cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4317585
title: Career Within Academia, Survey Report: Embedded Discrimination and Career Tips for junior researchers.

description: We have asked junior researchers that are or have been engaged in a career within Norwegian academia to share their career experience and perspectives. Despite our comprehensive questionnaire, we collected 193 responses coming from various fields and with different levels of seniority, with a survey combining both closed-ended and open-ended questions. <br> A baseline hypothesis in academic policy is that, by increasing the competition to reach a certain position, the best candidates will be selected. We here examine the consequence of this selective path on the competitors and how the selection criteria is perceived by participants in our study. In the second document we disclose the open answers provided by the respondents. To facilitate the navigation in the wide set of tips collected, we subdivided the answer in categories:<br> Work/personal life balance, Academic Career Planning, which contains Network, general strategy tips, CV development, scientific communication and advisor, and Career outside academia tips. At the end of these sections, we collected longer and more comprehensive suggestions in the category "Broad tips".<br> As it can be noted by the answers, a large set of concepts have been discussed by the respondents. Further analysis concerning associations between these observations and its consequences for the candidates, on career tips from researchers to junior researchers**, will be provided in forthcoming publications based on the collected data.
DOI: 10.5281/zenodo.4317584
title: Career Within Academia, Survey Report: Embedded Discrimination and Career Tips for junior researchers.

description: We have asked junior researchers that are or have been engaged in a career within Norwegian academia to share their career experience and perspectives. Despite our comprehensive questionnaire, we collected 193 responses coming from various fields and with different levels of seniority, with a survey combining both closed-ended and open-ended questions. <br> A baseline hypothesis in academic policy is that, by increasing the competition to reach a certain position, the best candidates will be selected. We here examine the consequence of this selective path on the competitors and how the selection criteria is perceived by participants in our study. In the second document we disclose the open answers provided by the respondents. To facilitate the navigation in the wide set of tips collected, we subdivided the answer in categories:<br> Work/personal life balance, Academic Career Planning, which contains Network, general strategy tips, CV development, scientific communication and advisor, and Career outside academia tips. At the end of these sections, we collected longer and more comprehensive suggestions in the category "Broad tips".<br> As it can be noted by the answers, a large set of concepts have been discussed by the respondents. Further analysis concerning associations between these observations and its consequences for the candidates, on career tips from researchers to junior researchers**, will be provided in forthcoming publications based on the collected data.
DOI: 10.4228/zalf.dk.158
title: Microclimatic data along a gradient from kettle holes to agricultural fields in the AgroScapeLabs Quillow 2020

description: Ten kettle holes within six agricultural fields (crop: winter wheat) were selected for monitoring microclimatic conditions around the kettle holes. For this purpose we have established a gradient starting from the edge of the kettle holes up to 50 m into the surrounding wheat fields. Along these gradients microclimatic observation stations were installed at 4 different distances (1m, 5 m, 20 m, 50 m). At each point air temperature, air humidity, leaf wetness and soil moisture were monitored during the growing season of wheat plants (between March and July 2020).
DOI: 10.21258/1668959
title: Inventario forestale nazionale svizzero - Tabella n. 899100
DOI: 10.21258/1653307
title: Inventario forestale nazionale svizzero - Tabella n. 896968
DOI: 10.18112/openneuro.ds002634.v3.0.0
title: Project_larynx
DOI: 10.21258/1670853
title: Inventario forestale nazionale svizzero - Tabella n. 897317
DOI: 10.21258/1628991
title: Inventario forestale nazionale svizzero - Tabella n. 898894
DOI: 10.21258/1627624
title: Inventario forestale nazionale svizzero - Tabella n. 898084
DOI: 10.6084/m9.figshare.13417316
title: Supervised machine learning for smart contract vulnerability prediction

description: Python machine learning code using Scikit-learn for ERC-20 smart contract vulnerability detection.
DOI: 10.21258/1668954
title: Inventario forestale nazionale svizzero - Tabella n. 898236
DOI: 10.21258/1629567
title: Inventario forestale nazionale svizzero - Tabella n. 891963
DOI: 10.21258/1653505
title: Inventario forestale nazionale svizzero - Tabella n. 892024
DOI: 10.21258/1648864
title: Inventario forestale nazionale svizzero - Tabella n. 897880
DOI: 10.21258/1668747
title: Inventario forestale nazionale svizzero - Tabella n. 899599
DOI: 10.6084/m9.figshare.13387913.v1
title: Multifaceted effects of the chicken domestic Thyroid Stimulating Hormone Receptor (TSHR) variant on gene expression in the hypothalamic—pituitary—thyroid system and behavior

