cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/rhmz-7c39
title: Dataset for Paper "An Embedded Deep Learning NILM System A Year-long Field Study in Real Houses"

description: This dataset contains electrical measurements collected in the context of the paper "An Embedded Deep Learning NILM System: A Year-long Field Study in Real Houses".Nonintrusive load monitoring (NILM) systems are used to identify the energy consumption patterns of individual devices in an electrical system, but broadening their market availability is a significant challenge. In this paper, a NILM system using edge processing is proposed, in which energy consumption data are processed directly on the device installed at the monitored facility. Specifically, it uses a sequence-to-point approach based on a convolutional neural network  implemented on an Arm Cortex-M7 microcontroller. This paper also reports the results of an extensive testing phase. The NILM system was installed in two real houses in central Italy to evaluate its installation and potential application in real-world scenarios. This study presents a promising solution that enables the widespread adoption of NILM systems by reducing their implementation cost and complexity and addresses the privacy concerns associated with cloud-based data processing. The results of our real-world testing provide compelling evidence of the potential of the proposed NILM system in various applications, including smart homes, building automation, and industrial energy management.
DOI: 10.5519/qd.mjwvz3r9
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (24 records)
DOI: 10.25625/ixcgwz/pps2bl
title: HF3_pointcloud.laz

description: for plot HF3: 3D point cloud of the plot
DOI: 10.25625/ixcgwz/pxgupi
title: HF1_pointcloud.laz

description: for plot HF1: 3D point cloud of the plot
DOI: 10.25625/ixcgwz/accuw3
title: HF2_pointcloud.laz

description: for plot HF2: 3D point cloud of the plot
DOI: 10.25625/ixcgwz/k2qndc
title: HF4_pointcloud.laz

description: for plot HF4: 3D point cloud of the plot
DOI: 10.25625/ixcgwz/heg3of
title: RGB_ortho_HF1.tif

description: RGB orthomosaic of plot HF1
DOI: 10.25625/ixcgwz/sdonie
title: RGB_ortho_HF2.tif

description: RGB orthomosaic of plot HF2
DOI: 10.25625/ixcgwz/se1tpw
title: RGB_ortho_HF4.tif

description: RGB orthomosaic of plot HF4
DOI: 10.25625/ixcgwz/lgypda
title: HF4_ed17_modified.tif.aux.xml

description: for plot HF4: evapotranspiration orthomosaic as produced by QWaterModel (supporting data, xml)
DOI: 10.25625/ixcgwz/vvwuyp
title: RGB_ortho_HF3.tif

description: RGB orthomosaic of plot HF3
DOI: 10.25625/ixcgwz/cj7gnw
title: HF1_ed17_modified.tif.points

description: for plot HF1: evapotranspiration orthomosaic as produced by QWaterModel (supporting data, points)
DOI: 10.25625/ixcgwz/6renea
title: HF1_ed17_modified.tif.aux.xml

description: for plot HF1: evapotranspiration orthomosaic as produced by QWaterModel (supporting data, xml)
DOI: 10.25625/ixcgwz/ita3tj
title: HF2_ed17_modified.tif

description: for plot HF2: evapotranspiration orthomosaic as produced by QWaterModel
DOI: 10.25625/ixcgwz/9azkiz
title: HF2_ed17_modified.tif.points

description: for plot HF2: evapotranspiration orthomosaic as produced by QWaterModel (supporting data, points)
DOI: 10.25625/ixcgwz/saexdc
title: HF4_ed17_modified.tif

description: for plot HF4: evapotranspiration orthomosaic as produced by QWaterModel
DOI: 10.25625/ixcgwz/hgw50q
title: HF3_ed17_modified.tif

description: for plot HF3: evapotranspiration orthomosaic as produced by QWaterModel
DOI: 10.25625/ixcgwz/eegxdg
title: HF4_ed17_modified.tif.points

description: for plot HF4: evapotranspiration orthomosaic as produced by QWaterModel (supporting data, points)
DOI: 10.25625/ixcgwz/tw7z0i
title: HF1_ed17_modified.tif

