cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1973267.08fu
title: SH1973267.08FU

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/dl.vr3h56
title: Occurrence Download

description: A dataset containing 29824 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083822-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13369168
title: DNA codes under multiple constraints
DOI: 10.5281/zenodo.13369169
title: DNA codes under multiple constraints
DOI: 10.15468/dl.f2uqcg
title: Occurrence Download

description: A dataset containing 477 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Coleophora albidella (Denis & Schiffermüller), 1775",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 477 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083824-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qsqxby
title: Occurrence Download

description: A dataset containing 29824 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083825-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fpjkjv
title: Occurrence Download

description: A dataset containing 1011 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Coleophora versurella Zeller",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 1011 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083827-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c2n5rz
title: Occurrence Download

description: A dataset containing 3040 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Nigeria",
 "TaxonKey is Chiroptera"
 ]
}

 The dataset includes 3040 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083826-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8kbhfx
title: Occurrence Download

description: A dataset containing 29824 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083828-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y2yu4n
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Coleophora maritimella Newman, 1873",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 23 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083829-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n99r4z
title: Occurrence Download

description: A dataset containing 29824 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083830-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qhp4mw
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Coleophora calycotomella Stainton, 1869",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 97 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083831-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p9eqqer7
title: Daily water column temperature predictions for thousands of Midwest U.S. lakes between 1979-2022 and under future climate scenarios
DOI: 10.5281/zenodo.12526874
title: Supplemental file for the manuscript "Utility of salivary cortisol and cortisone in the diagnostics of adrenal insufficiency"

description: Supplemental file for the manuscript "Utility of salivary cortisol and cortisone in the diagnostics of adrenal insufficiency"
DOI: 10.5281/zenodo.2600192
title: Downscaled ERA-Interim gridded historical climate data over China (1980-2010)

description: <strong>Gridded historical climate data over China, spanning 1981 to 2010. Dynamically downscaled to 25km resolution using the PRECIS2.0 (HadRM3P) Met Office regional climate model, driven by ERA-Interim reanalysis from the European Centre for Medium-Range Weather Forecasts (ECMWF).</strong> This data has been un-rotated to true latitude longitude coordinates from its original rotate pole frame of reference. For more information on the PRECIS regional climate model, visit www.metoffice.gov.uk/precis. Data near the boundaries should be used with caution due to model configuration aspects of regional climate modelling, and the interpolation method applied. Data created as part of the Met Office Climate Science for Service Partnership China (CSSP China), work package 1 output, supported by the Newton Fund and the Department for Business, Energy & Industrial Strategy (BEIS) UK-China Research Innovation Partnership Fund. <strong>Domain</strong>: 17N to 58.84N, 73E to 135.7E <strong>Countries covered</strong>: China, Nepal, Bhutan, Bangladesh, Taiwan, Mongolia, North Korea, South Korea, Kyrgzstan, and northern parts of India, Myanmar, Lao PDR & Vietnam. <strong>Variables</strong>: pr (mean precipitation flux), tm (mean surface temperature), tn (minimum surface temperature) & tx (maximum surface temperature) <strong>Time averaging</strong>: monthly <em>This data set supplements the equivalent downscaled 20CRv2c data set: Downscaled 20CRv2c (#37) gridded historical climate data over China (1851-2010) doi: 1</em>0.5281/zenodo.2558135
DOI: 10.5281/zenodo.3467375
title: Shear Wave Splitting and Mantle Flow beneath Alaska Data Set

description: Entire data set for the (under review) publication "Shear Wave Splitting in Alaska." McPherson_S1_Station_Info is a table that contains the following columns (with header row): Station Name, Network, Latitude (Deg), Longitude (Deg). This is a table of all the seismic stations in Alaska and western Canada that we downloaded data from. Only stations that were active from Jan 1, 2010, to Aug 18, 2017 are included. McPherson_S2_Event_Info is a table that contains the following columns (with header row): Julian Date, Origin Time, Latitude (Deg), Longitude (Deg), Depth (km), Magnitude (Mw). This is a table of all the seismic events that occurred between Jan 1, 2010, to Aug 18, 2017 within the distance range 80 to 140 degrees from a station, over moment magnitude 5. McPherson_S3_Results_Info is a table that contains the following columns (with header row): Station Name, Back Azimuth (Deg), Distance (Deg), Fast Direction (Deg), Lower Bound (Deg), Upper Bound (Deg), Time Difference (sec), Lower Bound (sec), Upper Bound (sec), Julian Date, Origin Time. This table contains all of the minimum energy method (Silver & Chan, 1991) results that are displayed in Figures 4, 6-12 of the paper under review. McPherson_S4_Nulls_Info is a table that contains the following columns (with header row): Station Name, Back Azimuth (Deg), Distance (Deg), Julian Date, Origin Time. This tables contains all the null results displayed in Figure 5 of the paper under review.
description: This research is supported by National Science Foundation grants EAR-1251971 (SALMON), EAR-1460318 (WVLF, Christensen) and EAR-1460291 (WVLF, Abers).
description: {"references": ["Silver, P. G., & Chan, W. W. (1991), Shear Wave Splitting and Subcontinental Mantle Deformation. Journal of Geophysical Research, 91, 16429-16454. doi:10.1029/91JB00899"]}
DOI: 10.57966/6rwy-0b07
title: World Development Indicators
DOI: 10.6073/pasta/015d3ff36195d0531dff560f0ca28634
title: High frequency measurements from Lake Fryxell Meteorological Station (FRLM), McMurdo Dry Valleys, Antarctica (1993-2022, ongoing)

