cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1209376.10fu
title: SH1209376.10FU

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/sh1209379.10fu
title: SH1209379.10FU

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/sh1209380.10fu
title: SH1209380.10FU

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/sh1209381.10fu
title: SH1209381.10FU

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/sh1209386.10fu
title: SH1209386.10FU

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/sh1209393.10fu
title: SH1209393.10FU

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/sh1209395.10fu
title: SH1209395.10FU

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/sh1209396.10fu
title: SH1209396.10FU

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.mjqhzk
title: Occurrence Download

description: A dataset containing 96219 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is International Barcode of Life project (iBOL)",
 "MediaType is Image",
 "TaxonKey is Formicidae"
 ]
}

 The dataset includes 96219 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009732-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17603/ds2-62zy-zh93
title: Maternal Health Equity Linked Datasets

description: This project links a variety of datasets at the geographic FIPS (county) level to enable maternal health equity research. Data cover a multi-year period across the United States, allowing research and comparison in steady state as well as disasters. Data include demographics, social vulnerability index, hospital utilization for pregnancy-related diagnoses, and travel time to hospitals with varying levels of obstetrics care. Researchers, healthcare providers, and health policy experts can use the data to identify needs and interventions to improve maternal morbidity and mortality, health outcomes, and healthcare utilization related to maternal health equity. The project is unique in that nationwide data are linked for the first time and made publicly available for research. While the majority of the data sources are publicly available, this is the first time they are linked to enable researchers to look broadly across usage/utilization. We also introduce a novel measure on travel time to hospitals/maternal care services for all counties/FIPS codes across the United States, which is only available in this dataset.
DOI: 10.15468/dl.vm3qky
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eremophea aggregata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 18 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009760-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hj4syf
title: Occurrence Download

description: A dataset containing 330543 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "Country is Colombia",
 "GadmGid is COL.12_2",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Animalia",
 "Year 2000-2026"
 ]
}

 The dataset includes 330543 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009706-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18471207
title: Data for: Fast ultra-selective 1H-15N 1D NMR spectroscopy unlocks atom-resolved dynamics of low-complexity protein regions

description: Insight into the conformational dynamics of proteins is essential towards understanding their function at a molecular level. The motions experienced by individual atoms in the protein can be precisely quantified through NMR relaxation rates, but their measurement requires well-resolved spectral responses. Two-dimensional 1H‑15N correlation spectra are the standard approach to resolve amide signals in protein NMR, but come with an excessive cost in experimental time when spectra are heavily congested due to limited 15N chemical shift dispersions. This limitation often thwarts complete characterization of dynamics for intrinsically disordered proteins, especially when they feature low-complexity or homopolymer amino acid sequences. Here, we introduce an ultra-selective 1H-15N NMR method that allows high-quality measurement of individual 15N spin-relaxation constants using fast 1D NMR spectra, even when 15N resonances are merely 6-8 Hz apart. We demonstrate the new experiment by characterizing, for the first time, pico- to nanosecond dynamics along a 16‑residue polyglutamine stretch within the protein huntingtin, the causal agent of Huntington’s disease, as well as millisecond conformational exchange in the SH3GL3 protein. The new experiment will find wide application in the study of conformational dynamics of intrinsically disordered proteins or any other biomacromolecule that features highly dense 1H-15N 2D spectra.

This deposit contains Bruker pulse sequences of the SNIPER 15N R1, SNIPER 15N R1rho, SNIPER 1H-15N nOe and SNIPER zz-exchange experiments, pulse shapes used, and the NMR experimental data (Bruker format). See the Data_overview.pdf file for a more detailed description.

Version 2 : Additional data has been added concerning part 3 of the Supplementary Information.
DOI: 10.5281/zenodo.16489355
title: Data for: Fast ultra-selective 1H-15N 1D NMR spectroscopy unlocks atom-resolved dynamics of low-complexity protein regions

description: Insight into the conformational dynamics of proteins is essential towards understanding their function at a molecular level. The motions experienced by individual atoms in the protein can be precisely quantified through NMR relaxation rates, but their measurement requires well-resolved spectral responses. Two-dimensional 1H‑15N correlation spectra are the standard approach to resolve amide signals in protein NMR, but come with an excessive cost in experimental time when spectra are heavily congested due to limited 15N chemical shift dispersions. This limitation often thwarts complete characterization of dynamics for intrinsically disordered proteins, especially when they feature low-complexity or homopolymer amino acid sequences. Here, we introduce an ultra-selective 1H-15N NMR method that allows high-quality measurement of individual 15N spin-relaxation constants using fast 1D NMR spectra, even when 15N resonances are merely 6-8 Hz apart. We demonstrate the new experiment by characterizing, for the first time, pico- to nanosecond dynamics along a 16‑residue polyglutamine stretch within the protein huntingtin, the causal agent of Huntington’s disease, as well as millisecond conformational exchange in the SH3GL3 protein. The new experiment will find wide application in the study of conformational dynamics of intrinsically disordered proteins or any other biomacromolecule that features highly dense 1H-15N 2D spectra.

