cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14681514
title: Scanned Drone Flight Log Sheets relevant for the Sawyer Mill Dam Removal (Dover, NH, USA) Reservoir Response Manuscript

description: These are the scanned flight log records for the flights relevant to the Evans et al. Sawyer Mill dam removal study reservoir response manuscript. The flight dates include:<br>- Upper Impoundment; August 14, 2019- Upper Impoundment; July 10, 2020- Vegetation Area; August 22, 2019- Vegetation Area; August 6, 2020- Beaver Dam Area; August 23, 2019- Beaver Dam Area; July 24, 2020- Sediment Area; July 30, 2019- Sediment Area; July 16, 2020- Middle Impoundment; July 19, 2019- Middle Impoundment; August 5, 2020<br>Please see the referenced imagery sets for the aerial photographs collected during these flight dates.
DOI: 10.25502/7hp6-x176/d
title: Suitability of different cassava varieties for the production of gari and fufu powder in Liberia

description: To know the demographic information of the Liberia cassava stakeholders. To get baseline information on the available cassava products in Liberia.
DOI: 10.5255/ukda-sn-853992
title: Questionnaire Data and Supporting Material on Chinese Investment in Ethiopia and Uganda, 2017-2019

description: The data uploaded here consists of summaries of the findings of four small-scale questionnaire surveys undertaken in Addis Ababa and Kampala. These questionnaires were intended to explore the local effects of specific Chinese investments in urban infrastructure, specifically in the form of transport infrastructure and industrial parks. There were two questionnaires undertaken in Addis Ababa (on the effects of the new Light Rail Transit system on a particular neighbourhood, and on aspects of working/living conditions in a Chinese Industrial Park) and two in Kampala (on the usage of the new Kampala-Entebbe Expressway and on its consequences for a neighbourhood along the route). Being small in scale, these surveys are not intended for statistical analysis but to provide some basic indicative information relating to the Chinese-financed projects noted above. They questionnaires were used to inform and complement a range of semi-structured interviews. Please note therefore that the data uploaded comprises only a small proportion of the overall data collected, most of which was qualitative and took the form of semi-structured interviews. See below for more detail on the data collected and why most of it is not possible to upload. If interested in discussing this data, please contact the PI.
DOI: 10.3886/e137701v3
title: Optic Nerve Head Image Database (ODTiD)

description: The Optic Disc tilt (ODT) or Tilted optic disc is a common finding in the general population and it is due to anomalous ocular development caused by the malclosure of the embryonic optic fissure. ODT is commonly associated with high myopia as well as other conditions (e.g., astigmatism, visual field loss, defective color vision, and retinal abnormalities). This dataset of ODT images contains both horizontal and vertical cross-sectional images obtained using Spectral-Domain Optical coherence tomography (SD-OCT, Cirrus 5000, Carl Zeiss Meditec Inc., Dublin, CA). The optic disc cube 200 x 200 program was used and all the images are aligned with the center of the optic nerve head. All OCT images are 8-bit grayscale images of dimensions of 200 x 200 pixels corresponding to 6 mm x 6 mm (894 x 596 pixels). These datasets cover both clinically normal (20 eyes) and myopic subjects (101 eyes). For each type of image, clear and manually segmented by a clinical expert (ground truth) are available. Additional information includes, age, gender, laterality, refractive error classification, spherical equivalent, best corrected visual acuity, intraocular pressure and axial length. This dataset can be used to test and validate newly developed automated segmentation algorithms.
DOI: 10.3886/e137701v2
title: Optic Nerve Head Image Database (ODTiD)

description: The Optic Disc tilt (ODT) or Tilted optic disc is a common finding in the general population and it is due to anomalous ocular development caused by the malclosure of the embryonic optic fissure. ODT is commonly associated with high myopia as well as other conditions (e.g., astigmatism, visual field loss, defective color vision, and retinal abnormalities). This dataset of ODT images contains both horizontal and vertical cross-sectional images obtained using Spectral-Domain Optical coherence tomography (SD-OCT, Cirrus 5000, Carl Zeiss Meditec Inc., Dublin, CA). The optic disc cube 200 x 200 program was used and all the images are aligned with the center of the optic nerve head. All OCT images are 8-bit grayscale images of dimensions of 200 x 200 pixels corresponding to 6 mm x 6 mm (894 x 596 pixels). These datasets cover both clinically normal (20 eyes) and myopic subjects (101 eyes). For each type of image, clear and manually segmented by a clinical expert (ground truth) are available. Additional information includes, age, gender, laterality, refractive error classification, spherical equivalent, best corrected visual acuity, intraocular pressure and axial length. This dataset can be used to test and validate newly developed automated segmentation algorithms.
DOI: 10.3886/e137701v1
title: Optic Nerve Head Image Database (ODTiD)

