cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13213829.v1
title: Supplementary Material for: Chromosomal Locations of a Non-LTR Retrotransposon, <b><i>Menolird18</i></b>, in <b><i>Cucumis melo</i></b> and <b><i>Cucumis sativus</i></b>, and Its Implication on Genome Evolution of <b><i>Cucumis</i></b> Species

description: Mobile elements are major regulators of genome evolution through their effects on genome size and chromosome structure in higher organisms. Non-long terminal repeat (non-LTR) retrotransposons, one of the subclasses of transposons, are specifically inserted into repetitive DNA sequences. While studies on the insertion of non-LTR retrotransposons into ribosomal RNA genes and other repetitive DNA sequences have been reported in the animal kingdom, studies in the plant kingdom are limited. Here, using FISH, we confirmed that <i>Menolird18</i>, a member of LINE (long interspersed nuclear element) in non-LTR retrotransposons and found in <i>Cucumis melo</i>, was inserted into ITS and ETS (internal and external transcribed spacers) regions of 18S rDNA in melon and cucumber. Beside the 18S rDNA regions, <i>Menolird18</i> was also detected in all centromeric regions of melon, while it was located at pericentromeric and sub-telomeric regions in cucumber. The fact that FISH signals of <i>Menolird18</i> were found in centromeric and rDNA regions of mitotic chromosomes suggests that <i>Menolird18</i> is a rDNA and centromere-specific non-LTR retrotransposon in melon. Our findings are the first report on a non-LTR retrotransposon that is highly conserved in 2 different plant species, melon and cucumber. The clear distinction of chromosomal localization of <i>Menolird18</i> in melon and cucumber implies that it might have been involved in the evolutionary processes of the melon (<i>C. melo</i>) and cucumber (<i>C. sativus</i>) genomes.
DOI: 10.6084/m9.figshare.13213850
title: InsectGap Map Protocol for Review of Reviews

description: Supplementary files for a systematic map of insect conservation action research
DOI: 10.6084/m9.figshare.13213850.v1
title: InsectGap Map Protocol for Review of Reviews

description: Supplementary files for a systematic map of insect conservation action research
DOI: 10.15161/oar.it/73243
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.21227/asms-mz60
title: wind 3

description: This dataset is in support of Research Paper " Grid-Connected Wind " submitted to "IEEE Transactions on Energy Conversion".
DOI: 10.21227/9jyn-g875
title: wind-Part 2

description: This dataset is in support of Research Paper " Grid-Connected Wind " submitted to "IEEE Transactions on Energy Conversion".
DOI: 10.21227/791a-nr10
title: Solar

description: This dataset is in support of Research Paper " Solar " submitted to "IEEE Transactions on Energy Conversion".Abstract of the above submitted paper
DOI: 10.21227/g3z0-gs09
title: solar 2

description: This dataset is in support of Research Paper " Solar " submitted to "IEEE Transactions on Energy Conversion".Abstract of the above submitted paper
DOI: 10.21227/71z4-ra75
title: wind -Part 1

description: This dataset is in support of Research Paper " Grid-Connected Wind " submitted to "IEEE Transactions on Energy Conversion".Abstract of the above submitted paper
DOI: 10.21227/3hz1-sy93
title: Cardio Data

description: Data used were from the following: Kaggle cardiovascular dataset available at https://www.kaggle.com/sulianova/cardiovascular-disease-dataset; UCI machine learning Cleveland and Hungarian heart disease dataset available at http://archive.ics.uci.edu/ml/machine-learning-databases/heart-disease/ and available from the corresponding author upon request.
DOI: 10.21227/p8fk-xa48
title: Solar

description: This dataset is in support of Research Paper " Solar " submitted to "IEEE Transactions on Energy Conversion".Abstract of the above submitted paper
DOI: 10.5281/zenodo.4266122
title: Data regarding the application of the inverse modeling (TsuSedMod) to the sediment deposits of CE 1755 Lisbon tsunami at Salgados, Algarve (Portugal)

description: This dataset contains data used to run TsuSedMod model. It contains the vertical textural distribution of 4 sediment samples (LV09, LV11,LV11a and LV13) retrieved at Salgados, southern Portugal<br> and respective results.
description: Funded by Fundação para a Ciência e Tecnologia through PTDC/CTA-GEO/28941/2019 - OnOff Project: Coupling onshore and offshore tsunami record: complementary tools for a broader perspective on tsunami events
DOI: 10.5281/zenodo.4266121
title: Data regarding the application of the inverse modeling (TsuSedMod) to the sediment deposits of CE 1755 Lisbon tsunami at Salgados, Algarve (Portugal)