This deposit contains Bruker pulse sequences of the SNIPER 15N R1, SNIPER 15N R1rho, SNIPER 1H-15N nOe and SNIPER zz-exchange experiments, pulse shapes used, and the NMR experimental data (Bruker format). See the Data_overview.pdf file for a more detailed description.

Version 2 : Additional data has been added concerning part 3 of the Supplementary Information.
DOI: 10.5281/zenodo.16785938
title: Sample of posterior distributions of paper "Demographics of Close-In TESS Exoplanets Orbiting FGK Main-sequence Stars"

description: Sorry, this is an outdated version. Please use the updated version: https://zenodo.org/records/17804280
DOI: 10.5281/zenodo.16785937
title: Sample of posterior distributions of paper "Demographics of Close-In TESS Exoplanets Orbiting FGK Main-sequence Stars"

description: Sorry, this is an outdated version. Please use the updated version: https://zenodo.org/records/17804280
DOI: 10.15468/dl.yvgyxq
title: Occurrence Download

description: A dataset containing 15967 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Martes martes",
 "Year 1000-2000"
 ]
}

 The dataset includes 15967 records from 213 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009758-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18471156
title: Energy Storage Power Station Lithium-Ion Battery Real-World Operation Dataset

description: This dataset is collected from real-world operation of an energy storage power station and contains authentic monitoring data from a lithium-ion battery system under practical working conditions. The data are organized by files, where each file includes measurements from multiple individual cells. For each cell, the dataset provides time-series signals of key variables measured during operation, including current, voltage, and temperature. The dataset reflects realistic behaviors of an energy storage system under charging/discharging processes, power fluctuations, and varying operating environments, and can be used for research and applications such as battery state estimation, health assessment, fault diagnosis, thermal analysis, and data-driven modeling.
DOI: 10.5281/zenodo.18471056
title: Online repository for the Paper: Removing Experimenter Demand in the Measurement of Conditional Cooperation
DOI: 10.5281/zenodo.18471155
title: Energy Storage Power Station Lithium-Ion Battery Real-World Operation Dataset

description: This dataset is collected from real-world operation of an energy storage power station and contains authentic monitoring data from a lithium-ion battery system under practical working conditions. The data are organized by files, where each file includes measurements from multiple individual cells. For each cell, the dataset provides time-series signals of key variables measured during operation, including current, voltage, and temperature. The dataset reflects realistic behaviors of an energy storage system under charging/discharging processes, power fluctuations, and varying operating environments, and can be used for research and applications such as battery state estimation, health assessment, fault diagnosis, thermal analysis, and data-driven modeling.
DOI: 10.5281/zenodo.18471055
title: Online repository for the Paper: Removing Experimenter Demand in the Measurement of Conditional Cooperation
DOI: 10.5281/zenodo.18471284
title: STAMIKARBON TEXNOLOGIYASI ASOSIDAGI AK80 KARBAMID ISHLAB CHIQARISH JARAYONIDA TAYYOR MAHSULOTDAGI BIURET MIQDORINI 0,8 % GACHA KAMAYTIRISH USULLARINI TADQIQ ETISH

description: Ushbu maqolada Stamicarbon texnologiyasi asosidagi AK‑80 karbamid ishlab chiqarish jarayonida tayyor mahsulotdagi biuret miqdorini 0,8 % gacha kamaytirish usullari tadqiq etilgan. Ishlab chiqarish jarayonining asosiy bosqichlarida biuret hosil bo‘lish mexanizmi tahlil qilingan, texnologik parametrlarning mahsulot sifati va biuret tarkibiga ta’siri o‘rganilgan. Tadqiqot natijalari haroratni nazorat qilish, bug‘latish vaqtini optimallashtirish, mahsulotni tez sovutish, kristallanish jarayonini boshqarish va kimyoviy qo‘shimchalardan foydalanish orqali biuret miqdorini minimallashtirish imkoniyatlarini ko‘rsatadi. Natijalar AK‑80 tipidagi karbamid ishlab chiqarish liniyalarini optimallashtirish va yuqori sifatli mahsulot ishlab chiqarishda amaliy ahamiyatga ega.
DOI: 10.5281/zenodo.18471283
title: STAMIKARBON TEXNOLOGIYASI ASOSIDAGI AK80 KARBAMID ISHLAB CHIQARISH JARAYONIDA TAYYOR MAHSULOTDAGI BIURET MIQDORINI 0,8 % GACHA KAMAYTIRISH USULLARINI TADQIQ ETISH

