cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12401168.v9
title: The Brain Hierarchy Score

description: Here we provide data used in Nonaka, Majima, Aoki, & Kamitani (2021) Brain hierarchy score: Which deep neural networks are hierarchically brain-like? <i>iScience</i>.<br><br>See also https://github.com/KamitaniLab/BHscore.<br><br>History:<br><br>2021-12-24 Add encoding accuracy data (encoding_accuracy.zip)<br><br>2020-08-08 Add DNN unit activation data (features-*.zip)<br><br>2020-08-03 Update directory organization in decoding_accuracy.zip<br>
DOI: 10.6084/m9.figshare.18586052
title: Consent form

description: Consent form in local language and English
DOI: 10.6084/m9.figshare.18586052.v2
title: Consent form

description: Consent form in local language and English
DOI: 10.6084/m9.figshare.18586052.v1
title: Untitled Item

description: Consent form in local language and English
DOI: 10.5281/zenodo.5869378
title: Daset related to article:"Trends in survival of ALS from a population-based registry"

description: Database including all raw data related to the publication entitled "Trends in survival of ALS from a population-based registry"
DOI: 10.5281/zenodo.5869377
title: Daset related to article:"Trends in survival of ALS from a population-based registry"

description: Database including all raw data related to the publication entitled "Trends in survival of ALS from a population-based registry"
DOI: 10.48420/16676776
title: Waters Thesis 2021: Halogen Heterogeneity in the Icelandic Mantle Source Supplementary Data

description: Supplementary Data for Thesis: Halogen Heterogeneity in the Icelandic Mantle Source.
DOI: 10.48420/16676776.v1
title: Waters Thesis 2021: Halogen Heterogeneity in the Icelandic Mantle Source Supplementary Data

description: Supplementary Data for Thesis: Halogen Heterogeneity in the Icelandic Mantle Source.
DOI: 10.6084/m9.figshare.18586079
title: Raw data Literatuur study.xlsx

description: This table presents the results of analyzing 33 selected articles to discover recruitment strategies for preventive interventions.
DOI: 10.6084/m9.figshare.18586079.v1
title: Raw data Literatuur study.xlsx

description: This table presents the results of analyzing 33 selected articles to discover recruitment strategies for preventive interventions.
DOI: 10.23728/fmi-b2share.a21e7570e08848c38fc1b956439d52ee
title: LES simulations of "Parameterising cloud base updraft velocity of marine stratocumuli" -manuscript

description: This data holds the UCLALES-SALSA simulations to have been used to create updraft velocity parameterisations. See https://github.com/ECLAIRscripts/README/ for further information. Files available: root folder: https://a3s.fi/swift/v1/AUTH_d32bf55731e24fa39f34f23d1bb74d86/project_2001927-eclair_training_simulations/
DOI: 10.34810/data146/1
title: readme_OCATA.txt

description: readme file of OCATA datataset
DOI: 10.5519/qd.chwgewp4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (19 records)
DOI: 10.6084/m9.figshare.18586082
title: Plagiothecium talbotii, a new species from the Aleutian Islands (Alaska, U.S.A.)

description: Submission contains aligned sequences of ITSrpl16 matrix used in phylogeny studies of Plagiothecium in fasta format (ITSrpl16.txt); tree files from ML and BI analyses (respectively: ITSrpl16.txt.contree and ITSrpl16align.nex.con.tre) and best model selection for ITSrpl16 matrix generated by PartitionFinder (best_scheme.txt)
DOI: 10.6084/m9.figshare.18586082.v1
title: Plagiothecium talbotii, a new species from the Aleutian Islands (Alaska, U.S.A.)

description: Submission contains aligned sequences of ITSrpl16 matrix used in phylogeny studies of Plagiothecium in fasta format (ITSrpl16.txt); tree files from ML and BI analyses (respectively: ITSrpl16.txt.contree and ITSrpl16align.nex.con.tre) and best model selection for ITSrpl16 matrix generated by PartitionFinder (best_scheme.txt)
DOI: 10.17894/ucph.896600a3-eff0-4c8f-8a90-fa165ed35479
title: Meteorological data from the Taastrup Climate and Water Balance Station 2014-2021

