cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6905707
title: MASCDB, a database of images, descriptors and microphysical properties of individual snowflakes in free fall

description: <strong>Dataset overview</strong> This dataset provides data and images of snowflakes in free fall collected with a Multi-Angle Snowflake Camera (MASC) The dataset includes, for each recorded snowflakes: A triplet of gray-scale images corresponding to the three cameras of the MASC A large quantity of geometrical, textural descriptors and the pre-compiled output of published retrieval algorithms as well as basic environmental information at the location and time of each measurement. The pre-computed descriptors and retrievals are available either individually for each camera view or, some of them, available as descriptors of the triplet as a whole. A non exhaustive list of precomputed quantities includes for example: Textural and geometrical descriptors as in <em>Praz et al 2017</em> Hydrometeor classification, riming degree estimation, melting identification, as in <em>Praz et al 2017</em> Blowing snow identification, as in <em>Schaer et al 2020 </em> Mass, volume, gyration estimation<em>, as in Leinonen et al 2021</em> <strong>Data format and structure</strong> The dataset is divided into four <em>.parquet</em> file (for scalar descriptors) and a <em>Zarr</em> database (for the images). A detailed description of the data content and of the data records is available here. <strong>Supporting code</strong> A python-based API is available to manipulate, display and organize the data of our dataset. It can be found on GitHub. See also the code documentation on ReadTheDocs. <strong>Download notes</strong> All files available here for download should be stored in the same folder, if the python-based API is used <em>MASCdb.zarr.zip</em> must be unzipped after download <strong>Version</strong> 0.3 - a new campaign is added to the dataset ("Remoray-2022") 0.2 - rename of variables. Variable precision (digits) standardized 0.1 - first upload
DOI: 10.5281/zenodo.7357697
title: CEA results of the CNRS benchmark using APOLLO3® and TRUST/TrioCFD

description: Results obtained by the French Alternative Energies and Atomic Energy Commission (CEA) using its APOLLO3®-TRUST/TrioCFD code-coupling while calculating the benchmark for fast-spectrum molten salt reactors of the French National Center for Scientific Research (CNRS).
description: {"references": ["Nathan Greiner, Fran\u00e7ois Madiot, Yannick Gorsse, Cyril Patricot & Guillaume Campioni (2023) A New Calculation Strategy for Molten Salt Reactor Neutronic\u2013Thermal-Hydraulic Analysis Implemented with APOLLO3\u00ae and TRUST/TrioCFD, Nuclear Science and Engineering, DOI: 10.1080/00295639.2023.2197043"]}
DOI: 10.5281/zenodo.7357696
title: CEA results of the CNRS benchmark using APOLLO3® and TRUST/TrioCFD

description: Results obtained by the French Alternative Energies and Atomic Energy Commission (CEA) using its APOLLO3®-TRUST/TrioCFD code-coupling while calculating the benchmark for fast-spectrum molten salt reactors of the French National Center for Scientific Research (CNRS).
description: {"references": ["Nathan Greiner, Fran\u00e7ois Madiot, Yannick Gorsse, Cyril Patricot & Guillaume Campioni (2023) A New Calculation Strategy for Molten Salt Reactor Neutronic\u2013Thermal-Hydraulic Analysis Implemented with APOLLO3\u00ae and TRUST/TrioCFD, Nuclear Science and Engineering, DOI: 10.1080/00295639.2023.2197043"]}
DOI: 10.6084/m9.figshare.23628168
title: visualDescriptorsFull.mat

description: This file contains a table of ratings of brodatz images.
DOI: 10.6084/m9.figshare.23628168.v1
title: visualDescriptorsFull.mat

description: This file contains a table of ratings of brodatz images.
DOI: 10.34740/kaggle/dsv/6083339
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.5281/zenodo.7888505
title: Confocal and micro-CT data of Granulobium whitei, holotype, NIGP201648

description: This dataset contains the raw confocal laser scanning microscopy (CLSM) slices and X-ray microtomography (micro-CT) slices for the holotype of <em>Granulobium whitei</em> (NIGP201648) from mid-Cretaceous Burmese amber. This dataset is associated with the publication "Earliest fossil record of Eucradinae in mid-Cretaceous amber from northern Myanmar (Coleoptera: Ptinidae)" (DOI:10.3140/bull.geosci.1876). Confocal images were obtained with a Zeiss LSM710 confocal laser scanning microscope, using the 488 nm (Argon) laser excitation line. The original CZI files are provided, which could be opened by the ZEISS ZEN software. Micro-CT data were obtained with a Zeiss Xradia 520 Versa 3D X-ray microscope. Scanning parameters were as follows: isotropic voxel size, 2.6255 μm; power, 4 W; acceleration voltage, 50 kV; exposure time, 1.5 s; projections, 3001. The TIFF stack is provided.
DOI: 10.5281/zenodo.7888504
title: Confocal and micro-CT data of Granulobium whitei, holotype, NIGP201648

