cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/kvhkef/xymxhx
title: KAIJOR18001A.pdf

description: :unav
DOI: 10.7910/dvn/oioxny/mz1isb
title: KAIJOR18002A.pdf

description: :unav
DOI: 10.25919/5dba8c6229864
title: Parkes observations for project P885 semester 2019OCTS_03

description: We propose to observe the magnetars 1E 1547.0-5408 and PSR J1622-4950 approximately weekly, to track their rotation, flux density, and polarisation, as we have been doing through this project. Also, as of late 2018, XTE J1810-197 is again a radio magnetar after 10 years dormant! Its chaotic rotation is better tracked in detail elsewhere, but weekly observations with the UWL receiver are already providing unique measurements of its radio spectrum and broad-band behaviour. Our observations provide an important window into remarkably dynamic magnetar magnetospheres, and characterise the conditions under which radio emission takes place therein, placing constraints on the emission mechanisms, which in at least some significant respects differ from those of ordinary pulsars.
DOI: 10.5281/zenodo.3523915
title: ENABLE.EU H2020 project dataset and questionnaire from a survey of households on energy use and energy choices

description: The ZIP archive includes the anonymized micro-data (survey results) and the respective questionnaire from the survey of households in eleven countries, conducted as part of the H2020 project "Enabling the Energy Union through understanding the drivers of individual and collective energy choices in Europe" (ENABLE.EU). The countries are: Bulgaria, France, Germany, Hungary, Italy, Norway, Poland, Serbia, Spain, Ukraine, and the United Kingdom. The dataset consists of 11 267 completed questionnaires (cases). The ZIP archive includes the following files:<br> • ENABLE.EU survey questionnaire for households in PDF format;<br> • ENABLE dataset from the survey of households in SAV format for IBM SPSS;<br> • ENABLE dataset from the survey of households in DTA format for STATA (the dataset is produced by simple export from SAV format and could contain some differences due to export limitations; If possible, we recommend to use the SAV-SPSS format);<br> • ENABLE dataset from the survey of households in XLSX format for Microsoft Excel, which includes also corresponding tables for the labels of questions and answers. For more information about the survey methodology and survey results please see: "D4.1 Final report on comparative sociological analysis of the household survey results" under the section Downloads / Deliverables at the ENABLE.EU web-site.
DOI: 10.5281/zenodo.3523916
title: ENABLE.EU H2020 project dataset and questionnaire from a survey of households on energy use and energy choices

description: The ZIP archive includes the anonymized micro-data (survey results) and the respective questionnaire from the survey of households in eleven countries, conducted as part of the H2020 project "Enabling the Energy Union through understanding the drivers of individual and collective energy choices in Europe" (ENABLE.EU). The countries are: Bulgaria, France, Germany, Hungary, Italy, Norway, Poland, Serbia, Spain, Ukraine, and the United Kingdom. The dataset consists of 11 267 completed questionnaires (cases). The ZIP archive includes the following files:<br> • ENABLE.EU survey questionnaire for households in PDF format;<br> • ENABLE dataset from the survey of households in SAV format for IBM SPSS;<br> • ENABLE dataset from the survey of households in DTA format for STATA (the dataset is produced by simple export from SAV format and could contain some differences due to export limitations; If possible, we recommend to use the SAV-SPSS format);<br> • ENABLE dataset from the survey of households in XLSX format for Microsoft Excel, which includes also corresponding tables for the labels of questions and answers. For more information about the survey methodology and survey results please see: "D4.1 Final report on comparative sociological analysis of the household survey results" under the section Downloads / Deliverables at the ENABLE.EU web-site.
DOI: 10.7910/dvn/suq3t0/spmltt
title: KAIJOR18002U.pdf

description: :unav
DOI: 10.25919/5dba51cd8922b
title: CCS - MV Bluefin 2017 V01 ROV

