cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e130461
title: National Poll on Healthy Aging (NPHA), [United States], March 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 third wave or fielding of NPHA in March 2018. This is a new sample of participants and cannot be joined or merged with the data from NPHA Waves 1 or 2. <br>
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 71%. The main survey completion rate for respondents ages 65-80 was 76%. Overall completion rate was 74%.
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.. Smallest Geographic Unit: Smallest geographic unit: State
description: web-based survey; The data files listed in this study for NPHA Wave 3 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>
DOI: 10.17632/96t8bknjc8.1
title: Strategic Priority of Wellness Tourism Resource at Kerala

description: Kerala has abundant resources for wellness tourism, including Ayurveda traditional medicine, but lacks a branding strategy to successfully compete internationally. A stakeholder-based participatory process was developed to co-create a branding strategy, involving a destination audit supported by an online conjoint analysis survey to discover the relative importance of ‘high-level’ attributes associated with Kerala’s wellness tourism resources. The data was collected among various stakeholders in Wellness related services in Kerala, India. The data was collected using the 1000minds platform based on the Conjoint Analysis. The data file has Part worth utilities, Atribute Ranking and Rank Frequencies.
DOI: 10.3886/e130461v2
title: National Poll on Healthy Aging (NPHA), [United States], March 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 third wave or fielding of NPHA in March 2018. This is a new sample of participants and cannot be joined or merged with the data from NPHA Waves 1 or 2. <br>
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 71%. The main survey completion rate for respondents ages 65-80 was 76%. Overall completion rate was 74%.
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.. Smallest Geographic Unit: Smallest geographic unit: State
description: web-based survey; The data files listed in this study for NPHA Wave 3 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>
DOI: 10.17632/fdnz6dts8p.1
title: Dataset for paper

description: A survey dataset of Northern Mountainous regions in Vietnam
DOI: 10.17632/3d95xywg9j.1
title: Arsenic adsorption by activated Laterite soil

description: Raw data for Arsenic adsorption by activated Laterite soil
DOI: 10.17632/w6v4z2j754.1
title: NCC.MT.resistivity.2021

description: The 3-D resistivity model covers the central portion of NCC containing all the three major blocks (TNCO, ENCC, WNCC), which is inverted from 41 long period and 142 broadband MT sites acquired by the SINOPROBE project. Depth Coverage: 0 - 1000 km (It is reliable &lt; 200 km); Areal Coverage: Latitude: 34N to 40N Longitude: 106.7E to 118.4E.
DOI: 10.3886/e116171
title: National Poll on Healthy Aging (NPHA), [United States], October 2017

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 second wave or fielding of NPHA in October 2017. This is a new sample of participants and cannot be joined or merged with the data from NPHA Wave 1.
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 70%. The main survey completion rate for respondents ages 65-80 was 75%.
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. Smallest Geographic Unit: Smallest geographic unit: State
description: web-based survey; The data files listed in this study for NPHA wave 2 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
DOI: 10.6084/m9.figshare.14766102.v9
title: antspyt1w helper data

description: downloadable cloud data for testing and processing
DOI: 10.3886/e116171v3
title: National Poll on Healthy Aging (NPHA), [United States], October 2017

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 second wave or fielding of NPHA in October 2017. This is a new sample of participants and cannot be joined or merged with the data from NPHA Wave 1.
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 70%. The main survey completion rate for respondents ages 65-80 was 75%.
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. Smallest Geographic Unit: Smallest geographic unit: State
description: web-based survey; The data files listed in this study for NPHA wave 2 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
DOI: 10.17632/9rgm5wrv5h.1
title: Supplementary Material

description: Supplementary Material
DOI: 10.17632/m49ryv4yt2.1
title: New York Tax Pickup Profile

description: This dataset contains a simplified profile of taxi pickup in New York City. The package contains three folders: data, py_code and r_code. The data folder contains the arrival profile data. The py_code folder contains the python code for the calculation of dynamic time warping. The r_code folder contains the r language code for hierarchical clustering and silhouette index calculation.
DOI: 10.18112/openneuro.ds003688.v1.0.4
title: Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film
DOI: 10.6073/pasta/a13d1fe2de6511e82913d70028d2c5e9
title: Lyford Mapped Tree Plot at Harvard Forest since 1969

