cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25623534.v1
title: <b>Targeted metabolomics identifies accurate CSF metabolite biomarkers for the differentiation between COVID-19 with neurological involvement and CNS infections with neurotropic viral pathogens</b>

description: <b>Background</b>. COVID-19 is primarily considered a respiratory tract infection, but it can also affect the central nervous system (CNS), which can result in long-term sequelae. In contrast to CNS infections by classic neurotropic viruses, SARS-CoV-2 is usually not detected in cerebrospinal fluid (CSF) from patients with COVID-19 with neurological involvement (neuro-COVID), suggesting fundamental differences in pathogenesis.<b>Methods</b>. To assess differences in CNS metabolism in neuro-COVID compared to CNS infections with classic neurotropic viruses, we applied a targeted metabolomic analysis of 630 metabolites to CSF from patients with (i) COVID-19 with neurological involvement (n=16, comprising acute (n=13) and post-COVID-19 (n=3)), (ii) viral meningitis, encephalitis, or myelitis (n=10) due to herpes simplex virus (n=2), varicella zoster virus (n=6), enterovirus (n=1) and tick-borne encephalitis virus (n=1), and (iii) aseptic neuroinflammation (meningitis, encephalitis, or myelitis) of unknown etiology (n=21) as additional disease controls.<b>Results</b>. Standard CSF parameters indicated absent or low neuroinflammation in neuro-COVID. Indeed, CSF cell count was low in neuro-COVID (median 1 cell/µL, range 0-12) and discriminated it accurately from viral CNS infections (AUC=0.99) and aseptic neuroinflammation (AUC=0.98). 32 CSF metabolites passed quality assessment and were included in the analysis. Concentrations of differentially abundant (fold change ≥|1.5|, FDR ≤0.05) metabolites were both higher (9 and 5 metabolites) and lower (2 metabolites) in neuro-COVID than in the other two groups. Concentrations of citrulline, ceramide (d18:1/18:0), and methionine were most significantly elevated in neuro-COVID. Remarkably, triglyceride TG(20:1_32:3) was much lower (mean fold change = 0.09 and 0.11) in neuro-COVID than in all viral CNS infections and most aseptic neuroinflammation samples, identifying it as highly accurate biomarker with AUC=1 and 0.93, respectively. Across all samples, TG(20:1_32:3) concentration correlated only moderately with CSF cell count (r=0.65), protein concentration (r=0.64), and Q-albumin (r=0.48), suggesting that its low levels in neuro-COVID CSF are only partially explained by less pronounced neuroinflammation.<b>Conclusions.</b> The results suggest that CNS metabolite responses in neuro-COVID differ fundamentally from viral CNS infections and aseptic neuroinflammation and may be used to discover accurate diagnostic biomarkers in CSF and to gain insights into differences in pathophysiology between neuro-COVID, viral CNS infections and aseptic neuroinflammation.
DOI: 10.15468/dl.dzrt0o
title: Occurrence Download

description: A dataset containing 20043 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mollusca collection of National Museum of Nature and Science"
 ]
}

 The dataset includes 20043 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000907-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5rgd4k
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dioscorea nipensis R.A.Howard"
 ]
}

 The dataset includes 56 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0177423-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ncifqp
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sargassum ramifolium Kütz."
 ]
}

 The dataset includes 20 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000617-150211104439307/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xew3ze
title: Occurrence Download

description: A dataset containing 787575 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((35.924964333333335 32.097476, 35.924964333333335 49.184106666666665, 1.8796086666666671 49.184106666666665, 1.8796086666666671 32.097476, 35.924964333333335 32.097476))",
 "EventDate is 2012-05-01,2012-05-31"
 ]
}

 The dataset includes 787575 records from 974 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052782-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.67gu4n
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Taxon occurrence data for the FungalRoot database",
 "Geometry POLYGON((-117.05712891044095 33.257881172932684,-116.97473144950345 33.257881172932684,-116.97473144950345 33.340278633870184,-117.05712891044095 33.340278633870184,-117.05712891044095 33.257881172932684))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0227150-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fd5qjg
title: Occurrence Download

description: A dataset containing 12728 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cerceris rybyensis (Linnaeus, 1771)"
 ]
}

