cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7488/ds/3446
title: Feasibility of Peer-led, Professionals Assisted Pulmonary rehabilitation(PLPAPR): Exploratory multi-centric pilot study
title: Feasibility of Peer-led, Professionals Assisted Pulmonary rehabilitation (PLPAPR)

description: The dataset consist of demographic data, medical history, smoking history, occupation history, height and weight and treatment details. Six-minute walk test (6-MWT), rate of perceived exertion (RPE) using the modified Borg 0-10 scale, upper and lower limb endurance using hand grip strengthener and cycle ergometer. Data on physical activity using the International Physical Activity Questionnaire, nutritional status, anxiety and depression levels using the Hospital anxiety and depression scale (HADS), activities of daily living using London Chest Activity of Daily Living scale and data on St. Georges Respiratory questionnaire are also a part of this dataset. This dataset contains data on all the above mentioned variables at two time points, 8 weeks apart.
description: -
DOI: 10.5281/zenodo.7882236
title: MUSES Leaf Area Index (LAI) Monthly Global 1km SIN Grid in 2015

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 1km spatial resolution and monthly temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2015. <em>Please <strong>click here</strong> to download the MUSES LAI product <strong>in 2014</strong></em>, <em>and <strong>click here</strong> to download the MUSES LAI product <strong>in 2016</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2015 Spatial Resolution: 1 km Temporal Resolution: 1 month Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7882235
title: MUSES Leaf Area Index (LAI) Monthly Global 1km SIN Grid in 2015

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 1km spatial resolution and monthly temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2015. <em>Please <strong>click here</strong> to download the MUSES LAI product <strong>in 2014</strong></em>, <em>and <strong>click here</strong> to download the MUSES LAI product <strong>in 2016</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2015 Spatial Resolution: 1 km Temporal Resolution: 1 month Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7882219
title: MUSES Fractional Vegetation Coverage (FVC) Monthly Global 500m SIN Grid in 2016

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global FVC product at 500m spatial resolution and monthly temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 500m resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. This dataset is the MUSES FVC product in 2016. <em>Please <strong>click here</strong> to download the MUSES FVC product <strong>in 2015</strong></em>, <em>and <strong>click here</strong> to download the MUSES FVC product <strong>in 2017</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2016 Spatial Resolution: 500m Temporal Resolution: 1 month Projection: Sinusoidal Data Format: HDF Scale: 0.004 Valid Range: 0 – 250 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7882218
title: MUSES Fractional Vegetation Coverage (FVC) Monthly Global 500m SIN Grid in 2016

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global FVC product at 500m spatial resolution and monthly temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 500m resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. This dataset is the MUSES FVC product in 2016. <em>Please <strong>click here</strong> to download the MUSES FVC product <strong>in 2015</strong></em>, <em>and <strong>click here</strong> to download the MUSES FVC product <strong>in 2017</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2016 Spatial Resolution: 500m Temporal Resolution: 1 month Projection: Sinusoidal Data Format: HDF Scale: 0.004 Valid Range: 0 – 250 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5278/53746020-c357-420e-9bf8-5fc8aea31f77
title: Micro-climate measurement campaign of the outdoor air temperature around an office building in Denmark during the summer 2022

description: Micro-climate measurement campaign of the outdoor air temperature around an office building in Denmark during the summer 2022. Includes air temperature at different distances from the building envelope on the South and North facades and on the roof. Includes weather data measured on the roof of the case building. Includes air temperature at a far open field 220 m from the building case. Includes the dry bulb temperature of the closest reference weather station.
DOI: 10.5278/90db0334-8ff0-4e2d-9d13-5af8b11d2701
title: Synthetic STATA test data for Exercise ECG weighted clinical likelihood

description: The dataset contains data from 100 synthetic patients undergoing ExECG for coronary artery disease in constructed using synthpop https://cran.r-project.org/web/packages/synthpop/index.html The dataset is used for testing of https://github.com/CardioLab/ExECG-CL
DOI: 10.5278/384b6055-89ee-4d0f-a4f1-7d74b15a7b60
title: REKON værktøjskasse
title: REKON Toolbox

description: This is a collection of the supplementary files for the appendices in the REKON book "Development of reconfigurable production systems"
DOI: 10.5278/115de87f-f1e9-4d93-90f0-5097af6a4541
title: The Industrial Symbiosis Facilitator Role: Mapping Actions and Skills in IS literature

