cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc265gzv
title: CCDC 2031057: Experimental Crystal Structure Determination

description: Related Article: Pei-Long Wang, Hui-Zhi Shen, Hui-Hui Cheng, Hui Gao, Pin-Hua Li|2020|Green Chemistry|22|6783|doi:10.1039/d0gc02193h
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.20170523
title: Supplementary Material for: Can Non-Coding <b><i>NR5A1</i></b> Gene Variants Explain Phenotypes of Disorders of Sex Development?

description: <b><i>Introduction:</i></b> NR5A1 is an essential transcription factor that regulates several target genes involved in reproduction and endocrine function. Pathogenic variants in this gene are responsible for a wide spectrum of disorders/differences of sex development (DSD). <b><i>Methods:</i></b> The molecular study involved Sanger sequencing, in vitro assays, and whole exome sequencing (WES). <b><i>Results:</i></b> Four variants were identified within the <i>NR5A1</i> non-coding region in 3 patients with 46,XY DSD. In vitro analyses showed that promoter activity was affected in all cases. WES revealed variants in <i>SRA1</i>, <i>WWOX</i>, and <i>WDR11</i> genes. <b><i>Discussion/Conclusion:</i></b> Evaluation of clinical and phenotypic significance of variants located in a non-coding region of a gene can be complex, and little is known regarding their association with DSD. Nevertheless, based on the important region for interaction with cofactors essential to promote appropriated sex development and on our in vitro results, it is feasible to say that an impact on gene expression can be expected and that this may be correlated with the DSD pathophysiology presented in our patients. Considering the number of cases that remain elusive after screening for the well-known DSD related genes, we emphasize the importance of a careful molecular analysis of <i>NR5A1</i> non-coding region which is commonly neglected and might explain some idiopathic DSD cases.
DOI: 10.5281/zenodo.6768686
title: Muonic Force Carriers

description: The datasets contain Muonic Force Carriers (MFC) events generated with Monte Carlo simulations. They describe the scattering of an incoming muon and a target nucleus of the detector material of the ATLAS detector, which produces an outgoing muon, the outgoing target and a MFC. The datasets are given in function of the energy of the incoming muon, ranging from 50 to 200 GeV, in step of 25 GeV. The shape of each dataset is of (100'000,5,3), where 100'000 is the number of events, 5 corresponds to the different particle (incoming muon, target at rest, outgoing muon, outgoing target, MFC), and 3 to the different features (energy, transversal momentum, pseudorapidity).
description: {"references": ["@article{PhysRevD.101.011701, title = {Searching for muonic forces with the ATLAS detector}, author = {Galon, Iftah and Kajamovitz, Enrique and Shih, David and Soreq, Yotam and Tarem, Shlomit}, journal = {Phys. Rev. D}, volume = {101}, issue = {1}, pages = {011701}, numpages = {7}, year = {2020}, month = {Jan}, publisher = {American Physical Society}, doi = {10.1103/PhysRevD.101.011701}, url = {https://link.aps.org/doi/10.1103/PhysRevD.101.011701} }"]}
DOI: 10.5281/zenodo.6768685
title: Muonic Force Carriers

description: The datasets contain Muonic Force Carriers (MFC) events generated with Monte Carlo simulations. They describe the scattering of an incoming muon and a target nucleus of the detector material of the ATLAS detector, which produces an outgoing muon, the outgoing target and a MFC. The datasets are given in function of the energy of the incoming muon, ranging from 50 to 200 GeV, in step of 25 GeV. The shape of each dataset is of (100'000,5,3), where 100'000 is the number of events, 5 corresponds to the different particle (incoming muon, target at rest, outgoing muon, outgoing target, MFC), and 3 to the different features (energy, transversal momentum, pseudorapidity).
description: {"references": ["@article{PhysRevD.101.011701, title = {Searching for muonic forces with the ATLAS detector}, author = {Galon, Iftah and Kajamovitz, Enrique and Shih, David and Soreq, Yotam and Tarem, Shlomit}, journal = {Phys. Rev. D}, volume = {101}, issue = {1}, pages = {011701}, numpages = {7}, year = {2020}, month = {Jan}, publisher = {American Physical Society}, doi = {10.1103/PhysRevD.101.011701}, url = {https://link.aps.org/doi/10.1103/PhysRevD.101.011701} }"]}
DOI: 10.22008/fk2/prwitw/ntviqk
title: PROMICE_250_2015-04-10.prj

