cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1090572.10fu
title: SH1090572.10FU

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/sh1090573.10fu
title: SH1090573.10FU

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: 10.5066/p95fbgz1
title: Modeled extreme total water levels along the U.S. west coast

description: This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) for each 100-meter (m) section of the United States Pacific coast for return period storm scenarios. The analysis is based on a storm-impact scaling model that uses observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to the hydrodynamic forcing. Storm-induced water levels, due to both surge and waves, are compared to coastal elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Data on morphology (dune crest and toe elevation) and hydrodynamics (storm surge, wave setup and runup) are also included in this dataset. As new beach morphology observations and storm predictions become available, this analysis will be updated to describe how coastal vulnerability to storms will vary in the future. The data presented here include the dune morphology observations, as derived from lidar surveys.
DOI: 10.5066/p9o69x6e
title: Cascadia subduction zone database: compilation of published datasets relevant to Cascadia subduction zone earthquake hazards and tectonics (2022)

description: In this database, we compile and host several available onshore and offshore geologic, paleoseismic, geophysical, and instrumental datasets along the Cascadia subduction zone. The ScienceBase data release and downloadable map package is accompanied by an ArcGIS online map and StoryMap.
DOI: 10.5066/p9v3nqyb
title: Chronology of recent volcanic activity on the Island of Hawai‘i, Hawaii

description: The youngest and largest island in the State of Hawaii—the Island of Hawai‘i—is formed by five volcanoes, three of which have erupted within recent geologic history: Mauna Loa, Kīlauea, and Hualālai. This data release provides a chronology for activity and impacts at Mauna Loa, Kīlauea, and Hualālai over approximately the past two and a half centuries. This data release includes a word document, “HI_volcanoes_chronology_description,” that describes the data compilation process and provides simple summary tables of eruptive activity and maps. A CSV file contains the compiled eruption chronology data for all volcanoes—"HI_volcanoes_chronology_data”—references for which are provided in a separate CSV file titled “HI_volcanoes_chronology_references.” Additionally, a formatted excel file contains sheets with both the eruption chronology data and references (that are contained in the csv tables). Users are encouraged to reference the original sources of information in the tables presented here. These data are subject to revision as additional documentation is discovered, as more interpretive work on recent volcanic events is undertaken, or as additional eruptive activity occurs. At the time of publication of version one of this data release in January 2024, Hualālai erupted most recently in 1801, Kīlauea erupted most recently in September 2023 at the summit, and Mauna Loa most recently erupted in 2022.
DOI: 10.5281/zenodo.10239994
title: [data]Pollution source detection with low-cost low-accuracy sensors through coupling forward data assimilation and inverse optimization

description: The data used in the case study(Cases-S1,S2,S3)in manuscript "Pollution source detection with low-cost low-accuracy sensors through coupling forward data assimilation and inverse optimization"
DOI: 10.5281/zenodo.11402760
title: Raw data for "Unsteady secondary flow structure at a large river confluence"
DOI: 10.5281/zenodo.13336188
title: Data submission-GWT Fluc 2024

description: Data repository for GWT-fluc 2024.
DOI: 10.5281/zenodo.13736557
title: New particle formation from isoprene under upper-tropospheric conditions: data sources

description: Data resources for manuscript: "New particle formation from isoprene under upper-tropospheric conditions"
DOI: 10.5281/zenodo.13981448
title: Data of measurement report: size-resolved particle effective density measured by the AAC-SMPS and implications for chemical composition
DOI: 10.5281/zenodo.14036073
title: Hydrological drought connectedness - Dataset

description: The dataset contains the input and output information necessary to reproduce and interpret the results from the study "Spatially Compounding Drought Events in Brazil",  published in the Water Resources Research Journal - Gesualdo et al., (2024a). 

 

Input Data for Hydrological Drought Extraction Code (Gesualdo et al, 2024b)



database_mm: This contains a CSV file for each catchment with streamflow information in mm per day.

CABra_attributes.csv: This file includes the main catchment attribute classes.


The input data was obtained from the Catchments Attributes for Brazil (CABra) dataset (Almagro et al., 2023). For more details, please visit: CABra dataset on Zenodo. The output of this function is Q15_30MW folder, which contains drought identification information for each catchment in a separate CSV file.

