cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7535846
title: Narrowband Nolise Masking of High-Pass-Noise Derived ABR: Wave V amplitudes and latencies.

description: Study investigated effect of narrowband noise maskers on click-evoked high-pass noise/derived ABR responses. Amplitudes and Latencies are raw (uV and ms), NOT %amp or Lat-shift.
description: Data published: Stapells, D. R., & Fok, M. R. (2023). Derived-band auditory brainstem responses: Cochlear contributions determined by narrowband maskers. International Journal of Audiology, 1–9. https://doi.org/10.1080/14992027.2023.2227342
DOI: 10.5281/zenodo.7535845
title: Narrowband Nolise Masking of High-Pass-Noise Derived ABR: Wave V amplitudes and latencies.

description: Study investigated effect of narrowband noise maskers on click-evoked high-pass noise/derived ABR responses. Amplitudes and Latencies are raw (uV and ms), NOT %amp or Lat-shift.
description: Data published: Stapells, D. R., & Fok, M. R. (2023). Derived-band auditory brainstem responses: Cochlear contributions determined by narrowband maskers. International Journal of Audiology, 1–9. https://doi.org/10.1080/14992027.2023.2227342
DOI: 10.5281/zenodo.6793216
title: Numerical and experimental dataset for an air-cooled data center

description: This dataset contains the<em> </em><em>underling data</em><em> </em>for the papers: <em>M. Kuzay, A. Dogan, S. Yilmaz, O. Herkiloglu, A.S. Atalay, C. Yilmaz, E. Demirel, Retrofitting of an air-cooled data center for energy efficiency, Case Studies in Thermal Engineering (2022), 36, 102228. https://doi.org/10.1016/j.csite.2022.102228.</em> <em>M. Kuzay, A. Dogan, S. Yilmaz, O. Herkiloglu, A.S. Atalay, C. Yilmaz, E. Demirel, Numerical and experimental dataset for an air-cooled data center, </em><em>Data in Brief (2022).</em> All cases were prepared using OpenFOAM 8 for the simulation of flow and thermal structures inside the data center for both previous and retrofitted designs. <strong>data.tar.xz: </strong>Temperature data obtained from the experimental studies conducted for previous and retrofitted designs. <strong>experimentalScenarios.tar.xz: </strong>OpenFOAM files and scripts for the simulation of flow and thermal structures under the same thermal conditions as in the experimental studies for previous and retrofitted designs. <strong>fictiousScenarios.tar.xz: </strong>OpenFOAM files and scripts for the simulation of flow and thermal structures for a working scenario of 15.5 kW for previous and retrofitted designs. <strong>postProcess.tar.xz: </strong>Numerical results obtained from the validated numerical model.
DOI: 10.5281/zenodo.6793217
title: Numerical and experimental dataset for an air-cooled data center

description: This dataset contains the<em> </em><em>underling data</em><em> </em>for the papers: <em>M. Kuzay, A. Dogan, S. Yilmaz, O. Herkiloglu, A.S. Atalay, C. Yilmaz, E. Demirel, Retrofitting of an air-cooled data center for energy efficiency, Case Studies in Thermal Engineering (2022), 36, 102228. https://doi.org/10.1016/j.csite.2022.102228.</em> <em>M. Kuzay, A. Dogan, S. Yilmaz, O. Herkiloglu, A.S. Atalay, C. Yilmaz, E. Demirel, Numerical and experimental dataset for an air-cooled data center, </em><em>Data in Brief (2022).</em> All cases were prepared using OpenFOAM 8 for the simulation of flow and thermal structures inside the data center for both previous and retrofitted designs. <strong><strong>previousDesign.tar.xz:</strong> </strong>OpenFOAM files and scripts for the simulation of flow and thermal structures<strong> </strong>in the previous data center design. <strong>retrofitted</strong><strong>Design.tar.xz</strong><strong>: </strong>OpenFOAM files and scripts for the simulation of flow and thermal structures<strong> </strong>in the retrofitted data center design. <strong>experimentalScenarios.tar.xz: </strong>OpenFOAM files and scripts for the simulation of flow and thermal structures under the same thermal conditions as in the experimental studies. <strong>data.tar.xz: </strong>Temperature data obtained from the experimental studies conducted for previous and retrofitted designs.
DOI: 10.5281/zenodo.7035829
title: Numerical and experimental dataset for an air-cooled data center