description: While research on emergence and facilitation of IS is plenty, a holistic description of facilitator actions, let alone skills, is missing. Therefore, a systematic literature review (Snyder, 2019) was conducted, taking departure in a Web of Science search with the search string (“orchestrat*” or “facilitat*”) and “industrial symbiosis”, covering articles in English language. From the resulting 124 articles, those were selected that 1) view the facilitator as an (inter-)organizational phenomenon and present insights on actions and skills of a facilitating entity and 2) were based on an analysis of empirical data, leaving a remainder of 20 articles. While reviewing articles for these two criteria, it was checked if they refer to other potentially relevant sources. Through this backward snowballing, 7 additional articles were identified. From this final list of 27 articles, 156 quotes referring to actions and skills of the IS facilitator were extracted. An inductive grouping and analysis of these quotes pointed at five main types of tasks and related activities and skills.
DOI: 10.5278/48b627f9-f45b-4cbd-a085-9046fb1425fe
title: Live deployment data of bus occupancy

description: Data for bus occupancy estimation is collected from a real life deployment on a bus line in a medium sized German city. The data is collected in two different days. The data set consists of data of WLAN probes, Light sensor and Ground Truth, obtained by manual passenger counting. Aggregated data is presented (no data for individual passengers).
DOI: 10.5278/b27e5ae6-f5e8-411d-9fcf-a6617143a14d
title: Open source MATLAB implementation of MD_DSQ coder

description: This software provides an open source MATLAB implementation of the Multiple Description Delta Sigma Quantization Coder published in the paper: "Low Delay Robust Audio Coding by Noise Shaping, Fractional Sampling, and Source Prediction", Jan Østergaard. IEEE Data Compression Conference,
DOI: 10.15151/esrf-es-1106936762
title: XAS and XMCD studies of the low temperature magnetic and electronic properties of the Nickel Ferrite.

description: The Nickel Ferrite, which belongs to the inverse spinel family and presents strong similarities to the well-known Magnetite, is receiving much attention lately due to its recently observed multiferroic properties. Many questions remain concerning its structural, electronic and magnetic properties, especially at low temperature. Here we propose to perform XAS and XMCD measurements at both Fe and Ni K-edge and as function of the temperature. Our approach is to confront experimental data with FDMNES simulations, to reveal the local electronic structure and magnetic properties of each magnetic ions above and below an expected structural distortion, which could be at the origin of an ordered occupancy of the Ni2+ and Fe3+ ions, possibly responsible for the ferroelectricity recently observed at low temperature.
DOI: 10.5281/zenodo.6759492
title: Datasets and R source code of manuscript "From behaviour to complex communities: Resilience to anthropogenic noise in a fish-induced trophic cascade" by Emilie Rojas et al.

description: Datasets and R source code of manuscript "From behaviour to complex communities: Resilience to anthropogenic noise in a fish-induced trophic cascade" by Emilie Rojas et al.
description: The project was funded by the Université Jean Monnet – Saint-Etienne. MG's gratifications were funded by the Fondation pour la Recherche sur la Biodiversité (Appel Masters 2019). PF's stay on the PLANAQUA platform was funded by the AQUACOSM network (Transnational Access).
DOI: 10.5281/zenodo.6759215
title: Datasets and R source code of manuscript "From behaviour to complex communities: Resilience to anthropogenic noise in a fish-induced trophic cascade" by Emilie Rojas et al.

description: Datasets and R source code of manuscript "From behaviour to complex communities: Resilience to anthropogenic noise in a fish-induced trophic cascade" by Emilie Rojas et al.
description: The project was funded by the Université Jean Monnet – Saint-Etienne. MG's gratifications were funded by the Fondation pour la Recherche sur la Biodiversité (Appel Masters 2019). PF's stay on the PLANAQUA platform was funded by the AQUACOSM network (Transnational Access).
DOI: 10.5281/zenodo.6760791
title: Datasets and R source code of manuscript "From behaviour to complex communities: Resilience to anthropogenic noise in a fish-induced trophic cascade" by Emilie Rojas et al.

description: Datasets and R source code of manuscript "From behaviour to complex communities: Resilience to anthropogenic noise in a fish-induced trophic cascade" by Emilie Rojas et al.
description: The project was funded by the Université Jean Monnet – Saint-Etienne. MG's gratifications were funded by the Fondation pour la Recherche sur la Biodiversité (Appel Masters 2019). PF's stay on the PLANAQUA platform was funded by the AQUACOSM network (Transnational Access).
DOI: 10.5281/zenodo.7882664
title: Datasets and R source code of manuscript "From behaviour to complex communities: Resilience to anthropogenic noise in a fish-induced trophic cascade" by Emilie Rojas et al.