description: This dataset contains the raw confocal laser scanning microscopy (CLSM) slices and X-ray microtomography (micro-CT) slices for the holotype of <em>Granulobium whitei</em> (NIGP201648) from mid-Cretaceous Burmese amber. This dataset is associated with the publication "Earliest fossil record of Eucradinae in mid-Cretaceous amber from northern Myanmar (Coleoptera: Ptinidae)" (DOI:10.3140/bull.geosci.1876). Confocal images were obtained with a Zeiss LSM710 confocal laser scanning microscope, using the 488 nm (Argon) laser excitation line. The original CZI files are provided, which could be opened by the ZEISS ZEN software. Micro-CT data were obtained with a Zeiss Xradia 520 Versa 3D X-ray microscope. Scanning parameters were as follows: isotropic voxel size, 2.6255 μm; power, 4 W; acceleration voltage, 50 kV; exposure time, 1.5 s; projections, 3001. The TIFF stack is provided.
DOI: 10.6084/m9.figshare.15067302
title: North <em>et al</em>. Global risk of heat stress to cattle from climate change. Supplemental data.xlsx

description: <strong>Abstract</strong> Cattle farming is a major source of global food production and livelihoods that is being impacted by climate change. However, despite numerous studies reporting local-scale heat impacts, quantifying the global risk of heat stress to cattle from climate change remains challenging, owing to a lack of comparable data across studies and regions. We conducted a global synthesis of documented heat stress for cattle to identify temperature-humidity conditions associated with decreased production and increased mortality. We then projected how alternative future socio-economic pathways and associated land-use decisions will mitigate or exacerbate heat stress, and mapped this globally. Forty research articles containing 105 records were used to calculate heat stress thresholds for production, fertility and mortality, and 59 records reported the impact of heat stress on milk yield. The median threshold for the onset of negative impacts on cattle was a temperature-humidity index of 68.8 (95% CI: 67.3-70.7). Around 80% of cattle globally are currently exposed to conditions exceeding this threshold for &gt;30 days a year. Under a high greenhouse gas emissions scenario, year-round heat stress for cattle is projected to expand across all tropical regions by 2100, with heat stress of &gt;180 days emerging in temperate regions. Under a low emissions scenario, the expansion of 180 days of heat stress is limited to sub-tropical regions. In all scenarios, heat stress severity will increase most in tropical regions, reducing global milk yields. Future land-use decisions are an important driver of risk. Under a low environmental protection scenario, the greatest expansion of cattle farming is projected for tropical regions (e.g., Amazon and Congo rainforests), where heat stress is also projected to increase the most. This would expose over 500 million more cattle to severe heat risk by 2100. These results highlight the contradiction of pursuing land-use practices that are themselves at high risk from the resulting increase in climate hazards. <strong>This dataset includes the results of the literature review, the included articles and underlying records, and the extracted data (THI thresholds, THI equations, source of equation, impact slopes, species, and more).</strong>
DOI: 10.6084/m9.figshare.15067302.v1
title: North <em>et al</em>. Global risk of heat stress to cattle from climate change. Supplemental data.xlsx

description: <strong>Abstract</strong> Cattle farming is a major source of global food production and livelihoods that is being impacted by climate change. However, despite numerous studies reporting local-scale heat impacts, quantifying the global risk of heat stress to cattle from climate change remains challenging, owing to a lack of comparable data across studies and regions. We conducted a global synthesis of documented heat stress for cattle to identify temperature-humidity conditions associated with decreased production and increased mortality. We then projected how alternative future socio-economic pathways and associated land-use decisions will mitigate or exacerbate heat stress, and mapped this globally. Forty research articles containing 105 records were used to calculate heat stress thresholds for production, fertility and mortality, and 59 records reported the impact of heat stress on milk yield. The median threshold for the onset of negative impacts on cattle was a temperature-humidity index of 68.8 (95% CI: 67.3-70.7). Around 80% of cattle globally are currently exposed to conditions exceeding this threshold for &gt;30 days a year. Under a high greenhouse gas emissions scenario, year-round heat stress for cattle is projected to expand across all tropical regions by 2100, with heat stress of &gt;180 days emerging in temperate regions. Under a low emissions scenario, the expansion of 180 days of heat stress is limited to sub-tropical regions. In all scenarios, heat stress severity will increase most in tropical regions, reducing global milk yields. Future land-use decisions are an important driver of risk. Under a low environmental protection scenario, the greatest expansion of cattle farming is projected for tropical regions (e.g., Amazon and Congo rainforests), where heat stress is also projected to increase the most. This would expose over 500 million more cattle to severe heat risk by 2100. These results highlight the contradiction of pursuing land-use practices that are themselves at high risk from the resulting increase in climate hazards. <strong>This dataset includes the results of the literature review, the included articles and underlying records, and the extracted data (THI thresholds, THI equations, source of equation, impact slopes, species, and more).</strong>
DOI: 10.5281/zenodo.8116727
title: Contrasting evolutionary patterns between sexual and asexual lineages in a genomic region linked to reproductive mode variation in the pea aphid

