cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccwhjgb
title: CCDC 819282: Experimental Crystal Structure Determination

description: Related Article: P.Bourosh, O.Ciobanike, V.Lozan, I.Bulkhak|2012|Koord.Khim.|38|484|
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.cc1ppsjp
title: CCDC 1570073: Experimental Crystal Structure Determination

description: Related Article: Bin Zhu, Jian-Rong Wang, Qi Zhang, Meiqi Li, Chunyang Guo, Guobin Ren, Xuefeng Mei|2018|Cryst.Growth Des.|18|4701|doi:10.1021/acs.cgd.8b00684
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.cc2fwv39
title: CCDC 2261081: Experimental Crystal Structure Determination

description: Related Article: Wei-Ming Liao|2023|CSD Communication|||
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.cc2g6gcj
title: CCDC 2270327: Experimental Crystal Structure Determination

description: Related Article: Patricia Rose H. Ayson, Seth N. Brown|2023|Chem.Commun.|59|9618|doi:10.1039/D3CC02943C
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.cc2g6gdk
title: CCDC 2270328: Experimental Crystal Structure Determination

description: Related Article: Patricia Rose H. Ayson, Seth N. Brown|2023|Chem.Commun.|59|9618|doi:10.1039/D3CC02943C
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.cc2g6gfl
title: CCDC 2270329: Experimental Crystal Structure Determination

description: Related Article: Patricia Rose H. Ayson, Seth N. Brown|2023|Chem.Commun.|59|9618|doi:10.1039/D3CC02943C
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: 10.26050/wdcc/ar6.c6dabcbcm
title: IPCC DDC: BCC BCC-CSM2MR model output prepared for CMIP6 DAMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.DAMIP.BCC.BCC-CSM2-MR' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The BCC-CSM 2 MR climate model, released in 2017, includes the following components: atmos: BCC_AGCM3_MR (T106; 320 x 160 longitude/latitude; 46 levels; top level 1.46 hPa), land: BCC_AVIM2, ocean: MOM4 (1/3 deg 10S-10N, 1/3-1 deg 10-30 N/S, and 1 deg in high latitudes; 360 x 232 longitude/latitude; 40 levels; top grid cell 0-10 m), seaIce: SIS2. The model was run by the Beijing Climate Center, Beijing 100081, China (BCC) in native nominal resolutions: atmos: 100 km, land: 100 km, ocean: 50 km, seaIce: 50 km.
DOI: 10.5281/zenodo.8243267
title: ELITE surface longwave net radiation: global 1km Swath 5-min SLNR - Aqua (2010.01-03)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has seven products, including land surface temperature (LST), narrowband (spectral) emissivity, broadband emissivity (BBE), surface longwave upwelling radiation (SLUR), surface longwave downward radiation (SLDR), surface longwave net radiation (SLNR), and outgoing longwave radiation (OLR). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE global 1km instantaneous SLNR product ranging from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS, Terra and Aqua) data using the algorithm developed by Cheng et al. (2016), Cheng et al. (2017), and Yang and Cheng. (2020). This is the ELITE SLNR (Aqua) product in 2010.01-2010.03. Please <strong><em>click here</em></strong> to download the ELITE SLNR (Aqua) product in 2010.04-2010.06. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2010 Spatial Resolution: 1 km Temporal Resolution: 5min/instantaneous Data Format: hdf Scale: 0.05 Offset: -1000 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., & Liang, S. (2016). Global estimates for high-spatial-resolution clear-sky land surface upwelling longwave radiation from MODIS data. IEEE Transactions on Geoscience and Remote Sensing, <em>54</em>(7), 4115-4129. Cheng J, Liang S, Wang W, et al. An efficient hybrid method for estimating clear‐sky surface downward longwave radiation from MODIS data. Journal of Geophysical Research: Atmospheres, 2017, 122(5): 2616-2630. Yang, F., & Cheng, J. (2020). A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters. Remote Sensing of Environment, 248, 111972. If you have any questions, please contact Prof. Jie Cheng (Jie_Cheng@bnu.edu.cn).
DOI: 10.5281/zenodo.6980699
title: Molecular dynamics simulation based analysis of celecoxib-polymer interactions