description: File S1 Supplemental Material contains extended material and methods for Fallahshahroudi et al. This includes information regarding generation of the advanced backcross, analysis of population genetics, gene expression, hormone and metabolic rate, and behavior data. Furthermore, File S1 supplemental material file contains tables including PCR primer sequences, accession numbers of the sample used in European Nucleotide Archive, and haplotype sharing in the TSHR gene between White Leghorn and other population. File S2 . File S2 Dataset<b> </b>includes all data used in the analyses and producing the figures, including genotypes, gene expression, metabolic rate, hormone levels, and all measured behaviors. <br>
DOI: 10.5281/zenodo.4352763
title: Supplementary information for Salazar et al. (2020): mTAGs: taxonomic profiling using degenerate consensus reference sequences of ribosomal RNA genes

description: Supplementary data and code in Salazar et al. (2020). <strong>mTAGs: taxonomic profiling using degenerate consensus reference sequences of ribosomal RNA genes</strong>. The code used to reproduced the analyses can be found in the <strong><em>code</em></strong> folder: All R scripts reproducing the external benchmarking based on data released by Almeida et al. (2018) are in <em><strong>./code/almeida_stats</strong></em>. The scripts are numbered sequentially according to their order of use. Scripts computing the metrics used to evaluate the classification and profiling performance based on the internal benchmarking are found in <em><strong>./code/internal_benchmarking</strong></em>. The scripts are numbered sequentially according to their order of use. A single script producing the figures used in the publication is found in <em><strong>./code/plots_pub.R</strong></em>. Supplementary data can be found in the <strong><em>data</em></strong> folder: The metrics used to evaluate the classification and profiling performance based on both the internal and external benchmarking: <strong>./data/processed.</strong> The metrics used in the internal benchmarking are found in <strong>./data/processed/internal_benchmarking/all_stats_long.tsv </strong>as a tab-delimited file. The metrics used in the external benchmarking are found in (as a tab-delimited file): Metrics based on Almeida et al. (2018) data: <strong>./data/processed/almeida_stats/stats_almeida.tsv.</strong> Metrics based on mTAGs (computed from profiles): <strong>/data/processed/almeida_stats/stats_mtags.tsv.</strong> Metrics based on mTAGs (computed from bins): <strong>./data/processed/almeida_stats/stats_mtags_from bins.tsv.</strong> The reference databases derived from the SILVA SSU database (versions 128 and 138): <strong><em>./data/DB_GEN_128</em> </strong>and <strong><em>./data/raw/DB_GEN_138. </em></strong>For both of them a sequence file (<em><strong>*.fasta</strong></em>), a file containing the cluster members (<em><strong>*.clstr</strong></em>) and a file containing the taxonomic annotation (<strong><em>*taxmap</em></strong>) are provided. The taxonomic profiles based on mTAGs for the external benchmarking dataset are found in <strong><em>./data/raw/mtags_almeida. </em></strong>The format is the output format of the mTAGs tool (https://github.com/SushiLab/mTAGs). Data is provided for both databases (*cons: using the degenerate consensus sequence; *repr: using the longest member). The simulated dataset used for the internal benchmarking is found in <strong><em>./data/raw/silva_138_simulate_analysis</em></strong> Simulated reads of 100, 150 and 250 bp from the SILVA SSU database 138 are found as pairs of FASTA files. The true annotation and the annotation predicted by mTAGs of the simulated reads is found in <strong><em>./data/raw/silva_138_simulate_analysis/annotation</em></strong> based on both databases (cons: using the degenerate consensus sequence; repr: using the longest member).
DOI: 10.21258/1655837
title: Inventario forestale nazionale svizzero - Tabella n. 898907
DOI: 10.25345/c52n46
title: MassIVE MSV000086616 - HIV-1 infection and IFN-I treatment specifically modulate the nuclear envelop protein composition
title: Nuclear envelope protein-enriched fractions of THP-1 cells infected or not with an HIV-1 vector and treated or not with IFN-beta.
DOI: 10.6084/m9.figshare.13378589
title: dataset

