cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7974645
title: Average decomposed InSAR-GNSS surface velocities for Iran

description: Average East and vertical InSAR-GNSS surface velocities for Iran at a 0.005° pixel spacing (approximately 500 m), derived from COMET-LiCS interferograms (https://comet.nerc.ac.uk/COMET-LiCS-portal/) through the use of LiCSBAS (https://github.com/yumorishita/LiCSBAS) and "decompose_insar_velocities" (https://github.com/andwatson/decompose_insar_velocities). File details: vE and vU refer to the East and vertical velocities, respectively. sE and sU refer to the East and vertical 1-standard deviation uncertainties, respectively. A positive velocity in vE signifies motion to the East, while a positive velocity in vU signifies upward motion. All four files are stored as geotiffs, created using the Matlab "geotiffwrite" function.
DOI: 10.5683/sp3/rmgoiw
title: Mer Bleue QA4EO Airborne Hyperspectral Imagery

description: The data available consist of airborne hyperspectral imagery acquired for the Mer Bleue Arctic Surrogate Simulation Site (MBASSS) S2/L8 Data Product Validation Project in 2016. MBASSS was a collaborative effort aimed at developing a systematic approach for ongoing assessment and validation of satellite based land information products from Landsat 8 OLI and Sentinel 2 satellites. The airborne systems used for this project were the CASI-1500 and SASI-644 hyperspectral instruments (ITRES Research, Calgary AB) installed in the National Research Council Canada Flight Research Lab (NRC-FRL) Twin Otter aircraft. Standard level 2 processed imagery is provided for download as rasters in ENVI Standard format. Imagery is available from April 20, May 11, May 24 and June 23, 2016 as a set of 12 individual flight lines per date. The imagery has been atmospherically corrected and during the geocorrection process, it has been resampled to 1 m pixel size. Currently CASI and SASI imagery are provided separately. Metadata for each flight line is provided in external ascii ENVI header files (*.hdr) and *.met files. The geocorrected imagery provided with pixel level information including pixel view zenith angle (off Nadir angle), DEM, view azimuth angle, radiance path distance, column and row numbers of pixels in non-geocorrected image file, and relative pixel offset between calculated and assigned pixel location. This information is provided in associated *.nad and *.nad.hdr files.
DOI: 10.6084/m9.figshare.25782579.v1
title: Global soil-P deficits database from 1970 to 2017

description: We use a soil-P budgets (SPB) method to present a comprehensive assessment of temporal trends in soil-P deficits spanning the period from 1970-2017 for 10 crop categories in 90 countries and regions. Here, P budgets in cropland soil were calculated by summing the P inputs (mineral fertiliser, manure, irrigation water and pesticides) and subtracting the P removed by harvested crops, crop residues and P leaching.
DOI: 10.6084/m9.figshare.5769141
title: EEG_Auditory_Oddball_Raw_Data

description: This dataset was obtained at the Queensland Brain Institute, Australia, using a 64 channel EEG Biosemi system. 21 healthy participants completed an auditory oddball paradigm (as described in Garrido et al., 2017).<br>For a description of the oddball paradigm, please see Garrido et al., 2017: Garrido, M.I., Rowe, E.G., Halasz, V., & Mattingley, J. (2017). Bayesian mapping reveals that attention boosts neural responses to predicted and unpredicted stimuli. Cerebral Cortex, 1-12. DOI: 10.1093/cercor/bhx087<br>If you use this dataset, please cite its doi, as well as citing the associated methods paper, which is as follows:Harris, C.D., Rowe, E.G., Randeniya, R. and Garrido, M.I. (2018). Bayesian Model Selection Maps for group studies using M/EEG data.<br>For scripts to analyse the data, please see: https://github.com/ClareDiane/BMS4EEG
DOI: 10.6084/m9.figshare.5812764
title: EEG_Auditory_Oddball_Preprocessed_Data

description: This dataset was obtained at the Queensland Brain Institute, Australia, using a 64 channel EEG Biosemi system. 21 healthy participants completed an auditory oddball paradigm (as described in Garrido et al., 2017).<br>For a description of the oddball paradigm, please see Garrido et al., 2017:Garrido, M.I., Rowe, E.G., Halasz, V., & Mattingley, J. (2017). Bayesian mapping reveals that attention boosts neural responses to predicted and unpredicted stimuli. Cerebral Cortex, 1-12. DOI: 10.1093/cercor/bhx087<br>If you use this dataset, please cite its doi, as well as citing the associated methods paper, which is as follows:Harris, C.D., Rowe, E.G., Randeniya, R. and Garrido, M.I. (2018). Bayesian Model Selection Maps for group studies using M/EEG data.<br>For scripts to analyse the data, please see: https://github.com/ClareDiane/BMS4EEG<br>
DOI: 10.17632/yxystdn2hz.1
title: Data set and programs to reproduce the forecasts "Fundamentals and exchange rate forecastability with simple machine learning methods"

