cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6801906
title: Dataset of polygons with the contour of 900 juniper shrubs used to track shrub growth from 1977 to 2020 in Sierra Nevada (Spain) using very high resolution aerial and satellite RGB images.

description: <strong>This database provides as polygons the contours of 900 juniper shrubs (<em>Juniperus communis L.</em> and <em>Juniperus sabina L.</em>) along 5 decades (years 1977, 1984, 2001, 2010 and 2020). The contour of each of 900 shrubs manually mapped using the Google Satellite composite for the year 2020) was tracked back in time using orthophotos provided by REDIAM. Contours were obtained by manual annotation as polygon shapefiles in QGIS 3.10.3. Additionally, for the year 2020, the polygons were characterized with five attributes that gather ecological information: Morphotype (Hemispherical, Striped, Senescent, With rock), Presence of surrounding vegetation (Bare Soil, Surrounding Vegetation), Presence of nearby human land-uses (Surrounded by human facilities within 250 meters, Non-anthropized environment) Health status (as percentage of canopy cover with brown foliage: values between 0-5, where 0 corresponds to 100% photosynthetically active cover, decreasing the photosynthetically active cover until category 5 which corresponds to 100% damaged cover), and the subjective annotation certainty of the GIS technician (values between 0-5, where the value 0 corresponds to a very uncertain annotation up to the value 5 which corresponds to a fairly certain annotation). </strong>
description: This research has been supported by DETECTOR (A-RNM-256-UGR18 Universidad de Granada/FEDER), LifeWatch SmartEcomountains (LifeWatch-2019-10-UGR-01 Ministerio de Ciencia e Innovación/Universidad de Granada/FEDER)
DOI: 10.5281/zenodo.6801971
title: Dataset with square plots across Sierra Nevada (Spain) where the contours of all juniper shrubs were annotated as polygons using centimetric GPS and very high resolution aerial and satellite RGB images

description: <strong>This dataset is a shapefile of 767 polygons describing the contours of Juniperus communis L. and Juniperus sabina L. shrubs for the year 2021 in rectangular plots across Sierra Nevada. The coordinates of the polygons were obtained from a field work campaign with a differential centimetric GPS, and their contours were drawn manually in QGIS using the Google Earth satellite image for 2020 and the PNOA aerial image for the 2020. </strong> <strong>This dataset also contains an excel file describing the features of each polygon: the polygon centroid coordinates, the type of species, the sexgender, the morphotype, the damage in the vegetation cover estimated in the field and telematically, certainty of the digitalization with QGIS and also if the differential centimetric GPS used belongs to the University of Granada or the University of Almeria. </strong>
description: This research has been supported by DETECTOR (A-RNM-256-UGR18 Universidad de Granada/FEDER), LifeWatch SmartEcomountains (LifeWatch-2019-10-UGR-01 Ministerio de Ciencia e Innovación/Universidad de Granada/FEDER)
DOI: 10.5281/zenodo.6801972
title: Dataset with square plots across Sierra Nevada (Spain) where the contours of all juniper shrubs were annotated as polygons using centimetric GPS and very high resolution aerial and satellite RGB images

description: <strong>This dataset is a shapefile of 767 polygons describing the contours of Juniperus communis L. and Juniperus sabina L. shrubs for the year 2021 in rectangular plots across Sierra Nevada. The coordinates of the polygons were obtained from a field work campaign with a differential centimetric GPS, and their contours were drawn manually in QGIS using the Google Earth satellite image for 2020 and the PNOA aerial image for the 2020. </strong> <strong>This dataset also contains an excel file describing the features of each polygon: the polygon centroid coordinates, the type of species, the sexgender, the morphotype, the damage in the vegetation cover estimated in the field and telematically, certainty of the digitalization with QGIS and also if the differential centimetric GPS used belongs to the University of Granada or the University of Almeria. </strong>
description: This research has been supported by DETECTOR (A-RNM-256-UGR18 Universidad de Granada/FEDER), LifeWatch SmartEcomountains (LifeWatch-2019-10-UGR-01 Ministerio de Ciencia e Innovación/Universidad de Granada/FEDER)
DOI: 10.6084/m9.figshare.21077923
title: WFH Survey Data_Final.xlsx

