cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.q8p47y
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is SWE.13.19_1",
 "TaxonKey is Ficaria Guett.",
 "Year 2024-2024"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000359-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7u7n8d
title: Occurrence Download

description: A dataset containing 447 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agriophyllum squarrosum (L.) Moq."
 ]
}

 The dataset includes 447 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000360-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17630/cafaccab-255c-4a0b-883c-a519f7b215b1
title: Fixed-Bed Adsorption of the Dye Chrysoidine R on Ordered Mesoporous Carbon (dataset)

description: Excel file containing data used to plot figures in paper
DOI: 10.15151/esrf-dc-2107037124
title: Self-supervised image restoration in coherent X-ray neuronal microscopy

description: Coherent X-ray microscopy is emerging as a transformative technology for neuronal imaging, with the potential to offer a scalable solution for reconstruction of neural circuits in millimeter sized tissue volumes. Specifically, X-ray holographic nanoto-mography (XNH) brings together outstanding capabilities in terms of contrast, spatial resolution and data acquisition speed. While recent XNH developments already enabled generating valuable datasets for neuro-sciences, a major challenge for reconstruction of neural circuits remained overcoming resolving power limits to distinguish smaller neurites and synapses in the reconstructed volumes. Here we present a self-supervised image restoration approach that simultaneously improves spatial resolution, contrast, and data acquisition speed. This enables revealing synapses with XNH, marking a major milestone in the quest for generating connectomes of full mammalian brains. We demonstrate that this method is effective for various types of neuronal tissues and acquisition schemes. We propose a scalable implementation compatible with multi-terabyte image volumes. Altogether, this work brings large-scale X-ray nanotomography to a new precision level.
DOI: 10.15468/dl.p9mnby
title: Occurrence Download

description: A dataset containing 4150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abies alba Mill.)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1900",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 4150 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000361-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g7pbhc
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Eloyella P.Ortiz"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000366-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17630/e4df6142-f1d5-4d59-bdc3-1bf0141cb276
title: Sequestration of an Azo Dye by a Potential Biosorbent: Characterization of Biosorbent, Adsorption Isotherm and Adsorption Kinetic Studies (dataset)

description: datasets used to plot figures in paper in Excel file
DOI: 10.15468/dl.35kswv
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trioxys tenuicaudus Stary, 1978",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000368-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fh7e96
title: Occurrence Download

description: A dataset containing 9354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Colombia",
 "TaxonKey is Trichocentrum Poepp. & Endl."
 ]
}

 The dataset includes 9354 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000362-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-dc-2107037132
title: Self-supervised image restoration in coherent X-ray neuronal microscopy

description: Coherent X-ray microscopy is emerging as a transformative technology for neuronal imaging, with the potential to offer a scalable solution for reconstruction of neural circuits in millimeter sized tissue volumes. Specifically, X-ray holographic nanoto-mography (XNH) brings together outstanding capabilities in terms of contrast, spatial resolution and data acquisition speed. While recent XNH developments already enabled generating valuable datasets for neuro-sciences, a major challenge for reconstruction of neural circuits remained overcoming resolving power limits to distinguish smaller neurites and synapses in the reconstructed volumes. Here we present a self-supervised image restoration approach that simultaneously improves spatial resolution, contrast, and data acquisition speed. This enables revealing synapses with XNH, marking a major milestone in the quest for generating connectomes of full mammalian brains. We demonstrate that this method is effective for various types of neuronal tissues and acquisition schemes. We propose a scalable implementation compatible with multi-terabyte image volumes. Altogether, this work brings large-scale X-ray nanotomography to a new precision level.
DOI: 10.5281/zenodo.14999889
title: Alzheimer's Tau seeds-induced Pathology Enhances Hippocampal Extracellular Diffusion
DOI: 10.5281/zenodo.14999890
title: Alzheimer's Tau seeds-induced Pathology Enhances Hippocampal Extracellular Diffusion
DOI: 10.15151/esrf-dc-2107037140
title: Self-supervised image restoration in coherent X-ray neuronal microscopy

description: Coherent X-ray microscopy is emerging as a transformative technology for neuronal imaging, with the potential to offer a scalable solution for reconstruction of neural circuits in millimeter sized tissue volumes. Specifically, X-ray holographic nanoto-mography (XNH) brings together outstanding capabilities in terms of contrast, spatial resolution and data acquisition speed. While recent XNH developments already enabled generating valuable datasets for neuro-sciences, a major challenge for reconstruction of neural circuits remained overcoming resolving power limits to distinguish smaller neurites and synapses in the reconstructed volumes. Here we present a self-supervised image restoration approach that simultaneously improves spatial resolution, contrast, and data acquisition speed. This enables revealing synapses with XNH, marking a major milestone in the quest for generating connectomes of full mammalian brains. We demonstrate that this method is effective for various types of neuronal tissues and acquisition schemes. We propose a scalable implementation compatible with multi-terabyte image volumes. Altogether, this work brings large-scale X-ray nanotomography to a new precision level.
DOI: 10.15468/dl.q377vf
title: Occurrence Download