description: This dataset contains scripts and coordinate files for running and analysing molecular dynamics simulations to investigate celecoxib-polymer interactions in aqueous solution. Trajectory files (stripped of water and ions) are included. The associated study is described in: " Comparative analysis of drug-salt-polymer interactions by experiment and molecular simulation improves biopharmaceutical performance", Sumit Mukesh, Goutam Mukherjee, Ridhima Singh, Nathan Steenbuck, Carolina Demidova, Prachi Joshi, Abhay T. Sangamwar, Rebecca C. Wade, submitted.
description: This work was supported by the German Federal Ministry for Education and Research (BMBF) FKZ 01DQ19004, the Klaus Tschira Foundation, and Baden-Württemberg bwHPC and German Research Foundation (DFG) grant INST 35/1134-1 FUGG for computing resources.
description: {"references": ["Sumit Mukesh, Goutam Mukherjee, Ridhima Singh, Nathan Steenbuck, Carolina Demidova, Prachi Joshi, Abhay T. Sangamwar, Rebecca C. Wade, \" Comparative analysis of drug-salt-polymer interactions by experiment and molecular simulation improves biopharmaceutical performance\", submitted."]}
DOI: 10.5281/zenodo.6980700
title: Molecular dynamics simulation based analysis of celecoxib-polymer interactions

description: This dataset contains scripts and coordinate files for running and analysing molecular dynamics simulations to investigate celecoxib-polymer interactions in aqueous solution. Trajectory files (stripped of water and ions) are also included. The associated study is described in: " Comparative analysis of drug-salt-polymer interactions by experiment and molecular simulation improves biopharmaceutical performance", Sumit Mukesh, Goutam Mukherjee, Ridhima Singh, Nathan Steenbuck, Carolina Demidova, Prachi Joshi, Abhay T. Sangamwar, Rebecca C. Wade, submitted.
description: This work was supported by the German Federal Ministry for Education and Research (BMBF) 01DQ19004, the Klaus Tschira Foundation, and Baden-Württemberg bwHPC and German Research Foundation (DFG) grant INST 35/1134-1 FUGG for computing resources.
description: {"references": ["Sumit Mukesh, Goutam Mukherjee, Ridhima Singh, Nathan Steenbuck, Carolina Demidova, Prachi Joshi, Abhay T. Sangamwar, Rebecca C. Wade, \" Comparative analysis of drug-salt-polymer interactions by experiment and molecular simulation improves biopharmaceutical performance\", submitted."]}
DOI: 10.5281/zenodo.8228709
title: Molecular dynamics simulation based analysis of celecoxib-polymer interactions

description: This dataset contains scripts and coordinate files for running and analysing molecular dynamics simulations to investigate celecoxib-polymer interactions in aqueous solution. Trajectory files (stripped of water and ions) are included. The associated study is described in: " Comparative analysis of drug-salt-polymer interactions by experiment and molecular simulation improves biopharmaceutical performance", Sumit Mukesh, Goutam Mukherjee, Ridhima Singh, Nathan Steenbuck, Carolina Demidova, Prachi Joshi, Abhay T. Sangamwar, Rebecca C. Wade, submitted.
description: This work was supported by the German Federal Ministry for Education and Research (BMBF) FKZ 01DQ19004, the Klaus Tschira Foundation, and Baden-Württemberg bwHPC and German Research Foundation (DFG) grant INST 35/1134-1 FUGG for computing resources.
description: {"references": ["Sumit Mukesh, Goutam Mukherjee, Ridhima Singh, Nathan Steenbuck, Carolina Demidova, Prachi Joshi, Abhay T. Sangamwar, Rebecca C. Wade, \" Comparative analysis of drug-salt-polymer interactions by experiment and molecular simulation improves biopharmaceutical performance\", submitted."]}
DOI: 10.26050/wdcc/ar6.c6dacasfgo
title: IPCC DDC: CAS FGOALS-g3 model output prepared for CMIP6 DAMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.DAMIP.CAS.FGOALS-g3' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The FGOALS-g3 climate model, released in 2017, includes the following components: atmos: GAMIL3 (180 x 80 longitude/latitude; 26 levels; top level 2.19hPa), land: CAS-LSM, ocean: LICOM3.0 (LICOM3.0, tripolar primarily 1deg; 360 x 218 longitude/latitude; 30 levels; top grid cell 0-10 m), seaIce: CICE4.0. The model was run by the Chinese Academy of Sciences, Beijing 100029, China (CAS) in native nominal resolutions: atmos: 250 km, land: 250 km, ocean: 100 km, seaIce: 100 km.
DOI: 10.25403/upresearchdata.23922096.v1
title: Interviews with the Polish immigrants to the Vaal Triangle in the 1980s

description: This document include data that describes the migrants who came to South Africa in the 1980's. It also include the type of methodology used to conduct the data which was oral interviews and the rationale behind doing so. The document contains notes and transcripts of the interviews which were conducted for the research.
DOI: 10.25403/upresearchdata.23922096
title: Interviews with the Polish immigrants to the Vaal Triangle in the 1980s