description: The dataset we have reports survey responses. The survey was collected from 400 households in a large city in the western part of India. A method of stratified sampling was used where the city were divided into various areas and then households were selected on a random basis. Responses were collected from the head of the household. The survey asks questions when jobs moved Work-from-Home during the period of strictest lockdowns in India.The survey consists of questions asking about energy use at a household level during the pandemic, individual energy choices by the head of the household and transport choices when needed to go to office, among other questions. We think the dataset is rich and can be used for further research. As data were collected from human subjects, we undertook the approval process from the Ethics Committee of our insititution.
DOI: 10.3886/e122101v1-126840
title: Code for: Deduction Dilemmas: The Taiwan Assignment Mechanism

description: This submission contains the code and output to produce the figures in "Deduction Dilemmas: The Taiwan Assignment Mechanism." The files are MATLAB scripts.
DOI: 10.34740/kaggle/dsv/4188808
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.7068081
title: Removed Review Dataset

description: The app markets enable users to submit feedback for downloaded apps in the form of star ratings and text reviews, which are meant to be helpful and trustworthy for decision making to both developers and other users. App markets have released strict guidelines/policies for user review submissions. However, there has been growing evidence showing the untrustworthy and poor-quality of app reviews, making the App Store review environment a shambles. Therefore, review removal is a common practice, and market maintainers have to remove undesired reviews from the market periodically in a reactive manner. Although some reports and news outlets have mentioned removed reviews, our research community still lacks the comprehensive understanding of the landscape of this kind of reviews. We present a large-scale and longitudinal study of removed reviews in iOS App Store. We collaborate with our industry partner to collect over 30 million removed reviews for 33,665 popular apps over the course of a full year in 2020. We release the dataset (including both deleted and undeleted reviews) to the community. (Note that, we have packaged the deleted reviews in chunks due to the large size: delcomment_1.zip, delcomment_2.zip, delcomment_3.zip, delcomment_4.zip, delcomment_5.zip, delcomment_6.zip)
DOI: 10.5281/zenodo.7068080
title: Removed Review Dataset

description: The app markets enable users to submit feedback for downloaded apps in the form of star ratings and text reviews, which are meant to be helpful and trustworthy for decision making to both developers and other users. App markets have released strict guidelines/policies for user review submissions. However, there has been growing evidence showing the untrustworthy and poor-quality of app reviews, making the App Store review environment a shambles. Therefore, review removal is a common practice, and market maintainers have to remove undesired reviews from the market periodically in a reactive manner. Although some reports and news outlets have mentioned removed reviews, our research community still lacks the comprehensive understanding of the landscape of this kind of reviews. We present a large-scale and longitudinal study of removed reviews in iOS App Store. We collaborate with our industry partner to collect over 30 million removed reviews for 33,665 popular apps over the course of a full year in 2020. We release the dataset (including both deleted and undeleted reviews) to the community. (Note that, we have packaged the deleted reviews in chunks due to the large size: delcomment_1.zip, delcomment_2.zip, delcomment_3.zip, delcomment_4.zip, delcomment_5.zip, delcomment_6.zip)
DOI: 10.34740/kaggle/dsv/4188907
title: 2021 World Population (updated daily)
DOI: 10.34740/kaggle/dsv/4188944
title: Dutch News Articles
DOI: 10.6084/m9.figshare.21077437
title: raw data LM2021-11181.rar

description: peptides of serum
DOI: 10.6084/m9.figshare.21077437.v1
title: raw data LM2021-11181.rar

description: peptides of serum
DOI: 10.6084/m9.figshare.21077989
title: WikiConv 09-01-2022

description: Updated WikiConv talk page conversations from wikipedia.
DOI: 10.5281/zenodo.7068335
title: DA_2DCHROM - Sample dataset

