cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0912556.10fu
title: SH0912556.10FU

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/sh0912557.10fu
title: SH0912557.10FU

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/sh0912558.10fu
title: SH0912558.10FU

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/sh0912559.10fu
title: SH0912559.10FU

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/sh0912560.10fu
title: SH0912560.10FU

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.7m8uag
title: Occurrence Download

description: A dataset containing 14977882 species occurrences available in GBIF matching the query:
{
 "and" : [
 "KingdomKey is Animalia",
 "DecimalLatitude is greater than 65"
 ]
}

 The dataset includes 14977882 records from 1729 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098092-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.12144423.v1
title: Additional file 14 of Novel insights into salinity-induced lipogenesis and carotenogenesis in the oleaginous astaxanthin-producing alga Chromochloris zofingiensis: a multi-omics study

description: Additional file 14: Data S12. RNA-seq data for genes involved in amino acid metabolism.
DOI: 10.6084/m9.figshare.12144402.v1
title: Additional file 11 of Novel insights into salinity-induced lipogenesis and carotenogenesis in the oleaginous astaxanthin-producing alga Chromochloris zofingiensis: a multi-omics study

description: Additional file 11: Data S9. RNA-seq data for genes involved in CO2 fixation and central carbon metabolism.
DOI: 10.6084/m9.figshare.12144432.v1
title: Additional file 16 of Novel insights into salinity-induced lipogenesis and carotenogenesis in the oleaginous astaxanthin-producing alga Chromochloris zofingiensis: a multi-omics study

description: Additional file 16: Data S14. RNA-seq data for genes encoding putative chaperones.
DOI: 10.6084/m9.figshare.12144429
title: Additional file 15 of Novel insights into salinity-induced lipogenesis and carotenogenesis in the oleaginous astaxanthin-producing alga Chromochloris zofingiensis: a multi-omics study

description: Additional file 15: Data S13. RNA-seq data for genes involved in protein metabolism.
DOI: 10.6084/m9.figshare.12144438
title: Additional file 17 of Novel insights into salinity-induced lipogenesis and carotenogenesis in the oleaginous astaxanthin-producing alga Chromochloris zofingiensis: a multi-omics study

description: Additional file 17: Data S15. RNA-seq data for genes encoding putative transcription factors.
DOI: 10.6084/m9.figshare.12144438.v1
title: Additional file 17 of Novel insights into salinity-induced lipogenesis and carotenogenesis in the oleaginous astaxanthin-producing alga Chromochloris zofingiensis: a multi-omics study

description: Additional file 17: Data S15. RNA-seq data for genes encoding putative transcription factors.
DOI: 10.17630/530b50cb-3a77-4256-b5fe-47917e7eaae6
title: Turn on of Sky-Blue Thermally Activated Delayed Fluorescence and Circularly Polarized Luminescence (CPL) via Increased Torsion by a Bulky Carbazolophane Donor (dataset)
DOI: 10.6084/m9.figshare.12144465
title: Additional file 6 of Novel insights into salinity-induced lipogenesis and carotenogenesis in the oleaginous astaxanthin-producing alga Chromochloris zofingiensis: a multi-omics study

description: Additional file 6: Data S4. KEGG pathway functional enrichment of DEGs.
DOI: 10.6084/m9.figshare.16869783.v1
title: Additional file 2 of Costs and staffing resource requirements for adaptive clinical trials: quantitative and qualitative results from the Costing Adaptive Trials project

description: Additional file 2. Resource template pre-revision.
DOI: 10.5066/p9bvsd5n
title: Age estimates of captured Black Carp (Mylopharyngodon piceus) using four calcified structures, 2017-2019

description: A total of 236 Black Carp were collected throughout the year from 2017-2019 by incidental captures of commercial fishers and biologists. Capture date, river basin of capture location, and coordinates were recorded for each Black Carp captured. A subsample of 119 Black Carp varying from 429-1268 millimeters total length were compared for the precision of annuli counts by two experienced readers for the ossified two anterior pectoral fin rays, the ossified anterior dorsal fin ray, sectioned vertebrae, and lapilli otoliths for selection of a single structure based on percent exact agreement, coefficient of variation, and age-frequency plots.
DOI: 10.5281/zenodo.10631727
title: Predicting the Rotational Dependence of Line Broadening using Machine Learning

