cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4460655
title: Preliminary SEA for the Petroleum Sector in Zambia (DVD-contents)

description: Preliminary SEA for the Petroleum Sector in Zambia<br> - - - - - - - - - - - - - - - - - - - - - - - - - - <br> This DVD contains * The original word- and pdf-files for the Preliminary SEA in Zambia. * Map files (/maps) * Figures (figures) * Literature (literature) * Tools (tools) Folder : F i g u r e s<br> - - - - - - - - - - - - Original files for figures used in the produced documents. Folder : L i t e r a t u r e<br> - - - - - - - - - - - - - - - - Contains background material used in the process of this SEA. Some of it has been referenced in the document. Folder : T o o l s<br> - - - - - - - - - - Contains some open source GIS tools suitable for installation on a desktop computer for viewing the included GIS files. Folder : M a p s<br> - - - - - - - - - Folder contains folders with GIS tool project files, map exports (PFD/EMF files) and other technical background files. Users without access to map tools should focus on the map exports folder. <br> We refer to readme.txt files within the folders mentioned above for more details on their contents. For an understanding of the context of the resources on this DVD we refer to the report available in both word- and pdf-format on this DVD. <br> The provided data is provided as-is. It should not be forwarded outside the context of this preliminary SEA. When in doubt with regards to ownership issues relevant authorities should be contacted. Mr. Kennedy A. Liyungu Director, Geological Survey Department
description: Unzipped size is around 2.7 GB.
DOI: 10.5281/zenodo.4553489
title: Dataset

description: The dataset includes : the results of the prequestionnaire and postquestionnaire on teachers acceptance of educational robotics (Q1_pre and Q1_post) the results of the prequestionnaire and postquestionnaire on teachers self-efficacy for teaching robotics (Q2_pre and Q2_post) demographic data on age, previous experience with robotics and interests.
DOI: 10.5281/zenodo.4553488
title: Dataset

description: The dataset includes : the results of the prequestionnaire and postquestionnaire on teachers acceptance of educational robotics (Q1_pre and Q1_post) the results of the prequestionnaire and postquestionnaire on teachers self-efficacy for teaching robotics (Q2_pre and Q2_post) demographic data on age, previous experience with robotics and interests.
DOI: 10.5281/zenodo.4553497
title: SAXS Mapping RAW data

description: Raw data from a 2D scanning SAXS experiment on shaped gold nanoparticles.
DOI: 10.6084/m9.figshare.14063357
title: dataSet_IndustrialWirelessEnvironment.xlsx

description: It is a dataset for a user device model in industrial wireless network environment.
DOI: 10.6084/m9.figshare.14063357.v2
title: dataSet_IndustrialWirelessEnvironment.xlsx

description: It is a dataset for a user device model in industrial wireless network environment.
DOI: 10.6084/m9.figshare.14063357.v1
title: dataSet_IndustrialWirelessEnvironment.xlsx

description: It is a dataset for a user device model in industrial wireless network environment.
DOI: 10.5281/zenodo.4553506
title: SAXS Mapping reduced data

description: SAXS Imax map from shaped gold nanoparticles
DOI: 10.5281/zenodo.4553505
title: SAXS Mapping reduced data

description: SAXS Imax map from shaped gold nanoparticles
DOI: 10.6084/m9.figshare.14057966
title: Database with experimental information for Infrared thermal imaging monitoring on hands when performing repetitive tasks

description: This database has 39 cases of infrared thermal skin temperature in the hand fingers when repetitive work is performed to know which finger has a greater risk of injury, besides, the recovery time is analyzed regarding the initial temperature and its relationship with age, sex, weight, height if practice sports, and Body Mass Index (BMI) per individual. For the above, an experimental test was carried out for 10 minutes on a repetitive operation that takes place in the telecommunications industry and 39 subjects participated in which an infrared thermal image of the dorsal and palmar part of both hands was taken in periods of 5 minutes after the 10-minute test has elapsed.
DOI: 10.6084/m9.figshare.14057966.v2
title: Supporting information.xlsx