description: The dataset contains meteorological data from the Taastrup climate and water balance station operated by the Department of Plant and Environmental Sciences of Copenhagen University. The station is designed to provide data for the calculation of reference evapotranspiration according to the Penman equation, with air temperature, relative humidity, wind speed, and short-wave and long-wave radiation sensors installed at the height of 2 m above a grass surface equipped with soil heat flux sensors installed 5 cm below the surface. In addition, measurements of diffuse short-wave radiation, incoming ultraviolet and incoming photosynthetic active radiation are available from 2021. Solid precipitation of rain and snow is measured using weighing gauges installed at 1.5 m and 0 m. The datasets cover 2014.01.01 to 2021.12.31 and are available in daily, hourly or 10 minutes time resolutions. A reference metadata file supplements each data set, providing data units, sensor type, logging intervals and quality assurance procedure.
DOI: 10.5281/zenodo.5866661
title: npSize_SAXS_data_PTB

description: Complete SAXS dataset of non-spherical particles measured by the Physikalisch-Technische Bundesanstalt at synchrotron facility Bessy II, Berlin, Germany. This work was partly funded by the 17NRM04 nPSize project of the EMPIR programme co-financed by the EMPIR participating states and by the European Union's Horizon 2020 research and innovation programme. Compared to the previous dataset, the files' header have been modified to facilitate data handling.
description: Values of q are presented in 1/nm, values of I/Ierr_stdv are presented in 1/cm.
DOI: 10.4121/16873270
title: Data underlying the study on the development of the HUBBI

description: This data file contains all data that has been used for the development of the eHealth Usability Benchmarking Instrument (HUBBI). It contains the anonymized survey data of 148 participants that took part in this study. The data set includes includes data on general demographics, task performance and the scores on the HUBBI questionnaire. <br>
DOI: 10.4121/16873270.v1
title: Data underlying the study on the development of the HUBBI

description: This data file contains all data that has been used for the development of the eHealth Usability Benchmarking Instrument (HUBBI). It contains the anonymized survey data of 148 participants that took part in this study. The data set includes includes data on general demographics, task performance and the scores on the HUBBI questionnaire. <br>
DOI: 10.6084/m9.figshare.17105393
title: Study 3: Dataset and Syntax

description: Study 3<br>
DOI: 10.6084/m9.figshare.17105390
title: Study 2: Dataset and Syntax

description: Study 2<br>
DOI: 10.6084/m9.figshare.17105390.v1
title: Study 2: Dataset and Syntax

description: Study 2<br>
DOI: 10.6084/m9.figshare.17105351
title: Study 1: Dataset and Syntax

description: Study 1<br>
DOI: 10.6084/m9.figshare.18099515.v1
title: metabolic data.xlsx

description: Using the wide range of targeted technologies and a combination of means (UPLC-MS/MS detection platform, self-built database, and multivariate statistical analysis), the addition of SBS was found to restore the levels of metabolites pathways (e.g., L-malic acid, N-acetyl-aspartic acid, N-acetyl-l-alanine, etc.) in rats, which means that the metabolic damage induced by CCl<sub>4</sub>was alleviated.
DOI: 10.6084/m9.figshare.18585542.v1
title: Transcriptome profiling and RNA interference reveals relevant detoxification genes in Monochamus alternatus response to (+)-α-pinene

description: The mechanism of how insects defend against toxic effects of phytochemicals provides an interesting insight for the study of interactions in plant-herbivore. <i>Monochamus alternatus</i> Hope, as the main vector of pine wood nematode, prefers masson pine as host and causes huge economic and environmental losses every year. α-Pinene is the primary component of resin from masson pine and plays a key role in resisting invasive pests, but little is known about the effects of α-pinene against <i>M. alternatus</i>. Here, bioassays and an RNA-Seq approach were used to explore the physiological metabolism in larvae after (+)-α-pinene fumigation treatment.
DOI: 10.15161/oar.it/74416
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.48370/ofd/nyagli/01n5jv
title: Betula utilis var. jacquenmonti_pąki - ekstrakt substancji lotnych.pdf

description: :unav
DOI: 10.48370/ofd/nyagli
title: Betula utilis var. jacquenmonti_pąki - ekstrakt substancji lotnych

description: ekstrakt substancji lotnych
DOI: 10.6084/m9.figshare.18586193
title: Data and dofile.rar

description: Data and dofile
DOI: 10.6084/m9.figshare.18586193.v2
title: Data and dofile.rar

description: Data and dofile
DOI: 10.48370/ofd/7oemju/ekowxu
title: Betula alleghaniensis_pąki - ekstrakt substancji lotnych.pdf

description: :unav
DOI: 10.48370/ofd/7oemju
title: Betula alleghaniensis_pąki - ekstrakt substancji lotnych

description: ekstrakt substancji lotnych
DOI: 10.48370/ofd/waurd9/hr1nzp
title: Betula chichibuensis_pąki - ekstrakt substancji lotnych.pdf

description: :unav
DOI: 10.48370/ofd/waurd9
title: Betula chichibuensis_pąki - ekstrakt substancji lotnych

description: ekstrakt substancji lotnych
DOI: 10.5281/zenodo.5856460
title: Simulated data for Correspondence on NanoVar's performance outlined by Jiang T. et al.

