cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24492599.v1
title: Leisure and social occupational choice within nursing home facilities in Ireland: Residents perspectives

description: National standards for nursing homes in Ireland require that residents are offered a choice of recreational and stimulating activities to meet their needs and preferences. To investigate residents’ perceptions of leisure and social occupational choice in nursing homes in Ireland to determine if occupational choice is facilitated. Qualitative-descriptive design – nursing home residents completed two semi-structured interviews that explored their experiences of leisure and social occupational engagement. Two overarching themes with six associated sub-themes emerged. From residents’ perspectives, social and leisure occupational choice was dependent on: Environmental factors (nursing homes’ Cultural, Social, Physical, and Temporal Environments) and Personal factors (residents’ Health Status and Personal Attitudes). The cultural environment had the most significant influence on residents’ leisure and social occupational choice, highlighting the importance of person-centred care within nursing homes, to promote occupational choice. Resident’s health status was also identified as a contributing factor. Occupational therapists could play a critical role in supporting the leisure and social occupational choices of nursing home residents by developing residents’ skills, educating staff and adapting tasks and the environment to limit/reduce occupational deprivation.
DOI: 10.6084/m9.figshare.24142988.v1
title: Iteratively Reweighted Least Squares Method for Estimating Polyserial and Polychoric Correlation Coefficients

description: An iteratively reweighted least squares (IRLS) method is proposed for the estimation of polyserial and polychoric correlation coefficients in this paper. It calculates the slopes in a series of weighted linear regression models fitting on conditional expected values. For polyserial correlation, conditional expectations of the latent predictor is derived from the observed ordinal categorical variable, and the regression coefficient is obtained with the weighted least squares method. In estimating polychoric correlation coefficient, conditional expectations of the response variable and the predictor are updated in turns. Standard errors of the estimators are obtained using the delta method based on data summaries instead of the whole data. Conditional univariate normal distribution is exploited and a single integral is numerically evaluated in the proposed algorithm, comparing to the double integral computed numerically based on the bivariate normal distribution in the traditional maximum likelihood (ML) approaches. This renders the new algorithm very fast in the estimation of both polyserial and polychoric correlation coefficients. Thorough simulation studies are conducted to compare the performances of the proposed method with the classical ML methods. Real data analyses illustrate the advantage of the new method in computing speed.
DOI: 10.5517/ccdc.csd.cc29jdt2
title: CCDC 2130934: Experimental Crystal Structure Determination

description: Related Article: Takahiro Kusukawa|2023|CSD Communication|||
description: Related Article: Takahiro Kusukawa, Seiji Shibata, Fumihiro Kannen, Kenji Yoza|2022|Tetrahedron|111|132735|doi:10.1016/j.tet.2022.132735
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29jdv3
title: CCDC 2130935: Experimental Crystal Structure Determination

description: Related Article: Takahiro Kusukawa|2023|CSD Communication|||
description: Related Article: Takahiro Kusukawa, Seiji Shibata, Fumihiro Kannen, Kenji Yoza|2022|Tetrahedron|111|132735|doi:10.1016/j.tet.2022.132735
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29jdw4
title: CCDC 2130936: Experimental Crystal Structure Determination

description: Related Article: Takahiro Kusukawa|2023|CSD Communication|||
description: Related Article: Takahiro Kusukawa, Seiji Shibata, Fumihiro Kannen, Kenji Yoza|2022|Tetrahedron|111|132735|doi:10.1016/j.tet.2022.132735
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29jdx5
title: CCDC 2130937: Experimental Crystal Structure Determination

description: Related Article: Takahiro Kusukawa|2023|CSD Communication|||
description: Related Article: Takahiro Kusukawa, Seiji Shibata, Fumihiro Kannen, Kenji Yoza|2022|Tetrahedron|111|132735|doi:10.1016/j.tet.2022.132735
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29jdy6
title: CCDC 2130938: Experimental Crystal Structure Determination

description: Related Article: Takahiro Kusukawa|2023|CSD Communication|||
description: Related Article: Takahiro Kusukawa, Seiji Shibata, Fumihiro Kannen, Kenji Yoza|2022|Tetrahedron|111|132735|doi:10.1016/j.tet.2022.132735
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29jdz7
title: CCDC 2130939: Experimental Crystal Structure Determination

description: Related Article: Takahiro Kusukawa|2023|CSD Communication|||
description: Related Article: Takahiro Kusukawa, Seiji Shibata, Fumihiro Kannen, Kenji Yoza|2022|Tetrahedron|111|132735|doi:10.1016/j.tet.2022.132735
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29jf09
title: CCDC 2130940: Experimental Crystal Structure Determination

