cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4011976
title: 3D model of a box-type structure under a small cairn near the Bear Trap in Northwest Greenland

description: This dataset consists of files that can be used to view a high-resolution 3D model of a box-type structure under a small cairn in the vicinity of ‘The Bear Trap’. The interior of the stone box appears to have been completely empty. Similar small stone box structures have been identified and discussed by Schedermann (e.g. 1990: 159) for Arctic Small Tool tradition (ASTt) sites on Skraeling Island and by McGee (1979) for Port Refuge in the Canadian High Arctic. Similar and equally enigmatic features have also been described by Knuth (1966/67: 203) for far north and northeast Greenland. They have been alternatively attributed to numerous PalaeoEskimo cultural complexes, but without dated materials from the site current attribution of the feature’s function, significance or date are not possible. The 3D model was created from 280 digital photographs that were processed usingAgisoft Metashape Pro v1.7. More information is provided in processing report and the readme file that accompanies this dataset. The image survey was conducted as part of the Vaigat Iceberg-Microbial Oil Degradation and Archaeological Heritage Investigation (VIMOA) project, which was funded by the Danish Centre for Marine Research and supported by the Arctic Research Centre at Aarhus University, the National Museum of Denmark, the Greenland Institute of Natural Resources, and The Greenland National Museum and Archives in Nuuk. Proper permits for the survey were obtained in advance from the Greenland National Museum and Archives in Nuuk. Walsh et al. (2020) provides an overview of the archaeological surveys conducted during the VIMOA project and Walsh et al. (in prep) provides further details specific to The Bear Trap and surrounding archaeological contexts. Knuth, Egil. (1966/67) The ruins of the Musk Ox Highway. <em>Folk</em> 8-9: 191-219. McGee, Robert. (1979) <em>The Palaeoeskimo occupations at Port Refuge, High Arctic Canada</em>. National Museum of Man Mercury Series. Archaeological Survey of Canada Paper No. 92. Ottawa: National Museums of Canada. Schledermann, Peter. (1990) <em>Crossroads to Greenland: 3000 years of prehistory in the Eastern High Arctic</em>.Calgary: The Arctic Institute of North America of the University of Calgary. Walsh et al. (2020) The VIMOA project and archaeological heritage in the Nuussuaq Peninsula of north-west Greenland. <em>Antiquity</em> 94:e6 doi:10.15184/aqy.2019.230 Walsh, Matthew J., Daniel F. Carlson, Pelle Tejsner, and Steffen Thomsen. The Bear Trap: Reinvestigating a unique stone structure on the northwest tip of the Nuussuaq Peninsula, Greenland. Submitted to <em>Arctic Anthropology</em>
DOI: 10.5281/zenodo.5596358
title: A 3-D model of The Bear Trap: A unique stone structure on the northwest tip of the Nuussuaq Peninsula, Greenland

