cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/m6vv9k9gcd.1
title: Urban Building Energy Stock Datasets

description: This dataset comprises over 1 million records of residential urban building stock, including types such as terraced houses, detached houses, semi-detached houses, and bungalows. It utilizes jEPlus as a parametric tool for physics-based simulations, combined with EnergyPlus for thermal simulation, and integrates DesignBuilder construction templates for generation. The dataset encompasses various building features, such as HVAC systems and building fabric properties (including U-values for walls, roofs, floors, doors, and windows). It also contains parameters related to heating, lighting, equipment, photovoltaic systems, and hot water energy demand. For citation: Usman Ali, Sobia Bano, Mohammad Haris Shamsi, Divyanshu Sood, Cathal Hoare, Wangda Zuo, Neil Hewitt, James O'Donnell. “Urban building energy performance prediction and retrofit analysis using data-driven machine learning approach”. Energy and Buildings, Volume 303, https://doi.org/10.1016/j.enbuild.2023.113768
DOI: 10.17632/m6vv9k9gcd.4
title: Urban Building Energy Stock Datasets

description: This dataset comprises over 1 million records of residential urban building stock, including types such as terraced houses, detached houses, semi-detached houses, and bungalows. It utilizes jEPlus as a parametric tool for physics-based simulations, combined with EnergyPlus for thermal simulation, and integrates DesignBuilder construction templates for generation. The dataset encompasses various building features, such as HVAC systems and building fabric properties (including U-values for walls, roofs, floors, doors, and windows). It also contains parameters related to heating, lighting, equipment, photovoltaic systems, and hot water energy demand.

For citation:
Usman Ali, Sobia Bano, Mohammad Haris Shamsi, Divyanshu Sood, Cathal Hoare, Wangda Zuo, Neil Hewitt, James O'Donnell. “Urban building energy performance prediction and retrofit analysis using data-driven machine learning approach”. Energy and Buildings, Volume 303, https://doi.org/10.1016/j.enbuild.2023.113768
DOI: 10.26165/juelich-data/7rj69h
title: CSS-2: Temperature retrieval September 2019

description: Simulated CAIRT retrieval results for temperatures from ECMWF-IFS analysis data; Sep 2019
DOI: 10.6084/m9.figshare.19922370
title: Effects of mulberry leaf extracts on activity and mRNA expression of five cytochrome P450 enzymes in rat

description: Adverse side effects of drug-drug interactions induced by human cytochrome P450 (CYP450) inhibition is an important consideration in drug discovery. Mulberry leaves are of broad popular use for food or remedy purposes, which is believed to contain substances that are beneficial for preventing and alleviating diabetes. However, there is a paucity of information about the effect of mulberry leaves on rat CYP450 enzymes activities and the mRNA expression levels in vivo. The present study aimed to investigate the effect of mulberry leaves on activities of rat CYP450 enzymes (CYP3A4, CYP2C8, CYP2C19, CYP2D6, and CYP1A2) through both probe-drug cocktail approach and real-time polymerase chain reaction (RT-qPCR). The pharmacokinetic results indicated that the aqueous extract of mulberry leaves (AML) exhibited induction effects on CYP3A4 activities, and AML exhibited inhibitory effects on CYP1A2, CYP2D6, and CYP2C8, while no obvious effect was observed on CYP2C19 activity. Additionally, the ethanol extract of mulberry leaves (EML) could induce the activities of CYP3A4. In addition, EML exhibited inhibitory effects on CYP1A2, CYP2D6, and CYP2C19, while no significant change in CYP2C8 activity was observed. Accordingly, the level of mRNA expression of five CYP enzymes were consistent with the result of pharmacokinetic. The results of our study may form a practical strategy for assessing CYP-mediated HDI.
DOI: 10.6084/m9.figshare.19922370.v1
title: Effects of mulberry leaf extracts on activity and mRNA expression of five cytochrome P450 enzymes in rat