description: This dataset contains the<em> </em><em>underling data</em><em> </em>for the papers: <em>M. Kuzay, A. Dogan, S. Yilmaz, O. Herkiloglu, A.S. Atalay, C. Yilmaz, E. Demirel, Retrofitting of an air-cooled data center for energy efficiency, Case Studies in Thermal Engineering (2022), 36, 102228. https://doi.org/10.1016/j.csite.2022.102228.</em> <em>M. Kuzay, A. Dogan, S. Yilmaz, O. Herkiloglu, A.S. Atalay, C. Yilmaz, E. Demirel, Numerical and experimental dataset for an air-cooled data center, </em><em>Data in Brief (2022).</em> All cases were prepared using OpenFOAM 8 for the simulation of flow and thermal structures inside the data center for both previous and retrofitted designs. <strong>data.tar.xz: </strong>Temperature data obtained from the experimental studies conducted for previous and retrofitted designs. <strong>experimentalScenarios.tar.xz: </strong>OpenFOAM files and scripts for the simulation of flow and thermal structures under the same thermal conditions as in the experimental studies for previous and retrofitted designs. <strong>fictiousScenarios.tar.xz: </strong>OpenFOAM files and scripts for the simulation of flow and thermal structures for a working scenario of 15.5 kW for previous and retrofitted designs. <strong>postProcess.tar.xz: </strong>Numerical results obtained from the validated numerical model.
DOI: 10.5281/zenodo.8110724
title: Immediate neural impact and incomplete compensation after semantic hub disconnection

description: Data repository for "Immediate neural impact and incomplete compensation after semantic hub disconnection" Abstract: The human brain extracts meaning using an extensive neural system for semantic knowledge. <br> Whether broadly distributed systems depend on or can compensate after losing a highly interconnected hub is controversial. <br> We report rare intracranial recordings from two patients during a speech prediction task, <br> obtained minutes before and after neurosurgical treatment requiring disconnection of the left anterior temporal lobe (ATL), <br> a candidate semantic knowledge hub. Informed by modern diaschisis and predictive coding frameworks, <br> we tested hypotheses ranging from solely neural network disruption to complete compensation by <br> the indirectly affected language-related and speech processing sites. Immediately after ATL disconnection, <br> we observed substantial neurophysiological alterations in the recorded frontal and auditory sites, <br> providing direct evidence for the importance of the ATL as a semantic hub. We also obtained evidence for rapid, albeit incomplete, <br> attempts at neural network compensation, with neural impact largely in the forms stipulated by the predictive coding framework, <br> in specificity, and the modern diaschisis framework, more generally. The overall results validate these frameworks and reveal <br> a remarkable immediate impact and capability of the human brain to adjust after losing a brain hub. In this dataset, you will be able to access the intracranial recordings from 2 subjects, <br> with the description of recording channels, along with event codes and times in ms. Both the raw data, <br> and the preprocessed (DBT denoised and SVD applied; matrix in times x channels format, 1000 Hz sampling rate) data are available. For further information, please consult the paper (currently in press, but will provide a DOI when available), <br> or email zsuzsanna-kocsis@uiowa.edu or zkocsis@andrew.cmu.edu<br>
DOI: 10.5281/zenodo.8110723
title: Immediate neural impact and incomplete compensation after semantic hub disconnection

description: Data repository for "Immediate neural impact and incomplete compensation after semantic hub disconnection" Abstract: The human brain extracts meaning using an extensive neural system for semantic knowledge. <br> Whether broadly distributed systems depend on or can compensate after losing a highly interconnected hub is controversial. <br> We report rare intracranial recordings from two patients during a speech prediction task, <br> obtained minutes before and after neurosurgical treatment requiring disconnection of the left anterior temporal lobe (ATL), <br> a candidate semantic knowledge hub. Informed by modern diaschisis and predictive coding frameworks, <br> we tested hypotheses ranging from solely neural network disruption to complete compensation by <br> the indirectly affected language-related and speech processing sites. Immediately after ATL disconnection, <br> we observed substantial neurophysiological alterations in the recorded frontal and auditory sites, <br> providing direct evidence for the importance of the ATL as a semantic hub. We also obtained evidence for rapid, albeit incomplete, <br> attempts at neural network compensation, with neural impact largely in the forms stipulated by the predictive coding framework, <br> in specificity, and the modern diaschisis framework, more generally. The overall results validate these frameworks and reveal <br> a remarkable immediate impact and capability of the human brain to adjust after losing a brain hub. In this dataset, you will be able to access the intracranial recordings from 2 subjects, <br> with the description of recording channels, along with event codes and times in ms. Both the raw data, <br> and the preprocessed (DBT denoised and SVD applied; matrix in times x channels format, 1000 Hz sampling rate) data are available. For further information, please consult the paper (currently in press, but will provide a DOI when available), <br> or email zsuzsanna-kocsis@uiowa.edu or zkocsis@andrew.cmu.edu<br>
DOI: 10.5281/zenodo.7500342
title: 2019 nitrogen-by-pH field manipulation experiment physiology dataset and code

