cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.12751/g-node.7is9s6
title: Processing of visual and non-visual naturalistic spatial information in the "parahippocampal place area": from raw data to results

description: This repository contains the fMRI data, annotations, analysis scripts to generate the results, and results in Häusler C.O. & Hanke M. (submitted) as Datalad datasets (https://github.com/datalad).
description: IsReferencedBy: Häusler, C. O. & Hanke, M. (2016). Dataset 1 in: An annotation of cuts, depicted locations, and temporal progression in the motion picture "Forrest Gump". F1000Research. (https://doi.org/10.5256/f1000research.9536.d134823)
description: IsReferencedBy: Häusler, C. O., & Hanke, M. (2020). studyforrest-paper-speechannotation. OSF. (https://doi.org/10.17605/OSF.IO/GFRME)
description: IsReferencedBy: Hanke, M., Baumgartner, F.J., Ibe, P., Kaule, F.K., Pollmann; S., Speck, O., Zinke, W., & Stadler, J. (2014). A high-resolution 7-Tesla fMRI dataset from complex natural stimulation with an audio movie. OpenfMRI. (https://legacy.openfmri.org/dataset/ds000113)
description: IsReferencedBy: Hanke, M., Kottke, D., Iacovella, V., Hoffmann, M.B., Sengupta, A., Kaule, F.R., Häusler, C., Guntupalli, S.J., Baumgartner, F.J., & Stadler, J. (2016). Simultaneous fMRI/eyetracking while movie watching, plus visual localizers. OpenfMRI. (https://legacy.openfmri.org/dataset/ds000113d)
description: IsReferencedBy: Hanke, M. (2016). studyforrest.org Dataset. Pre-aligned MRI data. GitHub. (https://github.com/psychoinformatics-de/studyforrest-data-aligned)
description: IsReferencedBy: Sengupta, A., Kaule, F.R., Guntupalli, S.J., Hoffmann, M.B., Häusler, C., Sadler, J., & Hanke, M. (2016). studyforrest.org Dataset. Localization of higher-level visual ROIs. GitHub. (https://github.com/psychoinformatics-de/studyforrest-data-visualrois)
description: IsReferencedBy: Hanke, M. (2016). studyforrest.org Dataset. Reconstruction of cortical surfaces. GitHub. (https://github.com/psychoinformatics-de/studyforrest-data-freesurfer)
DOI: 10.25721/prrz-8639
title: Informations sur Rocagel de Laguiole
DOI: 10.25721/0pk3-0048
title: Informations sur Rocagel d'Espalion
DOI: 10.5281/zenodo.5745151
title: PASTIS-R PixelSet - Radar and Optical Satellite Image Time Series in Pixel-Set format

description: Extension of the PASTIS benchmark with radar and optical image time series.<br> In this version the satellite image time series are prepared in pixel-set format. See associated article for more details.
DOI: 10.5281/zenodo.5745150
title: PASTIS-R PixelSet - Radar and Optical Satellite Image Time Series in Pixel-Set format

description: Extension of the PASTIS benchmark with radar and optical image time series.<br> In this version the satellite image time series are prepared in pixel-set format. See associated article for more details.
DOI: 10.14459/2021mp1636761.001
title: TUM-FAÇADE

description: The dataset contains outdoor MLS point clouds with facade-level labels (i.e., windows, doors, balconies, moldings, etc.) for the TUM Campus area. • 14 annotated facades and 15 non-annotated for further benchmark extension or testing • 118 mln annotated points • in local and global coordinate reference system • settings file for adding your own data
DOI: 10.25721/v2s3-xh96
title: Informations sur d'anciens cabrettaires
DOI: 10.25721/n0ys-8h79
title: Répertoire des airs de danses du père de Monsieur Jacques Lacaze
DOI: 10.5517/ccdc.csd.cc1z8hqg
title: CCDC 1825426: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Allan J. McKinley, Marissa Melvin|2018|CSD Communication|||
description: Related Article: Marissa K. Melvin, Brian W. Skelton, Paul K. Eggers, Colin L. Raston|2022|CrystEngComm|24|57|doi:10.1039/D1CE01248G
DOI: 10.5517/ccdc.csd.cc1z8j2v
title: CCDC 1825437: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Allan J. McKinley, Marissa Melvin|2018|CSD Communication|||
description: Related Article: Marissa K. Melvin, Brian W. Skelton, Paul K. Eggers, Colin L. Raston|2022|CrystEngComm|24|57|doi:10.1039/D1CE01248G
DOI: 10.5517/ccdc.csd.cc1z8j3w
title: CCDC 1825438: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Allan J. McKinley, Marissa Melvin|2018|CSD Communication|||
description: Related Article: Marissa K. Melvin, Brian W. Skelton, Paul K. Eggers, Colin L. Raston|2022|CrystEngComm|24|57|doi:10.1039/D1CE01248G
DOI: 10.5517/ccdc.csd.cc254nzz
title: CCDC 2000491: Experimental Crystal Structure Determination

