cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5522/04/25392082
title: Teacher, Caregiver and Student Disaster Risk and Resilience Data

description: This data is part of a project that aimed to (1) assess and then (2) co-develop with local stakeholders and communities multipronged interventions for fostering resilience through schools. This data was collected as part of the assessment phase, 40 months after a devastating 2018 disaster in Central Sulawesi, Indonesia. Surveys included measures related to risk and resilience assessment from disaster-affected teenage girls (n = 47), teachers (n = 45) and caregivers (n = 38) from three school sites in the region.<br>
DOI: 10.21227/rz46-2n31
title: ExoNet Database: Wearable Camera Images of Human Locomotion Environments

description: Abstract: Advances in computer vision and deep learning are enabling automated environment recognition systems for robotic leg prostheses and exoskeletons. However, small-scale and private training datasets have impeded the widespread development and dissemination of image classification algorithms like convolutional neural networks to recognize the human walking environment. To address these limitations, we developed "ExoNet" - the first open-source, large-scale hierarchical database of wearable camera images (i.e., egocentric perception) of real-world walking environments. Unparalleled in both scale and diversity, ExoNet contains over 5.6 million RGB images of indoor and outdoor walking environments, which were collected using a lightweight wearable camera throughout the summer, fall, and winter. Approximately 923,000 images in ExoNet were human-annotated using a new 12-class hierarchical labelling architecture. Available publicly through IEEE DataPort, ExoNet serves as a communal platform to train, develop, and compare next-generation image classification algorithms for visual perception of human walking environments. In addition to robotic leg prostheses and exoskeletons, applications of ExoNet can extend to humanoids, autonomous legged robots, powered wheelchairs, and other mobility assistive technologies. References:1) Laschowski B, McNally W, Wong A, and McPhee J. (2020). ExoNet Database: Wearable Camera Images of Human Locomotion Environments. Frontiers in Robotics and AI. DOI: 10.3389/frobt.2020.562061.2) Laschowski B, McNally W, Wong A, and McPhee J. (2021). Computer Vision and Deep Learning for Environment-Adaptive Control of Robotic Lower-Limb Exoskeletons. Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). DOI: 10.1109/EMBC46164.2021.9630064. 3) Laschowski B (2021). Energy Regeneration and Environment Sensing for Robotic Leg Prostheses and Exoskeletons. PhD Dissertation. University of Waterloo. http://hdl.handle.net/10012/17816. 4) Laschowski B, McNally W, Wong A, and McPhee J. (2022). Environment Classification for Robotic Leg Prostheses and Exoskeletons using Deep Convolutional Neural Networks. Frontiers in Neurorobotics. DOI: 10.3389/fnbot.2021.730965.
DOI: 10.48510/fk2/tbzbnt
title: Inflammatory markers in the first acute COVID-19

description: Data include inflammatory markers at admission to the hospital in the first COVID-19 episode (n=150). Variables: Demographics, COVID-19 course characteristics such as pneumonia, respiratory failure (SpO2=&lt;93%), outcome (discharge or lethal outcome), admission into the intensive care unit (ICU), comorbidities, smoking (yes/no), using of daily medication and antibacterial drugs before hospitalization, symptoms at admission to the hospital, and the lowest SpO2 during hospitalization. Laboratory tests at admission to the hospital: white cell count (WBC), neutrophils (Neu), lymphocytes (Ly), monocytes (Mo), eosinophils (Eo), erythrocytes (RBC), hemoglobin (HGB), hematocrit (HCT), platelet count (PLT), erythrocyte sedimentation rate (ESR), procalcitonin, alanine aminotransferase (ALT), aspartate aminotransferase (AST), creatinine, GFR, C-reactive protein (CRP), ferritin, lactate dehydrogenase (LDH), D-dimers, prothrombin time, prothrombin index, INR, fibrinogen, and troponin T (hscTnT).
DOI: 10.6084/m9.figshare.25399681
title: TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation

