cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22652611.v5
title: How to investigate the mechanical properties of a 3D printed part using mechanics of composite material rules

description: A study for investigation of mechanical response of 3D printed PLA parts by FDM method has been performed and published in journal of IJRPR. The 3D printing process is an efficient and cost-effective production method for the rapid manufacture of parts that are complex in terms of geometry,<br> structure and mechanical behavior. Studying the mechanical behavior of these structures is very important to understand and optimize the performance of 3D<br> printed materials. In this article, the mechanical properties of 3D printed parts for PLA material are studied based on the constitutive stress-strain relationship<br> in a plane stress state, and the effect of fabrication angle on the anisotropy properties of the material is analyzed using simple tensile tests in different material<br> directions. Assuming an orthotropic behavior, the changes in strength due to anisotropy are investigated. It has been observed that the assumption of<br> orthotropic behavior is a suitable assumption to express the mechanical behavior of fabricated materials using 3D printing methods. The results obtained can<br> be used in software for numerical analysis of 3D printed parts similar to composite modeling.
DOI: 10.6084/m9.figshare.22652611.v4
title: How to investigate the mechanical properties of a 3D printed parts using mechanics of composite material rules

description: A study for investigation of mechanical response of 3D printed PLA parts by FDM method has been performed and published in journal of IJRPR. The 3D printing process is an efficient and cost-effective production method for the rapid manufacture of parts that are complex in terms of geometry,<br> structure and mechanical behavior. Studying the mechanical behavior of these structures is very important to understand and optimize the performance of 3D<br> printed materials. In this article, the mechanical properties of 3D printed parts for PLA material are studied based on the constitutive stress-strain relationship<br> in a plane stress state, and the effect of fabrication angle on the anisotropy properties of the material is analyzed using simple tensile tests in different material<br> directions. Assuming an orthotropic behavior, the changes in strength due to anisotropy are investigated. It has been observed that the assumption of<br> orthotropic behavior is a suitable assumption to express the mechanical behavior of fabricated materials using 3D printing methods. The results obtained can<br> be used in software for numerical analysis of 3D printed parts similar to composite modeling.
DOI: 10.15151/esrf-es-1160677597
title: UK Midlands BAG

description: The UK Midlands BAG consists of groups located at the Universities of Birmingham, Leicester, Warwick, Nottingham, Keele, and Wolverhampton. We represent a diverse spectrum of research interests, from microbiology, cancer biology, blood disorders, immunology to fundamental biological processes such as membrane transport, DNA repair and mechanisms of enzyme catalysis. Our groups use X-ray crystallography in conjunction with other structural biology, biophysical and biochemical techniques to elucidate molecular mechanisms of protein-protein and protein-ligand interactions. Our cooperation in this block allocation group is mirrored by the consortium of institutions that are stakeholders in the Midlands Regional CryoEM Facility at the University of Leicester.
DOI: 10.5281/zenodo.7837504
title: MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 500m SIN Grid in 2012

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 8-day temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2018 (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 2012. <em>Please <strong>click here</strong> to download the MUSES FVC product <strong>in 2011</strong></em>, and <em><strong>click here</strong> to download the MUSES FVC product <strong>in 2013</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2012 Spatial Resolution: 500m Temporal Resolution: 8 days 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.7837503
title: MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 500m SIN Grid in 2012

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 8-day temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2018 (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 2012. <em>Please <strong>click here</strong> to download the MUSES FVC product <strong>in 2011</strong></em>, and <em><strong>click here</strong> to download the MUSES FVC product <strong>in 2013</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2012 Spatial Resolution: 500m Temporal Resolution: 8 days 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: 10.6084/m9.figshare.22661776
title: Data