description: Related Article: Kulwinder Kaur, Raghubir Singh, Varinder Kaur, Neena Capalash|2022|New J.Chem.|46|148|doi:10.1039/D1NJ04612H
DOI: 10.5517/ccdc.csd.cc254p23
title: CCDC 2000494: Experimental Crystal Structure Determination

description: Related Article: Kulwinder Kaur, Raghubir Singh, Varinder Kaur, Neena Capalash|2022|New J.Chem.|46|148|doi:10.1039/D1NJ04612H
DOI: 10.5517/ccdc.csd.cc254p56
title: CCDC 2000497: Experimental Crystal Structure Determination

description: Related Article: Kulwinder Kaur, Raghubir Singh, Varinder Kaur, Neena Capalash|2022|New J.Chem.|46|148|doi:10.1039/D1NJ04612H
DOI: 10.5517/ccdc.csd.cc271jwq
title: CCDC 2057063: Experimental Crystal Structure Determination

description: Related Article: Maciej Bujak, Hans-Georg Stammler, Yury V. Vishnevskiy, Norbert W. Mitzel|2022|CrystEngComm|24|70|doi:10.1039/D1CE01268A
DOI: 10.5517/ccdc.csd.cc271jxr
title: CCDC 2057064: Experimental Crystal Structure Determination

description: Related Article: Maciej Bujak, Hans-Georg Stammler, Yury V. Vishnevskiy, Norbert W. Mitzel|2022|CrystEngComm|24|70|doi:10.1039/D1CE01268A
DOI: 10.5517/ccdc.csd.cc271jys
title: CCDC 2057065: Experimental Crystal Structure Determination

description: Related Article: Maciej Bujak, Hans-Georg Stammler, Yury V. Vishnevskiy, Norbert W. Mitzel|2022|CrystEngComm|24|70|doi:10.1039/D1CE01268A
DOI: 10.5517/ccdc.csd.cc271jzt
title: CCDC 2057066: Experimental Crystal Structure Determination

description: Related Article: Maciej Bujak, Hans-Georg Stammler, Yury V. Vishnevskiy, Norbert W. Mitzel|2022|CrystEngComm|24|70|doi:10.1039/D1CE01268A
DOI: 10.5517/ccdc.csd.cc271k0w
title: CCDC 2057067: Experimental Crystal Structure Determination

description: Related Article: Maciej Bujak, Hans-Georg Stammler, Yury V. Vishnevskiy, Norbert W. Mitzel|2022|CrystEngComm|24|70|doi:10.1039/D1CE01268A
DOI: 10.5517/ccdc.csd.cc271k1x
title: CCDC 2057068: Experimental Crystal Structure Determination

description: Related Article: Maciej Bujak, Hans-Georg Stammler, Yury V. Vishnevskiy, Norbert W. Mitzel|2022|CrystEngComm|24|70|doi:10.1039/D1CE01268A
DOI: 10.5517/ccdc.csd.cc271k2y
title: CCDC 2057069: Experimental Crystal Structure Determination

description: Related Article: Maciej Bujak, Hans-Georg Stammler, Yury V. Vishnevskiy, Norbert W. Mitzel|2022|CrystEngComm|24|70|doi:10.1039/D1CE01268A
DOI: 10.5517/ccdc.csd.cc271k3z
title: CCDC 2057070: Experimental Crystal Structure Determination

description: Related Article: Maciej Bujak, Hans-Georg Stammler, Yury V. Vishnevskiy, Norbert W. Mitzel|2022|CrystEngComm|24|70|doi:10.1039/D1CE01268A
DOI: 10.5517/ccdc.csd.cc271k40
title: CCDC 2057071: Experimental Crystal Structure Determination

