cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.jkb7vp
title: Occurrence Download

description: A dataset containing 645 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Occurrence records of mammal species in Taita-Taveta, Kwale and Kilifi counties in Kenya"
 ]
}

 The dataset includes 645 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049907-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/fckyf2
title: PAN-00174820 - decorative Roman horse gear fitting group B9

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00174820&lt;/p&gt;
description: Modified: 2025-07-31T17:36:06+02:00
DOI: 10.34740/kaggle/dsv/14131793
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.2ca6hc
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "TaxonKey is Ilex cinerea"
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049909-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xedku4
title: Occurrence Download

description: A dataset containing 852 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Arctotheca calendula",
 "Year 2024-2025"
 ]
}

 The dataset includes 852 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049910-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/gfz.sddb.1265
title: XRD of Cuttings of the KTB Pilot Hole VB1b

description: The qualitative and quantitative phase analyses were performed in the KTB field laboratory by x-ray powder diffraction using SIEMENS D 500 diffractometer. During early stages of the KTB project a new method for quantitative phase analysis was developed (see references below). The method is based on the comparison of the diffraction spectrum of the unknown sample with those of pure minerals. The powder diffraction data of the minerals are stored in a database built up of 250 natural minerals separated from various types of igneous and metamorphic rocks. The complete analyses (radiation: Cu K alpha, lambda: 1,5405Å, stepwidth: 0,01°, counting time 2 sec/step, angle 2-80°) was carried out automatically including computations. The results of this quantitative phase analysis were used e.g. to check thin section petrography (and vice versa) and to construct a \\\"mineralogical rock composition log\\\".
DOI: 10.1594/gfz.sddb.1266
title: XRD of Cuttings of the KTB Pilot Hole HB1

description: The qualitative and quantitative phase analyses were performed in the KTB field laboratory by x-ray powder diffraction using SIEMENS D 500 diffractometer. During early stages of the KTB project a new method for quantitative phase analysis was developed (see references below). The method is based on the comparison of the diffraction spectrum of the unknown sample with those of pure minerals. The powder diffraction data of the minerals are stored in a database built up of 250 natural minerals separated from various types of igneous and metamorphic rocks. The complete analyses (radiation: Cu K alpha, lambda: 1,5405Å, stepwidth: 0,01°, counting time 2 sec/step, angle 2-80°) was carried out automatically including computations. The results of this quantitative phase analysis were used e.g. to check thin section petrography (and vice versa) and to construct a \"mineralogical rock composition log\".
DOI: 10.1594/gfz.sddb.1271
title: XRD of Cuttings of the KTB Main Hole HB1i

description: The qualitative and quantitative phase analyses were performed in the KTB field laboratory by x-ray powder diffraction using SIEMENS D 500 diffractometer. During early stages of the KTB project a new method for quantitative phase analysis was developed (see references below). The method is based on the comparison of the diffraction spectrum of the unknown sample with those of pure minerals. The powder diffraction data of the minerals are stored in a database built up of 250 natural minerals separated from various types of igneous and metamorphic rocks. The complete analyses (radiation: Cu K alpha, lambda: 1,5405Å, stepwidth: 0,01°, counting time 2 sec/step, angle 2-80°) was carried out automatically including computations. The results of this quantitative phase analysis were used e.g. to check thin section petrography (and vice versa) and to construct a \"mineralogical rock composition log\".
DOI: 10.5281/zenodo.17872292
title: spaTransfer: transfer learning for single-cell and spatial transcriptomics data using non-negative matrix factorization

description: This repository contains the processed data for the analyses associated with the manuscript "spaTransfer: transfer learning for single-cell and spatial transcriptomics data using non-negative matrix factorization". 

Once unzipped, the processed-data folder contains the following folders:



dlpfc:



One folder for each of the dlpfc samples used in the manuscript (6 total), containing:



*-raw-SPE.RDS: SpatialExperiment objects containing the pre-QC Xenium raw counts matrices for each sample

*-filt-SPE.RDS: SpatialExperiment objects containing the post-QC Xenium counts matrices for each sample

*-filt-predLabels-SPE-bayesspace-logcounts.RDS: SpatialExperiment objects containing the post-QC Xenium counts matrices with spaTransfer domain predictions stored in the colData.



traam-outputs, a folder containing the spaTransfer outputs for the analyses in Figure 2.

04_methodComparisons:



unsupervised_xenium_comparisons: 



One folder for each of the 5 unsupervised clustering methods benchmarked in Figure 4b. Each folder contains either SpatialExperiment or AnnData objects with the clustering method's labels stored in the colData. 