description: This dataset contains data used to run TsuSedMod model. It contains the vertical textural distribution of 4 sediment samples (LV09, LV11,LV11a and LV13) retrieved at Salgados, southern Portugal<br> and respective results.
description: Funded by Fundação para a Ciência e Tecnologia through PTDC/CTA-GEO/28941/2019 - OnOff Project: Coupling onshore and offshore tsunami record: complementary tools for a broader perspective on tsunami events
DOI: 10.21227/9dqg-hf92
title: Cardiovascular Disease Dataset

description: Data used were from the following: Kaggle cardiovascular dataset available at https://www.kaggle.com/sulianova/cardiovascular-disease-dataset; UCI machine learning Cleveland and Hungarian heart disease dataset available at http://archive.ics.uci.edu/ml/machine-learning-databases/heart-disease/ and available from the corresponding author upon request.
DOI: 10.6084/m9.figshare.13213865
title: Supplementary Material for: The Introduction of Laparoscopic Colorectal Surgery: Can It Improve Hospital Economics?

description: <b><i>Introduction:</i></b> Clinical benefits of laparoscopic surgery are well established, but evidence for financial benefits is limited. This study aimed to compare the financial impact of the introduction of laparoscopic colorectal surgery. <b><i>Methods:</i></b> This study included patients who underwent colorectal surgery between January 2010 and 2015. We collected a range of financial data and divided the patients into 2 groups. Primary outcome was total cost defined by surgical-related costs. <b><i>Results:</i></b> A total of 1,246 patients were included, of which 440 surgeries were performed laparoscopically. The total median cost of laparoscopy was higher compared to open surgery (EUR 4,665 vs. EUR 4,268, <i>p</i> = 0.001). Laparoscopy was associated with higher equipment costs (EUR 857 vs. EUR 232, <i>p</i> &lt; 0.001), longer operating time (3.2 vs. 2.5 hours, <i>p</i> &lt; 0.001), and more readmissions (10.9 vs. 8.5%, <i>p</i> &lt; 0.001). However, after adjusting for heterogeneity, no difference was found in total cost. Surgical-related costs were counterbalanced by lower costs associated with shorter median hospital stay (6 vs. 9 days, <i>p</i> &lt; 0.001), less morbidity (37.3 vs. 55.1%, <i>p</i> &lt; 0.001), and less mortality (1.8 vs. 5.6%, <i>p</i> = 0.013) for laparoscopy. <b><i>Conclusion:</i></b> During the introduction of laparoscopy for colorectal surgery, no significant differences were found in total cost between laparoscopic and open colorectal surgery. However, favorable postoperative outcomes were achieved with laparoscopic surgery.
DOI: 10.21227/zfvz-3y49
title: Cardiovascular Disease Dataset

description: Data used were from the following: Kaggle cardiovascular dataset available at https://www.kaggle.com/sulianova/cardiovascular-disease-dataset; UCI machine learning Cleveland and Hungarian heart disease dataset available at http://archive.ics.uci.edu/ml/machine-learning-databases/heart-disease/ and available from the corresponding author upon request.
DOI: 10.21227/m9zf-an23
title: wind -Part 1

description: This dataset is in support of Research Paper " Grid-Connected Wind " submitted to "IEEE Transactions on Energy Conversion".Abstract of the above submitted paper
DOI: 10.5525/gla.researchdata.1062
title: Highly Nonlinear Transport Across Single-Molecule Junctions via Destructive Quantum Interference

description: Please note that the data files associated with this record are embargoed until the associated research article is published.
DOI: 10.21227/6m05-ab08
title: wind -Part 1

description: This dataset is in support of Research Paper " Grid-Connected Wind " submitted to "IEEE Transactions on Energy Conversion".Abstract of the above submitted paper
DOI: 10.5281/zenodo.4266151
title: Data set on Energy Efficiency potentials on top of reference scenarios

description: As it is not possible to include the entire dataset in this report, we only include the Energy Efficiency potentials for Austria. The full dataset, showing the savings potentials for all EU27 (and UK) countries, is available upon request to the project coordinator.
DOI: 10.5281/zenodo.4266150
title: Data set on Energy Efficiency potentials on top of reference scenarios

description: As it is not possible to include the entire dataset in this report, we only include the Energy Efficiency potentials for Austria. The full dataset, showing the savings potentials for all EU27 (and UK) countries, is available upon request to the project coordinator.
DOI: 10.21227/crvm-yy30
title: Cardiovascular Disease Dataset