description: Related Article: Maciej Bujak, Hans-Georg Stammler, Yury V. Vishnevskiy, Norbert W. Mitzel|2022|CrystEngComm|24|70|doi:10.1039/D1CE01268A
DOI: 10.5517/ccdc.csd.cc271k51
title: CCDC 2057072: Experimental Crystal Structure Determination

description: Related Article: Maciej Bujak, Hans-Georg Stammler, Yury V. Vishnevskiy, Norbert W. Mitzel|2022|CrystEngComm|24|70|doi:10.1039/D1CE01268A
DOI: 10.5517/ccdc.csd.cc271k62
title: CCDC 2057073: Experimental Crystal Structure Determination

description: Related Article: Maciej Bujak, Hans-Georg Stammler, Yury V. Vishnevskiy, Norbert W. Mitzel|2022|CrystEngComm|24|70|doi:10.1039/D1CE01268A
DOI: 10.5517/ccdc.csd.cc271k73
title: CCDC 2057074: Experimental Crystal Structure Determination

description: Related Article: Maciej Bujak, Hans-Georg Stammler, Yury V. Vishnevskiy, Norbert W. Mitzel|2022|CrystEngComm|24|70|doi:10.1039/D1CE01268A
DOI: 10.5517/ccdc.csd.cc271k84
title: CCDC 2057075: Experimental Crystal Structure Determination

description: Related Article: Maciej Bujak, Hans-Georg Stammler, Yury V. Vishnevskiy, Norbert W. Mitzel|2022|CrystEngComm|24|70|doi:10.1039/D1CE01268A
DOI: 10.5517/ccdc.csd.cc271k95
title: CCDC 2057076: Experimental Crystal Structure Determination

description: Related Article: Maciej Bujak, Hans-Georg Stammler, Yury V. Vishnevskiy, Norbert W. Mitzel|2022|CrystEngComm|24|70|doi:10.1039/D1CE01268A
DOI: 10.5517/ccdc.csd.cc265nwy
title: CCDC 2031240: Experimental Crystal Structure Determination

description: Related Article: Yu-Qiao Su, Ruo-Tong Wang, Olga A. Blatova, Yong-Sheng Shi, Guang-Hua Cui|2022|CrystEngComm|24|182|doi:10.1039/D1CE01447A
DOI: 10.6084/m9.figshare.12937685.v1
title: CSF rhinorrhoea after endonasal intervention to the anterior skull base (CRANIAL): proposal for a prospective multicentre observational cohort study

description: The endonasal transsphenoidal approach (TSA) has emerged as the preferred approach in order to treat pituitary adenoma and related sellar pathologies. The recently adopted expanded endonasal approach (EEA) has improved access to the ventral skull base whilst retaining the principles of minimally invasive surgery. Despite the advantages these approaches offer, cerebrospinal fluid (CSF) rhinorrhoea remains a common complication. There is currently a lack of comparative evidence to guide the best choice of skull base reconstruction, resulting in considerable heterogeneity of current practice. This study aims to determine: (1) the scope of the methods of skull base repair; and (2) the corresponding rates of postoperative CSF rhinorrhoea in contemporary neurosurgical practice in the UK and Ireland. We will adopt a multicentre, prospective, observational cohort design. All neurosurgical units in the UK and Ireland performing the relevant surgeries (TSA and EEA) will be eligible to participate. Eligible cases will be prospectively recruited over 6 months with 6 months of postoperative follow-up. Data points collected will include: demographics, tumour characteristics, operative data), and postoperative outcomes. Primary outcomes include skull base repair technique and CSF rhinorrhoea (biochemically confirmed and/or requiring intervention) rates. Pooled data will be analysed using descriptive statistics. All skull base repair methods used and CSF leak rates for TSA and EEA will be compared against rates listed in the literature. Formal institutional ethical board review was not required owing to the nature of the study – this was confirmed with the Health Research Authority, UK. The need for this multicentre, prospective, observational study is highlighted by the relative paucity of literature and the resultant lack of consensus on the topic. It is hoped that the results will give insight into contemporary practice in the UK and Ireland and will inform future studies.
DOI: 10.6084/m9.figshare.12937685
title: CSF rhinorrhoea after endonasal intervention to the anterior skull base (CRANIAL): proposal for a prospective multicentre observational cohort study

