cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3890143
title: MicroCT Data of Mice for Osteoarthritis Biomarkers Project

description: MicroCT data of mice for Quantitative Image-Based Osteoarthritis Bio-markers project. This dataset contains original data (ORIG- in filename of zipped folders containing DICOM files), manual segmentations (MAN- in filename), and automatic segmentations (AUTO- in filename) used for benchmarking of automated 3D bone characterization tools created by Kitware, Inc. Original data from: Lau AG (2014) Joint bleeding in factor VIII deficient mice causes an acute loss of trabecular bone and calcification of joint soft tissues which is prevented with aggressive factor replacement. <em>Haemophilia</em> 20(5):716-722. PMCID: PMC4396845. Changes in version 1.0.1: Includes individual files for manual and automatic segmentations and corresponding original data in zipped folders. Version 1.0.0 contained a single zipped file with the entire dataset (MicroCT data mice osteoarthritis biomarkers.zip). See https://doi.org/10.5281/zenodo.3890144.
description: Funding provided by National Institutes of Health (1R44AR074375).
description: {"references": ["Lau AG, Sun J, Hannah WB, Livingston EW, Heymann D, Bateman TA, Monahan PE (2014) Joint bleeding in factor VIII deficient mice causes an acute loss of trabecular bone and calcification of joint soft tissues which is prevented with aggressive factor replacement. Haemophilia 20(5):716-722. PMCID: PMC4396845."]}
DOI: 10.5281/zenodo.3822027
title: Dataset for "Suitability of fiber-optic distributed temperature sensing to reveal mixing processes and higher-order moments at the forest-air interface"

description: This record contains data used in Peltola et al. (2020): Suitability of fiber-optic distributed temperature sensing to reveal mixing processes and higher-order moments at the forest-air interface, Atmospheric Measurement Techniques. The record contains 30-min statistics calculated from the DTS data and 3D sonic anemometers. Please see the variable attributes in the netCDF files for more information.
DOI: 10.15161/oar.it/30462
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.5281/zenodo.3911059
title: Database_of_negative_coordinators

description: A database of negative coordinators in a sample of 250 languages.
DOI: 10.21227/y74z-qv41
title: IP address assignment durations

description: This dataset covers IP address assignment durations over 6 years, from 13/3/2014 to 26/6/2020. Around 600,000 assignment durations for IPv4 addresses and 190,000 durations for IPv6 addresses is covered. The dataset was processed from the archive of RIPE Atlas ftp.ripe.net/ripe/atlas/. IP addresses of the Atlas probes installed behind NAT are included.
DOI: 10.5519/qd.avu4ttir
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (752003 records)
DOI: 10.5281/zenodo.3911054
title: Global Transnational Mobility Dataset

description: The <strong>Global Transnational Mobility Dataset</strong> provides estimates of country-to-country cross-border human travels on the basis of worldwide statistics on tourism and air passenger traffic. The two sources are adjusted and merged, resulting into a set of data that covers more than 15 billion estimated travels over the years 2011 to 2016.
description: Part of the Global Mobilities Project at the EUI's Migration Policy Centre. See: https://migrationpolicycentre.eu/globalmobilities/
description: {"references": ["Recchi, E., E. Deutschmann & M. Vespe. 2019. Estimating Transnational Human Mobility on a Global Scale. EUI Working Paper RSCAS, 2019/30. Fiesole: European University Institute."]}
DOI: 10.5281/zenodo.3911053
title: Global Transnational Mobility Dataset

description: The <strong>Global Transnational Mobility Dataset</strong> provides estimates of country-to-country cross-border human travels on the basis of worldwide statistics on tourism and air passenger traffic. The two sources are adjusted and merged, resulting into a set of data that covers more than 15 billion estimated travels over the years 2011 to 2016.
description: Part of the Global Mobilities Project at the EUI's Migration Policy Centre. See: https://migrationpolicycentre.eu/globalmobilities/
description: {"references": ["Recchi, E., E. Deutschmann & M. Vespe. 2019. Estimating Transnational Human Mobility on a Global Scale. EUI Working Paper RSCAS, 2019/30. Fiesole: European University Institute."]}
DOI: 10.5281/zenodo.3911062
title: Global Visa Cost Dataset