description: for plot HF1: evapotranspiration orthomosaic as produced by QWaterModel
DOI: 10.25625/ixcgwz/eglumv
title: HF3_ed17_modified.tif.points

description: for plot HF3: evapotranspiration orthomosaic as produced by QWaterModel (supporting data, points)
DOI: 10.25625/ixcgwz/jju98w
title: HF2_ed17_modified.tif.aux.xml

description: for plot HF2: evapotranspiration orthomosaic as produced by QWaterModel (supporting data, xml)
DOI: 10.25625/ixcgwz/n6n6mf
title: Rcode_plot_HF2.R

description: R code for the analysis of plot HF2 data
DOI: 10.25625/ixcgwz/vupj9r
title: Rcode_plot_HF1.R

description: R code for the analysis of plot HF1 data
DOI: 10.25625/ixcgwz/vecuel
title: Rcode_plot_HF3.R

description: R code for the analysis of plot HF3 data
DOI: 10.25625/ixcgwz/fvd0bt
title: Rcode_plot_HF4.R

description: R code for the analysis of plot HF4 data
DOI: 10.25625/ixcgwz
title: Small-scale evapotranspiration patterns in a tropical rainforest

description: These data support the finding of the study "Combining UAV thermography, point cloud analysis and machine learning for assessing small-scale evapotranspiration patterns in a tropical rainforest".
DOI: 10.5281/zenodo.7909377
title: An Evaluation Framework for Mapping News Headlines to Event Classes in a Knowledge Graph

description: News headline to event classes corpus derived from Wikidata. Github: https://github.com/mbouadeus/news-headline-event-linking
DOI: 10.5281/zenodo.7909376
title: An Evaluation Framework for Mapping News Headlines to Event Classes in a Knowledge Graph

description: News headline to event classes corpus derived from Wikidata. Github: https://github.com/mbouadeus/news-headline-event-linking
DOI: 10.17909/2q9q-mw78
title: Data from JD1 paper

description: JWST NIRspec and NIRCam data for MACS1149-JD1
DOI: 10.6084/m9.figshare.22263083
title: Overexpressed RBPMS-AS1 increased cell radiosensitivity by sponging miR-19a-3p in lung cancer cell lines (A549 and SK-MES-1) via regulating PTEN/AKT axis

description: This paper intended to study RBPMS-AS1 in lung cancer (LC) radiosensitivity. LC cells were transfected with RBPMS-AS1 overexpression plasmid and miR-19a-3p mimic and treated with radiation. PTEN, AKT, p-AKT, RBPMS-AS1, and miR-19a-3p expressions were detected via Western blot and qRT-PCR. The localization of RBPMS-AS1 in cells was determined through fluorescence in situ hybridization assay. The targeting relationships of RBPMS-AS1 and miR-19a-3p/miR-19a-3p and PTEN were determined through RIP and dual luciferase reporter analysis. Cell survival, viability, and apoptosis were assessed through colony formation, CCK-8, and flow-cytometry assays. RBPMS-AS1 was downregulated in LC and mainly distributed in cytoplasm. RBPMS-AS1 targeted miR-19a-3p in LC cells. Radiation suppressed LC cell survival, viability, and induced apoptosis, as overexpressed RBPMS-AS1 performed the similar effects and enhanced those effects induced by radiation. MiR-19a-3p mimic reversed the effect of overexpressed RBPMS-AS1 on enhancing radiation-induced LC cell apoptosis. MiR-19a-3p targeted PTEN and miR-19a-3p mimic reversed the effect of overexpressed RBPMS-AS1 on PTEN and phosphorylation of AKT in LC cells. Overexpressed RBPMS-AS1 sponged miR-19a-3p to increase cell radiosensitivity in LC via regulating PTEN/AKT axis.
DOI: 10.6084/m9.figshare.20502942
title: Pilot study of a new methodology to study the development of the blue bottle fly (<i>Calliphora vomitoria</i>) under exposure to radio-frequency electromagnetic fields at 5.4 GHz

