cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26615752
title: <b>The abundance of ground-level atmospheric ice-nucleating particles and aerosol properties </b><b>in the North Slope of Alaska</b>

description: We present one of the first long-duration ambient ice-nucleating particle (INP) data for the Arctic, two years of INP concentrations (<i>n</i><sub>INP</sub>) measured continuously at the Barrow Atmospheric Baseline Observatory (BRW) in North Slope of Alaska. The BRW site is located at 71.32° N, 156.61° W and about 6 km northeast of the nearest residential area, Utqiaġvik, AK. The field measurements were initiated in October 2021 and lasted until May 2024 as part of the multi-year remote observation campaign, called the Examining INP at NSA (ExINP-NSA; https://www.arm.gov/research/campaigns/nsa2021exinpnsa last seen on June 16th, 2024). A portable ice nucleation experiment chamber (PINE-03), which simulates adiabatic expansion cooling, was used to directly monitor the ground-level ambient INP abundance with an approximately 12-minute time resolution from October 2021 to December 2023. We report PINE-03-measured <i>n</i><sub>INP</sub> data over a wide range of heterogeneous freezing temperatures from -16 °C to -31 °C. Complementary aerosol and meteorological data analyses were performed to assess the correlation between ambient INP propensity, air mass source region, and meteorological variability in NSA.A total of 8 datasets is provided (the metadata and data matrices are separated). An individual method-oriented data abstract is available in metadata for each output sub-folder. All Python codes used for processing input data and generating output data are paired with the readme files and archived in folders. The output data is produced by including all dataset (denoted All) and/or processing a subset of flagged dataset (namely Flagged or Contaminated) and other non-flagged screened dataset (denoted Non-flagged or Screened/Clean). The data flagging algorithm using wind direction at the observatory is a simple yet useful way of identifying contamination from the town. It is worth noting that we also flag the data based on wind speed and number concentration, and data mentor edits. The algorithm we use is described in this paper (Sheridan et al., 2016). This method is consistent across the NOAA observatories and varies only by definition for the clean air sector. NOAA provides flagging information of aerosol data for every minute. NOAA’s aerosol data flagging was synchronized to the PINE-03 data acquisition interval.<b>Reference:</b> Sheridan, P., Andrews, E., Schmeisser, L., Vasel, B., and Ogren, J.: Aerosol Measurements at South Pole: Climatology and Impact of Local Contamination, Aerosol Air Qual. Res., 16, 855–872, https://doi.org/10.4209/aaqr.2015.05.0358, 2016.
DOI: 10.6084/m9.figshare.26615752.v2
title: <b>The abundance of ground-level atmospheric ice-nucleating particles and aerosol properties </b><b>in the North Slope of Alaska</b>

