cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23677522.v1
title: <i>In-silico</i> structural studies on anti-inflammatory activity of phytocompounds from the genus Andrographis

description: Plant species from the genus <i>Andrographis</i> were used in Ayurveda and in other folklore medicines for treating ailments for centuries. In this study, we have hypothesized to evaluate the secondary metabolites as potent anti-inflammatory agents from the genus <i>Andrographis.</i> A library of secondary metabolites of the said genus was curated from the PubChem database and was subjected to energy minimization using UCSF Chimera software employing the AMBER force field. Initially, molecular docking was performed to evaluate the binding affinity of the curated library against the enzymes cyclooxygenase-1 (COX-1), cyclooxygenase-2 (COX-2), and 5-Lipoxygenase (5-LOX) using AutoDock Vina. This resulted in shortlisting of two metabolites Echioidinin 5-O-glucoside was bound and 5,2',6'-Trihydroxy-6,7,8-trimethoxy flavone 2'-O-glucoside with high binding affinity than standard drugs Ibuprofen and Zileuton. In addition, molecular dynamic simulation studies confirm that these compounds form relatively more stable complexes than standard drugs with the above-said enzymes. The free binding energy values using MMGBSA of the above said ligands with COX-1, COX-2, and 5-LOX were found to be −49.18 kcal/mol, −38.60 kcal/mol, and −54.27 kcal/mol respectively, Whereas the standards have −21.77 kcal/mol, −9.96 kcal/mol, and −10.29 kcal/mol. Moreover, the <i>in-silico</i> ADMET analysis confirms the druggability of the shortlisted compounds. Later, this work will act as a base for <i>in-vitro</i> and <i>in-vivo</i> experimental studies to validate the anti-inflammatory potential of the same. Communicated by Ramaswamy H. Sarma
DOI: 10.6084/m9.figshare.19241986
title: Limits of sustaining a flame above smoldering woody biomass

description: Smoldering is slow, low-temperature, and flameless burning of porous fuel, and it is also an emerging method for energy conversion and waste removal. However, smoldering combustion is an incomplete combustion process, so the pollutions resulted from smoldering emissions are significant concerns. This work explores the flaming of emission gases from the smoldering wood chips (200 kg/m<sup>3</sup>) under different oxidizer flow velocities (4 mm/s-24 mm/s) and oxygen concentrations (14%-21%) through porous media. Once ignited on the top, the smoldering front first propagates downward (1<sup>st</sup> stage, opposed) to the bottom and then propagates upward (2<sup>nd</sup> stage, forward). We found that during the 1<sup>st</sup>-stage downward smoldering propagation, a stable flame of smoldering emissions could be piloted and sustained. The critical smoldering burning rate for maintaining a stable flame remains constant at 10–12 g/m<sup>2</sup>∙s. To reach such a minimum smoldering burning rate, the required opposed flow velocity increases from 6 to 24 mm/s, as the oxygen concentration decreases from 21 to 14%. A simplified heat transfer process is proposed to reveal the limiting conditions for the co-existence of flaming and smoldering. This work enriches strategies for the clean treatment of smoldering emissions and promotes an energy-efficient and environment-friendly method for biowaste removal.
DOI: 10.6084/m9.figshare.19241986.v1
title: Limits of sustaining a flame above smoldering woody biomass

description: Smoldering is slow, low-temperature, and flameless burning of porous fuel, and it is also an emerging method for energy conversion and waste removal. However, smoldering combustion is an incomplete combustion process, so the pollutions resulted from smoldering emissions are significant concerns. This work explores the flaming of emission gases from the smoldering wood chips (200 kg/m<sup>3</sup>) under different oxidizer flow velocities (4 mm/s-24 mm/s) and oxygen concentrations (14%-21%) through porous media. Once ignited on the top, the smoldering front first propagates downward (1<sup>st</sup> stage, opposed) to the bottom and then propagates upward (2<sup>nd</sup> stage, forward). We found that during the 1<sup>st</sup>-stage downward smoldering propagation, a stable flame of smoldering emissions could be piloted and sustained. The critical smoldering burning rate for maintaining a stable flame remains constant at 10–12 g/m<sup>2</sup>∙s. To reach such a minimum smoldering burning rate, the required opposed flow velocity increases from 6 to 24 mm/s, as the oxygen concentration decreases from 21 to 14%. A simplified heat transfer process is proposed to reveal the limiting conditions for the co-existence of flaming and smoldering. This work enriches strategies for the clean treatment of smoldering emissions and promotes an energy-efficient and environment-friendly method for biowaste removal.
DOI: 10.13012/b2idb-4230392_v1
title: Data for Estimating the Electric Vehicle Charging Demand of Multi-Unit Dwelling Residents in the United States

