cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0178871.10fu
title: SH0178871.10FU

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/sh0178872.10fu
title: SH0178872.10FU

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/sh0178873.10fu
title: SH0178873.10FU

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/sh0178874.10fu
title: SH0178874.10FU

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/sh0178875.10fu
title: SH0178875.10FU

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/sh0178876.10fu
title: SH0178876.10FU

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.a3ba3a
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Frithia pulchra N.E.Br."
 ]
}

 The dataset includes 83 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001940-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d2pewr
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((131.9702 47.21705, 132.1024 47.21705, 132.1024 47.30128, 131.9702 47.30128, 131.9702 47.21705))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001941-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fmm4hb
title: Occurrence Download

description: A dataset containing 44960 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (MHA Herbarium: collections of vascular plants, TULGU Herbarium: Tula Oblast collections of vascular plants, TUL Herbarium: Tula Oblast collections of vascular plants, IRKU Herbarium: collections of vascular plants, MAG Herbarium: collections of vascular plants, KUZ Herbarium: collections of vascular plants, KULPOL Herbarium: Tula Oblast collections of vascular plants, TKM Herbarium: Tula Oblast collections of vascular plants, Moscow University Herbarium (MW))",
 "IsInCluster is true"
 ]
}

 The dataset includes 44960 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001939-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13994396
title: RNA-Seq analysis of rice spikelets.

description: R source code and input data used for RNA-Seq analysis of rice spikelets.
DOI: 10.5281/zenodo.13994397
title: RNA-Seq analysis of rice spikelets.

description: R source code and input data used for RNA-Seq analysis of rice spikelets.
DOI: 10.15468/dl.5grt2d
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((121.9535 39.58536, 122.0455 39.58536, 122.0455 39.65678, 121.9535 39.65678, 121.9535 39.58536))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001942-241106120511685/datasets/export for details.
DOI: 10.15468/dl.2aqhpw
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gladiolus robertsoniae F.Bolus"
 ]
}

 The dataset includes 39 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001943-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dzqgcc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((131.0883 46.58221, 131.2255 46.58221, 131.2255 46.66608, 131.0883 46.66608, 131.0883 46.58221))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001945-241106120511685/datasets/export for details.
DOI: 10.15468/dl.krdkes
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Habenaria barbertoni Kraenzl. & Schltr."
 ]
}

 The dataset includes 21 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001946-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ub6mry
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gnaphalium nelsonii Burtt Davy"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001947-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kt3khs
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Habenaria bicolor Conrath & Kraenzl."
 ]
}

 The dataset includes 20 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001948-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s4hwjr
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((118.9576 36.583, 119.2518 36.583, 119.2518 36.79406, 118.9576 36.79406, 118.9576 36.583))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 149 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001949-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.esvpth
title: Occurrence Download

description: A dataset containing 164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Hermetia illucens (Linnaeus, 1758)"
 ]
}

 The dataset includes 164 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001950-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c7m6zv
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Habenaria kraenzliniana Schltr."
 ]
}

 The dataset includes 46 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001951-241106120511685/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-1773242391
title: NORWAY BAG

description: The fourteen PIs associated to this proposal represent the entire crystallography community in Norway and are affiliated to the major Norwegian universities. The research interests of the PIs and their collaborators revolves around topics linked to structural biology and material sciences.

We apply for beam time for single- and multi-wavelength MX, Bio-SAXS and Cryo-EM, in support of our research projects funded e.g. by the Research Council of Norway and the ERC. Examples of research projects or topics are carbohydrate-active proteins of medical or bioeconomic relevance, inhibition of DNA repair enzymes, metalloprotein function and catalysis, regulation of cell-cycle processes, enzyme discovery, antibiotic resistance/drug-discovery and neurological diseases.

Our overarching aim is to use bright synchrotron sources to produce high quality science.
DOI: 10.15151/esrf-es-1896679693
title: Structure of metalloproteins, membrane proteins, filamentous sarcomer proteins, and virus particles

description: Our work focusses on biological nitrogen fixation by Nitrogenase, on metalloenzymes and integral membrane proteins of bacterial and archaeal respiratory systems (Andrade/Einsle/Wohlwend), the working mechanism and regulation of medically relevant membrane proteins and complexes and their defects leading to pathologies (Hunte/Wirth), bacterial antibiotic resistance factors and viral and bacterial proteins bound to their targets or inhibitors, and their interactions with glycans (Stehle/Zocher), human S100 proteins involved in nutritional immunity, USP18 enforcing the endogenous antiviral interferon response, and the respiratory complex NQR of V. cholerae (Fritz), DNA Polymerases with artificial substrates (Betz), and on multi-domain components of the sarcomeric filamentous protein titin and their binding to the E3 ubiquitin ligase MuRF1 and the central myosin rod-domain (Mayans).
DOI: 10.15151/esrf-es-1897126316
title: Structural biology at Umeå University

