cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/5nnsbn6ync.1
title: Implementation of a Bayesian secondary structure estimation method for the SESCA circular dichroism analysis package

description: Circular dichroism spectroscopy is a structural biology technique frequently applied to determine the secondary structure composition of soluble proteins. Our recently introduced computational analysis package SESCA aids the interpretation of protein circular dichroism spectra and enables the validation of proposed corresponding structural models. To further these aims, we present the implementation and characterization of a new Bayesian secondary structure estimation method in SESCA, termed SESCA_bayes. SESCA_bayes samples possible secondary structures using a Monte Carlo scheme, driven by the likelihood of estimated scaling errors and non-secondary-structure contributions of the measured spectrum. SESCA_bayes provides an estimated secondary structure composition and separate uncertainties on the fraction of residues in each secondary structure class. It also assists efficient model validation by providing a posterior secondary structure probability distribution based on the measured spectrum. Our presented study indicates that SESCA_bayes estimates the secondary structure composition with a significantly smaller uncertainty than its predecessor, SESCA_deconv, which is based on spectrum deconvolution. Further, the mean accuracy of the two methods in our analysis is comparable, but SESCA_bayes provides more accurate estimates for circular dichroism spectra that contain considerable non-SS contributions.
DOI: 10.17632/33wd83y9zy.2
title: Events literature 2008-2018 review

description: Shows a selection process and ratings for journals followed by further analysis and visualisation of the selected events research articles
DOI: 10.17632/bwy5v65547.1
title: Reliability of the tests used for predicting the presence of palmaris longus muscle

description: Reliability of the tests used for predicting the presence of palmaris longus muscle
DOI: 10.17632/xsxvzkcjz2.1
title: Texture_Analysis

description: A Research on the effect of Geostatistical texture Analysis on Image Classification Accuracy Dataset
DOI: 10.17632/h96wg5h3x7.2
title: Social media related transit reviews

description: With the rapid development of web, 2.0, social media has gained tremendous improvement in user-generated content all over the world. Transportation organization raises the economic growth on influencing the well-being of users using social media as a platform, who shares their opinions; access the employment, services, and social connections. Transportation stakeholders not only forecast the ups and downs occurring in the transportation domain but also understand the customer's expectations and needs in terms of quality of services on exploring the reasons for facing dissatisfaction. Transportation-related data in social media has gained significant importance in transportation research.Tweets are accumulated using the Twitter Streaming API from @RailMinIndia. Around 11000 tweets were extracted from the transportation dataset of Twitter through streaming Twitter API @RailMinIndia during 2017 over a period of 30 day’s time frame.
DOI: 10.17632/rn824bfjph.1
title: data_test_time_assessment

description: Can the time it takes a student to complete a test influence his / her performance? To answer this question, the logistic regression model was considered. In its development, evaluation was considered as a way of quantifying the performance of a student reflecting his degree of knowledge in a given content. For this we use records of the initial and final moments when developing an evaluation. The records of time spent were obtained from five different undergraduate classes, with subjects taught by the same teacher, with the same theoretical content, at the same university.
DOI: 10.17632/nmhw6vzsvc.1
title: LINF_130020100

description: ubiquitin-protein ligase | HECT4 Leishmania infantum (strain JPCM5)
DOI: 10.17632/wmddrkynfg.1
title: LINF_130020000

description: programmed cell death 6 protein-like protein Leishmania infantum (strain JPCM5)
DOI: 10.17632/jxggw8v8zc.1
title: Intention and recommendation to use mobile banking apps – Ho Chi Minh City, Vietnam

description: The survey was carried out in Ho Chi Minh City in May-June 2021.
DOI: 10.17632/fh7gfzbsbp.1
title: Utilization of waste Polyethylene Terephthalate (PET) as partial replacement of bitumen in stone mastic asphalt

description: The data shows the results of utilizing waste Polyethylene Terephthalate (PET) plastics in Stone Mastic Asphalt
DOI: 10.17632/vvhkfmzw2d.1
title: LINF_130019100

description: Beta-lactamase superfamily domain containing protein Leishmania infantum (strain JPCM5)
DOI: 10.17632/9fnbcnzzng.1
title: LINF_130020800