description: Data set and programs to reproduce the forecasts in "Fundamentals and exchange rate forecastability with simple machine learning methods" by Amat, Michalski and Stoltz. There are three samples: 1973-2014: based on end-of-month (EOM) data from the International Monetary Fund (IMF); 1999-2017: based on end-of-month (EOM) data from the International Monetary Fund (IMF); real-time data for fundamentals 1973-2014: based on FRED averaged exchange rate data (from the St. Louis Federal Reserve). We present data that we used for all the forecasts. The files with the extension "uirp" are to be used for the UIRP model while those with an extension "mon" for monetary and all fundamentals together given the restrictions on data availability. There is one main file for real time data permitting estimation for the entire 1999-2017 period and others that are trimmed to correspond to the revised data that ends at some month in 2014 for comparison with revised fundamentals. Each data file has the following layout (25 columns): col 1: date (day / month / year) col 2: the exchange rate for that month (average or end-of-month) col 3: the no-change prediction for the next month s_hat_(t+1) = s_t where s_hat_(t+1) is the forecasted exchange rate and s_t is the current exchange rate. col 4-25: predictions formed by each of the fundamentals of the exchange rate for the next month of the form s_hat_(t+1) = s_t + f_t where f_t is the fundamental at time t. col 4-14: predictions with the fundamentals from one country in the currency pair col 15-25: predictions with the fundamentals from the other country [the order is the same as for the other currency] Forecasts formed with the fundamentals, listed only for the first currency: col 4: actual 1-month price level change col 5: 12-month price level change col 6: 6-month price level change col 7: actual 1-month money stock change col 8: 12-month money stock change col 9: 6-month money stock change col 10: money market interest rate col 11: change in the lagged money market interest rates col 12: actual 1-month output (industrial production) level change col 13: 12-month output level change col 14: 6-month output level change "NaN" means that the fundamental to form the forecast was unavailable. To generate our basic tables with results (for example Table 1), we used hence data from columns 5, 8, 10, 11 and 13 (for the first currency in the pair). Commented codes are to reproduce the results in Scilab.
DOI: 10.18739/a26w96b3t
title: Observations from Autonomous Ocean Flux Buoy 45 deployed at site L3 during the MOSAiC transpolar drift, Arctic Basin, 2019-2020

description: During the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition, four Autonomous Ocean Flux Buoys (AOFB) were set up on ice floes on the Siberian side of the Arctic Basin during October 2019 from the Academic Federov ice breaker. AOFB46 was located adjacent to the meteorology tower at the Central Observatory (CO) which was manned from the AWI (Alfred Wegener Institute) Polarstern ice breaker moored to the ice floe. AOFB43, 44, and 45 were deployed with other instrument systems at three remote sites – L1, L2 and L3, nominally 20 kilometer (km) out from the CO. The ice pack supporting the observation systems drifted across the Central Arctic toward Spitzbergen during the following 9 months.
 Data in this package from AOFB 45 is contained in a netCDF file with measurements of ocean variables that have been averaged onto 2-hour-long time intervals, the sample rate used for the ocean turbulence measurements. These timeseries are
 1. The decimal yearday (yd) of 2019 of the middle of each 2 hour sample interval.
 2. The Global positioning system (GPS)-derived latitude (lat) and longitude (lon) sampled at the center of each sample interval.
 3. Eastward and Northward absolute ocean velocity profiles including ice velocity derived from the AOFB position, 5 meter (m) currents measured by the turbulence sensor package, and Acoustic Doppler Current Profiler (ADCP) time series of earth-referenced currents from 10m to 80m depth sampled every 2m. Exact measurement depths are contained in the depth vector variable z.
 4. Reynolds stress components rho and rho , heat flux rho cp , and salt flux , measured by the turbulence sensor nominally at 5m depth from 2 Hertz (Hz) sampled 35 minute ensembles of high resolution velocity, temperature and conductivity timeseries. Here ρ is the in situ seawater density and cp is the specific heat of seawater.
DOI: 10.21227/h2km16
title: A Manitoban Speech Dataset
DOI: 10.25318/3810026601-eng
title:  Principal statistics of mineral industries, by North American Industry Classification System (NAICS)