description: The <strong>Global Visa Cost Dataset</strong> reports the cost of country-to-country visas for tourism, student, business, work, transit, family reunification and other motives worldwide. Data come from governmental websites and refer to costs in 2019 (in US dollars). Please see the attached working paper for more information.
description: Part of the Global Mobilities Project at the EUI's Migration Policy Centre. See: https://migrationpolicycentre.eu/globalmobilities/
description: {"references": ["Recchi, E., Deutschmann, E., Gabrielli, L., Kholmatova, N. 2020. Assessing visa costs on a global scale. EUI RSCAS Working Paper 2020/18"]}
DOI: 10.21227/2y2q-s051
title: IP address assignment durations

description: This dataset covers IP address assignment durations over 6 years, from 13/3/2014 to 26/6/2020. Around 600,000 assignment durations for IPv4 addresses and 190,000 durations for IPv6 addresses is covered. The dataset was processed from the archive of RIPE Atlas ftp.ripe.net/ripe/atlas/. IP addresses of the Atlas probes installed behind NAT are included.
DOI: 10.21227/cxb3-d642
title: IP address assignment durations

description: This dataset covers IP address assignment durations over 6 years, from 13/3/2014 to 26/6/2020. Around 600,000 assignment durations for IPv4 addresses and 190,000 durations for IPv6 addresses is covered. The dataset was processed from the archive of RIPE Atlas ftp.ripe.net/ripe/atlas/. IP addresses of the Atlas probes installed behind NAT are included.
DOI: 10.21227/ch8q-5f22
title: IP address assignment durations

description: This dataset covers IP address assignment durations over 6 years, from 13/3/2014 to 26/6/2020. Around 600,000 assignment durations for IPv4 addresses and 190,000 durations for IPv6 addresses is covered. The dataset was processed from the archive of RIPE Atlas ftp.ripe.net/ripe/atlas/. IP addresses of the Atlas probes installed behind NAT are included.
DOI: 10.21227/5pnj-mb71
title: IP address assignment durations

description: This dataset covers IP address assignment durations over 6 years, from 13/3/2014 to 26/6/2020. Around 600,000 assignment durations for IPv4 addresses and 190,000 durations for IPv6 addresses is covered. The dataset was processed from the archive of RIPE Atlas ftp.ripe.net/ripe/atlas/. IP addresses of the Atlas probes installed behind NAT are included.
DOI: 10.21227/hzyw-ef90
title: IP address assignment durations

description: This dataset covers IP address assignment durations over 6 years, from 13/3/2014 to 26/6/2020. Around 600,000 assignment durations for IPv4 addresses and 190,000 durations for IPv6 addresses is covered. The dataset was processed from the archive of RIPE Atlas ftp.ripe.net/ripe/atlas/. IP addresses of the Atlas probes installed behind NAT are included.
DOI: 10.21227/36d6-qg04
title: IP address assignment durations

description: This dataset covers IP address assignment durations over 6 years, from 13/3/2014 to 26/6/2020. Around 600,000 assignment durations for IPv4 addresses and 190,000 durations for IPv6 addresses is covered. The dataset was processed from the archive of RIPE Atlas ftp.ripe.net/ripe/atlas/. IP addresses of the Atlas probes installed behind NAT are included.
DOI: 10.5281/zenodo.3911117
title: COHESION Study

description: Abstract<br> Background: Proper functioning of health system across its goals is pivotal for health and<br> wellbeing of the population. However, emergence of non-communicable diseases (NCD),<br> imposed immense challenges to health. Amid all NCD, hypertension remained the biggest risk<br> for morbidity and mortality and also a challenge for better health system performance. Dearth<br> of information correlating hypertension and health system issues necessitate the call for a<br> study, to explore, capacity of health system to combat emergence of hypertension<br> (COHESION).<br> Methods: The study was conducted within the population cohort of Birbhum population<br> project, among hypertensive individuals detected earlier. 300 individuals, selected by simple<br> random sampling, interviewed with help of tablet device in ODK-Collect android application.<br> Blood pressure; family and health care expenditure; health seeking; responsiveness of health<br> system and other socio-demographic information collected, collated and analysed.<br> Results: Poor health seeking and control of hypertension (9%), extensive out of pocket<br> expenses (90% had OoPE) and poor to average responsiveness observed. Disease management<br> was suboptimal but associated to out of pocket expenditure with medicine having the major<br> share. Government and private sector departed significantly for expenditure but not with<br> disease control or responsiveness. Inequity in relative expenditure, social status driven system<br> responsiveness found. Regular treatment, longer disease duration, underweight found<br> protective for better blood pressure control.<br> Conclusion: Overall preparedness of health system for tackling NCD burden, seems to be<br> poor. Systems cannot ensure effective treatment, fair financing or good responsiveness. Rather<br> unjustified economic burden exerted over poor while seeking treatment. Even systems<br> responded less towards the poor. These findings may help in policy inputs and stressed on<br> further exploration on the matter.
DOI: 10.5281/zenodo.3911116
title: COHESION Study