description: Updated analyses, now only including <em>A. saccharum</em> in main analyses. Models including all species are now shuttled to the supplemental information (originally part of main analyses in v1.0). Updates included part of manuscript being submitted to <em>Functional Ecology</em>.
DOI: 10.5281/zenodo.8299010
title: 2019 nitrogen-by-pH field manipulation experiment physiology dataset and code

description: Updated analyses, now only including <em>A. saccharum</em> in main analyses. Models including all species are now shuttled to the supplemental information (originally part of main analyses in v1.0). Updates included part of manuscript being submitted to <em>Functional Ecology</em>.
DOI: 10.17909/v5c1-4563
title: The High-Energy Spectrum of Young Planet Host V1298 Tau

description: HST data contributing to a panchromatic spectral energy distribution of V1298 Tau assembled in a paper titled "The High-Energy Spectrum of Young Planet Host V1298 Tau" (Duvvuri et al, submitted to AJ in 2023). The SED will be hosted at the Exoplanet Archive as an ascii.ipac Astropy Table after paper acceptance.
DOI: 10.6084/m9.figshare.24052818
title: Maturation and culture affect the metabolomic profile of oocytes and follicular cells in young and old mares

description: Oocytes and follicular somatic cells within the ovarian follicle are altered during maturation and after exposure to culture in vitro. In the present study, we used a nontargeted metabolomics approach to assess changes in oocytes, cumulus cells, and granulosa cells from dominant, follicular-phase follicles in young and old mares. Samples were analyzed at three stages associated with oocyte maturation: (1) GV, germinal vesicle stage, prior to the induction of follicle/oocyte maturation in vivo; (2) MI, metaphase I, maturing, collected 24 hours after induction of maturation in vivo; and MIIC, metaphase II, mature with collection 24 hours after induction of maturation in vivo plus 18 hours of culture in vitro. Samples were only analyzed when all three stages of a cell type were obtained from the same mare. Samples were analyzed by gas and liquid chromatograph spectrometry and normalized. Significant differences in metabolite abundance were most often associated with MIIC, with some of the differences appearing to be linked to the final stage of maturation and others to exposure to culture medium. While differences occurred for many metabolite groups, some of the most notable were detected for energy and lipid metabolism and amino acid abundance. The study demonstrated that metabolomics has potential to aid in optimizing culture methods and evaluating cell culture additives to support differences in COCs associated with maternal factors, such as aging.
DOI: 10.6084/m9.figshare.24052818.v1
title: Equine metabolomic data during maturation and cell culture

description: Oocytes and follicular somatic cells within the ovarian follicle are altered during maturation and after exposure to culture in vitro. In the present study, we used a nontargeted metabolomics approach to assess changes in oocytes, cumulus cells, and granulosa cells from dominant, follicular-phase follicles in young and old mares. Samples were analyzed at three stages associated with oocyte maturation: (1) GV, germinal vesicle stage, prior to the induction of follicle/oocyte maturation in vivo; (2) MI, metaphase I, maturing, collected 24 hours after induction of maturation in vivo; and MIIC, metaphase II, mature with collection 24 hours after induction of maturation in vivo plus 18 hours of culture in vitro. Samples were only analyzed when all three stages of a cell type were obtained from the same mare. Samples were analyzed by gas and liquid chromatograph spectrometry and normalized. Significant differences in metabolite abundance were most often associated with MIIC, with some of the differences appearing to be linked to the final stage of maturation and others to exposure to culture medium. While differences occurred for many metabolite groups, some of the most notable were detected for energy and lipid metabolism and amino acid abundance. The study demonstrated that metabolomics has potential to aid in optimizing culture methods and evaluating cell culture additives to support differences in COCs associated with maternal factors, such as aging.
DOI: 10.6084/m9.figshare.24052818.v2
title: Maturation and culture affect the metabolomic profile of oocytes and follicular cells in young and old mares

