cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17044/scilifelab.14376881
title: Dataset of SARS-CoV-2 in wastewater in Umeå, Sweden

description: This is a metadata record for a continuously updated dataset of SARS-CoV-2 RNA data in wastewater in Umeå, Sweden.The dataset is part of a research study led by associate professor Maja Malmberg (SLU, Swedish University of Agricultural Sciences) and her research group in collaboration with associate professor Mette Myrmel at the Norwegian University of Life Sciences.<br>The amount of SARS-CoV-2 virus is measured in wastewater from the wastewater treatment facility in Umeå. The research group is part of the Environmental Virus Profiling Research Area of the SciLifeLab National COVID-19 Research Program.https://www.scilifelab.se/covid-19/national-program/environment/<br>After preparation, the viruses are extracted using ultra filtration and analyzed using qPCR technique for SARS CoV-2 RNA. RT-qPCR samples are normalized against Pepper Mild Mottle Virus (PMMoV). From Oct 2020 until January 2021, three samples per week were taken and an average of the three values was calculated to provide a weekly estimate.<br><br>From February to March 2021, samples were only collected at one time point per week, and from April onwards two samples per week are analysed and the average presented. Primers used to detect the SARS-COV-2 gene have been previously used and verified by Corman and colleagues, 2020.<br>For more information see https://www.covid19dataportal.se/data_types/environment/wastewater/ The dataset started week 41 2020 and updates every second week.The dataset is available as part of the Environmental Virus Profiling data section "The amount of SARS-CoV-2 virus in wastewater across Sweden" •https://www.covid19dataportal.se/data_types/environment/wastewater/#umea on the Swedish COVID-19 Data Portal (https://covid19dataportal.se ).<br>Funded by SciLifeLab/KAW National Covid-19 Research Program https://www.scilifelab.se/covid-19/national-program 

<br>
DOI: 10.17044/scilifelab.14376881.v1
title: Dataset of SARS-CoV-2 in wastewater in Umeå, Sweden

description: This is a metadata record for a continuously updated dataset of SARS-CoV-2 RNA data in wastewater in Umeå, Sweden.The dataset is part of a research study led by associate professor Maja Malmberg (SLU, Swedish University of Agricultural Sciences) and her research group in collaboration with associate professor Mette Myrmel at the Norwegian University of Life Sciences.<br>The amount of SARS-CoV-2 virus is measured in wastewater from the wastewater treatment facility in Umeå. The research group is part of the Environmental Virus Profiling Research Area of the SciLifeLab National COVID-19 Research Program.https://www.scilifelab.se/covid-19/national-program/environment/<br>After preparation, the viruses are extracted using ultra filtration and analyzed using qPCR technique for SARS CoV-2 RNA. RT-qPCR samples are normalized against Pepper Mild Mottle Virus (PMMoV). From Oct 2020 until January 2021, three samples per week were taken and an average of the three values was calculated to provide a weekly estimate.<br><br>From February to March 2021, samples were only collected at one time point per week, and from April onwards two samples per week are analysed and the average presented. Primers used to detect the SARS-COV-2 gene have been previously used and verified by Corman and colleagues, 2020.<br>For more information see https://www.covid19dataportal.se/data_types/environment/wastewater/ The dataset started week 41 2020 and updates every second week.The dataset is available as part of the Environmental Virus Profiling data section "The amount of SARS-CoV-2 virus in wastewater across Sweden" •https://www.covid19dataportal.se/data_types/environment/wastewater/#umea on the Swedish COVID-19 Data Portal (https://covid19dataportal.se ).<br>Funded by SciLifeLab/KAW National Covid-19 Research Program https://www.scilifelab.se/covid-19/national-program 