description: This table contains 352 series, with data for years 1994 - 2008 (not all combinations necessarily have data for all years), and was last released on 2011-09-28. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...) North American Industry Classification System (NAICS) (32 items: Mining (except oil and gas); Coal mining; Coal mining; Metal ore mining ...) Components (11 items: Total establishments; Production workers' hours paid; Production workers' wages; Production workers ...).
DOI: 10.5281/zenodo.7244919
title: EXIOBASE HYBRID v3 - 2011

description: The hybrid version of EXIOBASE, which is part of wider input-output database , is a multi-regional supply and use table. Here the term hybrid indicates that physical flows are accounted in mass units, energy flows in TJ and services in millions of euro (current prices). <strong>EXIOBASE 3 </strong>provides a time series of environmentally extended multi-regional input‐output (EE MRIO) tables ranging from 1995 to a recent year for 44 countries (28 EU member plus 16 major economies) and five rest of the world regions. EXIOBASE 3 builds upon the previous versions of EXIOBASE by using rectangular supply‐use tables (SUT) in a 163 industry by 200 products classification as the main building blocks. The tables are provided in current, basic prices (Million EUR). EXIOBASE 3 is the culmination of work in the FP7 DESIRE project and builds upon earlier work on EXIOBASE 2 in the FP7 CREEA project, EXIOBASE 1 of the FP6 EXIOPOL project and FORWAST project. A special issue of Journal of Industrial Ecology (Volume 22, Issue 3) describes the build process and some use cases of EXIOBASE 3.
DOI: 10.6084/m9.figshare.25785204.v3
title: Isotope hydrograph separation reveals rainfall on the glaciers will enhance ice meltwater discharge to the Himalayan rivers

description: Supplementary data: Calculations of rainwater component using the water balance method and meltwater generation due to rain-induced heat flux.
DOI: 10.13026/5d4a-j060
title: Siena Scalp EEG Database

description: The database consists of EEG recordings of 14 patients acquired at the Unit of
Neurology and Neurophysiology of the University of Siena.  Subjects include 9
males (ages 25-71) and 5 females (ages 20-58). Subjects were monitored with a
Video-EEG with a sampling rate of 512 Hz, with electrodes arranged on the
basis of the international 10-20 System. Most of the recordings also contain 1
or 2 EKG signals. The diagnosis of epilepsy and the classification of seizures
according to the criteria of the International League Against Epilepsy were
performed by an expert clinician after a careful review of the clinical and
electrophysiological data of each patient.
DOI: 10.25318/3810026301-eng
title:  Principal statistics of the mineral industries

description: This table contains 231 series, with data for years 1961 - 2000 (not all combinations necessarily have data for all years), and was last released on 2006-12-14. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...) Type of industry (21 items: Total industrial minerals; Gold mines; Silver; lead; zinc mines; Total metal mines ...) Components (11 items: Total establishments; Production workers' hours paid; Production workers' wages; Production workers ...).
DOI: 10.5066/f7zg6rjp
title: Airborne Magnetic Surveys over Oklahoma, 2017

description: Airborne magnetic surveys were conducted in Oklahoma from August 11th, 2017-October 28th, 2017, by Goldak Airborne Surveys. Here we present downloadable flight line data from those surveys in comma-separated values (csv format). Three areas were flown along a draped surface with a nominal survey height above ground of 120 meters. The flight line spacing for these areas was 200 to 400 m for Area 123, in southwestern Oklahoma; 1000 m for Area 4, in northwestern Oklahoma, and 800 m for Area 5, in north-central Oklahoma. For each area control lines were flown at ten times the traverse line spacing. The surveys were flown to map subsurface geologic variations including ancient magmatic bodies, faults, and other geologic contacts by measuring subtle changes in Earth's magnetic field that reflect different types of buried rock.
DOI: 10.5258/soton/wp00004
title: Africa 1km Population

description: DATASET: Alpha version 2010, 2012, 2015, 2020, 2025, 2030, and 2035 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org/). 
REGION: Asia 
SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) 
PROJECTION: Geographic, WGS84 
UNITS: Estimated pregnancies per grid square 
MAPPING APPROACH: Tatem AJ, Campbell J, Guerra-Arias M, de Bernis L, Moran A, Matthews Z, 2014, Mapping for maternal and newborn health: the distributions of women of childbearing age, pregnancies and births, International Journal of Health Geographics, 13:2 
FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) 
FILENAMES: Example - AFG2010pregnancies.tif = Afghanistan (AFG) pregnancies count map for 2010 adjusted to match UN national estimates on numbers of pregnancies. 
DATE OF PRODUCTION: May 2014 

