cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3815063
title: ICECAP-2 consortium processed airborne ice thickness data from the Princess Elizabeth Land, East Antarctica

description: Airborne ice thickness data from the Princess Elizabeth Land (PEL), East Antarctica was collected in four separate seasons. During the first ICECAP2 season (2015/16), a survey acquiring exploratory ‘fan-shaped’ radial profiles to maximize range and data return on each flight was completed across the broadly unknown region of PEL. These flight lines extend from the coastal Progress Station to the interior ice-sheet divide at Ridge B. In the second and third seasons (2016/17 and 2017/18), a survey ‘grid’ was completed, targeting enhanced resolution over a proposed subglacial lake and a series of basal canyons (Jamieson et al., 2016). In the fourth season (2018/19), a few additional transects were completed to fill the largest data gaps within aircraft range. Field data acquisition was achieved using the “Snow Eagle 601” aero geophysical platform; a BT-67 airplane operated by the Polar Research Institute of China for the Chinese National Antarctic Research Expedition (CHINARE) program. The suite of instruments configured on the airplane include a phase-coherent radio-echo sounder system, operating at a central frequency of 60 MHz and a peak power of 8 kW, making it capable of penetrating deep (&gt;3 km) ice in Antarctica. After applying coherent integration and pulse compression at a bandwidth of 15 MHz, which gave an along-track spatial sampling rate and a vertical resolution of ~10 m and ~5.6 m, respectively.
description: {"references": ["Jamieson, S. S., Ross, N., Greenbaum, J. S., Young, D. A., Aitken, A. R., Roberts, J. L., Blankenship, D. D., Bo, S., and Siegert, M. J.: An extensive subglacial lake and canyon system in Princess Elizabeth Land, East Antarctica, Geology, 44, 87-90, 2016."]}
DOI: 10.6084/m9.figshare.12923495
title: Uncertainty and predictiveness modulate attention in human predictive learning

description: The file includes the data for the experiments reported in 'Uncertainty and predictiveness modulate attention in human predictive learning'. Each experiment is included in a seperate tab. For each experiment the training data for stages 1 and 2 are listed and the scores of the test phase. The last tab ('notes') includes details of the abbreviations used in the file.
DOI: 10.6084/m9.figshare.12923495.v1
title: Uncertainty and predictiveness modulate attention in human predictive learning

description: The file includes the data for the experiments reported in 'Uncertainty and predictiveness modulate attention in human predictive learning'. Each experiment is included in a seperate tab. For each experiment the training data for stages 1 and 2 are listed and the scores of the test phase. The last tab ('notes') includes details of the abbreviations used in the file.
DOI: 10.6084/m9.figshare.12948685.v1
title: Supplementary Table 1 from Discovering compounds mimicking calorie restriction using mammalian gene expression profiles

description: Gene signatures
DOI: 10.6084/m9.figshare.12948688
title: Supplementary Table 2 from Discovering compounds mimicking calorie restriction using mammalian gene expression profiles

description: Candidate compounds by dataset and strain
DOI: 10.6084/m9.figshare.12948685
title: Supplementary Table 1 from Discovering compounds mimicking calorie restriction using mammalian gene expression profiles

description: Gene signatures
DOI: 10.6084/m9.figshare.12948688.v1
title: Supplementary Table 2 from Discovering compounds mimicking calorie restriction using mammalian gene expression profiles

description: Candidate compounds by dataset and strain
DOI: 10.6084/m9.figshare.12947627
title: R0197_20171206a_videos

description: Rat 0197, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12947627.v1
title: R0197_20171206a_videos

description: Rat 0197, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.5519/qd.0xzswito
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.25345/c5jx8t
title: MassIVE MSV000086128 - Integration of time- and dose-dependent effects of salinity stress on the renal proteome of euryhaline tilapia
title: Experiments were performed by Larken Root in the laboratory of Dietmar K&uumlltz at UC Davis. Tilapia were acclimated at different rates from freshwater (FW) to elevated salinities (75, 85, and 105 g/kg). FW handling controls were included in parallel. Samples represent biological replicates, i.e. each sample was obtained from a different fish processed using an identical procedure. Proteins were extracted, digested, and prepared for online LCMS2 as described previously &lt;a href="https://doi.org/10.1074/mcp.M113.029827"&gt;doi: 10.1074/mcp.M113.029827&lt;/a&gt;. Sample amount loaded was 200 ng total peptides on column. Biological mass spectrometry (Bottom-up LCMS2-DDA proteomics) was performed and data analyzed using a workflow consisting of Compass Hystar 4.1, DataAnalysis 4.4, PEAKS Studio X+, Scaffold 4.11, and ScaffoldPTM 3.0 in the K&uumlltz laboratory.
DOI: 10.17632/v2p3th8pb5.5
title: Data for: Failure Analysis of Feed Water Pump Shaft in HRSG of 9F Gas Turbine Generator Unit