description: This database has 39 cases of infrared thermal skin temperature in the hand fingers when repetitive work is performed to know which finger has a greater risk of injury, besides, the recovery time is analyzed regarding the initial temperature and its relationship with age, sex, weight, height if practice sports, and Body Mass Index (BMI) per individual. For the above, an experimental test was carried out for 10 minutes on a repetitive operation that takes place in the telecommunications industry and 39 subjects participated in which an infrared thermal image of the dorsal and palmar part of both hands was taken in periods of 5 minutes after the 10-minute test has elapsed.
DOI: 10.5281/zenodo.4393750
title: Non-human assemblies evaluated in the hifiasm paper

description: Non-human assemblies evaluated in Cheng et al (2021). Human assemblies are available via doi:10.5281/zenodo.4393631.
DOI: 10.5281/zenodo.4393749
title: Non-human assemblies evaluated in the hifiasm paper

description: Non-human assemblies evaluated in Cheng et al (2021). Human assemblies are available via doi:10.5281/zenodo.4393631.
DOI: 10.5281/zenodo.4393631
title: Human assemblies evaluated in the hifiasm paper

description: Human assemblies evaluated in the Cheng et al (2021). Non-human assemblies are available at doi:10.5281/zenodo.4393750. File "*.ONT.*" were generated by Shafin et al (2020), "*.DipAsm*" by Garg et al (2020) and "*.PAGS*" by Porubsky et al (2020). The rest of the assemblies were generated by Cheng et al.
DOI: 10.5281/zenodo.4393630
title: Human assemblies evaluated in the hifiasm paper

description: Human assemblies evaluated in the Cheng et al (2021). Non-human assemblies are available at doi:10.5281/zenodo.4393750. File "*.ONT.*" were generated by Shafin et al (2020), "*.DipAsm*" by Garg et al (2020) and "*.PAGS*" by Porubsky et al (2020). The rest of the assemblies were generated by Cheng et al.
DOI: 10.5281/zenodo.4400009
title: bbarres/drosoMethod: Supporting data and code for: How varying parameters impact insecticide resistance bioassay: an example on the worldwide invasive pest Drosophila suzukii

description: This is a pre-release made upon the submission of the revised related manuscript to PLoS ONE journal. It contains all the necessary scripts to perform the data analysis and to produce the Figures. All the necessary data can be found in the 'data' folder.
DOI: 10.5281/zenodo.4553524
title: Effective Two-Dimensional Bose–Hubbard Model for Helium on Graphene

description: Quantum Monte Carlo simulation data for 4He atoms adsorbed on graphene at low temperature.
DOI: 10.5281/zenodo.4553523
title: Effective Two-Dimensional Bose–Hubbard Model for Helium on Graphene

description: Quantum Monte Carlo simulation data for 4He atoms adsorbed on graphene at low temperature.
DOI: 10.6084/m9.figshare.14068910
title: acnportal-experiments-data

description: <b>ACN Research Portal Experiments</b><b><br></b>This dataset includes data and results used in the acnportal-experiments repository. Data for each example is stored as a zipped file. Most examples include code to automatically pull this data from figshare, so you should not need to download this data separately in most cases.
DOI: 10.18115/d50056
title: Example data for ERP Analysis Book
DOI: 10.6084/m9.figshare.14050043
title: Technical_Report_Iceis.pdf

description: This technical report contains supplementary material with support for the paper “Immersive UX: a UX Evaluation Framework for Digital Immersive Experiences in the Context of Entertainment”. Due to the limitation of pages, the study data will be shown in this report, such as: the questionnaires of the Expectation and Satisfaction stages used and proposed for the evaluation, as well as the description of the other sessions cited in the paper, with graphics for a better visualization.
DOI: 10.6084/m9.figshare.14050043.v1
title: Technical_Report_Iceis.pdf