description: Exposure of insects to radio-frequency electromagnetic fields (RF-EMFs) can have developmental effects. However, there is currently no clear understanding of the exposure level that can lead to such effects. Therefore, the goal of this study was to, for the first time, study the development of the Blue Bottle Fly (<i>Calliphora vomitoria</i>, CV) under exposure to RF-EMFs at 5.4 GHz, using both numerical RF-EMF dosimetry with anatomically accurate 3 D models of insects and an RF-EMF exposure experiment. CV was chosen as a model organism in this study because CV’s development can be influenced thermally and CV’s pupal stage presents a window of several days in which immobile pupae can be exposed to RF-EMFs. The 5.4 GHz frequency was used because it allowed us the license-free operation of the exposure setup. Numerical, EM simulations with 3 D anatomically accurate models of CV, obtained using micro-CT scanning, were used in this study. These simulations enable the estimation of the absorbed power and the whole-body averaged specific absorption rate in CV during RF exposure experiments. An experiment with three exposure conditions was designed and executed in which 400 pupae were split into an exposed group that was placed inside the TEM cell for 48 h and concurrent control. Two exposure conditions used RF-EMF input power into the TEM cell at 5.4 GHz on two different levels. One exposure condition was sham exposure. Electric field strength measurements were used to validate the proper functioning of the exposure setups and to quantify the RF-EMF exposure of the control groups. All studied groups of pupae – exposed to RF-EMFs, sham, and control groups- showed similar (evolutions of) masses, lengths and diameters during their development. The total rate of pupal emergence was reduced in one of the studied RF-EMF exposures in comparison to its concurrent control, while the other RF-EMF exposure and the sham exposure did not alter the total rate of pupal emergence. The sham exposure and the lowest of the two studied RF-EMF exposure conditions (19.4 V/m) caused a median delay in pupal emergence of 4 and 8 hours, respectively, in comparison to concurrent control groups. The higher studied exposure of 55 V/m caused a median relative acceleration in the development of 8 h.
DOI: 10.6084/m9.figshare.20502942.v2
title: Pilot study of a new methodology to study the development of the blue bottle fly (<i>Calliphora vomitoria</i>) under exposure to radio-frequency electromagnetic fields at 5.4 GHz

description: Exposure of insects to radio-frequency electromagnetic fields (RF-EMFs) can have developmental effects. However, there is currently no clear understanding of the exposure level that can lead to such effects. Therefore, the goal of this study was to, for the first time, study the development of the Blue Bottle Fly (<i>Calliphora vomitoria</i>, CV) under exposure to RF-EMFs at 5.4 GHz, using both numerical RF-EMF dosimetry with anatomically accurate 3 D models of insects and an RF-EMF exposure experiment. CV was chosen as a model organism in this study because CV’s development can be influenced thermally and CV’s pupal stage presents a window of several days in which immobile pupae can be exposed to RF-EMFs. The 5.4 GHz frequency was used because it allowed us the license-free operation of the exposure setup. Numerical, EM simulations with 3 D anatomically accurate models of CV, obtained using micro-CT scanning, were used in this study. These simulations enable the estimation of the absorbed power and the whole-body averaged specific absorption rate in CV during RF exposure experiments. An experiment with three exposure conditions was designed and executed in which 400 pupae were split into an exposed group that was placed inside the TEM cell for 48 h and concurrent control. Two exposure conditions used RF-EMF input power into the TEM cell at 5.4 GHz on two different levels. One exposure condition was sham exposure. Electric field strength measurements were used to validate the proper functioning of the exposure setups and to quantify the RF-EMF exposure of the control groups. All studied groups of pupae – exposed to RF-EMFs, sham, and control groups- showed similar (evolutions of) masses, lengths and diameters during their development. The total rate of pupal emergence was reduced in one of the studied RF-EMF exposures in comparison to its concurrent control, while the other RF-EMF exposure and the sham exposure did not alter the total rate of pupal emergence. The sham exposure and the lowest of the two studied RF-EMF exposure conditions (19.4 V/m) caused a median delay in pupal emergence of 4 and 8 hours, respectively, in comparison to concurrent control groups. The higher studied exposure of 55 V/m caused a median relative acceleration in the development of 8 h.
DOI: 10.6084/m9.figshare.22002208
title: Biodose Tools: an R shiny application for biological dosimetry

