cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/v0rk-1h77
title: Transcranial Doppler Ultrasound Database (Philips CX50 device)

description: Summary:The transcranial Doppler echo data was recorded from both healthy and neurocritical care patients. The insonated cerebral vessels were the middle cerebral artery (MCA) and the internal carotid artery (ICA). The ultrasound device used in this study was the Philips CX50.
DOI: 10.5281/zenodo.3670900
title: Greensoul Individual and Collective Pilot Data

description: *************************************<br> * GreenSoul Pilot dataset description *<br> ************************************* The dataset has been created from obtaining data from 5 buildings in 5 cities in 4 EU countries. It is composed of 3 different datasets per pilot. More information about the pilots, the treatments and the overall approach can be found on the project's website http://www.greensoul-h2020.eu/. The datasets is in .xlsx and contains the following: * Individual consumption as measured by a smartplug on each occupant's workstations<br> - Contains consumption data in Wh per smartplug deployed and covers the tabs: MPH_SPs, DEUSTO_SPs, ALLIA_SPs, WEIZ_SPs, and SEVILLE_SPs. * Collective consumption as measured by energy meters on the main office circuits per treatment applied on each pilot. <br> - Contains consumption data in kWh per treatment deployed and covers the tabs: MPH_UMDs_Treatments, DEUSTO_UMDs_Treatments, ALLIA_BMS_Treatments, ECOLUTION_UMDs_Treatments, and SEVILLE_UMDs_Treatments. * Indicative indoor temperature per pilot <br> - Contains temperature measurements in oC in each pilot. For MPH more than one sensors is reported. Covers the tabs: MPH Temperatures, ECOL Temperature, UDEUSTO Temperature.
DOI: 10.5281/zenodo.3670901
title: Greensoul Individual and Collective Pilot Data

description: *************************************<br> * GreenSoul Pilot dataset description *<br> ************************************* The dataset has been created from obtaining data from 5 buildings in 5 cities in 4 EU countries. It is composed of 3 different datasets per pilot. More information about the pilots, the treatments and the overall approach can be found on the project's website http://www.greensoul-h2020.eu/. The datasets is in .xlsx and contains the following: * Individual consumption as measured by a smartplug on each occupant's workstations<br> - Contains consumption data in Wh per smartplug deployed and covers the tabs: MPH_SPs, DEUSTO_SPs, ALLIA_SPs, WEIZ_SPs, and SEVILLE_SPs. * Collective consumption as measured by energy meters on the main office circuits per treatment applied on each pilot. <br> - Contains consumption data in kWh per treatment deployed and covers the tabs: MPH_UMDs_Treatments, DEUSTO_UMDs_Treatments, ALLIA_BMS_Treatments, ECOLUTION_UMDs_Treatments, and SEVILLE_UMDs_Treatments. * Indicative indoor temperature per pilot <br> - Contains temperature measurements in oC in each pilot. For MPH more than one sensors is reported. Covers the tabs: MPH Temperatures, ECOL Temperature, UDEUSTO Temperature.
DOI: 10.5523/bris.1nufzjw3m9ho72cwisj1pwc75h
title: Researchers, Impact & Publications (R.I.P.) Game data (01-2020)
title: R.I.P. Game - cards, instructions and literature

description: Increasing researcher awareness of the importance of the links between good Research Data Management, published articles, funder requirements and the research lifecycle is a large part of a Research Support services’ role. The University of Bristol’s Research Data Service has adapted the cult game ‘Cards Against Humanity’ for a research environment. Whilst the game demonstrated here is specific to Research Data Management and its relationship to decisions made during the research lifecycle, the mechanism allows for adaptations across multiple fields: teams in contracts, ethics, research development and data protection can also benefit by developing their own questions and using this game as strategy to reach their audience. In addition to its use as a tool for engaging with researchers, Cards Against Humanity has openness at its core. The originators state it is ‘meant to be remixed’, and have issued Cards against Humanity with a CC-BY-NC-SA licence.
DOI: 10.5523/bris.29ojxregda6yc2360wbi2n5rda
title: A systematic review of sample size and power in leading neuroscience journals

description: In this meta-study we investigated the prevalence of adequate sample sizes and power calculations in the neuroscience literature. We were interested in whether the introduction of an editorial checklist in Nature Neuroscience increased sample sizes reported and the use of formal power calculations to determine the sample size a priori.
DOI: 10.21227/22d7-g919
title: H2Arm - BSP vs PID experiments