description: Supplementary materials for appliacation of DA_2DCHROM - data alignment <pre>https://doi.org/10.5281/zenodo.7040975</pre> Content: data – folder for raw data full_dataset_alignment – 100 graphical comparisons of randomly picked pairs from full dataset graph_results – graphical representation of obtained results metadata – results of midsteps in data alignment process data folder: Subfolder Sample_dataset contains 20 sample chromatograms, each processed for S/N 100, 300 and 500 level full_dataset_alignment: 100 graphical comparisons of randomly picked pairs from full dataset. The pairs are same for both algorithms. graph_results folder: To reduce the total size of Supplementary materials, only results for S/N level 500 are exported. Each subfolder (names of folder correspond with the names of algorithms used through the study) contains numerical (K-S test) and graphical representation of the alignment. In case of failed alignment (not enough anchor points in case of BiPACE2D for example), the graphs are left blank. metadata folder: merged_peaks folder Folder containing formated data with merged peaks (results of preprocessing part of data_alignment_chromatography_v1.4 script) ref_data folder Lists of manually exported referential peaks for each chromatogram. Input data for RI algorhitm. time_correction folder Each algorithm subfolder contains the result of data alignment itself. For each aligned chromatogram, there are 3 files – aligned chromatogram itself (.txt file with the most bytes), lists of detected anchor peaks (.txt with _anchors extension), and simple graphical check of alignment itself (.png)
description: Funding - https://starfos.tacr.cz/en/project/VJ01010123
DOI: 10.6084/m9.figshare.21078073
title: pteroeides_caledonicum_zanfona_1.fasta.gz

description: ......
DOI: 10.6084/m9.figshare.21078073.v1
title: pteroeides_caledonicum_zanfona_1.fasta.gz

description: ......
DOI: 10.6084/m9.figshare.21078070
title: parazoanthus_atlanticus_zanfona_1.fasta.gz

description: ......
DOI: 10.6084/m9.figshare.21078070.v1
title: parazoanthus_atlanticus_zanfona_1.fasta.gz

description: ......
DOI: 10.6084/m9.figshare.21078082
title: umimayanthus_kanabou_zanfona_1.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.21078082.v1
title: umimayanthus_kanabou_zanfona_1.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.21078079
title: phymanthus_crucifer_zanfona_1.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.21078079.v1
title: phymanthus_crucifer_zanfona_1.fasta.gz

description: .......
DOI: 10.5281/zenodo.7068357
title: Teaching software processes from different application domains

description: In a current application development scenario in different environments, technologies and contexts, such as IoT, Blockchain, Machine Learning and Cloud Computing, there is a need for particular solutions for domain-specific software development processes. The proper definition of software processes requires understanding the involved teams and organization’s particularities and specialized technical knowledge in Software Engineering. Although it is an essential part of Software Engineering, many university curricula do not dedicate as much effort to teaching software processes, focusing more on the basic principles of Software Engineering, such as requirements, architecture and programming languages. Another important aspect of software processes is modeling. The modeling of a software process provides a basis for managing, automating and supporting the software processes improvement. In this context, teaching software processes modeling becomes challenging, mainly due to the great emphasis on theory and few practices. This work presents an experience report teaching the definition and modeling of software processes in different domains. We apply in the discipline of software processes a practice for defining and modeling processes in various application domains, such as: IoT, cloud, mobile, critical systems, self-adaptive systems and games. The processes were modeled in the EPF composer tool based on references from the literature for each domain. In the end, we evaluated the process modeling practice with the students. We concluded that the modeling tool and the maturity in the domain are essential for the good performance of the process.<br>
DOI: 10.5281/zenodo.7068356
title: Teaching software processes from different application domains

description: In a current application development scenario in different environments, technologies and contexts, such as IoT, Blockchain, Machine Learning and Cloud Computing, there is a need for particular solutions for domain-specific software development processes. The proper definition of software processes requires understanding the involved teams and organization’s particularities and specialized technical knowledge in Software Engineering. Although it is an essential part of Software Engineering, many university curricula do not dedicate as much effort to teaching software processes, focusing more on the basic principles of Software Engineering, such as requirements, architecture and programming languages. Another important aspect of software processes is modeling. The modeling of a software process provides a basis for managing, automating and supporting the software processes improvement. In this context, teaching software processes modeling becomes challenging, mainly due to the great emphasis on theory and few practices. This work presents an experience report teaching the definition and modeling of software processes in different domains. We apply in the discipline of software processes a practice for defining and modeling processes in various application domains, such as: IoT, cloud, mobile, critical systems, self-adaptive systems and games. The processes were modeled in the EPF composer tool based on references from the literature for each domain. In the end, we evaluated the process modeling practice with the students. We concluded that the modeling tool and the maturity in the domain are essential for the good performance of the process.<br>
DOI: 10.34740/kaggle/dsv/4189038
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.21078088
title: zoanthus_gigantus_zanfona_1.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.21078088.v1
title: zoanthus_gigantus_zanfona_1.fasta.gz