description: This document include data that describes the migrants who came to South Africa in the 1980's. It also include the type of methodology used to conduct the data which was oral interviews and the rationale behind doing so. The document contains notes and transcripts of the interviews which were conducted for the research.
DOI: 10.11583/dtu.23097002
title: Data subset for road condition modelling - reference data

description: The subset contains selected standard road condition data from the LiRA project. The subset contains standard road condition measurements from vehicles operated by the Danish Road Directorate (DRD). The surveying included: (i) P79 Profilometer – a van equipped with a beam hosting 25 point lasers that measure longitudinal and transverse profiles; (ii) ARAN9000 – a multi-functional road scanning vehicle that quantifies road defects and distresses using cameras and a Laser Cracking Measurement System (LCMS); and (iii) VIAFRIK – a skid resistance device complying with CEN/TS 15901-5 standard. The reference data (.csv) is stored in a flat format; each column represents a road condition parameter, GPS information or timestamp, while each row represents a new record in time or space. <br> This item is part of the collection "Live Road Assessment Custom Dataset (LiRA-CD)", https://doi.org/10.11583/DTU.c.6659909
DOI: 10.5517/ccrchm6
title: CCDC 696248: Experimental Crystal Structure Determination

description: Related Article: Ying-hong Liu, Xin-fang Zhang, Peng-tao Ma|2008|Huaxue Yanjiu|19|18-4|
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: 10.11583/dtu.23192909
title: Data subset for road condition modelling - car sensor data

description: The subset contains selected car sensor data from the LiRA project. The in-vehicle sensor data (.hdf5) were collected with a AutoPi Telematics Unit (3rd generation) connected to the vehicle's controller area network (CAN) bus. This unit includes a single-board Raspberry Pi computer with added GPS and accelerometer modules. The car sensor data is stored in a structured format (.hdf5) in five levels; (i) at the top level is route name (i.e., ‘CPH1’, ‘CPH6’, ‘M3’ or ‘M13’), (ii) device/vehicle (in this case on GM for GreenMobility cars), (iii) trip number or task id, (iv) pass number, and (v) GPS and sensor signals. <br> This item is part of the collection "Live Road Assessment Custom Dataset (LiRA-CD)", https://doi.org/10.11583/DTU.c.6659909 <br>
DOI: 10.11583/dtu.23192909.v1
title: Data subset for road condition modelling - car sensor data

description: The subset contains selected car sensor data from the LiRA project. The in-vehicle sensor data (.hdf5) were collected with a AutoPi Telematics Unit (3rd generation) connected to the vehicle's controller area network (CAN) bus. This unit includes a single-board Raspberry Pi computer with added GPS and accelerometer modules. The car sensor data is stored in a structured format (.hdf5) in five levels; (i) at the top level is route name (i.e., ‘CPH1’, ‘CPH6’, ‘M3’ or ‘M13’), (ii) device/vehicle (in this case on GM for GreenMobility cars), (iii) trip number or task id, (iv) pass number, and (v) GPS and sensor signals. <br> This item is part of the collection "Live Road Assessment Custom Dataset (LiRA-CD)", https://doi.org/10.11583/DTU.c.6659909 <br>
DOI: 10.11583/dtu.23096600
title: Data subset for road condition modelling - platoon friction test

description: This data subset is part of a the LiRA-CD collection The subset contains standard road condition measurements from the VIAFRIK vehicle – a skid resistance device complying with CEN/TS 15901-5 standard. The friction data (.csv) is stored in a flat format; each column represents a road condition parameter, GPS information or timestamp, while each row represents a new record in space. The subset also contains car sensor data from the AutoPi and the vehicle CAN bus driving behind the VIAFRIK vehicle (on a wet surface). The car data (.txt) is stored in a flat format; each column represents a car sensor signal, GPS information or timestamp, while each row represents a new record in time. <br> This item is part of the collection "Live Road Assessment Custom Dataset (LiRA-CD)", https://doi.org/10.11583/DTU.c.6659909
DOI: 10.11583/dtu.23096600.v1
title: Data subset for road condition modelling - platoon friction test

description: This data subset is part of a the LiRA-CD collection The subset contains standard road condition measurements from the VIAFRIK vehicle – a skid resistance device complying with CEN/TS 15901-5 standard. The friction data (.csv) is stored in a flat format; each column represents a road condition parameter, GPS information or timestamp, while each row represents a new record in space. The subset also contains car sensor data from the AutoPi and the vehicle CAN bus driving behind the VIAFRIK vehicle (on a wet surface). The car data (.txt) is stored in a flat format; each column represents a car sensor signal, GPS information or timestamp, while each row represents a new record in time. <br> This item is part of the collection "Live Road Assessment Custom Dataset (LiRA-CD)", https://doi.org/10.11583/DTU.c.6659909
DOI: 10.5281/zenodo.3667677
title: A catchment-based lake and river routing product for hydrologic and land surface models in Canada

