cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18712/nsd-nsd3113-v4
title: Norwegian Citizen Panel Round 25, 2022

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time in the fall of 2013, and as of 2017 the survey is carried out three times a year. The data set for The Norwegian Citizen Panel Wave 25, 2022  also contains variables from previous waves, the wave number is indicated by the number after "r" in the variable name. The University of Bergen owns and is responsible for the Citizen panel. The company ideas2evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. The different datasets of the Norwegian Citizen Panel have different ID numbers to prevent the identification of individual participants across rounds. If access to data that follows participants over time (time-series/panel data) is desired, then it must be applied for by contacting DIGSSCORE (uib.no/digsscore / digsscore@uib.no). The same applies to text data and other data that is withheld in these datasets for privacy reasons. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at https://www.uib.no/en/citizen. 

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.18712/nsd-nsd3127-v4
title: Norwegian Citizen Panel wave 26, 2023

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time in the fall of 2013, and as of 2017 the survey is carried out three times a year. The data set for The Norwegian Citizen Panel Wave 26, 2023 also contains variables from previous waves, the wave number is indicated by the number after "r" in the variable name. Round 26 contains coordinated questions with other panels, and that 'k2' after the round number indicates coordinated questions. The University of Bergen owns and is responsible for the Citizen panel. The company ideas2evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research . The different datasets of the Norwegian Citizen Panel have different ID numbers to prevent the identification of individual participants across rounds. If access to data that follows participants over time (time-series/panel data) is desired, then it must be applied for by contacting DIGSSCORE (uib.no/digsscore / digsscore@uib.no). The same applies to text data and other data that is withheld in these datasets for privacy reasons. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at uib.no/en/citizen

Some of the questions in wave 26 are part of a system of coordinated surveys (“KODEM Light”), which also collects information about beliefs and convictions of elected representatives (uib.no/representant), and government employees (uib.no/NFP). This mode of data collection enables innovative research of groups that comprise parts of the political body in Norway.

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.25345/c50000b00
title: MassIVE MSV000093445 - Metabolic fingerprinting of Buparvaquone and MMV1028806 compared to Atovaquone with 13C Glucose on T. gondii
title: HFF cells were infected with PruTom at MOI 1. Intracellular parasites were treated with Atovaquone, Buparvaquone, or MMV1028806 and incubated for three hours with DMEM containing either 25 mM U-13C-glucose or 4 mM 15N-amide-glutamine instead of the respective unlabeled carbon sources. Cultures were quenched in ice-cold PBS and parasites were isolated from their host cells by passaging scraped monolayers through a 23 G needle, filtered through a 3 um polycarbonate filter and after microscopic counting distributed at 1 x 108 parasites per sample. Parasites were washed with ice-cold PBS via 5 min centrifugation at 21'500 x g at 0 degrees. Metabolites were then extracted by sonication for 2 min in 50 uL 80 percent acetonitrile in water. The insoluble particles were pelleted for 5 min at 21,500 x g at 0 degrees. 5 uL of each sample was collected to generate a pooled biological quality control (PBQC) which was injected regularly into the otherwise randomized run list. 5 uL of each sample was injected onto either an ACQUITY UPLC BEH amide column (Waters) equipped with a VanGuard amide pre-column (Waters) or onto a SeQuant ZIC-pHILIC (Merck) column with an OPTI-LYNX ZIC-pHILIC guard column cartridge (Optimize Technologies) operating on a Vanquish Flex (Thermo Fisher). Analytes were chromatographically separated starting with 100 percent eluent A (90 percent acetonitrile in water with 10 mM ammonium carbonate) and 0 percent eluent B (10 mM ammonium carbonate in water), decreasing to 40percent A and 60percent B over 25 min. Metabolites were detected on a Q Exactive Plus (Thermo Fisher) equipped with an electrospray ionization source. To increase coverage of the isotopologues, metabolites were measured in positive and negative mode separately without MS2 scans but with an increased MS1 scan resolution of 140k.
DOI: 10.5281/zenodo.10077992
title: Wastewater-based epidemiology applied at the building-level reveals distinct virome profiles based on the age of the contributing individuals (II)

