cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6069/g97d-wh27
title: Development and Validation of a Novel LC-MS/MS Based Proteomics Method for Quantitation of Retinol Binding Protein 4 (RBP4) and Transthyretin (TTR)

description: Retinol binding protein 4 (RBP4) is the plasma carrier of retinol that complexes with transthyretin (TTR).  A liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for simultaneous absolute quantitation of serum and plasma RBP4 and TTR is needed to advance the understanding of RBP4 and TTR as biomarkers.  Surrogate peptides with reproducible, linear LC-MS/MS response were selected for RBP4 and TTR quantitation. Purified proteins were used as quantitation standards and heavy labelled peptides as internal standards. Matrix effects were evaluated for quantitation. The method was validated using pooled human serum and applied to measure inter- and intra-individual variability in RBP4 and TTR concentrations in healthy individuals and in patients with diabetic kidney disease.
The assay inter-day variability was <12% and precision within 5%.  RBP4 and TTR quantitation correlated with commercially available ELISA assays.
DOI: 10.15468/dl.px7w6v
title: Occurrence Download

description: A dataset containing 403 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Piaractus brachypomus",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 403 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018292-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gw2deq
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Carruanthus peersii)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018294-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17205357
title: Data: Morphological and ecological predictors of migration in shorebirds (a phylogenetic perspective)

description: Migration is the synchronised movement of a large part of a population from breeding to non-breeding grounds driven by seasonal variation of resources and avoidance of harsh winter conditions. Migration is a central component of many species’ life histories, including birds, mammals, fishes, and invertebrates. However, the interplay of ecological and evolutionary drivers of migration has long intrigued biologists and remains contentious. Shorebirds represent a valuable group for testing multiple predictors of migration, as they demonstrate a range of morphological and ecological characteristics (e.g., wing shape and habitat breadth), and a large proportion of shorebird species migrate. Here we tested whether breeding site climate, wing shape, body mass, and number of habitats occupied can predict migration across 196 shorebird species using novel Bayesian regression modelling allowing explicit decomposition of trait correlations into both phylogenetic and non-phylogenetic components. Increasing climate seasonality and pointier wing shapes favouring dispersal appeared strongly associated with migration, matching our predictions and potentially reflecting resource availability optimisation and the energetic costs of migration. Higher number of habitats occupied also appeared associated with migration, perhaps reflecting selection to decrease the specific habitat requirements of migration transits. The lack of a significant relationship for body mass may reflect conflicting selection pressures, as migration efficiency (energetics) increases with body size but migration duration (and time that can be spent at breeding sites) decreases.
DOI: 10.5281/zenodo.16955664
title: Data: Morphological and ecological predictors of migration in shorebirds (a phylogenetic perspective)

description: Migration is the synchronised movement of a large part of a population from breeding to non-breeding grounds driven by seasonal variation of resources and avoidance of harsh winter conditions. Migration is a central component of many species’ life histories, including birds, mammals, fishes, and invertebrates. However, the interplay of ecological and evolutionary drivers of migration has long intrigued biologists and remains contentious. Shorebirds represent a valuable group for testing multiple predictors of migration, as they demonstrate a range of morphological and ecological characteristics (e.g., wing shape and habitat breadth), and a large proportion of shorebird species migrate. Here we tested whether breeding site climate, wing shape, body mass, and number of habitats occupied can predict migration across 196 shorebird species using novel Bayesian regression modelling allowing explicit decomposition of trait correlations into both phylogenetic and non-phylogenetic components. Increasing climate seasonality and pointier wing shapes favouring dispersal appeared strongly associated with migration, matching our predictions and potentially reflecting resource availability optimisation and the energetic costs of migration. Higher number of habitats occupied also appeared associated with migration, perhaps reflecting selection to decrease the specific habitat requirements of migration transits. The lack of a significant relationship for body mass may reflect conflicting selection pressures, as migration efficiency (energetics) increases with body size but migration duration (and time that can be spent at breeding sites) decreases.
DOI: 10.15468/dl.uuuypz
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Piaractus brachypomus",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018291-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b8j9y4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Piaractus brachypomus",
 "Country is Croatia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018293-250920141307145/datasets/export for details.
DOI: 10.5281/zenodo.17205360
title: Non-structural carbohydrates for pine species
DOI: 10.5281/zenodo.17205361
title: Non-structural carbohydrates for pine species
DOI: 10.15468/dl.q2xnjk
title: Occurrence Download