description: macrophotograph，fracture morphology，microstructure，mechanical property
DOI: 10.6084/m9.figshare.12845303
title: Possible effects of titanium dioxide particles on human liver, intestinal tissue, spleen and kidney after oral exposure

description: Recent studies reported adverse liver effects and intestinal tumor formation after oral exposure to titanium dioxide (TiO<sub>2</sub>). Other oral toxicological studies, however, observed no effects on liver and intestine, despite prolonged exposure and/or high doses. In the present assessment, we aimed to better understand whether TiO<sub>2</sub> can induce such effects at conditions relevant for humans. Therefore, we focused not only on the clinical and histopathological observations, but also used Adverse Outcome Pathways (AOPs) to consider earlier steps (Key Events). In addition, aiming for a more accurate risk assessment, the available information on organ concentrations of Ti (resulting from exposure to TiO<sub>2</sub>) from oral animal studies was compared to recently reported concentrations found in human postmortem organs. The overview obtained with the AOP approach indicates that TiO<sub>2</sub> can trigger a number of key events in liver and intestine: Reactive Oxygen Species (ROS) generation, induction of oxidative stress and inflammation. TiO<sub>2</sub> seems to be able to exert these early effects in animal studies at Ti liver concentrations that are only a factor of 30 and 6 times higher than the median and highest liver concentration found in humans, respectively. This confirms earlier conclusions that adverse effects on the liver in humans as a result of (oral) TiO<sub>2</sub> exposure cannot be excluded. Data for comparison with Ti levels in human intestinal tissue, spleen and kidney with effect concentrations were too limited to draw firm conclusions. The Ti levels, though, are similar or higher than those found in liver, suggesting these tissues may be relevant too.
DOI: 10.6084/m9.figshare.12845303.v1
title: Possible effects of titanium dioxide particles on human liver, intestinal tissue, spleen and kidney after oral exposure

description: Recent studies reported adverse liver effects and intestinal tumor formation after oral exposure to titanium dioxide (TiO<sub>2</sub>). Other oral toxicological studies, however, observed no effects on liver and intestine, despite prolonged exposure and/or high doses. In the present assessment, we aimed to better understand whether TiO<sub>2</sub> can induce such effects at conditions relevant for humans. Therefore, we focused not only on the clinical and histopathological observations, but also used Adverse Outcome Pathways (AOPs) to consider earlier steps (Key Events). In addition, aiming for a more accurate risk assessment, the available information on organ concentrations of Ti (resulting from exposure to TiO<sub>2</sub>) from oral animal studies was compared to recently reported concentrations found in human postmortem organs. The overview obtained with the AOP approach indicates that TiO<sub>2</sub> can trigger a number of key events in liver and intestine: Reactive Oxygen Species (ROS) generation, induction of oxidative stress and inflammation. TiO<sub>2</sub> seems to be able to exert these early effects in animal studies at Ti liver concentrations that are only a factor of 30 and 6 times higher than the median and highest liver concentration found in humans, respectively. This confirms earlier conclusions that adverse effects on the liver in humans as a result of (oral) TiO<sub>2</sub> exposure cannot be excluded. Data for comparison with Ti levels in human intestinal tissue, spleen and kidney with effect concentrations were too limited to draw firm conclusions. The Ti levels, though, are similar or higher than those found in liver, suggesting these tissues may be relevant too.
DOI: 10.17632/v2p3th8pb5.6
title: Data for: Failure Analysis of Feed Water Pump Shaft in HRSG of 9F Gas Turbine Generator Unit

description: macrophotograph，fracture morphology，microstructure，mechanical property
DOI: 10.5517/ccdc.csd.cc24cm49
title: CCDC 1977370: Experimental Crystal Structure Determination

description: Related Article: Yuncheng Yan, Benson M. Kariuki, Colan E. Hughes, Andrew J. Logsdail, Kenneth D.M. Harris|2020|Cryst.Growth Des.|20|5736|doi:10.1021/acs.cgd.0c00163
DOI: 10.5517/ccdc.csd.cc24cm38
title: CCDC 1977369: Experimental Crystal Structure Determination