description: In the event of a radiological accident or incident, the aim of biological dosimetry is to convert the yield of a specific biomarker of exposure to ionizing radiation into an absorbed dose. Since the 1980s, various tools have been used to deal with the statistical procedures needed for biological dosimetry, and in general those who made several calculations for different biomarkers were based on closed source software. Here we present a new open source program, Biodose Tools, that has been developed under the umbrella of RENEB (Running the European Network of Biological and retrospective Physical dosimetry). The application has been developed using the R programming language and the shiny package as a framework to create a user-friendly online solution. Since no unique method exists for the different mathematical processes, several meetings and periodic correspondence were held in order to reach a consensus on the solutions to be implemented. The current version 3.6.1 supports dose-effect fitting for dicentric and translocation assay. For dose estimation Biodose Tools implements those methods indicated in international guidelines and a specific method to assess heterogeneous exposures. The app can include information on the irradiation conditions to generate the calibration curve. Also, in the dose estimate, information about the accident can be included as well as the explanation of the results obtained. Because the app allows generating a report in various formats, it allows traceability of each biological dosimetry study carried out. The app has been used globally in different exercises and training, which has made it possible to find errors and improve the app itself. There are some features that still need consensus, such as curve fitting and dose estimation using micronucleus analysis. It is also planned to include a package dedicated to interlaboratory comparisons and the incorporation of Bayesian methods for dose estimation. Biodose Tools provides an open-source solution for biological dosimetry laboratories. The consensus reached helps to harmonize the way in which uncertainties are calculated. In addition, because each laboratory can download and customize the app’s source code, it offers a platform to integrate new features.
DOI: 10.6084/m9.figshare.22151900
title: Radiation-induced neuroinflammation monitoring by the level of peripheral blood monocytes with high expression of translocator protein

description: Currently there are no effective diagnostic methods for the control of neuroinflammation before manifestation of cognitive impairment after head irradiation. The translocator protein (TSPO) is highly expressed in glial cells upon brain damage, therefore we compared the changes in the number of cells with high TSPO expression in the brain and peripheral blood during radiation-induced neuroinflammation. Hippocampal cytokines mRNA expression and the content of cells with high TSPO expression in the brain and peripheral blood monocytes were analyzed up to eight months after mice head γ-irradiation at a dose of 2 Gy or 8Gy. Mice irradiation at a dose of 8 Gy causes neuroinflammation, accompanied by an increase of M1 microglia and TSPO<sup>high</sup> cells in the brain, elevated gene expression of pro-inflammatory and decreased of anti-inflammatory cytokines along with an increased number of microglia and astrocytes in the hippocampus. The content of TSPO<sup>high</sup> cells in the brain correlates with the level TSPO<sup>high</sup> monocytes in three days, one month and two months after exposure. An increase in the level of the monocytes with high expression of TSPO may be considered as a marker for an early diagnostics of post-radiation brain damage leading to cognitive impairment.
DOI: 10.6084/m9.figshare.22263083.v1
title: Overexpressed RBPMS-AS1 increased cell radiosensitivity by sponging miR-19a-3p in lung cancer cell lines (A549 and SK-MES-1) via regulating PTEN/AKT axis

description: This paper intended to study RBPMS-AS1 in lung cancer (LC) radiosensitivity. LC cells were transfected with RBPMS-AS1 overexpression plasmid and miR-19a-3p mimic and treated with radiation. PTEN, AKT, p-AKT, RBPMS-AS1, and miR-19a-3p expressions were detected via Western blot and qRT-PCR. The localization of RBPMS-AS1 in cells was determined through fluorescence in situ hybridization assay. The targeting relationships of RBPMS-AS1 and miR-19a-3p/miR-19a-3p and PTEN were determined through RIP and dual luciferase reporter analysis. Cell survival, viability, and apoptosis were assessed through colony formation, CCK-8, and flow-cytometry assays. RBPMS-AS1 was downregulated in LC and mainly distributed in cytoplasm. RBPMS-AS1 targeted miR-19a-3p in LC cells. Radiation suppressed LC cell survival, viability, and induced apoptosis, as overexpressed RBPMS-AS1 performed the similar effects and enhanced those effects induced by radiation. MiR-19a-3p mimic reversed the effect of overexpressed RBPMS-AS1 on enhancing radiation-induced LC cell apoptosis. MiR-19a-3p targeted PTEN and miR-19a-3p mimic reversed the effect of overexpressed RBPMS-AS1 on PTEN and phosphorylation of AKT in LC cells. Overexpressed RBPMS-AS1 sponged miR-19a-3p to increase cell radiosensitivity in LC via regulating PTEN/AKT axis.
DOI: 10.6084/m9.figshare.22002208.v1
title: Biodose Tools: An R shiny Application for Biological Dosimetry