description: A dataset containing 306 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gelasimus borealis",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 306 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018295-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-es-2210529088
title: Austrian Crystallographic Diffraction Consortium

description: The Austrian Crystallographic Diffraction Consortium (ACDC) BAG aims at supporting several macromolecular structural biology groups across Austria (in total
20 research groups at 9 institutions in 4 cities). We employ mainly the technique of X-ray crystallography to characterize macromolecular biological complexes,
but also solution scattering approaches are frequently used to characterize dynamic assemblies. Approval of this BAG will be essential for researchers in all
our groups to carry out their structural studies on various health-related and basic research-oriented topics, which are targeted at characterizing large molecular
assemblies or proteins currently under-represented in the PDB, including membrane proteins. Corresponding high-resolution diffraction data are only obtainable
through the use of synchrotron radiation sources. Thus regular synchrotron access is highly desirable to maintain a competitive advantage in our individual
research fields
DOI: 10.15151/esrf-es-2216246431
title: The Netherlands BAG

description: The Netherlands BAG includes structural biology and enzymology groups situated at six Dutch universities (Amsterdam, Eindhoven, Groningen, Leiden, Utrecht and Wageningen) and at the Netherlands Cancer Institute in Amsterdam, with a total of fifteen PIs. While the structural biology research projects carried out in these groups are highly diverse, they can be largely classified into two major themes: (i) research on proteins and systems with a strong biomedical relevance and (ii) research concerning the design of new biocatalysts for green chemistry and new-to-nature reactions. Projects deal with prokaryotic and eukaryotic proteins, membrane and soluble proteins, cell surface receptors, and protein-protein, protein-ribonucleotide, protein-drug and enzyme-ligand complexes.
DOI: 10.15151/esrf-es-2250544613
title: Characterization of the microstructure of a modified solid-state electrolyte (LLZTO based).

description: We wish to characterize the microstructure of a LLZTO electrolye (solid) where the grains have been modified to have a shell that prevents dendrite propagation.
DOI: 10.15151/esrf-es-2225978249
title: Unveiling Crystal Structure Ordering in Kagome Materials

description: Kagome materials have emerged as an exciting platform for exploring strongly correlated electronic phenomena, topological phases, and unconventional charge ordering. While their average crystal structure is well understood, the subtle details of local atomic ordering, which play a crucial role in charge density wave (CDW) formation and other emergent phenomena, remain largely unexplored. In this study, we aim to investigate the evolution of atomic ordering in a series of isomorphic kagome compounds—YbCo6Ge6, YbFe6Ge6, ScNi6Ge6, and Ca-doped ScNi6Ge6—by employing high-resolution single-crystal and powder X-ray diffraction at BM01 (ESRF).
DOI: 10.15151/esrf-es-2225980871
title: Determination of sulfide saturation and sulfur redox state in the giant El Teniente porphyry Cu-(Mo) deposit, central Chile

description: Ensuring a sustainable supply of critical metals like Cu, Mo, Au and Re for the energy transition and their use in clean technologies requires an understanding of porphyry Cu-(Mo) deposits (PCDs). These deposits commonly form from water-rich oxidized magmas in subduction zones. However, timing of sulfide saturation —whether early or late— within these magmas remains a matter of debate. While early sulfide saturation was thought to deplete metals from the magma source, hindering PCD formation, new studies challenged this theory and show that early saturation can coexist with PCD formation. This proposal aims to use sulfur (S), as a tool to determine magma fertility that led to the formation of the giant El Teniente PCD (Chile) through sulfide saturation and sulfur redox state determination.
DOI: 10.15151/esrf-es-2238915045
title: Nanoscale X-ray Tomography of Earth Materials: Linking Microstructure Evolution to Bulk Hydro-Mechanical Behavior