description: Adverse side effects of drug-drug interactions induced by human cytochrome P450 (CYP450) inhibition is an important consideration in drug discovery. Mulberry leaves are of broad popular use for food or remedy purposes, which is believed to contain substances that are beneficial for preventing and alleviating diabetes. However, there is a paucity of information about the effect of mulberry leaves on rat CYP450 enzymes activities and the mRNA expression levels in vivo. The present study aimed to investigate the effect of mulberry leaves on activities of rat CYP450 enzymes (CYP3A4, CYP2C8, CYP2C19, CYP2D6, and CYP1A2) through both probe-drug cocktail approach and real-time polymerase chain reaction (RT-qPCR). The pharmacokinetic results indicated that the aqueous extract of mulberry leaves (AML) exhibited induction effects on CYP3A4 activities, and AML exhibited inhibitory effects on CYP1A2, CYP2D6, and CYP2C8, while no obvious effect was observed on CYP2C19 activity. Additionally, the ethanol extract of mulberry leaves (EML) could induce the activities of CYP3A4. In addition, EML exhibited inhibitory effects on CYP1A2, CYP2D6, and CYP2C19, while no significant change in CYP2C8 activity was observed. Accordingly, the level of mRNA expression of five CYP enzymes were consistent with the result of pharmacokinetic. The results of our study may form a practical strategy for assessing CYP-mediated HDI.
DOI: 10.17632/6b6ddbg8p8.1
title: Assessment of the influencing factors on African countries signing Economic Partnership Agreements with EU

description: This paper want to figure out factors influencing the signing of EPA agreements by African countries and three sets of variables are used : economic, political and regional integration, which include eight variablesin total(GDP、LDC、Resource、Trade with EU、Governance、Democratic、Number、RIL) . Data related with variables are derived from the European Commission's website on the signing of EPAs between African countries and the EU; The economic scale and resource endowment of African countries come from the World Bank's World Development Index (WDI) database; Trade data from the International Trade Centre (ITC) Trade map; The Corruption Perceptions Index (GCI) comes from the Global Perceptions Index report published annually by Transparency International, which used a 10-point scale before 2012, multiplied by 10 to convert into a 10-point scale, which is consistent with the index after 2012; Degree of democracy comes from data provided by the Polity IV Project website; The number of FTAs signed by Africa comes from the regional trade agreement database on the World Trade Organization website. The study period is 2007~2020, during which major African countries have basically completed the signing or ratification procedures of EPAs.
DOI: 10.6084/m9.figshare.24989679
title: Supplementary Videos and Captions for Roth & Sahin 2024

description: Video recordings of ciliary beat and particle clearance in human and rat airways as well as in vitro cultures of human airway epithelia differentiated in different media types. See Video Captions for additional details.Associated with this study: https://www.biorxiv.org/content/10.1101/2023.12.24.572054v2
DOI: 10.6084/m9.figshare.24989679.v2
title: Supplementary Videos and Captions for Roth & Sahin 2024

description: Video recordings of ciliary beat and particle clearance in human and rat airways as well as in vitro cultures of human airway epithelia differentiated in different media types. See Video Captions for additional details.Associated with this study: https://www.biorxiv.org/content/10.1101/2023.12.24.572054v2
DOI: 10.6084/m9.figshare.24989679.v1
title: Supplementary Videos and Captions

description: Video recordings of ciliary beat and particle clearance in human and rat airways as well as in vitro cultures of human airway epithelia differentiated in different media types. See Video Captions for additional details.
DOI: 10.6084/m9.figshare.25027625
title: Table S2_Human O-GlcNAcome.xlsx

description: The human O-GlcNAcome database. The human O-GlcNAcylated proteins are documented as well as the techniques, article (PMID) and site information. For each protein, an O-GlcNAc score was attributed according to methods used, the number of articles, and the identification of O-GlcNAc sites. The disclaimer column notifies discrepancies between the literature and the O-GlcNAc sites listed.
DOI: 10.6084/m9.figshare.13106688
title: Supplement 3: Whole data for leaves and DT297 measurements used in this study from A case of long-term herbivory: specialized feeding trace on <i>Parrotia</i> (Hamamelidaceae) plant species

description: Not Available (NA) data for some leaves from Willershausen outcrops are due to the lack of petiol or a wide incomplete leaf blade.
DOI: 10.6084/m9.figshare.13106688.v1
title: Supplement 3: Whole data for leaves and DT297 measurements used in this study from A case of long-term herbivory: specialized feeding trace on <i>Parrotia</i> (Hamamelidaceae) plant species

description: Not Available (NA) data for some leaves from Willershausen outcrops are due to the lack of petiol or a wide incomplete leaf blade.
DOI: 10.6084/m9.figshare.19398174
title: MiR-34a-5p Negatively Regulates Oxidative Stress on Lens Epithelial Cells by Silencing GPX3 – A Novel Target