description: Related Article: Yuncheng Yan, Benson M. Kariuki, Colan E. Hughes, Andrew J. Logsdail, Kenneth D.M. Harris|2020|Cryst.Growth Des.|20|5736|doi:10.1021/acs.cgd.0c00163
DOI: 10.5281/zenodo.4026121
title: STROBE checklist for a set of scientific works about COVID-19

description: STROBE checklist for a set of scientific works about COVID-19. This dataset is the result of the expert-based assessment carried out in arXiv:2004.06179.
description: {"references": ["https://arxiv.org/abs/2004.06179"]}
DOI: 10.5281/zenodo.4026120
title: STROBE checklist for a set of scientific works about COVID-19

description: STROBE checklist for a set of scientific works about COVID-19. This dataset is the result of the expert-based assessment carried out in arXiv:2004.06179.
description: {"references": ["https://arxiv.org/abs/2004.06179"]}
DOI: 10.6084/m9.figshare.12948749.v1
title: Project Note

description: Abstract of publication
DOI: 10.6084/m9.figshare.12948749
title: Project Note

description: Abstract of publication
DOI: 10.6084/m9.figshare.12947630.v1
title: R0218_20180224a_videos

description: Rat 0218, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12947630
title: R0218_20180224a_videos

description: Rat 0218, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.5281/zenodo.4026230
title: Dataset for induced subduction through spreading ridges inversions

description: Numerical results for "Dynamic evolution of induced subduction through spreading ridges inversions".
DOI: 10.5281/zenodo.4021683
title: Bayesian regional flood frequency analysis with GEV hierarchical models under spatial dependency structures (code and dataset)

description: The provided material contains the dataset and the models' code used in the article named “Bayesian regional flood frequency analysis with GEV hierarchical models under spatial dependency structures”.
DOI: 10.5281/zenodo.4021682
title: Bayesian regional flood frequency analysis with GEV hierarchical models under spatial dependency structures (code and dataset)

description: The provided material contains the dataset and the models' code used in the article named “Bayesian regional flood frequency analysis with GEV hierarchical models under spatial dependency structures”.
DOI: 10.5281/zenodo.4026272
title: Supplementary Materials for Article "Toward a Bibliometric History of Romantic Studies"

description: Data used in the article "Toward a Bibliometric History of Romantic Studies".
DOI: 10.5281/zenodo.4026271
title: Supplementary Materials for Article "Toward a Bibliometric History of Romantic Studies"

description: Data used in the article "Toward a Bibliometric History of Romantic Studies".
DOI: 10.6084/m9.figshare.12948704
title: R0197_20171207a_videos

description: Rat 0197, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12948758.v1
title: R0218_20180225a_videos

description: Rat 0218, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12948758
title: R0218_20180225a_videos

description: Rat 0218, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.5281/zenodo.4026312
title: Tsunami Efficiency due to Very Slow Earthquakes

description: Figures for Random hypocenter of stochastic scenarios
DOI: 10.5281/zenodo.4026311
title: Tsunami Efficiency due to Very Slow Earthquakes

description: Figures for Random hypocenter of stochastic scenarios
DOI: 10.6084/m9.figshare.12948704.v1
title: R0197_20171207a_videos

description: Rat 0197, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.10278089
title: data.zip

description: All the data used in the paper is included here. See the readme.txt file after unzip the file<br><br>The streamflow data is missing from the previous version, so upload that on Sep 12, 2020<br><br>
DOI: 10.6084/m9.figshare.10278089.v1
title: data.zip

description: All the data used in the paper is included here. See the readme.txt file after unzip the file<br>
DOI: 10.34740/kaggle/dsv/1482796
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.18112/openneuro.ds003133.v1.0.0
title: Postnatal Affective MRI Dataset
DOI: 10.6084/m9.figshare.12121443
title: Sensor Network Evaluation dataset (ESPN 2020)

