cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.w5xly0
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((31.05759 1.82922,30.10399 0.89031,29.59564 -0.8331,29.00536 -2.57558,29.66454 -6.66294,30.42137 -7.77706,31.10497 -8.52625,32.00829 -8.96059,34.18114 -9.92391,34.91356 -11.53101,36.91696 -11.71111,38.01629 -11.44961,40.6308 -10.82672,39.94721 -10.05841,39.94721 -10.05841,39.72313 -4.52486,39.99096 -3.42242,41.50681 -1.68585,41.02239 -0.84553,41.02239 -0.84553,41.02856 2.83659,41.79833 3.91464,40.74852 4.32861,39.5393 3.45821,38.20946 3.67104,36.93993 4.499,35.42626 5.10721,34.40014 4.59065,33.52196 3.81721,32.03198 3.72624,30.95776 3.65315,30.93334 3.37291,30.73876 2.72038,31.05759 1.82922))",
 "TaxonKey is Alismataceae",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 36 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020407-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xyxumn
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-117.76535 33.74017,-117.76516 33.74006,-117.76473 33.74053,-117.76471 33.74103,-117.76505 33.74125,-117.76529 33.74125,-117.76543 33.74047,-117.76535 33.74017))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2020-2022"
 ]
}

 The dataset's 2 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0115105-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.exsrup
title: Occurrence Download

description: A dataset containing 26884 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "Geometry POLYGON((12.28134 44.92996,13.02017 44.92996,13.02017 45.44632,12.28134 45.44632,12.28134 44.92996))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 26884 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058370-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ff9fxe
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-91.79457 18.44482,-91.81475 18.39665,-91.73939 18.36179,-91.72351 18.37659,-91.79457 18.44482))",
 "TaxonKey is Cypriniformes"
 ]
}

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003876-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13906294
title: Relxill_NK Johannsen metric transfer function FITS files

description: Transfer function FITS files to be used with the X-ray reflection model relxill_nk (ABHModels/relxill_nk).
DOI: 10.5281/zenodo.13906295
title: Relxill_NK Johannsen metric transfer function FITS files

description: Transfer function FITS files to be used with the X-ray reflection model relxill_nk (ABHModels/relxill_nk).
DOI: 10.15468/mjh3c7
title: Soil macrofauna of the middle taiga forests after clear-cutting in the European part of Russia (Komi Republic)

description: Data on the number of individuals of large soil invertebrates in soil samples collected in spruce and birch forests after clear-cutting in the European part of Russia (Komi Republic) are presented. A total of 446 occurrences are included in the resource.
DOI: 10.5281/zenodo.4740207
title: quetzal_germany_input_static

description: This datapackage contains various input data for generation of transport models within the region of Germany. The open source transport model quetzal_germany requires these files for generation of public transport networks and their parametrisation, as well as for validations of simulated modal splits. The whole model can be found on github: https://github.com/marlinarnz/quetzal_germany
DOI: 10.5281/zenodo.5159308
title: quetzal_germany_input_static

description: This datapackage contains various input data for generation of transport models within the region of Germany. The open source transport model quetzal_germany requires these files for generation of public transport networks and their parametrisation, as well as for validations of simulated modal splits. The whole model can be found on github: https://github.com/marlinarnz/quetzal_germany
DOI: 10.5281/zenodo.4518681
title: quetzal_germany_input_static

description: This datapackage contains various input data for generation of transport models within the region of Germany. The open source transport model quetzal_germany requires these files for generation of public transport networks and their parametrisation, as well as for validations of simulated modal splits. The whole model can be found on github: https://github.com/marlinarnz/quetzal_germany
description: The directory structure is divided into three categories 'level_of_service', 'public_transport', and 'spatial' input data, which is indicated through prefixes on file names.
DOI: 10.5281/zenodo.5659679
title: quetzal_germany_input_static

description: This datapackage contains various input data for generation of transport models within the region of Germany. The open source transport model quetzal_germany requires these files for generation of public transport networks and their parametrisation, as well as for validations of simulated modal splits. The whole model can be found on github: https://github.com/marlinarnz/quetzal_germany
DOI: 10.5281/zenodo.6979650
title: quetzal_germany_input_static

description: This datapackage contains various input data for generation of transport models within the region of Germany. The open source transport model quetzal_germany requires these files for generation of public transport networks and their parametrisation, as well as for validations of simulated modal splits. The whole model can be found on github: https://github.com/marlinarnz/quetzal_germany
DOI: 10.5281/zenodo.7500745
title: quetzal_germany_input_static

