cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.k2rm5n
title: Occurrence Download

description: A dataset containing 7599 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Scaphiopus holbrookii)"
 ]
}

 The dataset includes 7599 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016520-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.732pjy
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AAD6097"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016522-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b976kg
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016521-250711103210423/datasets/export for details.
DOI: 10.15468/dl.3mhdwy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Cimicifuga heracleifolia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016491-250711103210423/datasets/export for details.
DOI: 10.15468/dl.jycfbn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Cimicifuga dahurica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016493-250711103210423/datasets/export for details.
DOI: 10.15468/dl.3qh4tr
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cardamine gouldii"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016523-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j7pb9s
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eruca foleyi"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016524-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.unm4ss
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lantana camara",
 "Country is Trinidad and Tobago",
 "HasCoordinate is true"
 ]
}

 The dataset includes 77 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016525-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ue83z
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016526-250711103210423/datasets/export for details.
DOI: 10.15468/dl.byeuem
title: Occurrence Download

description: A dataset containing 1349 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Scaphiopus hurterii)"
 ]
}

 The dataset includes 1349 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016529-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tf6c8g
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cryptophyllium yunnanense"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016527-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/y6rb-fn24
title: SUSPENSE Spectra
DOI: 10.15468/dl.smxuea
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erophila macrosperma"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016530-250711103210423/datasets/export for details.
DOI: 10.15468/dl.jdjx82
title: Occurrence Download

description: A dataset containing 3631 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lythrurus bellus"
 ]
}

 The dataset includes 3631 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016531-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wj7xdc
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016532-250711103210423/datasets/export for details.
DOI: 10.15468/dl.jhktmb
title: Occurrence Download

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

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016533-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6hqv9f
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ricinus communis",
 "Country is Albania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016534-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7488/ds/7529
title: SUPERSEDED - Structure and composition of tritrophic communities associated with Fagaceae-feeding cynipid gallwasps in Sichuan, China

description: ## This item has been replaced by the one which can be found at https://doi.org/10.7488/ds/7756 ## A key question in the assembly of biological communities is the extent to which trophic links between higher trophic levels are structured by ‘bottom-up’ effects. Here we explore bottom-up host plant effects on the structure of communities of Fagaceae host plants, cynipid gall wasps and parasitoid natural enemies in western Sichuan, China. We use quantified interaction data to test the hypotheses that, relative to parasitoid-tree associations, links between cynipids and Fagaceae are (1) more specialised, resulting in (2) more modular networks and (3) stronger signatures of turnover than nestedness for plant-associated beta diversity. Because no Linnaean classification exists for this study system we developed a working taxonomy based on gall morphotypes and parasitoid morphospecies, supported by DNA barcoding of gall inducers. Rearing of nearly 43,000 cynipid gall specimens from 23 host plant species in Castanea, Castanopsis, Lithocarpus and four sections in the genus Quercus (Cerris, Cyclobalanopsis, Ilex and Quercus) yielded 176 morphologically distinct cynipid gall morphotypes. We reared over 4500 specimens of 64 parasitoid morphospecies in the families Braconidae, Cynipencyrtidae, Eulophidae, Eupelmidae, Eurytomidae, Megastigmidae, Ormyridae, Pteromalidae and Torymidae. Our predictions were confirmed. We highlight the challenges facing research on biodiverse communities with a substantial taxonomic impediment, and discuss our findings in light of the processes thought to structure tritrophic interactions centred on endophytic insect herbivores. We summarise compositional and structural parallels of our study communities with Fagaceae-associated cynipid communities elsewhere and avenues for future research.
DOI: 10.7488/ds/7756
title: Network structure and taxonomic composition of tritrophic communities of Fagaceae, cynipid gallwasps and parasitoids in Sichuan, China

description: A key question in insect community ecology is whether parasitoid assemblages are structured by the food plants of their herbivore hosts. Tritrophic communities centred on oak-feeding cynipid gallwasps are one of the best-studied tritrophic insect communities. Previous work suggests that host plant identity is a much stronger predictor of oak-cynipid interactions than of cynipid-parasitoid interactions. However, these relationships have not been formally quantified. We reason that the potential for ‘bottom-up’ effects should increase with host plant phylogenetic diversity. We therefore generated quantified interaction network data for previously unstudied tritrophic cynipid communities in Sichuan, China, where, in addition to Quercus, cynipid host plants include Castanea, Castanopsis and Lithocarpus. We characterise these communities taxonomically, and compare the extent to which host plant taxonomy predicts plant-herbivore and plant-parasitoid associations. We sampled 42,620 cynipid galls of 176 morphotypes from 23 host plant species, yielding over 4500 specimens of 64 parasitoid morphospecies. Many parasitoids were identifiable to chalcidoid taxa present in other Holarctic oak cynipid communities, with the addition of Cynipencyrtus (Cynipencyrtidae). As elsewhere, Sichuan parasitoid assemblages were dominated by generalists. Gallwasp-plant interaction networks were significantly more modular than parasitoid-plant association networks. Gallwasps were significantly more specialised to host plants (i.e. had higher mean d’ values) than parasitoids. Parasitoid assemblages nevertheless showed significant plant-associated beta diversity, with a dominant turnover component. We summarise parallels between our study and other Fagaceae-associated cynipid communities, and discuss our findings in light of the processes thought to structure tritrophic interactions centred on endophytic insect herbivores.
description: Readme.docx
DOI: 10.57830/2304538
title: Great Smoky Mountains National Park 1993-2023 Parkwide Water Quality Survey Data from the GRSM_WQ Project as of 2024-05-10