description: MiR-34a-5p is reported to be related with age-related nuclear cataract. This study investigated the mechanism of miR-34a-5p in the regulation of oxidative stress on lens epithelial cells. The three candidate miRNAs were screened by CCK-8 assays after transfection of mimics or inhibitor in H<sub>2</sub>O<sub>2</sub>-treated HLE-B3 cells. The apoptosis, ROS level and GPX activity of HLE-B3 cells transfected with miR-34a-5p mimics or inhibitor were analysed by flow cytometry, cellular ROS and GPX activity test. The target genes of miR-34a-5p were predicted by proteomic and bioinformatic analysis. The relationship between miR-34a-5p and GPX3 were internally validated by qRT-PCR and Western blot and externally verified by dual-luciferase reporter assay. The effect of miR-34a-5p-GPX3 axis on regulation of oxidative stress in HLE-B3 cells were conducted by overexpression of GPX3 and tested by flow cytometry analysis, cellular ROS and GPX detection. The viability of H<sub>2</sub>O<sub>2</sub>-treated HLE-B3 cells were weakened by up-regulated miR-34a-5p. Cell apoptosis and oxidative damage were also induced by overexpression of miR-34a-5p. GPX3 and SRC were identified as target genes of miR-34a-5p by combined analysis of proteomic and bioinformatics, while GPX3 was selected for further research for its connection with anti-oxidation. Western blot and qRT-PCR tests proved that GPX3 is negatively regulated by miR-34a-5p. Dual-luciferase reporter assay verified that GPX3 is the direct target of miR-34a-5p. The increased oxidative stress induced by transfection of miR-34a-5p mimics in H<sub>2</sub>O<sub>2</sub>-treated HLE-B3 cells was attenuated by overexpression of GPX3. MiR-34a-5p is a negative regulator of oxidative stress on lens epithelial cells and the mechanism is by silencing the expression of GPX3. These data suggest that miR-34a-5p may be a potential novel therapeutic target for the prevention and treatment of age-related cataract.
DOI: 10.5066/p9u9wgvw
title: Elevation-Derived Hydrography in the Upper Shawsheen River Basin, Massachusetts

description: The U.S. Geological Survey (USGS), in cooperation with the Air Force Civil Engineer Center (AFCEC), has compiled Geographic Information Systems (GIS) datasets. The spatial data layers provided in this data release are hydrography data derived from high-resolution lidar digital elevation models (DEM). They include a hydroline polyline shapefile used to hydro-enforce the high-resolution lidar DEM; a stream network centerline polyline shapefile derived from the hydro-enforcement that shows stream location; a sub-basin polygon shapefile derived from the hydro-enforcement representing watershed areas for all stream network centerline polylines; a flow direction raster, predicting the direction of flow based on direction of steepest drop; and a flow accumulation raster, predicting the number of upstream cells flowing into each one-meter cell. Field verification was conducted for locations where the high-resolution lidar digital elevation models were unclear on hydraulic connection. Photographs were captured to confirm the conveyance of flow. The datasets are provided in separate child items.
DOI: 10.6084/m9.figshare.19398174.v1
title: MiR-34a-5p Negatively Regulates Oxidative Stress on Lens Epithelial Cells by Silencing GPX3 – A Novel Target

description: MiR-34a-5p is reported to be related with age-related nuclear cataract. This study investigated the mechanism of miR-34a-5p in the regulation of oxidative stress on lens epithelial cells. The three candidate miRNAs were screened by CCK-8 assays after transfection of mimics or inhibitor in H<sub>2</sub>O<sub>2</sub>-treated HLE-B3 cells. The apoptosis, ROS level and GPX activity of HLE-B3 cells transfected with miR-34a-5p mimics or inhibitor were analysed by flow cytometry, cellular ROS and GPX activity test. The target genes of miR-34a-5p were predicted by proteomic and bioinformatic analysis. The relationship between miR-34a-5p and GPX3 were internally validated by qRT-PCR and Western blot and externally verified by dual-luciferase reporter assay. The effect of miR-34a-5p-GPX3 axis on regulation of oxidative stress in HLE-B3 cells were conducted by overexpression of GPX3 and tested by flow cytometry analysis, cellular ROS and GPX detection. The viability of H<sub>2</sub>O<sub>2</sub>-treated HLE-B3 cells were weakened by up-regulated miR-34a-5p. Cell apoptosis and oxidative damage were also induced by overexpression of miR-34a-5p. GPX3 and SRC were identified as target genes of miR-34a-5p by combined analysis of proteomic and bioinformatics, while GPX3 was selected for further research for its connection with anti-oxidation. Western blot and qRT-PCR tests proved that GPX3 is negatively regulated by miR-34a-5p. Dual-luciferase reporter assay verified that GPX3 is the direct target of miR-34a-5p. The increased oxidative stress induced by transfection of miR-34a-5p mimics in H<sub>2</sub>O<sub>2</sub>-treated HLE-B3 cells was attenuated by overexpression of GPX3. MiR-34a-5p is a negative regulator of oxidative stress on lens epithelial cells and the mechanism is by silencing the expression of GPX3. These data suggest that miR-34a-5p may be a potential novel therapeutic target for the prevention and treatment of age-related cataract.
DOI: 10.17632/jnz3sz35k3.1
title: Souce data_GCA-D-23-00776