description: Permanent forest plots provide an empirical understanding of forest change over time, and are an invaluable part of forestry and ecological research. Walter Lyford began measurements of a 2.88 ha red oak-red maple forest on the Prospect Hill Tract of Harvard Forest in 1969. All trees over 2 inches (5 cm) were mapped on very large-scale (1 inch = 5 feet) hand-drawn maps, and included live and dead trees, stumps, windthrows and other features such as stone walls, boulders, soil moisture and a damage boundary from the 1938 hurricane. All living and dead trees have been re-located and measured (diameter at breast height, canopy class for live trees; condition, decay class, diameter, bole length and stem orientation for fallen dead trees) in 1969, 1975, 1987-1992, 2001, and 2011. In 2001, the original, hand-drawn maps were digitized using ArcView GIS. From 1969 to 2011, red oak (Quercus rubra) increased its dominance of the stand’s total basal area from 52% to 60%; however, red maple (Acer rubrum) has become relatively less abundant, decreasing from 30% to 23%. While red oak and red maple continue to account for the majority of the basal area in the stand, the secondary species experienced a dramatic increase in relative abundance of individuals in the stand; yellow birch (Betula alleghaniensis), black birch (Betula lenta), American chestnut (Castanea dentata), American beech (Fagus grandifolia), witch hazel (Hamamelis virginiana), eastern white pine (Pinus strobus), and eastern hemlock (Tsuga canadensis) have increased from comprising 25% of the individuals in the stand in 1969 to comprising 52% in 2011. The total biomass of living individuals is increasing linearly (R2=0.99, p=0.0002), which implies that the stand has not yet experienced an age-induced decrease in biomass accumulation.
DOI: 10.17632/h8bbd67djp.1
title: Publications on the Big data research

description: All 4430 publications on the topic of the Big data on Scopus for bibliometric analysis!
DOI: 10.6073/pasta/00ae545f00ce4f80e948ba37dbcb6923
title: Phenology and Vegetation Growth in Prospect Hill Soil Warming Experiment at Harvard Forest 1992-1993

description: As the mean annual temperature of northeast North America rises as a component of global climatic change, it is important to understand how the predominant vegetation of the region will be affected. Existing experimental and correlative evidence from field sites suggests that temperature rise will significantly modify soil processes, nutrient availability, and plant growth. We investigated the responses of temperate deciduous forest vegetation to artificial soil warming at 20 sampling dates during the 1992 and 1993 growing season. We explored whether soil warming measurably altered growth and the temporal dynamics of leaf and fruit production in 26 species of three contrasting plant growth forms (herbaceous perennials, shrubs, and canopy trees). We hypothesized that soil warming would exert differential effects on emergence, phenology, leaf expansion rates, growth, photosynthesis, and vegetative and sexual reproduction among species, with implications for changing community structure in these forests. Timing of leaf emergence and flower production was not affected by treatment in saplings; however, mature trees and shrubs leafed out slightly earlier and in larger numbers in heated plots. Soil warming significantly enhanced relative growth in stem diameters of woody plants, especially shrubs, in 1992. This effect was less pronounced in 1993. Species richness was lower in heated plots than in intact control plots in both years; disturbed but unheated control plots showed the lowest species richness of all plots. Changes in relative abundance of herbaceous species from 1992 to 1993 were not significantly affected by treatment. Rank abundances of species were more stable between years in the heated and disturbance-control plots than in the intact plots. Total density of herbaceous species was highest in heated plots during April and May of both years, reflecting greatly accelerated emergence of two dominant species, Maianthemum canadense and Uvularia sessilifolia, due to heating. Stem densities declined later in the season, however, and were lower in the heated plots than in the intact control plots. Photosynthetic rates of the two dominant herbaceous species were not affected by soil warming. Of all life forms, herbaceous species (spring ephemerals) were most sensitive to soil warming. Their early appearance could influence carbon and nitrogen acquisition by later-emerging woody species in these deciduous forests. Early leaf-out in woody shrubs and trees can also influence season-long dynamics of water use and carbon sequestration in forests. Soil warming may select for certain tolerant species and reduce species richness in temperate deciduous forests.
DOI: 10.6084/m9.figshare.14770530
title: ThermoProjectDataFormatted.xlsx

description: Please read metadata sheet. Individual bees were given an immune challenge, a sham injection, or were left as a control, then placed in a cool environment. This is the re-warming data for <i>Apis mellifera</i>, <i>Bombus impatiens, </i>and <i>Megachile rotundata</i>
DOI: 10.6084/m9.figshare.14770530.v1
title: ThermoProjectDataFormatted.xlsx

