cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16895188.v1
title: April 2021 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>April, 2021</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.3535/k6q-pvh-75b
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ksx-7sz-nyp
title: limestone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/b5sx33fvrz
title: Extroversion, speed-accuracy tradeoff and gaze behavior

description: Gaze behavior & motor performance; hand kinematics (acelerometer).
DOI: 10.3535/y2c-hj4-1ac
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/rhznzkmb5z
title: Does the Segregation of Wood Waste from Amazonia Improve the Quality of Charcoal Produced in Brick Kilns?

description: Data on the physical, mechanical, and chemical properties of charcoal from wood wastes from sustainable forest management, segregated and non-segregated. In addition, carbonization indices. These data were used in the elaboration of an article submitted to BioEnergy Research, whose title is the same as this database.
DOI: 10.3535/haz-0j0-vlr
title: Chondrites

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/j8h-n6z-5h1
title: mudstone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.20410653.v1
title: NIX_SIMBIG2022

description: Pre-processed dataframe with digital color measurements on Nix Mini and soil organic carbon with Walkley & Black methodology.
DOI: 10.3535/1z4-rk7-m9w
title: Lingulidae Menke, 1828

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/3gw-za0-ndl
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/0th-585-p31
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/fce-m4m-1bh
title: Ichnofossils

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/4c3-nfw-9he
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/xnx-5la-z3d
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/9r6sp5y5b7
title: MOST MEASUREMENTS OF EQUINE FOOT PARAMETERS ARE NOT SIGNIFICANTLY DIFFERENT BETWEEN RADIOGRAPHS AND LOW-FIELD MAGNETIC RESONANCE IMAGES

description: The data include raw measurements and spreadsheets containing statistical analyses.
DOI: 10.3535/b6t-bgb-0bw
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/zqx-tcv-4cc
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.28401224.v2
title: Tabla 4.Impacto del perfil demográfico sobre las AMI.

description: Relación entre el perfil de la muestra seleccionada y las dimensiones AMI.PD
DOI: 10.17632/783m2r6y6m
title: Dataset for sexual and reproductive health literacy and service utilization among young people in southwest Nigeria

description: The dataset contains the data of 1096 young adults who were assessed for their levels of sexual and reproductive health literacy (SRHL) and the utilization of SRH services. 
Background information obtained include age, religion, and educational status, among others. The history of sexual activity was also elicited.
The SHRL was assessed with an adapted version of the standardises validated health literacy questionnaire (HLQ) which have 44 questions (HLQ1 – HLQ44). Responses to HLQ1 to 23 are scored on a 4-point likert scale ranging from “strongly agree”(1) to “strongly agree”(4) while responses to HLQ24 to 44 were scored on a 5-point likert scale from ‘always difficult’(1) to ‘always easy’(5). 
The utilization of SRH services was assessed by asking if respondents has ever visited a health facility for SRH care (srh_utilization). Respondents ticked the specific SRH care or service they obtained from a list provided.
DOI: 10.3535/4h2-kc4-knx
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/yky-wle-cxc
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/752-xj7-k6w
title: Platycladus Spach

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/f9n-vnh-hk7
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15482/usda.adc/1471536
title: USDA/ARS Kimberly, ID - Furrow Infiltration and Erosion Data, 1998 to 2016
DOI: 10.3535/85a-f3z-l0m
title: limestone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/w9e-bky-4ss
title: Heliolites sp.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.24782688.v2
title: RNA-seq profiling of five different flower colors of <i>Torenia fournieri</i>

description: This dataset contains key characteristics about the RNA-seq analysis of <i>T. fournieri</i> for five different flower colors.
DOI: 10.6084/m9.figshare.5401936.v2
title: NTU Dataset Sample

description: The dataset provides a sample of direct crossing scenarios used in the paper - "Context Based Pedestrian Intention Prediction using Factored Latent Dynamic Conditional Random Fields" to appear in IEEE SSCI-2017
DOI: 10.3535/9wb-blj-4qj
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/eds-kl5-lsz
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/2ra-zk5-kma
title: Conochitina robusta Eisenack, 1959