description: SNP dataset and outputs from BayPass, Popoolation and npstat, together with the script used to plot these data in a submited article entitled "Contrasting evolutionary patterns between sexual and asexual lineages in a genomic region linked to reproductive mode variation in the pea aphid" by M. Rimbault, F. Legeai<sup>,</sup>J. Peccoud, L. Mieuzet, E. Call, P. Nouhaud, H. Defendini, F. Mahéo, W. Marande, N. Théron, D. Tagu, G. Le Trionnaire, J.-C. Simon, J. Jaquiéry<sup>.</sup>
DOI: 10.5281/zenodo.8116726
title: Contrasting evolutionary patterns between sexual and asexual lineages in a genomic region linked to reproductive mode variation in the pea aphid

description: SNP dataset and outputs from BayPass, Popoolation and npstat, together with the script used to plot these data in a submited article entitled "Contrasting evolutionary patterns between sexual and asexual lineages in a genomic region linked to reproductive mode variation in the pea aphid" by M. Rimbault, F. Legeai<sup>,</sup>J. Peccoud, L. Mieuzet, E. Call, P. Nouhaud, H. Defendini, F. Mahéo, W. Marande, N. Théron, D. Tagu, G. Le Trionnaire, J.-C. Simon, J. Jaquiéry<sup>.</sup>
DOI: 10.6084/m9.figshare.23627820
title: genotype_YY_LL_DD

description: Pig genotype data for genomic selection, containing three breed (Duroc, Landrace and Yorkshire).
DOI: 10.6084/m9.figshare.23627820.v2
title: genotype_YY_LL_DD

description: Pig genotype data for genomic selection, containing three breed (Duroc, Landrace and Yorkshire).
DOI: 10.6084/m9.figshare.23627820.v1
title: gene_data_YY_LL_DD

description: Pig genotype data for genomic selection, containing three breed (Duroc, Landrace and Yorkshire).
DOI: 10.15132/10000219
title: SAS (Scottish Ambulance Service) Hypoglycemic

description: This data set contains Hypoglycemic Events and is provided for the whole of Scotland.
description: This data set contains Hypoglycemic Events and is provided for the whole of Scotland. This may be CHI'ed to determine HB residency of patients. Data is refreshed every 6 months and routine uploads are July and December.
DOI: 10.5281/zenodo.8116763
title: Cleaned Data from Behavioural Measure of Learning agility Pilot

description: SPSS file with cleaned and processed data from the Behavioural Measure of Learning agility Pilot
DOI: 10.5281/zenodo.8116762
title: Cleaned Data from Behavioural Measure of Learning agility Pilot

description: SPSS file with cleaned and processed data from the Behavioural Measure of Learning agility Pilot
DOI: 10.34740/kaggle/dsv/6083492
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.34740/kaggle/dsv/6083497
title: 2021 World Population (updated daily)
DOI: 10.6084/m9.figshare.23628450
title: Air-writing digits.zip

description: Air-writing digits based on FMCW radar
DOI: 10.5517/ccdc.csd.cc2fgxsm
title: CCDC 2248671: Experimental Crystal Structure Determination

description: Related Article: Eleanor Dodd, Simon J. Coles, Terry L. Threlfall, Liam Oliver|2023|CSD Communication|||
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: 10.18712/nsd-nsd0969-v1
title: KEU Customer impact surveys 2002

description: At the establishment of the Norwegian Business and Regional Development Fund (SND), emphasis was placed on developing a goal- and results-reporting system that could enable the new institution to develop in a unified manner. After thorough work, a system was implemented in 1994 that would measure effects, activity, and productivity. This system essentially covered all the tools SND managed. For each year, a pre-survey is conducted one year after the service was provided, in addition to a post-survey three to four years later. For the 2002 tool year, Nordlandsforskning conducted an evaluation survey in 2003, in addition to a post-survey in 2006.