description: Traffic flow analysis is revolutionising traffic management. Qualifying traffic flow data, traffic control bureaus could provide drivers with real-time alerts, advising the fastest routes and therefore optimising transportation logistics and reducing congestion. The existing traffic flow datasets have two major limitations. They feature a limited number of classes, usually limited to one type of vehicle, and the scarcity of unlabelled data. In this paper, we introduce a new benchmark traffic flow image dataset called TrafficCAM. Our dataset distinguishes itself by two major highlights. Firstly, TrafficCAM provides both pixel-level and instance-level semantic labelling along with a large range of types of vehicles and pedestrians. It is composed of a large and diverse set of video sequences recorded in streets from eight Indian cities with stationary cameras. Secondly, TrafficCAM aims to establish a new benchmark for developing fully-supervised tasks, and importantly, semi-supervised learning techniques. It is the first dataset that provides a vast amount of unlabelled data, helping to better capture traffic flow qualification under a low-cost annotation requirement. More precisely, our dataset has 4,364 image frames with semantic and instance annotations along with 58,689 unlabelled image frames. We validate our new dataset through a large and comprehensive range of experiments on several state-of-the-art approaches under four different settings: fully-supervised semantic and instance segmentation, and semi-supervised semantic and instance segmentation tasks.
DOI: 10.6084/m9.figshare.25399681.v1
title: TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation

description: Traffic flow analysis is revolutionising traffic management. Qualifying traffic flow data, traffic control bureaus could provide drivers with real-time alerts, advising the fastest routes and therefore optimising transportation logistics and reducing congestion. The existing traffic flow datasets have two major limitations. They feature a limited number of classes, usually limited to one type of vehicle, and the scarcity of unlabelled data. In this paper, we introduce a new benchmark traffic flow image dataset called TrafficCAM. Our dataset distinguishes itself by two major highlights. Firstly, TrafficCAM provides both pixel-level and instance-level semantic labelling along with a large range of types of vehicles and pedestrians. It is composed of a large and diverse set of video sequences recorded in streets from eight Indian cities with stationary cameras. Secondly, TrafficCAM aims to establish a new benchmark for developing fully-supervised tasks, and importantly, semi-supervised learning techniques. It is the first dataset that provides a vast amount of unlabelled data, helping to better capture traffic flow qualification under a low-cost annotation requirement. More precisely, our dataset has 4,364 image frames with semantic and instance annotations along with 58,689 unlabelled image frames. We validate our new dataset through a large and comprehensive range of experiments on several state-of-the-art approaches under four different settings: fully-supervised semantic and instance segmentation, and semi-supervised semantic and instance segmentation tasks.
DOI: 10.14473/csda/kivw11/nwl1of
title: Volby do PS 2021_predvolebni_vyzkumy_Data_1_vlna_FIN1.tab

description: Data
DOI: 10.14473/csda/kivw11/ny0rdd
title: D_CSDA00318.pdf

description: Dotazník Předvolební výzkum 2021 - 1. vlna
DOI: 10.14473/csda/kivw11
title: Předvolební výzkumy volebního potenciálu k volbám do PS PČR 2021 (1.vlna)

description: Dva předvolební výzkumy volebního potenciálu před volbami do PS PČR 2021 na robustním vzorku 3 000 respondentů sloužily jednak jako klíč pro výběr hostů do předvolebních debat ČT a také jako podklad pro vysílání zpravodajských a diskuzních pořadů ČT. Základní součásti výzkumu: - blok otázek volebního potenciálu, volební účast, odhodlání jít k volbám, přesvědčení o volbě a základní demografie - blok tematických otázek - hodnocení vlády v době koronavirové krize, postoj k očkování, zvyšování daní, obavy z budoucího vývoje, přijatelnost lídra, hodnocení předvolební kampaně
DOI: 10.6084/m9.figshare.25383697.v3
title: Silicodata: A benchmark chest X-ray dataset for Silicosis detection with radiologist's annotations