description: The endonasal transsphenoidal approach (TSA) has emerged as the preferred approach in order to treat pituitary adenoma and related sellar pathologies. The recently adopted expanded endonasal approach (EEA) has improved access to the ventral skull base whilst retaining the principles of minimally invasive surgery. Despite the advantages these approaches offer, cerebrospinal fluid (CSF) rhinorrhoea remains a common complication. There is currently a lack of comparative evidence to guide the best choice of skull base reconstruction, resulting in considerable heterogeneity of current practice. This study aims to determine: (1) the scope of the methods of skull base repair; and (2) the corresponding rates of postoperative CSF rhinorrhoea in contemporary neurosurgical practice in the UK and Ireland. We will adopt a multicentre, prospective, observational cohort design. All neurosurgical units in the UK and Ireland performing the relevant surgeries (TSA and EEA) will be eligible to participate. Eligible cases will be prospectively recruited over 6 months with 6 months of postoperative follow-up. Data points collected will include: demographics, tumour characteristics, operative data), and postoperative outcomes. Primary outcomes include skull base repair technique and CSF rhinorrhoea (biochemically confirmed and/or requiring intervention) rates. Pooled data will be analysed using descriptive statistics. All skull base repair methods used and CSF leak rates for TSA and EEA will be compared against rates listed in the literature. Formal institutional ethical board review was not required owing to the nature of the study – this was confirmed with the Health Research Authority, UK. The need for this multicentre, prospective, observational study is highlighted by the relative paucity of literature and the resultant lack of consensus on the topic. It is hoped that the results will give insight into contemporary practice in the UK and Ireland and will inform future studies.
DOI: 10.21223/indaqm/wudv1h
title: Late-Blight-Severity-Detection-AI-main.rar

description: :unav
DOI: 10.21223/indaqm/nyusma
title: 20191129_40M_RGBNRE_CUTSP_mergepca.TIF

description: :unav
DOI: 10.21223/indaqm/jhkxip
title: 20191129_50m_RGBNRE_mergepca.tif

description: :unav
DOI: 10.21223/indaqm/n9yild
title: 20191218_40m_RGBNRE_CUTSP_mergepca.tif

description: :unav
DOI: 10.21223/indaqm/wuwbah
title: 20191218_50m_RGBNRE_mergepca.tif

description: :unav
DOI: 10.21223/indaqm/aeykhd
title: Data_train.rar

description: :unav
DOI: 10.21223/indaqm/teay7n
title: 29112021_ReporteLateBlightDetection.pdf

description: :unav
DOI: 10.21223/indaqm/2wabfj
title: Machine Learning for Late Blight Detection.pdf

description: :unav
DOI: 10.21223/indaqm
title: Evaluating Late Blight Severity using Artificial Intelligence

description: It is an open-source algorithm to classify ten states of the late blight disease severity in two potato trials using Artificial Intelligent techniques based on Machine Learning and Deep Learning. The classification is performed using UAV's multispectral images with the support of visual disease severity estimation performed by field experts, these images were acquired at International Potato Center (CIP) fields in 2019.
DOI: 10.25721/3p8k-x304
title: Bourrée "Ound oneren gorda"
DOI: 10.48370/ofd/xvvceb/ppuwv2
title: HMW_Senecio_inaequidens_DC._H_2171.jpg

description: :unav
DOI: 10.48370/ofd/xvvceb
title: Starzec nierównozębny (Senecio inaequidens DC.), 2171

description: Herbarium
DOI: 10.48370/ofd/9raxei/0eq8t7
title: HMW_Senecio_inaequidens_DC._H_2138.jpg

description: :unav
DOI: 10.48370/ofd/9raxei
title: Starzec nierównozębny (Senecio inaequidens DC.), 2138

description: Herbarium
DOI: 10.25721/pzhm-fg33
title: Bourrée "La Morralhada"
DOI: 10.5281/zenodo.5793670
title: Night Population map

description: Night Population map is a layer in support to Area Of Interest definition for an earthquake event. It provides an estimation of a population exposed to earthquake event in the examined area, based on the population occupancy during night hours.
DOI: 10.5281/zenodo.5793669
title: Night Population map