description: .......
DOI: 10.5281/zenodo.6969895
title: Data for: Repeatability of the 20th Century Earthquake Cluster in Mongolia: Paleoseismology along the Tsetserleg Fault (Mongolia)

description: This dataset is associated to the article "Repeatability of the 20<sup>th</sup> Century Earthquake Cluster in Mongolia: Paleoseismology along the Tsetserleg Fault (Mongolia)" submitted to Journal of Geophysical Research: Solid Earth. It includes the following: Dataset S1 includes the output of the horizontal offset measurements performed with the LaDiCaOz Matlab GUI. Dataset S2 includes the drone DEMs.
description: The offset measurements were all done using the drone DEMs. The fault line and piercing points were drawn relying on shaded reliefs and contour maps. For each marker, we provide (i) the tracing of the fault and piercing lines, and the positions of the cross-sectional topographic swath profiles, (ii) the topographic swath profiles across the marker at each side of the fault, (iii) the longitudinal topographic swath profiles along the piercing lines and their projection on the fault line, (iv) the minimum, optimal, and maximum reconstructions for the original morphology using the optimal value of vertical offset, (v) the cross-sectional profiles for the current morphology and optimal reconstruction, with the misfit curves for horizontal and vertical displacements, (vi) the longitudinal profiles obtained for the optimal value of vertical offset. The digital elevation models of the study sites were processed from drone photographs with MicMac. This work was supported by the French ANR DISRUPT (ANR-18-CE31-0012). Numerical computations were performed on the S-CAPAD/DANTE platform, IPGP, France. A. Langraf, G. Bayasgalan and A. Munksaikhan were supported by the Volkswagen Foundation (grant AZ 86860 to O. Korup & A. Landgraf).
DOI: 10.5281/zenodo.6969894
title: Data for: Repeatability of the 20th Century Earthquake Cluster in Mongolia: Paleoseismology along the Tsetserleg Fault (Mongolia)

description: This dataset is associated to the article "Repeatability of the 20<sup>th</sup> Century Earthquake Cluster in Mongolia: Paleoseismology along the Tsetserleg Fault (Mongolia)" submitted to Journal of Geophysical Research: Solid Earth. It includes the following: Dataset S1 includes the output of the horizontal offset measurements performed with the LaDiCaOz Matlab GUI. Dataset S2 includes the drone DEMs.
description: The offset measurements were all done using the drone DEMs. The fault line and piercing points were drawn relying on shaded reliefs and contour maps. For each marker, we provide (i) the tracing of the fault and piercing lines, and the positions of the cross-sectional topographic swath profiles, (ii) the topographic swath profiles across the marker at each side of the fault, (iii) the longitudinal topographic swath profiles along the piercing lines and their projection on the fault line, (iv) the minimum, optimal, and maximum reconstructions for the original morphology using the optimal value of vertical offset, (v) the cross-sectional profiles for the current morphology and optimal reconstruction, with the misfit curves for horizontal and vertical displacements, (vi) the longitudinal profiles obtained for the optimal value of vertical offset. The digital elevation models of the study sites were processed from drone photographs with MicMac. This work was supported by the French ANR DISRUPT (ANR-18-CE31-0012). Numerical computations were performed on the S-CAPAD/DANTE platform, IPGP, France. A. Langraf, G. Bayasgalan and A. Munksaikhan were supported by the Volkswagen Foundation (grant AZ 86860 to O. Korup & A. Landgraf).
DOI: 10.6084/m9.figshare.19317821
title: Supplementary Data: The Role of Industry 4.0 in Manufacturing Sustainability Assessment