 The dataset includes 12728 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0184765-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aapqke
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Daboia palaestinae Obst, 1983"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000617-150221044754056/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k57mt4
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pilosocereus flexibilispinus P.J.Braun & Esteves"
 ]
}

 The dataset includes 11 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0184769-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x56wtk
title: Occurrence Download

description: A dataset containing 4513 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cenchrus longispinus (Hack.) Fernald"
 ]
}

 The dataset includes 4513 records from 224 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052783-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nkj62q
title: Occurrence Download

description: A dataset containing 187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Evaluación del riesgo de extinción de setenta y tres especies de lagartijas (Sauria) incluidas en la Norma Oficial Mexicana-059-SEMARNAT-2001",
 "TaxonKey is Phyllodactylus Gray, 1828"
 ]
}

 The dataset includes 187 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0409832-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wxcp3k
title: Occurrence Download

description: A dataset containing 3943458 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Falco sparverius Linnaeus, 1758"
 ]
}

 The dataset includes 3943458 records from 454 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001640-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pw7969
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Syzygium duthieanum (King) Masam."
 ]
}

 The dataset includes 14 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021956-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ygzg3g
title: Occurrence Download

description: A dataset containing 354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "TaxonKey is Dampiera dysantha (Benth.) Rajput & Carolin",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 354 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052965-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k395tq
title: Occurrence Download

description: A dataset containing 47538 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Acanthus mollis L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 47538 records from 183 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008379-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d62m26
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calepitrimerus alnus Huang, 2001"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066473-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.57b7g3
title: Occurrence Download

description: A dataset containing 1347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Houbaropsis bengalensis (Gmelin, 1789)"
 ]
}

 The dataset includes 1347 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062438-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3g9t62
title: Occurrence Download

description: A dataset containing 1369107 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Acer negundo L., Ailanthus altissima (Mill.) Swingle, Amaranthus retroflexus L., Ambrosia artemisiifolia L., Galinsoga parviflora Cav., Helianthus tuberosus L., Heracleum mantegazzianum Sommier & Levier, Impatiens glandulifera Royle, Impatiens parviflora DC., Lupinus polyphyllus Lindl., Lycium barbarum L., Pinus strobus L., Prunus serotina Ehrh., Reynoutria ×bohemica Chrtek & Chrtková, Reynoutria japonica Houtt., Reynoutria sachalinensis (F.Schmidt) Nakai, Robinia pseudoacacia L., Rudbeckia laciniata L., Solidago canadensis L., Solidago gigantea Aiton)"
 ]
}

 The dataset includes 1369107 records from 1648 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076044-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.54j25a
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is University of Hargeisa Herbarium",
 "Issue is Taxon match fuzzy"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0120271-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.epef6b
title: Occurrence Download

description: A dataset containing 20801 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((6.075 52.325,6.125 52.325,6.125 52.375,6.075 52.375,6.075 52.325))",
 "DatasetKey is Observation.org, Nature data from around the World",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 20801 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0307183-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g57ph7
title: Occurrence Download

description: A dataset containing 6034 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhizophora apiculata Blume"
 ]
}

 The dataset includes 6034 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000239-210819072339941/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.25568763
title: Parameters of distributed systems

description: Various parameters of the distributed system are used for testing.
DOI: 10.6084/m9.figshare.25568763.v2
title: Parameters of distributed systems

description: Various parameters of the distributed system are used for testing.
DOI: 10.5281/zenodo.10798143
title: Energy Sufficiency Policy Database

description: This folder contains the policy database belonging to the publication "Building a Database for Energy Sufficiency Policies" (https://doi.org/10.12688/f1000research.108822.2).

Version 1.1 of the database is replacing version 1.0 from January 2023 of the sufficiency policy database. We made the following changes and revisions:



> 70 new policies added

New literature added

One Double ID deleted, two IDs merged

New policy strategies added, others renamed


Acknowledgements:

The database is funded by the Federal Ministry of Education and Research (BMBF) as part of the project “EnSu - Energy Sufficiency in Energy Transition and Society” (https://energysufficiency.de/) within the framework of the Strategy „Research for Sustainability" (FONA) (http://www.fona.de/en) as part of its Social-Ecological Research funding priority, funding nos. [01UU2004A, 01UU2004B, 01UU2004C]. Responsibility for the content of this publication lies with the authors.
DOI: 10.5281/zenodo.5846205
title: Energy Sufficiency Policy Database

description: This folder contains the policy database belonging to the publication "Building a Database for Energy Sufficiency Policies" (https://doi.org/10.12688/f1000research.108822.2).