description: Metagenomic analysis of viruses in wastewater from sewers representing different age group populations
DOI: 10.5281/zenodo.10077991
title: Wastewater-based epidemiology applied at the building-level reveals distinct virome profiles based on the age of the contributing individuals (II)

description: Metagenomic analysis of viruses in wastewater from sewers representing different age group populations
DOI: 10.5281/zenodo.10078619
title: Wastewater-based epidemiology applied at the building-level reveals distinct virome profiles based on the age of the contributing individuals (III)

description: Metagenomic analysis of viruses in wastewater from sewers representing different age group populations
DOI: 10.5281/zenodo.10078620
title: Wastewater-based epidemiology applied at the building-level reveals distinct virome profiles based on the age of the contributing individuals (III)

description: Metagenomic analysis of viruses in wastewater from sewers representing different age group populations
DOI: 10.5281/zenodo.10172384
title: EMP antiaging
DOI: 10.5281/zenodo.10172381
title: EMP antiaging
DOI: 10.5281/zenodo.10149180
title: Wastewater-based epidemiology applied at the building-level reveals distinct virome profiles based on the age of the contributing individuals (IV)

description: Metagenomic analysis of viruses in wastewater from sewers representing different age group populations
DOI: 10.5281/zenodo.10149181
title: Wastewater-based epidemiology applied at the building-level reveals distinct virome profiles based on the age of the contributing individuals (IV)

description: Metagenomic analysis of viruses in wastewater from sewers representing different age group populations
DOI: 10.5281/zenodo.10158645
title: Wastewater-based epidemiology applied at the building-level reveals distinct virome profiles based on the age of the contributing individuals (V)

description: Metagenomic analysis of viruses in wastewater from sewers representing different age group populations
DOI: 10.5281/zenodo.10158646
title: Wastewater-based epidemiology applied at the building-level reveals distinct virome profiles based on the age of the contributing individuals (V)

description: Metagenomic analysis of viruses in wastewater from sewers representing different age group populations
DOI: 10.5281/zenodo.10172315
title: Simulation of smFISH experiments on mouse lung tissue with simTissue

description: Simulations of smFISH experiments on mouse lung tissue simulated with the package simTissue (https://github.com/tdefa/SimTissue)
These simulations are generated from scRNA-seq data and smFISH experemient from: Curras-Alonso, S., Soulier, J., Defard, T. et al. An interactive murine single-cell atlas of the lung responses to radiation injury. Nat Commun 14, 2445 (2023). https://doi.org/10.1038/s41467-023-38134-z
the folder 'df_spots' contains the spot coordinates of each image:- The pixel scale zxy is [300, 0.108, 0.108]
the column cell is the cell_id of the corresponding cell in the nucleus mask and cytoplasm mask.
the folder 'cytoplasm' contains the cytoplasm masks.- some cells are simulated without a nucleus to better mimic smFISH tissue experiment
the folder 'nuclei' contains the nucleus segmentation. Not all cells have a nucleus
the folder 'dict_centroid' contains the coordinate of the centroid of each nucleus.
the folder df_cell_type contains the ground truth cell type name of each cell
Contact  : thomas.defard@mines-paristech.fr
DOI: 10.5281/zenodo.10172316
title: Simulation of smFISH experiments on mouse lung tissue with simTissue