description: The Optic Disc tilt (ODT) or Tilted optic disc is a common finding in the general population and it is due to anomalous ocular development caused by the malclosure of the embryonic optic fissure. ODT is commonly associated with high myopia as well as other conditions (e.g., astigmatism, visual field loss, defective color vision, and retinal abnormalities). This dataset of ODT images contains both horizontal and vertical cross-sectional images obtained using Spectral-Domain Optical coherence tomography (SD-OCT, Cirrus 5000, Carl Zeiss Meditec Inc., Dublin, CA). The optic disc cube 200 x 200 program was used and all the images are aligned with the center of the optic nerve head. All OCT images are 8-bit grayscale images of dimensions of 200 x 200 pixels corresponding to 6 mm x 6 mm (894 x 596 pixels). These datasets cover both clinically normal (20 eyes) and myopic subjects (101 eyes). For each type of image, clear and manually segmented by a clinical expert (ground truth) are available. Additional information includes, age, gender, laterality, refractive error classification, spherical equivalent, best corrected visual acuity, intraocular pressure and axial length. This dataset can be used to test and validate newly developed automated segmentation algorithms.
DOI: 10.5281/zenodo.3342525
title: Wi-Fi Fingerprinting dataset with multiple simultaneous interfaces

description: This dataset was collected within the context of a research project aiming to develop an indoor positioning system for autonomous industrial vehicles. This positioning system is based on fusing data from Wi-Fi sensors, magnetic encoders, and an IMU, using a particle filter. Wi-Fi data is first processed using Wi-Fi fingerprinting. One of the unique characteristics of this system is that it uses Wi-Fi fingerprints collected simultaneously from multiple, synchronised, Wi-Fi interfaces. Some results about the benefits of using multiple Wi-Fi interfaces are described in: Moreira, A., Silva, I., Meneses, F., Nicolau, M. J., Pendao, C., & Torres-Sospedra, J. (2017, September). Multiple simultaneous Wi-Fi measurements in fingerprinting indoor positioning. In 2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN) (pp. 1-8). IEEE. http://dx.doi.org/10.1109/IPIN.2017.8115914 These data were collected at a university building that resembles an industrial floor plant, with a total area of around 1000 m2. The data were collected in July 2017. The data collection setup was based on a Raspberry Pi 3 Model B with its internal Wi-Fi interface, and four additional USB Wi-Fi interfaces (Edimax EW-7811un).
description: This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT—Fundação para a Ciência e Tecnologia within the scope of project UID/CEC/00319/2019, by the Portugal Incentive System for Research and Technological Development in the scope of projects in co-promotion no 002814/2015 (iFACTORY 2015-2018).
DOI: 10.6084/m9.figshare.13656443.v1
title: Supplemental Material for: "Empirically Evaluating Readily Available Information for Regression Test Optimization in Continuous Integration"

description: This is the supplemental material (experiment results, scripts, and dataset) created for the paper:<br><i>Elsner, D., Hauer, F., Pretschner, A., Reimer, S. (2021). Empirically Evaluating Readily Available Information for Regression Test Optimization in Continuous Integration. In Proceedings of the 30th International Symposium on Software Testing and Analysis.</i><br><i><br></i>The included dataset contains data from 20 project that were extracted from the RTPTorrent dataset (copyright by Mattis et al. [1,2], CC Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/) and enriched for our purposes.<br>If you use any parts from this supplemental material (e.g., our dataset), please cite both this material and our corresponding paper.<br><br>[1] Toni Mattis, Patrick Rein, Falco Dürsch, and Robert Hirschfeld. 2020. RTPTorrent: An Open-source Dataset for Evaluating Regression Test Prioritization. In Proceedings of the Conference on Mining Software Repositories. 385–396. https://doi.org/10.1145/3379597.3387458<br>[2] Toni Mattis, Patrick Rein, Falco Dürsch, and Robert Hirschfeld. 2020. RTPTorrent: An Open-source Dataset for Evaluating Regression Test Prioritization. Zenodo. https://doi.org/10.5281/zenodo.3610998
DOI: 10.6084/m9.figshare.13678429.v1
title: Chlorophyll-a Yearly Statistics