description: Source data of the paper "Oxygen isotope study of the Asuka-881020 CH chondrite II: Porphyritic chondrules"
DOI: 10.17632/gttk9xt2hf.1
title: Ма Вэньци Выборка данных

description: Выборка в системе Excel и ее аналитика для написания диссертационного исследования
DOI: 10.17632/44mm8ydj5s.1
title: Егор Силенок_выборка и анали

description: Выборка для анализа в диссертационном исследовании
DOI: 10.6084/m9.figshare.14679615
title: Identification of the key genes and pathways involved in B cells in primary Sjögren’ s syndrome

description: Primary Sjögren’ s syndrome (pSS) is a relatively common autoimmune disease, which mainly involves the exocrine glands, causing dry eye, dryness of mouth, fatigue and pain in the joints, thus severely affecting the normal lives of patients. B cell populations are considered to play an important role in their pathogenesis and pSS patients are generally characterized by exhibiting biological signs of B cell activation. Moreover, another important characterized change in the peripheral blood of pSS patients is found to be the decreased number of circulating memory B cells. However, the mechanisms underlying the B cell activation and the decreased level of circulating memory B cells in pSS patients are still unclear. Therefore, we identified key genes and pathways involved in B cells in pSS through a combination of several bioinformatic approaches including Cell-type Identification By Estimating Relative Subsets Of RNA Transcripts (CIBERSORT) and weighted gene co-expression network analysis (WGCNA) using gene expression data of pSS patients and controls from an open database Gene Expression Omnibus (GEO). The results may provide some novel insights into the pathogenesis of pSS. Moreover, we constructed and validated a diagnostic model for pSS by using the expression patterns of these key genes, which may assist clinicians in diagnosing pSS.
DOI: 10.6084/m9.figshare.14679615.v1
title: Identification of the key genes and pathways involved in B cells in primary Sjögren’ s syndrome

description: Primary Sjögren’ s syndrome (pSS) is a relatively common autoimmune disease, which mainly involves the exocrine glands, causing dry eye, dryness of mouth, fatigue and pain in the joints, thus severely affecting the normal lives of patients. B cell populations are considered to play an important role in their pathogenesis and pSS patients are generally characterized by exhibiting biological signs of B cell activation. Moreover, another important characterized change in the peripheral blood of pSS patients is found to be the decreased number of circulating memory B cells. However, the mechanisms underlying the B cell activation and the decreased level of circulating memory B cells in pSS patients are still unclear. Therefore, we identified key genes and pathways involved in B cells in pSS through a combination of several bioinformatic approaches including Cell-type Identification By Estimating Relative Subsets Of RNA Transcripts (CIBERSORT) and weighted gene co-expression network analysis (WGCNA) using gene expression data of pSS patients and controls from an open database Gene Expression Omnibus (GEO). The results may provide some novel insights into the pathogenesis of pSS. Moreover, we constructed and validated a diagnostic model for pSS by using the expression patterns of these key genes, which may assist clinicians in diagnosing pSS.
DOI: 10.17632/m9bp8gy7jf.1
title: Выборка Се Линья

description: Выборка для диссертации
DOI: 10.17632/kk2sd2xswm.1
title: Maps and Profiles of Nearshore Topo-bathymetric Transects Perpendicular to Road for the State of Hawaii Maui County Coastal Roads Report

description: This database consists of a series of maps that depict the spatial distribution of nearshore topo-bathymetric transects perpendicular to the road and accompanying profiles that present elevation and depth values along these transects on the islands of Maui and Molokai. 

Transects are identified by Francis et al. (2024a). State of Hawaii Department of Transportation (HDOT) state routes and Maui County Roads are acquired from HDOT (2023) and MC (2022). Shoreline datasets are provided by NGS (2017). Elevation and depth values along the transects are referenced to local mean sea level (LMSL) and are sampled from a digital elevation model (DEM) prepared by Francis et al. (2019).