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/h1y-3h5-x8b
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.1136081_d42
title: Ex2R18C1 PV25-1 from Synaptic molecular imaging in spared and deprived columns of mouse barrel cortex with array tomography.

description: This data represents repeated immunohistochemical staining and stripping (elution) cycles of an array tomography tissue ribbon from mouse barrel cortex following chessboard deprivation. Included are images from consecutive 70 nm serial sections aligned to produce a high-resolution volumetric reconstruction of a given antibody stain.
DOI: 10.17632/jfc3n6rwh3
title: Conjugated bile acids are depleted during hypertension, nutritional  rescue of which lowers blood pressure

description: Hypertension is the largest risk factor affecting global mortality. Despite available medications, uncontrolled hypertension is on the rise, whereby there is an urgent need to develop novel and sustainable therapeutics. Because gut microbiota is now recognized as an important entity in blood pressure regulation, one such new avenue is to target the gut-liver axis wherein metabolites are transacted via host-microbiota interactions. Knowledge on which metabolites within the gut-liver axis regulate blood pressure is largely unknown. To address this, we analyzed bile acid profiles of both human and hypertensive rat models and report that conjugated bile acids are inversely correlated with blood pressure in humans and rats. Notably, intervening with taurine rescued bile acid conjugation and reduced blood pressure in hypertensive rats. Subsequently, untargeted metabolomics uncovered lower energy metabolism following conjugation of bile acids as a mechanism alleviating high blood pressure. Together, this work reveals conjugated bile acids as nutritionally re-programmable anti-hypertensive metabolites.
DOI: 10.3535/90w-e5a-1ap
title: Conochitina elegans Eisenack, 1931

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/f20-ddg-86w
title: Conochitina robusta Eisenack, 1959

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/fsr-pyh-l26
title: Conochitina micracantha ssp. n.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/xqk-40n-xlc
title: Fungochitina fungiformis (Eisenack, 1931)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/9wc-ec7-dym
title: Conochitina robusta Eisenack, 1959

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/yr0-9tj-zct
title: Conochitina robusta Eisenack, 1959

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/h5rgp6j9nv
title: Eastern Mediterranean charcoal industry: air pollution prevention

description: Charcoal production is still considered a polluting industry with a certain impact on global climate change. This traditional practice along the Eastern Mediterranean Sea shoreline exists since the iron age and was industrialized during the Ottoman Empire period, for fueling the Hijaz train engines. The charcoal production continued long after the Hijaz trainline ceased and gradually increased in magnitude, becoming a major environmental and health issue in the last couple of decades. In parallel to the regulatory actions aimed at stopping air pollution, the development of a new type of ecological charcoal production system involved cooperation between Palestinian charcoal manufacturers and Israeli researchers. This combined effort has led to the termination of air pollution through the implementation of the new system and the transformation of the land previously used for charcoal production into farming.
DOI: 10.3535/6dk-g2t-9f4
title: Conochitina elegans Eisenack, 1931

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/arb-z0g-llk
title: Conochitina micracantha Eisenack, 1931

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15468/dl.g7zwch
title: Occurrence Download

description: A dataset containing 141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Material sample, Living Specimen)",
 "Country is Colombia",
 "TaxonKey is Cyathea frigida (H.Karst.) Domin"
 ]
}

 The dataset includes 141 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005942-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4n8pn2
title: Occurrence Download

description: A dataset containing 1049 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vaccinium ovalifolium Sm.",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2010",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1049 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005943-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1101483.10fu
title: SH1101483.10FU

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/sh1101487.10fu
title: SH1101487.10FU

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/sh1101488.10fu
title: SH1101488.10FU

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/sh1101494.10fu
title: SH1101494.10FU

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/sh1101495.10fu
title: SH1101495.10FU

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/sh1101496.10fu
title: SH1101496.10FU

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/sh1101497.10fu
title: SH1101497.10FU

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/sh1101498.10fu
title: SH1101498.10FU

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/sh1101499.10fu
title: SH1101499.10FU

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/sh1101500.10fu
title: SH1101500.10FU

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.