description: Related Article: Takahiro Kusukawa|2023|CSD Communication|||
description: Related Article: Takahiro Kusukawa, Seiji Shibata, Fumihiro Kannen, Kenji Yoza|2022|Tetrahedron|111|132735|doi:10.1016/j.tet.2022.132735
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29jf1b
title: CCDC 2130941: Experimental Crystal Structure Determination

description: Related Article: Takahiro Kusukawa|2023|CSD Communication|||
description: Related Article: Takahiro Kusukawa, Seiji Shibata, Fumihiro Kannen, Kenji Yoza|2022|Tetrahedron|111|132735|doi:10.1016/j.tet.2022.132735
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34943/dc8c2420-5fec-4982-9593-31a232ab664d
title: Bullseye Broadband Seismometer Deployed 2009-09-17

description: The Guralp CMG-IT Broadband Seismometer 2217 was deployed on 2009-09-17 at Bullseye. Bullseye is a location at Clayoquot Slope, where gas hydrates, seafloor cold seeps, and hydrate dynamics are observed. This device is a Broadband Seismometer. Broadband Seismometers measure seismic waves over a broad frequency range depending on the device (e.g. 0.00278 Hz - 250 Hz). A broadband seismometer facilitates measurement of seismic events in the widest frequency band possible. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34740/kaggle/dsv/6913015
title: Student Performance Dataset
DOI: 10.34740/kaggle/dsv/6913049
title: Student Performance Dataset
DOI: 10.34943/4fa659fd-cddb-4a8c-928a-f2e840cfa726
title: Cambridge Bay Hydrophone Deployed 2021-09-15

description: The Ocean Sonics icListen HF Hydrophone 1561 was deployed on 2021-09-15 at Cambridge Bay. Cambridge Bay is located on Victoria Island in the Kitikmeot Region of Nunavut, Canada. This device is a Hydrophone. Hydrophones are devices containing transducers that convert underwater sound waves into electrical signals. They are acoustic instruments that can process data while they are being collected to produce calibrated waveform data. Hydrophones are typically used to study vocalizations of marine mammals, ship traffic and ambient noise. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/4fbe7f57-5468-4ece-a24d-d10f5ef815e3
title: Cambridge Bay Hydrophone Deployed 2022-09-12

description: The Ocean Sonics icListen HF Hydrophone 1561 was deployed on 2022-09-12 at Cambridge Bay. Cambridge Bay is located on Victoria Island in the Kitikmeot Region of Nunavut, Canada. This device is a Hydrophone. Hydrophones are devices containing transducers that convert underwater sound waves into electrical signals. They are acoustic instruments that can process data while they are being collected to produce calibrated waveform data. Hydrophones are typically used to study vocalizations of marine mammals, ship traffic and ambient noise. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5281/zenodo.10079891
title: Factors influencing space-use and kill distribution of sympatric lion prides in a semi-arid savanna landscape

description: In this study, Global Positioning System collar data and logistic regression were used to investigate space-use and kill distribution among three lion prides at Malilangwe Wildlife Reserve, Zimbabwe. The R statistical platform was used to perform logistic regression analysis to determine the effects of the environmental variables on the outcome of each pride's ranging behaviour. Presence/Kill probability (presence or absence) was used as a response variable while distance to water, shrub canopy volume, soil depth and clay content were treated as fixed effects.
DOI: 10.5281/zenodo.10079892
title: Factors influencing space-use and kill distribution of sympatric lion prides in a semi-arid savanna landscape

description: In this study, Global Positioning System collar data and logistic regression were used to investigate space-use and kill distribution among three lion prides at Malilangwe Wildlife Reserve, Zimbabwe. The R statistical platform was used to perform logistic regression analysis to determine the effects of the environmental variables on the outcome of each pride's ranging behaviour. Presence/Kill probability (presence or absence) was used as a response variable while distance to water, shrub canopy volume, soil depth and clay content were treated as fixed effects.
DOI: 10.5281/zenodo.10079900
title: Compositional Characterization of Glassy Volcanic Material From VNIR and MIR Spectra Using Partial Least Squares Regression Models

description: This is supporting data for the paper titled "Compositional Characterization of Glassy Volcanic Material From VNIR and MIR Spectra Using Partial Least Squares Regression Models" by Leight et al. (submitted to JGR-P 11/23). Table S1 lists each spectrum used to train PLS models, its source, and which training datasets the spectrum was included in. Zip files contain the MIR and VNIR PLS model files. Model files are .asc, and can be run using the code at Ytsma, (2022), https://doi.org/10.5281/zenodo.7347345.
DOI: 10.5281/zenodo.10079899
title: Compositional Characterization of Glassy Volcanic Material From VNIR and MIR Spectra Using Partial Least Squares Regression Models