description: We present one of the first long-duration ambient ice-nucleating particle (INP) data for the Arctic, two years of INP concentrations (<i>n</i><sub>INP</sub>) measured continuously at the Barrow Atmospheric Baseline Observatory (BRW) in North Slope of Alaska. The BRW site is located at 71.32° N, 156.61° W and about 6 km northeast of the nearest residential area, Utqiaġvik, AK. The field measurements were initiated in October 2021 and lasted until May 2024 as part of the multi-year remote observation campaign, called the Examining INP at NSA (ExINP-NSA; https://www.arm.gov/research/campaigns/nsa2021exinpnsa last seen on June 16th, 2024). A portable ice nucleation experiment chamber (PINE-03), which simulates adiabatic expansion cooling, was used to directly monitor the ground-level ambient INP abundance with an approximately 12-minute time resolution from October 2021 to December 2023. We report PINE-03-measured <i>n</i><sub>INP</sub> data over a wide range of heterogeneous freezing temperatures from -16 °C to -31 °C. Complementary aerosol and meteorological data analyses were performed to assess the correlation between ambient INP propensity, air mass source region, and meteorological variability in NSA.A total of 8 datasets is provided (the metadata and data matrices are separated). An individual method-oriented data abstract is available in metadata for each output sub-folder. All Python codes used for processing input data and generating output data are paired with the readme files and archived in folders. The output data is produced by including all dataset (denoted All) and/or processing a subset of flagged dataset (namely Flagged or Contaminated) and other non-flagged screened dataset (denoted Non-flagged or Screened/Clean). The data flagging algorithm using wind direction at the observatory is a simple yet useful way of identifying contamination from the town. It is worth noting that we also flag the data based on wind speed and number concentration, and data mentor edits. The algorithm we use is described in this paper (Sheridan et al., 2016). This method is consistent across the NOAA observatories and varies only by definition for the clean air sector. NOAA provides flagging information of aerosol data for every minute. NOAA’s aerosol data flagging was synchronized to the PINE-03 data acquisition interval.<b>Reference:</b> Sheridan, P., Andrews, E., Schmeisser, L., Vasel, B., and Ogren, J.: Aerosol Measurements at South Pole: Climatology and Impact of Local Contamination, Aerosol Air Qual. Res., 16, 855–872, https://doi.org/10.4209/aaqr.2015.05.0358, 2016.
DOI: 10.15468/dl.42c7z5
title: Occurrence Download

description: A dataset containing 4749 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Pakistan",
 "TaxonKey is Milvus migrans (Boddaert, 1783)",
 "Year 2020-2024"
 ]
}

 The dataset includes 4749 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046923-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/tb4w-2c67
title: JU-Impact WiFi Radiomap

description: The JU-Impact Radiomap Dataset is a comprehensive dataset designed for research and development in indoor positioning systems. It comprises 5431 instances characterized by readings from 105 static Wi-Fi Access Points (APs) and spans 152 distinct virtual grids. Each virtual grid represents a 1x1 square meter area, derived by dividing a physical floor of a university building into reference coordinate points (x, y). The dataset was collected over a period of 21 days using four mobile devices: Samsung Galaxy Tab, Moto G, Redmi Note 4, and Google Pixel.An Android application was specifically developed to facilitate hotspot detection during the data collection phase. However, the dataset includes only static, registered Wi-Fi APs to ensure reliability in localization and excludes transient hotspots. Preprocessing was meticulously performed to address missing data, where absent Received Signal Strength (RSS) values were imputed with -110 dBm, signifying APs out of range.The JU-Impact Radiomap Dataset provides a robust foundation for evaluating indoor localization algorithms, offering real-world variability and device diversity. Its detailed structure and preprocessing ensure high utility for applications in Wi-Fi-based indoor positioning and related fields.
DOI: 10.15468/dl.tjzt5b
title: Occurrence Download

description: A dataset containing 37828 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mosquito Alert Dataset"
 ]
}

 The dataset includes 37828 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046924-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p1am8am7
title: Monthly twelve-digit hydrologic unit code aggregations of the CONUS404 bias adjusted application, 1979-2021

description: This data release contains accumulated precipitation data from the CONUS404 climate forcing variable subset for hydrologic models, downscaled to 1 km and bias-adjusted for precipitation and temperature (CONUS404-BA; Zhang and others, 2024) from January 1980 through September 2021 that is summarized to a monthly time step and a twelve-digit hydrologic unit code for the spatial extent of the conterminous United States. These data can be found in the “huc12_monthly_conus404ba_WY1980_WY2021.nc” file. Additionally, one supplementary file is also included in this data release. The additional file (“weights_grid_to_huc12_conus404ba.csv”) contains the spatial weights, or fraction, that is used to “weight” the source data in an area-weighting process.
DOI: 10.15468/dl.6gsnee
title: Occurrence Download

description: A dataset containing 37828 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mosquito Alert Dataset"
 ]
}

