cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0195101.10fu
title: SH0195101.10FU

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: 10.3886/e242854
title: Provisional drug overdose death counts for specific drugs

description: This data presents counts of provisional drug overdose deaths by selected drugs and U.S. Department of Health and Human Services (HHS) public health regions, based on provisional mortality data from the National Vital Statistics System. This data is limited to drug overdose deaths with an underlying cause of death assigned to International Statistical Classification of Diseases, 10th Revision (ICD-10) code numbers X40-X44 (unintentional), X60-X64 (suicide), X85 (homicide), or Y10-Y14 (undetermined intent). Specific drugs were identified using methods for searching literal text from death certificates.

The provisional data are based on a current flow of mortality data and include reported 12 month-ending provisional counts of drug overdose deaths by jurisdiction of occurrence and specified drug. Provisional drug overdose death counts presented on this page are for 12-month ending periods, defined as the number of deaths occurring in the 12-month period ending in the month indicated. For example, the 12-month ending period in June 2022 would include deaths occurring from July 1, 2021, through June 30, 2022. Evaluation of trends over time should compare estimates from year to year (June 2021 and June 2022), rather than month to month, to avoid overlapping time periods. It is important to note that the data represent counts of deaths, and not mortality ratios or rates, which are the standard measure used to compare groups, and therefore should not be used to determine populations at disproportionate risk of drug overdose death.
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description: (Downloaded 1/8/2026)
DOI: 10.15156/bio/sh0195102.10fu
title: SH0195102.10FU

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: 10.3886/e242854v1
title: Provisional drug overdose death counts for specific drugs

description: This data presents counts of provisional drug overdose deaths by selected drugs and U.S. Department of Health and Human Services (HHS) public health regions, based on provisional mortality data from the National Vital Statistics System. This data is limited to drug overdose deaths with an underlying cause of death assigned to International Statistical Classification of Diseases, 10th Revision (ICD-10) code numbers X40-X44 (unintentional), X60-X64 (suicide), X85 (homicide), or Y10-Y14 (undetermined intent). Specific drugs were identified using methods for searching literal text from death certificates.

The provisional data are based on a current flow of mortality data and include reported 12 month-ending provisional counts of drug overdose deaths by jurisdiction of occurrence and specified drug. Provisional drug overdose death counts presented on this page are for 12-month ending periods, defined as the number of deaths occurring in the 12-month period ending in the month indicated. For example, the 12-month ending period in June 2022 would include deaths occurring from July 1, 2021, through June 30, 2022. Evaluation of trends over time should compare estimates from year to year (June 2021 and June 2022), rather than month to month, to avoid overlapping time periods. It is important to note that the data represent counts of deaths, and not mortality ratios or rates, which are the standard measure used to compare groups, and therefore should not be used to determine populations at disproportionate risk of drug overdose death.
Read less
description: (Downloaded 1/8/2026)
DOI: 10.15156/bio/sh0195103.10fu
title: SH0195103.10FU

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/sh0195104.10fu
title: SH0195104.10FU

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/sh0195105.10fu
title: SH0195105.10FU

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/sh0195106.10fu
title: SH0195106.10FU

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/sh0195107.10fu
title: SH0195107.10FU

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/sh0195108.10fu
title: SH0195108.10FU

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: 10.5065/d61j981x
title: East-looking Cloud Videos from Mauna Kea. Version 1.0

description: This data set contains mpeg files from VHS tapes of east-looking cloud videos. The videos are from a stationary camera, set up on Mauna Kea, Hawaii to take am and pm videos of the clouds as a part of the Hawaiian Rainband Project (HaRP). The videos have 10:1 compression.
DOI: 10.5065/d6ws8rhs
title: HaRP: Electra Photography Right-looking Cloud Videos. Version 1.0

description: This dataset consists of mpg files from video tape (VHS) from flights of the NCAR Electra aircraft during the Hawaiian Rainband Project (HaRP). This dataset contains right-looking videos.
DOI: 10.5065/d6s180r9
title: Navigation, State Parameter, and Microphysics HRT Data in NetCDF format. Version 1.0