description: The dataset was collected from the following: Kaggle cardiovascular dataset available at https://www.kaggle.com/sulianova/cardiovascular-disease-dataset; UCI machine learning Cleveland and Hungarian heart disease dataset available at http://archive.ics.uci.edu/ml/machine-learning-databases/heart-disease/ and available from the corresponding author upon request.
DOI: 10.5281/zenodo.4266099
title: GitHub Java Corpus - Function Identifiers

description: This dataset contains function identifiers extracted from the GitHub Java Corpus (http://groups.inf.ed.ac.uk/cup/javaGithub/). Each line corresponds to a method declaration. A line contains the name of the method declaration followed by the function identifiers (i.e., function calls) contained within the method body. The file embeddings_train.json can be used to train a word/sentence embedding model using the code in the Github repository (link below). The corpus was used for the experiments in the paper <strong>Combining Code Embedding with Static Analysis for Function-Call Completion</strong>. Github repository to replicate the experiments: https://github.com/mweyssow/cse-saner
DOI: 10.5281/zenodo.4084569
title: GitHub Java Corpus - Function Identifiers

description: This dataset contains function identifiers extracted from the GitHub Java Corpus (http://groups.inf.ed.ac.uk/cup/javaGithub/). Each line corresponds to a method declaration. A line contains the name of the method declaration followed by the function identifiers (i.e., function calls) contained within the method body. The file embeddings_train.json can be used to train a word/sentence embedding model using the code in the Github repository (link below). The corpus was used for the experiments in the paper <strong>Combining Code Embedding with Static Analysis for Function-Call Completion</strong>. Github repository to replicate the experiments: https://github.com/mweyssow/cse-saner
DOI: 10.5517/ccdc.csd.cc23rzkf
title: CCDC 1959465: Experimental Crystal Structure Determination

description: Related Article: Dan E. Wise, Aimee J. Gamble, Sham W. Arkawazi, Paul H. Walton, M. Carmen Galan, Michael P. O'Hagan, Karen G. Hogg, Joanne L. Marrison, Peter J. O'Toole, Hazel A. Sparkes, Jason M. Lynam, Paul G. Pringle|2020|Dalton Trans.|49|15219|doi:10.1039/D0DT02612C
DOI: 10.5281/zenodo.4266164
title: Data set with reference scenarios

description: Data set with reference scenarios. As it is not possible to include the entire dataset in this report, we only include two Tables on final energy demand. Table 1 shows the Final Energy Demand projections per industrial subsector and EU28 country in the Reference Scenario and Table 2 the Final Energy Demand projections per industrial subsector and EU28 country in the Frozen Efficiency Scenario. The full dataset, including physical production (in ktonnes) and fuel and electricity demand (in TJ) per industrial sub-sector, per fuel type and per EU 28 country is available upon request to the project coordinator.
DOI: 10.5281/zenodo.4266163
title: Data set with reference scenarios

description: Data set with reference scenarios. As it is not possible to include the entire dataset in this report, we only include two Tables on final energy demand. Table 1 shows the Final Energy Demand projections per industrial subsector and EU28 country in the Reference Scenario and Table 2 the Final Energy Demand projections per industrial subsector and EU28 country in the Frozen Efficiency Scenario. The full dataset, including physical production (in ktonnes) and fuel and electricity demand (in TJ) per industrial sub-sector, per fuel type and per EU 28 country is available upon request to the project coordinator.
DOI: 10.6084/m9.figshare.8094515
title: Model files for CTseg

description: These are the old model files for the CTseg software [1], which are no longer being used.<br><br>1. https://github.com/WCHN/CTseg
DOI: 10.6084/m9.figshare.8094515.v4
title: Model files for CTseg

description: These are the old model files for the CTseg software [1], which are no longer being used.<br><br>1. https://github.com/WCHN/CTseg
DOI: 10.5281/zenodo.4265898
title: Self-contained 4-BSS's dataset of spectrum management in WLANs