description: Oocytes and follicular somatic cells within the ovarian follicle are altered during maturation and after exposure to culture in vitro. In the present study, we used a nontargeted metabolomics approach to assess changes in oocytes, cumulus cells, and granulosa cells from dominant, follicular-phase follicles in young and old mares. Samples were analyzed at three stages associated with oocyte maturation: (1) GV, germinal vesicle stage, prior to the induction of follicle/oocyte maturation in vivo; (2) MI, metaphase I, maturing, collected 24 hours after induction of maturation in vivo; and MIIC, metaphase II, mature with collection 24 hours after induction of maturation in vivo plus 18 hours of culture in vitro. Samples were only analyzed when all three stages of a cell type were obtained from the same mare. Samples were analyzed by gas and liquid chromatograph spectrometry and normalized. Significant differences in metabolite abundance were most often associated with MIIC, with some of the differences appearing to be linked to the final stage of maturation and others to exposure to culture medium. While differences occurred for many metabolite groups, some of the most notable were detected for energy and lipid metabolism and amino acid abundance. The study demonstrated that metabolomics has potential to aid in optimizing culture methods and evaluating cell culture additives to support differences in COCs associated with maternal factors, such as aging.
DOI: 10.13020/4abm-5t36
title: Minnesota Green Book Locations, 1939-1967

description: During the Jim Crow era, many businesses in the United States refused to serve African-Americans and other individuals of color. While an increasing number of black households owned a car during this period, travelers faced inconvenience, discrimination, and danger along the road. "The Negro Motorist Green Book" (Green Book), published by Victor H. Green and Alma Green between the 1936 and 1967, compiled a list of businesses that welcomed African-Americans. Understanding where the Green Book businesses were located provides context for later urban changes, such as the construction of freeways.
description: The spreadsheet has one row for each business per year it appeared in the Green Book. If a business was included in the Green Book listing for multiple years, it will appear in the spreadsheet multiple times.
DOI: 10.5281/zenodo.8286515
title: Spatial Data collection for study spatial transition dynamic of Rohingya settlement in Bangladesh: 1st version

description: Full open access article can be found in: https://doi.org/10.1016/j.landusepol.2023.106874 <strong>Full Changelog</strong>: https://github.com/ssujit/SpatialTransitionDynamic/commits/version
DOI: 10.5281/zenodo.8286514
title: Spatial Data collection for study spatial transition dynamic of Rohingya settlement in Bangladesh: 1st version

description: Full open access article can be found in: https://doi.org/10.1016/j.landusepol.2023.106874 <strong>Full Changelog</strong>: https://github.com/ssujit/SpatialTransitionDynamic/commits/version
DOI: 10.6084/m9.figshare.22811900.v1
title: Physiological measurements

description: Description The data are included into an Excel spreadsheet. <br> The "Heat exposure" sheet contains data collected at the "Pre-acclimation visit" and "Post-acclimation visit", and "Normothermic" and "Hyperthermic" measurements are reported. The following variables are available. <strong>Tcore:</strong> core temperature <strong>Tskin:</strong> skin temperature <strong>Tbody:</strong> body temperature <strong>LSR:</strong> local sweat rate <strong>CVC:</strong> cutaneous vascular conductance <strong>HR:</strong> heart rate <strong>SBP:</strong> systolic blood pressure <strong>DBP:</strong> diastolic blood pressure <strong>MBP:</strong> mean arterial blood pressure <strong>SSNA:</strong> skin sympathetic nerve activity
DOI: 10.7944/p9u67lqx
title: Audibility dataset for Optimizing Detection of the Bobwhite Reproduction Call Using Passive Acoustic Monitoring
DOI: 10.7944/p955kple
title: Decibel dataset for Optimizing Detection of the Bobwhite Reproduction Call Using Passive Acoustic Monitoring
DOI: 10.6084/m9.figshare.23736820
title: Federated Multi-Output Gaussian Processes