 The dataset includes 37828 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046925-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23719/1531907
title: Technical evaluation and standardization of the human thyroid microtissue assay

description: Dataset for Foley et al. 'Technical evaluation and standardization of the human thyroid microtissue assay'; Toxicological Sciences, Vol 199, Issue 1, pg 89-107, kfae014   May 2024. DOI https://doi.org/10.1093/toxsci/kfae014
DOI: 10.5281/zenodo.11410728
title: Fressengeas - Valadeau Genealogy

description: Ce jeu de donnée est constitué d'un fichier GEDCOM (.ged) contenant la généalogie Fressengeas - Valadeau au format GEDCOM, et d'un répertoire contenant les médias référencés dans le fichier GEDCOM.
description: Serveur généalogique : http://arbre.fressengeas.net
DOI: 10.5281/zenodo.14548947
title: Fressengeas - Valadeau Genealogy

description: Ce jeu de donnée est constitué d'un fichier GEDCOM (.ged) contenant la généalogie Fressengeas - Valadeau au format GEDCOM, et d'un répertoire contenant les médias référencés dans le fichier GEDCOM.
description: Serveur généalogique : http://arbre.fressengeas.net
DOI: 10.5281/zenodo.3690820
title: Fressengeas - Valadeau Genealogy

description: Ce jeu de donnée est constitué d'un fichier GEDCOM (.ged) contenant la généalogie Fressengeas - Valadeau au format GEDCOM, et d'un répertoire contenant les médias référencés dans le fichier GEDCOM.
description: Serveur généalogique : http://arbre.fressengeas.net
DOI: 10.5281/zenodo.3690821
title: Fressengeas - Valadeau Genealogy

description: Two files are in this data set : one GEDCOM (.ged) file containing the Fressengeas-Valadeau Genealogy in the GEDCOM format one ZIP archive containing all the media as referenced by the GEDCOM file Deux fichiers dans ce jeu de données : un fichier GEDCOM (.ged) contenant la généalogie Fressengeas - Valadeau au format GEDCOM une archive ZIP contenant les fichier media tels que référencés par le fichier GEDCOM
description: Live genealogy server : http://arbre.fressengeas.net
DOI: 10.5281/zenodo.7677276
title: Fressengeas - Valadeau Genealogy

description: Two files are in this data set : one GEDCOM (.ged) file containing the Fressengeas-Valadeau Genealogy in the GEDCOM format one ZIP archive containing all the media as referenced by the GEDCOM file Deux fichiers dans ce jeu de données : un fichier GEDCOM (.ged) contenant la généalogie Fressengeas - Valadeau au format GEDCOM une archive ZIP contenant les fichier media tels que référencés par le fichier GEDCOM
description: Live genealogy server : http://arbre.fressengeas.net
DOI: 10.6084/m9.figshare.28082771
title: <b>Antimicrobial</b><b> Lobophorins from Endophytic Strain </b><b>Streptomyces</b><b> sp. R6 Obtained from </b><b>Azadirachta indica</b>

description: This is the supplementary material of the article.
DOI: 10.6084/m9.figshare.28082771.v1
title: <b>Antimicrobial</b><b> Lobophorins from Endophytic Strain </b><b>Streptomyces</b><b> sp. R6 Obtained from </b><b>Azadirachta indica</b>

description: This is the supplementary material of the article.
DOI: 10.15468/dl.m3efff
title: Occurrence Download

description: A dataset containing 37828 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mosquito Alert Dataset"
 ]
}