Version 1.1 of the database is replacing version 1.0 from January 2023 of the sufficiency policy database. We made the following changes and revisions:



> 70 new policies added

New literature added

One Double ID deleted, two IDs merged

New policy strategies added, others renamed


Acknowledgements:

The database is funded by the Federal Ministry of Education and Research (BMBF) as part of the project “EnSu - Energy Sufficiency in Energy Transition and Society” (https://energysufficiency.de/) within the framework of the Strategy „Research for Sustainability" (FONA) (http://www.fona.de/en) as part of its Social-Ecological Research funding priority, funding nos. [01UU2004A, 01UU2004B, 01UU2004C]. Responsibility for the content of this publication lies with the authors.
DOI: 10.6084/m9.figshare.25568907
title: Data and do File (Education)

description: tata data on natural resource revenue sharing and education spending in Indonesia
DOI: 10.6084/m9.figshare.25568907.v1
title: Data and do File (Education)

description: tata data on natural resource revenue sharing and education spending in Indonesia
DOI: 10.5281/zenodo.10949687
title: Registros de gramas marinhas na Bacia de Campos, Brasil
title: Records of seagrasses in the Campos Basin, Brazil

description: Data in Excel format of the occurrence of seagrasses in the Campos Basil, Brazil, used in the Chapter: Figueiredo MAO, Villas-Boas AB, Marque LV, Khader S, Santos FB, Andrade M, Gomes C, Soares AC, Barbosa SO, Oigman-Pszczol SS, Creed JC (2017) Fundos vegetados da Bacia de Campos. In: Lima SOF (ed) Atlas de sensibilidade ambiental ao óleo: caracterização ambiental regional da Bacia de Campos, Atlântico Sudoeste. Elsevier Habitats, Rio de Janeiro: 151-157
DOI: 10.5281/zenodo.10949688
title: Registros de gramas marinhas na Bacia de Campos, Brasil
title: Records of seagrasses in the Campos Basin, Brazil

description: Data in Excel format of the occurrence of seagrasses in the Campos Basil, Brazil, used in the Chapter: Figueiredo MAO, Villas-Boas AB, Marque LV, Khader S, Santos FB, Andrade M, Gomes C, Soares AC, Barbosa SO, Oigman-Pszczol SS, Creed JC (2017) Fundos vegetados da Bacia de Campos. In: Lima SOF (ed) Atlas de sensibilidade ambiental ao óleo: caracterização ambiental regional da Bacia de Campos, Atlântico Sudoeste. Elsevier Habitats, Rio de Janeiro: 151-157
DOI: 10.25345/c5sx64m99
title: MassIVE MSV000094500 - Immunoprecipitation and LC-MS/MS to identify protein partners of the Brain tumor (BRAT) RNA-binding protein during the Drosophila maternal-to-zygotic transition
title: The RNA binding protein, Brain tumor (BRAT), binds to mRNAs through its NHL domain and targets them for degradation and/r translational repression. During early embryogensis of all animals, a subset of maternal mRNAs is degraded during a process know as the maternal to zygotic transition (MZT). BRAT has been shown to bind and destabilize a subset of maternal mRNAs. The goal of this study was to identify possible partner proteins of BRAT in post-transcriptional regulation. To do so, BRAT was immunoprecipitated from 0 to 3 hour old Drosophila embryos with a phage-displayed synthetic antibody and the copurified proteins identified by LC MS relative to IP with a control antibody.
DOI: 10.5281/zenodo.10382856
title: Sample Dataset of Smoke in GOES Imagery

description: 256x256 satellite imagery that contains smoke with labels of Light, Medium or Heavy density smoke.

1000 training samples (2018, 2019, 2020, 2021, 2023)

100 validation samples (even numbered weeks for 2022)

100 testing (odd numbered weeks for 2022)

 

Data sources are NOAA's GOES imagery and NOAA's HMS smoke annotations.
DOI: 10.5281/zenodo.10385811
title: Sample Dataset of Smoke in GOES Imagery

description: 256x256 satellite imagery that contains smoke with labels of Light, Medium or Heavy density smoke.