<br>
DOI: 10.17044/scilifelab.14377097
title: Dataset of SARS CoV-2 in wastewater in Örebro, Sweden

description: This is a metadata record for a continuously updated dataset of SARS-CoV-2 RNA data in wastewater in Örebro, Sweden.The dataset is part of a research study led by associate professor Maja Malmberg (SLU, Swedish University of Agricultural Sciences) and her research group in collaboration with associate professor Mette Myrmel at the Norwegian University of Life Sciences. <br>The amount of SARS-CoV-2 virus is measured in wastewater from the wastewater treatment facility in Örebro. The research group is part of the Environmental Virus Profiling Research Area of the SciLifeLab National COVID-19 Research Program.https://www.scilifelab.se/covid-19/national-program/environment/<br>After preparation, the viruses are extracted using ultra filtration and analyzed using qPCR technique for SARS CoV-2 RNA. RT-qPCR samples are normalized against Pepper Mild Mottle Virus (PMMoV). <br>From Oct 2020 until January 2021, three samples per week were taken and an average of the three values was calculated to provide a weekly estimate. <br>From February to March 2021, samples were only collected at one time point per week, and from April onwards two samples per week are analysed and the average presented. Primers used to detect the SARS-COV-2 gene have been previously used and verified by Corman and colleagues, 2020.<br>For more information see https://www.covid19dataportal.se/data_types/environment/wastewater/ The dataset started week 44 2020 and updates every second week.The dataset is available as part of the Environmental Virus Profiling data section "The amount of SARS-CoV-2 virus in wastewater across Sweden" https://www.covid19dataportal.se/data_types/environment/wastewater/#orebroon the Swedish COVID-19 Data Portal (https://covid19dataportal.se ).<br>Funded by the SciLifeLab/KAW National Covid-19 Research Program•https://www.scilifelab.se/covid-19/national-program <br>
DOI: 10.17044/scilifelab.14377097.v1
title: Dataset of SARS CoV-2 in wastewater in Örebro, Sweden

description: This is a metadata record for a continuously updated dataset of SARS-CoV-2 RNA data in wastewater in Örebro, Sweden.The dataset is part of a research study led by associate professor Maja Malmberg (SLU, Swedish University of Agricultural Sciences) and her research group in collaboration with associate professor Mette Myrmel at the Norwegian University of Life Sciences. <br>The amount of SARS-CoV-2 virus is measured in wastewater from the wastewater treatment facility in Örebro. The research group is part of the Environmental Virus Profiling Research Area of the SciLifeLab National COVID-19 Research Program.https://www.scilifelab.se/covid-19/national-program/environment/<br>After preparation, the viruses are extracted using ultra filtration and analyzed using qPCR technique for SARS CoV-2 RNA. RT-qPCR samples are normalized against Pepper Mild Mottle Virus (PMMoV). <br>From Oct 2020 until January 2021, three samples per week were taken and an average of the three values was calculated to provide a weekly estimate. <br>From February to March 2021, samples were only collected at one time point per week, and from April onwards two samples per week are analysed and the average presented. Primers used to detect the SARS-COV-2 gene have been previously used and verified by Corman and colleagues, 2020.<br>For more information see https://www.covid19dataportal.se/data_types/environment/wastewater/ The dataset started week 44 2020 and updates every second week.The dataset is available as part of the Environmental Virus Profiling data section "The amount of SARS-CoV-2 virus in wastewater across Sweden" https://www.covid19dataportal.se/data_types/environment/wastewater/#orebroon the Swedish COVID-19 Data Portal (https://covid19dataportal.se ).<br>Funded by the SciLifeLab/KAW National Covid-19 Research Program•https://www.scilifelab.se/covid-19/national-program <br>
DOI: 10.15468/dl.vduym7
title: Occurrence Download

description: A dataset containing 40742 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Xiphorhynchus flavigaster Swainson, 1827"
 ]
}

 The dataset includes 40742 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071182-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7483/opendata.cms.g32q.g9k7
title: /TprimeBToTH_TLep_Hbb_LH_MT2500_MH175_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.17632/hnw69pt9mh.1
title: Data for: Exploiting a natural instance of vertebrate-posed chemical aposematism for tick bite prevention: repellency of Ixodes scapularis with (E)-Oct-2-enal