The survey covers the following areas:

1. General information about the project for which support is sought
2. Actors and factors important for the initiation/implementation of the project
3. Knowledge of and views on SND's financing options
4. SND's significance for the project
5. Status and expectations for the project/measure/establishment
6. The company's situation relative to others in the same industry
7. The company's goals and business overall
8. Development of networks and collaboration relationships
9. The project/company's results
10. Facts/background about the company

SND's tools are divided into different tool groups. These include low-risk loans, nationwide risk loans, district-oriented risk loans, nationwide development grants, district development grants, founder scholarships, OFU/IFU, basic financing for the fishing fleet, loans for agriculture, and rural development funds. The survey was sent to companies based on which tool group they belong to. For the pre-survey, five different forms were sent out: a basic form (applicable to the group consisting of recipients of risk loans and grants), a form for recipients of basic financing for the fishing fleet, a form for the OFU/IFU group, a form for recipients of founder scholarships, and a form for recipients of agricultural loans and rural development grants. For the post-survey, three forms were sent out (the OFU/IFU group and recipients of basic financing for the fishing fleet are included in the basic form).

SND was established based on the Norwegian Parliament's consideration of the government's bill in Ot.prp. nr. 57 (1991-92) and established with effect from 3 July 1992. At the same time as SND was established, the previous institutions District Development Fund, Small Business Fund, and Industry Fund were discontinued, and their activities were taken up by the new statutory company. From the same time, Industribanken AS was dissolved.
DOI: 10.15161/oar.it/77099
title: Dataset for: Auditory White Noise Exposure Modulates Human Cortical Excitability Patterns

description: dataset for calculating excitability indices
DOI: 10.15161/oar.it/77098
title: Dataset for: Auditory White Noise Exposure Modulates Human Cortical Excitability Patterns

description: dataset for calculating excitability indices
DOI: 10.20387/bonares-rpxj-4w65
title: Green area index of maize during the second trial (2022)

description: Green area index was determined 4 times during the vegetation period (2022). Green area index was measured using LI-3100C Area Meter.

Research domain: Soil Sciences

Research question: None
DOI: 10.5281/zenodo.6826286
title: Transposable element (TE) subfamily cis-regulatory activities estimated from 441 transgene overexpression experiments in human embryonic stem cells (hESCs)

description: Additional file 1 from "Statistical learning quantifies transposable element-mediated cis-regulation", Pulver et al. Raw expression data came from Nakatake et al., Cell Reports 2020 Activities were estimated using craTEs, described in Pulver et al. 2023, with parameter L = 2.5e5 bp. Rows are transposable element (TE) subfamilies, columns are as follow: Estimate: estimated cis-regulatory activity, correponds to a linear regression coefficient Std. Error: standard error of linear regression coefficient t value: t value corresponding to t-test with H0: Estimate = 0 and HA: Estimate != 0 Pr(&gt;|t|) : probability (p-value) of observing a more extreme t value p_adj: p-values adjusted with the Benjamini Hochberg procedure TE: TE subfamily condition: concatenation of the name of the overexpressed transgene and the timepoint transgene: symbol for the overexpressed transgene timepoint: time under transgene induction via DOX treatment
DOI: 10.5281/zenodo.6826287
title: Transposable element (TE) subfamily cis-regulatory activities estimated from 441 transgene overexpression experiments in human embryonic stem cells (hESCs)

description: Additional file 1 from "Statistical learning quantifies transposable element-mediated cis-regulation", Pulver et al. Raw expression data came from Nakatake et al., Cell Reports 2020 Activities were estimated using craTEs, described in Pulver et al. 2022 Row names are transposable element (TE) subfamilies, columns are as follow: Estimate: estimated cis-regulatory activity, correponds to a linear regression coefficient Std. Error: standard error of linear regression coefficient t value: t value corresponding to t-test with H0: Estimate = 0 and HA: Estimate != 0 Pr(&gt;|t|) : probability (p-value) of observing a more extreme t value p_adj: p-values adjusted with the Benjamini Hochberg procedure TE: TE subfamily condition: concatenation of the name of the overexpressed transgene and the timepoint transgene: symbol for the overexpressed transgene timepoint: time under transgene induction via DOX treatment
DOI: 10.5281/zenodo.6826370
title: Transposable element (TE) subfamily cis-regulatory activities estimated from 441 transgene overexpression experiments in human embryonic stem cells (hESCs)