*_labels.csv and *_metrics.csv: Labels and internal metrics for each of the clustering methods, respectively.



visium_comparisons:



One folder for each of the 3 label transfer methods benchmarked in Figure 4a. Eaach folder contains SpatialExperiment objects with the label transfer method's labels stored in the colData.

*ARI*.csv: files contain ARI and NMI values for the label transfer methods.







hpc:



One folder for each of the hpc samples used in the manuscript (6 total), containing:



*-raw-SPE.RDS: SpatialExperiment objects containing the pre-QC Xenium raw counts matrices for each sample

*-filt-SPE.RDS: SpatialExperiment objects containing the post-QC Xenium counts matrices for each sample

*-filt-predLabels-SPE-bayesspace-logcounts.RDS: SpatialExperiment objects containing the post-QC Xenium counts matrices with spaTransfer domain predictions stored in the colData.



traam-outputs, a folder containing the spaTransfer outputs for the analyses in Figure 3.

custom-panel-pseudobulkedByDomain-SPE.RDS: pseudobulked SpatialExperiment object used Figure S14-S16.
DOI: 10.5281/zenodo.17872293
title: spaTransfer: transfer learning for single-cell and spatial transcriptomics data using non-negative matrix factorization

description: This repository contains the processed data for the analyses associated with the manuscript "spaTransfer: transfer learning for single-cell and spatial transcriptomics data using non-negative matrix factorization". 

Once unzipped, the processed-data folder contains the following folders:



dlpfc:



One folder for each of the dlpfc samples used in the manuscript (6 total), containing:



*-raw-SPE.RDS: SpatialExperiment objects containing the pre-QC Xenium raw counts matrices for each sample

*-filt-SPE.RDS: SpatialExperiment objects containing the post-QC Xenium counts matrices for each sample

*-filt-predLabels-SPE-bayesspace-logcounts.RDS: SpatialExperiment objects containing the post-QC Xenium counts matrices with spaTransfer domain predictions stored in the colData.



traam-outputs, a folder containing the spaTransfer outputs for the analyses in Figure 2.

04_methodComparisons:



unsupervised_xenium_comparisons: 



One folder for each of the 5 unsupervised clustering methods benchmarked in Figure 4b. Each folder contains either SpatialExperiment or AnnData objects with the clustering method's labels stored in the colData. 

*_labels.csv and *_metrics.csv: Labels and internal metrics for each of the clustering methods, respectively.



visium_comparisons:



One folder for each of the 3 label transfer methods benchmarked in Figure 4a. Eaach folder contains SpatialExperiment objects with the label transfer method's labels stored in the colData.

*ARI*.csv: files contain ARI and NMI values for the label transfer methods.







hpc:



One folder for each of the hpc samples used in the manuscript (6 total), containing:



*-raw-SPE.RDS: SpatialExperiment objects containing the pre-QC Xenium raw counts matrices for each sample

*-filt-SPE.RDS: SpatialExperiment objects containing the post-QC Xenium counts matrices for each sample

*-filt-predLabels-SPE-bayesspace-logcounts.RDS: SpatialExperiment objects containing the post-QC Xenium counts matrices with spaTransfer domain predictions stored in the colData.



traam-outputs, a folder containing the spaTransfer outputs for the analyses in Figure 3.

custom-panel-pseudobulkedByDomain-SPE.RDS: pseudobulked SpatialExperiment object used Figure S14-S16.
DOI: 10.1594/gfz.sddb.1275
title: XRD of Cores of the KTB Main Hole HB1a

description: The qualitative and quantitative phase analyses were performed in the KTB field laboratory by x-ray powder diffraction using SIEMENS D 500 diffractometer. During early stages of the KTB project a new method for quantitative phase analysis was developed (see references below). The method is based on the comparison of the diffraction spectrum of the unknown sample with those of pure minerals. The powder diffraction data of the minerals are stored in a database built up of 250 natural minerals separated from various types of igneous and metamorphic rocks. The complete analyses (radiation: Cu K alpha, lambda: 1,5405Å, stepwidth: 0,01°, counting time 2 sec/step, angle 2-80°) was carried out automatically including computations. The results of this quantitative phase analysis were used e.g. to check thin section petrography (and vice versa) and to construct a \"mineralogical rock composition log\".
DOI: 10.1594/gfz.sddb.1276
title: XRD of Cores of the KTB Main Hole HB1d