description: This data set includes airborne measurements obtained from the NCAR Research Aviation Facility (RAF) King Air aircraft (Tail Number: N312D) during the Particulate Airborne Inlet Research (PAIR) project. This dataset contains high rate navigation, state parameter, and microphysics flight-level data in NetCDF format.
DOI: 10.5065/d6n87810
title: Navigation, State Parameter, and Microphysics LRT Data in NetCDF format. Version 1.0

description: This data set includes airborne measurements obtained from the NCAR Research Aviation Facility (RAF) Sabreliner aircraft (Tail Number N307D) during the Spontaneous Ice Nucleation II (SPIN) project. This dataset contains low rate navigation, state parameter, and microphysics flight-level data in netCDF format.
DOI: 10.15468/dl.n7hpbd
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyrtococcum oxyphyllum",
 "Country is Samoa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035554-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5065/d6hh6hbq
title: Navigation, State Parameter, and Microphysics LRT Data in NetCDF format. Version 1.0

description: This data set includes airborne measurements obtained from the NCAR Research Aviation Facility (RAF) Sabreliner aircraft (Tail Number N307D) during the Chemical Layering in the Lower Stratosphere (CLLS) project. This dataset contains low rate navigation, state parameter, and microphysics flight-level data in netCDF format.
DOI: 10.15468/dl.uwwp87
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyrtococcum oxyphyllum",
 "Country is Solomon Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035555-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t662z7
title: Occurrence Download

description: A dataset containing 1333 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "StateProvince is one of (Putumayo)",
 "Elevation 1500-2300m",
 "GadmGid is one of (COL.24.9_2)"
 ]
 }
 ]
}

 The dataset includes 1333 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035553-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zrpbry
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyrtococcum oxyphyllum",
 "Country is Tonga",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035556-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.af67ka
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-71.63409 18.39911,-71.63004 18.21702,-71.24812 18.00629,-71.15128 18.37833,-71.63409 18.39911))",
 "TaxonKey is Anolis ricordii"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035557-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5065/d6cv4g08
title: WISP91: PAM-II Data. Version 1.0

description: This data set is a single tar file from 39 PAM stations deployed in southeast Wyoming, northeast Colorado and southwest Nebraskaduring the winter of 1991.
DOI: 10.5281/zenodo.17239947
title: РАҚАМЛИ ҲУКУМАТ ШАРОИТИДА ҲУҚУҚИЙ МАДАНИЯТ: ОЧИҚЛИК, ҲИСОБДОРЛИК ВА НОРМАТИВ РАҚАМЛАШТИРИШ ОРҚАЛИ КОРРУПЦИЯ ХАВФИНИ КАМАЙТИРИШ
DOI: 10.5281/zenodo.17239948
title: РАҚАМЛИ ҲУКУМАТ ШАРОИТИДА ҲУҚУҚИЙ МАДАНИЯТ: ОЧИҚЛИК, ҲИСОБДОРЛИК ВА НОРМАТИВ РАҚАМЛАШТИРИШ ОРҚАЛИ КОРРУПЦИЯ ХАВФИНИ КАМАЙТИРИШ
DOI: 10.5065/d6833q99
title: WISP91: CLASS Soundings. Version 1.0

description: Sounding data from he 1991 Winter Icing and Storms Project (WISP91) includes data from 6 fixed Cross-chain LORAN Atmospheric Sounding System (CLASS) instruments and one mobile CLASS system. Each location includes skew-t gif and postscript images, data in raw class and in raw ascii formats and analysis with images and ascii data. Data is ordered by location plus mobile CLASS data.
DOI: 10.5065/d64b2zkk
title: Navigation, State Parameter, and Microphysics HRT Data in NetCDF format. Version 1.0