description: This folder contains the self-contained dataset of 4 BSS's analyzed in the thesis by <em>Sergio Barrachina-Muñoz, "Responsive Spectrum Management for Wireless Local Area Networks: from Heuristic-based Policies to Model-Free Reinforcement Learning", 2020</em>. -------------------------------------------------------------<br> <strong>*** General info ***</strong> The dataset has been generated simulating all the spectrum management configurations (including primary channel and maximum bandwidth) in a 4-BSS's deploymment. Simulations have been performed with the Komondor wireless network simulator (https://github.com/wn-upf/Komondor). <strong>*** Dataset structure ***</strong> The dataset is composed of 1 file, dataset.csv, containing all the combinations of spectrum management configurations. <strong>*** File format ***</strong> The dataset.csv file is composed of 53 columns and 1679616 rows. <br> - Each column is a parameter or performance metric of the global spectrum management configuration, i.e., the configuration of all the BSS's.<br> - Each row is a realization of the global configuration.<br> - Column sim_code refers to the simulation code. The colums for each BSS are (only showing for BSS A):<br> - bss_A_code: code of the BSS<br> - action_ix_A: action (or BSS configuration) index<br> - status_ix_A: status index (combination of action and traffic load)<br> - primary_A: primary channel of the BSS<br> - max_bw_ix_A: index of the maximum allowed bandwidth of the BSS<br> - load_ix_A: traffic load index of the BSS<br> - load_A: traffic load [pkt/s] of the BSS<br> - thr_A: throughput [Mbps] of the BSS<br> - d_A: packet delay [ms] of the BSS<br> - rts_lost_A: number of RTS lost by BSS A<br> - rts_sent_A: number of RTS sent by BSS A<br> - frames_lost_A: number of frames lost by BSS A<br> - frames_sent_A: number of frames sent by BSS A
DOI: 10.5281/zenodo.4265897
title: Self-contained 4-BSS's dataset of spectrum management in WLANs

description: This folder contains the self-contained dataset of 4 BSS's analyzed in the thesis by <em>Sergio Barrachina-Muñoz, "Responsive Spectrum Management for Wireless Local Area Networks: from Heuristic-based Policies to Model-Free Reinforcement Learning", 2020</em>. -------------------------------------------------------------<br> <strong>*** General info ***</strong> The dataset has been generated simulating all the spectrum management configurations (including primary channel and maximum bandwidth) in a 4-BSS's deploymment. Simulations have been performed with the Komondor wireless network simulator (https://github.com/wn-upf/Komondor). <strong>*** Dataset structure ***</strong> The dataset is composed of 1 file, dataset.csv, containing all the combinations of spectrum management configurations. <strong>*** File format ***</strong> The dataset.csv file is composed of 53 columns and 1679616 rows. <br> - Each column is a parameter or performance metric of the global spectrum management configuration, i.e., the configuration of all the BSS's.<br> - Each row is a realization of the global configuration.<br> - Column sim_code refers to the simulation code. The colums for each BSS are (only showing for BSS A):<br> - bss_A_code: code of the BSS<br> - action_ix_A: action (or BSS configuration) index<br> - status_ix_A: status index (combination of action and traffic load)<br> - primary_A: primary channel of the BSS<br> - max_bw_ix_A: index of the maximum allowed bandwidth of the BSS<br> - load_ix_A: traffic load index of the BSS<br> - load_A: traffic load [pkt/s] of the BSS<br> - thr_A: throughput [Mbps] of the BSS<br> - d_A: packet delay [ms] of the BSS<br> - rts_lost_A: number of RTS lost by BSS A<br> - rts_sent_A: number of RTS sent by BSS A<br> - frames_lost_A: number of frames lost by BSS A<br> - frames_sent_A: number of frames sent by BSS A
DOI: 10.6084/m9.figshare.13175987
title: The soil seed bank can buffer long-term compositional changes in annual plant communities

description: Data files and R codes for the paper "The soil seed bank can buffer long-term compositional changes in annual plant communities"DeMalach, Niv; Kigel, Jaime; Sternberg, Marcelo<br>To run the code, please download all files to the same working directory<br>Code files1.functions_sees_bank_analysis.R - a file containing all the functions used in the analyses2. main_script_seed_bank_composition.R - the main script that includes all the analyses<br>Data filesMatta – the Mediterranean siteLahav – the semiarid siteSdeboker – the arid site<br>3. species_list_matta.csv - list of species and traits 4. species_list_lahav.csv - list of species and traits 5. species_list_sdeboker.csv - list of species and traits 6. matta_control.csv - the relative abundance of all species in the seed bank and thethe vegetation throughout the years.7. matta_control2.csv – the same as 6 but only for species with trait data available8. lahav_control.csv - the relative abundance of all species in the seed bank and thethe vegetation throughout the years.9. lahav_control2.csv – the same as 8 but only for species with trait data available10. lahav_control.csv - the relative abundance of all species in the seed bank and thethe vegetation throughout the years.11. lahav_control2.csv – the same as 10 but only for species with trait data available<br><br><br>
DOI: 10.5281/zenodo.3670055
title: The Archaeology of Vidarbha, Maharashtra: 2016 Regional Survey Data