description: Simulations of smFISH experiments on mouse lung tissue simulated with the package simTissue (https://github.com/tdefa/SimTissue)
These simulations are generated from scRNA-seq data and smFISH experemient from: Curras-Alonso, S., Soulier, J., Defard, T. et al. An interactive murine single-cell atlas of the lung responses to radiation injury. Nat Commun 14, 2445 (2023). https://doi.org/10.1038/s41467-023-38134-z
the folder 'df_spots' contains the spot coordinates of each image:- The pixel scale zxy is [300, 0.108, 0.108]
the column cell is the cell_id of the corresponding cell in the nucleus mask and cytoplasm mask.
the folder 'cytoplasm' contains the cytoplasm masks.- some cells are simulated without a nucleus to better mimic smFISH tissue experiment
the folder 'nuclei' contains the nucleus segmentation. Not all cells have a nucleus
the folder 'dict_centroid' contains the coordinate of the centroid of each nucleus.
the folder df_cell_type contains the ground truth cell type name of each cell
Contact  : thomas.defard@mines-paristech.fr
DOI: 10.5281/zenodo.10159405
title: Identifying architectural design decisions for achieving green ML serving

description: Data extraction for Identifying architectural design decisions for achieving green ML serving
DOI: 10.5281/zenodo.10159406
title: Identifying architectural design decisions for achieving green ML serving

description: Data extraction for Identifying architectural design decisions for achieving green ML serving
DOI: 10.5281/zenodo.10172818
title: Identifying architectural design decisions for achieving green ML serving

description: Data extraction for Identifying architectural design decisions for achieving green ML serving
DOI: 10.6084/m9.figshare.24417061
title: Datasheet_DD_project.xlsx

description: We study the impact of density dependent demographic traits on variation in density dependence of population dynamics in <i>Tribolium castaneum, </i>via experiments and modelling.
DOI: 10.6084/m9.figshare.24417061.v2
title: Datasheet_DD_project.xlsx

description: We study the impact of density dependent demographic traits on variation in density dependence of population dynamics in <i>Tribolium castaneum, </i>via experiments and modelling.
DOI: 10.6084/m9.figshare.24417061.v1
title: Datasheet_DD_project.xlsx

description: We study the impact of density dependent demographic traits on variation in density dependence of population dynamics in <i>Tribolium castaneum, </i>via experiments and modelling.
DOI: 10.5281/zenodo.10160700
title: A StarDist Journey (dataset and exercises)

description: A dataset (with images of nuclear stainings) with some step-by-step exercises to discover StarDist, the usefulness of the tool and its limitations.
DOI: 10.5281/zenodo.10160701
title: A StarDist Journey (dataset and exercises)

description: A dataset (with images of nuclear stainings) with some step-by-step exercises to discover StarDist, the usefulness of the tool and its limitations.
DOI: 10.5281/zenodo.10173395
title: A StarDist Journey (dataset and exercises)

description: A dataset (with images of nuclear stainings) with some step-by-step exercises to discover StarDist, the usefulness of the tool and its limitations.
DOI: 10.5281/zenodo.10172872
title: Dataset in csv format containing labor force data in a synthetic population
DOI: 10.5281/zenodo.10172873
title: Dataset in csv format containing labor force data in a synthetic population
DOI: 10.25345/c5v698p4z
title: MassIVE MSV000093446 - Targeted LC-MS data associated with These data are associated with 'Selection on the gut microbiome drives activity behaviors in mice. Suzuki et.al'
title: These data are associated with 'Selection on the gut microbiome drives activity behaviors in mice. Suzuki et.al' Phenotypic variation, resulting from both genotypic variation and environmental factors driving phenotypic plasticity, is the target of natural selection. Host-associated microbial communities also contribute to shaping host phenotypic diversity. However, it remains unclear whether the microbiome can drive variation in host traits in response to selection independently of host evolution. Here, we aimed to investigate whether selection can alter microbiome-mediated host traits without changes in the host genome. Initial fecal transplants from wild-derived mice to germfree recipients indicated that mouse activity behavior was highly influenced by differences in microbiomes. Using an initial donor mouse line that conferred high levels of activity to recipient germfree mice, we performed serial fecal transplants either selecting donors based on low activity levels, or selected random donors, for five rounds of selection. The results revealed significant shifts in activity behavior induced by changes in the microbiome without concurrent host evolution. Furthermore, we identified specific microbial taxa, gene pathways, and metabolites associated with the observed changes in mouse activity behavior. These findings demonstrate that selection on microbial community-level function alone can induce adaptive host phenotypes over time, suggesting that the microbiome acts as an epigenetic factor driving mammalian ecology and evolution.
DOI: 10.5281/zenodo.7515227
title: Survey data on the digitalization of informal businesses in the Global South