description: This is supporting data for the paper titled "Compositional Characterization of Glassy Volcanic Material From VNIR and MIR Spectra Using Partial Least Squares Regression Models" by Leight et al. (submitted to JGR-P 11/23). Table S1 lists each spectrum used to train PLS models, its source, and which training datasets the spectrum was included in. Zip files contain the MIR and VNIR PLS model files. Model files are .asc, and can be run using the code at Ytsma, (2022), https://doi.org/10.5281/zenodo.7347345.
DOI: 10.6084/m9.figshare.23897040.v1
title: Code and data

description: Code and data to reproduce figures in "Dissociable Components of Attention Exhibit Distinct Neuronal Signatures in Primate Visual Cortex"
DOI: 10.6084/m9.figshare.24520528
title: Impact of body image on the kinematics of gait initiation

description: In our daily lives, we walk naturally because we can consider our physical characteristics and formulate appropriate motor plans. However, the impact of changes in body image during motor planning on walking movements remains poorly understood. Therefore, in this study, we investigated how walking movements change when body image is altered. We included 26 participants (13 males, 13 females, aged 18.27±0.52) to perform walking movements under five conditions: open eyes (baseline), closed eyes, closed eyes while imagining their bodies becoming large, closed eyes again, and open eyes again. As a result, under the condition where participants imagined their bodies becoming large, their stride length, step completion time, and foot lift height increased. These results are attributed to the disparity between actual body size and body image, which affects motor planning. The results of this study have potential applications in rehabilitation and sports coaching settings.
DOI: 10.5281/zenodo.10075383
title: STREAM - Sub-THz Radar sensing of the Environment for future Autonomous Marine platforms: RLG Dataset Coniston A

description: This dataset contains the files corresponding to which results have been included in the journal paper. The full descirption of conducted trials and data structure is mentioned in the attached pdf document.
STREAM trials were conducted by the University of Birmingham (UoB) and the University of St. Andrews from 29/08/2022 - 02/09/2022 at Coniston Lake in the UK. The primary aim was to gather propagation data across lakes and measure the returns from the lake surface. The data will be used to develop algorithms to extract the information needed for pilotage.
The experiments were performed with radars operating in the 79, 150, and 300 GHz bands to investigate the Doppler and imaging capabilities of these radars.
This report describes the measurement scenarios and data structure of INRAS Radarlog (76 GHz – 81 GHz) used for data collection campaign.
Contact: a.a.a.pirkani@bham.ac.uk or m.s.gashinova@bham.ac.uk
DOI: 10.5281/zenodo.10075384
title: STREAM - Sub-THz Radar sensing of the Environment for future Autonomous Marine platforms: RLG Dataset Coniston A

description: This dataset contains the files corresponding to which results have been included in the journal paper. The full descirption of conducted trials and data structure is mentioned in the attached pdf document.
STREAM trials were conducted by the University of Birmingham (UoB) and the University of St. Andrews from 29/08/2022 - 02/09/2022 at Coniston Lake in the UK. The primary aim was to gather propagation data across lakes and measure the returns from the lake surface. The data will be used to develop algorithms to extract the information needed for pilotage.
The experiments were performed with radars operating in the 79, 150, and 300 GHz bands to investigate the Doppler and imaging capabilities of these radars.
This report describes the measurement scenarios and data structure of INRAS Radarlog (76 GHz – 81 GHz) used for data collection campaign.
Contact: a.a.a.pirkani@bham.ac.uk or m.s.gashinova@bham.ac.uk
DOI: 10.21429/nycn-5j82
title: FiCli: Fish and Climate Change Database (2020 Update)

description: Inland fishes provide important ecosystem services to communities worldwide and are especially vulnerable to the impacts of climate change. Fish respond to climate change in diverse and nuanced ways which creates challenges for practitioners of fish conservation, climate change adaptation, and management. Although climate change is known to affect fish globally, a comprehensive online, public database of how climate change has impacted inland fishes worldwide and adaptation or management practices that may address these impacts does not exist. We conducted an extensive, systematic primary literature review to identify peer-reviewed journal publications describing projected and documented examples of climate change impacts on inland fishes. From this standardized Fish and Climate Change database, FiCli, researchers and managers can query fish families, species, response types, or geographic locations to obtain summary information on inland fish responses to climate change and recommended management actions. The FiCli provides access to comprehensive published information to inform inland fish conservation and adaptation planning in a changing climate.
DOI: 10.5281/zenodo.10080350
title: Impact of chronic psychological stress on platelet membrane fatty acid composition in type 1 diabetes mellitus
DOI: 10.5281/zenodo.10080349
title: Impact of chronic psychological stress on platelet membrane fatty acid composition in type 1 diabetes mellitus
DOI: 10.34740/kaggle/dsv/6913304
title: Balochi Language to English Translation Dataset
DOI: 10.6084/m9.figshare.23519433
title: Supporting Information - Trait data