description: Chlorophyll-a yearly statistics
DOI: 10.5281/zenodo.4818496
title: Protein structural consequences of DNA mutational signatures: A meta-analysis of somatic variants and deep mutational scanning data

description: Data generated for the manuscript "Protein structural consequences of DNA mutational signatures: A meta-analysis of somatic variants and deep mutational scanning data". Please consult the README file for detailed description of data files included in this dataset.
DOI: 10.6084/m9.figshare.14687391
title: Supplementary Material for “Projected vegetation distributions in response to 1.5 °C or 2 °C global warming on the Tibetan Plateau”

description: Supplementary Material for “Projected vegetation distributions in response to 1.5 °C or 2 °C global warming on the Tibetan Plateau” (https://doi.org/10.1016/j.gloplacha.2021.103525)<br><br>The following files were included in this dataset:<br><b>1. Supplementary_Material.docx</b><br>This word file includes:- <i>Table S1. </i>Correspondence between BIOME4 biomes and vegetation types used in this study<br>- <i>Table S2. </i>Limiting bio-climatic factors for each functional type in the modified BIOME4 model<br>- <i>Table S3. </i>Several physiological parameters for each functional type in the modified BIOME4 model<br><br><b>2. Original_Simulation_FIG.4_.5_.6.zip</b><br>This zip file contains simulation results in their original format for <i>Figure 4-6</i>.<br>
DOI: 10.6084/m9.figshare.14687391.v1
title: Supplementary Material for “Projected vegetation distributions in response to 1.5 °C or 2 °C global warming on the Tibetan Plateau”

description: Supplementary Material for “Projected vegetation distributions in response to 1.5 °C or 2 °C global warming on the Tibetan Plateau” (https://doi.org/10.1016/j.gloplacha.2021.103525)<br><br>The following files were included in this dataset:<br><b>1. Supplementary_Material.docx</b><br>This word file includes:- <i>Table S1. </i>Correspondence between BIOME4 biomes and vegetation types used in this study<br>- <i>Table S2. </i>Limiting bio-climatic factors for each functional type in the modified BIOME4 model<br>- <i>Table S3. </i>Several physiological parameters for each functional type in the modified BIOME4 model<br><br><b>2. Original_Simulation_FIG.4_.5_.6.zip</b><br>This zip file contains simulation results in their original format for <i>Figure 4-6</i>.<br>
DOI: 10.5523/bris.2o4avcpdbwzi02a5fffc35vtql
title: Data for “Evaluation of a credit-bearing online administered happiness course on undergraduates’ mental well-being during the COVID-19 pandemic”
title: Data for SoH Online Evaluation

description: This data supports the findings of “Evaluation of a credit-bearing online administered happiness course on undergraduates’ mental well-being during the COVID-19 pandemic”. We evaluated change in well-being in first year university students (N = 166) taking an online “Science of Happiness” course compared to a wait-list comparison group (N = 198). We found that the course had a beneficial effect on well-being. Specifically, mental well-being in those taking the course was maintained, compared to the waiting-list control who showed a significant decline in well-being and increase in anxiety over time.
DOI: 10.6084/m9.figshare.13656443
title: Supplemental Material for: "Empirically Evaluating Readily Available Information for Regression Test Optimization in Continuous Integration"

description: This is the supplemental material (experiment results, scripts, and dataset) created for the paper:<br><i>Elsner, D., Hauer, F., Pretschner, A., Reimer, S. (2021). Empirically Evaluating Readily Available Information for Regression Test Optimization in Continuous Integration. In Proceedings of the 30th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA '21). ACM, New York, NY, USA. https://doi.org/10.1145/3460319.3464834</i><br><i><br></i>The included dataset contains data from 3 industrial projects from IVU Traffic Technologies and 20 open-source projects that were extracted from the RTPTorrent dataset (copyright by Mattis et al. [1,2], CC Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/) and enriched for our purposes.<br>If you use any parts from this supplemental material (e.g., our dataset), please cite both this material and our corresponding paper.<br>[1] Toni Mattis, Patrick Rein, Falco Dürsch, and Robert Hirschfeld. 2020. RTPTorrent: An Open-source Dataset for Evaluating Regression Test Prioritization. In Proceedings of the Conference on Mining Software Repositories. 385–396. https://doi.org/10.1145/3379597.3387458<br>[2] Toni Mattis, Patrick Rein, Falco Dürsch, and Robert Hirschfeld. 2020. RTPTorrent: An Open-source Dataset for Evaluating Regression Test Prioritization. Zenodo. https://doi.org/10.5281/zenodo.3610998
DOI: 10.6084/m9.figshare.13656443.v2
title: Supplemental Material for: "Empirically Evaluating Readily Available Information for Regression Test Optimization in Continuous Integration"