description: Many different methods have been proposed in the control and robotics literature for the control of robotics arms. Our main aim is to provide a complete software and hardware platform which allow the statistical replication of our results and the experimentation of other more or less sophisticated control strategies and algorithms.In our work, in order to validate our reproducible research platform and provide a template methodology for its usage, we have thoroughly compared in a reproducible way the performance of simple BSP and PID controls when applied to a light-weight, low accuracy and compliant open source robot arm (H2Arm). BSP significantly outperforms PID on this platform, but not w.r.t. to all metrics.The findings are interesting by themselves. They also show how easily statistically weak results can lead to qualitatively wrong conclusions, if you cherry-pick results.The present dataset contains: i) CAD design to 3D-print the H2Arm; ii) experimental data of comparison BSP vs PID; iii) all the code used to perform the experiments (both BSP and PID).
DOI: 10.21227/65ba-6188
title: Supplemental Materials for "Secured Blockchain-based Spectroscopic Profiling"

description: This repo hosts the supplemental materials for the research "Secured Blockchain-based Spectroscopic Profiling using Time-Variant Sub-Nyquist Sensing Matrix".
DOI: 10.21227/69z3-aw19
title: Supplemental Materials for "Secured Blockchain-based Spectroscopic Profiling"

description: This repo hosts the supplemental materials for the research "Secured Blockchain-based Spectroscopic Profiling using Time-Variant Sub-Nyquist Sensing Matrix".
DOI: 10.6084/m9.figshare.11859750.v11
title: Simulated spectrum peak wave period (3-hourly, 150a) from FIO-ESM v2.0 abrupt-4xCO2 experiment r1i1p1f1

description: Simulated spectrum peak wave period (3-hourly, 150a) from FIO-ESM v2.0 abrupt-4xCO2 experiment (CO2 abruptly quadrupled and then held constant) r1i1p1f1, which is branch from Jan 1, 301 of piControl experiment. The grid, named gx1v6, is the displaced pole (the North Pole displaced to the Greenland) grid with 1.1 degree in longitude and 0.27-0.54 degree in latitude.
DOI: 10.6073/pasta/4f58e441eddbbf6b5abbb32ce746e068
title: PVC01 Plant Species Composition on Selected Watersheds at Konza Prairie

description: Canopy coverage and frequency of plant species were estimated visually in 20 circular 10 sq m plots. Six treatments were sampled, three ungrazed and three to be grazed (in the future) by native grazers (bison). In each case, one of the three watersheds was unburned, another burned annually in April, and the third burned every four years in April. In each treatment two soils were sampled: a lower slope deep fertile non-rocky soil (Tully silty clay loam) and a shallow rocky soil (Florence cherty silt loam) on level to gently sloping ridges.
DOI: 10.6073/pasta/82d3770b26db865b8b8ab87e1cfd84b7
title: AMC01 Growing season microclimate by topographic position for annually-burned and 4-yr burned watersheds at Konza Prairie

description: Dataset contains 30min averages of many variables used to record changes in microclimatic conditions. Microclimate sensor stations were arrayed in discrete topographic positions (upland, slope, lowland) in 4 watersheds: 1D, 1B, 4B, 4F. No microclimate sensor stations were present in upland-1D or lowland-4B because eddy flux towers are present in these locations. Similar microclimate data is available from these flux towers during the time period of this study.
DOI: 10.21227/h207-3973
title: Supplemental Materials for "Secured Blockchain-based Spectroscopic Profiling"

description: This repo hosts the supplemental materials for the research "Secured Blockchain-based Spectroscopic Profiling using Time-Variant Sub-Nyquist Sensing Matrix".
DOI: 10.5281/zenodo.3670915
title: Multi-Attributed Structured Text-to-face Dataset

description: A new data consolidation called Multi-Attributed and Structured Text-to-face (MAST) dataset. The motivation is to have a large corpus of high-quality face images with fine-grained and attribute-focussed annotations. This has the benefits of the attribute oriented approach as well as the semantics in a textual description.
description: {"references": ["Liu, Z., Luo, P., Wang, X., and Tang, X. Deep learning face attributes in the wild, 2014."]}
DOI: 10.5281/zenodo.3670916
title: Multi-Attributed Structured Text-to-face Dataset

