cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0135810.10fu
title: SH0135810.10FU

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: 10.13145/bacdive147795.20251217.10
title: Bacillus pumilus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive147796.20241212.9.2
title: Lactobacillus curvatus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0135811.10fu
title: SH0135811.10FU

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: 10.13145/bacdive147796.20251217.10
title: Lactobacillus curvatus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0135812.10fu
title: SH0135812.10FU

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: 10.13145/bacdive147797.20241212.9.2
title: Enterococcus faecium

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive147797.20251217.10
title: Enterococcus faecium

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0135813.10fu
title: SH0135813.10FU

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: 10.13145/bacdive147798.20230509.8.1
title: Clostridium saudiense

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive147798.20251217.10
title: Clostridium saudiense

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0135814.10fu
title: SH0135814.10FU

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: 10.6084/m9.figshare.25750275
title: Driving Open Innovation in SMEs: The Role of Organizational and Strategic Dynamics

description: Primary data from small and medium-sized enterprises (SMEs) was collected through the administration of a survey. The survey targeted managers involved in the ownership or operation of businesses within various industries. This method was employed to directly gather firsthand information from SMEs for the research.
DOI: 10.6084/m9.figshare.25750275.v2
title: <b>A Multilevel Concurrent Mixed-Methods Investigation into SMEs Preferences and Challenges in Open Innovation Adoption</b>

description: Primary data from small and medium-sized enterprises (SMEs) was collected through the administration of a survey. The survey targeted managers involved in the ownership or operation of businesses within various industries. This method was employed to directly gather firsthand information from SMEs for the research.
DOI: 10.15468/dl.8ep63s
title: Occurrence Download

description: A dataset containing 29956 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 29956 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046600-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6z5mpbwyxf.1
title: Responses from survey carried out to investigate the interactions between the Eurasian beaver (Castor fiber) and the freshwater pearl mussel (Margaritifera margaritifera)

description: These data are the responses of participants in a survey designed to explore the interaction between the Eurasian beaver (Castor fiber) and the freshwater pearl mussel (Margaritifera margaritifera). Participants were invited to take part in this survey between 24/01/2023 and 05/07/2023. The introductory text below presented the scope of the survey to potential participants before they began answering questions.

Introduction
Why are we asking questions about beavers and freshwater pearl mussels (FPMs)? The number of beaver reintroductions in Britain and across Europe has increased significantly over the past decade, bringing unquestionable ecological and biodiversity benefits to reintroduction sites. 
What is less well understood are the potential issues that can arise when there is conflict between habitat changes brought about by beaver engineering, and the presence of other species of concern. One such interaction is between beavers and imperilled freshwater mussel species, particularly the freshwater pearl mussel (Margaritifera margaritifera) which is critically endangered across Europe and is also subject to its own reintroduction/population reinforcement activities in several European countries. 
What we are asking you to do: On the following pages you will be presented with a number of themed questions that relate to FPMs and beavers. When responding please consider ALL the sites you know. Please select the option that best reflects the extent to which you support or oppose the views expressed, and add your comments where possible. The survey should take you 10-15 minutes to complete. Your responses are anonymous; we will not collect any information that could be used to identify you, and whilst we do ask a few questions about you, we are only collecting general demographic to help interpret responses. 
Your participation is voluntary: Your participation in the study is entirely voluntary. You are free to withdraw from the study at any time without having to provide a reason for doing so. Data provided up to that point with be disregarded. Below we ask for your consent to participate in the survey and by giving your consent you are stating that you: have read and understood the information presented above about this study have been provided with contact details to ask further questions if needed and have been given sufficient information understand that you are free to withdraw from this study at any time, and without having to give a reason for withdrawal give permission for members of the research team to analyse and quote your anonymous responses.
If you would like any further information on the study or this survey, please contact Professor Ian Convery (ian.convery@cumbria.ac.uk) or Dr Louise Lavictoire (llavictoire@fba.org.uk).
DOI: 10.17632/r2n58xg54s.1
title: Nuclear-localized HKDC1 promotes hepatocellular carcinoma through phosphorylating RBBP5 to upregulate H3K4me3

description: Source data of western blot in the study.
DOI: 10.15125/bath-01362
title: Carbon Capability survey

description: This survey uses a nationally representative sample of UK households, and asks over 300 questions relating to climate change and carbon capability. The questions were designed to span key sources of household emissions: energy, transport, food and consumption, as well as other factors which contribute to individuals' carbon capability: influence on others, and citizenship behaviours.