description: Abstract<br> Background: Proper functioning of health system across its goals is pivotal for health and<br> wellbeing of the population. However, emergence of non-communicable diseases (NCD),<br> imposed immense challenges to health. Amid all NCD, hypertension remained the biggest risk<br> for morbidity and mortality and also a challenge for better health system performance. Dearth<br> of information correlating hypertension and health system issues necessitate the call for a<br> study, to explore, capacity of health system to combat emergence of hypertension<br> (COHESION).<br> Methods: The study was conducted within the population cohort of Birbhum population<br> project, among hypertensive individuals detected earlier. 300 individuals, selected by simple<br> random sampling, interviewed with help of tablet device in ODK-Collect android application.<br> Blood pressure; family and health care expenditure; health seeking; responsiveness of health<br> system and other socio-demographic information collected, collated and analysed.<br> Results: Poor health seeking and control of hypertension (9%), extensive out of pocket<br> expenses (90% had OoPE) and poor to average responsiveness observed. Disease management<br> was suboptimal but associated to out of pocket expenditure with medicine having the major<br> share. Government and private sector departed significantly for expenditure but not with<br> disease control or responsiveness. Inequity in relative expenditure, social status driven system<br> responsiveness found. Regular treatment, longer disease duration, underweight found<br> protective for better blood pressure control.<br> Conclusion: Overall preparedness of health system for tackling NCD burden, seems to be<br> poor. Systems cannot ensure effective treatment, fair financing or good responsiveness. Rather<br> unjustified economic burden exerted over poor while seeking treatment. Even systems<br> responded less towards the poor. These findings may help in policy inputs and stressed on<br> further exploration on the matter.
DOI: 10.5519/qd.e8e2y009
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (873 records)
DOI: 10.5281/zenodo.3346903
title: Country list with HDI, iHDI, MPI and Gini (version 1)

description: This is pdf of a country list with HDI, iHDI, MPI and Gini. This file is now superseeded by DOI: 10.5281/zenodo.3908363, see https://docs.edtechhub.org/lib/55A44ZRB (which will also be available as a data file).
DOI: 10.5281/zenodo.3346902
title: Country list with HDI, iHDI, MPI and Gini (version 1)

description: This is pdf of a country list with HDI, iHDI, MPI and Gini. This file is now superseeded by DOI: 10.5281/zenodo.3908363, see https://docs.edtechhub.org/lib/55A44ZRB (which will also be available as a data file).
DOI: 10.5281/zenodo.3911144
title: Cervical cancer screening during the COVID-19 Crisis: Africa view point

description: There are approximately 570,000 cases of cervical cancer and 311,000 deaths from cervical cancer globally (1). Approximately 70% of cancer deaths occur in low and middle income countries and cervical cancer is the most common cancer in Africa (2). Therefore cervical cancer screening saves lives by early detection of cases for early management.
DOI: 10.5281/zenodo.3911143
title: Cervical cancer screening during the COVID-19 Crisis: Africa view point

description: There are approximately 570,000 cases of cervical cancer and 311,000 deaths from cervical cancer globally (1). Approximately 70% of cancer deaths occur in low and middle income countries and cervical cancer is the most common cancer in Africa (2). Therefore cervical cancer screening saves lives by early detection of cases for early management.
DOI: 10.5281/zenodo.3903440
title: Supporting dataset

description: This supporting dataset provides raw data underlying Figures 4 and 6–10 in the paper: A conventional straddle-sliding-packer system as a borehole extensometer: Monitoring shear displacement of a fault during an injection test.
DOI: 10.5281/zenodo.3608459
title: Supporting dataset