description: Here is the work described in the paper 'Predicting the Rotational Dependence of Line Broadening usingMachine Learning' (link).  Both pipelines can be run on the data provided to train models for predicting line broadening.  Trained models are also given.  These were done using sklearn 0.24.2, but should be accessible in environments with more recent releases downloaded.  The 'plotting file' should output comparisons of HITRAN data and machine learned predictions for the models in 'trained_models_for_testing.pkl'.
DOI: 10.5281/zenodo.10631728
title: Predicting the Rotational Dependence of Line Broadening using Machine Learning

description: Here is the work described in the paper 'Predicting the Rotational Dependence of Line Broadening usingMachine Learning' (link).  Both pipelines can be run on the data provided to train models for predicting line broadening.  Trained models are also given.  These were done using sklearn 0.24.2, but should be accessible in environments with more recent releases downloaded.  The 'plotting file' should output comparisons of HITRAN data and machine learned predictions for the models in 'trained_models_for_testing.pkl'.
DOI: 10.5281/zenodo.7978760
title: SWECO25: Bioclimatic (bioclim)

description: The Bioclimatic category (SWECO25 v1.0.0) contains the "chclim25" dataset.

The chclim25 dataset (bioclimatic category) describes the past, current, and future climate of Switzerland. After resampling the “CHclim25: A high spatial and temporal resolution climate dataset for Switzerland” source data (Broennimann et al., 2021) to the SWECO25 grid, we generated individual precipitation and temperature (min, max, mean) layers at a yearly time step over the 1981-2017 period. In addition, we generated 30-y average climate normal (1981-2010) layers for 28 climate parameters. Layers for the same 28 parameters were also generated for three future periods (2020-2049, 2045-2070, 2070-2099) computed by using their average values projected from for four global climate models (HADGEM, ECEARTH, MPIESM, and IPSL) under three greenhouse gas concentration trajectories or representative concentration pathways (RCPs), RCP2.6, RCP4.5, and RCP8.5. This dataset includes a total of 428 layers. Final values were rounded and multiplied by 100.

The detailed list of layers available is provided in SWECO25_datalayers_details_bioclim.csv and includes information on the category, dataset, variable name (long), variable name (short), period, sub-period, start year, end year, attribute, radii, unit, and path.

References:

Broennimann, O. CHclim25: A high spatial and temporal resolution climate dataset for Switzerland. (Lausanne, Switzerland, 2021).
description: We gratefully acknowledge financial support through the Action Plan of the Swiss Biodiversity Strategy by the Federal Office for the Environment (FOEN) for financing the ValPar.CH and SwissCatchment projects. All the institutions and contributors who made the input data freely available are gratefully acknowledged.
DOI: 10.6084/m9.figshare.16869768
title: Additional file 2 of Transcriptome-wide characterization and functional analysis of Xyloglucan endo-transglycosylase/hydrolase (XTH) gene family of Salicornia europaea L. under salinity and drought stress

description: Additional file 2: Supplementary file 2. The primer sequences used for the RT-qPCR analysis.
DOI: 10.6084/m9.figshare.16869774
title: Additional file 5 of Transcriptome-wide characterization and functional analysis of Xyloglucan endo-transglycosylase/hydrolase (XTH) gene family of Salicornia europaea L. under salinity and drought stress

description: Additional file 5: Supplementary file 5. The HMMER validation of the number of SeXTH genes present in S. europaea.
DOI: 10.6084/m9.figshare.12144471.v1
title: Additional file 8 of Novel insights into salinity-induced lipogenesis and carotenogenesis in the oleaginous astaxanthin-producing alga Chromochloris zofingiensis: a multi-omics study

description: Additional file 8: Data S6. RNA-seq data for genes involved in lipid metabolism.
DOI: 10.3886/e113991
title: Replication data for: Challenges to Mismeasurement Explanations for the US Productivity Slowdown