description: This datapackage contains various input data for generation of transport models within the region of Germany. The open source transport model quetzal_germany requires these files for its modelling steps and validation. The whole model can be found on github: https://github.com/marlinarnz/quetzal_germany
DOI: 10.5281/zenodo.7797943
title: quetzal_germany_input_static

description: This datapackage contains various input data for generation of transport models within the region of Germany. The open source transport model quetzal_germany requires these files for its modelling steps and validation. The whole model can be found on github: https://github.com/marlinarnz/quetzal_germany
DOI: 10.5281/zenodo.8046472
title: quetzal_germany_input_static

description: This datapackage contains various input data for generation of transport models within the region of Germany. The open source transport model quetzal_germany requires these files for its modelling steps and validation. The whole model can be found on github: https://github.com/marlinarnz/quetzal_germany
DOI: 10.5281/zenodo.13867405
title: quetzal_germany_input_static

description: This datapackage contains various input data for generation of transport models within the region of Germany. The open source transport model quetzal_germany requires these files for its modelling steps and validation. The whole model can be found on github: https://github.com/marlinarnz/quetzal_germany
DOI: 10.5281/zenodo.13868321
title: quetzal_germany_input_static

description: This datapackage contains various input data for generation of transport models within the region of Germany. The open source transport model quetzal_germany requires these files for its modelling steps and validation. The whole model can be found on github: https://github.com/marlinarnz/quetzal_germany
DOI: 10.5281/zenodo.4518680
title: quetzal_germany_input_static

description: This datapackage contains various input data for generation of transport models within the region of Germany. The open source transport model quetzal_germany requires these files for its modelling steps and validation. The whole model can be found on github: https://github.com/marlinarnz/quetzal_germany
DOI: 10.5281/zenodo.13906314
title: QCA-2024-SCC-MS50847 R&D data

description: Project Code: QCA-2024-SCC-MS50847.This project is classified as CONFIDENTIAL. All information, data, and results associated with this project are strictly restricted to authorized personnel only. Any dissemination, distribution, or copying of the project details is strictly prohibited without prior approval from the project lead and the university's Office of Research Compliance.
DOI: 10.5281/zenodo.13906315
title: QCA-2024-SCC-MS50847 R&D data

description: Project Code: QCA-2024-SCC-MS50847.This project is classified as CONFIDENTIAL. All information, data, and results associated with this project are strictly restricted to authorized personnel only. Any dissemination, distribution, or copying of the project details is strictly prohibited without prior approval from the project lead and the university's Office of Research Compliance.
DOI: 10.15468/dl.acnrqh
title: Occurrence Download

description: A dataset containing 16369 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carcharodon carcharias (Linnaeus, 1758)"
 ]
}

 The dataset includes 16369 records from 174 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003879-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13906330
title: QCA-2024-SCC-SI03460 R&D data

description: Project Code: QCA-2024-SCC-SI03460.This project is classified as CONFIDENTIAL. All information, data, and results associated with this project are strictly restricted to authorized personnel only. Any dissemination, distribution, or copying of the project details is strictly prohibited without prior approval from the project lead and the university's Office of Research Compliance.
DOI: 10.5281/zenodo.13906331
title: QCA-2024-SCC-SI03460 R&D data

description: Project Code: QCA-2024-SCC-SI03460.This project is classified as CONFIDENTIAL. All information, data, and results associated with this project are strictly restricted to authorized personnel only. Any dissemination, distribution, or copying of the project details is strictly prohibited without prior approval from the project lead and the university's Office of Research Compliance.
DOI: 10.15468/dl.6y8hj7
title: Occurrence Download

description: A dataset containing 6606 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abies sibirica Ledeb."
 ]
}

 The dataset includes 6606 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003878-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ywfu47
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "GadmGid is one of (USA.5.18_1, USA.5.45_1, USA.5.32_1, USA.5.52_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bombus crotchii Cresson, 1879"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003881-241007104925546/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.27192732
title: Pre-competitive anxiety

description: This date set corresponds to research that is being peer-reviewed.
DOI: 10.6084/m9.figshare.27192732.v1
title: Pre-competitive anxiety

description: This date set corresponds to research that is being peer-reviewed.
DOI: 10.15468/dl.nbxskw
title: Occurrence Download

description: A dataset containing 21279 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myriophyllum aquaticum (Vell.) Verdc."
 ]
}