description: Project Overview: A range of solutions will be required to reach globally agreed emissions reductions targets for carbon dioxide (CO2). Carbon capture and storage (CCS) is part of the suite of technologies that will contribute to lowering atmospheric emissions of CO2 from Australia's energy system. There are a wide variety of technologies at various stages of technical and commercial readiness, with more development underway for cost effective CO2 capture and storage. Our research will provide new knowledge to inform cost-efficient measurement, monitoring and verification (MMV) of the environment of CCS projects in coastal waters. --o-- The SAAB Seaeye Falcon ROV was deployed five times on Tuesday 19th December 2017 to video the seafloor at various locations, with each deployment lasting approximately forty minutes. The ROV was deployed easily off the starboard of the vessel using the davit and pot hauler. The water was fairly turbid with poor visibility and surge current adding to some difficulty in piloting. As these were the first deployments of the ROV in an operational sense, a conservative approach was taken. Standard definition and High Definition video was captured of each deployment to allow future revision and study. A total of 350 GB of video was stored. The seafloor in the study areas was sparse with features well spread with notes taken of these features.
DOI: 10.15121/1572362
title: GeoRePORT Case Studies - Coso, WSMR, Dixie Valley, and Chena Hot Springs

description: The Geothermal Resource Portfolio Optimization and Reporting Technique (GeoRePORT) was developed with funding from the U.S. Department of Energy Geothermal Technologies Office to assist in identifying and pursuing long-term investment strategies through the development of a resource reporting protocol. GeoRePORT provides scientists and nonscientists a comprehensive and quantitative means of reporting: (1) features intrinsic to geothermal sites (project grade) and (2) maturity of the development (project readiness). Because geothermal feasibility is not determined by any single factor (e.g., temperature, permeability, permitting), a site?s project grade and readiness are evaluated on 12 attributes pertaining to geological, technical, or socio-economic feasibility. In this paper, we present case studies showing how GeoRePORT can be used to compare geological, technical, and socio-economic attributes between geothermal systems. The consistent and objective assessment protocols used in GeoRePORT allow for comparison of project attributes across unique locations and geological settings. GeoRePORT case studies presented here outline the geological, socio-economic, and technical features of four individual geothermal sites: Coso, Chena, Dixie Valley, and White Sands Missile Range. The case studies illustrate the usefulness of GeoRePORT in evaluating project risk and return, identifying gaps in reported data, evaluating R&D impact, and gathering insights on successes and failures as applicable to future projects.
DOI: 10.5281/zenodo.3523938
title: VPS: Excavating High-Level C++ Constructs from Low-Level Binaries to Protect Dynamic Dispatching - (Evaluation Data)