description: None<br>
DOI: 10.21258/1662558
title: Inventario forestale nazionale svizzero - Tabella n. 898524
DOI: 10.6084/m9.figshare.13378589.v4
title: dataset

description: None<br>
DOI: 10.5281/zenodo.4354940
title: Room Temperature Self-Healing in Soft Pneumatic Robotics: Autonomous Self-Healing in a Diels-Alder Polymer Network

description: Healable soft robotic systems have been developed by constructing flexible membranes out of Diels?Alder (DA) polymer networks. In these components, relatively large amounts of damage, on the centimeter scale, can be healed, provided that the temperature is increased to 80?90 ?C. This article presents a new DA polymer network that can heal at room temperature through a smart design of the network that increases the molecular mobility in the material. This new material is used to develop the first healable soft robotic prototype that can autonomously recover from severe, realistic damage. The soft pneumatic hand can recover from various types of injuries, including being cut completely in half, without the need for a temperature increase. After healing, the performance of the soft robotic prototype is recovered.
DOI: 10.6084/m9.figshare.13378589.v3
title: COVID-19 Rumor Dataset

description: A COVID-19 rumor dataset containing veracity labels, rumor sources, rumor popularity data, publication date, stance labels, and sentiment labels. Labeled and verified manually. Data are collected from both Twitter and news websites.<br>
DOI: 10.5281/zenodo.4354939
title: Room Temperature Self-Healing in Soft Pneumatic Robotics: Autonomous Self-Healing in a Diels-Alder Polymer Network

description: Healable soft robotic systems have been developed by constructing flexible membranes out of Diels?Alder (DA) polymer networks. In these components, relatively large amounts of damage, on the centimeter scale, can be healed, provided that the temperature is increased to 80?90 ?C. This article presents a new DA polymer network that can heal at room temperature through a smart design of the network that increases the molecular mobility in the material. This new material is used to develop the first healable soft robotic prototype that can autonomously recover from severe, realistic damage. The soft pneumatic hand can recover from various types of injuries, including being cut completely in half, without the need for a temperature increase. After healing, the performance of the soft robotic prototype is recovered.
DOI: 10.21258/1628095
title: Inventario forestale nazionale svizzero - Tabella n. 898806
DOI: 10.21258/1638076
title: Inventario forestale nazionale svizzero - Tabella n. 897517
DOI: 10.21258/1650870
title: Inventario forestale nazionale svizzero - Tabella n. 891952
DOI: 10.5281/zenodo.4354816
title: Hyperspectral X-ray CT datasets of an aluminium phantom containing three metal-based powders

description: <strong>General Data description:</strong> This is a set of two hyperspectral (energy-resolved) X-ray CT projection datasets of a multi-phase phantom. It was acquired in a custom-built, laboratory micro-CT scanner with an energy-sensitive HEXITEC detector in the Henry Moseley X-ray Imaging Facility at The University of Manchester. The following data contains all the files necessary for reconstruction, following two hyperspectral scans of a metal, multi-phase phantom. The phantom consists of an external aluminium cylinder, with three holes, each filled with a different metal-based powder (CeO<sub>2</sub>, ZnO, Fe). Each powder provides a unique attenuation signal, with CeO<sub>2</sub> in particular producing a distinct spectral marker which can be measured by an energy-sensitive detector. Two identical scans were acquired, with only the exposure time per projection changed. <strong>File descriptions:</strong> Contained is an image (.jpg) of the sample, along with five MATLAB (.mat) data files, as well as a single text (.txt) file. Where necessary, the files have been named to match the dataset they belong to, based on the different exposure times used for each dataset. Phantom_design_measurements.jpg contains a photograph of the physical phantom, combined with a diagram showing full sample measurements. Powder_phantom_scan_geometry.txt gives a breakdown of the full sample and detector geometry used when acquiring the raw projections for both scans. powder_phantom_30s_sinogram_full.mat contains the full 4D sinogram constructed following flatfield normalisation of the raw projection data, where an exposure time of 30 s was used for each projection. The 4D array contains the total number of energy channels acquired during scanning, followed by vertical and horizontal pixel number, and finally total projections angles acquired during scanning. powder_phantom_180s_sinogram_full.mat is the full 4D sinogram for the dataset, when exposure times of 180 s were used for each projection, following flatfield normalisation. A discontinuity occurs at projection 137 due to an interruption in the scan procedure. Energy_axis.mat provides a direct conversion between the energy channels, and the energies (in keV) that they correspond to, following a calibration procedure prior to scanning. This is the same for both datasets. FF_30s.mat contains the 4D flatfield data acquired when no sample was present, in the case of 30 s exposure times. This data was used to normalise the projection datasets, as the sinogram was constructed. FF_180s.mat contains the 4D flatfield data for the dataset where 180 s exposure times were used
DOI: 10.5281/zenodo.4350456
title: Highly polarised microstructure from the repeating FRB 20180916B Dataset