description: This technical report contains supplementary material with support for the paper “Immersive UX: a UX Evaluation Framework for Digital Immersive Experiences in the Context of Entertainment”. Due to the limitation of pages, the study data will be shown in this report, such as: the questionnaires of the Expectation and Satisfaction stages used and proposed for the evaluation, as well as the description of the other sessions cited in the paper, with graphics for a better visualization.
DOI: 10.5281/zenodo.4540350
title: CrowdEEG Dataset: Expert Adjudication Discussions for Medical Time Series Data

description: This repository contains a dataset for a medical time series classification task acquired using <strong>CrowdEEG</strong>. Beyond classification labels, the dataset includes structured arguments from adjudication discussions of 3 medical experts per contentious classification decision. The corpus has been referenced in the following papers: Mike Schaekermann, Graeme Beaton, Elaheh Sanoubari, Andrew Lim, Kate Larson, and Edith Law: <strong>Ambiguity-aware AI Assistants for Medical Data Analysis</strong>. CHI 2020. Mike Schaekermann, Graeme Beaton, Minahz Habib, Andrew Lim, Kate Larson, and Edith Law: <strong>Understanding Expert Disagreement in Medical Data Analysis through Structured Adjudication</strong>. CSCW 2019. This repository only contains classification labels and adjudication arguments, not the raw medical time series records. Please reach out to Mike Schaekermann (mikeschaekermann@gmail.com) to request access to the underlying raw time series data. A statement of purpose and proof of your institutional ethics clearance may be required. If you find this data useful in your research, please consider citing: <pre><code>@inproceedings{Schaekermann2020AmbiguityAwareAI, Author = {Schaekermann, Mike and Beaton, Graeme and Sanoubari, Elaheh and Lim, Andrew and Larson, Kate and Law, Edith}, Title = {Ambiguity-Aware AI Assistants for Medical Data Analysis}, Year = {2020}, ISBN = {9781450367080}, Publisher = {Association for Computing Machinery}, Address = {New York, NY, USA}, DOI = {10.1145/3313831.3376506}, Pages = {1–14}, Numpages = {14}, Location = {Honolulu, HI, USA}, Series = {CHI '20} }</code></pre>
DOI: 10.5281/zenodo.4540349
title: CrowdEEG Dataset: Expert Adjudication Discussions for Medical Time Series Data

description: This repository contains a dataset for a medical time series classification task acquired using <strong>CrowdEEG</strong>. Beyond classification labels, the dataset includes structured arguments from adjudication discussions of 3 medical experts per contentious classification decision. The corpus has been referenced in the following papers: Mike Schaekermann, Graeme Beaton, Elaheh Sanoubari, Andrew Lim, Kate Larson, and Edith Law: <strong>Ambiguity-aware AI Assistants for Medical Data Analysis</strong>. CHI 2020. Mike Schaekermann, Graeme Beaton, Minahz Habib, Andrew Lim, Kate Larson, and Edith Law: <strong>Understanding Expert Disagreement in Medical Data Analysis through Structured Adjudication</strong>. CSCW 2019. This repository only contains classification labels and adjudication arguments, not the raw medical time series records. Please reach out to Mike Schaekermann (mikeschaekermann@gmail.com) to request access to the underlying raw time series data. A statement of purpose and proof of your institutional ethics clearance may be required. If you find this data useful in your research, please consider citing: <pre><code>@inproceedings{Schaekermann2020AmbiguityAwareAI, Author = {Schaekermann, Mike and Beaton, Graeme and Sanoubari, Elaheh and Lim, Andrew and Larson, Kate and Law, Edith}, Title = {Ambiguity-Aware AI Assistants for Medical Data Analysis}, Year = {2020}, ISBN = {9781450367080}, Publisher = {Association for Computing Machinery}, Address = {New York, NY, USA}, DOI = {10.1145/3313831.3376506}, Pages = {1–14}, Numpages = {14}, Location = {Honolulu, HI, USA}, Series = {CHI '20} }</code></pre>
DOI: 10.5281/zenodo.4553590
title: Indonesian Journal of Applied Linguistics: A bibliometric portrait of ten publication years (Supplementary materials)

