cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a2cf9j675
title: Snow water equivalent data from the Upper Kuparuk River watershed, Arctic Alaska, 1997-2017

description: Many remote areas of Alaska lack meteorological data; this is especially true for solid precipitation. Researchers at the University of Alaska Fairbanks, Water and Environmental Research Center have been collecting end-of-winter snow depth, snow density, and snow water equivalent (SWE) during annual snow surveys. Snow surveys in the Upper Kuparuk watershed (130 square kilometers) provide ground-based spatially distributed snow water equivalent (SWE) measurements from 1997 to 2017. These observations do not document the total snowfall during the winter, but provide quantitative estimate of cold season precipitation on the ground at winter’s end after sublimation and redistribution by wind.
DOI: 10.25386/genetics.11872362.v4
title: Supplemental Material for Subrahmanian et al., 2020

description: This file contains all supplemental figures, tables, and methods referred to in the manuscript titled "Assembly of mitochondrial complex I requires the low-complexity protein AMC1 in <i>Chlamydomonas reinhardtii". </i><br>
DOI: 10.5281/zenodo.3698293
title: "4XX Client Error: Eventual Connectivity Issues in Android Apps" Complementary Material

description: PDFs containing the details of the scenarios defined and executed for the research on Eventual Connectivity Issues in Android Apps, this research results are presented in the "4XX Client Error: Eventual Connectivity Issues in Android Apps" paper that is under revision.
DOI: 10.5281/zenodo.3698294
title: "4XX Client Error: Eventual Connectivity Issues in Android Apps" Complementary Material

description: PDFs containing the details of the scenarios defined and executed for the research on Eventual Connectivity Issues in Android Apps, this research results are presented in the "4XX Client Error: Eventual Connectivity Issues in Android Apps" paper that is under revision.
DOI: 10.5281/zenodo.3698285
title: Learning volition: a longitudinal study of developing intentional awareness in Tourette syndrome

description: Code for Libet experiment used in this study. Pseudomized dataset.
DOI: 10.5281/zenodo.3698286
title: Learning volition: a longitudinal study of developing intentional awareness in Tourette syndrome

description: Code for Libet experiment used in this study. Pseudomized dataset.
DOI: 10.7910/dvn/rkqsle
title: Python script to classify anthromes from HYDE 3.2

description: Python script to classify anthromes using HYDE 3.2 data.
DOI: 10.7910/dvn/rkqsle/ltc0hb
title: anthromes.py

description: Python script to classify anthromes from HYDE 3.2 data.
DOI: 10.5281/zenodo.3698312
title: RyanEckert/Belize_Mcav_Symbiodiniaceae_ITS2: Depth influences Symbiodiniaceae associations among Montastraea cavernosa corals on the Belize Barrier Reef

description: This is the published dataset including analysis code for: Eckert RJ, Reaume A, Sturm AB, Studivan MS, and Voss JD (2020) Depth influences Symbiodiniaceae associations among <em>Montastraea cavernosa</em> corals on the Belize Barrier Reef. Frontiers in Microbiology Here, we describe the Symbiodiniaceae taxa found within previously-sampled and genotyped <em>Montastraea cavernosa</em> populations along a depth gradient on the Belize Barrier Reef by implementing high-throughput sequencing of the ITS2 region of Symbiodiniaceae ribosomal DNA and the <em>SymPortal</em> analysis framework.
DOI: 10.5281/zenodo.3698298
title: Dataset for the manuscript "Barium stable isotopes as a fingerprint of biological cycling in the Amazon River Basin" submitted to Biogeosciences Discussions

description: This file contains the dataset of the manuscript submitted to Biogeosciences Discussions entitled "Barium stable isotopes as a fingerprint of biological cycling in the Amazon River Basin" by Charbonnier et al. It consists in three spreadsheets: (1) dissolved species concentration and dissolved Ba isotope data on river dissolved load; (2) main characteristics and Ba isotope data of river sediments; (3) compilation of major element and Ba and Li concentration in rocks (compilation made from the GEOROC database) and in the dissolved load of river draining single rock types (compilation made from previously published data and new data).
DOI: 10.25345/c5x39b
title: MassIVE MSV000085060 - GNPS_enniatin_A1-A7-A10-B2_DDA-unify-mgf
title: Test data: This data were collected from waters Xevo G2 XS-Qtof using UPLC during 15 min, 0.4 ml/min, 0-7 min 50% -95% acetonitrile, 7-10 min 95% acetonitrile. Using the same saple: crude extract containing enniatin. M1,M2,M3 were sampled 1, 2, and 3 MS/MS at the same time, M1 0.1 ul, M6: 1ul; M1-1 using different collision energy
DOI: 10.25919/5e617ceb09f96
title: Parkes observations for project PX501 semester 2019OCTS_09