description: This dataset consists of five files. The .obj, .jpg., and .mtl files can be used to view a high-resolution 3D mesh model of ‘The Bear Trap’, a unique Norse ruin at the western end of the Nuussuaq Peninsula in NW Greenland (also called ‘Bjørnefælden’ in Danish, and ‘Putdlagssuaq’ or ‘The Great Trap’ Greenlandic Kalaallisut). The .laz file contains the dense cloud. The .avi shows a flyover video of the 3D model. The 3D model was created from 1686 photographs that were processed using Structure from Motion Multiview Stereo photogrammetry software (in this case Agisoft Metashape Pro v1.7; Linux Ubuntu). A 24.3 megapixel Sony a5100 APS-C mirrorless camera fitted with a 24 mm lens was used to acquire ground-level imagery of the structure. The image alignment or bundle adjustment was performed using ‘High’ accuracy, a key point limit of 60000 and no tie point limit. The sparse point cloud was scaled using three markers with known dimensions that were placed in the area of interest, and which remained stationary throughout the entire photo survey. The dense point cloud was computed using the ‘High’ setting. The dense point cloud was then used to compute the mesh model using the ‘High’ setting. Instructions are provided in the readme file that accompanies this dataset. The image survey of the Bear Trap was conducted as part of the Vaigat Iceberg-Microbial Oil Degradation and Archaeological Heritage Investigation (VIMOA) project, which was funded by the Danish Centre for Marine Research and supported by the Arctic Research Centre at Aarhus University, the National Museum of Denmark, the Greenland Institute of Natural Resources, and The Greenland National Museum and Archives in Nuuk. Permits for the survey were obtained in advance from the Greenland National Museum and Archives in Nuuk. Walsh et al. (2020) provides an overview of the archaeological surveys conducted during the VIMOA project and Walsh et al. (submitted) provides further details specific to The Bear Trap and surrounding archaeological contexts. Walsh et al. (2020) The VIMOA project and archaeological heritage in the Nuussuaq Peninsula of north-west Greenland. <em>Antiquity</em> 94:e6 doi:10.15184/aqy.2019.230 Walsh, Matthew J., Daniel F. Carlson, Pelle Tejsner, and Steffen Thomsen. The Bear Trap: Reinvestigating a unique stone structure on the northwest tip of the Nuussuaq Peninsula, Greenland. Manuscript submitted to <em>Arctic Anthropology</em>
description: {"references": ["Walsh et al. (2020) The VIMOA project and archaeological heritage in the Nuussuaq Peninsula of north-west Greenland. Antiquity 94:e6 doi:10.15184/aqy.2019.230"]}
DOI: 10.5281/zenodo.3980540
title: A 3-D model of The Bear Trap: A unique stone structure on the northwest tip of the Nuussuaq Peninsula, Greenland

description: This dataset consists of five files. The .obj, .jpg., and .mtl files can be used to view a high-resolution 3D mesh model of ‘The Bear Trap’, a unique Norse ruin at the western end of the Nuussuaq Peninsula in NW Greenland (also called ‘Bjørnefælden’ in Danish, and ‘Putdlagssuaq’ or ‘The Great Trap’ Greenlandic Kalaallisut). The .laz file contains the dense cloud. The .avi shows a flyover video of the 3D model. The 3D model was created from 1686 photographs that were processed using Structure from Motion Multiview Stereo photogrammetry software (in this case Agisoft Metashape Pro v1.7; Linux Ubuntu). A 24.3 megapixel Sony a5100 APS-C mirrorless camera fitted with a 24 mm lens was used to acquire ground-level imagery of the structure. The image alignment or bundle adjustment was performed using ‘High’ accuracy, a key point limit of 60000 and no tie point limit. The sparse point cloud was scaled using three markers with known dimensions that were placed in the area of interest, and which remained stationary throughout the entire photo survey. The dense point cloud was computed using the ‘High’ setting. The dense point cloud was then used to compute the mesh model using the ‘High’ setting. Instructions are provided in the readme file that accompanies this dataset. The image survey of the Bear Trap was conducted as part of the Vaigat Iceberg-Microbial Oil Degradation and Archaeological Heritage Investigation (VIMOA) project, which was funded by the Danish Centre for Marine Research and supported by the Arctic Research Centre at Aarhus University, the National Museum of Denmark, the Greenland Institute of Natural Resources, and The Greenland National Museum and Archives in Nuuk. Permits for the survey were obtained in advance from the Greenland National Museum and Archives in Nuuk. Walsh et al. (2020) provides an overview of the archaeological surveys conducted during the VIMOA project and Walsh et al. (submitted) provides further details specific to The Bear Trap and surrounding archaeological contexts. Walsh et al. (2020) The VIMOA project and archaeological heritage in the Nuussuaq Peninsula of north-west Greenland. <em>Antiquity</em> 94:e6 doi:10.15184/aqy.2019.230 Walsh, Matthew J., Daniel F. Carlson, Pelle Tejsner, and Steffen Thomsen. The Bear Trap: Reinvestigating a unique stone structure on the northwest tip of the Nuussuaq Peninsula, Greenland. Manuscript submitted to <em>Arctic Anthropology</em>
description: {"references": ["Walsh et al. (2020) The VIMOA project and archaeological heritage in the Nuussuaq Peninsula of north-west Greenland. Antiquity 94:e6 doi:10.15184/aqy.2019.230"]}
DOI: 10.5281/zenodo.5596168
title: Orthomosaics and digital elevation model of the 'Bear Trap' - a Norse ruin in Northwest Greenland