description: LdMT; phospholipid-transporting ATPase 1-like protein Leishmania infantum (strain JPCM5)
DOI: 10.17632/px2k9hr94c.1
title: Datasets for manuscript entitled: CTP regulates membrane-binding activity of the nucleoid occlusion protein Noc

description: Bio-layer interferometry (BLI) traces (response vs. time), BMOE crosslinking assays, liposomes sedimentation assays, liposomes flotation assays, microscopy images and Petri disk images, PDB and validation reports.
DOI: 10.7284/142202
title: GNSS (Global Navigation Satellite System) data collected during research cruise LMG1404 using a Garmin 19x instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/142203
title: Gyrocompass data collected during research cruise LMG1404 using a SGB Meridian instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/142204
title: INS (Inertial Navigation System) data collected during research cruise LMG1404 using a Kongsberg Seapath 330+ instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/142193
title: Meteorological Station data collected during research cruise LMG1404 using a USAP RVDAS Metstation instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5517/ccdc.csd.cc246dxp
title: CCDC 1972372: Experimental Crystal Structure Determination

description: Related Article: Thiago F. Ribeiro, Alisson M. Silva, Meiry E. Alvarenga, Lucilia Kato, Cecilia M.A. de Oliveira, Felipe T. Martins|2021|Chem. Data Collect.|34|100733|doi:10.1016/j.cdc.2021.100733
DOI: 10.5517/ccdc.csd.cc25cb41
title: CCDC 2006882: Experimental Crystal Structure Determination

description: Related Article: P. Akhileshwari, K.R. Kiran, M.A. Sridhar, M.P. Sadashiva, N.K. Lokanath|2021|J.Mol.Struct.|1242|130747|doi:10.1016/j.molstruc.2021.130747
DOI: 10.5517/ccdc.csd.cc26gyk6
title: CCDC 2040158: Experimental Crystal Structure Determination

description: Related Article: Youssef Aidibi, Magali Allain, Abdelkrim El-Ghayoury, Philippe Leriche, Lionel Sanguinet|2021|Dyes Pigm.|193|109476|doi:10.1016/j.dyepig.2021.109476
DOI: 10.5517/ccdc.csd.cc26gyl7
title: CCDC 2040159: Experimental Crystal Structure Determination

description: Related Article: Youssef Aidibi, Magali Allain, Abdelkrim El-Ghayoury, Philippe Leriche, Lionel Sanguinet|2021|Dyes Pigm.|193|109476|doi:10.1016/j.dyepig.2021.109476
DOI: 10.5281/zenodo.4926619
title: On the Use of Handheld Augmented Reality for Inventory Tasks: a Study with Magazine Retailers - Dataset

description: This package accompanies the paper: Peter Mitts and Henrique Galvan Debarba (2021). <strong><em>On the Use of Handheld Augmented Reality for Inventory Tasks: a Study with Magazine Retailers</em></strong>. In <em>IFIP Conference on Human-Computer Interaction</em> (INTERACT 21). It contains the dataset and analysis of the user study described in the paper.
DOI: 10.5281/zenodo.4926618
title: On the Use of Handheld Augmented Reality for Inventory Tasks: a Study with Magazine Retailers - Dataset

description: This package accompanies the paper: Peter Mitts and Henrique Galvan Debarba (2021). <strong><em>On the Use of Handheld Augmented Reality for Inventory Tasks: a Study with Magazine Retailers</em></strong>. In <em>IFIP Conference on Human-Computer Interaction</em> (INTERACT 21). It contains the dataset and analysis of the user study described in the paper.
DOI: 10.6084/m9.figshare.14770305
title: 2d_ml_19991201T000000Z.nc

description: 2D Meteorological variables (Output of the ICON-HAM model)<br>
DOI: 10.6084/m9.figshare.14770305.v1
title: 2d_ml_19991201T000000Z.nc

description: 2D Meteorological variables (Output of the ICON-HAM model)<br>
DOI: 10.15468/fu5y7v
title: A new combination in Entada (Leguminosae) from Roraima, Brazil

description: This dataset contains the digitized treatments in Plazi based on the original journal article Rodrigues, Rodrigo Schütz, Flores, Andréia Silva (2012): A new combination in Entada (Leguminosae) from Roraima, Brazil. Phytotaxa 39: 47-50, DOI: 10.11646/phytotaxa.39.1.4, URL: http://biotaxa.org/Phytotaxa/article/view/phytotaxa.39.1.4
DOI: 10.3886/e142542
title: National Poll on Healthy Aging (NPHA), [United States], October 2018