description: Ticks are medically important and nuisance arthropods found worldwide. The applications for semiochemical-based tick repellents in personal protection and interventions targeting reproductive/reservoir hosts are understudied. This research evaluated the repellent effects of an allomone isolate of donkey sebum, (E)-oct-2-enal, against adult Ixodes scapularis ticks – the most frequent human-biting tick in the United States. A laboratory filter paper bioassay was used to expose ticks to 20% solutions of (E)-oct-2-enal and DEET. Behavior was observed for 10 min and quantified with a behavior tracking software. Changes in movement speed and peregrination were assessed relative to negative controls (exposed to ethanol). Repellency was defined by preventing ticks from crossing the treated surface and was evaluated as time-to-event data with a cox proportional hazard regression model. The effects of (E)-oct-2- enal presence on repellency, movement speed, and peregrination were stronger or comparable to DEET. Significant reductions in movement speed, increases in peregrination distances, and strong repellency were observed in ticks exposed to either DEET or (E)-oct-2-enal. Repellency was stronger against male ticks than female ticks for both (E)-oct-2-enal and DEET. This work represents the first report, to our knowledge, of the repellency of a natural, vertebrate emitted semiochemical against I. scapularis ticks. Future work is needed to understand the underlying mechanism of action and development of (E)-oct-2-enal formulations for practical use into personal protection or reproductive/reservoir-host targeted tick control products. These data are captured using EthoVision XT by Noldus Information Technologies. Individual trial coordinate data, activity tracks through trial conclusion, and supplemental statistics for activity parameter assessment are detailed.
DOI: 10.7483/opendata.cms.pgdu.4zep
title: /TprimeBToTH_TLep_Hbb_LH_MT2500_MH200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.17632/f3mtx69dgw.1
title: Data for 40Ar/39Ar Geochronology of Meso-Cenozoic magmatism and its aqueous alteration, northern Santos Basin, South Atlantic

description: Two datasets are available: (1) full major and trace element geochemistry data for all samples dated in this study (analytical results produced at ActLabs Canada; (2) complete 40Ar/39Ar results for all sample steps (analyses conducted at UQ-AGES – University of Queensland Argon Geochronology in Earth Sciences – laboratory).
DOI: 10.17044/scilifelab.14501184
title: How Does Liquid-Liquid Phase Separation in Model Membranes Reflect Cell Membrane Heterogeneity?

description: It contains figures from Sych et al, Membranes, 2021. <br>First figure shows visualization of phase separation in synthetic and cell-derived membrane systems using phase selective probesSecond figure shows membrane order in liquid-ordered and liquid-disodered phases of synthetic and cell-derived membranes.Figures are provided in Inkscape svg format. Images are taken with confocal microscopy, and generalized polarization map was generated by using custom FiJi software (Sezgin et al, ChemPhysChem, 2015). <br><br>## Abstract of the paper<br>Although liquid–liquid phase separation of cytoplasmic or nuclear components in cells has<br>been a major focus in cell biology, it is only recently that the principle of phase separation has been<br>a long-standing concept and extensively studied in biomembranes. Membrane phase separation<br>has been reconstituted in simplified model systems, and its detailed physicochemical principles,<br>including essential phase diagrams, have been extensively explored. These model membrane systems<br>have proven very useful to study the heterogeneity in cellular membranes, however, concerns have<br>been raised about how reliably they can represent native membranes. In this review, we will discuss<br>how phase-separated membrane systems can mimic cellular membranes and where they fail to<br>reflect the native cell membrane heterogeneity. We also include a few humble suggestions on which<br>phase-separated systems should be used for certain applications, and which interpretations should<br>be avoided to prevent unreliable conclusions.<br>Researchers are welcome to use the data contained in the dataset for any projects. Please cite this metadata record upon use or when published. We encourage reuse using the same CC BY 4.0 License.<br><br># Software to open files:<br>.csv - Microsoft Excel<br>.tif, .lsm - Fiji (https://imagej.net/Fiji.html#Downloads)<br>.pzfx - GraphPad Prism<br>.svg - Inkscape (https://inkscape.org/)<br>
DOI: 10.7483/opendata.cms.a7f8.hvqt
title: /TprimeBToTH_TLep_Hbb_LH_MT2500_MH200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.17044/scilifelab.14501184.v1
title: How Does Liquid-Liquid Phase Separation in Model Membranes Reflect Cell Membrane Heterogeneity?