description: This dataset consists of a digital elevation model (DEM) and an orthomosaic of the ‘Bear Trap’ (also called ‘Bjørnefælden’ in Danish, and ‘Putdlagssuaq’ or ‘The Great Trap’ Greenlandic Kalaallisut), a Norse ruin at the western end of the Nuussuaq Peninsula in NW Greenland. Images comprise 1032 low-altitude aerial images acquired from an unoccupied aerial vehicle (DJI Phantom 3 Standard). These images were processed using Agisoft Metashape Pro (v1.7; Linux Ubuntu) following the USGS protocols for processing imagery in coastal areas. The locations of 8 ground control points (GCPs) were surveyed with a high accuracy global navigation satellite system (GNSS) receiver (Emlid Reach). The base station and rover data were processed using the Emlid distribution of the free RTKLib software (https://docs.emlid.com/reach/common/tutorials/gps-post-processing/). Geoid height was computed using the online UNAVCO Geoid Height Calculator (https://www.unavco.org/software/geodetic-utilities/geoid-height-calculator/geoid-height-calculator.html). During the image alignment step in Metashape, the ‘High’ accuracy setting and key point and tie point limits of 60000 and 0 were used. Generic and reference preselection were not used. Gradual selection was used to remove tie points that exceeded thresholds for the projection accuracy, reconstruction uncertainty, and reprojection error and the intrinsic camera parameters were computed for each camera calibration group. GCPs were then imported and placed in each image. The dense point cloud was then computed using the ‘Ultra High’ quality setting, followed by the DEM and orthomosaic. The resolution of the orthomosaic is 1.83 cm/pixel. 5 cm resolution orthomosaic and DEM were also exported for use in QGIS. A complete file list is provided in the README file that accompanies this dataset. The image survey was conducted as part of the Vaigat Iceberg-Microbial Oil Degradation and Archaeological Heritage Investigation (VIMOA) project, which was funded by the Danish Centre for Marine Research and supported by the Arctic Research Centre at Aarhus University, in affiliation with the National Museum of Denmark, the Greenland Institute of Natural Resources, and The Greenland National Museum and Archives in Nuuk. Proper archaeological permits for the survey were obtained in advance from the Greenland National Museum and Archives in Nuuk. Walsh et al. (2020) provide an overview of the archaeological surveys conducted during the VIMOA project and Walsh et al. (in prep) provide further details specific to The Bear Trap and surrounding archaeological contexts observed during the 2019 survey. Walsh et al. (2020) The VIMOA project and archaeological heritage in the Nuussuaq Peninsula of north-west Greenland. <em>Antiquity</em> 94:e6 doi:10.15184/aqy.2019.230 Walsh, Matthew J., Daniel F. Carlson, Pelle Tejsner, and Steffen Thomsen. The Bear Trap: Reinvestigating a unique stone structure on the northwest tip of the Nuussuaq Peninsula, Greenland. Submitted to <em>Arctic Anthropology</em>.
DOI: 10.5281/zenodo.4013257
title: Orthomosaics and digital elevation model of the 'Bear Trap' - a Norse ruin in Northwest Greenland

