cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh637663.07fu
title: SH637663.07FU

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: 10.25549/one-ouc12263682
title: Unknown
DOI: 10.15156/bio/sh637664.07fu
title: SH637664.07FU

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/sh637665.07fu
title: SH637665.07FU

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/sh637666.07fu
title: SH637666.07FU

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/sh637667.07fu
title: SH637667.07FU

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/sh637668.07fu
title: SH637668.07FU

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/sh637669.07fu
title: SH637669.07FU

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: 10.25549/one-ouc12263683
title: Unknown
DOI: 10.15156/bio/sh637670.07fu
title: SH637670.07FU

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: 10.34740/kaggle/dsv/5966177
title: Pypi sython panda
DOI: 10.5281/zenodo.8053166
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Felix von Luschan, http://www.wikidata.org/entity/Q114416. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q114416
DOI: 10.5281/zenodo.8053165
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Felix von Luschan, http://www.wikidata.org/entity/Q114416. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q114416
DOI: 10.5281/zenodo.8053170
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Henry Herbert Lyman, http://www.wikidata.org/entity/Q64164071. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q64164071
DOI: 10.5281/zenodo.8053172
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Inger Anne Lysebraate, http://www.wikidata.org/entity/Q107541973. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q107541973
DOI: 10.5281/zenodo.8053171
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Inger Anne Lysebraate, http://www.wikidata.org/entity/Q107541973. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q107541973
DOI: 10.5281/zenodo.8053174
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Bjarne Lysholm, http://www.wikidata.org/entity/Q11961213. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q11961213
DOI: 10.5281/zenodo.8053173
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Bjarne Lysholm, http://www.wikidata.org/entity/Q11961213. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q11961213
DOI: 10.5281/zenodo.8053176
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Lars Levi Læstadius, http://www.wikidata.org/entity/Q434939. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q434939
DOI: 10.5281/zenodo.8053175
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Lars Levi Læstadius, http://www.wikidata.org/entity/Q434939. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q434939
DOI: 10.5281/zenodo.8053178
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Aasulv Løddesøl, http://www.wikidata.org/entity/Q11956764. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q11956764
DOI: 10.5281/zenodo.8053177
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Aasulv Løddesøl, http://www.wikidata.org/entity/Q11956764. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q11956764
DOI: 10.5281/zenodo.8053180
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Sverre Løkken, http://www.wikidata.org/entity/Q101069427. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q101069427
DOI: 10.5281/zenodo.8053179
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Sverre Løkken, http://www.wikidata.org/entity/Q101069427. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q101069427
DOI: 10.34740/kaggle/dsv/5966213
title: COVID-19 Global Scientists Response Dataset
DOI: 10.5281/zenodo.8053184
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by John Winslow MacSwain, http://www.wikidata.org/entity/Q21395256. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21395256
DOI: 10.5281/zenodo.8053186
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Arne Magnus, http://www.wikidata.org/entity/Q107746706. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q107746706
DOI: 10.5281/zenodo.8053185
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Arne Magnus, http://www.wikidata.org/entity/Q107746706. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q107746706
DOI: 10.5281/zenodo.8053190
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Thomas Douglas Maitland, http://www.wikidata.org/entity/Q21519812. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21519812
DOI: 10.5281/zenodo.8053189
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Thomas Douglas Maitland, http://www.wikidata.org/entity/Q21519812. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21519812
DOI: 10.4227/05/53b2034ba9453
title: A Survey of Animal Telemetry Projects Undertaken Throughout Australasia
DOI: 10.6084/m9.figshare.19253387
title: Predicted_Conductivity_Ionic_Liquids

description: Conductivity of ionic liquids predicted by Multiple Linear Regression with Expectation Maximization (MLREM) and Baysian Regularized Artificial Neural Networks with Laplacian Prior (BRANNLP)
DOI: 10.6084/m9.figshare.19253387.v1
title: Predicted_Conductivity_Ionic_Liquids

description: Conductivity of ionic liquids predicted by Multiple Linear Regression with Expectation Maximization (MLREM) and Baysian Regularized Artificial Neural Networks with Laplacian Prior (BRANNLP)
DOI: 10.18120/4v39-zh66
title: test
DOI: 10.18120/xrd0-xk29
title: test1
DOI: 10.18120/th18-1t84
title: test1
DOI: 10.18120/8qz3-j841
title: test1
DOI: 10.18120/xyb9-1c94
title: test1
DOI: 10.5281/zenodo.6318071
title: STATA do file for "Economic shocks predict increases in child wasting prevalence" in Nature Communications

description: This is a STATA v16 do file for the study "Economic shocks predict increases in child wasting prevalence" published in Nature Communications in 2022. To access the study data - which is not open access - please email Dr. Derek Headey at d.headey@cgiar.org
DOI: 10.6084/m9.figshare.19252364
title: Supplemental Table S1 for Pathogenic copy number and sequence variants in children born SGA with short stature without imprinting disorders