description: :unav
DOI: 10.22008/fk2/prwitw/hgj74c
title: PROMICE_250_2019-12-04.dbf

description: :unav
DOI: 10.22008/fk2/prwitw/0rgmhu
title: PROMICE_GREENLAND_ICEFRAC_1km.tif

description: :unav
DOI: 10.22008/fk2/prwitw/puy9vf
title: PROMICE_250_2019-12-04.shp

description: :unav
DOI: 10.22008/fk2/prwitw/c39v31
title: PROMICE_250_2015-04-10.dbf

description: :unav
DOI: 10.22008/fk2/prwitw/awf9rl
title: PROMICE_250_2015-04-10.shx

description: :unav
DOI: 10.22008/fk2/prwitw/srht7x
title: PROMICE_250_2015-04-10.shp

description: :unav
DOI: 10.22008/fk2/prwitw/hzdcxg
title: PROMICE_250_2019-12-04.shx

description: :unav
DOI: 10.22008/fk2/prwitw/0pfgsa
title: PROMICE_GREENLAND_COVERCODE_5km.tif

description: :unav
DOI: 10.22008/fk2/prwitw/r4tmuu
title: Terms of use of PROMICE ice mask.pdf

description: :unav
DOI: 10.22008/fk2/prwitw/avlbj7
title: PROMICE_250_2019-12-04.prj

description: :unav
DOI: 10.22008/promice/data/ice_extent
title: Programme for monitoring of the Greenland ice sheet (PROMICE): Ice extent
DOI: 10.15470/7ywmrd
title: Species inventory of the future Pacifico quarry, owned by Calizas Alba, in Nerpio, Albacete (Spain)

description: Inventory of flora, avifauna and reptile species observed by visual census at the future Pacifico quarry, owned of Calizas Alba, in Nerpio, Albacete (Spain). This inventory is part of the BioReSTONE project developed by the Centro Tecnol?gico del M?rmol, Piedra y Materiales. The aim of BioReSTONE is to design tools for the conservation and restoration of natural habitats and wild species in areas managed by the marble extraction industry. The initial censuses have been carried out in five quarries in Murcia, Castilla la Mancha and Andalusia. The aim is to prevent, detect early and eradicate invasive exotic species and adapt future restoration to climate change scenarios. It also aims to generate knowledge for the conservation of habitats and species of interest in the five participating quarries.
DOI: 10.25919/t3qr-q390
title: Parkes observations for project PX600 semester 2020APRS_70

description: The Galactic Center (GC) is a key target for the radio component of Breakthrough Listen (BL) program. Offering the largest amount of stars in any given direction in the sky, the GC is widely cited as a location believed to harbour advanced civilizations, and it is also the most energetic region in the Milky Way. We aim to conduct BL-GC Survey with Parkes radio telescope for around 350 hours. We will cover the frequency range from 700 MHz to 4 GHz, utilizing the newly installed ultra-wideband receiver. Our team has already leveraged both standard and bespoke tools to construct a flexible software stack to search data for signals of interest. We will look for signals from extraterrestrial intelligence (ETI) by searching for both simple narrow-band signals and complex modulated signals. Along with that, as an ancillary science, we will also search for accelerated pulsars — likely orbiting a supermassive black hole at the centre of the Milky Way Galaxy. Data products produced during this program will also be publically available to engage larger pulsar community
DOI: 10.6084/m9.figshare.12130980.v147
title: MOOD Maps of Google community mobility change during the COVID-19 outbreak