description: Simulated data were generated as described by Jiang et al. 2021 with several modifications due to the encountering of errors. Please refer to https://github.com/cytham/nv_benchmark_jiang/blob/main/commands.md for the commands to replicate the analysis.
DOI: 10.5281/zenodo.5856459
title: Simulated data for Correspondence on NanoVar's performance outlined by Jiang T. et al.

description: Simulated data were generated as described by Jiang et al. 2021 with several modifications due to the encountering of errors. Please refer to https://github.com/cytham/nv_benchmark_jiang/blob/main/commands.md for the commands to replicate the analysis.
DOI: 10.1285/i18285368axxxivn98
title: a. XXXIV n.s., n. 98 (2020)
DOI: 10.1285/i18285368axxxivn99
title: a. XXXIV n.s., n. 99 (2020)
DOI: 10.6084/m9.figshare.18586733
title: dsx_f.h5

description: File used to plot nucleotide diversity in females population
DOI: 10.6084/m9.figshare.18586160
title: dsx_variant_seq_norm_M.vcf

description: VCF file containing SNPs of female mosquitoes
DOI: 10.6084/m9.figshare.18586154.v1
title: Female_sample_ID.txt

description: Accession number ID for females mosquitoes samples
DOI: 10.6084/m9.figshare.18586157.v1
title: dsx_m.h5

description: Data used to plot nucleotide diversity in male mosquitoes
DOI: 10.6084/m9.figshare.18586733.v1
title: dsx_f.h5

description: File used to plot nucleotide diversity in females population
DOI: 10.6084/m9.figshare.18586157
title: dsx_m.h5

description: Data used to plot nucleotide diversity in male mosquitoes
DOI: 10.6084/m9.figshare.18586163
title: dsx_variant_seq_norm_F.vcf

description: VCF file containing SNPs information in male mosquitoes
DOI: 10.6084/m9.figshare.18586166
title: Male_Sample_ID.txt

description: Accession number of male samples ID
DOI: 10.6084/m9.figshare.18586163.v1
title: dsx_variant_seq_norm_F.vcf

description: VCF file containing SNPs information in male mosquitoes
DOI: 10.6084/m9.figshare.18586154
title: Female_sample_ID.txt

description: Accession number ID for females mosquitoes samples
DOI: 10.6084/m9.figshare.18586160.v1
title: dsx_variant_seq_norm_M.vcf

description: VCF file containing SNPs of female mosquitoes
DOI: 10.1285/i18285368axxxvn100
title: a. XXXV n.s., n. 100 (2021)
DOI: 10.6084/m9.figshare.18586166.v1
title: Male_Sample_ID.txt

description: Accession number of male samples ID
DOI: 10.48544/870ee382-27d5-4b28-a74c-b31529cd32a0
title: Tracing cultural citizenship online
DOI: 10.5281/zenodo.5869807
title: Spatial patterns in neighbourhood effects on woody plant selection and bark stripping by deer in a lowland alluvial forest

description: This dataset presents the incidence of bark stripping (present or not) and its intensity by two deer species mapped over all woody individuals ≥ 1 cm diameter at breast height (DBH). Stripping intensity was measured as the maximal percentage of the stripped stem circumference at the part of the stem with the horizontally widest stripping wound. A four-hectare square research plot is located in the Ranšpurk old-growth forest reserve in the south-eastern part of the Czech Republic (N48°40´, E16°56´). Several treefalls damaged the fence around the reserve in late autumn 2017, allowing fallow deer (<em>Dama dama</em> L.) and red deer (<em>Cervus elaphus</em> L.) to enter the reserve from the deer enclosure. The number of fallow deer and red deer individuals in the reserve was unknown, and likely fluctuated over time as they could enter and leave the reserve at any time. Data were collected in July 2018, ca 9–10 months after the fence was damaged. Although the fence was not fixed at the time of data collection (deer could still enter and leave the reserve), stripping wounds were not fresh and were likely received between late autumn 2017 and early spring 2018. The datasets includes tree and shrub individuals that fell within species-specific DBH range (susceptible individuals). The range was defined for each tree and shrub species as DBH<sub>min </sub>≤ DBH ≤ DBH<sub>max</sub>, where DBH<sub>min</sub> and DBH<sub>max</sub> are DBH of the smallest and largest stripped individuals. Individuals smaller and larger than this range were excluded from analyses, because small and large individuals may be relatively less often stripped. Woody species with ≥ 70 individuals are presented, because stochasticity does not allow meaningful spatial point pattern analyses with fewer individuals per species. Data contains the x and y coordinates of each individual in a local coordinate system, the woody species, its code, diameter at breast height, the incidence of stripping (present = 1 or not = 0), and the intensity of stripping (%).
description: This research was funded by the Czech Science Foundation (Grant/Award No. 20-17282S) and the Internal Grant Agency MENDELU (Project No. LDF_VP_2019030).
DOI: 10.5281/zenodo.5869806
title: Spatial patterns in neighbourhood effects on woody plant selection and bark stripping by deer in a lowland alluvial forest