description: This data package was created 2024-06-20 17:32:23 by NPSTORET and includes selected project, location, and result data.

Data contained in the Great Smoky Mountains National Park NPSTORET back-end file (GRSM_NPSTORET_BE_20240510.ACCDB) were filtered to include:
Organization:
- GRSM: Great Smoky Mountains National Park
Project:
- GRSM_WQ: GRSM Parkwide Water Quality Survey
Station:
- Include Trip QC And All Station Visit Results
Value Status:
- Accepted or Certified (exported as Final) or Final

The data package is organized into five data tables:
- Projects.csv - describes the purpose and background of the monitoring efforts
- Locations.csv - documents the attributes of the monitoring locations/stations
- Results.csv - contains the field measurements, observations, and/or lab analyses for each sample/event/data grouping
- HUC12.csv - enumerates the domain of allowed values for 12-digit hydrologic unit codes utilized by the Locations datatable
- Characteristics.csv - enumerates the domain of characteristics available in NPSTORET to identify what was sampled, measured or observed in Results

Period of record for filtered data is 1993-10-01 to 2023-11-20.  This data package is a snapshot in time of one National Park Service project. The most current data for this project, which may be more or less extensive than that in this data package, can be found on the Water Quality Portal at:
https://www.waterqualitydata.us/data/Result/search?project=GRSM_WQ
DOI: 10.34740/kaggle/dsv/8794649
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.15468/dl.cnztfx
title: Occurrence Download

description: A dataset listing the 516 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Bouvet Island",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 516 records were derived from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000126-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/3gy1b8
title: GL 2023 sample dataset.xls

description: The dataset consists of metadata of 3,467 theses. The metadata (columns) includes information about the author, the jury (supervisor, other members), the institution (university, graduate school), the content (title, abstract, discipline, subject), the year and the accessibility (embargo, open access). The metadata fields are described on the platform data.gouv.fr at the following address: https://www.data.gouv.fr/fr/datasets/theses-soutenues-en-france-depuis-1985/ The theses (lines) have been selected as follows. We built up the sample in two stages: 1. The search for "sustainable development" or “développement durable” in all metadata, including title, abstract, subject indexing, and graduate school produced 2,326 theses. 2. Additional search for entry terms and related concepts of the preferred term “sustainable development” of the UNESCO thesaurus produced 1,141 other theses. The UNESCO Thesaurus is available at the following address: https://vocabularies.unesco.org/browser/thesaurus/en/
DOI: 10.57745/7w2xw9
title: ReadMe.txt

description: :unav
DOI: 10.57745/axbrot
title: GL 2023 sample dataset.csv

description: Data file in csv
DOI: 10.15468/dl.cxaphz
title: Occurrence Download

description: A dataset listing the 13858 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Botswana",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 13858 records were derived from 501 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000125-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h53q3a
title: Occurrence Download

description: A dataset listing the 11325 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Bosnia and Herzegovina",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 11325 records were derived from 567 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000124-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rr9fgm
title: Occurrence Download

description: A dataset containing 368 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Achillea cretica L."
 ]
}

 The dataset includes 368 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000132-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11126859
title: Microbiome-based biomarkers to guide personalized microbiome-based therapies for Parkinson's disease

description: Abstract: We address an unmet challenge in Parkinson’s disease: the lack of biomarkers to identify the right patients for the right therapy, which is a main reason clinical trials for disease modifying treatments have all failed. The gut microbiome is a new target for treatment of neurodegenerative diseases. Our aim was to develop microbiome-based biomarkers to guide patient selection for microbiome-based clinical trials. We used microbial taxa that are robustly associated with PD across studies and at high significance as dysbiotic features of PD.  Using individual-level taxonomic relative abundance data, we classified patients according to their dysbiotic features, effectively defining microbiome-based subtypes of PD.  We show that not all persons with PD have a dysbiotic microbiome, and not all dysbiotic PD microbiomes have the same features. Grounded in robust and reproducible data from differential abundance studies, we propose an intuitive and easily modifiable method to identify the optimal candidates for microbiome-based clinical trials, and subsequently, for treatments that are personalized for each individual’s dysbiotic features. We demonstrate the method for PD. The concept, and the method, is generalizable for any disease with a microbiome component.