description: Data and code supporting the paper titled "Estimating the Electric Vehicle Charging Demand of Multi-Unit Dwelling Residents in the United States" by Xi Cheng and Eleftheria Kontou at the University of Illinois Urbana-Champaign. The data and the code enable analytics and assessment of multi-unit dwelling residents travel patterns and their electric vehicle charging demand.
DOI: 10.26036/cnp0002035
title: Global Spatial Transcriptome of the Macaque Brain at Single-cell Resolution

description: Single-cell RNA-seq data for macaque brain
DOI: 10.5281/zenodo.8142712
title: Hourly ERA5-land data (T2m, SD and TP) from 2015-01-01 to 2022-12-31 for Troms and Finnmark (Norway)

description: This dataset contains hourly values of 2m air temperature, snow depth and total precipitation from the ERA5-land reanalysis from 2015-01-01 to 2022-12-31. The geographical area of interest corresponds to the Troms and Finnmark counties in Norway. Along with 10.5281/zenodo.8142734 this is to be used as input to forecast vegetation browning in Troms and Finnmark using machine learning.
DOI: 10.5281/zenodo.8142713
title: Hourly ERA5-land data (T2m, SD and TP) from 2015-01-01 to 2022-12-31 for Troms and Finnmark (Norway)

description: This dataset contains hourly values of 2m air temperature, snow depth and total precipitation from the ERA5-land reanalysis from 2015-01-01 to 2022-12-31. The geographical area of interest corresponds to the Troms and Finnmark counties in Norway. Along with 10.5281/zenodo.8142734 this is to be used as input to forecast vegetation browning in Troms and Finnmark using machine learning.
DOI: 10.5281/zenodo.7081609
title: Zarr of Sentinel-3 NDVI Long Term Statistics (1999-2019) from the Copernicus Global Land Service over Troms and Finnmark (Norway)

description: Normalized Difference Vegetation Index (NDVI) in the form of a zarr (tarball) from Sentinel-3 NDVI Analysis Ready Cloud Optimized (ARCO dataset) - The original data is provided by the Copernicus Global Land Service. <br> One can extract the zarr folder using a command like:<br> <pre><code>tar xvf c_gls_NDVI-LTS_1999-2019-Troms_Finnmark_VGT-PROBAV_V3.tar</code></pre>
DOI: 10.5281/zenodo.7081610
title: Zarr of Sentinel-3 NDVI Long Term Statistics (1999-2019) from the Copernicus Global Land Service over Troms and Finnmark (Norway)

description: Normalized Difference Vegetation Index (NDVI) in the form of a zarr (tarball) from Sentinel-3 NDVI Analysis Ready Cloud Optimized (ARCO dataset) - The original data is provided by the Copernicus Global Land Service. <br> One can extract the zarr folder using a command like:<br> <pre><code>tar xvf c_gls_NDVI-LTS_1999-2019-Troms_Finnmark_VGT-PROBAV_V3.tar</code></pre>
DOI: 10.5281/zenodo.6974216
title: EOOffshore: ERA5 Wind Data for the Irish Continental Shelf Region

description: EOOffshore is a Sustainable Energy Authority of Ireland (SEAI) funded project, which commenced in June 2020 in the School of Physics in University College Dublin (UCD). It presents a case study that demonstrates the utility of the Pangeo software ecosystem in the development of offshore wind speed and power density estimates, increasing wind measurement coverage of offshore renewable energy assessment areas in the Irish Continental Shelf (ICS) region. It has involved the creation of a new wind data catalog for this region, consisting of a collection of analysis-ready, cloud-optimized (ARCO) datasets featuring up to 21 years of available in situ, reanalysis, and satellite observation wind data products. ERA5 is the fifth generation global reanalysis data set produced by the European Centre for Medium-Range Weather Forecasts (ECMWF). It is a component of the Copernicus Climate Change Service (C3S), where data products are publicly available in the C3S Climate Data Store. This particular catalog data set (<em>eooffshore_ics_era5_single_level_hourly_wind.zarr.tar.gz</em>) contains 2001-2021 products for the ICS region from the <em>ERA5 hourly data on single levels from 1979 to present</em> data set, which provides hourly data from 1979 to the present day, at single levels (atmospheric, ocean-wave and land surface quantities). Wind speed and direction have been calculated from the <em>uX</em> and <em>vX</em> variables, where <em>X = 10 m</em> and <em>100 m</em> above sea level. This ERA5 data set was used in the EOOffshore project outputs presented (<em>Scalable Offshore Wind Analysis With Pangeo</em>) at the <em>Meeting Exascale Computing Challenges with Compression and Pangeo</em> 2022 EGU General Assembly session. Description and example usage of the ERA5 data set in EOOffshore: ERA5 Wind Data for Irish Continental Shelf region Offshore Wind in Irish Areas Of Interest Comparison of Offshore Wind Speed Extrapolation and Power Density Estimation As requested by the ECMWF - Licence to Use Copernicus Products, this Zarr store was: Generated using Copernicus Climate Change Service information [2001 - 2021]
DOI: 10.5281/zenodo.6974217
title: EOOffshore: ERA5 Wind Data for the Irish Continental Shelf Region

