cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7165531.v2
title: EverDrill borehole thermometry datasets

description: Datasets from the EverDrill project, measuring ice temperatures within Khumbu Glacier, Nepal, as published in Miles et al. (2018) entitled: <i>'Polythermal structure of a Himalayan debris-covered glacier revealed by borehole thermometry'</i>. Please cite this paper if using this data: <br><i>Miles, K.E., Hubbard, B., Quincey, D.J., Miles, E.S., Sherpa, T.C., Rowan, A.V. and Doyle, S.H. (2018), Polythermal structure of a Himalayan debris-covered glacier revealed by borehole thermometry, Scientific Reports, 8, 16825, </i>https://doi.org/10.1038/s41598-018-34327-5<i><br></i><i></i><br><b>Contents</b>1. <b>ED_Site1_Sensors_2017</b>: Instrumented borehole location at Site 1 and thermistor sensor depths<br>2. <b>ED_Site2_Sensors_2017</b>: Instrumented borehole location at Site 2 and thermistor sensor depths<br>3. <b>ED_Site3_Sensors_2017</b>: Instrumented borehole location at Site 3 and thermistor sensor depths<br>4. <b>ED_Site1_ThermistorRecords_2017</b>: Temperature time series from the Site 1 thermistor string at 10 min intervals (10 to 27 May 2017)<br>5. <b>ED_Site2_ThermistorRecords_2017</b>: Temperature time series from the Site 2 thermistor string at 10 min intervals (17 May to 20 October 2017)<br>6. <b>ED_Site3_ThermistorRecords_2017</b>: Temperature time series from the Site 3 thermistor string at 10 min intervals (23 May to 25 October 2017)
DOI: 10.5281/zenodo.4146954
title: Data for tests of the NicheMapR transient heat budget modelling code

description: This data set and code is used to test the ability of the transient heat budget modelling code in the R package NicheMapR (functions 'onelump_var', 'twolump' and 'trans_behav') against inanimate objects (fruit, pipes) and real lizards (a small and a large lizard who's activity and body temperatures were observed on the same day at an arid locality in central Australia). It generates the figures and statistics reported as supplementary information for the paper: Kearney, M. R. et al. 2020. Modeling the joint effects of body size and microclimate on heat budgets and foraging opportunities of ectotherms. - Methods in Ecology and Evolution in press. See the latter paper for more details. To run the code the package NicheMapR must be installed.
DOI: 10.5281/zenodo.4146953
title: Data for tests of the NicheMapR transient heat budget modelling code

description: This data set and code is used to test the ability of the transient heat budget modelling code in the R package NicheMapR (functions 'onelump_var', 'twolump' and 'trans_behav') against inanimate objects (fruit, pipes) and real lizards (a small and a large lizard who's activity and body temperatures were observed on the same day at an arid locality in central Australia). It generates the figures and statistics reported as supplementary information for the paper: Kearney, M. R. et al. 2020. Modeling the joint effects of body size and microclimate on heat budgets and foraging opportunities of ectotherms. - Methods in Ecology and Evolution in press. See the latter paper for more details. To run the code the package NicheMapR must be installed.
DOI: 10.21227/85nv-7315
title: Baseline 12

description: Baseline 12
DOI: 10.6084/m9.figshare.13153422
title: Appendix S3 for The signature of competition in ecomorphological traits across the avian radiation

description: Appendix S3. The evolution of various ecomorphological traits across 52 avian clades. Model parameters and support are reported, as well as support for competition (i.e. support for a trait or diversity dependent model at two AICc units difference from any model assuming lineages evolve independently). Models are fitted with biogeographic reconstructions.
DOI: 10.6084/m9.figshare.13153425
title: Appendix S1 for The signature of competition in ecomorphological traits across the avian radiation

description: Appendix S1. Ecomorphological data for 8,748 bird species
DOI: 10.6084/m9.figshare.13153428
title: Appendix S5 for The signature of competition in ecomorphological traits across the avian radiation