 

Input Data for Hydrological Drought Connectedness Code (Gesualdo et al, 2024b)



All_info.csv: This is a compiled file containing information on all drought events analyzed in the study.


The output data includes:







connectivity_ids_data.csv: This file contains the dates when two catchments experienced a common drought event.

connectivity_ids.csv: This file contains the number of connected drought events between catchments.




 

Input Data to reproduce the figures




Figure
Inputs


Heatmap of Spearman's correlation
All_attributes_drought.csv


Spatial distribution of drought characteristics




All_attributes_drought.csv; SNIRH_RegioesHidrograficas_2020.shp




Drought co-occurrence network 
Connectivity_degree.csv; Connectivity_ids.csv; All_attributes_drought.csv; SNIRH_RegioesHidrograficas_2020.shp


Drought similarity clusters
Cluster_HydrologicalDrought.csv; SNIRH_RegioesHidrograficas_2020.shp


Catchment attribute variability
Cluster_HydrologicalDrought; All_attributes_drought.csv




 

ReferencesAlmagro, A., Oliveira, P. T. S., Meira Neto, A. A., Roy, T., & Troch, P. (2023). CABra: a novel large-sample dataset for Brazilian catchments (Version 5) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7612350

Gesualdo, G. C., Benso, M. R., Mendiondo, E. M., & Brunner, M. I. (2024a). Spatially compounding drought events in Brazil. Water Resources Research, 60, e2023WR036629. https://doi.org/10.1029/2023WR036629Gesualdo, G., Benso, M. R., Kobayashi, A., & Pereira Zamboni, P. A. (2024b). gabichiquito/Hydrological-drought-connectedness: v1.0. Zenodo. https://doi.org/10.5281/zenodo.14036013

These updates ensure clarity and ease of use, making the dataset and code accessible and reproducible for all users.
DOI: 10.5281/zenodo.14177000
title: SDUST2023VGGA

description: SDUST2023VGGA is a global oceanic vertical gradient of gravity anomaly (VGGA) model on a 1'×1' grid, constructed using multi-directional mean sea surface (MSS) data from the DTU21MSS. Covering latitudes from 80°S to 80°N, this model incorporates multi-directional observations to better capture variations in the oceanic gravity field. Comparison with the SIO V32.1 model indicates a high level of consistency, supporting SDUST2023VGGA’s suitability for studies of seafloor structure, ocean geophysics, and mass distribution.
DOI: 10.5281/zenodo.14257546
title: The HEC method processing code and output for constrained precipitation extremes reveal unequal future socioeconomic exposure
title: The HEC method processing code and output  used in the manuscript "Constrained precipitation extremes reveal unequal future socioeconomic exposure"
DOI: 10.5281/zenodo.4655204
title: CABra: a novel large-sample dataset for Brazilian catchments

description: Hydrometeorological time series and catchment attributes from the CABra dataset. The manuscript of "CABra: a novel large-sample dataset for Brazilian catchments" is under review in Hydrology and Earth System Sciences (HESS) journal. Here we present the Catchments Attributes for Brazil (CABra), which is a large-sample dataset for Brazilian catchments that includes long-term data (30 years) for 735 catchments in eight main catchment attribute classes (climate, streamflow, groundwater, geology, soil, topography, land-use and land-cover, and hydrologic disturbance). We have collected and synthesized data from multiple sources (ground stations, remote sensing, and gridded datasets). To prepare the dataset, we delineated all the catchments using the Multi-Error-Removed Improved-Terrain Digital Elevation Model and the coordinates of the streamflow stations provided by the Brazilian Water Agency (ANA), where only the stations with 30 years (1980-2010) of data and less than 10% of missing records were included. Catchment areas range from 9 to 4,800,000 km² and the mean daily streamflow varies from 0.02 to 9 mm day<sup>-1</sup>. Several signatures and indices were calculated based on the climate and streamflow data. Additionally, our dataset includes boundary shapefiles, geographic coordinates, and drainage area for each catchment, aside from more than 100 attributes within the attribute classes. Data can be also accessed at: thecabradataset.shinyapps.io/CABra * Inconsistency in catchment information (longitude, latitude, area) in the daily climate files have been corrected in this version.
description: For any questions contact andre.almagro@gmail.com
DOI: 10.5281/zenodo.7002836
title: EEG raw data from a flickering checkerboard stimulation