It was conducted in March and April 2022, in two waves due to the large number of questions.
description: We commissioned survey agency Dynata to issue this large, two-wave survey to a representative panel of UK households.
description: Data is provided in SPSS format.
DOI: 10.15468/dl.y5kvp5
title: Occurrence Download

description: A dataset containing 298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Betula insignis Franch."
 ]
}

 The dataset includes 298 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046603-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xjfr3zg59v
title: Novel Laser Light Absorption Model MOOSE Input Files_Laser Ultrasonics

description: The input files used for performing simulations in MOOSE using a novel laser light absorption model that considers different optical penetration depth for different constituents of composite materials.
DOI: 10.17632/xjfr3zg59v.1
title: Novel Laser Light Absorption Model MOOSE Input Files_Laser Ultrasonics

description: The input files used for performing simulations in MOOSE using a novel laser light absorption model that considers different optical penetration depth for different constituents of composite materials.
DOI: 10.15468/dl.3enr5a
title: Occurrence Download

description: A dataset containing 90193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia"
 ]
}

 The dataset includes 90193 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046601-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cg3vwcc8j5.1
title: "SDSS-IV DR16 Quasar Catalog: Spectroscopic Data for Quasar Analysis and Classification"

description: Research Hypothesis
The primary hypothesis of this research is that deep learning techniques, specifically convolutional neural networks (CNNs), can effectively classify quasars into Broad Absorption Line (BAL) and non-BAL categories based on the spectroscopic data provided by the Sloan Digital Sky Survey (SDSS) IV DR16. Given that the SDSS dataset includes a wide range of quasar observations with varying spectral characteristics, it is hypothesized that machine learning methods, when trained on sufficiently large and diverse data, can achieve high classification accuracy in differentiating between these two types of quasars.

Description of the Data
The data comes from the SDSS-IV DR16 Quasar Catalog (DR16Q), which is part of the SDSS’s ongoing observational efforts to create detailed astronomical catalogs. DR16Q provides spectroscopic measurements for over 750,000 quasars, with more than 920,000 individual observations spanning a spectral range from 3600 Å to 10400 Å, with a resolution of approximately 2000. These quasars have been classified based on their spectral features, and the dataset contains valuable information such as redshift values, spectral fluxes, and other relevant astrophysical parameters.

The dataset includes key features:

Spectral Wavelengths: Range from 3600 Å to 10400 Å.
Spectral Resolution: Approximately 2000.
Quasar Classification: Information about whether the quasar is classified as a Broad Absorption Line (BAL) quasar or a non-BAL quasar.
Observational Data: Quasar magnitudes, flux densities, and redshift values.
Data Gathering Process
The SDSS-IV DR16 dataset was obtained through the SDSS collaboration's use of telescopes at Apache Point Observatory (APO) and Las Campanas Observatory (LCO). The data was collected using the Sloan Foundation 2.5-meter telescope and the DuPont 2.5-meter telescope, with the aim of mapping a wide variety of astronomical objects, including quasars. The quasar spectral data in this dataset is from the SDSS-IV's extended Baryon Oscillation Spectroscopic Survey (eBOSS), which focuses on obtaining accurate redshifts and spectral characteristics of quasars.

The DR16Q catalog was publicly released in 2020, and includes spectroscopic data of quasars observed during the SDSS-IV phase of the survey. It represents the final catalog of the SDSS-IV/eBOSS era and is the largest such collection of quasars to date.
Because the original data is too large, it is about 260Gb. Therefore, only some of the data samples are uploaded here
DOI: 10.15468/dl.wt7rdj
title: Occurrence Download

description: A dataset containing 2908878 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Honduras",
 "OccurrenceStatus is Present",
 "Year 2000-2022"
 ]
}

 The dataset includes 2908878 records from 257 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046595-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zv8a88
title: Occurrence Download

description: A dataset containing 133823042 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "Year is 2023"
 ]
}