description: The BAG consists out of 7 groups that are heavily involved in macromolecular crystallography, as well as other structural biology techniques, at Umeå University, Sweden. We work on a diverse set of biological questions, ranging from understanding the structure and function of Gram-positive Type 4 Secretion Systems, mobile genetic elements in Staphylococcus aureus, DNA and RNA polymerases, effector protein in Type 6 Secretion Systems and transcriptional regulators.
DOI: 10.15151/esrf-es-1904519774
title: Structural studies of redox Nickel enzymes and nickel proteins

description: We are interested in the study of structure/function relationships of nickel enzymes, nickel proteins and nickel protein-based artificial metalloenzymes. Our objectives
are the structural characterization of our artificial metalloenzymes as well as the trapping of reaction intermediates. We are alos interested in the biosynthesis of
carbon monoxide dehydrogenase (CODH), a nickel enzyme with a complex multimetallic active site. We aim at the determination of the crystal structure of CODH
and its nickel chaperones CooJ, CooT and CooC, involved in nickel insertion into CODH.
DOI: 10.15151/esrf-es-1901512778
title: Search for Planetary Relevant Salty Ice: Establishing the Structure of Expanded Salty NaCl Ice VII

description: The recent discovery of salt-filled ices has shown that ice can incorporate large amounts of salt into its crystalline structure under high pressure. From neutron diffraction data, it was shown that Li+ ions occupy interstitial void positions within the ice VII lattice, whilst the Cl- ions substitutionally take the place of the water molecules. This gives rise to remarkable changes in properties of the ice VII structure such as an expanded lattice volume, orientational disorder, high ionic conductivity and suppression of phase transition to proton ordered phases, which could have strong consequences on the modelling of the interiors of icy planets. However, the structure and phase diagram of the more astrophysically relevant NaCl-filled ice has not yet been explored. In this proposal, we aim to study the structure and phase diagram of NaCl-filled ice VII under the p-T conditions relevant for the interior of icy bodies in our Solar system.
DOI: 10.15151/esrf-es-1956842391
title: Study of different metals after nitriding or mechanical deformation

description: In order to understand the mechanism and kinetics of iron ore reduction with ammonia, we will investigate a number of iron foils nitrided with and without prior oxidation. Further we will investigate mechanically thinned FeCrMnNi pieces to understand the structural changed induced by the rolling process.
DOI: 10.15468/dl.cbu8r5
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Habenaria mossii (G.Will.) J.C.Manning"
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001952-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.67x6rf
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((117.2028 34.73649, 117.3423 34.73649, 117.3423 34.83236, 117.2028 34.83236, 117.2028 34.73649))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001953-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d93fhp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((111.9346 27.69597, 112.053 27.69597, 112.053 27.78069, 111.9346 27.78069, 111.9346 27.69597))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001954-241106120511685/datasets/export for details.
DOI: 10.5281/zenodo.14000501
title: BioTISR: Mitochondria (3D)

description: 3D Mitochondria data of BioTISR dataset.

BioTISR is a biological image dataset for super-resolution microscopy, currently including 2D and 3D time-lapse image pairs of low-and-high resolution images of a variety of biology structures, aiming to provide a high-quality dataset of time-lapse biological SR images for the community to spark more developments of computational SR methods.

At present, 2D dataset includes five specimens (clathrin-coated pits, lysosomes, outer mitochondrial membrane, microtubules, and F-actin) acquired with the GI/TIRF-SIM mode and nonlinear SIM mode of our Multi-SIM system, and 3D data includes three specimens (outer mitochondrial membrane, microtubules, and F-actin) acquired with 3D-SIM mode of the Multi-SIM system. For each type of specimen and each imaging modality, we acquired the raw data from at least 50 distinct regions-of-interest (ROI). For each ROI, we acquired two (3D data) or three (2D data) groups of N-phase × M-orientation × T-timepoint raw images with a constant exposure time but increasing the excitation light intensity, where (N, M, T) are (3, 3, 20) for TIRF-SIM and GI-SIM, (5, 5, 10) for nonlinear SIM, and (3, 5, 10) for 3D-SIM.

The BioTISR dataset is related to the following paper:Chang Qiao, Shuran Liu, Yuwang Wang, Wencong Xu, et al. "Time-lapse Image Super-resolution Neural Network with Reliable Confidence Evaluation for Optical Microscopy." bioRxiv 2024.05.04.592503 (2024), which is an extension of our previously published BioSR dataset (https://www.nature.com/articles/s41592-020-01048-5).