description: EOOffshore is a Sustainable Energy Authority of Ireland (SEAI) funded project, which commenced in June 2020 in the School of Physics in University College Dublin (UCD). It presents a case study that demonstrates the utility of the Pangeo software ecosystem in the development of offshore wind speed and power density estimates, increasing wind measurement coverage of offshore renewable energy assessment areas in the Irish Continental Shelf (ICS) region. It has involved the creation of a new wind data catalog for this region, consisting of a collection of analysis-ready, cloud-optimized (ARCO) datasets featuring up to 21 years of available in situ, reanalysis, and satellite observation wind data products. ERA5 is the fifth generation global reanalysis data set produced by the European Centre for Medium-Range Weather Forecasts (ECMWF). It is a component of the Copernicus Climate Change Service (C3S), where data products are publicly available in the C3S Climate Data Store. This particular catalog data set (<em>eooffshore_ics_era5_single_level_hourly_wind.zarr.tar.gz</em>) contains 2001-2021 products for the ICS region from the <em>ERA5 hourly data on single levels from 1979 to present</em> data set, which provides hourly data from 1979 to the present day, at single levels (atmospheric, ocean-wave and land surface quantities). Wind speed and direction have been calculated from the <em>uX</em> and <em>vX</em> variables, where <em>X = 10 m</em> and <em>100 m</em> above sea level. This ERA5 data set was used in the EOOffshore project outputs presented (<em>Scalable Offshore Wind Analysis With Pangeo</em>) at the <em>Meeting Exascale Computing Challenges with Compression and Pangeo</em> 2022 EGU General Assembly session. Description and example usage of the ERA5 data set in EOOffshore: ERA5 Wind Data for Irish Continental Shelf region Offshore Wind in Irish Areas Of Interest Comparison of Offshore Wind Speed Extrapolation and Power Density Estimation As requested by the ECMWF - Licence to Use Copernicus Products, this Zarr store was: Generated using Copernicus Climate Change Service information [2001 - 2021]
DOI: 10.5281/zenodo.6977029
title: EOOffshore: New European Wind Atlas (NEWA) Data for the Irish Continental Shelf Region

description: EOOffshore is a Sustainable Energy Authority of Ireland (SEAI) funded project, which commenced in June 2020 in the School of Physics in University College Dublin (UCD). It presents a case study that demonstrates the utility of the Pangeo software ecosystem in the development of offshore wind speed and power density estimates, increasing wind measurement coverage of offshore renewable energy assessment areas in the Irish Continental Shelf (ICS) region. It has involved the creation of a new wind data catalog for this region, consisting of a collection of analysis-ready, cloud-optimized (ARCO) datasets featuring up to 21 years of available in situ, reanalysis, and satellite observation wind data products. The New European Wind Atlas (NEWA) provides wind statistics covering onshore Europe, 100km offshore over European seas, and the complete North and Baltic Seas, based on 30 years of mesoscale simulations. These catalog data sets contain 2009-2018 products for the ICS region, provided by the NEWA Map Layers and Datasets website, featuring variables at multiple heights (metres above surface level). They were used in the EOOffshore project outputs presented (<em>Scalable Offshore Wind Analysis With Pangeo</em>) at the <em>Meeting Exascale Computing Challenges with Compression and Pangeo</em> 2022 EGU General Assembly session. <em>eooffshore_ics_newa_celticsea.zarr.tar.gz</em> Data set for a North Celtic Sea area of interest. <em>eooffshore_ics_newa_irishsea.zarr.tar.gz</em> Data set for an Irish Sea area of interest. <em>eooffshore_ics_newa_m3.zarr.tar.gz</em> Data set for the area surrounding the Irish Weather Buoy Network - M3 buoy coordinates. <em>eooffshore_ics_newa_m4.zarr.tar.gz</em> Data set for the area surrounding the Irish Weather Buoy Network - M4 buoy coordinates. Description and example usage of the NEWA data sets in EOOffshore: NEWA Wind Data for Irish Continental Shelf region Offshore Wind in Irish Areas Of Interest Comparison of Offshore Wind Speed Extrapolation and Power Density Estimation As requested by the NEWA Terms of use, the following attribution is declared: Data [2009 - 2018] obtained from the New European Wind Atlas (NEWA), a free, web-based application developed, owned and operated by the NEWA Consortium. For additional information see www.neweuropeanwindatlas.eu.
DOI: 10.5281/zenodo.6977028
title: EOOffshore: New European Wind Atlas (NEWA) Data for the Irish Continental Shelf Region

