cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0139428.10fu
title: SH0139428.10FU

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: 10.13145/bacdive151690.20241212.9.2
title: Salmonella enterica

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive151690.20251217.10
title: Salmonella enterica

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0139429.10fu
title: SH0139429.10FU

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: 10.13145/bacdive151691.20241212.9.2
title: Corynebacterium amycolatum

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive151691.20251217.10
title: Corynebacterium amycolatum

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive151692.20241212.9.2
title: Veillonella parvula

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0139430.10fu
title: SH0139430.10FU

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: 10.13145/bacdive151692.20251217.10
title: Veillonella parvula

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0139431.10fu
title: SH0139431.10FU

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: 10.13145/bacdive151693.20241212.9.2
title: Streptococcus infantis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive151693.20251217.10
title: Streptococcus infantis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5281/zenodo.15150210
title: mtDNA-network data - Parkinson's Disease
title: mtDNA sequencing

description: mtDNA INDELs modulates neuroinflammation in Parkinson’s Diseases

Gustavo Barra Matos1, Camille Sena dos Santos1, Letícia Cota Cavaleiro de Macêdo1,2, Juliana Paiva dos Santos Diniz1,2, Tatiane Piedade de Sousa1, Giovanna C. Cavalcante1, Caio Santos Silva1, Rebecca Lais da Silva Cruz1, Dafne Dalledone Moura2, Andrea Ribeiro-dos-Santos1, Bruno Lopes Santos-Lobato2, Gilderlanio Santana de Araújo1 

Author affiliations:

1 Laboratório de Genética Humana e Médica, Federal University of Pará, 66075-110, Belém, Pará, Brazil   

2 Institute of Technology, Federal University of Pará, 66075-110, Belém, Pará, Brazil.  

3 Laboratory of Experimental Neuropathology, Federal University of Pará, 66073-005, Belém, Pará, Brazil.

Correspondence to: Gilderlanio Santana de Araújo 

Full address 

E-mail: gilderlanio@ufpa.br

Abstract







Our research studies explored the link between mitochondrial DNA (mtDNA) changes and Parkinson’s disease (PD), particularly in patients who develop levodopa-induced dyskinesia (LID). We sequenced blood samples from 87 individuals in the Brazilian Amazon, including PD patients (with and without LID) and healthy controls. We found that PD patients without LID had more mtDNA mutations, especially in a key mitochondrial region (Complex I). These mutations were linked to lower activity in certain genes (ND4 and ND5), which may contribute to PD progression.
DOI: 10.5281/zenodo.15150211
title: mtDNA-network data - Parkinson's Disease
title: mtDNA sequencing

description: mtDNA INDELs modulates neuroinflammation in Parkinson’s Diseases

Gustavo Barra Matos1, Camille Sena dos Santos1, Letícia Cota Cavaleiro de Macêdo1,2, Juliana Paiva dos Santos Diniz1,2, Tatiane Piedade de Sousa1, Giovanna C. Cavalcante1, Caio Santos Silva1, Rebecca Lais da Silva Cruz1, Dafne Dalledone Moura2, Andrea Ribeiro-dos-Santos1, Bruno Lopes Santos-Lobato2, Gilderlanio Santana de Araújo1 

Author affiliations:

1 Laboratório de Genética Humana e Médica, Federal University of Pará, 66075-110, Belém, Pará, Brazil   

2 Institute of Technology, Federal University of Pará, 66075-110, Belém, Pará, Brazil.  

3 Laboratory of Experimental Neuropathology, Federal University of Pará, 66073-005, Belém, Pará, Brazil.

Correspondence to: Gilderlanio Santana de Araújo 

Full address 

E-mail: gilderlanio@ufpa.br

Abstract







Our research studies explored the link between mitochondrial DNA (mtDNA) changes and Parkinson’s disease (PD), particularly in patients who develop levodopa-induced dyskinesia (LID). We sequenced blood samples from 87 individuals in the Brazilian Amazon, including PD patients (with and without LID) and healthy controls. We found that PD patients without LID had more mtDNA mutations, especially in a key mitochondrial region (Complex I). These mutations were linked to lower activity in certain genes (ND4 and ND5), which may contribute to PD progression.
DOI: 10.15468/dl.2z8544
title: Occurrence Download

description: A dataset containing 4653 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Margaritaria discoidea (Baill.) G.L.Webster",
 "Continent is Africa"
 ]
}