description: By tapping into the perspectives of older adults and their caregivers, the University of Michigan National Poll on Healthy Aging (NPHA) helps inform the public, health care providers, policymakers, and advocates on issues related to health, health care and health policy affecting Americans 50 years of age and older. The poll is designed as a recurring, nationally representative household survey of U.S. adults, which allows assessment of issues in a timely fashion. Launched in spring 2017, the NPHA is modeled after the highly successful University of Michigan C.S. Mott Children's Hospital National Poll on Children's Health. The NPHA grew out of a strong interest in aging-related issues among many members of the University of Michigan Institute for Healthcare Policy and Innovation (IHPI), which brings together more than 600 faculty who study health, health care and the impacts of health policy. IHPI directs the poll which is sponsored by AARP and Michigan Medicine, the University of Michigan academic medical center.<br><br>This project represents the fourth wave or fielding of NPHA in October 2018. This is a new sample of participants and cannot be joined or merged with the data from NPHA Waves 1-3.
description: Three survey weights are included with the dataset, one for the full population of 50-80 year old respondents, one for those 50-64, and one for those ages 65-80. Weights should be applied to interpret population-level rates. See user guide for additional information about the weights.<br>
description: Response Rates: The main survey completion rate for respondents ages 50-64 was 62%. The main survey completion rate for respondents ages 65-80 was 67%. Overall completion rate was 64%.
description: Survey respondents were sampled from a nationally representative panel (KnowledgePanel from Ipsos, formerly GfK). See user guide for details about respondent selection and sampling.
description: Adults ages 50-80 living in non-institutionalized settings in the United States of America.<br>. Smallest Geographic Unit: Smallest geographic unit: State
description: web-based survey; The data files listed in this study for NPHA Wave 4 represent the same variables/content, but have been converted to a variety of file formats for user convenience. <br><br>NPHA Wave 1 can be found by visiting the study page, National Poll on Healthy Aging (NPHA), [United States], April 2017 (ICPSR 37305): https://doi.org/10.3886/ICPSR37305<br><br>NPHA Wave 2 can be found by visiting the study page, National Poll on Healthy Aging (NPHA), [United States], October 2017 (Open ICPSR): https://doi.org/10.3886/E116171<br><br>NPHA Wave 3 can be found by visiting the study page, National Poll on Healthy Aging (NPHA), [United States], March 2018 (Open ICPSR): https://doi.org/10.3886/E130461<br>
DOI: 10.3886/e142542v3
title: National Poll on Healthy Aging (NPHA), [United States], October 2018

description: By tapping into the perspectives of older adults and their caregivers, the University of Michigan National Poll on Healthy Aging (NPHA) helps inform the public, health care providers, policymakers, and advocates on issues related to health, health care and health policy affecting Americans 50 years of age and older. The poll is designed as a recurring, nationally representative household survey of U.S. adults, which allows assessment of issues in a timely fashion. Launched in spring 2017, the NPHA is modeled after the highly successful University of Michigan C.S. Mott Children's Hospital National Poll on Children's Health. The NPHA grew out of a strong interest in aging-related issues among many members of the University of Michigan Institute for Healthcare Policy and Innovation (IHPI), which brings together more than 600 faculty who study health, health care and the impacts of health policy. IHPI directs the poll which is sponsored by AARP and Michigan Medicine, the University of Michigan academic medical center.<br><br>This project represents the fourth wave or fielding of NPHA in October 2018. This is a new sample of participants and cannot be joined or merged with the data from NPHA Waves 1-3.
description: Three survey weights are included with the dataset, one for the full population of 50-80 year old respondents, one for those 50-64, and one for those ages 65-80. Weights should be applied to interpret population-level rates. See user guide for additional information about the weights.<br>
description: Response Rates: The main survey completion rate for respondents ages 50-64 was 62%. The main survey completion rate for respondents ages 65-80 was 67%. Overall completion rate was 64%.
description: Survey respondents were sampled from a nationally representative panel (KnowledgePanel from Ipsos, formerly GfK). See user guide for details about respondent selection and sampling.
description: Adults ages 50-80 living in non-institutionalized settings in the United States of America.<br>. Smallest Geographic Unit: Smallest geographic unit: State
description: web-based survey; The data files listed in this study for NPHA Wave 4 represent the same variables/content, but have been converted to a variety of file formats for user convenience. <br><br>NPHA Wave 1 can be found by visiting the study page, National Poll on Healthy Aging (NPHA), [United States], April 2017 (ICPSR 37305): https://doi.org/10.3886/ICPSR37305<br><br>NPHA Wave 2 can be found by visiting the study page, National Poll on Healthy Aging (NPHA), [United States], October 2017 (Open ICPSR): https://doi.org/10.3886/E116171<br><br>NPHA Wave 3 can be found by visiting the study page, National Poll on Healthy Aging (NPHA), [United States], March 2018 (Open ICPSR): https://doi.org/10.3886/E130461<br>
DOI: 10.5281/zenodo.4812454
title: Snow hyperspectral measurements in Terra Nova Bay (Antarctica) and supplementary materials