description: It contains figures from Sych et al, Membranes, 2021. <br>First figure shows visualization of phase separation in synthetic and cell-derived membrane systems using phase selective probesSecond figure shows membrane order in liquid-ordered and liquid-disodered phases of synthetic and cell-derived membranes.Figures are provided in Inkscape svg format. Images are taken with confocal microscopy, and generalized polarization map was generated by using custom FiJi software (Sezgin et al, ChemPhysChem, 2015). <br><br>## Abstract of the paper<br>Although liquid–liquid phase separation of cytoplasmic or nuclear components in cells has<br>been a major focus in cell biology, it is only recently that the principle of phase separation has been<br>a long-standing concept and extensively studied in biomembranes. Membrane phase separation<br>has been reconstituted in simplified model systems, and its detailed physicochemical principles,<br>including essential phase diagrams, have been extensively explored. These model membrane systems<br>have proven very useful to study the heterogeneity in cellular membranes, however, concerns have<br>been raised about how reliably they can represent native membranes. In this review, we will discuss<br>how phase-separated membrane systems can mimic cellular membranes and where they fail to<br>reflect the native cell membrane heterogeneity. We also include a few humble suggestions on which<br>phase-separated systems should be used for certain applications, and which interpretations should<br>be avoided to prevent unreliable conclusions.<br>Researchers are welcome to use the data contained in the dataset for any projects. Please cite this metadata record upon use or when published. We encourage reuse using the same CC BY 4.0 License.<br><br># Software to open files:<br>.csv - Microsoft Excel<br>.tif, .lsm - Fiji (https://imagej.net/Fiji.html#Downloads)<br>.pzfx - GraphPad Prism<br>.svg - Inkscape (https://inkscape.org/)<br>
DOI: 10.17044/scilifelab.14555520
title: Multianalyte serology in home-sampled blood enables an unbiased assessment of the immune response against SARS-CoV-2

description: Dried blood spot (DBS) samples were collected during spring of 2020 from random and undiagnosed individuals in Stockholm, Sweden. <br>Receiving DBS from 878 participants, we applied multiplexed serology assays to determine IgG and IgM levels against several versions of SARS-CoV-2 proteins (S, RBD, N).<br>The data reports anonymised an normalised "relative antibody titers" obtained in the eluates of the DBS samples. The data can be made available for validation purposes and upon reasonable request. <br>A reasonable request should contain:1) Name of PI and host organisation2) Contact details3) Scientific purpose of data access request4) Commitment to inform when the data has been used in a publication5) Commitment not to host or share the data outside the requesting organisation6) Statement of non-commercial use of data
DOI: 10.17044/scilifelab.14555520.v1
title: Multianalyte serology in home-sampled blood enables an unbiased assessment of the immune response against SARS-CoV-2

description: Dried blood spot (DBS) samples were collected during spring of 2020 from random and undiagnosed individuals in Stockholm, Sweden. <br>Receiving DBS from 878 participants, we applied multiplexed serology assays to determine IgG and IgM levels against several versions of SARS-CoV-2 proteins (S, RBD, N).<br>The data reports anonymised an normalised "relative antibody titers" obtained in the eluates of the DBS samples. The data can be made available for validation purposes and upon reasonable request. <br>A reasonable request should contain:1) Name of PI and host organisation2) Contact details3) Scientific purpose of data access request4) Commitment to inform when the data has been used in a publication5) Commitment not to host or share the data outside the requesting organisation6) Statement of non-commercial use of data
DOI: 10.7483/opendata.cms.p2co.xiec
title: /TprimeBToTH_TLep_Hbb_LH_MT2500_MH250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.17044/scilifelab.14579091
title: Archaic humans have contributed to large-scale variation in modern human T cell receptor genes

description: The dataset contains the repertoire sequencing data from 45 adult volunteers.For
 each case 4 separate TCR repseq libraries were constructed after cDNA 
synthesis using a UMI containing primer located in the constant exon of 
the TRA, TRD, TRB and TRG genes respectively. In each case a 5’ 
multiplex set of primers specific for the leader regions of the V genes 
of either TRA, TRD, TRB or TRG genes was used along with a universal 
reverse primer, introduced during the cDNA synthesis step to produce the
 gene specific repseq library.The
 libraries were sequenced using the Illumina 2 x 300 cycle MiSeq system 
at the Karlsson Hedestam Laboratory at the Department of Microbiology, 
Tumor and Cell Biology at Biomedicum, Karolinska Institutet, Stockholm. <br><br><b>Terms for access</b>The
 datasets are only to be used for research that is seeking to advance 
the understanding of the influence of TCR genetic variation on human 
biology.<br><br>
DOI: 10.17044/scilifelab.14579091.v1
title: Archaic humans have contributed to large-scale variation in modern human T cell receptor genes