Dataset construction details and input data are provided here: http://www.worldpop.org.uk/data/methods/ 
The births mapping approach is described here: http://www.ij-healthgeographics.com/content/13/1/2
DOI: 10.5281/zenodo.10477508
title: New paleomagnetic results from the late Mesoproterozoic Luanshigou Formation, Shennongjia Group in south China and their implications for the Pre-Grenvillian connections between south China blocks and southwestern Laurentia

description: Euler rotation parameters used in the reconstruction; Paleomagnetic results and LA-ICP-MS detrital zircon U-Pb data of the Luanshigou Formation.
DOI: 10.5281/zenodo.10782557
title: CH4 top-down emissions from three high-latitude Arctic regions.

description: This dataset contains top-down emissions from three high-latitude Arctic regions (the North Slope of Alaska, the East Siberian Lowlands and the Taymyr Peninsula) using three different priors. Emissions were used in the publication "Ward et al., 2024 - Increasing methane emissions and widespread cold-season release from high-Arctic regions detected through atmospheric measurements" in review with JGR:Atmospheres. 

Top-down emissions were derived using the RHIME inverse model from the University of Bristol's Atmopsheric Chemistry Research Group. For more details on the model, inputs and region definitions please see the above publication.
DOI: 10.5281/zenodo.10786938
title: Effect of Long-Range Transported Fire Aerosols on Cloud Condensation Nuclei Concentrations and Cloud Properties at High Latitudes

description: The tab-delimited files contain Aerosol chemical composition data, size distribution data measured by AMS, ACSM, MAAP, and SMPS, and DMPS at the SMEAR IV station (Puijo) and the Zepplein observatory (Zep) . Please read the file named 'Information.txt' for more details about the files.
DOI: 10.5281/zenodo.10823058
title: Geomagnetic field data at Jicamarca and Piura on 23 March 2023

description: The H-component of the geomagnetic field at Jicamarca (JICA, equator) and Piura (PIUR, off-equator) stations on 23 March 2023.
DOI: 10.5281/zenodo.10988867
title: Data for "The role of ocean mesoscale variability in air-sea CO2 exchange: a global perspective"

description: Processed model data for article "The role of ocean mesoscale variability in air-sea CO2 exchange: a global perspective"
DOI: 10.5281/zenodo.11103033
title: Production Performances Data

description: Production Performances data
DOI: 10.5281/zenodo.11103039
title: Assessors Evaluation Data

description: Assessors evaluation
DOI: 10.5281/zenodo.12660063
title: Inputs for 2D HEC-RAS model for sensitivity analysis of DEM and mesh grid resolutions over part of the Virginia Tech StREAM Lab

description: Inputs into a 2D HEC-RAS model used in the article written by Elizabeth M. Prior, Nathan Michaelson, Jonathan A. Czuba, Thomas J. Pingel, Valerie A. Thomas, and W. Cully Hession titled "Lidar DEM and computational mesh grid resolutions modify roughness in 2D hydrodynamic models".
DOI: 10.5281/zenodo.4027874
title: EMG-EPN-612 Dataset

description: EMG-EPN-612 Dataset This dataset, called EMG-EPN-612, contains EMG signals of 612 people for benchmarking of hand gesture recognition systems. This dataset has been created by the Artificial Intelligence and Computer Vision Research Lab from the Escuela Politécnica Nacional, Quito-Ecuador. The data was obtained by recording, with the Myo armband, EMG signals on the forearm while users were performing five hand gestures: wave-in, wave-out, pinch, open and fist. EMGs of the hand relaxed are also included. The dataset is divided into two groups of 306 people each. One group is for training or designing hand gesture recognition models and the other is intended for testing the classification and recognition accuracy of hand gesture recognition models. In each of these two groups, each person has 50 EMGs for each of the 5 gesture recorded and also 50 EMGs for the hand relaxed. More information about this dataset can be found at: https://laboratorio-ia.epn.edu.ec/en/resources/dataset/2020_emg_dataset_612
DOI: 10.5281/zenodo.8396487
title: Do Agile Scaling Approaches Make A Difference? An Empirical Comparison of Team Effectiveness Across Popular Scaling Approaches

