cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1168672.10fu
title: SH1168672.10FU

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/sh1168675.10fu
title: SH1168675.10FU

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/sh1168676.10fu
title: SH1168676.10FU

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/dd.fb97ym
title: Distribution records of Centrobranchus nigroocellatus

description: These records of Centrobranchus nigroocellatus were downloaded from GBIF on 2019-09-11.
DOI: 10.15468/dl.2sy3xe
title: Occurrence Download

description: A dataset containing 3308 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-66.84317 10.47274,-66.84568 10.47165,-66.84732 10.47142,-66.84843 10.47142,-66.84989 10.47075,-66.85039 10.47058,-66.85065 10.4694,-66.85059 10.46837,-66.84963 10.46817,-66.8479 10.4688,-66.84653 10.46889,-66.84557 10.46874,-66.8439 10.46889,-66.84267 10.46909,-66.84223 10.46966,-66.8418 10.46983,-66.84185 10.47078,-66.84206 10.47199,-66.84247 10.47265,-66.84317 10.47274))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3308 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004352-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.putnn9
title: Occurrence Download

description: A dataset containing 2030 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anomaluridae"
 ]
}

 The dataset includes 2030 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004353-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kbzynt
title: Occurrence Download

description: A dataset containing 129 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erythranthe glabrata (Kunth) G.L.Nesom",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 129 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0165603-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kesap3
title: Occurrence Download

description: A dataset containing 22841 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Passiflora foetida L."
 ]
}

 The dataset includes 22841 records from 437 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005331-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.89benu
title: Occurrence Download

description: A dataset containing 2746 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Adansonia digitata L."
 ]
}

 The dataset includes 2746 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023412-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6swfqs
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lycopodiella subappressa J.G.Bruce, W.H.Wagner & Beitel",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 37 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0176053-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.engo7f
title: Occurrence Download

description: A dataset containing 3131 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is AlgaTerra"
 ]
}

 The dataset includes 3131 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023413-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8cyfe7
title: Occurrence Download

description: A dataset containing 7545 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Observation"
 ]
 },
 "TaxonKey is Giraffa Brisson, 1762"
 ]
}

 The dataset includes 7545 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0182578-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b7crh0
title: Occurrence Download

description: A dataset containing 11937 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thamnophilus bridgesi P.L.Sclater, 1856"
 ]
}

 The dataset includes 11937 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023414-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zdmwyc
title: Occurrence Download

description: A dataset containing 64891 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Belgium",
 "Country is France",
 "Country is Spain",
 "Country is Andorra",
 "Country is Portugal",
 "Country is Switzerland",
 "Country is Italy"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Chorthippus Fieber, 1852",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 64891 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023415-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m4zqe5
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pluchea odorata var. succulenta (Fernald) Cronquist)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 137 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048017-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n7m5xs
title: Occurrence Download

description: A dataset containing 778 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Racomitrium canescens (Hedw.) Brid.",
 "MediaType is Image",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 778 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0409031-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nb4b25
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elsinoe mangiferae Bitanc. & Jenkins"
 ]
}

 The dataset includes 100 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048018-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.urutoi
title: Occurrence Download

description: A dataset containing 13198 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is MBML-Peixes - Coleção de Peixes"
 ]
}

 The dataset includes 13198 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023415-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zxn8vt
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pedicularis flammea L.",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 107 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0165571-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qz29ch
title: Occurrence Download

description: A dataset containing 300469 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amaranthus L."
 ]
}

 The dataset includes 300469 records from 1010 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0151959-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pyst7j
title: Occurrence Download

description: A dataset containing 304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cynodon plectostachyus (K.Schum.) Pilg.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 304 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013648-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sra4bv
title: Occurrence Download

description: A dataset containing 340364 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is NatureMapr"
 ]
}

 The dataset includes 340364 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061657-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25976/ehg2-ac02
title: ACAP Saint John: Nutrients in the lower Wolastoq watershed

description: This data has been generated by both in-field monitoring probes and laboratory analyses of water samples at Research Productivity Council (surface water quality package) in Fredericton. The overarching goal of this project is to work with other organizations on Atlantic Datastream, as well as academia and government to generate data on Nutrients in the lower Wolastoq watershed from 2020 - 2022.
description: Both YSI multiparameter probe and laboratory analysis from an accredited facility were used in generating this data.
DOI: 10.6084/m9.figshare.30406039
title: Maintenance Equipment and Material Use Data for Urban Tree Management in Shihezi City, China

description: This dataset contains the life cycle inventory (LCI) data for the maintenance-stage management of urban trees in Shihezi City, an arid region of northwestern China. The data include records of equipment use, irrigation water consumption, fuel and electricity usage, pesticide and fertilizer application, and pruning frequency obtained from local landscape management departments. These records were used to estimate the carbon emissions associated with urban tree maintenance in the associated manuscript.
DOI: 10.6084/m9.figshare.30406039.v1
title: Maintenance Equipment and Material Use Data for Urban Tree Management in Shihezi City, China

description: This dataset contains the life cycle inventory (LCI) data for the maintenance-stage management of urban trees in Shihezi City, an arid region of northwestern China. The data include records of equipment use, irrigation water consumption, fuel and electricity usage, pesticide and fertilizer application, and pruning frequency obtained from local landscape management departments. These records were used to estimate the carbon emissions associated with urban tree maintenance in the associated manuscript.
DOI: 10.6084/m9.figshare.30406039.v2
title: Maintenance Equipment and Material Use Data for Urban Tree Management in Shihezi City, China