 The dataset includes 4653 records from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004741-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fpyy2m
title: Occurrence Download

description: A dataset containing 960 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "Geometry POLYGON((6.15962 51.5554,5.75462 51.54838,5.74897 51.31083,6.14551 51.31701,6.21324 51.36549,6.15962 51.5554))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Limnephilidae",
 "Year 2022-2024"
 ]
}

 The dataset includes 960 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005823-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/1x9g-6198
title: Parkes observations for project P885 semester 2024OCTS_15

description: We propose a reduced even more modest program to continue monitoring 4 of the 6 known radio magnetars, tracking their rotational, flux density, and polarisation properties. The rotational response of 1E 1547.0-5408 to its 2022 'hiccup' in radiative properties is still developing, requiring frequent observations every ~10 days. The cadence and request for Swift J1818.0-1607 is reduced, commensurate with its decreased activity/flux. Observations of XTE J1810-197, and PSR J1622-4950 which ceased emission in 2022, remain at reduced levels. The overall request is 13.5 hours.
DOI: 10.5281/zenodo.15103431
title: Enhancing Food Inflation Rate Forecasting with a Hybrid ARIMA-XGBoost-SVR Model

description: The data are monthly food inflation rates of six African countries: Nigeria, South Africa, Cape Verde, Morocco, Botswana, and Libya from January 2010 to December 2024.
DOI: 10.5281/zenodo.15103432
title: Enhancing Food Inflation Rate Forecasting with a Hybrid ARIMA-XGBoost-SVR Model

description: The data are monthly food inflation rates of six African countries: Nigeria, South Africa, Cape Verde, Morocco, Botswana, and Libya from January 2010 to December 2024.
DOI: 10.15468/dl.3qxd98
title: Occurrence Download

description: A dataset containing 3130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "Geometry POLYGON((6.13569 51.57285,5.79805 51.55957,5.72824 51.30911,6.13712 51.31179,6.20835 51.36608,6.17986 51.44428,6.20265 51.47979,6.13569 51.57285))",
 "OccurrenceStatus is Present",
 "TaxonKey is Trichoptera",
 "Year 2022-2024"
 ]
}

 The dataset includes 3130 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005824-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13623653
title: Input Dataset for "Determining Reseach Priorities Using Machine Learning" Paper

description: Input dataset. Used by LDA and other scripts to create the result dataset. Journal data harvested from ADS in 2020 (so it will be different if again harvested in present day given that new papers are being added for various years by ADS staff).
DOI: 10.5281/zenodo.13623751
title: Result dataset for the paper "Determining Research Priorities Using Machine Learning"

description: The dataset needed by the paper software to run the notebooks.
DOI: 10.15468/dl.7knex2
title: Occurrence Download

description: A dataset containing 583 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "Geometry POLYGON((6.14222 51.56596,5.77522 51.55344,5.75219 51.31927,6.14366 51.31387,6.2113 51.36871,6.14222 51.56596))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ephemeroptera",
 "Year 2022-2024"
 ]
}

 The dataset includes 583 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005825-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ekrxz
title: Occurrence Download

description: A dataset containing 3399743 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Plantae)",
 "Country is New Zealand",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 0"
 ]
}

 The dataset includes 3399743 records from 387 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005813-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.88dsk6
title: Occurrence Download

description: A dataset containing 1443 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "OccurrenceStatus is Present",
 "TaxonKey is Nematocera Meigen, 1818"
 ]
}