description: Ushbu maqolada Stamicarbon texnologiyasi asosidagi AK‑80 karbamid ishlab chiqarish jarayonida tayyor mahsulotdagi biuret miqdorini 0,8 % gacha kamaytirish usullari tadqiq etilgan. Ishlab chiqarish jarayonining asosiy bosqichlarida biuret hosil bo‘lish mexanizmi tahlil qilingan, texnologik parametrlarning mahsulot sifati va biuret tarkibiga ta’siri o‘rganilgan. Tadqiqot natijalari haroratni nazorat qilish, bug‘latish vaqtini optimallashtirish, mahsulotni tez sovutish, kristallanish jarayonini boshqarish va kimyoviy qo‘shimchalardan foydalanish orqali biuret miqdorini minimallashtirish imkoniyatlarini ko‘rsatadi. Natijalar AK‑80 tipidagi karbamid ishlab chiqarish liniyalarini optimallashtirish va yuqori sifatli mahsulot ishlab chiqarishda amaliy ahamiyatga ega.
DOI: 10.5525/gla.researchdata.2154
title: Retrodiction of single photon emission rates from nanoscale light emitters in random, dynamic systems

description: **Please note that this dataset is made available in order to facilitate peer review and may be subject to updates**

Data used to construct all figures in the article.
DOI: 10.5281/zenodo.18471304
title: KARBAMID SEXIDA TEXNOLOGIK USKUNALAR ICHKI YUZASINI AGRESSIYADAN XIMOYALASH UCHUN PASSIVLASHTIRISHGA TEXNIK XAVO O'RNIGA XAVONI AJRATISH SEXIDA HOSIL BO'LADIGAN 99,9 %LI KISLOROD BERISH HISOBIGA TIZIMDA INERT GAZLARNI KAMAYTIRISH VA BOSIMNI MO'TADILLASHTI

description: Mazkur ilmiy maqolada karbamid ishlab chiqarish sexida texnologik uskunalar ichki yuzalarining agressiv muhit ta’sirida yemirilishining oldini olishga qaratilgan passivlashtirish jarayonini takomillashtirish masalalari yoritilgan. Tadqiqotda an’anaviy ravishda qo‘llaniladigan texnik havo o‘rniga havoni ajratish sexida hosil bo‘ladigan 99,9 % li yuqori tozalikdagi kisloroddan foydalanish imkoniyatlari ilmiy-texnik jihatdan asoslab berilgan. Ushbu yondashuv orqali tizimdagi inert gazlar miqdorini kamaytirish, texnologik bosimni mo‘tadillashtirish hamda metall yuzalarda barqaror passiv qatlam hosil bo‘lishiga erishish imkoniyati tahlil qilingan. Tadqiqot natijalari taklif etilayotgan texnologik yechim korroziya jarayonlarini sekinlashtirishi, uskunalar xizmat muddatini uzaytirishi va ishlab chiqarish jarayonining xavfsizligi hamda energiya samaradorligini oshirishga xizmat qilishini ko‘rsatadi. Maqola natijalari karbamid ishlab chiqarish korxonalarida passivlashtirish jarayonini takomillashtirish bo‘yicha amaliy ahamiyatga ega.
DOI: 10.5281/zenodo.18471305
title: KARBAMID SEXIDA TEXNOLOGIK USKUNALAR ICHKI YUZASINI AGRESSIYADAN XIMOYALASH UCHUN PASSIVLASHTIRISHGA TEXNIK XAVO O'RNIGA XAVONI AJRATISH SEXIDA HOSIL BO'LADIGAN 99,9 %LI KISLOROD BERISH HISOBIGA TIZIMDA INERT GAZLARNI KAMAYTIRISH VA BOSIMNI MO'TADILLASHTI

description: Mazkur ilmiy maqolada karbamid ishlab chiqarish sexida texnologik uskunalar ichki yuzalarining agressiv muhit ta’sirida yemirilishining oldini olishga qaratilgan passivlashtirish jarayonini takomillashtirish masalalari yoritilgan. Tadqiqotda an’anaviy ravishda qo‘llaniladigan texnik havo o‘rniga havoni ajratish sexida hosil bo‘ladigan 99,9 % li yuqori tozalikdagi kisloroddan foydalanish imkoniyatlari ilmiy-texnik jihatdan asoslab berilgan. Ushbu yondashuv orqali tizimdagi inert gazlar miqdorini kamaytirish, texnologik bosimni mo‘tadillashtirish hamda metall yuzalarda barqaror passiv qatlam hosil bo‘lishiga erishish imkoniyati tahlil qilingan. Tadqiqot natijalari taklif etilayotgan texnologik yechim korroziya jarayonlarini sekinlashtirishi, uskunalar xizmat muddatini uzaytirishi va ishlab chiqarish jarayonining xavfsizligi hamda energiya samaradorligini oshirishga xizmat qilishini ko‘rsatadi. Maqola natijalari karbamid ishlab chiqarish korxonalarida passivlashtirish jarayonini takomillashtirish bo‘yicha amaliy ahamiyatga ega.