description: This is the supplemental material (experiment results, scripts, and dataset) created for the paper:<br><i>Elsner, D., Hauer, F., Pretschner, A., Reimer, S. (2021). Empirically Evaluating Readily Available Information for Regression Test Optimization in Continuous Integration. In Proceedings of the 30th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA '21). ACM, New York, NY, USA. https://doi.org/10.1145/3460319.3464834</i><br><i><br></i>The included dataset contains data from 3 industrial projects from IVU Traffic Technologies and 20 open-source projects that were extracted from the RTPTorrent dataset (copyright by Mattis et al. [1,2], CC Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/) and enriched for our purposes.<br>If you use any parts from this supplemental material (e.g., our dataset), please cite both this material and our corresponding paper.<br>[1] Toni Mattis, Patrick Rein, Falco Dürsch, and Robert Hirschfeld. 2020. RTPTorrent: An Open-source Dataset for Evaluating Regression Test Prioritization. In Proceedings of the Conference on Mining Software Repositories. 385–396. https://doi.org/10.1145/3379597.3387458<br>[2] Toni Mattis, Patrick Rein, Falco Dürsch, and Robert Hirschfeld. 2020. RTPTorrent: An Open-source Dataset for Evaluating Regression Test Prioritization. Zenodo. https://doi.org/10.5281/zenodo.3610998
DOI: 10.6084/m9.figshare.14687526
title: Untitled Item

description: Raw data extracted from Covidence.
DOI: 10.6084/m9.figshare.14687526.v1
title: Untitled Item

description: Raw data extracted from Covidence.
DOI: 10.15129/7f382ff5-68fb-4f1c-9a0b-2c005705a5c5
title: Supplementary material for: "Thermally-driven flows and Turbulence in Vibrated liquids"

description: The files appended with the .cfluid can be visualized on Matlab Or MS Excel, The FTT may be computed directly from the velocity data using an FFT Function. The data used for this publication corresponds to the central probe (Probe1) in the x-direction (i.e. 5th column of the data set). TFD data the data is readily available to be viewed in Excel. Figures 2, 6-11, 14-17, 19,20 and 22 were produced by visualizing the velocity field in Paraview. Simply click on the .foam files to visualise the data set. Note: Paraview must be installed.
DOI: 10.6084/m9.figshare.13708642.v2
title: Methods and Code

description: This item contains the supplementary material for publication <i>A Database for Global Conditions, </i>each of which is described below. EEZ_shapefile.zip: Exclusive economic zones shapefile and supporting files used in the study. For R users, the EEZ_borders.RDS file can be downloaded and loaded directly into R as the shapefile for the exclusive economic zones This item also includes two R scripts to recreate the data found in this repository. Script has been well documented and should guide the user on how to use and run. Both of the scripts are necessary for recreating the study. Also included in this repository, an R script to guide you through how to download the data from Figshare, specifically for this repository, to your computer directly from R. Can also be found at https://rpubs.com/mcastan2/DGCC_supp_material with the rest of the supplementary code material. Review publication for a more detailed data description.
DOI: 10.5066/p93ybkcr
title: Pesticide Concentrations Measured in Zooplankton Samples Collected from the Sacramento River and Yolo Bypass, California, 2017-2020