1000 training samples (2018, 2019, 2020, 2021, 2023)

100 validation samples (even numbered weeks for 2022)

100 testing (odd numbered weeks for 2022)

 

Data sources are NOAA's GOES imagery and NOAA's HMS smoke annotations.
DOI: 10.5281/zenodo.10382855
title: Sample Dataset of Smoke in GOES Imagery

description: 256x256 satellite imagery that contains smoke with labels of Light, Medium or Heavy density smoke.

1000 training samples (2018, 2019, 2020, 2021, 2023)

100 validation samples (every other 10 days for 2022)

100 testing (every other 10 days for 2022)

 

Data sources are NOAA's GOES imagery and NOAA's HMS smoke annotations.
DOI: 10.5281/zenodo.10946629
title: Sample Dataset of Smoke in GOES Imagery

description: 256x256 satellite imagery that contains smoke with labels of Light, Medium or Heavy density smoke.

1000 training samples (2018, 2019, 2020, 2021, 2023)

100 validation samples (every other 10 days for 2022)

100 testing (every other 10 days for 2022)

 

Data sources are NOAA's GOES imagery and NOAA's HMS smoke annotations.
DOI: 10.5281/zenodo.10949495
title: Supporting data for transmembrane domain self association simulations in "Recalibration of protein interactions in Martini 3"

description: This repository contains the data of transmembrane helix self-association simulation from "Recalibration of protein interactions in Martini 3". Simulations were run with the Martini 3.0 force field, along with two modified versions of Martini 3.0 in which the well-depth, ε, in the Lennard-Jones potential between all protein and water beads was rescaled by a factor λPW, ε in the Lennard-Jones potential between all protein beads was rescaled by a factor λPP. The simulation files are kept in one single zip file, which contains trajectories for two protein EphA1 and ErbB1 systems with three versions of force fields. The trajectory files are in xtc format, and are accompanied by a structure in pdb format for system topology and a tpr file to start the simulation. In each version of force field for each protein, name of the files corresponds to that specific umbrella sampling window. Umbrella sampling windows ranges from 0.6 nm to 3.4 nm with a spacing of 0.2 nm.
DOI: 10.5281/zenodo.10949496
title: Supporting data for transmembrane domain self association simulations in "Recalibration of protein interactions in Martini 3"

description: This repository contains the data of transmembrane helix self-association simulation from "Recalibration of protein interactions in Martini 3". Simulations were run with the Martini 3.0 force field, along with two modified versions of Martini 3.0 in which the well-depth, ε, in the Lennard-Jones potential between all protein and water beads was rescaled by a factor λPW, ε in the Lennard-Jones potential between all protein beads was rescaled by a factor λPP. The simulation files are kept in one single zip file, which contains trajectories for two protein EphA1 and ErbB1 systems with three versions of force fields. The trajectory files are in xtc format, and are accompanied by a structure in pdb format for system topology and a tpr file to start the simulation. In each version of force field for each protein, name of the files corresponds to that specific umbrella sampling window. Umbrella sampling windows ranges from 0.6 nm to 3.4 nm with a spacing of 0.2 nm.
DOI: 10.5281/zenodo.10949664
title: Evolutionary Overview of Surface Wave Method Based on Bibliometric Analysis: Past, Current and Future

description: The surface wave method has been a cornerstone in seismic imaging and monitoring across diverse scenarios for the past 70 years. We offers an objective snapshot of the current landscape in surface wave method research through a comprehensive bibliometric analysis. Utilizing both bibliographic and structured network analysis techniques, including Biblioshiny and VOSviewer applications, we meticulously examine the literature spanning from 1952 to 2024, sourced from the Web of Science Core Collection database. This work has been submitted to "SCIENCE CHINA earth science" for peer review ( Guan et al., 2024 ).

The package includes the datasets utilized for bibliometric analysis in the submitted manuscript. It includes a text file named "Refined_TabDelimited_Data.txt" for VOSviewer software and a spreadsheet "Refined_Bibliometrix_Data.xlsx" for Biblioshiny application.