description: Appendix S5. The evolution of various ecomorphological traits across 54 avian clades. Phylogenetic trees for the models are built using only species for which genetic data was available. Model parameters and support are reported, as well as support for competition (i.e. support for a trait or diversity dependent model at two AICc units difference from any model assuming lineages evolve independently).
DOI: 10.6084/m9.figshare.13153428.v1
title: Appendix S5 for The signature of competition in ecomorphological traits across the avian radiation

description: Appendix S5. The evolution of various ecomorphological traits across 54 avian clades. Phylogenetic trees for the models are built using only species for which genetic data was available. Model parameters and support are reported, as well as support for competition (i.e. support for a trait or diversity dependent model at two AICc units difference from any model assuming lineages evolve independently).
DOI: 10.6084/m9.figshare.13153425.v1
title: Appendix S1 for The signature of competition in ecomorphological traits across the avian radiation

description: Appendix S1. Ecomorphological data for 8,748 bird species
DOI: 10.6084/m9.figshare.13153422.v1
title: Appendix S3 for The signature of competition in ecomorphological traits across the avian radiation

description: Appendix S3. The evolution of various ecomorphological traits across 52 avian clades. Model parameters and support are reported, as well as support for competition (i.e. support for a trait or diversity dependent model at two AICc units difference from any model assuming lineages evolve independently). Models are fitted with biogeographic reconstructions.
DOI: 10.6084/m9.figshare.13153437
title: Appendix S2 for The signature of competition in ecomorphological traits across the avian radiation

description: Appendix S2. The evolution of various ecomorphological traits across 59 avian clades. Model parameters and support are reported, as well as support for competition (i.e. support for a trait or diversity dependent model at two AICc units difference from any model assuming lineages evolve independently).
DOI: 10.6084/m9.figshare.13153434
title: Appendix S4 for The signature of competition in ecomorphological traits across the avian radiation

description: Appendix S4. The evolution of various ecomorphological traits across 93 avian clades. Model parameters and support are reported, as well as support for competition (i.e. support for a trait or diversity dependent model at two AICc units difference from any model assuming lineages evolve independently). Clades are named using avian orders and super-families, and, if clades represent recent radiations within orders and super-families, the node number of the most recent common ancestor for each radiation is marked.
DOI: 10.6084/m9.figshare.13153434.v1
title: Appendix S4 for The signature of competition in ecomorphological traits across the avian radiation

description: Appendix S4. The evolution of various ecomorphological traits across 93 avian clades. Model parameters and support are reported, as well as support for competition (i.e. support for a trait or diversity dependent model at two AICc units difference from any model assuming lineages evolve independently). Clades are named using avian orders and super-families, and, if clades represent recent radiations within orders and super-families, the node number of the most recent common ancestor for each radiation is marked.
DOI: 10.6084/m9.figshare.13153437.v1
title: Appendix S2 for The signature of competition in ecomorphological traits across the avian radiation

description: Appendix S2. The evolution of various ecomorphological traits across 59 avian clades. Model parameters and support are reported, as well as support for competition (i.e. support for a trait or diversity dependent model at two AICc units difference from any model assuming lineages evolve independently).
DOI: 10.6084/m9.figshare.13153440.v1
title: Appendix S6 for The signature of competition in ecomorphological traits across the avian radiation

description: Appendix S6. The evolution of beak shape as quantified by a phylogenetic principal component analysis across 59 avian clades. Model parameters and support are reported, as well as support for competition (i.e. support for a trait or diversity dependent model at two AICc units difference from any model assuming lineages evolve independently).
DOI: 10.6084/m9.figshare.13153440
title: Appendix S6 for The signature of competition in ecomorphological traits across the avian radiation