description: This research attempts to provide first its type public dataset for silicosis detection. The dataset contains frontal chest X-rays collected over three years. The data has been collected from the stone workers in the primary health centres of Rajasthan, India. The dataset contains samples of silicosis, STB, TB, and normal. The average size of each sample is around 3567 x 2898. The samples in the dataset are made available as three-channel JPG images. The dataset is divided into two sets:Set A: It contains images with only disease labels.Set B: It contains images with lung segmentation maps, annotations and disease labels
DOI: 10.57780/esa-38d8c09
title: Cryo-TEMPO Summer Sea Ice
DOI: 10.14473/csda/tss58y/iikzgk
title: Nesstar_NS_1004_DataFile.tab

description: Data
DOI: 10.14473/csda/tss58y/zfsbpk
title: K_V1004.pdf

description: Karty
DOI: 10.14473/csda/tss58y/lve59j
title: OM_V1004.pdf

description: Ostatní materiály
DOI: 10.14473/csda/tss58y/wjdwgz
title: D_V1004.pdf

description: Dotazník
DOI: 10.14473/csda/tss58y/7a5op2
title: TI_V1004.pdf

description: Technická informace
DOI: 10.14473/csda/tss58y/h9wrx3
title: PR03_V1004.pdf

description: Občané o soužití s Romy – duben 2010. Tisková zpráva CVVM.
DOI: 10.14473/csda/tss58y/opksbe
title: PR06_V1004.pdf

description: Důvěra institucím Evropské unie. Tisková zpráva CVVM.
DOI: 10.14473/csda/tss58y/whgn0a
title: PR04_V1004.pdf

description: Občané o členství České republiky v Evropské unii. Tisková zpráva CVVM.
DOI: 10.14473/csda/tss58y/jup8xm
title: PR05_V1004.pdf

description: Důvěra vrcholným politikům. Tisková zpráva CVVM.
DOI: 10.14473/csda/tss58y/e2edop
title: PR08_V1004.pdf

description: Hodnocení životních podmínek v místě bydliště. tisková zpráva CVVM.
DOI: 10.14473/csda/tss58y/tojqoy
title: PR02_V1004.pdf

description: Důvěra ústavním institucím a spokojenost s politickou situací v říjnu 2010. Tisková zpráva CVVM.
DOI: 10.15468/qbkxvf
title: Occurrence of Buprestidae housed at the natural history museum collection in Nairobi, Kenya

description: The dataset presents occurrence records of beetles in the family Buprestidae commonly known as jewel beetles housed at the natural history collections at the National Museums of Kenya. The specimens were collected over many years from within Kenya and other parts of Africa.
DOI: 10.14473/csda/tss58y
title: Naše společnost 2010 - duben

description: Kontinuální měsíční výzkum provedl výzkumný tým CVVM Sociologického ústavu AV ČR v rámci pravidelného měsíčního výzkumného projektu. Jsou při něm zjišťovány postoje a názory občanů. Výzkum provedl výzkumný tým CVVM Sociologického ústavu AV ČR v rámci výzkumu. "Naše společnost 2010". Sběr dat provedla tazatelská síť CVVM.
DOI: 10.14473/csda/tss58y/9tojpk
title: PR07_V1004.pdf

description: Názory obyvatel na hodnoty uplatňované v Evropské unii a evropskou integraci ve vybraných oblastech. Tisková zpráva CVVM.
DOI: 10.14473/csda/tss58y/k5s5rr
title: PR01_V1004.pdf

description: Stranické preference a volební model v dubnu 2010. Tisková zpráva CVVM.
DOI: 10.3886/e114166
title: Replication data for: The New Kaldor Facts: Ideas, Institutions, Population, and Human Capital

