cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18738/t8/vh3qdi
title: Replication Data for: Strike-Slip Motion in the Himalaya: Implications for Collisional Dynamics

description: This dataset contains GIS data mapping and classifying documented lineaments and strike-slip faults within the Cenozoic Himalayan orogen. The mapped structures are grouped into three primary categories: (1) orogen-parallel or subparallel strike-slip faults; (2) cross-cutting or transverse lineaments oriented northwest-southeast and northeast-southwest; and (3) tear faults that intersect the active, range-bounding Main Frontal Thrust and define salient and recess boundaries. These features may represent reactivated or inherited structures that influence the current stress field, similar to other intraplate strike-slip systems.

Included in the dataset are shapefiles and geospatial attributes for each lineament or fault, with reference to original published sources. Preliminary spatial analysis indicates that earthquake epicenters (Mw ≥ 5) often occur at or near intersections of these lineaments with each other or with major Himalayan fault systems. For example, the Mw 7.8 Gorkha earthquake (25 April 2015, 06:11:25 UTC) occurred near the intersection of the Main Central Thrust (MCT) with either two unnamed lineaments (USGS catalog) or the Thaple lineament (NEIC catalog). Notably, its Mw 7.3 (12 May 2015, 07:05:19 UTC) and Mw 6.7 (26 April 2015, 07:09:10 UTC) aftershocks are located near the intersection of the MCT with the Gaurishankar lineament.

This dataset is intended to support ongoing efforts to refine structural models of Himalayan tectonics and should be considered in future seismic hazard assessments. All features are georeferenced and suitable for integration into ArcGIS or other GIS platforms.

This dataset was developed with support from the UT Libraries Map & Geospatial Collections Explorer (MGCE) Fellowship.
DOI: 10.15468/dl.yjbfnw
title: Occurrence Download

description: A dataset containing 1572 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Passer domesticus",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1572 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024861-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bggwwk
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024862-250717081556266/datasets/export for details.
DOI: 10.15468/dl.u32gr3
title: Occurrence Download

description: A dataset containing 2630 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((77.13957 13.61672,76.80646 12.85029,77.48782 12.37006,78.36602 12.49575,78.3206 13.61672,77.13957 13.61672))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Larvivora brunnea"
 ]
}

 The dataset includes 2630 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024864-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ufqwce
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melia azedarach",
 "Country is Honduras",
 "HasCoordinate is true"
 ]
}

 The dataset includes 38 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024863-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f2aga9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Ambystoma gracile)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024865-250717081556266/datasets/export for details.
DOI: 10.15468/dl.cz53jx
title: Occurrence Download

description: A dataset containing 61388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Geometry POLYGON((-120.25 30.96,-103.47 30.96,-103.47 37.33,-120.25 37.33,-120.25 30.96))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ochrophyta"
 ]
}

 The dataset includes 61388 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024756-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15644460
title: Delete: Incorrect upload

description: - Processed data products:



ASV_sequences.fasta: fasta sequences of all ASVs found in samples

ASV_table_Decontam_TrueSamples.rds: phyloseq object containing ASVs and their abundances in decontaminated, real (i.e. non-control) samples

asv_table.txt: raw data containing the ASVs and their abundances (before decontamination and subsetting) in samples

rooted_tree.nwk: phylogenetic tree of present taxa

sample_data.txt: mapping metadata to all samples (controls and non-controls)

taxonomy_tab.tsv: matching ASVs to their assigned taxonomy


- Supplementary materials
DOI: 10.5281/zenodo.15644461
title: Data products for Ha et al. 'Microbiome dynamics associated with the infection of grey field slugs by the biocontrol nematode Phasmarhabditis hermaphrodita'.

description: - Processed data products:



ASV_sequences.fasta: fasta sequences of all ASVs found in samples

ASV_table_Decontam_TrueSamples.rds: phyloseq object containing ASVs and their abundances in decontaminated, real (i.e. non-control) samples

asv_table.txt: raw data containing the ASVs and their abundances (before decontamination and subsetting) in samples

rooted_tree.nwk: phylogenetic tree of present taxa

sample_data.txt: mapping metadata to all samples (controls and non-controls)

taxonomy_tab.tsv: matching ASVs to their assigned taxonomy


- Supplementary materials
DOI: 10.15468/dl.kjtgtb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Ambystoma gracile)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024866-250717081556266/datasets/export for details.
DOI: 10.15468/dl.ywaafu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Ambystoma gracile)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024868-250717081556266/datasets/export for details.
DOI: 10.15468/dl.rvdsbz
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024867-250717081556266/datasets/export for details.
DOI: 10.15468/dl.2vtagm
title: Occurrence Download

description: A dataset containing 351 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ctenotus alacer"
 ]
}

 The dataset includes 351 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024869-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6bn3jn
title: Occurrence Download

description: A dataset containing 452 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asperula orientalis"
 ]
}

 The dataset includes 452 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024870-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0161950.10fu
title: SH0161950.10FU

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.b5wuak
title: Occurrence Download

description: A dataset containing 1027 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paulownia fortunei"
 ]
}

 The dataset includes 1027 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001068-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0161951.10fu
title: SH0161951.10FU

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/sh0161952.10fu
title: SH0161952.10FU

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/sh0161953.10fu
title: SH0161953.10FU

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/sh0161954.10fu
title: SH0161954.10FU

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/sh0161955.10fu
title: SH0161955.10FU

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/sh0161956.10fu
title: SH0161956.10FU

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: 10.5281/zenodo.18196187
title: STORMS Checklist for manuscript: Dynamic Gut Microbial and Metabolic Traits of Immunotherapy-based Total Neoadjuvant Therapy in Patients with Locally Advanced Rectal Cancer: A Prospective Longitudinal Study
DOI: 10.5281/zenodo.18196188
title: STORMS Checklist for manuscript: Dynamic Gut Microbial and Metabolic Traits of Immunotherapy-based Total Neoadjuvant Therapy in Patients with Locally Advanced Rectal Cancer: A Prospective Longitudinal Study
DOI: 10.15156/bio/sh0161957.10fu
title: SH0161957.10FU

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/sh0161958.10fu
title: SH0161958.10FU

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/sh0161959.10fu
title: SH0161959.10FU

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.