Zenodo content: In this Zenodo archive we provide (a) the method described step by step, which can be implemented in Microsoft Excel (we used v.16.84 (RRID:SCR_016137) https://www.microsoft.com/en-gb/) or in R (we used v4.3.3 (RRID:SCR_001905) https://www.r-project.org/); and (b) data used to generate the results, tables and figures (except figure 2). Data for creating figure 2 can be found in source data (doi: 10.5281/zenodo.7246185) and the method is described by Wallen et al 2022 (DOI: 10.1038/s41467-022-34667-x). All data used here were extracted from the original source data reported by Wallen et. al. 2022 (DOI: 10.1038/s41467-022-34667-x) which can be found on Zenodo (DOI: 10.5281/zenodo.7246185).
description: This work was supported by The Strain Endowed Chair in Parkinson's Disease to the University of Alabama at Birmingham (HP) and Aligning Science Across Parkinson’s [ASAP-020527] through the Michael J. Fox Foundation for Parkinson’s Research (MJFF) . For the purpose of open access, the authors have applied a CC BY public copyright license to all Author Accepted Manuscripts arising from this submission. Opinions, interpretations, conclusions, and recommendations are those of the authors and are not necessarily endorsed by the funding agencies.
DOI: 10.5281/zenodo.11126860
title: Microbiome-based biomarkers to guide personalized microbiome-based therapies for Parkinson's disease

description: Abstract: We address an unmet challenge in Parkinson’s disease: the lack of biomarkers to identify the right patients for the right therapy, which is a main reason clinical trials for disease modifying treatments have all failed. The gut microbiome is a new target for treatment of neurodegenerative diseases. Our aim was to develop microbiome-based biomarkers to guide patient selection for microbiome-based clinical trials. We used microbial taxa that are robustly associated with PD across studies and at high significance as dysbiotic features of PD.  Using individual-level taxonomic relative abundance data, we classified patients according to their dysbiotic features, effectively defining microbiome-based subtypes of PD.  We show that not all persons with PD have a dysbiotic microbiome, and not all dysbiotic PD microbiomes have the same features. Grounded in robust and reproducible data from differential abundance studies, we propose an intuitive and easily modifiable method to identify the optimal candidates for microbiome-based clinical trials, and subsequently, for treatments that are personalized for each individual’s dysbiotic features. We demonstrate the method for PD. The concept, and the method, is generalizable for any disease with a microbiome component.

Zenodo content: In this Zenodo archive we provide (a) the method described step by step, which can be implemented in Microsoft Excel (we used v.16.84 (RRID:SCR_016137) https://www.microsoft.com/en-gb/) or in R (we used v4.3.3 (RRID:SCR_001905) https://www.r-project.org/); and (b) data used to generate the results, tables and figures (except figure 2). Data for creating figure 2 can be found in source data (doi: 10.5281/zenodo.7246185) and the method is described by Wallen et al 2022 (DOI: 10.1038/s41467-022-34667-x). All data used here were extracted from the original source data reported by Wallen et. al. 2022 (DOI: 10.1038/s41467-022-34667-x) which can be found on Zenodo (DOI: 10.5281/zenodo.7246185).
description: This work was supported by The Strain Endowed Chair in Parkinson's Disease to the University of Alabama at Birmingham (HP) and Aligning Science Across Parkinson’s [ASAP-020527] through the Michael J. Fox Foundation for Parkinson’s Research (MJFF) . For the purpose of open access, the authors have applied a CC BY public copyright license to all Author Accepted Manuscripts arising from this submission. Opinions, interpretations, conclusions, and recommendations are those of the authors and are not necessarily endorsed by the funding agencies.
DOI: 10.15468/dl.shcgez
title: Occurrence Download

description: A dataset containing 2182 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Brazil, Ecuador, Colombia, Venezuela (Bolivarian Republic of), Peru, Argentina, Bolivia (Plurinational State of))",
 "Geometry POLYGON((-72.34502 11.3713,-80.18729 2.35268,-80.97152 -5.88171,-75.08981 -13.72399,-68.42388 -21.95838,-69.60022 -32.93757,-53.13143 -34.11391,-46.85761 -23.91895,-42.15225 -22.74261,-40.19168 -17.25301,-35.87842 -7.05805,-38.23111 -2.7448,-48.42607 -1.56846,-51.17087 4.70537,-60.97371 9.80285,-72.34502 11.3713))",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Lissachatina fulica (Bowdich, 1822)",
 "Year 2000-2024"
 ]
}

 The dataset includes 2182 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000134-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/01376
title: Chandra X-ray Observatory ObsId 01376
DOI: 10.15468/dl.42an93
title: Occurrence Download

description: A dataset containing 14748 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Duke University Herbarium Fungal Collection"
 ]
}

 The dataset includes 14748 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000135-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.