description: Evaluation data of the published paper: "VPS: Excavating High-Level C++ Constructs from Low-Level Binaries to Protect Dynamic Dispatching". The paper was published at the Annual Computer Security Applications Conference (ACSAC) 2019. The paper is available at: https://www.syssec.ruhr-uni-bochum.de/research/publications/VPS/ Ab­stract Po­ly­mor­phism and in­heri­t­an­ce make C++ sui­ta­ble for wri­ting com­plex soft­ware, but si­gni­fi­cant­ly in­crea­se the at­tack sur­face be­cau­se the im­ple­men­ta­ti­on re­li­es on vir­tu­al func­tion ta­bles (vta­bles). These vta­bles con­tain func­tion poin­ters that at­ta­ckers can po­ten­ti­al­ly hi­jack and in prac­tice, vta­ble hi­ja­cking is one of the most im­portant at­tack vec­tor for C++ bi­na­ries. In this paper, we pre­sent VTa­ble Poin­ter Se­pa­ra­ti­on (VPS), a prac­tical bi­na­ry-le­vel de­fen­se against vta­ble hi­ja­cking in C++ ap­p­li­ca­ti­ons. Un­li­ke pre­vious bi­na­ry-le­vel de­fen­ses, which rely on un­sound sta­tic ana­ly­ses to match clas­ses to vir­tu­al call­si­tes, VPS achie­ves a more ac­cu­ra­te pro­tec­tion by re­stric­ting vir­tu­al call­si­tes to va­lidly crea­ted ob­jects. More spe­ci­fi­cal­ly, VPS en­su­res that vir­tu­al call­si­tes can only use ob­jects crea­ted at valid ob­ject con­struc­tion sites, and only if those ob­jects can reach the call­si­te. Mo­re­over, VPS ex­pli­cit­ly prevents false po­si­ti­ves (fal­se­ly iden­ti­fied vir­tu­al call­si­tes) from brea­king the bi­na­ry, an issue exis­ting work does not hand­le cor­rect­ly or at all. We eva­lua­te the pro­to­ty­pe im­ple­men­ta­ti­on of VPS on a di­ver­se set of com­plex, re­al-world ap­p­li­ca­ti­ons (Mon­goDB, MySQL ser­ver, Node.js, SPEC CPU2017/CPU2006), show­ing that our ap­proach pro­tects on aver­a­ge 97.8% of all vir­tu­al call­si­tes in SPEC CPU2006 and 97.4% in SPEC CPU2017 (all C++ bench­marks), with a mo­de­ra­te per­for­mance over­head of 11% and 9% geo­me­an, re­spec­tive­ly. Fur­ther­mo­re, our eva­lua­ti­on re­veals 86 false ne­ga­ti­ves in VTV, a po­pu­lar sour­ce-ba­sed de­fen­se which is part of GCC.
DOI: 10.5281/zenodo.3523939
title: VPS: Excavating High-Level C++ Constructs from Low-Level Binaries to Protect Dynamic Dispatching - (Evaluation Data)

description: Evaluation data of the published paper: "VPS: Excavating High-Level C++ Constructs from Low-Level Binaries to Protect Dynamic Dispatching". The paper was published at the Annual Computer Security Applications Conference (ACSAC) 2019. The paper is available at: https://www.syssec.ruhr-uni-bochum.de/research/publications/VPS/ Ab­stract Po­ly­mor­phism and in­heri­t­an­ce make C++ sui­ta­ble for wri­ting com­plex soft­ware, but si­gni­fi­cant­ly in­crea­se the at­tack sur­face be­cau­se the im­ple­men­ta­ti­on re­li­es on vir­tu­al func­tion ta­bles (vta­bles). These vta­bles con­tain func­tion poin­ters that at­ta­ckers can po­ten­ti­al­ly hi­jack and in prac­tice, vta­ble hi­ja­cking is one of the most im­portant at­tack vec­tor for C++ bi­na­ries. In this paper, we pre­sent VTa­ble Poin­ter Se­pa­ra­ti­on (VPS), a prac­tical bi­na­ry-le­vel de­fen­se against vta­ble hi­ja­cking in C++ ap­p­li­ca­ti­ons. Un­li­ke pre­vious bi­na­ry-le­vel de­fen­ses, which rely on un­sound sta­tic ana­ly­ses to match clas­ses to vir­tu­al call­si­tes, VPS achie­ves a more ac­cu­ra­te pro­tec­tion by re­stric­ting vir­tu­al call­si­tes to va­lidly crea­ted ob­jects. More spe­ci­fi­cal­ly, VPS en­su­res that vir­tu­al call­si­tes can only use ob­jects crea­ted at valid ob­ject con­struc­tion sites, and only if those ob­jects can reach the call­si­te. Mo­re­over, VPS ex­pli­cit­ly prevents false po­si­ti­ves (fal­se­ly iden­ti­fied vir­tu­al call­si­tes) from brea­king the bi­na­ry, an issue exis­ting work does not hand­le cor­rect­ly or at all. We eva­lua­te the pro­to­ty­pe im­ple­men­ta­ti­on of VPS on a di­ver­se set of com­plex, re­al-world ap­p­li­ca­ti­ons (Mon­goDB, MySQL ser­ver, Node.js, SPEC CPU2017/CPU2006), show­ing that our ap­proach pro­tects on aver­a­ge 97.8% of all vir­tu­al call­si­tes in SPEC CPU2006 and 97.4% in SPEC CPU2017 (all C++ bench­marks), with a mo­de­ra­te per­for­mance over­head of 11% and 9% geo­me­an, re­spec­tive­ly. Fur­ther­mo­re, our eva­lua­ti­on re­veals 86 false ne­ga­ti­ves in VTV, a po­pu­lar sour­ce-ba­sed de­fen­se which is part of GCC.
DOI: 10.5519/qd.bmhnv7xt
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (7710 records)
DOI: 10.5281/zenodo.3523875
title: ENABLE.EU H2020 project dataset and questionnaire from a survey of business enterprises on energy use and energy choices