description: This dataset presents the incidence of bark stripping (present or not) and its intensity by two deer species mapped over all woody individuals ≥ 1 cm diameter at breast height (DBH). Stripping intensity was measured as the maximal percentage of the stripped stem circumference at the part of the stem with the horizontally widest stripping wound. A four-hectare square research plot is located in the Ranšpurk old-growth forest reserve in the south-eastern part of the Czech Republic (N48°40´, E16°56´). Several treefalls damaged the fence around the reserve in late autumn 2017, allowing fallow deer (<em>Dama dama</em> L.) and red deer (<em>Cervus elaphus</em> L.) to enter the reserve from the deer enclosure. The number of fallow deer and red deer individuals in the reserve was unknown, and likely fluctuated over time as they could enter and leave the reserve at any time. Data were collected in July 2018, ca 9–10 months after the fence was damaged. Although the fence was not fixed at the time of data collection (deer could still enter and leave the reserve), stripping wounds were not fresh and were likely received between late autumn 2017 and early spring 2018. The datasets includes tree and shrub individuals that fell within species-specific DBH range (susceptible individuals). The range was defined for each tree and shrub species as DBH<sub>min </sub>≤ DBH ≤ DBH<sub>max</sub>, where DBH<sub>min</sub> and DBH<sub>max</sub> are DBH of the smallest and largest stripped individuals. Individuals smaller and larger than this range were excluded from analyses, because small and large individuals may be relatively less often stripped. Woody species with ≥ 70 individuals are presented, because stochasticity does not allow meaningful spatial point pattern analyses with fewer individuals per species. Data contains the x and y coordinates of each individual in a local coordinate system, the woody species, its code, diameter at breast height, the incidence of stripping (present = 1 or not = 0), and the intensity of stripping (%).
description: This research was funded by the Czech Science Foundation (Grant/Award No. 20-17282S) and the Internal Grant Agency MENDELU (Project No. LDF_VP_2019030).
DOI: 10.5281/zenodo.5868030
title: K11STIFFNESS

description: No
DOI: 10.5281/zenodo.5868029
title: K11STIFFNESS

description: No
DOI: 10.5281/zenodo.5870585
title: Models and data in support of "Probing the southern African lithosphere with magnetotellurics" parts I+II

description: These directories contain the original model and data files for the publications "Probing the southern African lithosphere with magnetotellurics, Part I, model construction" and "Probing the southern African lithosphere with magnetotellurics, Part II, linking electrical conductivity, composition and tectonomagmatic evolution". The two codes used to generate these results are jif3D (Moorkamp et al. 2011) available via subversion at https://svn.code.sf.net/p/jif3d/jif3dsvn/trunk/jif3D and<br> ModEM (Kelbert et al. 2014) (https://sites.google.com/site/modularem/download) All scripts to produce plots are written in Python (Version 3) and require a working Python environment (e.g. Anaconda under Windows https://www.anaconda.com/). Two helper classes are contained in the files mtclass.py (for reading data files) and mtmodel.py (for reading models). These require the packages<br> netcdf4, mtpy, rasterio, matplotlib, numpy, geopandas, cartopy and possibly a few others. If you get error messages related to missing packages, the typical solution is to call "conda install packagename" (Windows) or "pip3 install packagename". We include 3 main Python scripts: PlotHorizontalSlices.py plots horizontal slices through the inversion models similar to Figures 8-11 in part I. However, you get all slices from the surface to the bottom of the model domain. The output is a single PDF called HorSlices.pdf<br> PlotMisfit.py produces 5 different PDF files. Each one shows comparisons between observed and predicted data for all sites used in each inversion.<br> PlotGeoTiff.py produces horizontal slices through the models in GeoTiff format for use in GIS programs or Google Earth. The output files are large (total 1 GB per model), therefore it is currently set to only produce output for one model (jif3D with maximum data). This can be changed by using other filenames (see PlotHorizontalSlices.py). These scripts are also meant as a basis for other scripts for new analyses of these results. All material here is provided under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license (https://creativecommons.org/licenses/by-sa/4.0/). References Moorkamp, M., Heincke, B., Jegen, M., Roberts, A. W., & Hobbs, R. W. (2011). A framework for 3-D joint inversion of MT, gravity and seismic refraction data. Geophysical Journal International, 184(1), 477-493.<br> Kelbert, A., Meqbel, N., Egbert, G. D., & Tandon, K. (2014). ModEM: A modular system for inversion of electromagnetic geophysical data. Computers & Geosciences, 66, 40-53.
DOI: 10.5281/zenodo.5870584
title: Models and data in support of "Probing the southern African lithosphere with magnetotellurics" parts I+II