description: EOOffshore is a Sustainable Energy Authority of Ireland (SEAI) funded project, which commenced in June 2020 in the School of Physics in University College Dublin (UCD). It presents a case study that demonstrates the utility of the Pangeo software ecosystem in the development of offshore wind speed and power density estimates, increasing wind measurement coverage of offshore renewable energy assessment areas in the Irish Continental Shelf (ICS) region. It has involved the creation of a new wind data catalog for this region, consisting of a collection of analysis-ready, cloud-optimized (ARCO) datasets featuring up to 21 years of available in situ, reanalysis, and satellite observation wind data products. The New European Wind Atlas (NEWA) provides wind statistics covering onshore Europe, 100km offshore over European seas, and the complete North and Baltic Seas, based on 30 years of mesoscale simulations. These catalog data sets contain 2009-2018 products for the ICS region, provided by the NEWA Map Layers and Datasets website, featuring variables at multiple heights (metres above surface level). They were used in the EOOffshore project outputs presented (<em>Scalable Offshore Wind Analysis With Pangeo</em>) at the <em>Meeting Exascale Computing Challenges with Compression and Pangeo</em> 2022 EGU General Assembly session. <em>eooffshore_ics_newa_celticsea.zarr.tar.gz</em> Data set for a North Celtic Sea area of interest. <em>eooffshore_ics_newa_irishsea.zarr.tar.gz</em> Data set for an Irish Sea area of interest. <em>eooffshore_ics_newa_m3.zarr.tar.gz</em> Data set for the area surrounding the Irish Weather Buoy Network - M3 buoy coordinates. <em>eooffshore_ics_newa_m4.zarr.tar.gz</em> Data set for the area surrounding the Irish Weather Buoy Network - M4 buoy coordinates. Description and example usage of the NEWA data sets in EOOffshore: NEWA Wind Data for Irish Continental Shelf region Offshore Wind in Irish Areas Of Interest Comparison of Offshore Wind Speed Extrapolation and Power Density Estimation As requested by the NEWA Terms of use, the following attribution is declared: Data [2009 - 2018] obtained from the New European Wind Atlas (NEWA), a free, web-based application developed, owned and operated by the NEWA Consortium. For additional information see www.neweuropeanwindatlas.eu.
DOI: 10.5281/zenodo.6976297
title: EOOffshore: ASCAT Wind Data for the Irish Continental Shelf Region