description: This data set includes airborne measurements obtained from the NCAR Research Aviation Facility (RAF) King Air aircraft (Tail Number N312D) during the Mexico City Air Pollution study (MexCAPS) project. This dataset contains high rate navigation, state parameter, and microphysics flight-level data in netCDF format.
DOI: 10.34810/data1869
title: Replication data for "Predicting Transfer Learning Suitability in ANN-based Control of FOPDT Industrial Processes"

description: This data repository supports the in review publication titled "Predicting Transfer Learning Suitability in ANN-based Control of FOPDT Industrial Processes" part of the E-TROTLE project. This project is funded under MCIN/AEI/10.13039 /501100011033 project TED2021-129134B-I00 co-funded with the European Union ‘‘NextGenerationEU’’/PRTR funds. ETROTLE aims to develop data-driven control systems using transfer learning and optimization methods to enhance the operation of wastewater treatment plants (WWTPs), focusing on environmental impact and sustainability. This repository contains the data used in the obtention of the transferability metrics, which entails the ANN models and simulations, pid parameters and scalers.
description: This dataset provides the used data for obtaining the results presented in our publication. It includes MATLAB simulation files for PID tuning and control actuation, model weight dictionaries for baseline Artificial Neural Networks (ANNs) used for comparative analysis, MATLAB source code and models, and data scalers.
description: METHODOLOGICAL INFORMATION

1. Description of methods used for collection-generation of data: 
SIMULINK simulation jointly with our tuning functions allowed for selection of the PID parameters and obtention of the simulation vectors. Python for obtention of .h5 ANN models and posterior analysis of generated .csv with the data.

2. Instrument- or software- specific information needed to interpret the data:
We used MATLAB_2023a for the simulations and the usort2 tuning rules for the PIDs based on the process sets. Scheduled sampling framework for training the .h5 LSTM_FF networks.

ETROTLE_Dataset_TSM25_MAT_files: Contains necessary MATLAB data objects to run source MATLAB files for data generation.
ETROTLE_Dataset_TSM25_models: Includes the ANN models trained for the 10 FOPDT and 5 test FOPDT control processes that will be compared in terms of transferability.
ETROTLE_Dataset_TSM25_Scalers_5i_10fopdt and ETROTLE_Dataset_TSM25_Scalers_5i_extra5: Includes the scalers for the ANN data inputs and outputs used in training for all first-order processes. The scaling values are based on historical data, located in ETROTLE_Dataset_MAT_files under the 1st_order directory.
.m and .slx in the main directory: in order to obtain data for TSM_BOOST and TSM_DELTAS. Also to directly calculate TSM_COR and TSM_MI.
description: MATLAB_2023a, null
DOI: 10.5065/d60k26ts
title: COPS-91: PAM-II Data. Version 1.0

description: This dataset is a single tar file of data from 15 widely spaced PAM-II stations, seven of which were clustered near Norman, Oklahoma.
DOI: 10.5065/d6vt1qbh
title: KOFSE: Electra Photography Cloud Video. Version 1.0

description: This dataset contains hourly mpg movies from VHS videos taken from the Electra during KOFSE (Kuwait Oil-FIre Smoke Experiment) project. Each hour of mpg movie file is about 1.3 Gb in size.
DOI: 10.15468/dl.ehtbdm
title: Occurrence Download

description: A dataset containing 1483187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dactylis glomerata)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1483187 records from 4769 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035539-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9c4xvd
title: Occurrence Download

description: A dataset containing 920 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Caragana jubata (Pall.) Poir., Caragana microphylla Lam.)"
 ]
}

 The dataset includes 920 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021707-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4taht5
title: Occurrence Download

description: A dataset containing 7642 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Trachycarpus fortunei (Hook.) H.Wendl."
 ]
}

 The dataset includes 7642 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021705-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2jy1fz
title: CCDC 2351611: Experimental Crystal Structure Determination

description: Related Article: Chong Deng, Yihu Yang, Yi Wang, Wenliang Huang|2024|Inorg.Chem.Front.|11|7483|doi:10.1039/D4QI02026J
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.