description: The United States has been experiencing a slowdown in measured labor productivity growth since 2004. A number of commentators and researchers have suggested that this slowdown is at least in part illusory because real output data have failed to capture the new and better products of the past decade. I conduct four disparate analyses, each of which offers empirical challenges to this "mismeasurement hypothesis." First, the productivity slowdown has occurred in dozens of countries, and its size is unrelated to measures of the countries' consumption or production intensities of information and communication technologies (ICTs, the type of goods most often cited as sources of mismeasurement). Second, estimates from the existing research literature of the surplus created by internet-linked digital technologies fall far short of the $3 trillion or more of "missing output" resulting from the productivity growth slowdown. Third, if measurement problems were to account for even a modest share of this missing output, the properly measured output and productivity growth rates of industries that produce and service ICTs would have to have been multiples of their measured growth in the data. Fourth, while measured gross domestic income has been on average higher than measured gross domestic product since 2004—perhaps indicating workers are being paid to make products that are given away for free or at highly discounted prices—this trend actually began before the productivity slowdown and moreover reflects unusually high capital income rather than labor income (i.e., profits are unusually high). In combination, these complementary facets of evidence suggest that the reasonable prima facie case for the mismeasurement hypothesis faces real hurdles when confronted with the data.
DOI: 10.3886/e113991v1-145948
title: Replication data for: Challenges to Mismeasurement Explanations for the US Productivity Slowdown

description: The United States has been experiencing a slowdown in measured labor productivity growth since 2004. A number of commentators and researchers have suggested that this slowdown is at 
least in part illusory because real output data have failed to capture the new and better products of the past decade. I conduct four disparate analyses, each of which offers empirical challenges 
to this "mismeasurement hypothesis." First, the productivity slowdown has occurred in dozens of countries, and its size is unrelated to measures of the countries' consumption or production 
intensities of information and communication technologies (ICTs, the type of goods most often cited as sources of mismeasurement). Second, estimates from the existing research literature of 
the surplus created by internet-linked digital technologies fall far short of the $3 trillion or more of "missing output" resulting from the productivity growth slowdown. Third, if measurement 
problems were to account for even a modest share of this missing output, the properly measured output and productivity growth rates of industries that produce and service ICTs would have 
to have been multiples of their measured growth in the data. Fourth, while measured gross domestic income has been on average higher than measured gross domestic product since 
2004—perhaps indicating workers are being paid to make products that are given away for free or at highly discounted prices—this trend actually began before the productivity 
slowdown and moreover reflects unusually high capital income rather than labor income (i.e., profits are unusually high). In combination, these complementary facets of evidence suggest that 
the reasonable prima facie case for the mismeasurement hypothesis faces real hurdles when confronted with the data.
DOI: 10.6084/m9.figshare.16869707
title: Additional file 4 of Global connectivity in genome-scale metabolic networks revealed by comprehensive FBA-based pathway analysis

description: Additional file 4. Classification of metabolites in the bow-tie structures of the models.
DOI: 10.6084/m9.figshare.14772809
title: MicroRNA-146b-3p regulates the dysfunction of vascular smooth muscle cells via repressing phosphoinositide-3 kinase catalytic subunit gamma