description: Night Population map is a layer in support to Area Of Interest definition for an earthquake event. It provides an estimation of a population exposed to earthquake event in the examined area, based on the population occupancy during night hours.
DOI: 10.48370/ofd/5dviea/j8sxi5
title: HMW_Senecio_fluviatilis_Wallr._H_07742.jpg

description: :unav
DOI: 10.48370/ofd/5dviea
title: Starzec nadrzeczny (Senecio fluviatilis Wallr.), 7742

description: Herbarium
DOI: 10.4121/16843183
title: PL-SWAT-51_20: a high-resolution simulated water balance and streamflow data set for 1951-2020 for the territory of Poland

description: The PL+ SWAT model hydrology dataset was derived for years 1951-2020 at sub-basin and reach level, with a daily time step. It includes model outputs for 4381 subbasins and river reaches covering the Poland territory and parts of the neighbouring countries from which water drains to Poland. At sub-basin level, the dataset contains average daily water balance components including precipitation total, snowfall, snowmelt, evapotranspiration (actual and potential), surface runoff, percolation, groundwater recharge, groundwater flow, tile flow and water yield (all components in mm/day) and soil water (mm) were included. At reach level it includes average daily streamflow values (m<sup>3</sup>/s).<br>The applied model was extensively calibrated and validated following a two-stage, multi-site calibration approach for 88 gauging stations across Poland for the period 2000-2019. The simulations showed satisfactory performance with a median Kling-Gupta efficiency of 0.73 and 0.69 in the calibration and validation period, respectively.
DOI: 10.4121/16843183.v1
title: PL-SWAT-51_20: a high-resolution simulated water balance and streamflow data set for 1951-2020 for the territory of Poland

description: The PL+ SWAT model hydrology dataset was derived for years 1951-2020 at sub-basin and reach level, with a daily time step. It includes model outputs for 4381 subbasins and river reaches covering the Poland territory and parts of the neighbouring countries from which water drains to Poland. At sub-basin level, the dataset contains average daily water balance components including precipitation total, snowfall, snowmelt, evapotranspiration (actual and potential), surface runoff, percolation, groundwater recharge, groundwater flow, tile flow and water yield (all components in mm/day) and soil water (mm) were included. At reach level it includes average daily streamflow values (m<sup>3</sup>/s).<br>The applied model was extensively calibrated and validated following a two-stage, multi-site calibration approach for 88 gauging stations across Poland for the period 2000-2019. The simulations showed satisfactory performance with a median Kling-Gupta efficiency of 0.73 and 0.69 in the calibration and validation period, respectively.
DOI: 10.6084/m9.figshare.17297348
title: Data on intertidal and terrestrial temperature in winter for Tor Bay Provincial Park

description: This data set describes daily minimum temperature in a wave-sheltered intertidal habitat and on nearby land and sea surface temperature in that intertidal habitat measured between 1 December 2007 and 4 April 2008 at Tor Bay Provincial Park, Nova Scotia, Canada.
DOI: 10.48370/ofd/fi8tbh/hm7fqy
title: HMW_Senecio_congestus_(R._Br.)_DC._H_6927.jpg

description: :unav
DOI: 10.48370/ofd/fi8tbh
title: Starzec błotny (Senecio congestus (R. Br.) DC.), 6927

description: Herbarium
DOI: 10.48370/ofd/02cbir/eaqiso
title: HMW_Senecio_congestus_(R._Br.)_DC._H_6926.jpg

description: :unav
DOI: 10.48370/ofd/02cbir
title: Starzec błotny (Senecio congestus (R. Br.) DC.), 6926

description: Herbarium
DOI: 10.48370/ofd/hyvsw5/dnayi1
title: HMW_Senecio_congestus_(R._Br.)_DC._H_5912.jpg

description: :unav
DOI: 10.48370/ofd/hyvsw5
title: Starzec błotny (Senecio congestus (R. Br.) DC.), 5912

description: Herbarium
DOI: 10.5281/zenodo.5789430
title: Meteorological indicator for selected European NUTS 3 regions