description: The qualitative and quantitative phase analyses were performed in the KTB field laboratory by x-ray powder diffraction using SIEMENS D 500 diffractometer. During early stages of the KTB project a new method for quantitative phase analysis was developed (see references below). The method is based on the comparison of the diffraction spectrum of the unknown sample with those of pure minerals. The powder diffraction data of the minerals are stored in a database built up of 250 natural minerals separated from various types of igneous and metamorphic rocks. The complete analyses (radiation: Cu K alpha, lambda: 1,5405Å, stepwidth: 0,01°, counting time 2 sec/step, angle 2-80°) was carried out automatically including computations. The results of this quantitative phase analysis were used e.g. to check thin section petrography (and vice versa) and to construct a \"mineralogical rock composition log\".
DOI: 10.1594/gfz.sddb.1277
title: XRD of Cores of the KTB Main Hole HB1g

description: The qualitative and quantitative phase analyses were performed in the KTB field laboratory by x-ray powder diffraction using SIEMENS D 500 diffractometer. During early stages of the KTB project a new method for quantitative phase analysis was developed (see references below). The method is based on the comparison of the diffraction spectrum of the unknown sample with those of pure minerals. The powder diffraction data of the minerals are stored in a database built up of 250 natural minerals separated from various types of igneous and metamorphic rocks. The complete analyses (radiation: Cu K alpha, lambda: 1,5405Å, stepwidth: 0,01°, counting time 2 sec/step, angle 2-80°) was carried out automatically including computations. The results of this quantitative phase analysis were used e.g. to check thin section petrography (and vice versa) and to construct a \"mineralogical rock composition log\".
DOI: 10.1594/gfz.sddb.1278
title: XRD of Cores of the KTB Main Hole HB1i

description: The qualitative and quantitative phase analyses were performed in the KTB field laboratory by x-ray powder diffraction using SIEMENS D 500 diffractometer. During early stages of the KTB project a new method for quantitative phase analysis was developed (see references below). The method is based on the comparison of the diffraction spectrum of the unknown sample with those of pure minerals. The powder diffraction data of the minerals are stored in a database built up of 250 natural minerals separated from various types of igneous and metamorphic rocks. The complete analyses (radiation: Cu K alpha, lambda: 1,5405Å, stepwidth: 0,01°, counting time 2 sec/step, angle 2-80°) was carried out automatically including computations. The results of this quantitative phase analysis were used e.g. to check thin section petrography (and vice versa) and to construct a \"mineralogical rock composition log\".
DOI: 10.15468/dl.5vt38c
title: Occurrence Download

description: A dataset containing 218663 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Coccyzus erythropthalmus)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1951",
 "Year is less than or equal to 2024",
 "Month is greater than or equal to April",
 "Month is less than or equal to July",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 218663 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049878-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/gfz.sddb.1279
title: Density of Cuttings of the KTB Pilot Hole Vb1

description: The density of rocks depends on the mineral contents and is therefore a helpful property for the discrimination of lithological units. It is also used for the calculation of several other properties, like the heat production rate from potassium, uranium and thorium contents, volume susceptibility, thermal conductivity, etc. The density of cuttings and cores is determined by the Archimedian method. The weight of the sample is determined in air and in water. Knowing the density of water, the volume and the density of the sample is calculated.
Air adsorbed by the large surface of the cuttings causes errors in the calculated volume. Therefore, the specific surface of the cuttings is minimized by using only cuttings greater than 2 mm in diameter. The depth interval of the measurements is generally 2 m.
DOI: 10.1594/gfz.sddb.1280
title: Density of Cuttings of the KTB Pilot Hole VB1

description: The density of rocks depends on the mineral contents and is therefore a helpful property for the discrimination of lithological units. It is also used for the calculation of several other properties, like the heat production rate from potassium, uranium and thorium contents, volume susceptibility, thermal conductivity, etc. The density of cuttings and cores is determined by the Archimedian method. The weight of the sample is determined in air and in water. Knowing the density of water, the volume and the density of the sample is calculated.
Air adsorbed by the large surface of the cuttings causes errors in the calculated volume. Therefore, the specific surface of the cuttings is minimized by using only cuttings greater than 2 mm in diameter. The depth interval of the measurements is generally 2 m.
DOI: 10.1594/gfz.sddb.1285
title: Density of Cuttings of the KTB Main Hole HB1g