description: A new data consolidation called Multi-Attributed Structured Text-to-face (MAST) dataset. The motivation is to have a large corpus of high-quality face images with fine-grained and attribute-focussed annotations. This has the benefits of the attribute oriented approach as well as the semantics in a textual description.
description: {"references": ["Liu, Z., Luo, P., Wang, X., and Tang, X. Deep learning face attributes in the wild, 2014."]}
DOI: 10.5285/7bb5c557-a806-4fce-ba09-94a70a0be934
title: Microclimate data from Coal Nunatak, 2006-2019

description: Microclimate data collected hourly at Coal Nunatak, for 10 climatic variables via automatic data loggers, 2006-2019. Data is not available across the entire temporal range for all variables. NERC funded under the British Antarctic Survey National Capability programme, Polar Science for Planet Earth.
description: Microclimate data was recorded at Anchorage Island. Data was automatically collected and recorded on an hourly basis. 10 climatic variables were recorded: wind speed, wind direction, air temperature, photosynthetically active radiation (PAR), UVA, UVB, temperature at 4 different depths.
description: Two loggers were used. 15-Jan-2008 - 13-Feb-2019 Logger: Campbell CR1000 serial no. 8288. 31-Jan-2006 - 15-Jan-2008 Logger: Campbell CR10X, serial no. XE6531. The same sensors have been used throughout monitoring. Variables: wind speed, wind direction. Sensor: Young 05103. Sensor serial no.: 65997. Variables: temperature (all depths). Sensor: Campbell 107. Sensor serial no.:12966/5, 07006/8, 05393/3, ?. Variable: photosynthetically active radiation. Sensor: Skye SK215. Variable: UVA. Sensor: Delta-T UV-AP. Sensor serial no.: AP-002. Variable: UVB. Sensor: Skye SKU430. Sensor serial no.: 0705 29724.
description: Missing values are included where data was not recorded, or where values indicating malfunctioning equipment have been removed. No extensive quality control or verification has been undertaken. Due to the harsh conditions in Coal Nunatak, data has not been recorded continually across the period. The exact locations of sensors within the soil does change over time due to environmental conditions, so depths recorded are a guide.
DOI: 10.5281/zenodo.3670610
title: UHaT Dataset: Urdu Handwritten Text Dataset

description: <strong>UHaT Dataset</strong> <strong>UHaT: Urdu Handwritten Text Dataset</strong> This dataset contains handwritten characters and digits of Urdu language. The samples are written by 900+ individuals. <strong>Description and organization</strong> Size of images: All the images are stored in 28 by 28 resolution. How many images: The training set per each character contains of 700 images on average. For example, there are 811 train set images for AYN and 697 train set images for ALIF. Similarly, the train set per each contains 700 images on average. For example, there are 678 train set images for digits one. The test set per each character contains 140 images on average. For example, there are 145 test set images for character ALIF. The test set per each digit contains 140 images on average. For example, there are 147 test set images for digit nine. The dataset is organized into four sub-directories. Characters Training set, Characters Test set, Digits training set and digits test set. Each sub-director contains one sub-folder per one character. For example, all the train images for character ALIF are placed in sub-folder Alif. The folder hierarchy is given as: *Data &gt; characters train set &gt; alif Data &gt; characters train set &gt; ayn* And so on…. <strong>How to load directly?</strong> You can also load it directly from the <em>uhat_<em>dataset.npz</em> file. See the kernel </em><strong>load_dataset</strong> <strong>Acknowledgements</strong> Thanks to all volunteers who contributed by providing handwriting samples. <strong>Inspiration</strong> This is an <em>MNIST</em> style dataset. The machine learning community in general will find it useful for experimentation, demonstration purposes of machine learning models.<br> The dataset will also provide an opportunity to researchers to work on Urdu text recognition.
description: If you use this data, please cite the paper Ali, H., Ullah, A., Iqbal, T. et al. SN Appl. Sci. (2020) 2: 152. https://doi.org/10.1007/s42452-019-1914-1
DOI: 10.5281/zenodo.3670611
title: UHaT Dataset: Urdu Handwritten Text Dataset