description: This dataset contains the life cycle inventory (LCI) data for the maintenance-stage management of urban trees in Shihezi City, an arid region of northwestern China. The data include records of equipment use, irrigation water consumption, fuel and electricity usage, pesticide and fertilizer application, and pruning frequency obtained from local landscape management departments. These records were used to estimate the carbon emissions associated with urban tree maintenance in the associated manuscript.
DOI: 10.6084/m9.figshare.28078541
title: <b>Appendix A</b>: Sample Meta Data, Replicate Summary, and ASV retention by dataset

description: A complete table of the sample metadata, each sample's environmental and technical replicate status, and the amplicon sequence variant (ASV) retention by dataset.
DOI: 10.6084/m9.figshare.28078541.v1
title: <b>Appendix A</b>: Sample Meta Data, Replicate Summary, and ASV retention by dataset

description: A complete table of the sample metadata, each sample's environmental and technical replicate status, and the amplicon sequence variant (ASV) retention by dataset.
DOI: 10.25584/2001040
title: Evaluation of Multi-Fidelity Soil Moisture Products Across the Continental United States

description: We have aggregated the most recent soil moisture datasets from a diverse range of sources, encompassing the Continental United States (CONUS). These sources encompass gridded data from remote sensing products, reanalysis products, machine learning-based projects, and land surface modeling products. Additionally, we have obtained and processed in-situ soil moisture observations from the International Soil Moisture Network. The collected datasets exhibit variations in both temporal and spatial resolutions. Among the 20 datasets, six are available at a spatial resolution of 0.25 degrees, while three are at a coarser spatial resolution of 25 km. To minimize spatial interpolation, we conducted data uncertainty evaluations at the 0.25-degree spatial resolution. For our data evaluations, we maintained a monthly temporal resolution, which effectively captures soil moisture seasonality and interannual variability. Our data processing strategy preserves the raw data and interpolated data at their original temporal resolutions. Datasets with higher temporal resolutions, including daily, three-hourly, and hourly datasets, are set aside for subsequent analyses. These analyses will delve into topics such as soil moisture changes and recovery during extreme weather events. Furthermore, we have processed auxiliary data to enhance our evaluation, leveraging tools such as Google Earth Engine. This includes incorporating topography data, land use land cover data, Köppen-Geiger climate classification, and more to provide a comprehensive assessment from multiple sources.
DOI: 10.5281/zenodo.10971456
title: A Unified Ensemble Soil Moisture Dataset Across the Continental United States

description: A unified ensemble soil moisture (SM) package has been developed over the Continental United States (CONUS). The data package includes 19 products from land surface models, remote sensing, reanalysis, and machine learning models. All datasets are unified to a 0.25-degree and monthly spatiotemporal resolution, covering various temporal spans and providing a comprehensive view of surface SM dynamics. The statistical analysis of the datasets leverages the Koppen-Geiger Climate Classification to explore surface SM’s spatiotemporal variabilities. The extracted SM characteristics highlight distinct patterns, with the western CONUS showing larger coefficient of variation values and the eastern CONUS exhibiting higher SM values. Remote sensing datasets tend to be drier, while reanalysis products present wetter conditions. In-situ SM observations serve as the basis for wavelet power spectrum analyses to explain discrepancies with respect to temporal scales across the 16 datasets facilitating daily SM records. This study provides a comprehensive soil moisture data package and an analysis framework that can be used for Earth system model evaluations and uncertainty quantification, quantifying drought impacts and land–atmosphere interactions, and making recommendations for drought response planning.

Data details: 1. scripts: 1) process data from original spatial resolution to 0.25 degree; 2) process data from original temporal resolution to monthly; 3) process the monthly data to seasonal mean analysis; 4) wavelet analysis. 2. data: 1) monthly 0.25deg data processed from raw datasets; 2) monthly and seasonal climatology data for comparison; 3) site data for wavelet analysis.

Reference: The data manuscript is under review now and will add it here later.

Contact: Mingjie Shi <mingjie.shi@pnnl.gov>; Lingcheng Li <lingcheng.li@pnnl.gov>
DOI: 10.5281/zenodo.10971457
title: Assessment of Multi-Source Soil Moisture Products Across the Continental United States: A Fidelity and Consistency Analysis

description: This study presents a detailed intercomparison and evaluation of 19 gridded global soil moisture datasets, focusing particularly on the Contiguous United States (CONUS). These datasets include a collection of land surface models, remote sensing, reanalysis, and machine learning products. All datasets are harmonized to a 0.25-degree spatial resolution, covering various temporal spans and providing a comprehensive view of soil moisture dynamics. The analysis leverages the Koppen-Geiger Climate Classification to explore soil moisture’s spatiotemporal variability across different climatic zones. Our results highlight distinct patterns, with arid regions showing lower moisture variabilities and temperate areas exhibiting higher values. Remote sensing data sets tend to indicate drier conditions, while reanalysis products often present wetter estimates. In-situ soil moisture observations from the International Soil Moisture Network serve as the basis for wavelet power spectrum analyses for deeper exploration of discrepancies with respect to temporal scales across the 19 datasets. Despite challenges posed by data heterogeneity and resolution discrepancies, our approach provides a robust framework that can be used for recommendations such as irrigation scheduling, flood risk mitigation, and drought response planning based on soil moisture assessment.

Data details: 1. scripts: 1) process data from original spatial resolution to 0.25 degree; 2) process data from original temporal resolution to monthly; 3) process the monthly data to seasonal mean analysis; 4) wavelet analysis. 2. data: 1) monthly 0.25deg data processed from raw datasets; 2) climatology data for comparison; 3) site data for wavelet analysis.

Reference: The data analysis manuscript is under review now and will add it here later.

Contact: Mingjie Shi <mingjie.shi@pnnl.gov>; Lingcheng Li <lingcheng.li@pnnl.gov>