description: As part of the McMurdo Dry Valleys Long Term Ecological Research program, meteorological data are collected from various locations throughout the McMurdo Dry Valleys of Antarctica. This data package contains 15-minute data from the Lake Fryxell Meteorological Station (FRLM), located in Taylor Valley. BOYM was established in 1993, during the 93/94 field season.
DOI: 10.6084/m9.figshare.26086693
title: Dataset TMJD in music students

description: Temporomandibular joint disorder among Peruvian music students of different instrumental specialties
DOI: 10.7303/syn61672643
title: database
DOI: 10.17038/cse/1997230
title: Active Thermochemical Tables (ATcT) Thermochemical Values ver. 1.128
DOI: 10.18739/a2445hc19
title: LeConte Glacier Unmanned Aerial Vehicle (UAV) imagery, LeConte Glacier, Alaska, 2018
DOI: 10.21227/kfxw-8084
title: File Fragment Type (FFT) - 75 Dataset

description: This FFT-75 dataset contains randomly sampled, potentially overlapping file fragments from 75 popular file types (see details below). It is the most diverse and balanced dataset available to the best of our knowledge. The dataset is labeled with class IDs and is ready for training supervised machine learning models. We distinguish 6 different scenarios with different granularity and provide variants with 512 and 4096-byte blocks. In each case, we sampled a balanced dataset and split the data as follows: 80% for training, 10% for testing and 10% for validation.
DOI: 10.5066/p95ak9hp
title: Conterminous United States Land Cover Projections - 1992 to 2100

description: The USGS's FORE-SCE model was used to produce land-use and land-cover (LULC) projections for the conterminous United States. The projections were originally created as part of the "LandCarbon" project, an effort to understand biological carbon sequestration potential in the United States. However, the projections are being used for a wide variety of purposes, including analyses of the effects of landscape change on biodiversity, water quality, and regional weather and climate. The year 1992 served as the baseline for the landscape modeling. The 1992 to 2005 period was considered the historical baseline, with datasets such as the National Land Cover Database (NLCD), USGS Land Cover Trends, and US Department of Agriculture's Census of Agriculture used to guide the recreation of historical land cover for this period. 2006 to 2100 was considered the future projection time frame. Four scenarios were modeled for 2006 to 2100, corresponding to four major scenario storylines from the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES). The global IPCC SRES (A1B, A2, B1, and B2 scenarios) were downscaled to ecoregions in the conterminous United States, with the USGS Forecasting Scenarios of land use (FORE-SCE) model used to produce landscape projections consistent with the IPCC SRES. The land-use scenarios focused on socioeconomic impacts on anthropogenic land use (demographics, energy use, agricultural economics, and other socioeconomic considerations). The projections provided here are characterized by: 1) 250-meter spatial resolution (250-m pixels) 2) 17 land-cover classes, similar to classes from NLCD 3) Annual land cover maps from 1992 to 2100 4) Spatial coverage for the entire conterminous United States 5) An additional "forest stand age" layer for both the historical period (1992-2005) and the projected period (2006-2100). These data mark age in years since last land-use change or disturbance for forest pixels. Data are provided here for 1) the historical 1992 to 2005 period, and 2) for each of the four scenarios from 2006 to 2100. 10 .zip files are available for download, 5 representing land-use and land-cover maps for both the historical period and the four future scenarios, and 5 representing forest stand age. Each zip file contains GeoTIFF files with annual maps for the given timeframe. The metadata associated with this data release provides a key for identifying file names associated with each of the .zip files, as well as definitions for the 17 land-cover classes. A further description of these data can be found at: Sohl, T.L., Sayler, K.L., Bouchard, M.A., Reker, R.R., Freisz, A.M., Bennett, S.L., Sleeter, B.M., Sleeter, R.R., Wilson, T., Soulard, C., Knuppe, M., and Van Hofwegen, T, 2014, Spatially explicit modeling of 1992 to 2100 land cover and forest stand age for the conterminous United States. Ecological Applications 24(5):1115-1136. https://doi.org/10.1890/13-1245.1
DOI: 10.5067/yzjjxztfcx6b
title: MERRA-2 tavgU_2d_adg_Nx: 2d,Diurnal,Time-averaged,Single-Level,Assimilation,Aerosol Diagnostics (extended) V5.12.4
DOI: 10.5281/zenodo.11243548
title: Prioritizing forestation in China through incorporating BGC and local BGP effects

