cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0200415.10fu
title: SH0200415.10FU

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/sh0200416.10fu
title: SH0200416.10FU

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/sh0200417.10fu
title: SH0200417.10FU

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/sh0200418.10fu
title: SH0200418.10FU

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/sh0200419.10fu
title: SH0200419.10FU

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/sh0200420.10fu
title: SH0200420.10FU

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/sh0200421.10fu
title: SH0200421.10FU

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/sh0200422.10fu
title: SH0200422.10FU

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/dl.aawjqr
title: Occurrence Download

description: A dataset containing 8884 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Rana Linnaeus, 1758"
 ]
}

 The dataset includes 8884 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009436-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q89azd
title: Occurrence Download

description: A dataset containing 498548 species occurrences available in GBIF matching the query:
{
 "GadmGid" : [
 "is Z01"
 ]
}

 The dataset includes 498548 records from 253 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001778-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14878155
title: INTELLEKTUAL MULK HUQUQINI HIMOYA QILISH INNOVATSION IQTISODIYOTNI RIVOJLANTIRISHNING MUHIM OMILI SIFATIDA
DOI: 10.5281/zenodo.14878156
title: INTELLEKTUAL MULK HUQUQINI HIMOYA QILISH INNOVATSION IQTISODIYOTNI RIVOJLANTIRISHNING MUHIM OMILI SIFATIDA
DOI: 10.5281/zenodo.14878162
title: Ultralow Velocity Zones at the Core-mantle boundary in the Subduction Regions Revealed by ScP Waveform Complexities

description: This dataset consists of waveform data from 17 events used in the study.
DOI: 10.5281/zenodo.14878163
title: Ultralow Velocity Zones at the Core-mantle boundary in the Subduction Regions Revealed by ScP Waveform Complexities

description: This dataset consists of waveform data from 17 events used in the study.
DOI: 10.5281/zenodo.14878166
title: O'ZBEKISTONDA INNOVATSION IQTISODIYOTNI TAKOMILLASHTIRISHNING ME'YORIY-HUQUQIY ASOSLARI
DOI: 10.5281/zenodo.14878167
title: O'ZBEKISTONDA INNOVATSION IQTISODIYOTNI TAKOMILLASHTIRISHNING ME'YORIY-HUQUQIY ASOSLARI
DOI: 10.5281/zenodo.14875863
title: Global Hourly Seamless Aerosol Optical Depth Dataset (2009) at 0.05°×0.05° Resolution

description: This dataset was producted based on MERRA-2 AOD, MODIS MAIAC AOD.
DOI: 10.5281/zenodo.14875864
title: Global Hourly Seamless Aerosol Optical Depth Dataset (2009) at 0.05°×0.05° Resolution

description: This dataset was producted based on MERRA-2 AOD, MODIS MAIAC AOD.
DOI: 10.5281/zenodo.14878176
title: INNOVATSIYANING MOHIYATI VA UNGA OID TUSHUNCHALAR TALQINI
DOI: 10.5281/zenodo.14878177
title: INNOVATSIYANING MOHIYATI VA UNGA OID TUSHUNCHALAR TALQINI
DOI: 10.5281/zenodo.14878174
title: Ultralow Velocity Zones at the Core-Mantle Boundary in the Subduction Regions Revealed by ScP waveform Complexities

description: This dataset consists of original waveform data from 17 events used in the study.
DOI: 10.5281/zenodo.14878175
title: Ultralow Velocity Zones at the Core-Mantle Boundary in the Subduction Regions Revealed by ScP waveform Complexities

description: This dataset consists of original waveform data from 17 events used in the study.
DOI: 10.5281/zenodo.14878190
title: YASHIL IQTISODIYOTDA BARQAROR RIVOJLANISH VA EKOLOGIK MENEJMENTNING AHAMIYATI
DOI: 10.5281/zenodo.14878191
title: YASHIL IQTISODIYOTDA BARQAROR RIVOJLANISH VA EKOLOGIK MENEJMENTNING AHAMIYATI
DOI: 10.21227/r3s3-w304
title: Upper Limb EMG

description: This study explores the potential of electromyography (EMG) decoding to enhance motor function outcomes, focusing on developing an innovative EMG-based hand movement classification system. Leveraging advanced signal processing and machine learning techniques, our objectives are twofold: (1) optimize EMG decoding performance through time-domain windowing, feature selection, and classifier optimization, and (2) assess the system's effectiveness in classifying 15 distinct finger movements. With a validation accuracy of 99.98%, this research contributes to the development of more accurate myoelectric control systems, improving rehabilitation outcomes and quality of life for individuals with neurological disorders.
DOI: 10.48320/58949082-0acf-45c7-9c9b-51ebbfaac62f
title: Trust in social and political institutions: public opinion in Ukraine (2012-2023)
DOI: 10.15468/go0am7
title: Bird Collection of Museum and Institute of Zoology PAS