 The dataset includes 1443 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005826-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ww36g
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Passiflora jatunsachensis Schwerdtf."
 ]
}

 The dataset includes 22 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005827-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15103501
title: assembly_ordenado_v6_others_v5_atualizado
DOI: 10.5281/zenodo.15103500
title: assembly_ordenado_v6_others_v5_atualizado
DOI: 10.5281/zenodo.15103551
title: assembly_ordenado_v6_others_v5_atualizado
DOI: 10.15468/dl.tc4tbr
title: Occurrence Download

description: A dataset containing 7221 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "CoordinateUncertaintyInMeters 0.0-51.0",
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "TaxonKey is Solenopsis invicta Buren, 1972"
 ]
}

 The dataset includes 7221 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005829-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ehj7p
title: Occurrence Download

description: A dataset containing 14905 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "Geometry POLYGON((6.15756 51.5457,5.88025 51.5457,5.76622 51.34055,5.81028 51.32436,6.15238 51.32922,6.2081 51.37373,6.19125 51.40931,6.2068 51.47796,6.15756 51.5457))",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Heteroptera Macquart, 1835, Diptera)",
 "Year 2022-2024"
 ]
}

 The dataset includes 14905 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005831-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57830/2304999
title: Northern Spotted Owl Monitoring for the San Francisco Bay Area Inventory and Monitoring Network: 1998-2023 – Data Package

description: The northern spotted owl (NSO) has been listed as a federally threatened species since 1990, and the National Park Service (NPS) and partners began regular long-term monitoring in 1999 after conducting inventories in 1997 and 1998. Northern spotted owls inhabit forested regions from southern British Columbia through Washington, Oregon, and northwestern California, where Marin County is the southern limit of their range. NSOs face a variety of threats in Marin County including loss of habitat due to development and catastrophic fire, displacement by barred owls (Strix varia), change in habitat due to Sudden Oak Death, human disturbances during the breeding season, and mortality due to West Nile Virus. Although NSOs are typically found in old growth forests, in Marin County they reside in second growth Douglas-fir (Pseudotsuga menziesii), coast redwood (Sequoia sempervirens), bishop pine (Pinus muricata), mixed conifer-hardwood, mixed evergreen hardwood forests, as well as remnant old-growth stands of coast redwood and Douglas-fir. The primary food source for the NSO is the dusky-footed woodrat (Neotoma fuscipes). The Marin County population of spotted owls is of interest because of its isolation from other populations, high density and fecundity, and because they have been minimally impacted by barred owl range expansion. The goals of the northern spotted owl NPS San Francisco Bay Area Network (SFAN) monitoring program are to estimate trends in spotted owl occupancy and fecundity within the NPS legislative boundaries in Marin County.
DOI: 10.15468/dl.hkbmmv
title: Occurrence Download

description: A dataset containing 34724 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Daphnia O.F.Müller, 1785"
 ]
}

 The dataset includes 34724 records from 352 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005832-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mqtv7y
title: Occurrence Download

description: A dataset containing 117870 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "Geometry POLYGON((-11.36435 35.55364,-6.22589 35.79882,-4.39018 36.03215,8.84152 38.2089,16.5649 34.83439,20.06851 40.18237,14.97087 43.27971,13.39512 44.97612,14.17315 48.28182,14.28711 51.56867,7.33548 52.9634,-7.77473 51.74365,-9.98851 45.77258,-9.94764 41.32123,-11.36435 37.21431,-11.36435 35.55364))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Barbitistes Charpentier, 1825, Metaplastes Ramme, 1939, Leptophyes Fieber, 1853, Poecilimon Fischer, 1853)",
 "Year 2000-2025"
 ]
}

 The dataset includes 117870 records from 891 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005828-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ceup7w
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Xanthium chinense Mill."
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006442-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1178724.10fu
title: SH1178724.10FU

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/sh1178725.10fu
title: SH1178725.10FU

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.