description: SISpec is a database containing spectroradiometric, snow and ancillary (environmental and meteorological) data acquired in polar environments. The project is the result of the co-operation of different expertise, and its main objective is to contribute to the knowledge of the interaction between microphysics characteristic of the snow cover and its reflection properties of the solar incident radiation and to study glacial environment and particularly to monitor the snow/ice covers by multispectral remote sensing data. Field surveys were performed in Antarctica, in the region where the Italian research station of Terra Nova Bay is located, the climatic characteristics and the low human impact allow to study snow/ice surfaces without impurities and with different characteristics with respect to those of the Arctic and the Alpine regions, where seasonal melting of the snow cover occur.
DOI: 10.6073/pasta/ac317cc82c571dfbe520e2ce1fbb1b2f
title: Hemlock Mapped Tree Plot at Harvard Forest since 1990

description: Most of the central New England landscape was cleared for agriculture in the mid-19th century and then naturally reforested into "secondary forests" with the abandonment of agricultural land. Some sites, often poorly drained, remained forested, but were usually subjected to intensive fuelwood cutting or logging and are termed "primary forests." The Hemlock Woodlot was never cleared for agriculture, but has a history of cutting and natural disturbance. The hemlock woodlot is located in the center of Harvard Forest's Prospect Hill Tract, adjacent to a spruce-blackgum swamp. Soils are moist and rocky, with a thick organic layer. Hemlock dominates tree species composition (62% by basal area), with hardwoods and scattered large white pine comprising the remainder. Most of the trees are 100-150 years old, with a few hemlock trees up to 230 years old. While the site was never cleared for agriculture, it was logged several times and chestnut blight removed a chestnut-dominated overstory in the 1910s. The 0.72 ha stem-mapped plot is at the center of a 4-ha hemlock-dominated forest. This plot serves as a major reference site and is part of a network of hemlock forests that are being intensively sampled as the hemlock woolly adelgid arrives.
DOI: 10.17632/rz69vxxm99.1
title: Supplementary file

description: these are the supplementary figures for the paper Regularly fluctuating somatic cell count pattern in dairy herds
DOI: 10.3886/e142661
title: National Poll on Healthy Aging (NPHA), [United States], May 2019