description: Supplementary material for Indonesian Journal of Applied Linguistics: A bibliometric portrait of ten publication years
DOI: 10.5281/zenodo.4553589
title: Indonesian Journal of Applied Linguistics: A bibliometric portrait of ten publication years (Supplementary materials)

description: Supplementary material for Indonesian Journal of Applied Linguistics: A bibliometric portrait of ten publication years
DOI: 10.6084/m9.figshare.12440339
title: Supplemental File 3. 16s Alignment

description: 16S alignment with new samples, GenBank sequences and outgroups
DOI: 10.6084/m9.figshare.12440339.v3
title: Supplemental File 3. 16s Alignment

description: 16S alignment with new samples, GenBank sequences and outgroups
DOI: 10.6084/m9.figshare.12440339.v2
title: Supplemental File 3. 16s Alignment

description: 16S alignment with new samples, GenBank sequences and outgroups
DOI: 10.6084/m9.figshare.12440333
title: Supplemental File 2. CytB Alignment

description: CytB Alignment with new samples, GenBank sequences and outgroups
DOI: 10.6084/m9.figshare.12440333.v2
title: Supplemental File 2. CytB Alignment

description: CytB Alignment with new samples, GenBank sequences and outgroups
DOI: 10.6084/m9.figshare.12440333.v1
title: Supplemental File 2. CytB Alignment

description: CytB Alignment with new samples, GenBank sequences and outgroups
DOI: 10.7277/tdzs-d567
title: RAPID: Mapping of Earthquake Damage in Precast Buildings in Christchurch, New Zealand (NEES-2011-1046)

description: &lt;p&gt;&lt;strong&gt;Title:&lt;/strong&gt; RAPID: Mapping of Earthquake Damage in Precast Buildings in Christchurch, New Zealand (NEES-2011-1046)&lt;/p&gt; &lt;p&gt;&lt;br /&gt; &lt;strong&gt;Year Of Curation:&lt;/strong&gt; 2013&lt;/p&gt; &lt;p&gt;&lt;br /&gt; &lt;strong&gt;Description:&lt;/strong&gt; Following powerful earthquakes between September 2010 and June 2011 near Christchurch, New Zealand, an expedition to document damage in precast concrete structures was undertaken. During a two-week site visit, damage observations were logged and sensors for system identification and earthquake monitoring were deployed. Two precast concrete structures were investigated; a 5-story parking garage with structural walls and a 9-story hotel with a moment-resisting frame. Damage documentation was achieved through photographic evidence and field notes. Structural monitoring was achieved with eighteen channels of acceleration data recording ambient vibrations as well as dozens of small aftershocks.&lt;/p&gt; &lt;p&gt;&lt;br /&gt; &lt;strong&gt;Award:&lt;/strong&gt; http://www.nsf.gov/awardsearch/showAward?AWD_ID=1063138&lt;/p&gt; &lt;p&gt;&lt;br /&gt; &lt;strong&gt;PIs &amp; CoPIs:&lt;/strong&gt; Jose Restrepo, Robert Fleischman&lt;/p&gt; &lt;p&gt;&lt;br /&gt; &lt;strong&gt;Dates:&lt;/strong&gt; June 15, 2011 - June 18, 2012&lt;/p&gt; &lt;p&gt;&lt;br /&gt; &lt;strong&gt;Organizations:&lt;/strong&gt; University of Arizona, AZ, United States,,University of California, Los Angeles, CA, United States,,University of California, San Diego, CA, United States&lt;/p&gt; &lt;p&gt;&lt;br /&gt; &lt;strong&gt;Facilities:&lt;/strong&gt; University of California, Los Angeles, CA, United States&lt;/p&gt; &lt;p&gt;&lt;br /&gt; &lt;strong&gt;Sponsor:&lt;/strong&gt; NSF - 1063138 &lt;/p&gt; &lt;p&gt;&lt;br /&gt; &lt;strong&gt;Keywords:&lt;/strong&gt; Precast concrete,parking garage,System Identification,Concrete frame,Christchurch Earthquake,Structural Walls&lt;/p&gt; &lt;p&gt;&lt;br /&gt; &lt;strong&gt;Publications:&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;&quot;Experimental setup report&quot;&lt;/p&gt; &lt;p&gt;&quot;RAPID: Mapping of Damage in Precast Concrete Buildings   from the February 2011 Christchurch, New Zealand   Earthquake&quot;&lt;/p&gt; &lt;nb:citations&gt;&lt;/nb:citations&gt;
DOI: 10.5281/zenodo.4553636
title: qdgc Bangladesh

