposure time of 59.998 ms per frame. For all 4 types of pasta, the same settings were applied.

 

Folder/file name description

There are eight compressed folders in total: four containing the metadata and four containing the corresponding reconstruction files for the scans. The metadata folders include configuration files (e.g., scan_settings.txt) that store the scan parameters and other essential information required for image reconstruction. Each reconstruction folder corresponds to a specific pasta brand and contains 2867 projection images, representing a full 360° rotation. All folders share the same flat-field correction images, which are used for image normalization during the reconstruction process. A script (DeCecco_data_reconstruction.py) is also provided for preprocessing and reconstructing the static volume through the ASTRA toolbox.

 

Research Group

This dataset was produced during a 5-day ASTRA workshop hosted and organized by Leiden University for the RELIANCE Doctoral Network (https://www.chalmers.se/en/projects/reliance/).

 

Contact Details

marychrismcr@liacs.leidenuniv.nl

 

Acknowledgement

This research received funding from Horizon Europe through the MSCA Doctoral Network RELIANCE, grant no. 101073040. 

 

References

[Coban 2020] S. B. Coban, F. Lucka, W. J. Palenstijn, D. Van Loo, and K. J. Batenburg, "Explorative imaging and its implementation at the FleX-ray Laboratory," J. Imaging, vol. 6, no. 18, 2020, doi: 10.3390/jimaging6040018.

[Aarle 2015] W. V. Aarle et al., "The ASTRA toolbox: A platform for advanced algorithm development in electron tomography," Ultramicroscopy, vol. 157, pp. 35–47, 2015.
DOI: 10.15156/bio/sh1390264.10fu
title: SH1390264.10FU

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.qxacrh
title: Occurrence Download

description: A dataset containing 17335 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sardina pilchardus",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 17335 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005963-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1390266.10fu
title: SH1390266.10FU

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: 10.13127/etna/respira
title: Remote sEnsing obServations of source Parameters and data IntegRation at EtnA: the RESPIRA database
title: RESPIRA

description: In this work, we present an online dataset named RESPIRA: Remote sEnsing obServations of source Parameters and data IntegRation at EtnA. The RESPIRA dataset includes column heights, mass eruption rate and total grain-size distribution derived from past publications, from new analyses using different sensors and/or derived from well-known formulation.
DOI: 10.15156/bio/sh1390270.10fu
title: SH1390270.10FU

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/sh1390271.10fu
title: SH1390271.10FU

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: 10.6084/m9.figshare.31055818
title: Climate-dependent effects of livestock species on soil food web energy fluxes in a temperate steppe

description: This study investigates the interactive effects of different livestock grazing regimes and interannual climate variation on energy flux and trophic functions within the belowground food web, based on data from a long-term grazing experiment in the Inner Mongolian steppe.
DOI: 10.6084/m9.figshare.31055818.v1
title: Climate-dependent effects of livestock species on soil food web energy fluxes in a temperate steppe

description: This study investigates the interactive effects of different livestock grazing regimes and interannual climate variation on energy flux and trophic functions within the belowground food web, based on data from a long-term grazing experiment in the Inner Mongolian steppe.
DOI: 10.15156/bio/sh1390275.10fu
title: SH1390275.10FU

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/sh1390277.10fu
title: SH1390277.10FU

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/sh1390280.10fu
title: SH1390280.10FU

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/sh1390282.10fu
title: SH1390282.10FU

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/sh1390283.10fu
title: SH1390283.10FU

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.gsbez8
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syringa oblata subsp. oblata",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true"
 ]
}

 The dataset includes 37 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021211-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4csvda
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trioceros cristatus (Stutchbury, 1837))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 119 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022640-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dpufnh
title: Occurrence Download

description: A dataset containing 1835 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eurycea multiplicata (Cope, 1869)"
 ]
}

 The dataset includes 1835 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009621-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.thp3k6
title: Occurrence Download

description: A dataset containing 107766 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Oriolus sagittatus",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 107766 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078187-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.