description: The database of Aves includes information about specimens which are preserved in the Zoological Collection MIZ. Material was collected worldwide, identified to species level. Database includes data on historical materials collected during the expeditions in 19th century, for example by Branicki, Dybowski, Kalinowski, Chrostowski, Sztolzman. Bird collection comprises also type material, extinct and endangered taxa. The collection preserves eggs, mounted specimens and skins.
DOI: 10.25919/5bfe29ff807fb
title: Law Dome Ice Core 2000-Year CO2, CH4, N2O and d13C-CO2

description: Law Dome ice core (DSS, DSS0506, DE08 and DE08-2) and firn air (DE08-2 and DSSW20K) records of CO2, CH4 and N2O concentrations for the past 2000 years and d13C-CO2 for the past 1000 years. Law Dome location: The dome summit is as follows, individual cores are within about 25 km (see publications), 66°44'S, 112°50'E, 1390m elevation.
DOI: 10.3334/cdiac/cli.ndp026d
title: Cloud Climatology for Land Stations Worldwide, 1971-2009 (NDP-026D)

description: Surface synoptic weather reports for 39 years have been processed to provide a climatology of clouds for each of over 5000 land-based weather stations with long periods of record both day and night. For each station, this digital archive includes: multi-year annual, seasonal and monthly averages for day and night separately; seasonal and monthly averages by year; averages for eight times per day; and analyses of the first harmonic for the annual and diurnal cycles. Averages are given for total cloud cover, clear-sky frequency, and 9 cloud types: 5 in the low level (fog, St, Sc, Cu, Cb), 3 in the middle level (Ns, As, Ac) and one in the high level (all cirriform clouds combined). Cloud amounts and frequencies of occurrence are given for all types. In addition, non-overlapped amounts are given for middle and high cloud types, and average base heights are given for low cloud types. Nighttime averages were obtained by using only those reports that met an "illuminance criterion" (i.e., made under adequate moonlight or twilight), thus making possible the determination of diurnal cycles and nighttime trends for cloud types.The authors have also produced an online, gridded atlas of the cloud observations contained in NDP-026D. The Online Cloud Atlas containing NDP-026D data is available via the University of Washington.
DOI: 10.5281/zenodo.13895409
title: Daily Column average CO2 mapping combining OCO 3, GOSAT, and CAMS Data applying EOF and Deep learning from 2018 to 2023

description: Reconstructed XCO2 dataset based on multisource geoinformation 2018-2023
DOI: 10.5281/zenodo.6409309
title: Dynamics of global wetlands by TOPMODEL

description: Dynamics of global wetlands are closely linked to biodiversity conservation, hydrology, and greenhouse gas emissions. However, long-term time series of global wetland products are still lacking. Using a TOPMODEL-based diagnostic model, we produced an ensemble of 28 gridded maps of monthly global/regional wetland extent products at 0.25° × 0.25° spatial resolution based on four observation-based wetland products and seven reanalysis soil moisture datasets for the period 1980–2020. The parameters of the model are calibrated on grid-scale against four observation-based wetland products. Overall, our products can capture the spatial distributions, seasonal cycles, and interannual variabilities of observed wetland extent well, and also show a good agreement with satellite-based terrestrial water storage estimates. The resulting mean annual maximum global wetland area fluctuates within a range of 3.3–5.6 Mkm<sup>2</sup>. The long temporal coverage beyond the era of satellite datasets, the global coverage and the opportunity to provide real-time update from ongoing SM data make these products helpful for various applications such as analyzing the wetland-related methane emission.
DOI: 10.5281/zenodo.6791263
title: Casanovo data set and model weights

description: Benchmark multi-species data set with pre-processing and the pre-trained model weights used to generate results in "<em>De Novo</em> Mass Spectrometry Peptide Sequencing with a Transformer Model" Source code is available here.
DOI: 10.5519/qd.6i2mvbot
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (8 records)
DOI: 10.5676/dwd_gpcc/di_m_100
title: GPCC Drought Index Product (GPCC_DI) at 1.0°: Globally Gridded Drought Index with averaging periods 1,3,6,9,12,24,48 months
title: Gridded Monthly Drought Index