description: The dataset to reproduce the results and plots in Nimmo et al. 2020 (https://ui.adsabs.harvard.edu/abs/2020arXiv201005800N/abstract). The scripts to produce the plots can be found here: https://github.com/KenzieNimmo/Microsecond_Polarimetry_R3
DOI: 10.5281/zenodo.4350455
title: Highly polarised microstructure from the repeating FRB 20180916B Dataset

description: The dataset to reproduce the results and plots in Nimmo et al. 2020 (https://ui.adsabs.harvard.edu/abs/2020arXiv201005800N/abstract). The scripts to produce the plots can be found here: https://github.com/KenzieNimmo/Microsecond_Polarimetry_R3
DOI: 10.21258/1659599
title: Inventario forestale nazionale svizzero - Tabella n. 902095
DOI: 10.21258/1642423
title: Inventario forestale nazionale svizzero - Tabella n. 899410
DOI: 10.21258/1659593
title: Inventario forestale nazionale svizzero - Tabella n. 897465
DOI: 10.21258/1639566
title: Inventario forestale nazionale svizzero - Tabella n. 902183
DOI: 10.6084/m9.figshare.13064153
title: Metadata record for the manuscript: Level of Knowledge in the COVID-19 Pandemic: A Cross-Sectional Survey of Canadian Medical Students

description: <b>NOTE: there is no peer-reviewed article associated with this data record.</b><br><br>This metadata record provides details of the data supporting the claims of the related manuscript: “Level of Knowledge in the COVID-19 Pandemic: A Cross-Sectional Survey of Canadian Medical Students”. The related study aimed to assess the level of COVID-19 clinical knowledge among medical students in Quebec, Canada—the Canadian province with the highest prevalence rate for COVID-19 infections—determining if students understood the lab findings, clinical presentation, and if they believed the myths in COVID-19. It also aimed to understand what information sources students turn to and the perceived trustworthiness of those sources, and whether there is an association between students’ knowledge and prior degrees obtained. The data consist of one Excel .xlsx format spreadsheet with six tabs. The data are collected from a survey which was distributed to each medical school in Quebec both through email and through social media pages for each class year (i.e. Med 1s, Med 2s, etc). Each school distributed the survey once, either in email or social media. Links were directly available in the associated post.
DOI: 10.6084/m9.figshare.13064153.v1
title: Metadata record for the manuscript: Level of Knowledge in the COVID-19 Pandemic: A Cross-Sectional Survey of Canadian Medical Students

description: <b>NOTE: there is no peer-reviewed article associated with this data record.</b><br><br>This metadata record provides details of the data supporting the claims of the related manuscript: “Level of Knowledge in the COVID-19 Pandemic: A Cross-Sectional Survey of Canadian Medical Students”. The related study aimed to assess the level of COVID-19 clinical knowledge among medical students in Quebec, Canada—the Canadian province with the highest prevalence rate for COVID-19 infections—determining if students understood the lab findings, clinical presentation, and if they believed the myths in COVID-19. It also aimed to understand what information sources students turn to and the perceived trustworthiness of those sources, and whether there is an association between students’ knowledge and prior degrees obtained. The data consist of one Excel .xlsx format spreadsheet with six tabs. The data are collected from a survey which was distributed to each medical school in Quebec both through email and through social media pages for each class year (i.e. Med 1s, Med 2s, etc). Each school distributed the survey once, either in email or social media. Links were directly available in the associated post.
DOI: 10.6084/m9.figshare.13417382
title: Data for 'Quantifying carbon in tree bark – the importance of bark morphology and tree size', Methods in Ecology and Evolution

description: Images of stem disks used for analysis<br>Images of measurements (n=4 per disk) used for contour gauge method<br><br>Bark thickness measurements for bark gauge methods<br>
DOI: 10.6084/m9.figshare.13417382.v1
title: Data for 'Quantifying carbon in tree bark – the importance of bark morphology and tree size', Methods in Ecology and Evolution