description: The MOOD project (MOnitoring Outbreak events for Disease surveillance in a data science context. H2020) has geo-referenced the data Google has published as a series of PDF files presenting reports on national and subnational human mobility levels relative to a baseline data of late January 2020. The details and the PDF files can be found at https://www.google.com/covid19/mobility/.<br>More detail on these files can be found at https://www.moodspatialdata.com/humanmobilityforcovid19 <br>The first set of data were released on April 2 2020 and have been revised weekly since then. The maps now utilise the CSV data released by Google. Please note that the maps figures use a mean of the previous three days, while the Google PDFs use a single days data so there will be differences between values in our maps when compare to the Google PDFs.<br>The authors have extracted the majority of these data into a series of excel spreadsheets. Each worksheet provides the data for % change in numbers of records at various types of location categories illustrated by: retail and recreation, grocery and pharmacy, parks and beaches, transit stations, workplaces and residential (columns f to K). A second set of columns calculates the difference of each value from the mean values for each category (columns L to P) Columns A to E contain geographical details. Column Q contains the names used to link to a mapping file.There are separate worksheets for the date of the data from each dated release (e.g. 2903, 0504 etc.) and separate worksheets calculating the changes between specific dates.<br>A second spreadsheet has been added calculating the 3 day moving mean of each day from the 15th of February. Each day is referenced by the Gregorian calendar day count. So day 48 = Feb 17th.<br>The maps (for EU & Global) display these data. We provide 600 dpi jpegs of the Global (“WD”) and European (“EU”) mapped values at the latest date available, for each of the mobility categories: retail and recreation (“retrec”) , grocery and pharmacy (“grocphar”) , parks (“parks”) , transit stations (“transit”), residential (“resid”) and workplaces (“work”). We also provide maps of the changes from the previous week (“ch”).<br>All data extracting and subsequent processing have been carried out by ERGO (Environmental Research Group Oxford, c/o Dept Zoology, University of Oxford) on behalf of the MOOD H2020 project. Data will be periodically updated. Additional maps can be obtained on request to the authors.
DOI: 10.21227/jmrt-dh93
title: Power system data and the static and dynamic constraints.

description: Transient stability-constrained optimal power flow (TSCOPF) models comprehensively analyze the security and economic operation of power systems. However, they require a high computational effort and can suffer from convergence problems when applied to large systems. This study analyzes the performance of eleven numerical integration algorithms applied to ordinary differential equations that represent power system dynamics in a TSCOPF model. The analyzed algorithms cover a range of explicit and implicit methods, including the recently published semi-explicit and semi-implicit Adams-Bashforth-Moulton formulas, together with several initialization techniques. The integration methods are applied to a model of the Iberian Peninsula power system, and their performance is discussed in terms of convergence, accuracy, and computational effort. The results show that most implicit methods converge to the solution, even for large time steps. In particular, the Adams-Moulton method of order two and Simpson’s rule, both initialized with RK4, outperform the trapezoidal rule, which is the default method in TSCOPF models.
DOI: 10.34740/kaggle/dsv/3874888
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.34740/kaggle/dsv/3874920
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.6772024
title: GTN Tutorial: Data Manipulation Olympics

description: Input datasets for the Galaxy Tutorial on Data manipulation
DOI: 10.5281/zenodo.5971364
title: Data from: Spatial release from masking in crocodilians

description: Dataset, codes, videos, and audio signals used in the study "Spatial release from masking in crocodilians". All supplementary figures are also available.
DOI: 10.5281/zenodo.5971363
title: Data from: Spatial release from masking in crocodilians

description: Dataset, codes, videos, and audio signals used in the study "Spatial release from masking in crocodilians". All supplementary figures are also available.
DOI: 10.5281/zenodo.6772044
title: Multicrystal dataset of Lysozyme, collected at room temperature, using a multilayer monochromator on beamline VMXi, Diamond Light Source