description: This dataset corresponds to the original/raw trait data set used in the article It takes a village to grow a tree: most tree species benefit from dissimilar neighbors. The data set include 7 columns: (1) species (sp), (2) genus, (3) trait, (4) standardized trait value (StdValue), (5) trait unit (traitUnit), (6) reference, and (7) short reference. The traits are wood density (WD), seed mass (SM), leaf nitrogen content per dry leaf mass (Nmass), fine root diameter (RD) and specific root length (SRL). <br> References: Belluau, Michael; Bouchard, Élise; Déziel, Mégane; Mordacq, Orane; Messier, Christian; Paquette, Alain (2021). Tree Functional Trait Application Project v1. figshare. Dataset. https://doi.org/10.6084/m9.figshare.14039504.v2 Guerrero‐Ramírez, N. R., Mommer, L., Freschet, G. T., Iversen, C. M., McCormack, M. L., Kattge, J., ... & Weigelt, A. (2021). Global root traits (GRooT) database. <em>Global Ecology and Biogeography</em>, <em>30</em>(1), 25-37.
DOI: 10.57967/hf/1331
title: DoxygenStrings-Short
DOI: 10.5519/qd.pcp6vk21
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (57 records)
DOI: 10.6084/m9.figshare.21312117
title: Statistics for Pittman et al, Phys Rep, 2023, 11, e15849

description: Output of statistical testing from SPSS 28 for Pittman, L. A., Whittaker, P., Milne, M. L., & Chung, C. S. (2023). Collagenase treatment reduces the anisotropy of ultrasonic backscatter in rat myocardium by reducing collagen crosslinks. <i>Physiological Reports</i>, 11, e15849. https://doi.org/10.14814/phy2.15849<br>
DOI: 10.3886/e193348
title: “¡Míranos! Look at Us, We Are Healthy!” – an early childhood obesity prevention program

description: Data from a clustered randomized controlled trial of 12 Head Start Centers in San Antonio, Texas: <b>!Míranos! Look at Us, We Are Healthy! (¡Míranos!</b>)<br>The prevalence of obesity remains high in American children aged 2-5 while one in three Head Start children is overweight or obese. The !Míranos! study was designed to test the efficacy of !Míranos!, an early childhood obesity prevention program, which promoted healthy growth in predominantly Latino children in Head Start. The Míranos! included center-based (policy changes, staff development, gross motor program, and nutrition education) and home-based (parent engagement/ education and home visits) interventions to address key enablers and barriers in obesity prevention in young children. In partnership with Head Start, the study team demonstrated the feasibility and acceptability of the proposed interventions to influence energy-balance-related behaviors favorably in Head Start children. Using a three-arm cluster randomized design, 21 Head Start centers in equal numbers wiere randomly assigned to one of three conditions: 1) a combined center- and home-based intervention, 2) center-based intervention only, or 3) control. The interventions were delivered during the academic year (an 8-month period). A total of 526 3-year-old children were enrolled in the study and followed prospectively one year post-intervention. Outcome data collection was conducted at baseline, immediate post-intervention, and 1-year follow-up and included height, weight, physical activity (PA), and sedentary behaviors by accelerometry, parent reports of sleep duration and TV watching time, gross motor development, dietary intakes, and food and activity preferences. Information on family background, parental weight, PA- and nutrition-related practices and behaviors, PA and nutrition policy and environment at center and home, intervention program costs, and treatment fidelity will also be collected. The study had three specific aims: 1) to test the efficacy of the !Míranos! intervention on healthy weight growth (primary outcome) in normal weight, overweight and obese children, 2) to test the impact of the !Míranos! intervention on children’s PA, sedentary behavior, sleep, and dietary behaviors (secondary outcomes), and 3) to evaluate the cost-effectiveness of the !Míranos! intervention. By targeting different levels of influence and in multiple settings, the !Míranos! showed great promise of developing long-term health habits that reduce the energy imbalance gap by targeting multiple energy-balance-related behaviors. The !Míranos! can be disseminated to various organized childcare settings since it is built on the Head Start program and its infrastructure—a gold standard in early childhood education, as well as current PA and nutrition recommendations for preschool children.<br>