description: Images of stem disks used for analysis<br>Images of measurements (n=4 per disk) used for contour gauge method<br><br>Bark thickness measurements for bark gauge methods<br>
DOI: 10.21258/1668665
title: Inventario forestale nazionale svizzero - Tabella n. 898081
DOI: 10.21258/1649198
title: Inventario forestale nazionale svizzero - Tabella n. 899077
DOI: 10.5063/6q1vns
title: Ecosystem-Atmosphere fluxes of water, carbon and energy from a basin mangrove in Puerto Morelos, Quintana Roo, Mexico (2017-2018)

description: Data uploaded corresponds to data collected from a flux tower installed at the basin mangrove located in Puerto Morelos (Jardín Botánico Dr. Alfredo Barrera Marín), Quintana Roo, Mexico. The collection pediod was from 13 June 2017 to 30 Nov 2018. Conventional procedures of the eddy covariance method (Burba, 2013) were followed to process raw flux data and produce half-hourly averaged data of net ecosystem-atmosphere CO2 flux (µmol s-1 m-2), latent heat flux (W m-2), and sensible heat flux (W m-2), using the software EddyPro 6.2.1 (LI-COR). Surface energy balance components are included (net radiation and its components, and soil heat flux). Ancillary data includes meteorological variables (air temperature and relative humidity, vapor pressure deficit, atmospheric pressure, precipitation, soil temperature, photosynthetically active radiation) as well as inundation water level and water temperature.
DOI: 10.21258/1643166
title: Inventario forestale nazionale svizzero - Tabella n. 897435
DOI: 10.18112/openneuro.ds000117.v1.0.4
title: Multisubject, multimodal face processing
DOI: 10.21232/y5ttxy3n
title: Leaf spectra and physiological and chemical traits from maize grown under nitrogen stress

description: null
DOI: 10.21258/1662157
title: Inventario forestale nazionale svizzero - Tabella n. 897718
DOI: 10.21258/1664004
title: Inventario forestale nazionale svizzero - Tabella n. 897165
DOI: 10.21258/1642595
title: Inventario forestale nazionale svizzero - Tabella n. 898978
DOI: 10.21258/1627092
title: Inventario forestale nazionale svizzero - Tabella n. 897957
DOI: 10.21258/1637441
title: Inventario forestale nazionale svizzero - Tabella n. 899259
DOI: 10.21258/1636072
title: Inventario forestale nazionale svizzero - Tabella n. 902261
DOI: 10.21258/1662601
title: Inventario forestale nazionale svizzero - Tabella n. 898556
DOI: 10.21258/1671626
title: Inventario forestale nazionale svizzero - Tabella n. 898756
DOI: 10.21258/1666269
title: Inventario forestale nazionale svizzero - Tabella n. 898256
DOI: 10.21258/1634248
title: Inventario forestale nazionale svizzero - Tabella n. 898857
DOI: 10.21258/1665872
title: Inventario forestale nazionale svizzero - Tabella n. 898106
DOI: 10.21258/1671120
title: Inventario forestale nazionale svizzero - Tabella n. 897307
DOI: 10.21258/1669042
title: Inventario forestale nazionale svizzero - Tabella n. 902118
DOI: 10.21258/1640988
title: Inventario forestale nazionale svizzero - Tabella n. 899266
DOI: 10.21258/1629840
title: Inventario forestale nazionale svizzero - Tabella n. 898688
DOI: 10.21258/1639215
title: Inventario forestale nazionale svizzero - Tabella n. 898931
DOI: 10.21258/1663575
title: Inventario forestale nazionale svizzero - Tabella n. 898166
DOI: 10.34740/kaggle/dsv/1758810
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.4355966
title: YODA output files for W+jets with multiweights

description: YODA output files for W+jets with multiweights
DOI: 10.21258/1651509
title: Inventario forestale nazionale svizzero - Tabella n. 892914
DOI: 10.21258/1639170
title: Inventario forestale nazionale svizzero - Tabella n. 897364
DOI: 10.21258/1672791
title: Inventario forestale nazionale svizzero - Tabella n. 898103
DOI: 10.21258/1631831
title: Inventario forestale nazionale svizzero - Tabella n. 897777