description: This supporting dataset provides raw data underlying Figures 4 and 6–10 in the paper: A conventional straddle-sliding-packer system as a borehole extensometer: Monitoring shear displacement of a fault during an injection test.
DOI: 10.21227/jg7c-fd74
title: Urban Semantic 3D Dataset

description: This dataset extends the Urban Semantic 3D (US3D) dataset developed and first released for the 2019 IEEE GRSS Data Fusion Contest (DFC19). We provide additional geographic tiles to supplement the DFC19 training data and also new data for each tile to enable training and validation of models to predict geocentric pose, defined as an object's height above ground and orientation with respect to gravity. We also add to the DFC19 data from Jacksonville, Florida and Omaha, Nebraska with new geographic tiles from Atlanta, Georgia.
DOI: 10.21227/tr52-dn09
title: Urban Semantic 3D Dataset

description: This dataset extends the Urban Semantic 3D (US3D) dataset developed and first released for the 2019 IEEE GRSS Data Fusion Contest (DFC19). We provide additional geographic tiles to supplement the DFC19 training data and also new data for each tile to enable training and validation of models to predict geocentric pose, defined as an object's height above ground and orientation with respect to gravity. We also add to the DFC19 data from Jacksonville, Florida and Omaha, Nebraska with new geographic tiles from Atlanta, Georgia.
DOI: 10.21227/twxt-se94
title: Urban Semantic 3D Dataset

description: This dataset extends the Urban Semantic 3D (US3D) dataset developed and first released for the 2019 IEEE GRSS Data Fusion Contest (DFC19). We provide additional geographic tiles to supplement the DFC19 training data and also new data for each tile to enable training and validation of models to predict geocentric pose, defined as an object's height above ground and orientation with respect to gravity. We also add to the DFC19 data from Jacksonville, Florida and Omaha, Nebraska with new geographic tiles from Atlanta, Georgia.
DOI: 10.7910/dvn/qlmpkq/vshrlz
title: Material and instructions to participants.pdf

description: Material and instructions to participants for "Developmental trajectory of syntax comprehension by persons with intellectual disability"
DOI: 10.7910/dvn/qlmpkq
title: Open material for Developmental trajectory of syntax comprehension by persons with intellectual disability

description: The aim was to investigate whether a progressive dissociation between the cognitive level and syntax comprehension occurs during the development of persons with intellectual disabilities (ID). Two cross-sectional developmental trajectory analyses were successively conducted. Study 1 comprised 615 typically developing participants and 615 participants with ID. Their total scores on a syntax comprehension test were regressed on a nonverbal cognitive measure and the slopes of the two groups’ regression lines were compared. In Study 2, logistic regression curves of the two groups for each of the 92 test items were compared. Results showed only negligible between-groups differences of developmental trajectories, whatever the level of analysis. The idea of a progressive dissociation between cognitive level and receptive syntactic skills of people with ID is not confirmed. However, a syntax test evaluating more complex sentences than those used in this study might show such a dissociation.
DOI: 10.5281/zenodo.3901644
title: LANDMASS

description: This dataset was developed at the School of Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology as part of joint activities at the Center for Energy and Geo-Processing (CeGP) at Georgia Tech and KFUPM. LANDMASS stands for “LArge North-Sea Dataset of Migrated Aggregated Seismic Structures”. This dataset was extracted from the North Sea F3 block under the Creative Commons license (CC BY-SA 3.0). For the purposes of this work, four classes of seismic structures: Horizons, Chaotics, Faults, and Salt Domes, were automatically extracted from the F3 block using a curvelet based distance measure for seismic images also proposed by the CeGP. Then the extracted images where manually verified and all outliers or images that had more than one structure were removed. Instructions: The LANDMASS database includes two different datasets. The first, denoted LANDMASS-1, contains 17667 small “patches” of size 99x99 pixels. it includes 9385 Horizon patches, 5140 chaotic patches, 1251 Fault patches, and 1891 Salt Dome patches. The images in this database have values in the range [-1,1]. The second dataset, denoted LANDMASS-2, contains 4000 images. Each image is of size 150x300 pixels and normalized to values in the range [0,1]. Each one of the four classes has 1000 images. Sample images from each database for each class can be found under the /samples file.
description: {"references": ["AlRegib G., Alaudah Y., Alfarraj M. (2015). LANDMASS Seismic Dataset. https://github.com/olivesgatech/LANDMASS.", "Alaudah, Y., & AlRegib, G. (2015, September). A curvelet-based distance measure for seismic images. In 2015 IEEE International Conference on Image Processing (ICIP) (pp. 4200-4204). IEEE.", "O. J. Aribido, G. AlRegib, and M. Deriche, \"Self-Supervised Annotation of Seismic Images Using Latent Space Factorization,\" in IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, Oct. 2020."]}
DOI: 10.5281/zenodo.3901643
title: LANDMASS