description: This catchment-based lake and river routing product combines catchment polygons from the HydroBASINS product (Lehner and Grill, 2013) and lakes from the HydroLAKES product (Messager et al., 2016) to obtain pan-Canadian routing products that consider lakes. In total, ten routing products are developed within this work, using five watershed delineations (HydroBASINS product from level 8 to level 12) and two lake-selection strategies (all lakes in HydroLAKES and only lakes with an area larger than 1 km<sup>2</sup>). All routing products cover all of Canada. This catchment-based lake and river routing product combines catchment polygons from the HydroBASINS product (Lehner and Grill, 2013) and lakes from the HydroLAKES product (Messager et al., 2016) to obtain pan-Canadian routing products that consider lakes. In total, ten routing products are developed within this work, using five watershed delineations (HydroBASINS product from level 8 to level 12) and two lake-selection strategies (all lakes in HydroLAKES and only lakes with an area larger than 1 km<sup>2</sup>). All routing products cover all of Canada. Please refer to the <em>"Readme routing projects.pdf"</em> for a more detailed description of the routing products as well as the introduction of an example. The example files can be found in <em>"Example.zip"</em> while the actual routing products are available in <em>"Routing_product.zip"</em>. The dataset is described in the following publication. Anyone downloading and using this data should cite both the Zenodo doi and the paper.: Han, M., Mai, J., Tolson, B. A., Craig, J. R., Gaborit, É., Liu, H., & Lee, K. (2020). Subwatershed-based lake and river routing products for hydrologic and land surface models applied over Canada. Canadian Water Resources Journal, 0(0), 1–15. http://doi.org/10.1080/07011784.2020.1772116 This research was undertaken thanks in part to funding from the Canada First Research Excellence Fund provided to the Lake Futures project of the Global Water Futures Project. The work was made possible by the facilities of the Shared Hierarchical Academic Research Computing Network (SHARCNET; www.sharcnet.ca) and Compute/Calcul Canada. For any questions please contact: Ming Han (ming.han@uwaterloo.ca)
DOI: 10.18112/openneuro.ds001619.v1.0.1
title: Voluntary Task Switching Reward
DOI: 10.14457/tu.res.2009.271
title: การเปิดรับข่าวสาร ความรู้และทัศนคติของประชาชนในเขตกรุงเทพมหานครที่มีต่อการปฏิบัติงานของศูนย์เฝ้าระวังทางวัฒนธรรม กระทรวงวัฒนธรรม
DOI: 10.14457/tu.res.2008.138
title: การแสวงหาข้อมูลข่าวสารในโฆษณาออนไลน์เพื่อประกอบการตัดสินใจซื้อ
DOI: 10.14457/tu.the.2010.808
title: การจัดกิจกรรมเพื่อการท่องเที่ยวเชิงวัฒนธรรม กรณีศึกษา ย่านท่าช้าง-ท่าพระจันทร์
DOI: 10.14457/tu.the.2010.809
title: บทแปลเรื่อง "กฎทางธุรกิจที่มิได้ปรากฏเป็นลายลักษณ์อักษร" โดย ดับเบิ้ลยู เจ คิง ฉบับปรับปรุงและเพิ่มเติมโดย เจมส์ จี สเกคูน พร้อมบทวิเคราะห์
DOI: 10.25917/5b3c2e51c22b3
title: Audiovisual health promotion messages targeting falls prevention
DOI: 10.25917/5b3dc6bb7bb70
title: Techno-economic simulation modelling to forecast customer PV-battery economic incentives
DOI: 10.25917/5b57e2644e9a1
title: Ethnographic interview participants and photographic images of Tsumago Post Town, Japan
DOI: 10.25917/5b62c188c34a1
title: Viewpoints of pedestrians with and without cognitive impairment on shared zones and zebra crossings.
DOI: 10.25917/5b69534b232c1
title: Optimised recovery of double-base smokeless powder residues analysed by TV-SPME/GC-MS
DOI: 10.25917/5b6955df3b4c4
title: Improving the confidence of ?questioned versus known" fibre comparisons using microspectrophotometry and chemometrics.
DOI: 10.25917/5bee6a54e0ead
title: ATR-FTIR spectroscopic studies of polymer-based identification cards
DOI: 10.25917/5bf501113063f
title: Research data for journal paper "Pent up energy: evolutionary market pressures from residential PV battery investments in Australia"