description: By tapping into the perspectives of older adults and their caregivers, the University of Michigan National Poll on Healthy Aging (NPHA) helps inform the public, health care providers, policymakers, and advocates on issues related to health, health care and health policy affecting Americans 50 years of age and older. The poll is designed as a recurring, nationally representative household survey of U.S. adults, which allows assessment of issues in a timely fashion. Launched in spring 2017, the NPHA is modeled after the highly successful University of Michigan C.S. Mott Children's Hospital National Poll on Children's Health. The NPHA grew out of a strong interest in aging-related issues among many members of the University of Michigan Institute for Healthcare Policy and Innovation (IHPI), which brings together more than 600 faculty who study health, health care and the impacts of health policy. IHPI directs the poll which is sponsored by AARP and Michigan Medicine, the University of Michigan academic medical center.<br><br>This project represents the fifth wave or fielding of NPHA in May 2019. This is a new sample of participants and cannot be joined or merged with the data from NPHA Waves 1-4.
description: Three survey weights are included with the dataset, one for the full population of 50-80 year old respondents, one for those 50-64, and one for those ages 65-80. Weights should be applied to interpret population-level rates. See user guide for additional information about the weights.
description: Response Rates: The main survey completion rate for respondents ages 50-64 was 74%. The main survey completion rate for respondents ages 65-80 was 78%. Overall completion rate was 76%
description: Survey respondents were sampled from a nationally representative panel (KnowledgePanel from Ipsos, formerly GfK). See user guide for details about respondent selection and sampling.
description: Adults ages 50-80 living in non-institutionalized settings in the United States of America.<br>. Smallest Geographic Unit: Smallest geographic unit: State
description: The data files listed in this study for NPHA Wave 5 represent the same variables/content, but have been converted to a variety of file formats for user convenience. <br><br>NPHA Wave 1 can be found by visiting the study page, National Poll on Healthy Aging (NPHA), [United States], April 2017 (ICPSR 37305): https://doi.org/10.3886/ICPSR37305<br><br>NPHA Wave 2 can be found by visiting the study page, National Poll on Healthy Aging (NPHA), [United States], October 2017 (Open ICPSR): https://doi.org/10.3886/E116171<br><br>NPHA Wave 3 can be found by visiting the study page, National Poll on Healthy Aging (NPHA), [United States], March 2018 (Open ICPSR): https://doi.org/10.3886/E130461<br><br>NPHA Wave 4 can be found by visiting the study page, National Poll on Healthy Aging (NPHA), [United States], October 2018 (Open ICPSR): https://doi.org/10.3886/E142542<br>
DOI: 10.3886/e142661v2
title: National Poll on Healthy Aging (NPHA), [United States], May 2019

description: By tapping into the perspectives of older adults and their caregivers, the University of Michigan National Poll on Healthy Aging (NPHA) helps inform the public, health care providers, policymakers, and advocates on issues related to health, health care and health policy affecting Americans 50 years of age and older. The poll is designed as a recurring, nationally representative household survey of U.S. adults, which allows assessment of issues in a timely fashion. Launched in spring 2017, the NPHA is modeled after the highly successful University of Michigan C.S. Mott Children's Hospital National Poll on Children's Health. The NPHA grew out of a strong interest in aging-related issues among many members of the University of Michigan Institute for Healthcare Policy and Innovation (IHPI), which brings together more than 600 faculty who study health, health care and the impacts of health policy. IHPI directs the poll which is sponsored by AARP and Michigan Medicine, the University of Michigan academic medical center.<br><br>This project represents the fifth wave or fielding of NPHA in May 2019. This is a new sample of participants and cannot be joined or merged with the data from NPHA Waves 1-4.
description: Three survey weights are included with the dataset, one for the full population of 50-80 year old respondents, one for those 50-64, and one for those ages 65-80. Weights should be applied to interpret population-level rates. See user guide for additional information about the weights.
description: Response Rates: The main survey completion rate for respondents ages 50-64 was 74%. The main survey completion rate for respondents ages 65-80 was 78%. Overall completion rate was 76%
description: Survey respondents were sampled from a nationally representative panel (KnowledgePanel from Ipsos, formerly GfK). See user guide for details about respondent selection and sampling.
description: Adults ages 50-80 living in non-institutionalized settings in the United States of America.<br>. Smallest Geographic Unit: Smallest geographic unit: State
description: The data files listed in this study for NPHA Wave 5 represent the same variables/content, but have been converted to a variety of file formats for user convenience. <br><br>NPHA Wave 1 can be found by visiting the study page, National Poll on Healthy Aging (NPHA), [United States], April 2017 (ICPSR 37305): https://doi.org/10.3886/ICPSR37305<br><br>NPHA Wave 2 can be found by visiting the study page, National Poll on Healthy Aging (NPHA), [United States], October 2017 (Open ICPSR): https://doi.org/10.3886/E116171<br><br>NPHA Wave 3 can be found by visiting the study page, National Poll on Healthy Aging (NPHA), [United States], March 2018 (Open ICPSR): https://doi.org/10.3886/E130461<br><br>NPHA Wave 4 can be found by visiting the study page, National Poll on Healthy Aging (NPHA), [United States], October 2018 (Open ICPSR): https://doi.org/10.3886/E142542<br>