cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.p8jssv
title: Occurrence Download

description: A dataset containing 313 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year 1000-2004",
 "TaxonKey is Epipedobates tricolor (Boulenger, 1899)"
 ]
}

 The dataset includes 313 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026211-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id46813.1
title: StrainInfo SI-ID 46813.1

description: StrainInfo dataset 46813 about a strain of Glutamicibacter protophormiae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id46814.1
title: StrainInfo SI-ID 46814.1

description: StrainInfo dataset 46814 about a strain of Unidentified. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id46815.1
title: StrainInfo SI-ID 46815.1

description: StrainInfo dataset 46815 about a strain of Kitasatospora aburaviensis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id46653.1
title: StrainInfo SI-ID 46653.1

description: StrainInfo dataset 46653 about a strain of Clostridium sporogenes. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id46654.1
title: StrainInfo SI-ID 46654.1

description: StrainInfo dataset 46654 about a strain of Mycobacterium fortuitum subsp. fortuitum. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id46655.1
title: StrainInfo SI-ID 46655.1

description: StrainInfo dataset 46655 about a strain of Acinetobacter. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id46656.1
title: StrainInfo SI-ID 46656.1

description: StrainInfo dataset 46656 about a strain of Synechococcus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id46725.1
title: StrainInfo SI-ID 46725.1

description: StrainInfo dataset 46725 about a strain of Actinosynnema pretiosum subsp. pretiosum. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id46726.1
title: StrainInfo SI-ID 46726.1

description: StrainInfo dataset 46726 about a strain of Streptomyces flaveus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id46727.1
title: StrainInfo SI-ID 46727.1

description: StrainInfo dataset 46727 about a strain of Neisseria gonorrhoeae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.kp6geq
title: Occurrence Download

description: A dataset containing 436 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Romerolagus diazi (Ferrari-Pérez, 1893)"
 ]
}

 The dataset includes 436 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0202045-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id46728.1
title: StrainInfo SI-ID 46728.1

description: StrainInfo dataset 46728 about a strain of Bacillus cereus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id46816.1
title: StrainInfo SI-ID 46816.1

description: StrainInfo dataset 46816 about a strain of Unidentified. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15151/esrf-es-2058710011
title: Understanding the rheology of rapeseed oil/water emulsions stabilized with pea protein

description: Modern food emulsions prepared entirely with plant-grown products are attracting increased market share as they offer routes to sustainable food supplies as well as healthy products. Applications include drinks and other products with various amounts of oil and stabiliser. Pea proteins are attractive for these applications as they provide for low allergenicity. Recent studies with scattering methods, confocal microscopy and rheological measurements have identified several interesting properties with large amounts of protein in the continuous water phase that cause complex flow behaviour with a yield stress and time dependent moduli. This proposal will investigate this behaviour with rheoSAXS measurements that should provide understanding and lead to improvements for materials where rheology is crucial both in processing and for ‘mouth feel’ when consumed.
DOI: 10.15151/esrf-es-2049623844
title: Phase stability, electronic and magnetic properties of FeO under Earth's core conditions

description: The aimed experiment focuses on exploring the phase stability, electronic and magnetic properties of Fe1-xO utilizing the Synchrotron Mössbauer Source spectroscopy and Single-Crystal X-ray diffraction up to 300 GPa and 6000 K to understand better the effect of iron oxides on the super Earth’s mantle.
DOI: 10.15151/esrf-es-1940868103
title: Microstructural Evolution of Additively Manufactured Ti-6Al-4V During Repeated Pulsed Heating

description: Metal additive manufacturing (AM) is a rapidly developing processing pathway that produces components by selective fusion of feedstock material to build a specified geometry. The process results in initial rapid solidification of the deposited material followed by many thermal cycles during deposition of subsequent material layers producing a high-energy, metastable microstructure. Ti alloys are attractive for AM because the process can reduce material waste and the high cost of machining. Post-build (ex-situ) microscopy has been used observe the effect of heating profile on the final microstructure of AM Ti64. We are proposing pulsed heating measurements on AM Ti64 to monitor the evolution of the high-energy, metastable microstructure of the material at rates relevant to AM in-situ. We will extract the evolving solute chemistry, phase fractions, dislocation density, and internal stress at data rates approaching 1kHz to aid in developing predictive process/structure relationships.
DOI: 10.15151/esrf-es-2049617513
title: ASAXS on flower-like micelles with iron core