description: In recent years, the evolution of wireless communications and embedded systems have seen the birth of a new technology called wireless sensor networks. A wireless sensor network is a set of devices called sensors that can communicate with each other,collect information in their deployment areas and send it to the end user when needed. Typically deployed in hostile and inaccessible areas by humans, sensors must work unattended and securely send as much reliable information to the end user. Therefore,it becomes essential to ensure maximum coverage of the deployment area while warranting strong connectivity between sensors and safeguarding the security of information that passes through the network. Because of the low capacitance of the sensors in terms of battery power and computing power,the protocols to be implemented must be extremely light and energy efficient. In this paper, we focus on four major issues in wireless sensor networks (coverage, connectivity, energy conservation, and security)to propose a novel Efficient and Secured Protocol for wireless sensor Networks (ESPN). ESPNallows the sensors to collect more information in the deployment area, send them to the base station with high confidentiality and optimal energy consumption. ESPN consist of two algorithms subroutines(ESPN-sentinel, ESPN-guardian). ESPN-Sentinel (ESPNs) subroutine allows each cluster-head(CH) to know the path by which it sends the data to the base station, and ESPN-guardian (ESPNg)guarantees the confidentiality of the information circulating in the network. Overall, ESPN algorithm compared to the state of the art protocols emphasize 3 key innovations: (1) With the first subroutine(ESPNs), ESPN outperform the state of the art protocols with up to 3-fold difference on residual energy consumption (varies from 0.5% to 3.5% ), depending on the length of the path (number of hops) between the cluster-head and the base station. (2) The second subroutine (ESPNg) bring the state of the art cost from linear (e.g. o(n) where n is the node count) to constant cost (o(1)), for sensors communication andstorage requirement. (3) Finally, ESPN improved the security compare to the similar protocols in the same setting, and for a longer data transmission time, using its keys-renewal strategy.
DOI: 10.6084/m9.figshare.12121443.v1
title: Sensor Network Evaluation dataset (ESPN 2020)

description: In recent years, the evolution of wireless communications and embedded systems have seen the birth of a new technology called wireless sensor networks. A wireless sensor network is a set of devices called sensors that can communicate with each other,collect information in their deployment areas and send it to the end user when needed. Typically deployed in hostile and inaccessible areas by humans, sensors must work unattended and securely send as much reliable information to the end user. Therefore,it becomes essential to ensure maximum coverage of the deployment area while warranting strong connectivity between sensors and safeguarding the security of information that passes through the network. Because of the low capacitance of the sensors in terms of battery power and computing power,the protocols to be implemented must be extremely light and energy efficient. In this paper, we focus on four major issues in wireless sensor networks (coverage, connectivity, energy conservation, and security)to propose a novel Efficient and Secured Protocol for wireless sensor Networks (ESPN). ESPNallows the sensors to collect more information in the deployment area, send them to the base station with high confidentiality and optimal energy consumption. ESPN consist of two algorithms subroutines(ESPN-sentinel, ESPN-guardian). ESPN-Sentinel (ESPNs) subroutine allows each cluster-head(CH) to know the path by which it sends the data to the base station, and ESPN-guardian (ESPNg)guarantees the confidentiality of the information circulating in the network. Overall, ESPN algorithm compared to the state of the art protocols emphasize 3 key innovations: (1) With the first subroutine(ESPNs), ESPN outperform the state of the art protocols with up to 3-fold difference on residual energy consumption (varies from 0.5% to 3.5% ), depending on the length of the path (number of hops) between the cluster-head and the base station. (2) The second subroutine (ESPNg) bring the state of the art cost from linear (e.g. o(n) where n is the node count) to constant cost (o(1)), for sensors communication andstorage requirement. (3) Finally, ESPN improved the security compare to the similar protocols in the same setting, and for a longer data transmission time, using its keys-renewal strategy.
DOI: 10.5281/zenodo.3455774
title: HiPR-FISH 10-bit Experiment Barcode 1 - 255

description: Spectral images for a 10-bit HiPR-FISH experiment. This dataset includes barcodes 1 to 255.
DOI: 10.5281/zenodo.3455773
title: HiPR-FISH 10-bit Experiment Barcode 1 - 255

description: Spectral images for a 10-bit HiPR-FISH experiment. This dataset includes barcodes 1 to 255.
DOI: 10.18112/openneuro.ds003135.v1.0.0
title: Postnatal Affective MRI Dataset
DOI: 10.34740/kaggle/dsv/1482844
title: COVID-19 Indonesia Dataset
DOI: 10.5281/zenodo.4017923
title: HiPR-FISH Oral Microbiome Experiments 5

description: This dataset contains HiPR-FISH images from a longitudinal experiment on a human oral microbiome.
DOI: 10.5281/zenodo.4017922
title: HiPR-FISH Oral Microbiome Experiments 5

description: This dataset contains HiPR-FISH images from a longitudinal experiment on a human oral microbiome.
DOI: 10.5281/zenodo.3937919
title: Flowering phenology of a widespread perennial herb shows contrasting responses to global warming between humid and non-humid regions

description: The phenology data in paper published in Functional Ecology by Song et al. 2020, titled Flowering phenology of a widespread perennial herb shows contrasting responses to global warming between humid and non-humid regions
DOI: 10.5281/zenodo.3937918
title: Flowering phenology of a widespread perennial herb shows contrasting responses to global warming between humid and non-humid regions