description: In 1961, Nicholas Kaldor highlighted six "stylized" facts to summarize the patterns that economists had discovered in national income accounts and to shape the growth models being developed to explain them. Redoing this exercise today shows just how much progress we have made. In contrast to Kaldor's facts, which revolved around a single state variable, physical capital, our updated facts force consideration of four far more interesting variables: ideas, institutions, population, and human capital. Dynamic models have uncovered subtle interactions among these variables, generating important insights about such big questions as: Why has growth accelerated? Why are there gains from trade? (JEL D01, E01, E22, E23, E24, J11)
DOI: 10.3886/e114166v1-146951
title: Replication data for: The New Kaldor Facts: Ideas, Institutions, Population, and Human Capital

description: In 1961, Nicholas Kaldor highlighted six "stylized" facts to summarize
the patterns that economists had discovered in national income accounts and to shape the growth models being developed to explain them. Redoing this exercise today shows just how much progress we have made. In contrast to Kaldor's facts, which revolved around a single state variable, physical capital, our updated facts force consideration
of four far more interesting variables: ideas, institutions, population, and human capital. Dynamic models have uncovered subtle interactions among these variables, generating important insights about such big questions as: Why has growth accelerated? Why are there gains from trade? (JEL D01, E01, E22, E23, E24, J11)
DOI: 10.14473/csda/a5bkq3/v0ve4k
title: D_V1003.pdf

description: Dotazník
DOI: 10.14473/csda/a5bkq3/2gbrtp
title: TI_V1003.pdf

description: Technická informace
DOI: 10.14473/csda/a5bkq3/7wzvhk
title: PR04_V1003.pdf

description: Důvěra ústavním institucím a spokojenost s politickou situací v březnu 2010. Tisková zpráva CVVM.
DOI: 10.14473/csda/a5bkq3/82fbkb
title: PR03_V1003.pdf

description: Stranické preference a volební model v březnu 2010. Tisková zpráva CVVM.
DOI: 10.14473/csda/a5bkq3/d7ixjo
title: PR09_V1003.pdf

description: Mínění o rozšířenosti korupce mezi veřejnými činiteli. Tisková zpráva CVVM.
DOI: 10.14473/csda/a5bkq3/j27ntd
title: K_V1003.pdf

description: Karty
DOI: 10.14473/csda/a5bkq3/mfbnwe
title: PR02_V1003.pdf

description: Postoje k podobě politického systému. Tisková zpráva CVVM.
DOI: 10.14473/csda/a5bkq3/gufjny
title: PR01_V1003.pdf

description: Názory na podílení se občanů na rozhodování. Tisková zpráva CVVM.
DOI: 10.14473/csda/a5bkq3/qeicac
title: PR05_V1003.pdf

description: Důvěra některým institucím veřejného života. Tisková zpráva CVVM.
DOI: 10.14473/csda/a5bkq3/xyvvz4
title: OM_V1003.pdf

description: Ostatní materiály 1
DOI: 10.14473/csda/a5bkq3/1cc63e
title: PR10_V1003.pdf

description: Politická kultura. Tisková zpráva CVVM.
DOI: 10.14473/csda/a5bkq3/u27xqj
title: PR06_V1003.pdf

description: Postoje české veřejnosti k cizincům – březen 2010. Tisková zpráva CVVM.
DOI: 10.14473/csda/a5bkq3/rmb626
title: Nesstar_NS_1003_DataFile.tab

description: Data
DOI: 10.14473/csda/a5bkq3/wy8dyg
title: OM2_V1003.pdf

description: Ostatní materiály 2
DOI: 10.14473/csda/a5bkq3/wwrrbg
title: PR07_V1003.pdf

description: Postoje české veřejnosti k zaměstnávání cizinců – březen 2010. Tisková zptáva CVVM.
DOI: 10.14473/csda/a5bkq3
title: Naše společnost 2010 - březen