description: These directories contain the original model and data files for the publications "Probing the southern African lithosphere with magnetotellurics, Part I, model construction" and "Probing the southern African lithosphere with magnetotellurics, Part II, linking electrical conductivity, composition and tectonomagmatic evolution". The two codes used to generate these results are jif3D (Moorkamp et al. 2011) available via subversion at https://svn.code.sf.net/p/jif3d/jif3dsvn/trunk/jif3D and<br> ModEM (Kelbert et al. 2014) (https://sites.google.com/site/modularem/download) All scripts to produce plots are written in Python (Version 3) and require a working Python environment (e.g. Anaconda under Windows https://www.anaconda.com/). Two helper classes are contained in the files mtclass.py (for reading data files) and mtmodel.py (for reading models). These require the packages<br> netcdf4, mtpy, rasterio, matplotlib, numpy, geopandas, cartopy and possibly a few others. If you get error messages related to missing packages, the typical solution is to call "conda install packagename" (Windows) or "pip3 install packagename". We include 3 main Python scripts: PlotHorizontalSlices.py plots horizontal slices through the inversion models similar to Figures 8-11 in part I. However, you get all slices from the surface to the bottom of the model domain. The output is a single PDF called HorSlices.pdf<br> PlotMisfit.py produces 5 different PDF files. Each one shows comparisons between observed and predicted data for all sites used in each inversion.<br> PlotGeoTiff.py produces horizontal slices through the models in GeoTiff format for use in GIS programs or Google Earth. The output files are large (total 1 GB per model), therefore it is currently set to only produce output for one model (jif3D with maximum data). This can be changed by using other filenames (see PlotHorizontalSlices.py). These scripts are also meant as a basis for other scripts for new analyses of these results. All material here is provided under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license (https://creativecommons.org/licenses/by-sa/4.0/). References Moorkamp, M., Heincke, B., Jegen, M., Roberts, A. W., & Hobbs, R. W. (2011). A framework for 3-D joint inversion of MT, gravity and seismic refraction data. Geophysical Journal International, 184(1), 477-493.<br> Kelbert, A., Meqbel, N., Egbert, G. D., & Tandon, K. (2014). ModEM: A modular system for inversion of electromagnetic geophysical data. Computers & Geosciences, 66, 40-53.
DOI: 10.21227/v2n9-tq51
title: MALoRa

description: Demo script and data for infocom 2022 paper titled "Don’t Miss Weak Packets: Boosting LoRa Reception with Antenna Diversities"
DOI: 10.5281/zenodo.5870335
title: scWGS DLP+

description: scWGS data
DOI: 10.5281/zenodo.5863000
title: Sensor data collected at the Nowe Czarnowo carp farm in Poland

description: This dataset includes data collected from a land-based Carp farm in Nowe Czarnowo, Poland. Included are temperature, dissolved oxygen, and PH data collected at the farm at two locations. More details on the data can be found in the Report on instrumentation of site
DOI: 10.5281/zenodo.5862999
title: Sensor data collected at the Nowe Czarnowo carp farm in Poland

description: This dataset includes data collected from a land-based Carp farm in Nowe Czarnowo, Poland. Included are temperature, dissolved oxygen, and PH data collected at the farm at two locations. More details on the data can be found in the Report on instrumentation of site
DOI: 10.13145/bacdive20478.20201210.5
title: Corallococcus coralloides

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive20479.20201210.5
title: Corallococcus coralloides

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.