description: Appendix S6. The evolution of beak shape as quantified by a phylogenetic principal component analysis across 59 avian clades. Model parameters and support are reported, as well as support for competition (i.e. support for a trait or diversity dependent model at two AICc units difference from any model assuming lineages evolve independently).
DOI: 10.17894/ucph.b2d7ebfb-c69c-4c97-bee7-562edde5ce66
title: Light Response Function Modelled Gross Primary Production

description: Gross primary production (GPP) based on the Light response function as described in Tagesson et al (accepted in Global Change Biology). Annual GPP (g C m-2 y-1) is located under the folder "Annual_LRF_GPP", and the daily GPP (g C m-2 d-1) is located under the folder "Daily_LRF_GPP". In each of the folders there is a matlab script that can be used to read the data. Reference: Torbern Tagesson, Feng Tian, Guy Schurgers, Stephanie Horion, Robert Scholes, Anders Ahlström, Jonas Ardö, Alvaro Moreno, Nima Madani, Stefan Olin, Rasmus Fensholt, A physiology-based Earth observation model indicate stagnation in the global gross primary production during recent decades, Global Change Biology
DOI: 10.6084/m9.figshare.13153451
title: Table.pdf

description: 3 AFT ages from a vertical profil located along the Muli thrust, a major tectonic structure of the south-eastern margin of the Tibetan plateau
DOI: 10.6084/m9.figshare.13153451.v1
title: Table.pdf

description: 3 AFT ages from a vertical profil located along the Muli thrust, a major tectonic structure of the south-eastern margin of the Tibetan plateau
DOI: 10.6084/m9.figshare.13151264.v1
title: R0312_20191125a_videos

description: Rat 0312, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13151264
title: R0312_20191125a_videos

description: Rat 0312, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.5517/ccdc.csd.cc252qxx
title: CCDC 1998629: Experimental Crystal Structure Determination

description: Related Article: Anitha Boddeda, Mohammad Mosharraf Hossain, M. Saeed Mirzaei, Sergey V. Lindeman, Saber Mirzaei, Rajendra Rathore|2020|Org.Chem.Front.|7|3215|doi:10.1039/D0QO00924E
DOI: 10.5517/ccdc.csd.cc252qyy
title: CCDC 1998630: Experimental Crystal Structure Determination

description: Related Article: Anitha Boddeda, Mohammad Mosharraf Hossain, M. Saeed Mirzaei, Sergey V. Lindeman, Saber Mirzaei, Rajendra Rathore|2020|Org.Chem.Front.|7|3215|doi:10.1039/D0QO00924E
DOI: 10.5517/ccdc.csd.cc252qzz
title: CCDC 1998631: Experimental Crystal Structure Determination

description: Related Article: Anitha Boddeda, Mohammad Mosharraf Hossain, M. Saeed Mirzaei, Sergey V. Lindeman, Saber Mirzaei, Rajendra Rathore|2020|Org.Chem.Front.|7|3215|doi:10.1039/D0QO00924E
DOI: 10.5517/ccdc.csd.cc252r01
title: CCDC 1998632: Experimental Crystal Structure Determination

description: Related Article: Anitha Boddeda, Mohammad Mosharraf Hossain, M. Saeed Mirzaei, Sergey V. Lindeman, Saber Mirzaei, Rajendra Rathore|2020|Org.Chem.Front.|7|3215|doi:10.1039/D0QO00924E
DOI: 10.5517/ccdc.csd.cc252r12
title: CCDC 1998633: Experimental Crystal Structure Determination

description: Related Article: Anitha Boddeda, Mohammad Mosharraf Hossain, M. Saeed Mirzaei, Sergey V. Lindeman, Saber Mirzaei, Rajendra Rathore|2020|Org.Chem.Front.|7|3215|doi:10.1039/D0QO00924E
DOI: 10.5517/ccdc.csd.cc2540cq
title: CCDC 1999852: Experimental Crystal Structure Determination