description: Sites_Data : Contains 7 columns. "site_id" is the identification name for each sites. "Longitude" and "Latitude" are their geographical coordinates. "MeanT", "maxT", "minT" and "rangeT" are respectively their mean temperature, max temperature, min temperature and the difference between their maximum and minimum temperature according to WorldClim. Raw Data : Contains 11 columns. "Bact_numero" is the identification number of each bacteria isolated using their morphotypes through streaking technique. "Jour" corresponds to the day the growth rate was collected. The experiment lasted three days due to the number of bacteria to grow. "Temperature" corresponds to the incubator temperature for growth rate. "Puit" is the location of the bacteria on the 96-well plates used to grow bacteria in. "Bact_site" corresponds to the site where each bacteria was collected followed by their "Latitude" and "Longitude". "N0" is the initial bacterial count taken after 3h of incubation and "N1" is the bacterial count obtained after 12 hours of incubation. "r" is the growth rate obtained using data from N0 and N1. "Optimum" corresponds to the temperature where the fastest growth rate was computed for each unique bacteria. It was obtained using the derivative of equation 4 when data was plotted for growth rate ("r") against temperature. Growth Data : Contains 7 columns. "Bact_numero" is the same as in the file Raw_Data. "Latitude" is the latitude of the site where the bacteria was isolated from. "MinMuBact" is the slowest growth rate computed through equation 4 with the temperature in kelvin at witch it was reach named "MinTemp". "OptMuBact" is the fastest growth rate computed through equation 4 with the temperature in kelvin at witch it was reached named "OptTemp". "eV" is the activation energy computed using the information contained in columns "MinMuBact", "OptMuBact", "MinTemp" and "OptTemp".
DOI: 10.6084/m9.figshare.22661776.v1
title: Data

description: Sites_Data : Contains 7 columns. "site_id" is the identification name for each sites. "Longitude" and "Latitude" are their geographical coordinates. "MeanT", "maxT", "minT" and "rangeT" are respectively their mean temperature, max temperature, min temperature and the difference between their maximum and minimum temperature according to WorldClim. Raw Data : Contains 11 columns. "Bact_numero" is the identification number of each bacteria isolated using their morphotypes through streaking technique. "Jour" corresponds to the day the growth rate was collected. The experiment lasted three days due to the number of bacteria to grow. "Temperature" corresponds to the incubator temperature for growth rate. "Puit" is the location of the bacteria on the 96-well plates used to grow bacteria in. "Bact_site" corresponds to the site where each bacteria was collected followed by their "Latitude" and "Longitude". "N0" is the initial bacterial count taken after 3h of incubation and "N1" is the bacterial count obtained after 12 hours of incubation. "r" is the growth rate obtained using data from N0 and N1. "Optimum" corresponds to the temperature where the fastest growth rate was computed for each unique bacteria. It was obtained using the derivative of equation 4 when data was plotted for growth rate ("r") against temperature. Growth Data : Contains 7 columns. "Bact_numero" is the same as in the file Raw_Data. "Latitude" is the latitude of the site where the bacteria was isolated from. "MinMuBact" is the slowest growth rate computed through equation 4 with the temperature in kelvin at witch it was reach named "MinTemp". "OptMuBact" is the fastest growth rate computed through equation 4 with the temperature in kelvin at witch it was reached named "OptTemp". "eV" is the activation energy computed using the information contained in columns "MinMuBact", "OptMuBact", "MinTemp" and "OptTemp".
DOI: 10.6084/m9.figshare.22138331.v1
title: The Characteristics of the Yangtze Flooding from the Perspective of Atmospheric Water Tracing

description: These data are simulated results from the CAM5.1 model with the the Eulerian atmospheric water tracer method.
DOI: 10.25919/ychh-kb55
title: Parkes observations for project P1173 semester 2022OCTS_09

description: Spider pulsar systems are compact binary pulsars with low-mass companions in tight orbits, where the primary pulsar is ablating the secondary through the output of high-energy radiation and pulsar wind due to proximity. These systems present an interesting opportunity to probe the mechanisms related to the destruction of these low-mass bodies in the radio regime, as debris surrounding the ablated secondary companion causes the pulsar emission to propagate and scatter as it moves through it, along our line of sight - revealing details of the complex, turbulent structure of this region. Recent studies have shown that the eclipsing region can cause pulsar signals to scatter, revealing small-scale structure of the turbulent field, as well as a strong variation in the pulsar’s polarsiation, rotation measure and dispersion measure. Under this proposal, we wish to study two known spider pulsars for their full orbit with the Parkes UWL capability – which has not been achieved by any other telescope. This will give us the opportunity to analyse he eclipsing effects of these systems.
DOI: 10.6084/m9.figshare.22579948
title: weather_data.csv

description: Weather_data file contains real-time measurements of outdoor temperature, relative humidity, diffuse solar radiation, and direct solar radiation for city Islamabad. The data was collected using a weather station installed in the city and includes 6-hour, 12-hour, and 24-hour predictions for each measurement. Building_1 data file contains real-time measurements of the power output from a 1 kW solar plant installed by Crysto-Solar. The data was collected at half-hour intervals and includes the hours since 00:00 January 1 and the hourly data for AC inverter power (W). solar_generation_1kW file contains real-time measurements of energy consumption for a domestic building using Tesla Inverter (Hybrid) in F15, Islamabad. The data includes the hourly energy consumption for different systems within the building, such as heating, ventilation, and air conditioning (HVAC), lighting, and electrical appliances.
DOI: 10.6084/m9.figshare.22661788
title: Global analysis of the perturbation effects of metal-based nanoparticles on soil nitrogen cycling