description: Database composed of 8 participants (aged between 21 and 44 years) EEG datasets. Stimuli presented dich-optically (60 Hz refresh rate and 1920x1080 pixel resolution). Monochromatic visual stimulation, alternating between two patterns: <em>off</em> and <em>on</em>. Off<em> -</em> presentation of a homogeneous gray screen (luminance set at half of its dynamic range). On - checkerboard inverting at 20 Hz, superimposed on a gray homogeneous background. The files are *.mat datasets with raw EEG signal (1000 Hz sampling rate). Each trial comprehends a stimulation sequence of approximately 3 minutes. Legend:<br> 'VLEOGD' = vertical left electrooculogram down<br> 'VLEOGU' = vertical left electrooculogram up <br> 'HLEOG' = horizontal left electrooculogram <br> 'HREOG' = horizontal right electrooculogram <br> 'LumSens' = photodiode<br> 'RIndEMG' = right Index finger electromyogram
DOI: 10.5281/zenodo.7701635
title: CLDF dataset derived from Key and Comrie's "Intercontinental Dictionary Series" from 2023

description: Cite the source of the dataset as: Key, Mary Ritchie & Comrie, Bernard (eds.) 2023. The Intercontinental Dictionary Series. Leipzig: Max Planck Institute for Evolutionary Anthropology.
DOI: 10.5291/ill-data.7-04-147
title: Influence of structural fluorine on the atomic vibrations of confined water in swelling clays
DOI: 10.5517/ccdc.csd.cc1lsw19
title: CCDC 1483661: Experimental Crystal Structure Determination

description: Related Article: Sathyadevi Palanisamy,  Way-Zen Lee,  Yun-Ming Wang|2017|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.18972998
title: Mites_litter_decomposition_dataset_24_01.xlsx

description: Impact of microclimatic conditions on soil mite (Mesostigmata) abundance, species richness and diversity and litter decomposition
DOI: 10.7273/000006421
title: Mesomodel Microplastic Fiber Experiments and Simulation Results

description: The compressed tarball archive contains the datasets and Matlab scripts necessary to reproduce the results from the PhD work of Tyler Fouty. All of the experimental and simulation results come from efforts attempting to directly capture the trajectories of microplastic fibers moving through idealized porous media analogs. The included mp4 video is an example of the mechanistic numerical simulation framework used to describe the fiber motion.
DOI: 10.14278/rodare.3294
title: Data publication: Resonant defect states of transparent conductive oxide SnO2:Ta revealed by excitation wavelength-dependent Raman spectroscopy and hybrid functional DFT calculations

description: The data publication contains the primary data used for the publication. There are three groups of data: Raman data, optical data, and DFT data. The two former are in txt format, the DFT partially as Excel and partially as txt file.
DOI: 10.14278/rodare.3293
title: Data publication: Resonant defect states of transparent conductive oxide SnO2:Ta revealed by excitation wavelength-dependent Raman spectroscopy and hybrid functional DFT calculations

description: The data publication contains the primary data used for the publication. There are three groups of data: Raman data, optical data, and DFT data. The two former are in txt format, the DFT partially as Excel and partially as txt file.
DOI: 10.15468/dl.wmpkrd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Squalus margaretsmithae Viana, Lisher & Carvalho, 2017",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022258-241126133413365/datasets/export for details.
DOI: 10.15468/dl.yqceuf
title: Occurrence Download

description: A dataset containing 7747 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crassostrea virginica (Gmelin, 1791)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 7747 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022259-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hzabda
title: Occurrence Download

description: A dataset containing 140 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arapaima gigas (Cuvier, 1829)"
 ]
}

 The dataset includes 140 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022261-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.75v9v7
title: Occurrence Download

description: A dataset containing 708 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pristigenys alta (Gill, 1862)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 708 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022262-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/s5p89n
title: PAN-00009868 - real Nauheim brooch

description: This find is registered at Portable Antiquities of the Netherlands with number PAN-00009868
DOI: 10.15151/esrf-es-1940863499
title: Practicals for UGA master students: Forbidden reflections in Germanium

description: We will explore the forbidden reflections of a germanium single crystal and study phenomena that switch them on: multiple diffraction and resonant scattering.
DOI: 10.18170/dvn/tb2nqc
title: The County-Level Sent-down Youth Dataset of China