description: Related Article: Ru Zhao, Bing-Lin Zeng, Wen-Qiang Jia, Hong-Yi Zhao, Long-Ying Shen, Xiao-Jian Wang, Xian-Dao Pan|2020|RSC Advances|10|34938|doi:10.1039/D0RA07170F
DOI: 10.5517/ccdc.csd.cc21v7hn
title: CCDC 1902051: Experimental Crystal Structure Determination

description: Related Article: Christine M. DuChane, Joseph S. Merola|2020|J.Organomet.Chem.|929|121552|doi:10.1016/j.jorganchem.2020.121552
DOI: 10.5517/ccdc.csd.cc25083l
title: CCDC 1996248: Experimental Crystal Structure Determination

description: Related Article: Christine M. DuChane, Joseph S. Merola|2020|J.Organomet.Chem.|929|121552|doi:10.1016/j.jorganchem.2020.121552
DOI: 10.5517/ccdc.csd.cc21v7gm
title: CCDC 1902050: Experimental Crystal Structure Determination

description: Related Article: Christine M. DuChane, Joseph S. Merola|2020|J.Organomet.Chem.|929|121552|doi:10.1016/j.jorganchem.2020.121552
DOI: 10.5517/ccdc.csd.cc25084m
title: CCDC 1996249: Experimental Crystal Structure Determination

description: Related Article: Christine M. DuChane, Joseph S. Merola|2020|J.Organomet.Chem.|929|121552|doi:10.1016/j.jorganchem.2020.121552
DOI: 10.5517/ccdc.csd.cc25080h
title: CCDC 1996245: Experimental Crystal Structure Determination

description: Related Article: Christine M. DuChane, Joseph S. Merola|2020|J.Organomet.Chem.|929|121552|doi:10.1016/j.jorganchem.2020.121552
DOI: 10.6084/m9.figshare.13151261.v1
title: R0169_20170511a_videos

description: Rat 0169, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13151261
title: R0169_20170511a_videos

description: Rat 0169, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.21227/e26y-5j23
title: Model5

description: RandomForest to predict next months.
DOI: 10.21227/0nrj-6a16
title: Model_1_4_2

description: Autoencoder LSTM
DOI: 10.6084/m9.figshare.13153517
title: Supplementary Material for: Surveillance for Hepatocellular Carcinoma Also Improves Survival of Incidentally Detected Intrahepatic Cholangiocarcinoma Arisen in Liver Cirrhosis

description: <b><i>Background:</i></b> Due to its poor survival, intrahepatic cholangiocarcinoma (ICC) is held to be a much more aggressive cancer than hepatocellular carcinoma (HCC). In most published series, patients were diagnosed when symptomatic. However, ICC is now increasingly being discovered during the surveillance for HCC in cirrhosis. Whether this earlier detection of ICC is associated with an equally dismal prognosis or not is unknown. <b><i>Methods:</i></b> This is amulticenter retrospective study of consecutive ICC patients. Patients were stratified into subgroups according to the absence/presence of cirrhosis. A propensity score matching was performed to reduce the potential biases. Cirrhotic patients were further stratified according to their surveillance status. The lead-time bias and its potential effects were also estimated. <b><i>Results:</i></b> We gathered 184 patients. Eighty-five patients (46.2%) were cirrhotic. Liver cirrhosis was not related to a worse overall survival (33.0 vs. 32.0 months, <i>p</i> = 0.800) even after the propensity score analysis (43.0 in vs. 44.0 months in 54 pairs of patients, <i>p</i> = 0.878). Among the cirrhotic population, 47 (55.3%) patients had received a diagnosis of ICC during a surveillance programme. The 2 subgroups differed in maximum tumour dimensions (30 vs. 48 mm in surveyed and non-surveyed patients, respectively). Surveyed patients were more likely to receive surgical treatments (59.8 vs. 28.9%, <i>p</i> = 0.003). Overall survival was higher in surveyed patients (51.0 vs. 21.0 months, <i>p</i> &lt; 0.001). These benefits were confirmed after correcting for the lead-time bias. <b><i>Conclusions:</i></b> Cirrhotic patients have different clinical presentation and outcomes of ICC according to their surveillance status. In our series, ICC in cirrhosis was not associated with worse OS. Cirrhosis itself should not discourage either surgical or non-surgical treatments.
DOI: 10.5281/zenodo.4147023
title: Dataset of manuscript "Automatic fault mapping in remote optical images and topographic data with deep learning", submitted to Journal of Geophysical Research - Solid Earth on October 28, 2020