 The dataset includes 21279 records from 660 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003880-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bpwtvc
title: Occurrence Download

description: A dataset containing 761 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ailurus F.G.Cuvier, 1825"
 ]
}

 The dataset includes 761 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003882-241007104925546/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.27179391
title: Accession number and Combined seq SSU, ITS, LSU, TEF1, and RPB2 of novel species of Torula kanvae.txt

description: <i>Torula kanvae</i> was isolated from the gut of a <i>Copris signatus</i> beetle feeding on organic waste in Pune, Maharashtra, India. Through detailed morphological and phylogenetic analyses, based on sequences of the ITS rDNA region, D1/D2 domain of the 28S rRNA gene (LSU), SSU, tef1, and RPB2 genes, we propose <i>Torula kanvae</i> as a novel species within the genus Torula. Phylogenetically, <i>T. kanvae</i> is positioned near <i>T. auatica</i>. On PDA, the colonies displayed a spreading mycelium with a raised, undulate margin, superficial but slightly effuse, nearly circular in shape. From the top, the colonies appeared dark grey in the center with a moss-green margin, while the underside exhibited a dark brown to black center with a whitish margin.
DOI: 10.15468/dl.pgb8w5
title: Occurrence Download

description: A dataset containing 2191 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aedes hexodontus Dyar, 1916"
 ]
}

 The dataset includes 2191 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003885-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13906347
title: QCA-2024-SCC-QP55976 R&D data

description: Project Code: QCA-2024-SCC-QP55976.This project is classified as CONFIDENTIAL. All information, data, and results associated with this project are strictly restricted to authorized personnel only. Any dissemination, distribution, or copying of the project details is strictly prohibited without prior approval from the project lead and the university's Office of Research Compliance.
DOI: 10.5281/zenodo.13906348
title: QCA-2024-SCC-QP55976 R&D data

description: Project Code: QCA-2024-SCC-QP55976.This project is classified as CONFIDENTIAL. All information, data, and results associated with this project are strictly restricted to authorized personnel only. Any dissemination, distribution, or copying of the project details is strictly prohibited without prior approval from the project lead and the university's Office of Research Compliance.
DOI: 10.6084/m9.figshare.27192723
title: Raw data DOI 10.3389fphar.2024.1483686.zip

description: Background: The high incidence of thyroid nodules and their rapid growth in recent years have become an important issue affecting public health. Traditional Chinese medicine (TCM) external treatments have unique advantages in treating this disease, but the currently available external preparations are relatively few and the therapeutic mechanism is unclear. Jiajiejian gel (JJJG) is a TCM external preparation developed by our team for the thyroid nodule treatment, which has been preliminarily proven to be safe and effective in clinical practice. Objective: The current study was aimed to elucidate the therapeutic effects and the underlying mechanisms of JJJG on thyroid nodules in rats. Methods: The contents of paeonol and forsythoside A in JJJG were determined by HPLC. The thyroid nodules rat model was established through oral gavage of 0.1% propylthiouracil (PTU) for 6 weeks and meanwhile the rats were treated with external JJJG (0.26, 0.52, 1.04 g/kg). Subsequently, the therapeutic effect of JJJG was observed by means of ultrasonic examination, morphology observation, organ coefficients determination and histopathological analysis. Mechanismlly, the levels of FT3, FT4 and TSH in serum were measured and transcriptomics methods were used to analyse and screen the key targets and pathways of alleviating thyroid nodules by JJJG. Further, gene and protein expression levels of key factors in the pathways were measured and validated using quantitative real-time PCR, ELISA, western blotting and immunofluorescence, so as to clarify the therapeutic mechanism. Results：The contents of the paeonol and forsythoside A were 1.160 and 0.608 mg/g, respectively. JJJG reduced thyroid swelling, improved nodular lesions, decreased thyroid coefficients, and inhibited abnormal nodular hyperplasia of follicular epithelial cells. In terms of mechanism, JJJG significantly increased the levels of FT3 and FT4 and decreased TSH level in serum (P&lt;0.05). Transcriptomics suggested that the (IL-6, TNF-α, IL-1β)/JAK2/STAT3/VEGF pathway may be one of the key mechanisms in the treatment of thyroid nodules by JJJG. Further validation experiments demonstrated that JJJG significantly reduced the mRNA expression and protein content of IL-1β, IL-6 and TNF-α in thyroid tissue, as well as the mRNA expression of JAK2, STAT3 and VEGF and the protein expression of p-JAK2/JAK2, p-STAT3/STAT3 and VEGF (P&lt;0.05). Conclusions: This study indicates that JJJG efficiently ameliorates thyroid nodules by regulating the levels of FT3, FT4 and TSH in serum and suppressing (IL-6, TNF-α, IL-1β)/JAK2/STAT3/VEGF pathway in thyroid tissue, providing a potential therapeutic approach for thyroid nodules.
DOI: 10.6084/m9.figshare.8191220
title: Data from: Oxytocin and shared intentionality are positively associated with cooperation in children.