description: Please read metadata sheet. Individual bees were given an immune challenge, a sham injection, or were left as a control, then placed in a cool environment. This is the re-warming data for <i>Apis mellifera</i>, <i>Bombus impatiens, </i>and <i>Megachile rotundata</i>
DOI: 10.5281/zenodo.4926424
title: Tensile tests of Surfalex HF (AA6016A)

description: This dataset contains tensile test measurements of Surfalex HF (AA6016A), an aluminium alloy commonly used in automotive applications.<br> <br> Tensile testing was performed at room temperature using a 5 kN Instron universal testing machine. The tensile tests were performed at a constant strain rate of 5e-4 per second and controlled with a Strain Master DIC system by LaVision. The gauge length of the samples was 25 mm long and 5 mm wide.<br> <br> To study the anisotropy of the material, the samples were cut along different orientations with respect to the sheet rolling direction. Five angles were tested: 0, 30, 45, 60 and 90 degrees. The tensile specimens were polished and then thoroughly cleaned to obtain contamination-free surfaces. In order to perform DIC measurements, the specimens were painted with a white undercoating and a black speckle pattern. Images were recorded at a frequency of 1 Hz during the tests and the DIC analysis was performed using the LaVision commercial software. The data was captured using a subset size of 31 pixels, a step size of 10 pixels, and the displacement field was calculated with reference to the initial, undeformed image. The data extracted from the experiments were the force values from the load cell and the corresponding displacement field measured by DIC. Two experiments were carried out for each angle.
DOI: 10.5281/zenodo.4926423
title: Tensile tests of Surfalex HF (AA6016A)

description: This dataset contains tensile test measurements of Surfalex HF (AA6016A), an aluminium alloy commonly used in automotive applications.<br> <br> Tensile testing was performed at room temperature using a 5 kN Instron universal testing machine. The tensile tests were performed at a constant strain rate of 5e-4 per second and controlled with a Strain Master DIC system by LaVision. The gauge length of the samples was 25 mm long and 5 mm wide.<br> <br> To study the anisotropy of the material, the samples were cut along different orientations with respect to the sheet rolling direction. Five angles were tested: 0, 30, 45, 60 and 90 degrees. The tensile specimens were polished and then thoroughly cleaned to obtain contamination-free surfaces. In order to perform DIC measurements, the specimens were painted with a white undercoating and a black speckle pattern. Images were recorded at a frequency of 1 Hz during the tests and the DIC analysis was performed using the LaVision commercial software. The data was captured using a subset size of 31 pixels, a step size of 10 pixels, and the displacement field was calculated with reference to the initial, undeformed image. The data extracted from the experiments were the force values from the load cell and the corresponding displacement field measured by DIC. Two experiments were carried out for each angle.
DOI: 10.5281/zenodo.4926357
title: Nakazima measurements of Surfalex HF (AA6016A)

description: This dataset contains Nakazima tests of Surfalex HF (AA6016A), an aluminium alloy commonly used in automotive applications.<br> <br> Six sample shapes with neck widths of 10, 20, 40, 60 and 120 mm as well as a full disk, were tested to study different stress state conditions. The samples were first cleaned and spray-painted with a white undercoating and a black speckle pattern to facilitate 3D surface displacement measurements. To ensure that the samples did not slip during testing, a clamp force of 200 kN was applied. The speed of the hemispherical punch, which had a diameter of 100 mm, was maintained at 1 mm per minute for all tests. A graphite lubricant was used to reduce friction between the sample and the punch.<br> <br> Images were recorded during the tests using the GOM-ARAMIS software. The acquisition frequency was set to 2 Hz for the first fifty stages, and was then increased to 20 Hz until the samples fractured. This was done to obtain more information during the localisation phase, where the strain rate starts to increase. Three repeat experiments were carried out for each sample geometry. The raw images are not contained in this dataset. The stereo-correlation analysis, for which we used a subset size of 19 pixels and a step size of 16 pixels, was performed using GOM Correlate Professional 2019. In accordance with the ISO 12004 standard, the major and minor true strains were then extracted from three equidistant, parallel lines, perpendicular to the crack direction and separated from each other by 2 mm. These 3 lines are labelled "Section zero", "Section one" and "Section two" in the dataset.