description: The dataset includes:<br> - the image and topographic data used in the study<br> - the ground truth used in the study<br> - the parameters of the model MRef developed in the study<br> - the Supplementary documents and figures discussed in the paper
description: Contact : Laboratoire Géoazur 250 rue Albert Einstein - 06560 Valbonne +33 4 83 61 86 35 Emails : matteo@geoazur.unice.fr, lionelmatteo93@gmail.com manighetti@geoazur.unice.fr
DOI: 10.18112/openneuro.ds002837.v1.1.2
title: Naturalistic Neuroimaging Database
DOI: 10.5281/zenodo.3979087
title: Single cell RNA-seq Data - Dissecting the functional reprogramming of the microenvironment in bone marrow fibrosis at the single cell level

description: We provide results regarding the bioinformatic analysis of scRNA-seq from distinct bone marrow fibrosis mouse models and human samples. These include: Robjects&Markdown - R markdown and R objects with QC statistics, UMAP and final scRNA-seq data sets. Markers - Excel tables with cluster specific marker genes. DE Genes - Excel table with DE genes when comparing cells in control vs. disease condition per cluster. GO Analysis - Gene enrichment analysis of either DE genes. These are divided by either UP or down regulated genes.
DOI: 10.5281/zenodo.3979086
title: Single cell RNA-seq Data - Dissecting the functional reprogramming of the microenvironment in bone marrow fibrosis at the single cell level

description: We provide results regarding the bioinformatic analysis of scRNA-seq from distinct bone marrow fibrosis mouse models and human samples. These include: Robjects&Markdown - R markdown and R objects with QC statistics, UMAP and final scRNA-seq data sets. Markers - Excel tables with cluster specific marker genes. DE Genes - Excel table with DE genes when comparing cells in control vs. disease condition per cluster. GO Analysis - Gene enrichment analysis of either DE genes. These are divided by either UP or down regulated genes.
DOI: 10.5281/zenodo.4146905
title: Replication Package for the Paper: "Code Smells Detection via Code Review: An Empirical Study"

description: This repository contains the data and results from the paper "Code Smells Detection via Code Review: An Empirical Study" submitted to ESEM 2020. <strong>1. data folder</strong> The data folder contains the retrieved 269 reviews that discuss code smells. Each review includes four parts: Code Change URL, Code Smell Term, Code Smell Discussion, and Source Code URL. <strong>2. scripts floder</strong> The scripts folder contains the Python script that was used to search for code smell terms and the list of code smell terms. <em>smell-term/general_smell_terms.txt</em> contains general code smell terms, such as "code smell". <em>smell-term/specific_smell_terms.txt</em> contains specific code smell terms, such as "dead code". <em>smell-term/misspelling_terms_of_smell.txt</em> contains the misspelling terms of 'smell', such as "ssell". <em>get_changes.py</em> is used for getting code changes from OpenStack. <em>get_comments.py</em> is used for getting review comments for each code change. <em>smell_search.py</em> is used for searching review comments that contain code smell terms. <strong>3. project folder</strong> The project folder contains the MAXQDA project files. The files can be opened by MAXQDA 12 or higher versions, which are available at https://www.maxqda.com/ for download. You may also use the free 14-day trial version of MAXQDA 2018, which is available at https://www.maxqda.com/trial for download. <em>Data Labeling & Encoding for RQ2.mx12</em> is the results of data labeling and encoding for RQ2, which were analyzed by the MAXQDA tool. <em>Data Labeling & Encoding for RQ3.mx12</em> is the results of data labeling and encoding for RQ3, which were analyzed by the MAXQDA tool.
DOI: 10.5281/zenodo.3854461
title: Replication Package for the Paper: "Code Smells Detection via Code Review: An Empirical Study"