description: <strong>UHaT Dataset</strong> <strong>UHaT: Urdu Handwritten Text Dataset</strong> This dataset contains handwritten characters and digits of Urdu language. The samples are written by 900+ individuals. <strong>Description and organization</strong> Size of images: All the images are stored in 28 by 28 resolution. How many images: The training set per each character contains of 700 images on average. For example, there are 811 train set images for AYN and 697 train set images for ALIF. Similarly, the train set per each contains 700 images on average. For example, there are 678 train set images for digits one. The test set per each character contains 140 images on average. For example, there are 145 test set images for character ALIF. The test set per each digit contains 140 images on average. For example, there are 147 test set images for digit nine. The dataset is organized into four sub-directories. Characters Training set, Characters Test set, Digits training set and digits test set. Each sub-director contains one sub-folder per one character. For example, all the train images for character ALIF are placed in sub-folder Alif. The folder hierarchy is given as: *Data &gt; characters train set &gt; alif Data &gt; characters train set &gt; ayn* And so on…. <strong>How to load directly?</strong> You can also load it directly from the <em>uhat_<em>dataset.npz</em> file. See the kernel </em><strong>load_dataset</strong> <strong>Acknowledgements</strong> Thanks to all volunteers who contributed by providing handwriting samples. <strong>Inspiration</strong> This is an <em>MNIST</em> style dataset. The machine learning community in general will find it useful for experimentation, demonstration purposes of machine learning models.<br> The dataset will also provide an opportunity to researchers to work on Urdu text recognition.
description: If you use this data, please cite the paper Ali, H., Ullah, A., Iqbal, T. et al. SN Appl. Sci. (2020) 2: 152. https://doi.org/10.1007/s42452-019-1914-1
DOI: 10.5281/zenodo.3669968
title: CNNpredIM - Dataset for Rapid Prediction of Earthquake Ground Shaking Intensity Using Raw Waveform Data and a Convolutional Neural Network

description: The <strong>dataset</strong> available here is the dataset used in the <strong>paper</strong> <em>"Rapid Prediction of Earthquake Ground Shaking Intensity Using Raw Waveform Data and a Convolutional Neural Network".</em> The <strong>abstract</strong> of the <strong>paper</strong>: This study describes a deep convolutional neural network (CNN) based technique for the prediction of intensity measurements (IMs) of ground shaking. The input data to the CNN model consists of multistation 3C broadband and accelerometric waveforms recorded during the 2016 Central Italy earthquake sequence for M ≥ 3.0. We find that the CNN is capable of predicting accurately the IMs at stations far from the epicenter and that have not yet recorded the maximum ground shaking when using a 10 s window starting at the earthquake origin time. The CNN IM predictions do not require previous knowledge of the earthquake source (location and magnitude). Comparison between the CNN model predictions and the predictions obtained with Bindi et al. (2011) GMPE (which require location and magnitude) has shown that the CNN model features similar error variance but smaller bias. Although the technique is not strictly designed for earthquake early warning, we found that it can provide useful estimates of ground motions within 15-20 sec after earthquake origin time depending on various setup elements (e.g., times for data transmission, computation, latencies). The technique has been tested on raw data without any initial data pre-selection in order to closely replicate real-time data streaming. When noise examples were included with the earthquake data, the CNN was found to be stable predicting accurately the ground shaking intensity corresponding to the noise amplitude.
DOI: 10.6073/pasta/9ce6d64a236ae318716657a22429da24
title: Microclimate at Harvard Forest HEM, LPH and EMS Towers since 2005

description: Microclimatic data are collected continuously within footprint areas of the flux towers in order to (1) understand relationships between climatic and microclimatic conditions and carbon dioxide and water vapor exchange between forest and atmosphere, (2) to develop predictive models for the exchange rates of these gases, based on microclimate data, (3) detect long-term trends in climate and microclimate at the sites and (4) determine whether the response of carbon dioxide and water vapor exchange processes to climate or microclimate is changing over time. The primary climatic and microclimatic variables measured at these sites include: above-canopy photosynthetically active radiation (PAR), forest understory PAR at 1 m height, total net radiation exchange measured above the forest canopy, air temperature and relative humidity above the forest canopy, forest understory air temperature at 20 cm and 1 m above ground level (shielded but not ventilated thermocouple sensors, used only to estimate nighttime understory air temperature), soil temperature at 10 cm depth, and soil moisture.
DOI: 10.5519/qd.fmuq94b6
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (121 records)
DOI: 10.5519/qd.hlnrupqh
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (20 records)
DOI: 10.6084/m9.figshare.3761562.v1393
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6073/pasta/575450f063c79c06c5b15a37f5a54235
title: PVC02 Plant Species Composition on Selected Watersheds at Konza Prairie