description: Although studies have investigated the effects of metal-based nanoparticles (MNPs) on soil biogeochemical processes, the results obtained thus far are highly variable. Moreover, we do not yet understand how the impact of MNPs is affected by experimental design and environmental conditions. Herein, we conducted a global analysis to synthesize the effects of MNPs on 17 variables associated with soil nitrogen (N) cycling from 62 studies.
DOI: 10.6084/m9.figshare.22661788.v1
title: Global analysis of the perturbation effects of metal-based nanoparticles on soil nitrogen cycling

description: Although studies have investigated the effects of metal-based nanoparticles (MNPs) on soil biogeochemical processes, the results obtained thus far are highly variable. Moreover, we do not yet understand how the impact of MNPs is affected by experimental design and environmental conditions. Herein, we conducted a global analysis to synthesize the effects of MNPs on 17 variables associated with soil nitrogen (N) cycling from 62 studies.
DOI: 10.6084/m9.figshare.22661788.v2
title: Global analysis of the perturbation effects of metal-based nanoparticles on soil nitrogen cycling

description: Although studies have investigated the effects of metal-based nanoparticles (MNPs) on soil biogeochemical processes, the results obtained thus far are highly variable. Moreover, we do not yet understand how the impact of MNPs is affected by experimental design and environmental conditions. Herein, we conducted a global analysis to synthesize the effects of MNPs on 17 variables associated with soil nitrogen (N) cycling from 62 studies.
DOI: 10.6084/m9.figshare.21680669
title: Rehfeldt et al. data reference

description: Accompanying data for publication density_file_reference.txt: This file describes which projects and files were used for the MS2 peak extraction (Figure 9 + Supplementary Figures 8-9)<br> <br> density+fragmentation.zip: This contains the txt files needed to create the ms2 density plots (figures 9 and 8s+9s) and the fragmentation figures <br> <br> files.bson.gz: This is a MongoDB file which contain the metadata from all files used during the analysis.<br> <br> projects.bson.gz: This is a MongoDB file which contain the metadata from all projects on PRIDE (as of Feburary 2023). Not all metadata were used in the manuscript<br> <br> models.7z: This is a zipped folder of all trained models we discussed in the manuscript and the parameters MongoDB used by MS2AI. If these are extracted into the MS2AI metadata folder they will be runable with the -tm or -t functions (read the MS2AI documentation)<br> <br> dbs.7z: This contains 12 MongoDB datasets used to train each of the models in models.7z. The datasets are described in Table 1.<br>
DOI: 10.6084/m9.figshare.21680669.v1
title: Rehfeldt et al. data reference

description: Accompanying data for publication
DOI: 10.6084/m9.figshare.21680669.v2
title: Rehfeldt et al. data reference

description: Accompanying data for publication density_file_reference.txt: This file describes which projects and files were used for the MS2 peak extraction (Figure 9 + Supplementary Figures 8-9)<br> <br> density+fragmentation.zip: This contains the txt files needed to create the ms2 density plots (figures 9 and 8s+9s) and the fragmentation figures <br> <br> files.bson.gz: This is a MongoDB file which contain the metadata from all files used during the analysis.<br> <br> projects.bson.gz: This is a MongoDB file which contain the metadata from all projects on PRIDE (as of Feburary 2023). Not all metadata were used in the manuscript<br> <br> models.7z: This is a zipped folder of all trained models we discussed in the manuscript and the parameters MongoDB used by MS2AI. If these are extracted into the MS2AI metadata folder they will be runable with the -tm or -t functions (read the MS2AI documentation)<br> <br> dbs.7z: This contains 12 MongoDB datasets used to train each of the models in models.7z. The datasets are described in Table 1.<br>
DOI: 10.5517/ccdc.csd.cc2dxy8k
title: CCDC 2232349: Experimental Crystal Structure Determination

description: Related Article: Álvaro García-Romero, Jessica E. Waters, Rajesh B. Jethwa, Andrew D. Bond, Annie L. Colebatch, Raúl García-Rodríguez, Dominic S. Wright|2023|Inorg.Chem.|62|4625|doi:10.1021/acs.inorgchem.3c00057
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.cc2dxyfq
title: CCDC 2232354: Experimental Crystal Structure Determination