description: MicroRNAs are crucial regulators in the phenotype switch of vascular smooth muscle cells (VSMCs). Nonetheless, the role of miR-146b-3p in VSMCs remains unclear. In the present study, platelet-derived growth factor-BB (PDGF-BB) at different concentrations was employed to stimulate VSMCs for different times, to establish the model of VSMC dysfunction. The relative expression of miR-146b-3p was quantified by quantitative real-time polymerase chain reaction (qRT-PCR). The proliferation of VSMCs was measured by BrdU assay. Flow cytometry analysis was employed for the analysis of cell cycle. VSMC migration was detected by Transwell assay. Phosphoinositide-3 kinase catalytic subunit-gamma (PIK3CG) and markers of VSMC differentiation, including α-SMA, SM-22α, SMMHC, and Calponin were examined employing Western blot. The targeting relationship between miR-146b-3p and PIK3CG 3ʹ-UTR was affirmed by dual-luciferase gene assay. We report that the reduction of miR-146b-3p expression was induced by PDGF-BB in a time-dependent and dose-dependent manner (<i>P</i> &lt; 0.05). The overexpression of miR-146b-3p counteracted the effects of PDGF-BB on the proliferation and migration of VSMCs and increased the expressions of differentiation markers (<i>P</i> &lt; 0.05). Additionally, PIK3CG expression was negatively regulated by miR-146b-3p, and the restoration of PIK3CG partly eliminated the effects of miR-146b-3p on VSMCs (<i>P</i> &lt; 0.05). In summary, miR-146b-3p represses the proliferation, migration, and phenotype switch of VSMCs induced by PDGF-BB via targeting PIK3CG. Therefore, miR-146b-3p/PIK3CG may be a potential target for the treatment of atherosclerosis.
DOI: 10.2908/isoc_bde15ei
title: Individuals using the internet for interacting with public authorities
title: Particuliers utilisant l'internet dans les relations avec l'administration publique
title: Einzelpersonen, die das Internet zur Kommunikation mit öffentlichen Stellen nutzen
DOI: 10.2908/isoc_bdek_di
title: Digital inclusion - individuals
title: Intégration numérique - particuliers
title: Digitale Integration - Einzelpersonen
DOI: 10.2908/isoc_bdek_ps
title: Public services - individuals
title: Administration en ligne - particuliers
title: Kommunikation mit Behörden - Einzelpersonen
DOI: 10.2908/isoc_bdek_sme
title: Entreprises ayant organisé des formations pour développer/améliorer les compétences en TIC de leur personnel, par activité de la NACE Rév. 2
title: Digital single market – promoting e-commerce for business by NACE Rev.2 activity
title: Digitaler Binnenmarkt - Förderung des elektronischen Handels für Unternehmen, nach Aktivitäten der NACE Rev.2
DOI: 10.2908/isoc_bdek_sme_s
title: Digital single market – promoting e-commerce for business by size class of enterprise
title: Entreprises ayant organisé des formations pour développer/améliorer les compétences en TIC de leur personnel, par classe de taille d’entreprise
title: Digitaler Binnenmarkt - Förderung des elektronischen Handels für Unternehmen, nach Unternehmensgrößenklassen
DOI: 10.2908/isoc_cimobi_dev
title: Devices used for mobile connection to the internet
title: Appareils et types de connexion pour accès mobile à l'internet
title: Geräte und Verbindungen zur mobilen Internetnutzung
DOI: 10.2908/isoc_cimobi_frq
title: Frequency of mobile internet use
title: Fréquence de l'utilisation de l'internet mobile
title: Häufigkeit der mobilen Internetnutzung
DOI: 10.6084/m9.figshare.12144456.v1
title: Additional file 4 of Novel insights into salinity-induced lipogenesis and carotenogenesis in the oleaginous astaxanthin-producing alga Chromochloris zofingiensis: a multi-omics study

description: Additional file 4: Data S2. List of FPKM values of all genes.
DOI: 10.6084/m9.figshare.12144462
title: Additional file 5 of Novel insights into salinity-induced lipogenesis and carotenogenesis in the oleaginous astaxanthin-producing alga Chromochloris zofingiensis: a multi-omics study

description: Additional file 5: Data S3. List of 6473 DEGs.
DOI: 10.17630/38c95513-b893-4cc6-8f91-529100888e58
title: Manipulating Anisotropic Transport and Superconductivity by Focused Ion Beam Microstructuring (thesis data)

description: The data files are embargoed until 03/06/2021.
DOI: 10.15468/dl.v5ard2
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aloe plicatilis (L.) Mill."
 ]
}

 The dataset includes 92 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009285-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6dtn20
title: Occurrence Download

description: A dataset containing 1413 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Fossil"
 ]
 },
 "TaxonKey is Aesculus californica (Spach) Nutt."
 ]
}

 The dataset includes 1413 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004205-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r0vxd1
title: Occurrence Download

description: A dataset listing the 18671 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is International Collection of Microorganisms from Plants (ICMP)"
 ]
}

 The dataset's 18671 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008918-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.