description: Additional file 1 from "Statistical learning quantifies transposable element-mediated cis-regulation", Pulver et al. Raw expression data came from Nakatake et al., Cell Reports 2020 Activities were estimated using craTEs, described in Pulver et al. 2022 Rows are transposable element (TE) subfamilies, columns are as follow: Estimate: estimated cis-regulatory activity, correponds to a linear regression coefficient Std. Error: standard error of linear regression coefficient t value: t value corresponding to t-test with H0: Estimate = 0 and HA: Estimate != 0 Pr(&gt;|t|) : probability (p-value) of observing a more extreme t value p_adj: p-values adjusted with the Benjamini Hochberg procedure TE: TE subfamily condition: concatenation of the name of the overexpressed transgene and the timepoint transgene: symbol for the overexpressed transgene timepoint: time under transgene induction via DOX treatment
DOI: 10.5281/zenodo.8116824
title: Transposable element (TE) subfamily cis-regulatory activities estimated from 441 transgene overexpression experiments in human embryonic stem cells (hESCs)

description: Additional file 1 from "Statistical learning quantifies transposable element-mediated cis-regulation", Pulver et al. Raw expression data came from Nakatake et al., Cell Reports 2020 Activities were estimated using craTEs, described in Pulver et al. 2023, with parameter L = 2.5e5 bp. Rows are transposable element (TE) subfamilies, columns are as follow: Estimate: estimated cis-regulatory activity, correponds to a linear regression coefficient Std. Error: standard error of linear regression coefficient t value: t value corresponding to t-test with H0: Estimate = 0 and HA: Estimate != 0 Pr(&gt;|t|) : probability (p-value) of observing a more extreme t value p_adj: p-values adjusted with the Benjamini Hochberg procedure TE: TE subfamily condition: concatenation of the name of the overexpressed transgene and the timepoint transgene: symbol for the overexpressed transgene timepoint: time under transgene induction via DOX treatment
DOI: 10.5281/zenodo.8116479
title: Appendix of the manuscript: The burden of disease attributable to high body mass index in Belgium

description: These datasets are part of the Appendix of the manuscript: <em>The burden of disease attributable to high body mass index in Belgium </em>from Gorasso et al. Appendix 3 includes the relative risks by age, sex and disease extracted from GBD 2019 used in the manuscript; Appendix 4 includes the results of the population attributable fractions of high body mass index by age, sex and disease derived in the manuscript.
DOI: 10.5281/zenodo.8116478
title: Appendix of the manuscript: The burden of disease attributable to high body mass index in Belgium

description: These datasets are part of the Appendix of the manuscript: <em>The burden of disease attributable to high body mass index in Belgium </em>from Gorasso et al. Appendix 3 includes the relative risks by age, sex and disease extracted from GBD 2019 used in the manuscript; Appendix 4 includes the results of the population attributable fractions of high body mass index by age, sex and disease derived in the manuscript.
DOI: 10.57745/336py5
title: d002.gpkg

description: :unav
DOI: 10.57745/vzybdf
title: d016.gpkg

description: :unav
DOI: 10.57745/x8phcy
title: d008.gpkg

description: :unav
DOI: 10.57745/cm06bm
title: d012.gpkg

description: :unav
DOI: 10.57745/eirfgj
title: d019.gpkg

description: :unav
DOI: 10.57745/lfaqit
title: d017.gpkg

description: :unav
DOI: 10.57745/nrjegk
title: d014.gpkg

description: :unav
DOI: 10.57745/jcbxxm
title: d003.gpkg

description: :unav
DOI: 10.57745/pmpief
title: d018.gpkg

description: :unav
DOI: 10.57745/lf9wtl
title: d009.gpkg

description: :unav
DOI: 10.57745/h3rk8g
title: d010.gpkg

description: :unav
DOI: 10.57745/otipoz
title: d02a.gpkg

description: :unav
DOI: 10.57745/0ap8wf
title: d005.gpkg

description: :unav
DOI: 10.57745/domjxs
title: d006.gpkg

description: :unav
DOI: 10.57745/dgdmhy
title: d013.gpkg

description: :unav
DOI: 10.57745/osrtcy
title: d007.gpkg

description: :unav
DOI: 10.57745/3xbcgq
title: d02b.gpkg

description: :unav
DOI: 10.57745/d01qht
title: d004.gpkg

description: :unav