description: DGC tables delivered in geopackage file<br> - - - - - - - - - - - - - - - - - - - - - -<br> QDGC represents a way of making (almost) equal area squares covering a specific area to represent specific qualities of the area covered. The squares themselves are based on the degree squares covering earth. Around the equator we have 360 longitudinal lines , and from the north to the south pole we have 180 latitudinal lines. Together this gives us 64800 segments or tiles covering earth.<br> <br> <br> Within each geopackage file you will find a number of tables with these names:<br> -tbl_qdgc_01<br> -tbl_qdgc_02<br> -tbl_qdgc_03<br> -tbl_qdgc_04<br> -tbl_qdgc_05<br> -etc<br> <br> <br> The attributes for each table are:<br> qdgc Unique Quarter Degree Grid Cell reference string<br> level_qdgc QDGC level<br> cellsize degrees decimal degree for the longitudal and latitudal length of the cell<br> lon_center Longitude center of the cell<br> lat_center Latitudal center of the cell<br> area_km2 Calculated area for the cell<br> geom Geometry<br> <br> <br> Metadata<br> --------<br> Geodata GCS_WGS_1984<br> Datum: D_WGS_1984<br> Prime Meridian: 0<br> <br> <br> Areas are calculated with different versions of Albers Equal Area Conic using the PostGIS function st_area. For the African continent I have used Africa Albers Equal Area Conic which will look like this:<br> - st_area(st_transform(geom, 102022))/1000000)<br> <br> <br> Conditions<br> ----------<br> Delivered to the user as-is. No guarantees. If you find errors, please tell me and I will try to fix it. Suggestions for improvements can be addressed to the github repository: https://github.com/ragnvald/qdgc<br> <br> <br> Thankyou!<br> --------<br> The work has over the years been supported and received advice and moral support from many organisations and stakeholders. Here are some of them:<br> - TAWIRI (http://tawiri.or.tz/)<br> - Dept of Biology, NTNU, Norway<br> - Norwegian Environment Agency<br> - Eivin Røskaft, Steven Prager, Howard Frederick, Julian Blanc, Honori Maliti, Paul Ramsey<br> <br> <br> References<br> ----------<br> * http://en.wikipedia.org/wiki/QDGC<br> * http://www.mindland.com/wp/projects/quarter-degree-grid-cells/about-qdgc/<br> * http://en.wikipedia.org/wiki/Lambert_azimuthal_equal-area_projection<br> * http://www.safe.com
DOI: 10.5281/zenodo.4553635
title: qdgc Bangladesh