description: Multi-output Gaussian process (MGP) regression plays an important role in the integrative analysis of different but interrelated systems/units. Existing MGP approaches assume that data from all units is collected and stored at a central location. This requires massive computing and storage power at the central location, induces significant communication traffic due to raw data exchange, and comprises privacy of units. However, recent advances in Internet of Things technologies, which have tremendously increased edge computing power, pose a significant opportunity to address such challenges. In this article, we propose FedMGP, a general federated analytics (FA) framework to learn an MGP in a decentralized manner that uses edge computing power to distribute model learning efforts. Specifically, we propose a hierarchical modeling approach where an MGP is built upon shared global latent functions. We then develop a variational inference FA algorithm that overcomes the need to share raw data. Instead, collaborative learning is achieved by only sharing global latent function statistics. Comprehensive simulation studies and a case study on battery degradation data highlight the superior predictive performance and versatility of FedMGP, achieved while distributing computing and storage demands, reducing communication burden, fostering privacy, and personalizing analysis.
DOI: 10.6084/m9.figshare.23736820.v2
title: Federated Multi-Output Gaussian Processes

description: Multi-output Gaussian process (MGP) regression plays an important role in the integrative analysis of different but interrelated systems/units. Existing MGP approaches assume that data from all units is collected and stored at a central location. This requires massive computing and storage power at the central location, induces significant communication traffic due to raw data exchange, and comprises privacy of units. However, recent advances in Internet of Things technologies, which have tremendously increased edge computing power, pose a significant opportunity to address such challenges. In this article, we propose FedMGP, a general federated analytics (FA) framework to learn an MGP in a decentralized manner that uses edge computing power to distribute model learning efforts. Specifically, we propose a hierarchical modeling approach where an MGP is built upon shared global latent functions. We then develop a variational inference FA algorithm that overcomes the need to share raw data. Instead, collaborative learning is achieved by only sharing global latent function statistics. Comprehensive simulation studies and a case study on battery degradation data highlight the superior predictive performance and versatility of FedMGP, achieved while distributing computing and storage demands, reducing communication burden, fostering privacy, and personalizing analysis.
DOI: 10.6084/m9.figshare.23736820.v1
title: Federated Multi-output Gaussian Processes

description: Multi-output Gaussian process (MGP) regression plays an important role in the integrative analysis of different but interrelated systems/units. Existing MGP approaches assume that data from all units is collected and stored at a central location. This requires massive computing and storage power at the central location, induces significant communication traffic due to raw data exchange, and comprises privacy of units. However, recent advances in Internet of Things technologies, which have tremendously increased edge computing power, pose a significant opportunity to address such challenges. In this paper, we propose FedMGP, a general federated analytics (FA) framework to learn an MGP in a decentralized manner that utilizes edge computing power to distribute model learning efforts. Specifically, we propose a hierarchical modeling approach where an MGP is built upon shared global latent functions. We then develop a variational inference FA algorithm that overcomes the need to share raw data. Instead, collaborative learning is achieved by only sharing global latent function statistics. Comprehensive simulation studies and the case study on battery degradation data highlight the superior predictive performance and versatility of FedMGP, achieved while distributing computing and storage demands, reducing communication burden, fostering privacy, and personalizing analysis.
DOI: 10.5281/zenodo.8299393
title: X-band 3D Radar Cross Section Values for Desert Locusts

description: Radar Cross Section values simulated using WiPL-D Pro Electromagnetic Solver at X-band (9.4GHz) frequency. Naming convention: [species_name]_[internal_material]_[geometry]_[body_length]_[body_width]_[along_body_RCS_x1000]_[across_body_RCS_x1000]_[model_mass_x1000]_[resolution]. Internal material: water or BBG (AKA NelsonLGB). Geometry refers to model dimension. Body length, and width are in millimetres. RCS values are in cm<sup>2</sup>. Model mass is grams. Resolution refers to the number of plates used in WiPL-d Pro to create the model.
DOI: 10.5281/zenodo.8299394
title: X-band 3D Radar Cross Section Values for Desert Locusts

description: Radar Cross Section values simulated using WiPL-D Pro Electromagnetic Solver at X-band (9.4GHz) frequency. Naming convention: [species_name]_[internal_material]_[geometry]_[body_length]_[body_width]_[along_body_RCS_x1000]_[across_body_RCS_x1000]_[model_mass_x1000]_[resolution]. Internal material: water or BBG (AKA NelsonLGB). Geometry refers to model dimension. Body length, and width are in millimetres. RCS values are in cm<sup>2</sup>. Model mass is grams. Resolution refers to the number of plates used in WiPL-d Pro to create the model.