description: This repository contains the data and results from the paper "Code Smells Detection via Code Review: An Empirical Study" submitted to ESEM 2020. <strong>1. data folder</strong> The data folder contains the retrieved 269 reviews that discuss code smells. Each review includes four parts: Code Change URL, Code Smell Term, Code Smell Discussion, and Source Code URL. <strong>2. scripts floder</strong> The scripts folder contains the Python script that was used to search for code smell terms and the list of code smell terms. <em>smell-term/general_smell_terms.txt</em> contains general code smell terms, such as "code smell". <em>smell-term/specific_smell_terms.txt</em> contains specific code smell terms, such as "dead code". <em>smell-term/misspelling_terms_of_smell.txt</em> contains the misspelling terms of 'smell', such as "ssell". <em>get_changes.py</em> is used for getting code changes from OpenStack. <em>get_comments.py</em> is used for getting review comments for each code change. <em>smell_search.py</em> is used for searching review comments that contain code smell terms. <strong>3. project folder</strong> The project folder contains the MAXQDA project files. The files can be opened by MAXQDA 12 or higher versions, which are available at https://www.maxqda.com/ for download. You may also use the free 14-day trial version of MAXQDA 2018, which is available at https://www.maxqda.com/trial for download. <em>Data Labeling & Encoding for RQ2.mx12</em> is the results of data labeling and encoding for RQ2, which were analyzed by the MAXQDA tool. <em>Data Labeling & Encoding for RQ3.mx12</em> is the results of data labeling and encoding for RQ3, which were analyzed by the MAXQDA tool.
DOI: 10.13025/s2g4-bv67
title: Checklist of Irish Tardigrada Species (2016–2020, Version 2.0: 10/2020)
DOI: 10.5281/zenodo.4146957
title: PubChemLite Evaluation - Additional Files

description: This is a set of additional files for the PubChemLite evaluation (Schymanski <em>et al</em> <em>in prep</em>).
DOI: 10.5281/zenodo.4146956
title: PubChemLite Evaluation - Additional Files

description: This is a set of additional files for the PubChemLite evaluation (Schymanski <em>et al</em> <em>in prep</em>).
DOI: 10.5281/zenodo.4147076
title: stats_euroleague_players

description: Web scraping Euroleage players data of season 2020-2021. euroleaguePlayers_average.csv: provides mean stats for each player that plays 2020-2021 season euroleaguePlayers_season.csv: Provides statistics for each season for each player playing the 2020-21 season. This stats are of this season and previous ones. Datasets contain information on basic basketball stats and personal data of each player like born date, height or team he palyed for
DOI: 10.5281/zenodo.4147075
title: stats_euroleague_players

description: Web scraping Euroleage players data of season 2020-2021. euroleaguePlayers_average.csv: provides mean stats for each player that plays 2020-2021 season euroleaguePlayers_season.csv: Provides statistics for each season for each player playing the 2020-21 season. This stats are of this season and previous ones. Datasets contain information on basic basketball stats and personal data of each player like born date, height or team he palyed for
DOI: 10.6084/m9.figshare.13151003
title: Raw imported signal

description: Imported RAW signal file
DOI: 10.6084/m9.figshare.13151003.v1
title: Raw imported signal

description: Imported RAW signal file
DOI: 10.5523/bris.l7qg341nfpe92uy4qp9pxjqwj
title: Data from Physics of Life (10-2020)

description: As part of the Physics of Life project we investigate the structural and acoustomechanical adaptations insects have evolved to achieve acoustic camouflage against detection by biosonar.