description: 13 datasets have been concatenated into one dataset for the purpose to predict future temperature scenario from 13 European countries. The 13 datasets have been published by Angelova, Denitsa; Blanco, Norman (2020), “Meteorological indicator dataset for selected European NUTS 3 regions ”, Mendeley Data, V3, doi: 10.17632/sf9x4h5jfk.3 Further details at https://data.mendeley.com/datasets/sf9x4h5jfk/3
DOI: 10.5281/zenodo.5789429
title: Meteorological indicator for selected European NUTS 3 regions

description: 13 datasets have been concatenated into one dataset for the purpose to predict future temperature scenario from 13 European countries. The 13 datasets have been published by Angelova, Denitsa; Blanco, Norman (2020), “Meteorological indicator dataset for selected European NUTS 3 regions ”, Mendeley Data, V3, doi: 10.17632/sf9x4h5jfk.3 Further details at https://data.mendeley.com/datasets/sf9x4h5jfk/3
DOI: 10.48370/ofd/qwwobv/wvmtcg
title: HMW_Senecio_congestus_(R._Br.)_DC._H_4890.jpg

description: :unav
DOI: 10.48370/ofd/qwwobv
title: Starzec błotny (Senecio congestus (R. Br.) DC.), 4890

description: Herbarium
DOI: 10.5281/zenodo.5244794
title: 87002.17.01 Verhüttungsplatz südlich Ruine Rottenburg

description: The zip contains the complete documentation for the Federal Monuments Office (BDA) of the excavation 87002.17.01 at the melting site near Rottenburg. In the file "metadata.txt" the identifier for the different folders and files inside the zip-folder can be found. This investigations were done in the frame of the DACH-Project "Prehistoric copper production in the eastern and central Alps" I-1670-G19 situated at the University of Innsbruck and founded by the Austrian Science Fund (FWF), the German Research Foundation (DFG) and the Swiss National Science Fund (SNF).
DOI: 10.5281/zenodo.5244793
title: 87002.17.01 Verhüttungsplatz südlich Ruine Rottenburg

description: The zip contains the complete documentation for the Federal Monuments Office (BDA) of the excavation 87002.17.01 at the melting site near Rottenburg. In the file "metadata.txt" the identifier for the different folders and files inside the zip-folder can be found. This investigations were done in the frame of the DACH-Project "Prehistoric copper production in the eastern and central Alps" I-1670-G19 situated at the University of Innsbruck and founded by the Austrian Science Fund (FWF), the German Research Foundation (DFG) and the Swiss National Science Fund (SNF).
DOI: 10.48370/ofd/lctvyq/2znkaq
title: HMW_Senecio_barbaraeifolius_(Krock.)_Wimm._&_Grab._H_06656.jpg

description: :unav
DOI: 10.48370/ofd/lctvyq
title: Starzec gorczycznikowy (Senecio barbaraeifolius (Krock.) Wimm. Grab.), 6656

description: Herbarium
DOI: 10.5281/zenodo.5243123
title: 87007.16.01 Bergbaurevier Schwaz-Brixlegg

description: The zip contains the complete documentation for the Federal Monuments Office (BDA) of the excavation 87007.16.01 in Schwaz-Brixlegg. In the file "metadata.txt" the identifier for the different folders and files inside the zip-folder can be found. This investigations were done in the frame of the DACH-Project "Prehistoric copper production in the eastern and central Alps" I-1670-G19 situated at the University of Innsbruck and founded by the Austrian Science Fund (FWF), the German Research Foundation (DFG) and the Swiss National Science Fund (SNF).
DOI: 10.5281/zenodo.5243122
title: 87007.16.01 Bergbaurevier Schwaz-Brixlegg

description: The zip contains the complete documentation for the Federal Monuments Office (BDA) of the excavation 87007.16.01 in Schwaz-Brixlegg. In the file "metadata.txt" the identifier for the different folders and files inside the zip-folder can be found. This investigations were done in the frame of the DACH-Project "Prehistoric copper production in the eastern and central Alps" I-1670-G19 situated at the University of Innsbruck and founded by the Austrian Science Fund (FWF), the German Research Foundation (DFG) and the Swiss National Science Fund (SNF).
DOI: 10.6084/m9.figshare.17297477
title: SAC 2022 Dataset

description: This is the dataset that accompanies the SAC 2022 paper titled: "Security Risks of Porting C Programs to WebAssembly".<br>It consists of the source files, native binaries, and WebAssembly binaries discussed in the paper.<br>