description: 21 lysozyme crystals had 10 degrees of x-ray diffraction data collected on them and all data were automatically scaled and merged using xia2.multiplex. This file is the resultant dataset.
DOI: 10.5281/zenodo.6772043
title: Multicrystal dataset of Lysozyme, collected at room temperature, using a multilayer monochromator on beamline VMXi, Diamond Light Source

description: 21 lysozyme crystals had 10 degrees of x-ray diffraction data collected on them and all data were automatically scaled and merged using xia2.multiplex. This file is the resultant dataset.
DOI: 10.5281/zenodo.6759725
title: EWINA_1st_RECORDS: Year of the first record of observation of each native and exotic earthworm species present in North America

description: Year of the first record of each native and exotic earthworm species (Oligochaeta) present in North America. Stops in 2021. More details here: https://github.com/JeromeMathieuEcology/GlobalWorming.
DOI: 10.5281/zenodo.6759724
title: EWINA_1st_RECORDS: Year of the first record of observation of each native and exotic earthworm species present in North America

description: Year of the first record of each native and exotic earthworm species (Oligochaeta) present in North America. Stops in 2021. More details here: https://github.com/JeromeMathieuEcology/GlobalWorming.
DOI: 10.15468/dl.x4x6py
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Syedra parvula Kritscher, 1996",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101858-240626123714530/datasets/export for details.
DOI: 10.15468/dl.umwayf
title: Occurrence Download

description: A dataset containing 364 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nerium oleander L.",
 "Country is Brazil",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 364 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101857-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tvt6r6
title: Occurrence Download

description: A dataset listing the 4 species recorded in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pterois volitans (Linnaeus, 1758)"
 ]
}

 The dataset's 4 records were derived from 176 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101808-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wdbjgg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Geostiba aspromontana Pace, 1977",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101861-240626123714530/datasets/export for details.
DOI: 10.15468/dl.5s9dhx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Wollastonia micrantha subsp. exigua (O.Deg. & Sherff) Orchard)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101860-240626123714530/datasets/export for details.
DOI: 10.15468/dl.mkp6gu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Soteriscus gaditanus (Vandel, 1956)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101863-240626123714530/datasets/export for details.
DOI: 10.15468/dl.n59vjs
title: Occurrence Download

description: A dataset containing 5735 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Urochloa brizantha (A.Rich.) R.D.Webster"
 ]
}

 The dataset includes 5735 records from 251 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101862-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hbb53t
title: Occurrence Download

description: A dataset containing 3135 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bougainvillea spectabilis Willd."
 ]
}

 The dataset includes 3135 records from 378 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101864-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x7w2rv
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Syedra nigrotibialis Simon, 1884",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101865-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nf9h72
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Geostiba subterranea Assing & Wunderle, 1996",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101867-240626123714530/datasets/export for details.
DOI: 10.15468/dl.ymx7hm
title: Occurrence Download

description: A dataset containing 4171 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bougainvillea glabra Choisy"
 ]
}

 The dataset includes 4171 records from 372 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101868-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s5q2b6
title: Occurrence Download

description: A dataset containing 96459 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Falco femoralis Temminck, 1822"
 ]
}

 The dataset includes 96459 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101859-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.prm8c4
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nymphaea nouchali Burm.fil.",
 "Country is Brazil",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 37 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101866-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7mszjp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Wollastonia tenuifolia (A.Gray) Orchard)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101869-240626123714530/datasets/export for details.
DOI: 10.15468/dl.a5abzs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Soteriscus trilineatus Rodriguez & Vicente, 1992",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101870-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26839783
title: Phylogenomic marker design of Collembola

description: The newly USCO (collembola_odb10.tar.gz) and UCE (Collembola-2.6kv2.fasta) datasets for Collembola (Hexapoda)