description: Related Article: Álvaro García-Romero, Jessica E. Waters, Rajesh B. Jethwa, Andrew D. Bond, Annie L. Colebatch, Raúl García-Rodríguez, Dominic S. Wright|2023|Inorg.Chem.|62|4625|doi:10.1021/acs.inorgchem.3c00057
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: 10.18112/openneuro.ds004457.v1.0.1
title: Electrical stimulation of temporal and limbic circuitry produces distinct responses in human ventral temporal cortex
DOI: 10.34740/kaggle/dsv/5462126
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.25345/c5dv1cz3s
title: MassIVE MSV000091749 - SERBP1 interactome defines its novel regulatory roles in the cytoplasm and nucleus in conjunction with PARP1-, G-quadruplex- and PAR-binders
title: Background RNA binding proteins (RBPs) containing intrinsically disordered regions (IDRs) are present in diverse molecular complexes where they function as dynamic regulators. Their characteristics allow liquid-liquid phase separation (LLPS) and formation of membraneless organelles or molecular condensates such as stress granules and nucleoli. IDR-RBPs are particularly relevant in the nervous system, regulating brain function, neurogenesis and synapse plasticity. Their dysfunction is associated with neurodegenerative diseases and brain tumor development. SERBP1 is a unique member of this group, being mostly disordered and lacking canonical RNA-binding domains. We have previously defined SERBP1 as an oncogenic factor in glioblastoma. Here, we investigated the SERBP1 interactome using a proteomics approach. Results We defined novel roles for SERBP1 in splicing, cell division, DNA repair and ribosomal biogenesis based on the protein's interactome and functional analyses. SERBP1 preferentially interacts with other G-quadruplex (G4) binders, implicated in different stages of gene expression, suggesting that G4 binding is a critical component of SERBP1 function in different settings. Similarly, we identified important associations between SERBP1 and PARP1/polyADP-ribosylation (PARylation). SERBP1 interacts with PARP1 and its associated factors and influences PARylation. Moreover, SERBP1 and most of its associated proteins get PARylated and/or bind to PAR, indicating that SERBP1 is present in regulatory complexes that are built on PAR binding. Finally, we determined that SERBP1 is potentially implicated in Alzheimer's where it is highly expressed and present in pathological stress granules and Tau aggregates. Conclusion Our study established SERBP1 as a multi-functional protein that participates in distinct regulatory complexes assembled via G4- and PAR-binding.
DOI: 10.6084/m9.figshare.22661803.v1
title: Anterior cingulate cortex orexin signaling mediates early-life stress-induced social impairment in females

description: female SFR (3 replicates) vs female MS (3 replicates)
DOI: 10.5281/zenodo.7847705
title: LINKING SEDIMENT THERMAL INERTIA TO DEPOSITIONAL CONTEXT ON EARTH AND MARS: DATA

description: Thermophysical, grain, and spectroscopic data collected from Mars-analog field sites on Earth.
DOI: 10.5281/zenodo.7847704
title: LINKING SEDIMENT THERMAL INERTIA TO DEPOSITIONAL CONTEXT ON EARTH AND MARS: DATA

description: Thermophysical, grain, and spectroscopic data collected from Mars-analog field sites on Earth.
DOI: 10.5281/zenodo.7838126
title: 01 - Acta Scientiarum Education

description: Planilha utilizada na tese intitulada "<strong>Avaliação de periódicos na Área da Educação: índice de citação e características citacionais", </strong>a qual foi desenvolvida no Programa de Pós-Graduação da Pontifícia Universidade Católica do Paraná, com a orientação da professora Doutora Alboni Marisa Dudeque Pianovski Vieira. A tese foi defendida em 24 de fevereiro de 2023. Esse material pertence a um conjunto de 60 periódicos analisados e uma planilha matriz com todos os resultados quantitativos e gráficos. A descrição dessa planilha é a seguinte: Os dados foram organizados, coletados e descritos em planilhas do Microsoft Excel. A busca foi feita para catalogar as características de citação de periódicos da Área da Educação pertencentes ao Fórum de Editores de Periódicos da Área de Educação da Região Sul (FEPAE-Sul). Foi delimitado para 15 artigos (quando havia) para casa primeira publicação do periódico ou, no caso do fluxo contínuo, os 15 primeiros artigos foram usados. A organização da planilha consiste no ano de publicação, número de organização dos artigos utilizados, título do artigo analisado, ano da referência, se a referência é nacional (N) ou internacional (I) e a descrição do tipo de referência.