description: While humans cooperate with unrelated individuals to an extent that far outstrips any other species, we also display extreme variation in decisions about whether to cooperate or not. A diversity of cognitive, affective, social, and physiological mechanisms interact to shape these decisions. For example, group membership, shared intentionality talk (i.e. talk about shared goals), and natural initial oxytocin levels are linked to cooperation in adults in an optimal foraging paradigm that is loosely modelled on the iterated prisoner’s dilemma. In this ‘egg hunt’, shared intentionality talk was key to achieve cooperation, and it occurred more between participants who shared the same group membership and had higher initial oxytocin levels. Such complex interactions raise the question of the age at which humans develop the necessary mechanisms to cooperate effectively in the egg hunt game. Here, we tested children in secondary school aged between 10 and 14 years. We found that, as for adults, shared intentionality talk was crucial for successful cooperation. Furthermore, initial oxytocin levels correlated with cooperation through shared intentionality talk. In contrast, group membership did not affect behaviour. Finally, pre- and post-experiment oxytocin levels showed various interactions with group membership and sex. Thus, children’s performance was relatively similar to adults while showing some differences with respect to underlying mechanisms. Our study is a rare contribution to further our understanding of the role of oxytocin in early adolescent social behaviour.
DOI: 10.26181/27190887
title: Supplementary Document 2 - Meta-Data Spreadsheet.xlsx

description: This meta-data document contains data relating to randomised controlled trials where non-exercise intervention groups were compared against exercise intervention groups (not receiving any additional supplemental intervention). All data were collected as part of a systematic review and meta-analysis and was registered with Open Science Framework (https://doi.org/10.17605/OSF.IO/EH94V). Data included in this document consists of demographic information, muscle strength from the chest and quadriceps musculature in conjunction with the method of strength assessment and specific exercise assessed. Lastly, resistance training intervention data which includes the following training variables; sets, repetitions, number of exercises, intensity (% 1-repetition-maximum), frequency, and duration, were included in this document. References for each of the included studies can be found on the third workbook titled 'References'.
DOI: 10.26181/27190887.v1
title: Supplementary Document 2 - Meta-Data Spreadsheet.xlsx

description: This meta-data document contains data relating to randomised controlled trials where non-exercise intervention groups were compared against exercise intervention groups (not receiving any additional supplemental intervention). All data were collected as part of a systematic review and meta-analysis and was registered with Open Science Framework (https://doi.org/10.17605/OSF.IO/EH94V). Data included in this document consists of demographic information, muscle strength from the chest and quadriceps musculature in conjunction with the method of strength assessment and specific exercise assessed. Lastly, resistance training intervention data which includes the following training variables; sets, repetitions, number of exercises, intensity (% 1-repetition-maximum), frequency, and duration, were included in this document. References for each of the included studies can be found on the third workbook titled 'References'.
DOI: 10.15468/dl.xxmtac
title: Occurrence Download

description: A dataset listing the 17122 species recorded in GBIF matching the query:
{
 "Country" : [
 "is Bangladesh"
 ]
}

 The dataset's 17122 records were derived from 406 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003883-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13906377
title: Supplementary Table S1. Primer sequence information for RT-qPCR used in this study.
DOI: 10.5281/zenodo.13906378
title: Supplementary Table S1. Primer sequence information for RT-qPCR used in this study.
DOI: 10.15468/dl.m66pzg
title: Occurrence Download

description: A dataset listing the 4027371 species recorded in GBIF matching the query:
{ }

 The dataset's 4027371 records were derived from 76802 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003884-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bwfj6j
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-113.99186253134506 24.790981368874633,-110.32493627205842 24.790981368874633,-110.32493627205842 28.457907628161273,-113.99186253134506 28.457907628161273,-113.99186253134506 24.790981368874633))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Carcharhinus leucas (Müller & Henle, 1839)"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003886-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.