description: This dataset consists of a digital elevation model (DEM) and an orthomosaic of the ‘Bear Trap’ (also called ‘Bjørnefælden’ in Danish, and ‘Putdlagssuaq’ or ‘The Great Trap’ Greenlandic Kalaallisut), a Norse ruin at the western end of the Nuussuaq Peninsula in NW Greenland. Images comprise 1032 low-altitude aerial images acquired from an unoccupied aerial vehicle (DJI Phantom 3 Standard). These images were processed using Agisoft Metashape Pro (v1.7; Linux Ubuntu) following the USGS protocols for processing imagery in coastal areas. The locations of 8 ground control points (GCPs) were surveyed with a high accuracy global navigation satellite system (GNSS) receiver (Emlid Reach). The base station and rover data were processed using the Emlid distribution of the free RTKLib software (https://docs.emlid.com/reach/common/tutorials/gps-post-processing/). Geoid height was computed using the online UNAVCO Geoid Height Calculator (https://www.unavco.org/software/geodetic-utilities/geoid-height-calculator/geoid-height-calculator.html). During the image alignment step in Metashape, the ‘High’ accuracy setting and key point and tie point limits of 60000 and 0 were used. Generic and reference preselection were not used. Gradual selection was used to remove tie points that exceeded thresholds for the projection accuracy, reconstruction uncertainty, and reprojection error and the intrinsic camera parameters were computed for each camera calibration group. GCPs were then imported and placed in each image. The dense point cloud was then computed using the ‘Ultra High’ quality setting, followed by the DEM and orthomosaic. The resolution of the orthomosaic is 1.83 cm/pixel. 5 cm resolution orthomosaic and DEM were also exported for use in QGIS. A complete file list is provided in the README file that accompanies this dataset. The image survey was conducted as part of the Vaigat Iceberg-Microbial Oil Degradation and Archaeological Heritage Investigation (VIMOA) project, which was funded by the Danish Centre for Marine Research and supported by the Arctic Research Centre at Aarhus University, in affiliation with the National Museum of Denmark, the Greenland Institute of Natural Resources, and The Greenland National Museum and Archives in Nuuk. Proper archaeological permits for the survey were obtained in advance from the Greenland National Museum and Archives in Nuuk. Walsh et al. (2020) provide an overview of the archaeological surveys conducted during the VIMOA project and Walsh et al. (in prep) provide further details specific to The Bear Trap and surrounding archaeological contexts observed during the 2019 survey. Walsh et al. (2020) The VIMOA project and archaeological heritage in the Nuussuaq Peninsula of north-west Greenland. <em>Antiquity</em> 94:e6 doi:10.15184/aqy.2019.230 Walsh, Matthew J., Daniel F. Carlson, Pelle Tejsner, and Steffen Thomsen. The Bear Trap: Reinvestigating a unique stone structure on the northwest tip of the Nuussuaq Peninsula, Greenland. Submitted to <em>Arctic Anthropology</em>.
DOI: 10.5257/iea/et/2021
title: Energy Technology Research Development (2021 Edition)

description: Energy Technology Research Development includes data on budgets in national currencies (in nominal and real prices), in USD (at latest year prices and exchange rates), in USD (at latest year prices and PPP) and in Euros (at latest year prices and exchange rates). Also, the database shows RD budgets and calculating indicators. The government energy technology RD budgets are submitted on an annual questionnaire every year to the IEA Secretariat by appropriate Administrations in national currencies. The exchange rates are published in Main Economic Indicators (OECD) and the GDP and GDP deflators come from the National Accounts (OECD).
DOI: 10.25721/cavd-k525
title: Dansez donc ou n'dansez pas
DOI: 10.25721/ydks-bc02
title: Le jour du lavage
DOI: 10.5281/zenodo.5636037
title: Trialstreamer data

description: Trialstreamer annotated collection of RCTs. This respository contains baseline files (large), and subsequent updates (daily for PubMed, weekly for ICTRP).
DOI: 10.25721/xgdq-zt17
title: Information sur la fête de la Grande Charrue
DOI: 10.17028/rd.lboro.16912381
title: Supplementary Information files for Zinc removal and recovery from industrial wastewater with a microbial fuel cell: Experimental investigation and theoretical prediction