description: A dataset containing 9387044 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9387044 records from 2706 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000307-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/45m4-j967
title: image 

description: The ORL and WarpPIE datasets consist of grayscale face images, with each sample representing a single individual captured under various lighting conditions, facial expressions, and occlusions. The COIL20 dataset contains grayscale images of 20 distinct objects, with each object represented by 72 images taken from different rotational perspectives. The MNIST and USPS datasets comprise handwritten digits ranging from 0 to 9.
DOI: 10.15151/esrf-es-2009539990
title: Structural analysis of the crystallization of ferroelectric BTO films prepared on Pt/Si from aqueous solution for selective deposition appl

description: Pt/Si is a substrate of interest for the selective deposition of oxides from aqueous solution due to it's compatibility with thiol-based SAMs for patterning. BTO
is a good example oxide because its deposition using aqueous CSD is well studied. Previous measurements performed at ESRF have indicated that the Pt/Si
substrate may stabilise unwanted oxycarbonate phases during the annealing of BTO. To optimise the deposition of BTO on Pt/Si, we will study the annealing
process in BTO films prepared by aqueous CSD, as well as the influence of the annealing process on the ferroelectric properties of the films. We will perform in
situ X-ray diffraction measurements during the pyrolysis and annealing process to investigate the nucleation, growth, and decomposition of crystal phases in the
film. Additionally, we will perform diffraction measurements on pre-prepared samples under an applied electric field to correlate the phase composition of the film
to the ferroelectric properties.
DOI: 10.15151/esrf-es-2009547894
title: Probing the N2 activation at the metal/LaN interface with N K edge RIXS

description: NH3 is one of the most important chemical products and is responsible for fertilizer production. NH3 synthesis from N2 is the current commercial process but suffers from the high activation barrier of N2, requiring 400-500 C and 150-300 bar operation conditions. Towards low temperature and pressure NH3 synthesis, we have developed LaN-based catalysts, in which the N vacancy (VN) activates N2 whereas metal particles split H2. Our previous energy dispersive RIXS at the N K edge discovered the surface N2 species via its vibrational modes. Here we will monitor the activation of the N2 among different LaN-supported catalysts by determining precise energy spacing between those vibrational modes. So far there is no method to directly probe the N2 activation process and we are the first. The success of this proposal will 1) provide insight into how N2 is activated at VN; and 2) establish a general method to probe surface N2 in NH3 synthesis.
DOI: 10.15468/dl.g82nhb
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample)",
 "Continent is Asia",
 "Country is China",
 "Geometry POLYGON((80 27,100 27,100 37,80 37,80 27))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Macaca mulatta (Zimmermann, 1780)"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001653-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28517222
title: coronal.stl

description: Isthmus model derived from Micro-CT parameters of maxillary first premolars, located in the coronal third of the root.
DOI: 10.6084/m9.figshare.28517222.v1
title: coronal.stl

description: Isthmus model derived from Micro-CT parameters of maxillary first premolars, located in the coronal third of the root.
DOI: 10.34740/kaggle/dsv/10886706
title: ⏳ endoflife.date database (duckdb)
DOI: 10.6084/m9.figshare.28517225
title: middle.stl

description: Isthmus model derived from Micro-CT parameters of maxillary first premolars, located in the middle third of the root.
DOI: 10.6084/m9.figshare.28517225.v1
title: middle.stl

description: Isthmus model derived from Micro-CT parameters of maxillary first premolars, located in the middle third of the root.
DOI: 10.15468/dl.uxhxdc
title: Occurrence Download

description: A dataset containing 481 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Digitonthophagus gazella (Fabricius, 1787)"
 ]
}

 The dataset includes 481 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001691-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n3nhtb
title: Occurrence Download

description: A dataset containing 570 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Copris laeviceps Harold, 1869"
 ]
}

 The dataset includes 570 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001655-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v96f3x
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Canthon indigaceus chiapas Robinson, 1948"
 ]
}

 The dataset includes 72 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001656-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jawjyw
title: Occurrence Download

description: A dataset containing 535853 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neuroptera"
 ]
}

 The dataset includes 535853 records from 2273 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001687-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1070118.10fu
title: SH1070118.10FU

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/sh1070123.10fu
title: SH1070123.10FU

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/sh1070124.10fu
title: SH1070124.10FU

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/sh1070127.10fu
title: SH1070127.10FU

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/sh1070131.10fu
title: SH1070131.10FU

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/sh1070135.10fu
title: SH1070135.10FU

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/sh1070136.10fu
title: SH1070136.10FU

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/sh1070137.10fu
title: SH1070137.10FU

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.