description: <strong>This dataset comprises the results of regional archaeological surveys carried out in Vidarbha in 2016 under the directorship of Dr. Riza Abbas, INHCRF, with official permission granted by the Archaeological Survey of India.</strong> This upload contains the following data groups: photographs, site plans, and written records of all archaeological sites and remains encountered during survey. This dataset is released under a Creative Commons Attribution 4.0 International licence (CC-BY). For the terms of the licence see: https://creativecommons.org/licenses/by/4.0/legalcode If reused, please cited as: Abbas, R., Toraskar, S. and Hawles, J. (2020). The Archaeology of Vidarbha, Maharashtra: 2016 Regional Survey Data. Dataset. http://doi.org/10.5281/zenodo.3668997. For further information about this dataset, including details of the context, methods used to collected data, and ways in which they can be reused, see: Abbas, R., Toraskar, S. and Hawkes, J. (2020 Under Review). Multi-period regional survey data from Vidarbha, Maharashtra, India. <em>Journal of Open Archaeological Data</em>.
DOI: 10.5281/zenodo.3668996
title: The Archaeology of Vidarbha, Maharashtra: 2016 Regional Survey Data

description: <strong>This dataset comprises the results of regional archaeological surveys carried out in Vidarbha in 2016 under the directorship of Dr. Riza Abbas, INHCRF, with official permission granted by the Archaeological Survey of India.</strong> This upload contains the following data groups: photographs, site plans, and written records of all archaeological sites and remains encountered during survey. This dataset is released under a Creative Commons Attribution 4.0 International licence (CC-BY). For the terms of the licence see: https://creativecommons.org/licenses/by/4.0/legalcode If reused, please cited as: Abbas, R., Toraskar, S. and Hawles, J. (2020). The Archaeology of Vidarbha, Maharashtra: 2016 Regional Survey Data. Dataset. http://doi.org/10.5281/zenodo.3668997. For further information about this dataset, including details of the context, methods used to collected data, and ways in which they can be reused, see: Abbas, R., Toraskar, S. and Hawkes, J. (2020 Under Review). Multi-period regional survey data from Vidarbha, Maharashtra, India. <em>Journal of Open Archaeological Data</em>.
DOI: 10.5281/zenodo.3932955
title: Data for "Influence of Arctic microlayers and algal cultures on sea spray hygroscopicity and the possible implications for mixed-phase clouds"

description: Dataset and data analysis for the paper on "Influence of Arctic microlayers and algal cultures on sea spray hygroscopicity and the possible implications for mixed-phase clouds" published in <em>Journal of Geophysical Research: Atmospheres. </em> The folder "CCN data analysis" contains the measured raw and processed CCN data, data analysis and presentation of the data (Figure 2-4). <br> The fold "Modelling" gives the post-processed model output used for producing figures 5-10.
DOI: 10.5281/zenodo.3932954
title: Data for "Influence of Arctic microlayers and algal cultures on sea spray hygroscopicity and the possible implications for mixed-phase clouds"

description: Dataset and data analysis for the paper on "Influence of Arctic microlayers and algal cultures on sea spray hygroscopicity and the possible implications for mixed-phase clouds" published in <em>Journal of Geophysical Research: Atmospheres. </em> The folder "CCN data analysis" contains the measured raw and processed CCN data, data analysis and presentation of the data (Figure 2-4). <br> The fold "Modelling" gives the post-processed model output used for producing figures 5-10.
DOI: 10.5519/qd.s4d61e2t
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (32 records)
DOI: 10.17632/99rmg8zbwg.1
title: Microplastics in Wild and Caged Mussels in Scotland, UK, and in Household Dust Downfall During a Meal (Edinburgh, UK)
DOI: 10.5525/gla.researchdata.1075
title: Accelerometry-assessed sleep duration and timing in late childhood and adolescence in Scottish schoolchildren: a feasibility study.
DOI: 10.15468/bng3jq
title: Karyology of eight species of bats (Mammalia: Chiroptera) from Hainan Island, China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Wu, Yi, Motokawa, Masaharu, Li, Yu-Chun, Harada, Masashi, Chen, Zhong, Lin, Liang-Kong (2009): Karyology of eight species of bats (Mammalia: Chiroptera) from Hainan Island, China. International Journal of Biological Sciences 5 (7): 659-666, DOI: 10.7150/ijbs.5.659, URL: http://dx.doi.org/10.7150/ijbs.5.659