description: Supplementary Information files for Zinc removal and recovery from industrial wastewater with a microbial fuel cell: Experimental investigation and theoretical prediction<br>Microbial fuel cells (MFCs) that simultaneously remove organic contaminants and recovering metals provide a potential route for industry to adopt clean technologies. In this work, two goals were set: to study the feasibility of zinc removal from industrial effluents using MFCs and to understand the removal process by using reaction rate models. The removal of Zn2+ in MFC was over 96% for synthetic and industrial samples with initial Zn2+ concentrations less than 2.0 mM after 22 h of operation. However, only 83 and 42% of the zinc recovered from synthetic and industrial samples, respectively, was attached on the cathode surface of the MFCs. The results marked the domination of electroprecipitation rather than the electrodeposition process in the industrial samples. Energy dispersive X-ray (EDX) analysis showed that the recovered compound contained not only Zn but also O, evidence that Zn(OH)2 could be formed. The removal of Zn2+ in the MFC followed a mechanism where oxygen was reduced to hydroxide before reacting with Zn2+. Nernst equations and rate law expressions were derived to understand the mechanism and used to estimate the Zn2+ concentration and removal efficiency. The zero-, first- and second-order rate equations successfully fitted the data, predicted the final Zn2+ removal efficiency, and suggested that possible mechanistic reactions occurred in the electrolysis cell (direct reduction), MFC (O2 reduction), and control (chemisorption) modes. The half-life, t1/2, of the Zn2+ removal reaction using synthetic and industrial samples was estimated to be 7.0 and 2.7 h, respectively. The t1/2 values of the controls (without the power input from the MFC bioanode) were much slower and were recorded as 21.5 and 7.3 h for synthetic and industrial samples, respectively. The study suggests that MFCs can act as a sustainable and environmentally friendly technology for heavy metal removal without electrical energy input or the addition of chemicals.<br>
DOI: 10.17028/rd.lboro.16912381.v1
title: Supplementary Information files for Zinc removal and recovery from industrial wastewater with a microbial fuel cell: Experimental investigation and theoretical prediction

description: Supplementary Information files for Zinc removal and recovery from industrial wastewater with a microbial fuel cell: Experimental investigation and theoretical prediction<br>Microbial fuel cells (MFCs) that simultaneously remove organic contaminants and recovering metals provide a potential route for industry to adopt clean technologies. In this work, two goals were set: to study the feasibility of zinc removal from industrial effluents using MFCs and to understand the removal process by using reaction rate models. The removal of Zn2+ in MFC was over 96% for synthetic and industrial samples with initial Zn2+ concentrations less than 2.0 mM after 22 h of operation. However, only 83 and 42% of the zinc recovered from synthetic and industrial samples, respectively, was attached on the cathode surface of the MFCs. The results marked the domination of electroprecipitation rather than the electrodeposition process in the industrial samples. Energy dispersive X-ray (EDX) analysis showed that the recovered compound contained not only Zn but also O, evidence that Zn(OH)2 could be formed. The removal of Zn2+ in the MFC followed a mechanism where oxygen was reduced to hydroxide before reacting with Zn2+. Nernst equations and rate law expressions were derived to understand the mechanism and used to estimate the Zn2+ concentration and removal efficiency. The zero-, first- and second-order rate equations successfully fitted the data, predicted the final Zn2+ removal efficiency, and suggested that possible mechanistic reactions occurred in the electrolysis cell (direct reduction), MFC (O2 reduction), and control (chemisorption) modes. The half-life, t1/2, of the Zn2+ removal reaction using synthetic and industrial samples was estimated to be 7.0 and 2.7 h, respectively. The t1/2 values of the controls (without the power input from the MFC bioanode) were much slower and were recorded as 21.5 and 7.3 h for synthetic and industrial samples, respectively. The study suggests that MFCs can act as a sustainable and environmentally friendly technology for heavy metal removal without electrical energy input or the addition of chemicals.<br>
DOI: 10.25721/kfz3-bc38
title: Information sur la "clameur de Haro"
DOI: 10.25345/c57v9q
title: MassIVE MSV000088292 - Pyrrolizidine alkaloids of Chinese medicines screening-datasets massive upload-2021-11-1
title: Screening and identifying PAs of TCMs based on UHPLC-Q-Exactive mass spectrometry
DOI: 10.25721/cej2-fc60
title: Information sur les "moulins" à effrayer les oiseaux
DOI: 10.25721/zb2a-kk88
title: Information sur les "clapes" pour effrayer les oiseaux (clappers)
DOI: 10.25721/r9mw-5d82
title: Information sur les mirlitons faits dans un peigne
DOI: 10.5281/zenodo.5633942
title: Transparent Exopolymer Particles (TEP), Coomassie Stainable Particles (CSP) and accompanying variables in seawater of the NW Mediterranean