description: This bundle contains supplementary materials for an upcoming academic publication <em>Do Agile Scaling Approaches Make A Difference? An Empirical Comparison of Team Effectiveness Across Popular Scaling Approaches?</em>, by Christiaan Verwijs and Daniel Russo. Included in the bundle are the dataset and SPSS syntaxes. This replication package is made available by C. Verwijs under a "Creative Commons Attribution Non-Commercial Share-Alike 4.0 International"-license (CC-BY-NC-SA 4.0). <strong>About the dataset</strong> The dataset (SPSS) contains anonymized response data from 15,078 team members aggregated into 4,013 Agile teams that participated from scrumteamsurvey.org. Stakeholder evaluations of 1,841 stakeholders were also collected for 529 of those teams. Data was gathered between September 2021, and September 2023. We cleaned the individual response data from careless responses and removed all data that could potentially identify teams, individuals, or their parent organizations. Because we wanted to analyze our measures at the team level, we calculated a team-level mean for each item in the survey. Such aggregation is only justified when at least 10% of the variance exists at the team level (Hair, 2019), which was the case (ICC = 35-50%). No data was missing at the team level. Question labels and option labels are provided separately in Questions.csv. To conform to the privacy statement of scrumteamsurvey.org, the bundle does not include response data from before the team-level aggregation. <strong>About the SPSS syntaxes</strong> The bundle includes the syntaxes we used to prepare the dataset from the raw import, as well as the syntax we used to generate descriptives. This is mostly there for other researchers to verify our procedure.
DOI: 10.5284/1046751
title: Defended Small Towns of Roman Britain

description: Although the vast majority of the population of Roman Britain continued to live in small rural farmsteads, many larger nucleated settlements developed after the conquest, often sited along the expanding road network. Some of these roadside settlements gained earthwork and/or masonry defences at various points during the mid- to late Roman period, and have often been termed 'defended small towns', although these vary markedly in terms of their scale and in the extent of any 'urban' characteristics (streets, public buildings etc.).
From the outset, for pragmatic reasons, the Roman Rural Settlement Project excluded defended small towns from the database, though a very generous donation by Paul Chadwick later enabled a sample of such data to be collected. Twenty-three defended small towns were included in analyses of the Romano-British economy, lifestyles and ritual practices, published in volumes 2 and 3 of the project's monograph series. A total of 211 records from the 23 settlements are included in this resource.
DOI: 10.6084/m9.figshare.21618708.v1
title: Experiment information

description: The ExpInfo.mat contains the following information: <br> subjects: the random ID for all participants, which is also the file name for the MEG data PTBFiles: file names for the Psychtoolbox data EyeFiles: file names for the eye movement data BadSensor: bad MEG sensors for each participant, data from the bad sensors were excluded/removed from further analysis, resulting in different amounts of MEG sensors in the epoch data across participants Trigger: trigger numbers and their represented events CondID: the numbers that used to index two conditions CondName: condition names EventHdr: header information about the columns in the epoch data (trailinfo) SentenceVersion: which version of sentence stimuli was used TrackRightEye: participants ID who were tracked the right eye (most participants were tracked the left eye) Gender: Age: MRIcode: nan indicated no T1 images from this participant, thus the MNI template was used instead in the source localization analysis TagSigSubID: ID of participants who has more than one tagging response sensors in the procedure of tagging-sensor-selection <br>
DOI: 10.6084/m9.figshare.23512020.v1
title: Past and filtered extent of potential habitat shapefiles from '<i>Continental-scale identification and prioritisation of potential refugee species; a case study for rodents in Australia</i>'

description: Past and filtered extent of potential habitat shapefiles supplementary information for '<i>Continental-scale identification and prioritisation of potential refugee species; a case study for rodents in Australia</i>' by Kiarrah J. Smith, Jennifer C. Pierson, Maldwyn J. Evans, Iain J. Gordon, and Adrian D. Manning, published in Ecography 2024.
DOI: 10.18112/openneuro.ds003382.v1.0.0
title: Monash vis-fPET-fMRI
DOI: 10.26066/rds.8880
title: Land Cover of Bhutan 2010

description: Land cover data of Bhutan for 2010. This dataset is created using the LandSat 30 meter spatial resolution satellite image of 2010