 The dataset includes 133823042 records from 461 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046587-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/d2n5ckgjzv.1
title: data tourism research

description: dataset contain raw data for the tourism research
DOI: 10.6084/m9.figshare.28079117
title: Genetic analysis of yield and yield traits in adapted finger millet germplasm Data.xlsx

description: A Line*Tester combining ability study involving 5 farmer preferred lines and two adapted high yielding testers, which sought to dissect the genetic architecture of finger millet. The study was carried over two seasons; in the first season hybridization was carried and in the second season confirmed F1 hybrid plants were evaluated for combing ability and heterosis at Lupane State University in Zimbabwe.
DOI: 10.17632/csp27bwjbt.1
title: Primary survey data

description: it contains data on primary analysis on Indian consumers pertaining to a study based on 6 D.V. and 1 I.V.
DOI: 10.5281/zenodo.14351430
title: Supporting Files for PCCP
DOI: 10.5281/zenodo.14526112
title: Total cell N-glycosylation is altered during differentiation of induced pluripotent stem cells to neural stem cells and is disturbed by trisomy 21 - raw data

description: To better understand how T21 affects N-glycosylation during neural differentiation, we comprehensively characterized and compared the total N-glycomes of induced pluripotent stem cells (iPSCs) and their neural stem cell (NSC) derivatives. We utilized an isogenic in vitro model of T21 in which both T21 and euploid disomic karyotype (D21) clones were obtained from a single individual with mosaic DS. N-glycomics analysis of whole cell lysates was performed using liquid chromatography coupled with tandem mass spectrometry to determine proposed N-glycan structures. Here we upload the raw data files for the analysis.
DOI: 10.5281/zenodo.14526113
title: Total cell N-glycosylation is altered during differentiation of induced pluripotent stem cells to neural stem cells and is disturbed by trisomy 21 - raw data

description: To better understand how T21 affects N-glycosylation during neural differentiation, we comprehensively characterized and compared the total N-glycomes of induced pluripotent stem cells (iPSCs) and their neural stem cell (NSC) derivatives. We utilized an isogenic in vitro model of T21 in which both T21 and euploid disomic karyotype (D21) clones were obtained from a single individual with mosaic DS. N-glycomics analysis of whole cell lysates was performed using liquid chromatography coupled with tandem mass spectrometry to determine proposed N-glycan structures. Here we upload the raw data files for the analysis.
DOI: 10.15468/dl.xzpdru
title: Occurrence Download

description: A dataset containing 14374 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Platalea minor Temminck & Schlegel, 1849"
 ]
}

 The dataset includes 14374 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046606-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/swm7gd67j2.1
title: Tingjiang river of China

description: Rainfall and runoff data above Shanghang Railway Station section in Tingjiang River Basin, China
DOI: 10.15468/dl.zjdnee
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-32.57604 22.49735,-5.93063 22.49735,-5.93063 38.16512,-32.57604 38.16512,-32.57604 22.49735))",
 "TaxonKey is Oneirodes myrionemus Pietsch, 1974"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046610-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14546460
title: Voice cloning with multi-head self-attention and bidirectional long short-term memory network-enhanced normalizing flows
DOI: 10.15468/dl.dh7gfw
title: Occurrence Download

description: A dataset listing the 583 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "Geometry POLYGON((4.90254 47.22558,5.17929 47.22558,5.17929 47.41921,4.90254 47.41921,4.90254 47.22558))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2024-2024"
 ]
}

 The dataset's 583 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046604-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5251fx6m
title: MassIVE MSV000096724 - GNPS - 20241223_ChemProp2_Non-targeted Metabolomics of Xenobiotic Biotransformations using synthetic gut bacterial community
title: ChemProp2 Dataset: Investigating potential biotransformations with a panel of 23 Drugs on Synthetic Community (Com20) to elucidate Drug-Microbiome-Host Dynamics
DOI: 10.17632/s9mt3tmrrw.1
title: Impact of Instagram Influencer on consumer buying behaviour

description: This data contains the responses of 391 respondents.
DOI: 10.17632/t9879b6rcs.1
title: 公共卫生支出

description: Public health expenditure datasets typically include detailed information related to the allocation and utilization of funds in the health sector. These datasets are often used for health policy development, economic research, public health planning, and international comparisons, with analysis methods such as trend analysis, spatial comparison, and efficiency evaluation.