description: <b>Introduction</b> In the event of a radiological accident or incident, the aim of biological dosimetry is to convert the yield of a specific biomarker of exposure to ionizing radiation into an absorbed dose. Since the 1980s, various tools have been used to deal with the statistical procedures needed for biological dosimetry, and in general those who made several calculations for different biomarkers were based on closed source software. Here we present a new open source program, Biodose Tools, that has been developed under the umbrella of RENEB (Running the European Network of Biological and retrospective Physical dosimetry). <b>Material and Methods</b> The application has been developed using the R programming language and the shiny package as a framework to create a user-friendly online solution. Since no unique method exists for the different mathematical processes, several meetings and periodic correspondence were held in order to reach a consensus on the solutions to be implemented. <b>Results</b> The current version 3.6.1 supports dose-effect fitting for dicentric and translocation assay. For dose estimation Biodose Tools implements those methods indicated in international guidelines and a specific method to assess heterogeneous exposures. The app can include information on the irradiation conditions to generate the calibration curve. Also, in the dose estimate, information about the accident can be included as well as the explanation of the results obtained. Because the app allows generating a report in various formats, it allows traceability of each biological dosimetry study carried out. The app has been used globally in different exercises and training, which has made it possible to find errors and improve the app itself. There are some features that still need consensus, such as curve fitting and dose estimation using micronucleus analysis. It is also planned to include a package dedicated to interlaboratory comparisons and the incorporation of Bayesian methods for dose estimation. <b>Conclusion</b> Biodose Tools provides an open-source solution for biological dosimetry laboratories. The consensus reached helps to harmonize the way in which uncertainties are calculated. In addition, because each laboratory can download and customize the app’s source code, it offers a platform to integrate new features.
DOI: 10.6084/m9.figshare.22002208.v2
title: Biodose Tools: an R shiny application for biological dosimetry

description: In the event of a radiological accident or incident, the aim of biological dosimetry is to convert the yield of a specific biomarker of exposure to ionizing radiation into an absorbed dose. Since the 1980s, various tools have been used to deal with the statistical procedures needed for biological dosimetry, and in general those who made several calculations for different biomarkers were based on closed source software. Here we present a new open source program, Biodose Tools, that has been developed under the umbrella of RENEB (Running the European Network of Biological and retrospective Physical dosimetry). The application has been developed using the R programming language and the shiny package as a framework to create a user-friendly online solution. Since no unique method exists for the different mathematical processes, several meetings and periodic correspondence were held in order to reach a consensus on the solutions to be implemented. The current version 3.6.1 supports dose-effect fitting for dicentric and translocation assay. For dose estimation Biodose Tools implements those methods indicated in international guidelines and a specific method to assess heterogeneous exposures. The app can include information on the irradiation conditions to generate the calibration curve. Also, in the dose estimate, information about the accident can be included as well as the explanation of the results obtained. Because the app allows generating a report in various formats, it allows traceability of each biological dosimetry study carried out. The app has been used globally in different exercises and training, which has made it possible to find errors and improve the app itself. There are some features that still need consensus, such as curve fitting and dose estimation using micronucleus analysis. It is also planned to include a package dedicated to interlaboratory comparisons and the incorporation of Bayesian methods for dose estimation. Biodose Tools provides an open-source solution for biological dosimetry laboratories. The consensus reached helps to harmonize the way in which uncertainties are calculated. In addition, because each laboratory can download and customize the app’s source code, it offers a platform to integrate new features.