description: The ZIP archive includes the anonymized micro-data (survey results) and the respective questionnaire from the online survey among the business enterprises in eleven countries, conducted as part of the H2020 project "Enabling the Energy Union through understanding the drivers of individual and collective energy choices in Europe" (ENABLE.EU). The countries are: Bulgaria, France, Germany, Hungary, Italy, Norway, Poland, Serbia, Spain, Ukraine, and the United Kingdom. The dataset consists of 215 completed and 505 uncompleted questionnaires (cases). The ZIP archive includes the following files: ENABLE.EU survey questionnaire for business enterprises in PDF format; ENABLE dataset from the survey of business enterprises in SAV format for IBM SPSS; ENABLE dataset from the survey of business enterprises in DTA format for STATA (the dataset is produced by simple export from SAV format and could contain some differences due to export limitations; If possible, we recommend to use the SAV-SPSS format); ENABLE dataset from the survey of business enterprises in XLSX format for Microsoft Excel, which includes also corresponding tables for the labels of questions and answers. For more information about the survey methodology and survey results please see: D3.1 Final report on comparative sociological analysis of the business enterprises' survey under the section Downloads / Deliverables at the ENABLE.EU web-site.
DOI: 10.5281/zenodo.3523876
title: ENABLE.EU H2020 project dataset and questionnaire from a survey of business enterprises on energy use and energy choices

description: The ZIP archive includes the anonymized micro-data (survey results) and the respective questionnaire from the online survey among the business enterprises in eleven countries, conducted as part of the H2020 project "Enabling the Energy Union through understanding the drivers of individual and collective energy choices in Europe" (ENABLE.EU). The countries are: Bulgaria, France, Germany, Hungary, Italy, Norway, Poland, Serbia, Spain, Ukraine, and the United Kingdom. The dataset consists of 215 completed and 505 uncompleted questionnaires (cases). The ZIP archive includes the following files: ENABLE.EU survey questionnaire for business enterprises in PDF format; ENABLE dataset from the survey of business enterprises in SAV format for IBM SPSS; ENABLE dataset from the survey of business enterprises in DTA format for STATA (the dataset is produced by simple export from SAV format and could contain some differences due to export limitations; If possible, we recommend to use the SAV-SPSS format); ENABLE dataset from the survey of business enterprises in XLSX format for Microsoft Excel, which includes also corresponding tables for the labels of questions and answers. For more information about the survey methodology and survey results please see: D3.1 Final report on comparative sociological analysis of the business enterprises' survey under the section Downloads / Deliverables at the ENABLE.EU web-site.
DOI: 10.18112/openneuro.ds002289.v1.0.0
title: FSL open science dev dataset
DOI: 10.21227/r91s-mk24
title: Measurement data

description: measurements
DOI: 10.5281/zenodo.3522984
title: MesoWat_Source simulation: evaporation sources of the target Morocco 14-15Novembre 2002