description: The phenology data in paper published in Functional Ecology by Song et al. 2020, titled Flowering phenology of a widespread perennial herb shows contrasting responses to global warming between humid and non-humid regions
DOI: 10.5281/zenodo.3459587
title: HiPR-FISH PacBio Sequencing Data

description: This dataset contains raw fastq files from PacBio sequencing for HiPR-FISH experiments.
DOI: 10.5281/zenodo.3459586
title: HiPR-FISH PacBio Sequencing Data

description: This dataset contains raw fastq files from PacBio sequencing for HiPR-FISH experiments.
DOI: 10.5281/zenodo.3981292
title: Ocean Heat Content Reconstructions based on Anthropogenic Carbon

description: Data from "<strong>Heat and carbon coupling reveals ocean warming due to circulation changes</strong>" by Bronselaer & Zanna, 2020, Nature, https://doi.org/10.1038/s41586-020-2573-5 The files contain Linear Change in Ocean Heat Content (top 2000 m) relative to 1951 for observations and CMIP5 data, and the decomposition into added and redistributed (due to changes in ocean circulation).
DOI: 10.5281/zenodo.3981291
title: Ocean Heat Content Reconstructions based on Anthropogenic Carbon

description: Data from "<strong>Heat and carbon coupling reveals ocean warming due to circulation changes</strong>" by Bronselaer & Zanna, 2020, Nature, https://doi.org/10.1038/s41586-020-2573-5 The files contain Linear Change in Ocean Heat Content (top 2000 m) relative to 1951 for observations and CMIP5 data, and the decomposition into added and redistributed (due to changes in ocean circulation).
DOI: 10.5281/zenodo.3459337
title: HiPR-FISH Mouse Gut Microbiome Experiments 10

description: This dataset contains images of a mouse gut microbiome.
DOI: 10.34740/kaggle/dsv/1482860
title: Vietnam SARS-CoV-2 | COVID-19 Data
DOI: 10.5281/zenodo.3459336
title: HiPR-FISH Mouse Gut Microbiome Experiments 10

description: This dataset contains images of a mouse gut microbiome.
DOI: 10.5281/zenodo.3458644
title: HiPR-FISH Mouse Gut Microbiome Experiments 9

description: This dataset contains images of a mouse gut microbiome.
DOI: 10.5281/zenodo.3458643
title: HiPR-FISH Mouse Gut Microbiome Experiments 9

description: This dataset contains images of a mouse gut microbiome.
DOI: 10.5281/zenodo.3458642
title: HiPR-FISH Mouse Gut Microbiome Experiments 8

description: This dataset contains images of a mouse gut microbiome.
DOI: 10.5281/zenodo.3458641
title: HiPR-FISH Mouse Gut Microbiome Experiments 8

description: This dataset contains images of a mouse gut microbiome.
DOI: 10.5281/zenodo.3458639
title: HiPR-FISH Mouse Gut Microbiome Experiments 7

description: This dataset contains images of a mouse gut microbiome.
DOI: 10.5281/zenodo.3458638
title: HiPR-FISH Mouse Gut Microbiome Experiments 7

description: This dataset contains images of a mouse gut microbiome.
DOI: 10.5281/zenodo.3458637
title: HiPR-FISH Mouse Gut Microbiome Experiments 6

description: This dataset contains images of a mouse gut microbiome.
DOI: 10.5281/zenodo.3458636
title: HiPR-FISH Mouse Gut Microbiome Experiments 6

description: This dataset contains images of a mouse gut microbiome.
DOI: 10.5281/zenodo.3458635
title: HiPR-FISH Mouse Gut Microbiome Experiments 5

description: This dataset contains a z-stack of a mouse gut microbiome.
DOI: 10.5281/zenodo.3458634
title: HiPR-FISH Mouse Gut Microbiome Experiments 5

description: This dataset contains a z-stack of a mouse gut microbiome.
DOI: 10.5281/zenodo.3458633
title: HiPR-FISH Mouse Gut Microbiome Experiments 4

description: This dataset contains a z-stack of a mouse gut microbiome.
DOI: 10.5281/zenodo.3458632
title: HiPR-FISH Mouse Gut Microbiome Experiments 4

description: This dataset contains a z-stack of a mouse gut microbiome.
DOI: 10.5281/zenodo.3457273
title: HiPR-FISH Mouse Gut Microbiome Experiments 3

description: This dataset contains z-stacks of a mouse gut microbiome.
DOI: 10.5281/zenodo.3457272
title: HiPR-FISH Mouse Gut Microbiome Experiments 3

description: This dataset contains z-stacks of a mouse gut microbiome.