description: Kontinuální měsíční výzkum provedl výzkumný tým CVVM Sociologického ústavu AV ČR v rámci pravidelného měsíčního výzkumného projektu. Jsou při něm zjišťovány postoje a názory občanů. Výzkum provedl výzkumný tým CVVM Sociologického ústavu AV ČR v rámci výzkumu. "Naše společnost 2010". Sběr dat provedla tazatelská síť CVVM.
DOI: 10.14473/csda/a5bkq3/aqbf9m
title: PR08_V1003.pdf

description: Morálka politiků a vliv na politické rozhodování. Tisková zpráva CVVM.
DOI: 10.14473/csda/ourqgy/v6fyet
title: TI_V1002.pdf

description: Technická informace
DOI: 10.14473/csda/ourqgy/fqlskx
title: D_V1002.pdf

description: Dotazník
DOI: 10.14473/csda/ourqgy/lxzrj8
title: K_V1002.pdf

description: Karty
DOI: 10.14473/csda/ourqgy/q2uqmi
title: OM_V1002.pdf

description: Ostatní materiály
DOI: 10.14473/csda/ourqgy/fpqbem
title: PR03_V1002.pdf

description: Hodnocení naléhavosti zabývání se oblastmi veřejného života a očekávaný vývoj v roce 2010. Tisková zpráva CVVM.
DOI: 10.14473/csda/ourqgy/aoyery
title: PR08_V1002.pdf

description: Daně z pohledu veřejného mínění – únor 2010. Tisková zpráva CVVM.
DOI: 10.14473/csda/ourqgy/8vgrhe
title: PR06_V1002.pdf

description: Názory na podílení se občanů na rozhodování. Tisková zpráva CVVM.
DOI: 10.14473/csda/ourqgy/yii35n
title: PR02_V1002.pdf

description: Důvěra ústavním institucím a spokojenost s politickou situací v březnu 2010. Tisková práva CVVM.
DOI: 10.14473/csda/ourqgy/jfxyx2
title: PR07_V1002.pdf

description: Postoje k podobě politického systému. Tisková zpráva CVVM.
DOI: 10.14473/csda/ourqgy/faybzd
title: PR10_V1002.pdf

description: Názory na motivy vstupu do politiky a zájem politiků o mínění obyčejných lidí. Tisková zpráva CVVM.
DOI: 10.14473/csda/ourqgy/1qguka
title: PR05_V1002.pdf

description: Občané o svých možnostech ovlivňovat veřejné dění – únor 2010. Tisková zpráva CVVM.
DOI: 10.14473/csda/ourqgy/hi7jmo
title: PR09_V1002.pdf

description: Názory občanů na vybrané mezninárodní instituce. Tisková zpráva CVVM.
DOI: 10.14473/csda/ourqgy/vokwlu
title: PR04_V1002.pdf

description: Angažovanost Čechů ve veřejném životě – únor 2010. Tisková zpráva CVVM.
DOI: 10.14473/csda/ourqgy/far0nr
title: PR01_V1002.pdf

description: Stranické preference a volební model v únoru 2010. Tisková zpráva CVVM.
DOI: 10.14473/csda/ourqgy
title: Naše společnost 2010 - únor

description: Kontinuální měsíční výzkum provedl výzkumný tým CVVM Sociologického ústavu AV ČR v rámci pravidelného měsíčního výzkumného projektu. Jsou při něm zjišťovány postoje a názory občanů. Výzkum provedl výzkumný tým CVVM Sociologického ústavu AV ČR v rámci výzkumu. "Naše společnost 2010". Sběr dat provedla tazatelská síť CVVM.
DOI: 10.14473/csda/ourqgy/i7yelr
title: Nesstar_NS_1002_DataFile.tab

description: Data
DOI: 10.15468/dl.tuxyd4
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Platyceps sinai (Schmidt & Marx, 1956)"
 ]
}