description: Concentrations of Transparent Exopolymer Particles (TEP) , Coomassie Stainable Particles (CSP), nitrate, silicate, phosphate, chlorophyll a (chla), particulate organic carbon (POC) and nitrogen (PON), seawater temperature, salinity, water transparency, solar radiation, flow cytometry-determined abundances of Prochlorococcus, Synechococcus, picoeukaryotes, nanoeukaryotes, prokaryotic heterotrophs (PHA), and microscopy-detrrmined abundances of dinoflagellates, diatoms, coccolithophores and other microalgae in the NW Mediterranean. Sampling sites are the Blanes Bay Microbial Observatory (monthly sampling between 22/06/2015 and 10/10/2017) and the L'Estartit Oceanographic Station (monthly sampling between 25/06/2015 and 11/10/2017) in the coastal NW Mediterranean, plus the MIFASOL cruise (October 2015) onboard the RV Garcia del Cid in the NW Mediterranean.
description: {"references": ["Zamanillo et al. (2021). Seasonal variability of transparent exopolymer particles (TEP) and Coomassie stainable particles (CSP) in the coastal NW Mediterranean Sea. Elementa, in press"]}
DOI: 10.5281/zenodo.5633941
title: Transparent Exopolymer Particles (TEP), Coomassie Stainable Particles (CSP) and accompanying variables in seawater of the NW Mediterranean

description: Concentrations of Transparent Exopolymer Particles (TEP) , Coomassie Stainable Particles (CSP), nitrate, silicate, phosphate, chlorophyll a (chla), particulate organic carbon (POC) and nitrogen (PON), seawater temperature, salinity, water transparency, solar radiation, flow cytometry-determined abundances of Prochlorococcus, Synechococcus, picoeukaryotes, nanoeukaryotes, prokaryotic heterotrophs (PHA), and microscopy-detrrmined abundances of dinoflagellates, diatoms, coccolithophores and other microalgae in the NW Mediterranean. Sampling sites are the Blanes Bay Microbial Observatory (monthly sampling between 22/06/2015 and 10/10/2017) and the L'Estartit Oceanographic Station (monthly sampling between 25/06/2015 and 11/10/2017) in the coastal NW Mediterranean, plus the MIFASOL cruise (October 2015) onboard the RV Garcia del Cid in the NW Mediterranean.
description: {"references": ["Zamanillo et al. (2021). Seasonal variability of transparent exopolymer particles (TEP) and Coomassie stainable particles (CSP) in the coastal NW Mediterranean Sea. Elementa, in press"]}
DOI: 10.25721/0va5-4a92
title: Information sur le "Saint-Martin's, fife and drum band"
DOI: 10.18746/bmth.data.00000166
title: Fair resource allocation algorithms (MLF-DRS, FFMRA, H-FFFMRA): The output and source codes for the experiments
DOI: 10.6084/m9.figshare.16912483
title: Supplementary Table 1

description: Diabetes Cohorts screened for CEL mutations.
DOI: 10.6084/m9.figshare.16912483.v1
title: Supplementary Table 1

description: Diabetes Cohorts screened for CEL mutations.
DOI: 10.25721/eaa3-0f11
title: Information sur les "Brass band" de l'île "Borjes Brigade" de Saint-Sampson Vale
DOI: 10.25721/btd6-3r36
title: Sarnia chérie