description: DGC tables delivered in geopackage file<br> - - - - - - - - - - - - - - - - - - - - - -<br> QDGC represents a way of making (almost) equal area squares covering a specific area to represent specific qualities of the area covered. The squares themselves are based on the degree squares covering earth. Around the equator we have 360 longitudinal lines , and from the north to the south pole we have 180 latitudinal lines. Together this gives us 64800 segments or tiles covering earth.<br> <br> <br> Within each geopackage file you will find a number of tables with these names:<br> -tbl_qdgc_01<br> -tbl_qdgc_02<br> -tbl_qdgc_03<br> -tbl_qdgc_04<br> -tbl_qdgc_05<br> -etc<br> <br> <br> The attributes for each table are:<br> qdgc Unique Quarter Degree Grid Cell reference string<br> level_qdgc QDGC level<br> cellsize degrees decimal degree for the longitudal and latitudal length of the cell<br> lon_center Longitude center of the cell<br> lat_center Latitudal center of the cell<br> area_km2 Calculated area for the cell<br> geom Geometry<br> <br> <br> Metadata<br> --------<br> Geodata GCS_WGS_1984<br> Datum: D_WGS_1984<br> Prime Meridian: 0<br> <br> <br> Areas are calculated with different versions of Albers Equal Area Conic using the PostGIS function st_area. For the African continent I have used Africa Albers Equal Area Conic which will look like this:<br> - st_area(st_transform(geom, 102022))/1000000)<br> <br> <br> Conditions<br> ----------<br> Delivered to the user as-is. No guarantees. If you find errors, please tell me and I will try to fix it. Suggestions for improvements can be addressed to the github repository: https://github.com/ragnvald/qdgc<br> <br> <br> Thankyou!<br> --------<br> The work has over the years been supported and received advice and moral support from many organisations and stakeholders. Here are some of them:<br> - TAWIRI (http://tawiri.or.tz/)<br> - Dept of Biology, NTNU, Norway<br> - Norwegian Environment Agency<br> - Eivin Røskaft, Steven Prager, Howard Frederick, Julian Blanc, Honori Maliti, Paul Ramsey<br> <br> <br> References<br> ----------<br> * http://en.wikipedia.org/wiki/QDGC<br> * http://www.mindland.com/wp/projects/quarter-degree-grid-cells/about-qdgc/<br> * http://en.wikipedia.org/wiki/Lambert_azimuthal_equal-area_projection<br> * http://www.safe.com
DOI: 10.5281/zenodo.4553640
title: qdgc Colombia

description: DGC tables delivered in geopackage file<br> - - - - - - - - - - - - - - - - - - - - - -<br> QDGC represents a way of making (almost) equal area squares covering a specific area to represent specific qualities of the area covered. The squares themselves are based on the degree squares covering earth. Around the equator we have 360 longitudinal lines , and from the north to the south pole we have 180 latitudinal lines. Together this gives us 64800 segments or tiles covering earth.<br> <br> <br> Within each geopackage file you will find a number of tables with these names:<br> -tbl_qdgc_01<br> -tbl_qdgc_02<br> -tbl_qdgc_03<br> -tbl_qdgc_04<br> -tbl_qdgc_05<br> -etc<br> <br> <br> The attributes for each table are:<br> qdgc Unique Quarter Degree Grid Cell reference string<br> level_qdgc QDGC level<br> cellsize degrees decimal degree for the longitudal and latitudal length of the cell<br> lon_center Longitude center of the cell<br> lat_center Latitudal center of the cell<br> area_km2 Calculated area for the cell<br> geom Geometry<br> <br> <br> Metadata<br> --------<br> Geodata GCS_WGS_1984<br> Datum: D_WGS_1984<br> Prime Meridian: 0<br> <br> <br> Areas are calculated with different versions of Albers Equal Area Conic using the PostGIS function st_area. For the African continent I have used Africa Albers Equal Area Conic which will look like this:<br> - st_area(st_transform(geom, 102022))/1000000)<br> <br> <br> Conditions<br> ----------<br> Delivered to the user as-is. No guarantees. If you find errors, please tell me and I will try to fix it. Suggestions for improvements can be addressed to the github repository: https://github.com/ragnvald/qdgc<br> <br> <br> Thankyou!<br> --------<br> The work has over the years been supported and received advice and moral support from many organisations and stakeholders. Here are some of them:<br> - TAWIRI (http://tawiri.or.tz/)<br> - Dept of Biology, NTNU, Norway<br> - Norwegian Environment Agency<br> - Eivin Røskaft, Steven Prager, Howard Frederick, Julian Blanc, Honori Maliti, Paul Ramsey<br> <br> <br> References<br> ----------<br> * http://en.wikipedia.org/wiki/QDGC<br> * http://www.mindland.com/wp/projects/quarter-degree-grid-cells/about-qdgc/<br> * http://en.wikipedia.org/wiki/Lambert_azimuthal_equal-area_projection<br> * http://www.safe.com