description: An unbroken cold chain is crucial for health, impacting vaccines, medical products, and daily food. Effective management and cost-efficient monitoring are challenging. Polymer micelles, such as the pentablock copolymer (qPDMAEMA85-PEO130-PPO44-PEO130-qPDMAEMA85), can serve as inexpensive indicators of refrigeration breakdown. By deeply understanding the micellization of this non-equilibrium system, we aim to develop a system for temperature-dependent and irreversible colloidal aggregation, indicating temporary heating above a threshold temperature. We use a micellar system with iron species at the centre of a flower-like micelle, previously shown to undergo irreversible aggregation upon heating. However, the process is not fully understood. Introducing Prussian blue nanoparticles can influence this aggregation, inhibiting its irreversibility. We plan to perform ASAXS measurements to investigate the location and role of the iron species during these processes in detail.
DOI: 10.15468/dl.78e28j
title: Occurrence Download

description: A dataset containing 726 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lutjanus agennes Bleeker, 1863)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 726 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003883-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d52p7j
title: Occurrence Download

description: A dataset containing 782891 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tanacetum L."
 ]
}

 The dataset includes 782891 records from 2435 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003877-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18675157
title: Supplementary Files for Pore-Level QSAR on Aquaporins

description: These files include:1) the output files from PoreWalker tool used in the pore-level QSAR performed2) FASTA files with the sequences of the AQ(G)Ps analyzed3) Excel files with the AQ(G)Ps' pore z-coordinate and the per-residue Kyte–Doolittle hydrophobicity indexes and B-factor values4) an ad-hoc Python script  prepared to perform LASSO regression, statistical and y-scrambling analyses5) Excel files with the non-corrected and the corrected water permeability datasets6) the PDB files with the AlphaFold models for the set of AQPs used for external validation7) the output files from PoreWalker tool for the set of AQPs used for external validation8) A PDF file with the overview and calculations performed accross external validation9) Excel files with the data of B-factor-derived pore descriptors for the selectivity filter region, the pore z-coordinate trimming and the entire protein10) the Supplementary Information Table S5 including the resolution, experimental conditions and other relevant information related to crystallization of the AQ(G)Ps modeled
DOI: 10.5281/zenodo.13951638
title: Supplementary Files for Pore-Level QSAR on Aquaporins

description: These files include:1) the output files from PoreWalker tool used in the pore-level QSAR performed2) FASTA files with the sequences of the AQ(G)Ps analyzed3) Excel files with the AQ(G)Ps' pore z-coordinate and the per-residue Kyte–Doolittle hydrophobicity indexes and B-factor values4) an ad-hoc Python script  prepared to perform LASSO regression, statistical and y-scrambling analyses5) Excel files with the non-corrected and the corrected water permeability datasets6) the PDB files with the AlphaFold models for the set of AQPs used for external validation7) the output files from PoreWalker tool for the set of AQPs used for external validation8) A PDF file with the overview and calculations performed accross external validation9) Excel files with the data of B-factor-derived pore descriptors for the selectivity filter region, the pore z-coordinate trimming and the entire protein10) the Supplementary Information Table S5 including the resolution, experimental conditions and other relevant information related to crystallization of the AQ(G)Ps modeled
DOI: 10.15156/bio/sh1413324.10fu
title: SH1413324.10FU

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/sh1413325.10fu
title: SH1413325.10FU

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/sh1413327.10fu
title: SH1413327.10FU

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/sh1413329.10fu
title: SH1413329.10FU

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/sh1413330.10fu
title: SH1413330.10FU

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/sh1413331.10fu
title: SH1413331.10FU

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/sh1413332.10fu
title: SH1413332.10FU

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/sh1413339.10fu
title: SH1413339.10FU

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: 10.5517/cc77r5c
title: CCDC 215982: Experimental Crystal Structure Determination

description: Related Article: L.D.Henderson, G.D.MacInnis, W.E.Piers, M.Parvez|2004|Can.J.Chem.|82|162|doi:10.1139/v03-157
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc77r6d
title: CCDC 215983: Experimental Crystal Structure Determination

description: Related Article: L.D.Henderson, G.D.MacInnis, W.E.Piers, M.Parvez|2004|Can.J.Chem.|82|162|doi:10.1139/v03-157
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc76d60
title: CCDC 214681: Experimental Crystal Structure Determination

description: Related Article: J.P.Guthrie, R.T.Gallant, M.C.Jennings|2004|Can.J.Chem.|82|268|doi:10.1139/v03-204
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc77r7f
title: CCDC 215984: Experimental Crystal Structure Determination

description: Related Article: L.D.Henderson, G.D.MacInnis, W.E.Piers, M.Parvez|2004|Can.J.Chem.|82|162|doi:10.1139/v03-157
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.