description: This study quantifies the 3D microstructure of clay- and rock-forming materials and to directly link microstructural evolution to bulk properties. Using phase-contrast tomography at &lt;100 nm voxel size we will image platelet orientation, interlayer spacing proxies, pore-throat networks, and microcrack initiation/propagation for samples exposed to external factors (effective stress, suction/humidity, temperature, salinity). These results will be upscaled via homogenization and pore-network modeling to predict permeability, stiffness, and strength evolution. The outcome will be a validated microstructure–property map that explains how environmental and loading histories control macroscopic behavior in clays and representative rocks, informing models of subsurface storage, geo-hazards, and resource recovery.
DOI: 10.15468/dl.kx5ue5
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Cassine aethiopica)"
 ]
}

 The dataset includes 154 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018296-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2cfjkq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Piaractus brachypomus",
 "Country is Cuba",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018297-250920141307145/datasets/export for details.
DOI: 10.15468/dl.tkhazk
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Piaractus brachypomus",
 "Country is Indonesia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018298-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mz94kk
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Piaractus brachypomus",
 "Country is Malaysia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018299-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yg6uqp
title: Occurrence Download

description: A dataset containing 321 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ocypode ceratophthalmus",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 321 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018300-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.hxaalgnv
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (48 records)
DOI: 10.15468/dl.qfxsf4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Cassinia albida)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018302-250920141307145/datasets/export for details.
DOI: 10.15468/dl.k7uacz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Piaractus brachypomus",
 "Country is Panama",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018304-250920141307145/datasets/export for details.
DOI: 10.15468/dl.xuzta8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Piaractus brachypomus",
 "Country is Montenegro",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018303-250920141307145/datasets/export for details.
DOI: 10.15468/dl.na2zmm
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Piaractus brachypomus",
 "Country is Peru",
 "HasCoordinate is true"
 ]
}

 The dataset includes 25 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018305-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tgtynv
title: Occurrence Download

description: A dataset containing 505592 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Geometry POLYGON((0.31404 -17.98674,2.16417 -17.98674,2.16417 82.2286,0.31404 82.2286,0.31404 -17.98674))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cyanistes caeruleus"
 ]
}

 The dataset includes 505592 records from 1469 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018230-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h9m4cr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((75.256815 21.502342, 75.181333 21.496766, 75.107726 21.480175, 75.03782200000001 21.452982, 74.973355 21.415861, 74.915918 21.369735, 74.866929 21.315746, 74.827591 21.255231, 74.79886500000001 21.189688, 74.781446 21.120735, 74.77574799999999 21.050074, 74.78189399999999 20.979446, 74.799718 20.910588, 74.828765 20.845193, 74.868309 20.784864, 74.91736899999999 20.731082, 74.974735 20.685162, 75.038996 20.648229, 75.10857900000001 20.621184, 75.181781 20.604688, 75.256815 20.599144, 75.33184900000001 20.604688, 75.405051 20.621184, 75.47463399999999 20.648229, 75.538895 20.685162, 75.596261 20.731082, 75.645321 20.784864, 75.684865 20.845193, 75.71391199999999 20.910588, 75.731736 20.979446, 75.737882 21.050074, 75.732184 21.120735, 75.714765 21.189688, 75.68603899999999 21.255231, 75.64670099999999 21.315746, 75.597712 21.369735, 75.54027499999999 21.415861, 75.475808 21.452982, 75.40590400000001 21.480175, 75.332297 21.496766, 75.256815 21.502342))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001691-260108223611665/datasets/export for details.
DOI: 10.15156/bio/sh0180701.10fu
title: SH0180701.10FU

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/sh0180702.10fu
title: SH0180702.10FU

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/sh0180703.10fu
title: SH0180703.10FU

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.