description: Supplemental Table showing the list of genes relate to growth failure and/or skeletal dysplasia described in the current paper by Hara-Isono K.
DOI: 10.6084/m9.figshare.19252364.v1
title: Supplemental Table S1 for Role of pathogenic copy number and sequence variants in children born SGA with short stature without imprinting disorders

description: Supplemental Table showing the list of genes relate to growth failure and/or skeletal dysplasia described in the current paper by Hara-Isono K.
DOI: 10.6084/m9.figshare.18666395
title: public data

description: adrenal gland volumetry
DOI: 10.6084/m9.figshare.18666395.v2
title: public data

description: adrenal gland volumetry
DOI: 10.6084/m9.figshare.18666395.v1
title: public data

description: the date of adrenal gland volumetry in patients with primary aldosteronism and healthy controls.
DOI: 10.25345/c52v2cb8d
title: MassIVE MSV000088933 - Phase 3_ 92 china teeth samples
title: LC-MS/MS spectra were collected from the extracts of 92 human teeth powders.
DOI: 10.6084/m9.figshare.19253594
title: Data.xls

description: Near-surface (10 m) wind speed (NWS) plays a crucial role in many areas, including the hydrological cycle, wind energy production, and the dispersion of air pollution. Based on wind speed data from Tazhong and the northern margins of the Taklimakan Desert in Xiaotang in spring, summer, autumn, and winter of 2014 and 2015, statistical methods were applied to determine the characteristics of the diurnal changes in wind speed near the ground and the differences in the wind speed profiles between the two sites. The average wind speed on a sunny day increased slowly with height during the day and rapidly at night. At heights below 4 m the wind speed during the day was higher than at night, whereas at 10 m the wind speed was lower during the day than at night. The semi-empirical theory and Monin-Obukhov (M-O) similarity theory were used to fit the NWS profile in the hinterland of the Tazhong Desert. A logarithmic law was applied to the neutral stratification wind speed profile, and an exponential fitting correlation was used for non-neutral stratification. The more unstable the stratification, the smaller the n. Using M-O similarity theory, the “linear to tens of” law was applied to the near-neutral stratification. According to the measured data, the distribution of with stability was obtained. The was obtained when the near-surface stratum was stable in the hinterland of Tazhong Desert and the was obtained when it was unstable. In summer, and were 5.84 and 15.1, respectively, while in winter, and were 1.9 and 27.1, respectively.
DOI: 10.6084/m9.figshare.19193792
title: Data

description: Source data to support the results we reported in both manuscript and supplementary information
DOI: 10.6084/m9.figshare.19193792.v1
title: Data

description: Source data to support the results we reported in both manuscript and supplementary information
DOI: 10.25345/c5z31nq3b
title: MassIVE MSV000088934 - Going BEEyond: Philippine Forest Honey Dataset
title: Dataset includes honey from: Cagayan (A. dorsata, Lauan species) Batangas (Stingless honey bee) Quezon (Pigteponen, Apis dorsata) Kalatagbak, Quezon Municipality, Palawan (Apis dorsata) Isugod, Quezon Municipality, Palawan (Apis dorsata) Quezon Municipality, Palawan (Apis cerana) Zambales (Apis dorsata) Occidental Mindoro (Apis dorsata) Oriental Mindoro (Apis dorsata) Polilio Island (Apis dorsata) Negros Island (Apis dorsata) Stingless Honey (from NTFP-EP)
DOI: 10.5281/zenodo.5794571
title: Data for Jucker and Goyal, Ozone-forced Southern Annular Mode during Antarctic Stratospheric Warming Events, Geophysical Research Letters 2022

description: Data from climate model simulations and reanalysis which were analysed in associated paper. Read README.md file for detailed information on each file.
DOI: 10.25919/e11n-q040
title: Mid Infrared Spectral Reference Library

description: This is CSIRO's first MIR (mid infrared) spectral library (MIR SRL 1.0) which comprises reflectance spectra (1300 - 16,700 nm) of 169 mineral samples. This suite of 169 spectra was selected from data from over 800 samples which were assessed for spectral purity and where available, mineralogical purity based on independate validation data. The resulting MIR SRL 1.0 collection comprises representatives from the following mineral groups: iron oxides (4), carbonates (10), sulfates (5), apatites (3), wolframates and scheelites (4), phenakites and olivines (4), garnets (6), Al2SiO5 polymorphs (4), sorosilicates including epidote, pumpellyite and vesuvianite (4), cyclosilicates including beryl and tourmaline (3), pyroxenes (15), pyroxenoids (5), amphiboles (3), phyllosilicates including kaolin, serpentine, mica, pyrophyllite, talc, smectite, prehnite, petalite, palygorskite and sepiolite (64), quartz (3), feldspars (19), scapolites (3) and mixed mineral assemblages (4).
DOI: 10.6084/m9.figshare.19241973
title: Evaluating the effectiveness of integrating digital technology into orthodontic cephalometric measurement teaching

description: The original results of the pedagogical experiments integrating the digital technology into the cephalometric measurement teaching.