description: This dataset was developed at the School of Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology as part of joint activities at the Center for Energy and Geo-Processing (CeGP) at Georgia Tech and KFUPM. LANDMASS stands for “LArge North-Sea Dataset of Migrated Aggregated Seismic Structures”. This dataset was extracted from the North Sea F3 block under the Creative Commons license (CC BY-SA 3.0). For the purposes of this work, four classes of seismic structures: Horizons, Chaotics, Faults, and Salt Domes, were automatically extracted from the F3 block using a curvelet based distance measure for seismic images also proposed by the CeGP. Then the extracted images where manually verified and all outliers or images that had more than one structure were removed. Instructions: The LANDMASS database includes two different datasets. The first, denoted LANDMASS-1, contains 17667 small “patches” of size 99x99 pixels. it includes 9385 Horizon patches, 5140 chaotic patches, 1251 Fault patches, and 1891 Salt Dome patches. The images in this database have values in the range [-1,1]. The second dataset, denoted LANDMASS-2, contains 4000 images. Each image is of size 150x300 pixels and normalized to values in the range [0,1]. Each one of the four classes has 1000 images. Sample images from each database for each class can be found under the /samples file.
description: {"references": ["AlRegib G., Alaudah Y., Alfarraj M. (2015). LANDMASS Seismic Dataset. https://github.com/olivesgatech/LANDMASS.", "Alaudah, Y., & AlRegib, G. (2015, September). A curvelet-based distance measure for seismic images. In 2015 IEEE International Conference on Image Processing (ICIP) (pp. 4200-4204). IEEE.", "O. J. Aribido, G. AlRegib, and M. Deriche, \"Self-Supervised Annotation of Seismic Images Using Latent Space Factorization,\" in IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, Oct. 2020."]}
DOI: 10.5281/zenodo.3910021
title: Preprocessed Penn Tree Bank

description: Penn Tree Bank is originally a corpus of English sentences with linguistic structure annotations. This is a variant originally distributed by Mikolov here and Zaremba here which omits the annotation and splits the dataset into raining, validation, and test. The dataset consists of <strong>929k</strong> <strong>training</strong> words, <strong>73k</strong> <strong>validation</strong> words, and <strong>82k</strong> test words. As part of the preprocessing, words were <strong>lower-cased</strong>, <strong>numbers</strong> were replaced with <strong>N</strong>, newlines were replaced with <strong>&lt;eos&gt;</strong>, and all other punctuation was removed. The vocabulary is the most frequent <strong>10k</strong> words with the rest of the tokens replaced by an <strong>&lt;unk&gt;</strong> token.
DOI: 10.5281/zenodo.3910020
title: Preprocessed Penn Tree Bank

description: Penn Tree Bank is originally a corpus of English sentences with linguistic structure annotations. This is a variant originally distributed by Mikolov here and Zaremba here which omits the annotation and splits the dataset into raining, validation, and test. The dataset consists of <strong>929k</strong> <strong>training</strong> words, <strong>73k</strong> <strong>validation</strong> words, and <strong>82k</strong> test words. As part of the preprocessing, words were <strong>lower-cased</strong>, <strong>numbers</strong> were replaced with <strong>N</strong>, newlines were replaced with <strong>&lt;eos&gt;</strong>, and all other punctuation was removed. The vocabulary is the most frequent <strong>10k</strong> words with the rest of the tokens replaced by an <strong>&lt;unk&gt;</strong> token.
DOI: 10.5281/zenodo.3893290
title: VeloPix Timewalk dataset

description: This repository holds data for the analysis of timewalk measurements in the VeloPix ASIC. The analysis is available at GitHub.
DOI: 10.5281/zenodo.3893289
title: VeloPix Timewalk dataset

description: This repository holds data for the analysis of timewalk measurements in the VeloPix ASIC. The analysis is available at GitHub.