description: Summary: The Global Precipitation Climatology Centre drought index (GPCC_DI) is a combination of the Standardized Precipitation Index (SPI; McKee et al., 1993) in the DWD modification according to Pietzsch et al. (2011) and the Standardized Precipitation Evapotranspiration Index (SPEI) according to Vicento-Serrano et al. (2009). The 'First Guess Product' DOI:10.5676/DWD_GPCC/FG_M_100 is used as precipitation input data. For the monthly mean temperature data NOAA's Climate Prediction Center (CPC) Monthly Global Surface Air Temperature Data Set is utilized (Fan and van den Dool, 2008). The temperature data are applied to calculate the potential evapotranspiration (PET) according to Thornthwaite (1948). Parameters to calculate SPI and SPEI were referenced to 1961-1990. Due to the non-applicability of the gamma distribution for precipitation in arid regions the SPI can not be calculated there. On the other hand the PET can not be computed in cold regions applying the formula from Thornthwaite. Hence the GPCC_DI is calculated as the mean of the SPI and SPEI. If one of these indices can not be computed, the one available is used, yielding an almost global coverage of the GPCC_DI. The GPCC_DI is computed with averaging periods of 1, 3, 6, 9, 12, 24 and 48 months. The GPCC_DI has a spatial resolution of 1.0° latitude by longitude using gridded input data fields at the same resolution. To issue a monthly GPCC_DI product all seven averaging periods are compiled into one netCDF-file. The GPCC_DI is availabile for all months since January 2013.
description: General user recommendations: Users are referred to following gridded Global Precipitation Climate Centre (GPCC) products: GPCC Climatology 1951-2000 (GPCC_Clim) with high representativeness, for application as a reference, and for utilization of the anomaly interpolation method. GPCC Full Data Reanalysis (GPCC_FD) with high accuracy, for, e.g., verification of models, or for analysis of historic global precipitation, or for research concerning the global water cycle, e.g., trend and teleconnection analyses. GPCC Monitoring Product (GPCC_MP) with high availability and reasonable timeliness, for applications like calibration of satellite data, or early annual reporting. GPCC First Guess Product (GPCC_FG) with high timeliness, to be applied for, e.g., drought monitoring. GPCC First Guess Daily Product (GPCC_FG_D) with high timeliness, to be applied for, e.g., drought monitoring.
DOI: 10.5676/dwd_gpcc/mp_m_v4_100
title: GPCC Monitoring Product: Near Real-Time Monthly Land-Surface Precipitation from Rain-Gauges based on SYNOP and CLIMAT data
title: Gridded Monthly Totals

description: This is the GPCC Monitoring Product of monthly global land-surface precipitation based on the station database (SYNOP, CLIMAT) available via the Global Telecommunication System (GTS) of the World Meteorological Organization (WMO) at the time of analysis (2 months after end of an analysis month). This product contains the monthly totals on a regular latitude/longitude grid with a spatial resolution of 1.0° x 1.0° and 2.5° x 2.5°degrees. Interpolation is made on the anomalies from the GPCC Climatology V2011 in the corresponding resolutions (DOIs: http://dx.doi.org/10.5676/DWD_GPCC/Clim_M_V2011_100 and http://dx.doi.org/10.5676/DWD_GPCC/Clim_M_V2011_250). The temporal coverage of the dataset ranges from January 2007 until the month for which GTS data (SYNOP and CLIMAT) is available, i.e. 2 months after end of the analysis month due. The GPCC Monitoring Product is the in situ component to the satellite-gauge combined precipitation analyses of the Global Precipitation Climatology Product (GPCP) and the CPC Merged Analysis of Precipitation (CMAP). Moreover it supports regional climate monitoring and serves the land-surface complement to the Hamburg Ocean-Atmosphere Parameters and Fluxes from Satellite (HOAPS) data set.
DOI: 10.5676/eum_saf_cm/clara_avhrr/v001
title: CLARA-A1: CM SAF cLouds, Albedo and Radiation dataset from AVHRR data - Edition 1
title: Monthly Means / Daily Means / Pentad Means / Monthly Histograms

description: The CLARA-A1 dataset is a global dataset of cloud, surface albedo and surface radiation products derived from measurements of the Advanced Very High Resolution Radiometer (AVHRR) onboard the polar orbiting NOAA and Metop satellites. Monthly and daily mean products have been compiled over a time period of 28 years starting in 1982 and ending in 2009. Results are available for individual satellites as well as aggregated for all satellites. Results are provided on two types of grids: one global regular latitude-longitude grid with 0.25 degrees resolution and two equal-area grids covering the polar regions with 25 km resolution (products on the polar grids are restricted to cloud amount and surface albedo). Further extensions, e.g. single- and multi-parameter histograms, and subsets, e.g. daytime-only and night-time only results, are also included.
DOI: 10.6073/pasta/112812a4c1579a00b6bb6f7f26ab39fd
title: McMurdo Dry Valley Lake Levels

description: Lake Level measurements are carried out each austral summer season for the lakes of the McMurdo Dry Valleys, Antactica