References
1) Francis, O., Yang, L., & Togia, H. (2024a). Ocean Hazards Database (OHD) for the State of Hawaii Maui County Coastal Roads Report [Data set]. https://doi.org/10.17632/ndyy8nz77x.

2) Francis, O., Yang, L., Togia, H., & Tumino Di Costanzo, G. (2019). Ocean Hazards Database (OHD) for the State of Hawaii Statewide Coastal Highway Program Report [Data set]. https://doi.org/10.17632/7p3hyypmjm. 

3) Francis, O., Zhang, G., Ma, D., Robertson, I., Togia, H., Yang, L., Eyre, K., Rossi, C., Martinez, B.A., Han, R., Hataishi, M., Hunter, N., Takahashi, C., Wang, Y., Yang, H., Zhou, S., & Yuan. R. (2024b). State of Hawaii Maui County coastal roads report. Prepared for the Maui County and State of Hawaii Department of Transportation, Project number HWY-L 2.3089, February 26, 2024.

4) HDOT (State of Hawaii Department of Transportation). (2023). “hpms” [shapefile]. Scale Not Given. HPMS (Highway Performance Monitoring System Roads for Hawaii - 2021). Hawaii Statewide GIS Program. Retrieved from https://files.hawaii.gov/dbedt/op/gis/data/hpms.shp.zip (September 2023).

5) MC (Maui County) (2022). “roads_mau” [shapefile]. Scale Not Given. Maui County Roads (2022). Hawaii Statewide GIS Program. Retrieved from https://files.hawaii.gov/dbedt/op/gis/data/roads_mau.shp.zip (September 2023).

6) NGS (National Geodetic Survey) (2017). National Oceanic and Atmospheric Administration (NOAA) Continually Updated Shoreline Product (CUSP). Retrieved from https://www.ngs.noaa.gov/CUSP/ (October 2017).
DOI: 10.3886/icpsr39060.v1
title: Replication Data for: Monetary Policy and the Redistribution Channel, United States and Italy, 1980-2014
title: Version 1

description: This is the top-level PSID Stata dataset used for the analysis in A. Auclert, "Monetary Policy in the Redistribution Channel", American Economic Review, June 2019.
description: This study includes variables about participants' employment, income, taxes, household expenditures, assets, home ownership, and debts.
description: Datasets: 
DS1: Replication Data for: Monetary Policy and the Redistribution Channel, United States and Italy, 1980-2014
description: Smallest Geographic Unit: State
description: This data was originally published in openICPSR.This data is a Fast Track Release and is distributed as it was received from
the data depositor. The file has been zipped for release, but not checked or
processed. Users should consult the investigator(s) if further information is needed.
DOI: 10.17632/kk2sd2xswm.2
title: Maps and Profiles of Nearshore Topo-bathymetric Transects Perpendicular to Road for the State of Hawaii Maui County Coastal Roads Report

description: This database consists of a series of maps that depict the spatial distribution of nearshore topo-bathymetric transects perpendicular to the road and accompanying profiles that present elevation and depth values along these transects on the islands of Maui and Molokai. 

Transects are identified by Francis et al. (2024a). State of Hawaii Department of Transportation (HDOT) state routes and Maui County Roads are acquired from HDOT (2023) and MC (2022). Shoreline datasets are provided by NGS (2017). Elevation and depth values along the transects are referenced to local mean sea level (LMSL) and are sampled from a digital elevation model (DEM) prepared by Francis et al. (2019).

Details of the data sources and methods can be found in the 'Maps and Profiles of Nearshore Topo-bathymetric Transects Perpendicular to Road-README.docx' .

References cited in this description can be found in the 'Description References-README.docx'.
DOI: 10.3886/icpsr39060
title: Replication Data for: Monetary Policy and the Redistribution Channel, United States and Italy, 1980-2014
title: Archival Version

description: This is the top-level PSID Stata dataset used for the analysis in A. Auclert, "Monetary Policy in the Redistribution Channel", American Economic Review, June 2019.
description: This study includes variables about participants' employment, income, taxes, household expenditures, assets, home ownership, and debts.
description: Datasets: 
DS1: Replication Data for: Monetary Policy and the Redistribution Channel, United States and Italy, 1980-2014
description: Smallest Geographic Unit: State
description: This data was originally published in openICPSR.This data is a Fast Track Release and is distributed as it was received from
the data depositor. The file has been zipped for release, but not checked or
processed. Users should consult the investigator(s) if further information is needed.
DOI: 10.26165/juelich-data/foqbdv
title: CSS-2: GW analysis September 2019

description: S3D analyses of simulated temperature retrievals; Sep 2019