description: Zooplankton samples were collected at a site in the Yolo Bypass in Northern California and at a comparison site on the Sacramento River below the city of Sacramento and analyzed for a large suite of current-use pesticides and degradates. Samples were collected biweekly in the summer/fall 2017 and 2018, and from May 2019-March 2020. Samples were collected by towing a 150-micron conical plankton net for 5 minutes by boat at each site. In the laboratory, zooplankton samples were filtered through a 63-micrometer sieve to separate the zooplankton and vegetation/detritus from the water. Large sticks, twigs, rocks, and leaves were rinsed with organic free water into the sieve and then discarded. The remaining mass in the sieve was transferred into 50 milliliter plastic centrifuge tubes, frozen overnight at -20 degrees celsius, dehydrated completely using a freeze dryer, and then stored at -20 degrees celsius. Immediately prior to analysis, each freeze-dried sample was homogenized and subsampled to a targeted final weight of 0.5 to 1.0 grams. Each subsample was further homogenized with sodium sulfate and extracted with dichloromethane at 100 degrees celsius and 1500 PSI using an ASE 200 solvent extraction system. Extracts were cleaned up using activated carbon, evaporated to 200 microliters in ethyl acetate, internal standards added, and analyzed by gas chromatography-tandem mass spectrometry for 86 pesticides. A total of 29 pesticides were detected in the zooplankton samples, and 70 of the 73 samples collected contained multiple pesticides (up to 17 per sample). The most frequently detected compounds in zooplankton were 3,4-dichloroanline, azoxystrobin, bifenthrin, p,p?-DDD, p,p?-DDE, pendimethalin, and thiobencarb.
DOI: 10.5255/ukda-sn-854895
title: Local Authorities and Sustainable Energy Innovations, 2016-2019

description: This project analysed local authorities in the UK in order to ascertain what capacities they have to engage in sustainable energy, and how these relate to a range of social, political and material contexts. This is a fast-moving landscape as local authorities increase their ambitions in relation to emissions reduction and try to match them with a wider range of local priorities. The main focus of the project is on understanding the relationships between local capacity to act, in five leading local authorities, and energy system decentralisation and varying types of relationship with national government. This information was built up through a process of documentary analysis, 48 extended semi-structured interviews with those most involved at the local authority level, two placements, and two knowledge exchange workshops. The project concludes that re-shaping local-national political relationships can open up opportunities for action at the local level, whilst renewable energy decentralisation has opened up opportunities for local energy transitions but also for new revenue streams for local authorities. It also concluded that greater co-ordination between: local authorities, and between local authorities and national government bodies is required to improve opportunities for other local authorities to act.
DOI: 10.15468/jqpdqq
title: The pseudodichotomous Dasya sylviae sp. nov. (Delesseriaceae, Ceramiales) from 60 - 90 m mesophotic reefs off Bermuda

description: This dataset contains the digitized treatments in Plazi based on the original journal article Schneider, Craig W., Cassidy, Margaret M., Saunders, Gary W. (2021): The pseudodichotomous Dasya sylviae sp. nov. (Delesseriaceae, Ceramiales) from 60 - 90 m mesophotic reefs off Bermuda. European Journal of Taxonomy 751: 24-37, DOI: https://doi.org/10.5852/ejt.2021.751.1377, URL: http://dx.doi.org/10.5852/ejt.2021.751.1377
DOI: 10.5255/ukda-sn-854715
title: The Future of Human Rights Investigations: Using Open Source Intelligence to Transform the Documentation and Discovery of Human Rights Violations, 2018-2021

description: This data collection contains transcripts of interviews carried out with experienced human rights investigators. Throughout these semi-structured interviews, participants were invited to share their views and experiences on: the extent to which OSINT has affected investigative practices; the representativeness of open source research sources to affected populations; the tools that assist in data gathering and verification; and the challenges and opportunities presented by this type of evidence.
DOI: 10.5066/p9t62nsi
title: Thin section images of drill core from the Chrome Lake area in the Stillwater Complex, Montana

description: This dataset includes photographic images of thin sections of drill core from the Stillwater Complex, Montana, along with a shapefile representing the locations of the drill holes. The core was drilled in order to study contact-type copper and nickel sulfide mineralization in the Stillwater Complex. The images of the entire thin section, both in plane- and cross-polarized light, were taken using a high-resolution digital camera on a macro stand. Each zip file, named with the drill hole identification number, contains the images for a single drill hole. The data in each zip file is organized into a folder containing the 'RAW' unprocessed CR2 images and a folder containing processed jpg images. Folders with a "p1" or "p2" designation (representing parts 1 and 2) were organized into two parts in response to file size restrictions. The file name of each photograph correlates to the name and depth of the drill hole from which the thin section was sourced, and whether the photograph represents a plane-polarized (ppl) or cross-polarized (xpl) light image. For example, the "ST-8-385_ppl.JPG" file is a plane-polarized image of the thin section sourced from drill hole ST-8 at a depth of 385 feet. Multiple images from the same drill hole and depth are identified with "(2)", "(3)", etc. in the file name.