description: The dataset contains the sources of surface and virga evaporation of the hourly rainfall during the heavy rainfall episode November 14-15, 2002 in Morocco (target region/hourly rainfall). The data corresponds to the output of the MesoWat_Source modeling system developed by the authors. The 3D position/concentration of the target vapor (evaporated from the sources) during its approach to the target region is also included. 1) * iee files: the data is in binary format (**iee files) and can be represented using the Grid Analysis and Visualization System (GrADS). GrADS is copyrighted under the terms of the GNU Public License and is freely distributed. 2) File "nov2002_Morocco_v3_pbl3.ctl: the Grads control file (data descriptor file). It contains in ASCII format the mapping of the binary data (*iee). It can be edited with Wordpad, Kwrite ... and has to be changed to point to the directory that contains the binary files (**iee) .This file also contains a description of all variables and units.
DOI: 10.17632/jfw3gb8s8z.1
title: Data for: Can China achieve its 2030 carbon emissions commitment? Scenario analysis based on an improved general regression neural network

description: It is the data collection of China's carbon emission influencing factors from 1990 to 2015.
DOI: 10.18112/openneuro.ds002290.v1.0.0
title: FSL open science dev dataset
DOI: 10.5278/ebe30ad7-292e-4217-9182-9cc4509723e2
title: Minimal data set for Domiciliary high-flow treatment in patients with severe COPD and chronic hypoxic failure: In whom can we reduce exacerbations and hospitalizations?
DOI: 10.5281/zenodo.3360502
title: The Structure of Sub-nm Platinum Clusters at Elevated Temperatures (Supplementary Information)

description: <strong><em>This dataset consists of raw data and denoised scanning transmission electron microscopy videos of sub-nm sized clusters of Pt on a carbon substrate. The data is used in the article "The Structure of Sub-nm Platinum Clusters at Elevated Temperatures" published in Angewandte Chemie International Edition, 2019, DOI:10.1002/anie.201911068</em></strong><strong><em> </em></strong> <strong>Video S1.</strong> A typical sub-nm amorphous cluster at room temperature. 0.5 nm scale bar. <strong>Video S2.</strong> Two typical crystalline sub-nm clusters at 350°C. 0.5 nm scale bar. <strong>Video S3. </strong>In this high-speed recording at 147 fps, the high beam current required for this fast imaging has suppressed the crystallinity of the cluster, despite the temperature of 350°C. 0.5 nm scale bar. <strong>Video S4. </strong>The unusually stable 13-atom cluster at the bottom forms an fcc cuboid, and can be seen rotating at three orientations, as shown by the inset model and in Fig. 3a-c. 0.5 nm scale bar. <strong>Video S5. </strong>This 15-atom cluster initially forms an fcc cube, then transforms into multiple hcp structures. (Recorded at 2 fps, but animated at 5x real time at 10fps). 0.5 nm scale bar. <strong>Video S6. </strong>The cluster in this movie is a 22-atom truncated rectangular cuboid. 0.5 nm scale bar. <strong>Video S7. </strong>In the center and bottom, two 6-atom octagons are rotating (shown in Fig. S4) as they add onto their larger neighboring clusters. The 13-atom cluster in the top forms an unusually stable fcc cuboctahedron from frame 219. 0.5 nm scale bar. <strong>Video S8. </strong>The cluster on the bottom left forms a fleeting icosahedron-like structure. 0.5 nm scale bar. <strong>Video S9. </strong>This cluster shows fcc structures, despite being recorded at 200°C, but with a very low beam dose. (Recorded at 2 fps, but animated at 5x real time at 10fps). 0.5 nm scale bar.
DOI: 10.5281/zenodo.3360503
title: The Structure of Sub-nm Platinum Clusters at Elevated Temperatures (Supplementary Information)