 The dataset includes 37828 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046926-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11410799
title: Généalogie Chouvet

description: Ce jeu de donnée est constitué d'un fichier GEDCOM (.ged) contenant la généalogie Chouvet au format GEDCOM, et d'un répertoire contenant les médias référencés dans le fichier GEDCOM.
DOI: 10.5281/zenodo.11410800
title: Généalogie Chouvet

description: Ce jeu de donnée est constitué d'un fichier GEDCOM (.ged) contenant la généalogie Fressengeas - Valadeau au format GEDCOM, et d'un répertoire contenant les médias référencés dans le fichier GEDCOM.
DOI: 10.5281/zenodo.14549045
title: Généalogie Chouvet

description: Ce jeu de donnée est constitué d'un fichier GEDCOM (.ged) contenant la généalogie Chouvet au format GEDCOM, et d'un répertoire contenant les médias référencés dans le fichier GEDCOM.
DOI: 10.5281/zenodo.14548884
title: CNRFC_SWE_1979_2023

description: SWE Ouput from SNOW-17 from CNFRC

The SNOW-17 model is an operationally configured version (no manual adjustment). 

Note: Since calibration of SNOW-17 parameters is performed together with SAC-SMA parameters at the CNRFC, biases in SWE accumulation and ablation may be needed to accommodate biases in SAC-SMA parameterization during calibration.
DOI: 10.5281/zenodo.14548885
title: CNRFC_SWE_1979_2023

description: SWE Ouput from SNOW-17 from CNFRC

The SNOW-17 model is an operationally configured version (no manual adjustment). 

Note: Since calibration of SNOW-17 parameters is performed together with SAC-SMA parameters at the CNRFC, biases in SWE accumulation and ablation may be needed to accommodate biases in SAC-SMA parameterization during calibration.
DOI: 10.15468/dl.ygtnu3
title: Occurrence Download

description: A dataset containing 5270 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Gastrointestinal helminths of terrestrial small mammals in West Africa"
 ]
}

 The dataset includes 5270 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046928-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f5m323
title: Occurrence Download

description: A dataset containing 5270 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Gastrointestinal helminths of terrestrial small mammals in West Africa"
 ]
}

 The dataset includes 5270 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046929-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mqngs6
title: Occurrence Download

description: A dataset containing 59568 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "TaxonKey is Melanerpes chrysogenys (Vigors, 1839)"
 ]
}

 The dataset includes 59568 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046930-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27988361
title: QPCR determined the up-regulation of MYO1B and TMSB4X in OA tissues compared to control

description: QPCR determined the up-regulation of MYO1B and TMSB4X in OA tissues compared to control
DOI: 10.6084/m9.figshare.27988361.v1
title: QPCR determined the up-regulation of MYO1B and TMSB4X in OA tissues compared to control

description: QPCR determined the up-regulation of MYO1B and TMSB4X in OA tissues compared to control
DOI: 10.15468/dl.g7bavx
title: Occurrence Download

description: A dataset containing 3993 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Senegal",
 "DatasetKey is Gastrointestinal helminths of terrestrial small mammals in West Africa"
 ]
}

 The dataset includes 3993 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046932-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6567yd
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Ardeotis nigriceps (Vigors, 1831)"
 ]
}

 The dataset includes 83 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046933-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28083515
title: AI-Weather SotA vs Time

description: The purpose of this spreadsheet is not to exactly compare different models but rather to get an overall sense of progress in AI-based weather prediction.
DOI: 10.15468/dl.7xwgar
title: Occurrence Download

description: A dataset containing 4857847 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material citation, Material sample, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Agaricomycetes"
 ]
}

 The dataset includes 4857847 records from 1063 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046931-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nrpyys
title: Occurrence Download

description: A dataset containing 10385 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Python bivittatus"
 ]
}

 The dataset includes 10385 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005943-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive148499.20251217.10
title: Schaalia radingae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0136454.10fu
title: SH0136454.10FU

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/bacdive148500.20241212.9.2
title: Gleimia europaea

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive148500.20251217.10
title: Gleimia europaea

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0136455.10fu
title: SH0136455.10FU

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/bacdive148501.20241212.9.2
title: Paraclostridium bifermentans

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive148501.20251217.10
title: Paraclostridium bifermentans

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0136456.10fu
title: SH0136456.10FU

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/bacdive148502.20241212.9.2
title: Streptococcus anginosus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.