description: Datasets and R source code of manuscript "From behaviour to complex communities: Resilience to anthropogenic noise in a fish-induced trophic cascade" by Emilie Rojas et al.
description: The project was funded by the Université Jean Monnet – Saint-Etienne. MG's gratifications were funded by the Fondation pour la Recherche sur la Biodiversité (Appel Masters 2019). PF's stay on the PLANAQUA platform was funded by the AQUACOSM network (Transnational Access).
DOI: 10.5281/zenodo.7882544
title: Identificadores persistentes de contenido, institucionales y personales

description: Este documento forma parte de los datos de investigación de la tesis doctoral denominada <em>Modelo conceptual para el control bibliográfico universal</em>, presentada a la Universidad de Buenos Aires el día 12 de septiembre de 2022. Se describen los identificadores persistentes de contenido, institucionales y personales en base a sus características: definición y alcance, año de creación, administración, normativa, estructura y fuentes de consulta.
DOI: 10.5281/zenodo.7882545
title: Identificadores persistentes de contenido, institucionales y personales

description: Este documento forma parte de los datos de investigación de la tesis doctoral denominada <em>Modelo conceptual para el control bibliográfico universal</em>, presentada a la Universidad de Buenos Aires el día 12 de septiembre de 2022. Se describen los identificadores persistentes de contenido, institucionales y personales en base a sus características: definición y alcance, año de creación, administración, normativa, estructura y fuentes de consulta.
DOI: 10.5281/zenodo.7882674
title: Consumer perception survey of CSR, Serviceability, perceived quality, customer satisfaction, customer loyalty

description: We are pleased to be able to provide the data on which we have based our research studies.<br> We hope that it will contribute to many future studies and ensure the integrity of our research. Best regards,
DOI: 10.5281/zenodo.7882673
title: Consumer perception survey of CSR, Serviceability, perceived quality, customer satisfaction, customer loyalty

description: We are pleased to be able to provide the data on which we have based our research studies.<br> We hope that it will contribute to many future studies and ensure the integrity of our research. Best regards,
DOI: 10.6084/m9.figshare.20713750
title: Subject Data

description: Subject data containing: - Subject ID number - Working memory performance - Number of false alarms during WM task - Age - Education as measured by the Dutch Verhage scale - Tumor volume in mm<sup>3 </sup> - Diagnosis: LGG or HGG - Sex - Whether the subject was excluded from analyses relating to the left dlPFC due to coverage by tumor segmentation - Tumor hemisphere - Location variables for frontal, parietal, temporal, occipital and insular tumor location - Whether the patient used anti-epilleptic medicine (Levetiracetam) - Whether the patient's tumor was located in multiple lobes or bilaterally <br>
DOI: 10.6084/m9.figshare.20713750.v2
title: Subject Data

description: Subject data containing: - Subject ID number - Working memory performance - Number of false alarms during WM task - Age - Education as measured by the Dutch Verhage scale - Tumor volume in mm<sup>3 </sup> - Diagnosis: LGG or HGG - Sex - Whether the subject was excluded from analyses relating to the left dlPFC due to coverage by tumor segmentation - Tumor hemisphere - Location variables for frontal, parietal, temporal, occipital and insular tumor location <br>
DOI: 10.6084/m9.figshare.20713750.v3
title: Subject Data

description: Subject data containing: - Subject ID number - Working memory performance - Number of false alarms during WM task - Age - Education as measured by the Dutch Verhage scale - Tumor volume in mm<sup>3 </sup> - Diagnosis: LGG or HGG - Sex - Whether the subject was excluded from analyses relating to the left dlPFC due to coverage by tumor segmentation - Tumor hemisphere - Location variables for frontal, parietal, temporal, occipital and insular tumor location - Whether the patient used anti-epilleptic medicine (Levetiracetam) - Whether the patient's tumor was located in multiple lobes or bilaterally <br>
DOI: 10.6084/m9.figshare.22723904
title: Dataset used to assess healthcare workers' happiness, health, and motivation in Kenya (RNDKM).

description: The current dataset is on healthcare workers' (n=553) overall scores on happiness, health status, and motivation in all public and faith-based hospitals in Meru County, Kenya. The three questionnaires/instruments used for data collection were: Happiness: Reference: Peterson, C.; Park, N.; Seligman, M. Orientations to happiness and life satisfaction: the full life versus the empty life. Journal of Happiness Studies 2005, 6, 25-41, doi:http://dx.doi.org/10.1007/s10902-004-1278-z Health status: Reference: The EuroQol Group. EQ-5D Instruments. Availabe online: https://euroqol.org/eq-5d-instruments/ Motivation: Reference: Mbindyo, P.M.; Blaauw, D.; Gilson, L.; English, M. Developing a tool to measure health worker motivation in district hospitals in Kenya. Human Resources for Health 2009, 7, 40. Ethical approval to collect this data was from: The research ethics committee at the University of Pretoria, South Africa [718/2019]. The Institutional Review Board at the United States International University Africa, in Kenya [USIU-A/IRB/130-2020]. National research license was provided [901924] from the National Commission for Science, Technology and Innovation, Kenya. The Meru County Government Department of Health approved this study to be carried out in their county [CGM/COH/1/17(50)].