description: This data is the county-level data on send-down youth used in Chen et al. (2020), titled "Arrival of Young Talent: The Send-down Movement and Rural Education in China". It covers the number of send-down youth received by each county from 1968 to 1977.
DOI: 10.15468/dl.nfwr2n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Squalus mahia Viana, Lisher & Carvalho, 2017",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022265-241126133413365/datasets/export for details.
DOI: 10.15468/dl.5z3g6m
title: Occurrence Download

description: A dataset containing 22186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ptereleotris calliura (Jordan & Gilbert, 1882)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 22186 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022266-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7tu2yx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Squalus griffini Phillipps, 1931",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022269-241126133413365/datasets/export for details.
DOI: 10.6084/m9.figshare.26354495
title: Diagnosis of preeclampsia using metabolomic biomarkers

description: The diagnostic criteria for preeclampsia do not accurately reflect the pathophysiological characteristics of patients with preeclampsia. Conventional biomarkers and diagnostic approaches have proven insufficient to fully comprehend the intricacies of preeclampsia. This study aimed to screen differentially abundant metabolites as candidate biomarkers for preeclampsia. A propensity score matching method was used to perform a 1:1 match between preeclampsia patients (<i>n</i> = 70) and healthy control individuals (<i>n</i> = 70). Based on univariate and multivariate statistical analysis methods, the different characteristic metabolites were screened and identified. Least absolute shrinkage and selection operator (LASSO) regression analysis was subsequently used to further screen for differentially abundant metabolites. A receiver operating characteristic (ROC) curve was drawn to evaluate the diagnostic efficacy of the metabolites. A total of 1,630 metabolites were identified and quantified in maternal serum samples. Fifty-three metabolites were significantly increased, and two were significantly decreased in preeclampsia patients. The area under the curve (AUC) of the model composed of isobutyryl-L-carnitine and acetyl-leucine was 0.878, and the sensitivity and specificity in detecting preeclampsia were 81.4% and 87.1%, respectively. There are significant differences in metabolism between preeclampsia patients and healthy pregnant women, and a range of novel biomarkers have been identified. These findings lay the foundation for the use of metabolomic biomarkers for the diagnosis of preeclampsia.
DOI: 10.6084/m9.figshare.26354495.v1
title: Diagnosis of preeclampsia using metabolomic biomarkers

description: The diagnostic criteria for preeclampsia do not accurately reflect the pathophysiological characteristics of patients with preeclampsia. Conventional biomarkers and diagnostic approaches have proven insufficient to fully comprehend the intricacies of preeclampsia. This study aimed to screen differentially abundant metabolites as candidate biomarkers for preeclampsia. A propensity score matching method was used to perform a 1:1 match between preeclampsia patients (<i>n</i> = 70) and healthy control individuals (<i>n</i> = 70). Based on univariate and multivariate statistical analysis methods, the different characteristic metabolites were screened and identified. Least absolute shrinkage and selection operator (LASSO) regression analysis was subsequently used to further screen for differentially abundant metabolites. A receiver operating characteristic (ROC) curve was drawn to evaluate the diagnostic efficacy of the metabolites. A total of 1,630 metabolites were identified and quantified in maternal serum samples. Fifty-three metabolites were significantly increased, and two were significantly decreased in preeclampsia patients. The area under the curve (AUC) of the model composed of isobutyryl-L-carnitine and acetyl-leucine was 0.878, and the sensitivity and specificity in detecting preeclampsia were 81.4% and 87.1%, respectively. There are significant differences in metabolism between preeclampsia patients and healthy pregnant women, and a range of novel biomarkers have been identified. These findings lay the foundation for the use of metabolomic biomarkers for the diagnosis of preeclampsia.
DOI: 10.5281/zenodo.13951523
title: Dataset on the content of Cu, Ni Cd, Pb, Zn, Ag, Mg, Fe, Co and Ca in the carcass, gastrointestinal tract tissues and the whole body of nestlings of a small passerine bird, the Eurasian Reed Warbler Acrocephalus scirpaceus

description: The data include the description of the age and the concentrations of Cu, Ni Cd, Pb, Zn, Ag, Mg, Fe, Co and Ca measured in the isolated, emptied gastrointestinal tract, the whole body, and carcass of the each individual nestling of a different age and hence a different stage of post-natal development. The dataset includes also some additional information on the breeding biology of the focal species.