description: The dataset contains the repertoire sequencing data from 45 adult volunteers.For
 each case 4 separate TCR repseq libraries were constructed after cDNA 
synthesis using a UMI containing primer located in the constant exon of 
the TRA, TRD, TRB and TRG genes respectively. In each case a 5’ 
multiplex set of primers specific for the leader regions of the V genes 
of either TRA, TRD, TRB or TRG genes was used along with a universal 
reverse primer, introduced during the cDNA synthesis step to produce the
 gene specific repseq library.The
 libraries were sequenced using the Illumina 2 x 300 cycle MiSeq system 
at the Karlsson Hedestam Laboratory at the Department of Microbiology, 
Tumor and Cell Biology at Biomedicum, Karolinska Institutet, Stockholm. <br><br><b>Terms for access</b>The
 datasets are only to be used for research that is seeking to advance 
the understanding of the influence of TCR genetic variation on human 
biology.<br><br>
DOI: 10.7483/opendata.cms.nqy5.8n6j
title: /TprimeBToTH_TLep_Hbb_LH_MT2500_MH250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.17044/scilifelab.14661213
title: Dataset of SARS-CoV-2 wastewater data from Knivsta, Sweden

description: This is a metadata record for a continuously updated dataset of SARS-CoV-2 RNA data in wastewater in Knivsta.<br>The dataset is part of a research study led associate professor Anna J. Székely (SLU, Swedish University of Agricultural Sciences) and her research groups in collaboration with Uppsala Vatten. The research group is part of the Environmental Virus Profiling Research Area of the SciLifeLab National COVID-19 Research Program.<br>The viral content is concentrated according to the protocol from Ahmed et al. https://doi.org/10.1016/j.scitotenv.2020.139960according to the modified electronegative filtration method. Viral RNA is extracted and SARS-CoV-2 gene copy nr quantified using R-qPCR. Recovery efficiency is measured using Bovine coronavirus (BCoV) as a virus surrogate. Pepper mild mottle virus (PPMoV) is used to correct for variations in water size and flow. For more information see<br>https://www.covid19dataportal.se/data_types/environment/wastewater/#uppsala<br>The dataset started week 12 2021 and updates weekly.<br>The dataset is available as part of the Environmental Virus Profiling data section " The amount of SARS-CoV-2 virus in wastewater across Sweden" https://www.covid19dataportal.se/data_types/environment/wastewater/#uppsala on the Swedish COVID-19 Data Portal (https://covid19dataportal.se). The dataset is also available as part of the CRUSH Covid project https://crush-covid.shinyapps.io/crush_covid/
DOI: 10.17044/scilifelab.14661213.v1
title: Dataset of SARS-CoV-2 wastewater data from Knivsta, Sweden

description: This is a metadata record for a continuously updated dataset of SARS-CoV-2 RNA data in wastewater in Knivsta.<br>The dataset is part of a research study led associate professor Anna J. Székely (SLU, Swedish University of Agricultural Sciences) and her research groups in collaboration with Uppsala Vatten. The research group is part of the Environmental Virus Profiling Research Area of the SciLifeLab National COVID-19 Research Program.<br>The viral content is concentrated according to the protocol from Ahmed et al. https://doi.org/10.1016/j.scitotenv.2020.139960according to the modified electronegative filtration method. Viral RNA is extracted and SARS-CoV-2 gene copy nr quantified using R-qPCR. Recovery efficiency is measured using Bovine coronavirus (BCoV) as a virus surrogate. Pepper mild mottle virus (PPMoV) is used to correct for variations in water size and flow. For more information see<br>https://www.covid19dataportal.se/data_types/environment/wastewater/#uppsala<br>The dataset started week 12 2021 and updates weekly.<br>The dataset is available as part of the Environmental Virus Profiling data section " The amount of SARS-CoV-2 virus in wastewater across Sweden" https://www.covid19dataportal.se/data_types/environment/wastewater/#uppsala on the Swedish COVID-19 Data Portal (https://covid19dataportal.se). The dataset is also available as part of the CRUSH Covid project https://crush-covid.shinyapps.io/crush_covid/