description: Canopy coverage and frequency were recorded in 20 circular 10 sq m plots. Six treatments were sampled, three ungrazed and three to grazed by native grazers. In each case one of the three watersheds was unburned, another burned annually in April, the third burned every four years in April. In each treatment two soils were sampled: a lower-slope deep fertile nonrocky soil (tully silty clay loam), and a shallow rocky soil (florence cherty silt loam) on level to gently sloping ridges. In 1983 another ungrazed annual burn area '1c' was added 'both tully and florence soils' because original area '1d' appeared aberrant.
DOI: 10.18112/openneuro.ds002152.v1.0.1
title: DMCC13benchmark
DOI: 10.26300/akm8-e875
title: Image Data from "Mechanophenotyping of 3D multicellular clusters using displacement arrays of rendered tractions"
DOI: 10.6073/pasta/e64fe7c9ba9bb502671aabcd9ae2badf
title: PWV01 Cover of Woody Vegetation at Konza Prairie

description: This data set relates effects of soil, grazing intensity and burning treatments on the establishment and subsequent expansion of woody plants in prairie communities. The locations of woody vegetation are marked on a mylar overlay of an aerial photograph of the area being surveyed with an unique symbol for each species and a number for the size. For trees, size is the height to the nearest meter. For shrubs, the number of stems is recorded as a measure of size if the number is less than 25. For large patches of shrubs, the diameter is recorded and the shape of the patch is drawn on the overlay. Two forms of the data are archived. One of them is the actual mylar sheets. The other form is an electronic ascii data that is stored in the subdirectory woody on the lter Novell server. Files are named according to the name of the watershed and year the data was collected (e.g. 004b86.one = first data file for 004b in 1986). For 1986, the files also exist as coverages in PC ARC/INFO files.
DOI: 10.5287/bodleian:nr86p0ojy
title: ViSTA-HD model code
DOI: 10.5287/bodleian:qmbqq6eqr
title: Anomalous high-magnetic field electronic state of the nematic superconductors FeSe1−xSx
DOI: 10.5281/zenodo.3671399
title: Binary 2D morphologies of polymer phase separation

description: This dataset was generated through the simulation of a time evolving Cahn -Hilliard equation, describing phase separation in binary polymer blends. Several realizations of the equation were done through different values of volume fractions and binary interaction parameters. Morphologies were outputted at constant time intervals. Fill factor information for each instance has been provided as well.
DOI: 10.7910/dvn/xro2pi/mtslx0
title: Combined_Data_22236.ods

description: :unav
DOI: 10.7910/dvn/xro2pi/ycmgzz
title: Children_22236.tab

description: :unav
DOI: 10.5281/zenodo.3672077
title: Vera Rubin ridge lamination thickness measured from MAHLI images

description: Laminae thickness for twenty-five targets observed at Vera Rubin Ridge (VRR) in Gale crater, Mars, based on observations from the Mars Science Laboratory Curiosity rover.
DOI: 10.5281/zenodo.3672078
title: Vera Rubin ridge lamination thickness measured from MAHLI images

description: Laminae thickness for twenty-five targets observed at Vera Rubin Ridge (VRR) in Gale crater, Mars, based on observations from the Mars Science Laboratory Curiosity rover.
DOI: 10.5281/zenodo.3672090
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Rainer, Heimo, https://orcid.org/0000-0002-5963-349X. Claims were made on Bloodhound, https://bloodhound-tracker.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.25345/c5md6h
title: MassIVE MSV000084961 - Late-life restoration of mitochondrial function reverses cardiac dysfunction in old mice
title: Diastolic dysfunction is a prominent feature of cardiac aging in both mice and humans. We show here that 8-week treatment of old mice with the mitochondrial targeted peptide SS-31 (elamipretide) can substantially reverse this deficit. SS-31 normalized the increase in proton leak and reduced mitochondrial ROS in cardiomyocytes from old mice, accompanied by reduced protein oxidation and a shift towards a more reduced protein thiol redox state in old hearts. Improved diastolic function was concordant with increased phosphorylation of cMyBP-C Ser282 but was independent of titin isoform shift. Late-life viral expression of mitochondrial-targeted catalase (mCAT) produced similar functional benefits in old mice and SS-31 did not improve cardiac function of old mCAT mice, implicating normalizing mitochondrial oxidative stress as an overlapping mechanism. These results demonstrate that pre-existing cardiac aging phenotypes can be reversed by targeting mitochondrial dysfunction and implicate mitochondrial energetics and redox signaling as therapeutic targets for cardiac aging.