description: This dataset contains the list of publications compiled for the meta-analysis of relevant literature (Section 3) in the above article. Please refer to the following article for details: <br> Ramanujan D., Bernstein W.Z., Diaz-Elsayed N., & Haapala K. (2022). The Role of Industry 4.0 Technologies in Manufacturing Sustainability Assessment. ASME Journal of Manufacturing Science and Engineering (accepted) <br> <br> The CSV file "dataset_wide_review.csv" contains articles detailed in Section 3.1.1 <br> The CSV file "dataset_focused_review.csv" contains articles detailed in Section 3.1.2<br>
DOI: 10.6084/m9.figshare.19317821.v2
title: Supplementary Data: The Role of Industry 4.0 in Manufacturing Sustainability Assessment

description: Please refer to the following article for details:<br>Ramanujan D., Bernstein W.Z., Diaz-Elsayed N., & Haapala K. (2019). The Role of Industry 4.0 Technologies in Manufacturing Sustainability Assessment. ASME Manufacturing Science and Engineering Conference (accepted)<br>This dataset contains the list of publications compiled for the meta-analysis of relevant literature (Section 3) in the above article. <br>The CSV file "dataset_wide_review.csv" contains articles detailed in Section 3.1.1 <br>The CSV file "dataset_focused_review.csv" contains articles detailed in Section 3.1.2 <br>
DOI: 10.6084/m9.figshare.21078130
title: umimayanthus_nakama_zanfona_1.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.21078130.v1
title: umimayanthus_nakama_zanfona_1.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.21078133
title: parazoanthus_darwini_zanfona_1.fasta.gz

description: ........
DOI: 10.6084/m9.figshare.21078133.v1
title: parazoanthus_darwini_zanfona_1.fasta.gz

description: ........
DOI: 10.6084/m9.figshare.21078136.v1
title: DATA

description: This is Metadata for real-time impact-force measurements and field observations of debris flows recorded by a sensor network in Jiangjia Ravine, China. We observed 49 debris flows during and after a storm on August 25, 2004, including 42 debris-flow surges and seven continuous debris flows.
DOI: 10.5281/zenodo.7068165
title: Datensätze meiner Bachelorarbeit

description: Hier befinden sich die Datensätze meiner Bachelorarbeit.
DOI: 10.5281/zenodo.7068164
title: Datensätze meiner Bachelorarbeit

description: Hier befinden sich die Datensätze meiner Bachelorarbeit.
DOI: 10.6084/m9.figshare.21078178
title: Playback recording

description: Playback recording employed during the field tests
DOI: 10.6084/m9.figshare.21078178.v1
title: Playback recording

description: Playback recording employed during the field tests
DOI: 10.6084/m9.figshare.21078172
title: zoanthus_sociatus_zanfona_1.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.21078172.v1
title: zoanthus_sociatus_zanfona_1.fasta.gz

description: .......
DOI: 10.34740/kaggle/dsv/4189380
title: Elon Musk Tweets
DOI: 10.6084/m9.figshare.21078181
title: isaurus_tuberculatus_zanfona_1.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.21078181.v1
title: isaurus_tuberculatus_zanfona_1.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.12783650
title: Duxbury_et-al_2022_Evolution_MA_combined_raw_data_FIGSHARE.xlsx

description: Raw data including metadata for Duxbury_et-al_2022 <strong>Multigenerational downregulation of insulin/IGF-1 signalling in adulthood improves lineage survival, reproduction, and fitness in </strong><em><strong>C. elegans</strong></em><strong> supporting the developmental theory of ageing</strong>
DOI: 10.6084/m9.figshare.12783650.v1
title: Duxbury_et-al_2022_Evolution_MA_combined_raw_data_FIGSHARE.xlsx

description: Raw data including metadata for Duxbury_et-al_2022 <strong>Multigenerational downregulation of insulin/IGF-1 signalling in adulthood improves lineage survival, reproduction, and fitness in </strong><em><strong>C. elegans</strong></em><strong> supporting the developmental theory of ageing</strong>
DOI: 10.34740/kaggle/dsv/4189434
title: Mahanagar Yatayat Dataset