description: EOOffshore is a Sustainable Energy Authority of Ireland (SEAI) funded project, which commenced in June 2020 in the School of Physics in University College Dublin (UCD). It presents a case study that demonstrates the utility of the Pangeo software ecosystem in the development of offshore wind speed and power density estimates, increasing wind measurement coverage of offshore renewable energy assessment areas in the Irish Continental Shelf (ICS) region. It has involved the creation of a new wind data catalog for this region, consisting of a collection of analysis-ready, cloud-optimized (ARCO) datasets featuring up to 21 years of available in situ, reanalysis, and satellite observation wind data products. The Copernicus Marine Service (CMS), or Copernicus Marine Environment Monitoring Service (CMEMS), is the marine component of the European Union Copernicus Earth Observation (EO) programme. It provides free, regular and systematic ocean data products on a global and regional scale. The CMS Surface Wind Thematic Assembly Center (Wind TAC) is responsible for the collection, processing, qualification and distribution of surface winds data products derived from scatterometer satellite missions, including near-real time (NRT) and delayed mode (REP) processing of global wind observations. These catalog data sets contain CMS wind speed and direction data products generated using the Advanced SCATterometer (ASCAT) instruments deployed on the Metop satellites. <em>eooffshore_ics_cmems_WIND_GLO_WIND_L3_REP_OBSERVATIONS_012_005_MetOp_ASCAT.zarr.tar.gz</em> 2007-2021 data products from the <em>Global Ocean Daily Gridded Reprocessed (REP) Level-3 Sea Surface Winds from Scatterometer</em><em> </em>data set. <em>eooffshore_ics_cmems_WIND_GLO_WIND_L3_NRT_OBSERVATIONS_012_002_MetOp_ASCAT.zarr.tar.gz</em> 2016-2021 data products from the <em>Global Ocean Daily Gridded Near Real Time (NRT) Level-3 Sea Surface Winds from Scatterometer</em><em> </em>data set. The products feature 0.125 degree grids, based on 12.5 km scatterometer swath observations, for all combinations of Metop A/B (REP) and Metop A/B/C (NRT) satellites and ASCending, DEScending passes. These ASCAT data sets were used in the EOOffshore project outputs presented (<em>Scalable Offshore Wind Analysis With Pangeo</em>) at the <em>Meeting Exascale Computing Challenges with Compression and Pangeo</em> 2022 EGU General Assembly session. Description and example usage of the ASCAT data sets in EOOffshore: ASCAT Wind Data for Irish Continental Shelf region Offshore Wind in Irish Areas Of Interest Comparison of Offshore Wind Speed Extrapolation and Power Density Estimation As requested by the Copernicus Marine Service Service Commitments and Licence, these Zarr stores were: Generated using E.U. Copernicus Marine Service Information; https://doi.org/10.48670/moi-00182; https://doi.org/10.48670/moi-00183;
DOI: 10.5281/zenodo.6976298
title: EOOffshore: ASCAT Wind Data for the Irish Continental Shelf Region

description: EOOffshore is a Sustainable Energy Authority of Ireland (SEAI) funded project, which commenced in June 2020 in the School of Physics in University College Dublin (UCD). It presents a case study that demonstrates the utility of the Pangeo software ecosystem in the development of offshore wind speed and power density estimates, increasing wind measurement coverage of offshore renewable energy assessment areas in the Irish Continental Shelf (ICS) region. It has involved the creation of a new wind data catalog for this region, consisting of a collection of analysis-ready, cloud-optimized (ARCO) datasets featuring up to 21 years of available in situ, reanalysis, and satellite observation wind data products. The Copernicus Marine Service (CMS), or Copernicus Marine Environment Monitoring Service (CMEMS), is the marine component of the European Union Copernicus Earth Observation (EO) programme. It provides free, regular and systematic ocean data products on a global and regional scale. The CMS Surface Wind Thematic Assembly Center (Wind TAC) is responsible for the collection, processing, qualification and distribution of surface winds data products derived from scatterometer satellite missions, including near-real time (NRT) and delayed mode (REP) processing of global wind observations. These catalog data sets contain CMS wind speed and direction data products generated using the Advanced SCATterometer (ASCAT) instruments deployed on the Metop satellites. <em>eooffshore_ics_cmems_WIND_GLO_WIND_L3_REP_OBSERVATIONS_012_005_MetOp_ASCAT.zarr.tar.gz</em> 2007-2021 data products from the <em>Global Ocean Daily Gridded Reprocessed (REP) Level-3 Sea Surface Winds from Scatterometer</em><em> </em>data set. <em>eooffshore_ics_cmems_WIND_GLO_WIND_L3_NRT_OBSERVATIONS_012_002_MetOp_ASCAT.zarr.tar.gz</em> 2016-2021 data products from the <em>Global Ocean Daily Gridded Near Real Time (NRT) Level-3 Sea Surface Winds from Scatterometer</em><em> </em>data set. The products feature 0.125 degree grids, based on 12.5 km scatterometer swath observations, for all combinations of Metop A/B (REP) and Metop A/B/C (NRT) satellites and ASCending, DEScending passes. These ASCAT data sets were used in the EOOffshore project outputs presented (<em>Scalable Offshore Wind Analysis With Pangeo</em>) at the <em>Meeting Exascale Computing Challenges with Compression and Pangeo</em> 2022 EGU General Assembly session. Description and example usage of the ASCAT data sets in EOOffshore: ASCAT Wind Data for Irish Continental Shelf region Offshore Wind in Irish Areas Of Interest Comparison of Offshore Wind Speed Extrapolation and Power Density Estimation As requested by the Copernicus Marine Service Service Commitments and Licence, these Zarr stores were: Generated using E.U. Copernicus Marine Service Information; https://doi.org/10.48670/moi-00182; https://doi.org/10.48670/moi-00183;