 The dataset includes 5 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081292-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/4c9e31e5-9b2e-4046-b9ce-42b6ea84a901.v1
title: Supplementary material for paper "Slideo: Bicycle-to-Vehicle communication to intuitively share intention to turn with automated vehicles"

description: In urban environments, cycling is an important method of transportation due to being sustainable, healthy and less space-intensive than motorised traffic. Most literature on interactions between automated vehicles (AVs) and vulnerable road users (VRUs) focuses on external Human-Machine Interfaces positioned on AVs and telling VRUs what to do. Such an interface requires cyclists to actively look for and interpret the information and can reduce their ability to make their own decisions. We designed a physical bicycle-to-vehicle (B2V) interaction that allows cyclists to share the intention to turn with AVs through vehicle-to-everything (V2X) communication. We explored four concepts of interaction with hands, feet, hips, and knees. The final concept uses haptic feedback in each handle. The test with nine participants explored the clarity of the feedback and compared two variations: (1) providing feedback in the beginning, during and at the end and (2) giving feedback only at the beginning and end. Results indicate that the general meaning of both variants is clear and that the preferred variation of feedback is up to personal preference. We suggest that B2V interactions should be possible to personalise.
DOI: 10.15468/dl.pbzyee
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Philothamnus ornatus Bocage, 1872"
 ]
}

 The dataset includes 21 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081291-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5255/ukda-sn-857041
title: Migration, Transformation and Sustainability, 2018-2022

description: This project collected quantitative data through a cross-sectional survey that aims to study the disruptive potential of migration on behavioural and attitudinal aspects of consumption and habit formation for sustainable practices. The data were collected in eight cities: Accra (Ghana), Dhaka (Bangladesh), Amsterdam (Netherlands), Brussels (Belgium), London (UK), Worcester (USA), Malmo (Sweden), and Maputo (Mozambique). The survey contains information on demographics, place of residence, place attachment, safe and trust, sustainable attitudes, and sustainable behaviours. In addition, data from Accra and Dhaka also contains life histories (i.e. retrospective data on demographics, migration history, place attachment, and safe and trust).
DOI: 10.6084/m9.figshare.21916540
title: Kernel Estimation of Bivariate Time-Varying Coefficient Model for Longitudinal Data with Terminal Event

description: We propose a nonparametric bivariate time-varying coefficient model for longitudinal measurements with the occurrence of a terminal event that is subject to right censoring. The time-varying coefficients capture the longitudinal trajectories of covariate effects along with both the followup time and the residual lifetime. The proposed model extends the parametric conditional approach given terminal event time in recent literature, and thus avoids potential model misspecification. We consider a kernel smoothing method for estimating regression coefficients in our model and use cross-validation for bandwidth selection, applying undersmoothing in the final analysis to eliminate the asymptotic bias of the kernel estimator. We show that the kernel estimates follow a finite-dimensional normal distribution asymptotically under mild regularity conditions, and provide an easily computed sandwich covariance matrix estimator. We conduct extensive simulations that show desirable performance of the proposed approach, and apply the method to analyzing the medical cost data for patients with end-stage renal disease. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.21916540.v3
title: Kernel Estimation of Bivariate Time-Varying Coefficient Model for Longitudinal Data with Terminal Event

description: We propose a nonparametric bivariate time-varying coefficient model for longitudinal measurements with the occurrence of a terminal event that is subject to right censoring. The time-varying coefficients capture the longitudinal trajectories of covariate effects along with both the followup time and the residual lifetime. The proposed model extends the parametric conditional approach given terminal event time in recent literature, and thus avoids potential model misspecification. We consider a kernel smoothing method for estimating regression coefficients in our model and use cross-validation for bandwidth selection, applying undersmoothing in the final analysis to eliminate the asymptotic bias of the kernel estimator. We show that the kernel estimates follow a finite-dimensional normal distribution asymptotically under mild regularity conditions, and provide an easily computed sandwich covariance matrix estimator. We conduct extensive simulations that show desirable performance of the proposed approach, and apply the method to analyzing the medical cost data for patients with end-stage renal disease. Supplementary materials for this article are available online.