description: <strong><em>This dataset consists of raw data and denoised scanning transmission electron microscopy videos of sub-nm sized clusters of Pt on a carbon substrate. The data is used in the article "The Structure of Sub-nm Platinum Clusters at Elevated Temperatures" published in Angewandte Chemie International Edition, 2019, DOI:10.1002/anie.201911068</em></strong><strong><em> </em></strong> <strong>Video S1.</strong> A typical sub-nm amorphous cluster at room temperature. 0.5 nm scale bar. <strong>Video S2.</strong> Two typical crystalline sub-nm clusters at 350°C. 0.5 nm scale bar. <strong>Video S3. </strong>In this high-speed recording at 147 fps, the high beam current required for this fast imaging has suppressed the crystallinity of the cluster, despite the temperature of 350°C. 0.5 nm scale bar. <strong>Video S4. </strong>The unusually stable 13-atom cluster at the bottom forms an fcc cuboid, and can be seen rotating at three orientations, as shown by the inset model and in Fig. 3a-c. 0.5 nm scale bar. <strong>Video S5. </strong>This 15-atom cluster initially forms an fcc cube, then transforms into multiple hcp structures. (Recorded at 2 fps, but animated at 5x real time at 10fps). 0.5 nm scale bar. <strong>Video S6. </strong>The cluster in this movie is a 22-atom truncated rectangular cuboid. 0.5 nm scale bar. <strong>Video S7. </strong>In the center and bottom, two 6-atom octagons are rotating (shown in Fig. S4) as they add onto their larger neighboring clusters. The 13-atom cluster in the top forms an unusually stable fcc cuboctahedron from frame 219. 0.5 nm scale bar. <strong>Video S8. </strong>The cluster on the bottom left forms a fleeting icosahedron-like structure. 0.5 nm scale bar. <strong>Video S9. </strong>This cluster shows fcc structures, despite being recorded at 200°C, but with a very low beam dose. (Recorded at 2 fps, but animated at 5x real time at 10fps). 0.5 nm scale bar.
DOI: 10.5281/zenodo.3522985
title: MesoWat_Source simulation: evaporation sources of the target Morocco 14-15Novembre 2002

description: The dataset contains the sources of surface and virga evaporation of the hourly rainfall during the heavy rainfall episode November 14-15, 2002 in Morocco (target region/hourly rainfall). The data corresponds to the output of the MesoWat_Source modeling system developed by the authors. The 3D position/concentration of the target vapor (evaporated from the sources) during its approach to the target region is also included. 1) * iee files: the data is in binary format (**iee files) and can be represented using the Grid Analysis and Visualization System (GrADS). GrADS is copyrighted under the terms of the GNU Public License and is freely distributed. 2) File "nov2002_Morocco_v3_pbl3.ctl: the Grads control file (data descriptor file). It contains in ASCII format the mapping of the binary data (*iee). It can be edited with Wordpad, Kwrite ... and has to be changed to point to the directory that contains the binary files (**iee) .This file also contains a description of all variables and units.
DOI: 10.5281/zenodo.3523349
title: MesoWat_Source simulation: evaporation sources of the target (southern France and northern Italy) 10-14 October 2000

description: The dataset contains the sources of surface and virga evaporation of the hourly rainfall during the heavy rainfall episode October 10-14, 2002 in southern France and northern Italy, inside the latitude-longitude box: 41-48.6N and 1.875-15E. The data corresponds to the output of the MesoWat_Source modeling system developed by the authors. The 3D position/concentration of the target vapor (evaporated from the sources) during its approach to the target region is also included. 1) * iee files: the data is in binary format (**iee files) and can be represented using the Grid Analysis and Visualization System (GrADS). GrADS is copyrighted under the terms of the GNU Public License and is freely distributed. 2) File "oct2000_Turd0_v3_pbl3.ctl" is the Grads control file (data descriptor file). It contains in ASCII format the mapping of the binary data (*iee). It can be edited with Wordpad, Kwrite ... and it has to be changed to point to the directory that contains the binary files (**iee) .This file also contains a description of all variables and units.