description: No description provided.
DOI: 10.5281/zenodo.11992364
title: Near-field experimental dataset for the Article "Deep Subwavelength Topological Edge State in a Hyperbolic Medium"
DOI: 10.5281/zenodo.8340269
title: Supplementary files for QoL paper

description: R analysis code and dataset used in the manuscript
DOI: 10.6073/pasta/4a05c0ee5d4206ace545c0db42748372
title: High frequency measurements from Friis Hills Meteorological Station (FRSM), McMurdo Dry Valleys, Antarctica (2010-2021, ongoing)

description: As part of the McMurdo Dry Valleys Long Term Ecological Research program, meteorological data are collected from various locations throughout the McMurdo Dry Valleys of Antarctica. This data package contains 15-minute data from the Friis Hills Meteorological Station (FRSM), located in Taylor Valley (Latitude: -77.7474, Longitude: 161.5162, Elevation: 1,591 meters above sea level).
DOI: 10.6073/pasta/697f87a9445a4ae860504b2c4674ad16
title: High frequency measurements from Lake Vanda Meteorological Station (VAAM), McMurdo Dry Valleys, Antarctica (1994-2022, ongoing)

description: As part of the McMurdo Dry Valleys Long Term Ecological Research program, meteorological data are collected from various locations throughout the McMurdo Dry Valleys of Antarctica. This package contains 15-minute data from the Lake Vanda Meteorological Station (VAAM), located in Wright Valley. VAAM was established in 1994, during the 94/95 field season.
DOI: 10.6084/m9.figshare.9850571
title: Metadata record for: The Forest Observation System, building a global reference dataset for remote sensing of forest biomass

description: This dataset contains key characteristics about the data described in the Data Descriptor The Forest Observation System, building a global reference dataset for remote sensing of forest biomass. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br><br>Versioning Note:A revised version was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.
DOI: 10.15468/dl.9ajazt
title: Occurrence Download

description: A dataset containing 199 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neodiprion abietis (Harris, 1841)"
 ]
}

 The dataset includes 199 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0151565-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24432/c5qw3h
title: Physicochemical Properties of Protein Tertiary Structure
DOI: 10.5281/zenodo.10078201
title: Data set for analyzing scaling and criticality in large-scale social systems regulated by global factors

description: Research information:

Title: Scaling and criticality in large-scale social systems regulated by global factors
Abstract: How do individuals in large-scale social systems behave in response to global factors and what kinds of macroscopic dynamics will emerge as consequences? Here we conduct a naturalistic observation of the daily consumer behaviours of 190,000 individuals from January 2018 to December 2022, extracting the long-term consumption dynamics of about 6000 types of commodities from approximately 2.2 million purchase orders. The consumption dynamics is subdivided into trend, seasonal, and random components, whose dynamic processes across scales are analyzed by a renormalization group. we discover that the coronavirus pandemic, an exogenetic factor acting on the social system, regulates the scaling and criticality of consumption dynamics. On a large time scale, the long-term dynamics of the system, regardless of arising from trend, seasonal, or random individual behaviours, is pushed towards a boundary between independent and correlated phases as the pandemic erupts. On a smaller time scale, short-term consumption dynamics exhibits more diversities in response to the pandemic. While the trend and random behaviours of individuals are driven to quasi-criticality and exhibit scale-invariance as the pandemic breaks out, seasonal behaviours are more robust against regulations. Overall, our study provides insights into the regulation mechanisms of global factors on the dynamics of large-scale and heterogeneous social systems.
Data set description:

RawData: A csv file for approximately 2.2 million times purchase orders made by around 190,000 individuals before, during, and after the outbreak of coronavirus disease 2019 (COVID-19). 
ConsumptionDynamics: A csv file that describes the daily evolution of the consumption frequencies for approximately 6,000 types of commodities. Each row denotes an extracted time series that measures the number of times a commodity is purchased each day. Each column denotes a single day.
Note that the names of commodities in current data set are writen in Chinese.
DOI: 10.5281/zenodo.1265420
title: The Cad Walk Healthy Controls Dataset

description: This dataset contains the raw dynamic plantar pressure measurements of 55 healthy Dutch individuals collected at Sint Maartenskliniek, Nijmegen. For each individual, 24 dynamic plantar pressure measurements were collected from both feet. Also collected are walking speeds for each plantar pressure measurements, and demographic information of all individuals measured (age, height, weight, shoe size, sex, handedness, leg dominance).

For more information, please see the Readme.pdf file accompanying this dataset.
description: This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 746614.