description: The density of rocks depends on the mineral contents and is therefore a helpful property for the discrimination of lithological units. It is also used for the calculation of several other properties, like the heat production rate from potassium, uranium and thorium contents, volume susceptibility, thermal conductivity, etc. The density of cuttings and cores is determined by the Archimedian method. The weight of the sample is determined in air and in water. Knowing the density of water, the volume and the density of the sample is calculated.
Air adsorbed by the large surface of the cuttings causes errors in the calculated volume. Therefore, the specific surface of the cuttings is minimized by using only cuttings greater than 2 mm in diameter. The depth interval of the measurements is generally 2 m.
DOI: 10.1594/gfz.sddb.1290
title: Density of Core Samples of the KTB Pilot Hole VB1a

description: The density of rocks depends on the mineral contents and is therefore a helpful property for the discrimination of lithological units. It is also used for the calculation of several other properties, like the heat production rate from potassium, uranium and thorium contents, volume susceptibility, thermal conductivity, etc. The density of cuttings and cores is determined by the Archimedian method. The weight of the sample is determined in air and in water. Knowing the density of water, the volume and the density of the sample is calculated.
Air adsorbed by the large surface of the cuttings causes errors in the calculated volume. Therefore, the specific surface of the cuttings is minimized by using only cuttings greater than 2 mm in diameter. The depth interval of the measurements is generally 2 m.
DOI: 10.1594/gfz.sddb.1291
title: Density of Core Samples of the KTB Main Hole HB1

description: The density of rocks depends on the mineral contents and is therefore a helpful property for the discrimination of lithological units. It is also used for the calculation of several other properties, like the heat production rate from potassium, uranium and thorium contents, volume susceptibility, thermal conductivity, etc. The density of cuttings and cores is determined by the Archimedian method. The weight of the sample is determined in air and in water. Knowing the density of water, the volume and the density of the sample is calculated.
Air adsorbed by the large surface of the cuttings causes errors in the calculated volume. Therefore, the specific surface of the cuttings is minimized by using only cuttings greater than 2 mm in diameter. The depth interval of the measurements is generally 2 m.
DOI: 10.17026/ar/lnxrfa
title: PAN-00115666 - coin/coin-related, abdij, penning; gehalveerd of gebroken

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00115666&lt;/p&gt;
description: Modified: 2025-10-21T09:08:46+02:00
DOI: 10.1594/gfz.sddb.1292
title: Density of Core Samples of the KTB Main Hole HB1a

description: The density of rocks depends on the mineral contents and is therefore a helpful property for the discrimination of lithological units. It is also used for the calculation of several other properties, like the heat production rate from potassium, uranium and thorium contents, volume susceptibility, thermal conductivity, etc. The density of cuttings and cores is determined by the Archimedian method. The weight of the sample is determined in air and in water. Knowing the density of water, the volume and the density of the sample is calculated.
Air adsorbed by the large surface of the cuttings causes errors in the calculated volume. Therefore, the specific surface of the cuttings is minimized by using only cuttings greater than 2 mm in diameter. The depth interval of the measurements is generally 2 m.
DOI: 10.1594/gfz.sddb.1294
title: Density of Core Samples of the KTB Main Hole HB1i

description: The density of rocks depends on the mineral contents and is therefore a helpful property for the discrimination of lithological units. It is also used for the calculation of several other properties, like the heat production rate from potassium, uranium and thorium contents, volume susceptibility, thermal conductivity, etc. The density of cuttings and cores is determined by the Archimedian method. The weight of the sample is determined in air and in water. Knowing the density of water, the volume and the density of the sample is calculated.
Air adsorbed by the large surface of the cuttings causes errors in the calculated volume. Therefore, the specific surface of the cuttings is minimized by using only cuttings greater than 2 mm in diameter. The depth interval of the measurements is generally 2 m.
DOI: 10.15468/dl.jw5yef
title: Occurrence Download

description: A dataset containing 830453 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters is less than or equal to 2500.0",
 "Geometry POLYGON((-25 10,190 10,190 90,-25 90,-25 10))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Urtica dioica"
 ]
}

 The dataset includes 830453 records from 1309 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049890-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pvasge
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cylindrophiidae",
 "Continent is one of (North America, South America)"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012857-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4nkbek
title: Occurrence Download

description: A dataset containing 755 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Ulmus davidiana var. japonica (Rehder) Nakai",
 "Year 2000-2024"
 ]
}

 The dataset includes 755 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012858-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.94en78
title: Occurrence Download

description: A dataset containing 201 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptodactylus griseigularis (Henle, 1981)"
 ]
}

 The dataset includes 201 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012860-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n3vx78
title: Occurrence Download

description: A dataset containing 1924 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material citation, Living Specimen)",
 "Country is Mexico",
 "TaxonKey is Pharomachrus mocinno La Llave, 1832"
 ]
}

 The dataset includes 1924 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012861-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.