description: During the spring of 2022, the UNDP Accelerator Labs created an online survey to investigate the uptake of digital tools by informal businesses in the Global South. 


We uploaded the questionnaire onto a digital surveys platform (https://www.kobotoolbox.org/). We then reached out through UNDP’s network of informal or small businesses in 16 countries, inviting them to complete the questionnaire and spread awareness about it. This implies that respondents are in no way a random sample of the target populations; this choice was made in the interest of speed and cost-effectiveness. We obviously claim no representativity, though we believe that some of our results are strong enough to be considered, to a first approximation, valid as a big picture.  


1,013 questionnaires from 16 countries, covering all UNDP regions, were completed. In the remaining three countries, we received fewer than 30 completed questionnaire, and decided to discard them. At the country level, the number of respondents ranges from 25 (Ecuador) to 306 (Peru). Our own analysis of the data is published here: https://doi.org/10.5281/zenodo.7896327.
DOI: 10.5281/zenodo.7515228
title: Survey data on the digitalization of informal businesses in the Global South

description: During the spring of 2022, the UNDP Accelerator Labs created an online survey to investigate the uptake of digital tools by informal businesses in the Global South. 


We uploaded the questionnaire onto a digital surveys platform (https://www.kobotoolbox.org/). We then reached out through UNDP’s network of informal or small businesses in 16 countries, inviting them to complete the questionnaire and spread awareness about it. This implies that respondents are in no way a random sample of the target populations; this choice was made in the interest of speed and cost-effectiveness. We obviously claim no representativity, though we believe that some of our results are strong enough to be considered, to a first approximation, valid as a big picture.  


1,013 questionnaires from 16 countries, covering all UNDP regions, were completed. In the remaining three countries, we received fewer than 30 completed questionnaire, and decided to discard them. At the country level, the number of respondents ranges from 25 (Ecuador) to 306 (Peru). Our own analysis of the data is published here: https://doi.org/10.5281/zenodo.7896327.
DOI: 10.22008/fk2/sd56cb/qswol8
title: albedo_bb_planar_sw.tif

description: SICE NRT
DOI: 10.22008/fk2/sd56cb/8rzkdp
title: r_TOA_01.tif

description: SICE NRT
DOI: 10.22008/fk2/sd56cb/a7ifz8
title: albedo_bb_planar_sw.tif

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title: albedo_bb_planar_sw.tif

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DOI: 10.22008/fk2/sd56cb/j6cawm
title: r_TOA_01.tif

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title: r_TOA_06.tif

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DOI: 10.22008/fk2/sd56cb/rbskfv
title: r_TOA_01.tif

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title: r_TOA_06.tif

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title: r_TOA_06.tif

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title: r_TOA_17.tif

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title: r_TOA_21.tif

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title: r_TOA_21.tif

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title: r_TOA_17.tif

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title: r_TOA_21.tif

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title: r_TOA_17.tif

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DOI: 10.22008/fk2/sd56cb/ccdtge
title: SCDA_final.tif

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title: SCDA_final.tif

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title: snow_specific_surface_area.tif

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title: snow_specific_surface_area.tif

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title: SCDA_final.tif

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title: snow_specific_surface_area.tif

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DOI: 10.22008/fk2/sd56cb/igxb7h
title: albedo_bb_planar_sw.tif

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