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX500) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first (PX500) will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time (relating to this proposal) will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.18739/a27p8td4h
title: Beaufort Gyre Exploration Project - Mooring A 2016-2017

description: Mooring A (2016-2017) acquired precise data on the variations of the vertical distribution of seatwater properties, bottom pressures and sea ice draft at site 75N and 150W in the Beaufort Sea to document the unprecedented changes in sea ice and ocean parameters that are presently occurring in the Beaufort Gyre (BG) region.
DOI: 10.6078/m7kd1w1c
title: Jama Valley Archaeofaunas, Manabí Province, Ecuador
DOI: 10.6085/aa/ssm001_022mtbd014r00_20101202.40.1
title: (:unkn)
DOI: 10.6085/aa/ssm001_022mtbd014r00_20110116.40.1
title: (:unkn)
DOI: 10.6085/aa/ssm001_022mtbd014r00_20110304.40.1
title: (:unkn)
DOI: 10.6085/aa/ssm001_022mtbd014r00_20110628.40.1
title: (:unkn)
DOI: 10.6085/aa/ssm001_022mtbd021r00_20101202.40.1
title: (:unkn)
DOI: 10.6073/pasta/d5f7c45539c24870c37a4e05689ba9f2
title: Water Temperature, Salinity and other physical measurements taken at Shark River, Everglades National Park (FCE LTER) from February 2010 to March 2014

description: In early 2010 we established three new permanent water quality monitoring stations in the Shark River Estuary. These stations expanded FCE's spatial coverage in terms of salinity and also established the first continuous dissolved oxygen monitoring in the estuary.
DOI: 10.25919/5e61c19d7cd2c
title: Parkes observations for project P958 semester 2019OCTS_64

description: Fast radio bursts (FRBs) continue to raise more questions than they answer. Until last year, only one burst – the only one known to repeat - had been localized to a bright radio nebula (either a young supernova remnant or pulsar wind nebulae) in a distant dwarf galaxy. Over the last two year searches with the Australian Square Kilometre Array Pathfinder (ASKAP) have detected 31 bursts, five of which have been localised to host galaxies at redshifts ranging from 0.1 to 0.5. These bursts and their hosts are very unlike the repeater, suggesting there may be a dichotomy in the population. However one of the arcminute-localised ASKAP FRBs has recently been found to repeat. Here we propose to search and study repetitions in this FRB population. Our comprehensive sample and a dense monitoring campaign of well localised bursts, at a fluence limit more than 60 times lower than that of their detections to characterise the fraction of bursts that repeat. For bursts that repeat the unique wide bandwidth observations will be used to test leading models of burst emission.
DOI: 10.15784/601258
title: NBP1402 diatom data

description: Totten Glacier is the termination of the largest marine-based portion of the East Antarctic Ice Sheet, the Aurora Subglacial Basin. Yet little is known about the glacial evolution of the catchment and the factors influencing its present and past behavior. Due its remote location and heavy sea ice, the continental shelf in front of the Totten Glacier had not been comprehensively surveyed prior to this study. Satellite observations indicate that the Totten ice drainage system is thinning, and it has been hypothesized that this thinning is in response to undermelting by warm ocean waters over the continental shelf. While this process is observed elsewhere in Antarctica (e.g. the rapidly retreating Pine Island Glacier in West Antarctica), the Totten Glacier system is potentially Antarcticas most important glacial drainage system due to its large size; it is three times larger than any system in West Antarctica. The main goals of this proposal were: To generate multibeam bathymetric maps of the continental shelf proximal to the Totten Glacier system to understand the recent regional glacial history and to document the pathways, if any, for circumpolar deep water to move onto the shelf. To conduct a physical oceanographic survey of the region proximal to the Totten Glacier system, to determine the presence, if any, of warm ocean waters over the continental shelf.To conduct a seismic survey of the continental shelf to assess the long-term evolution of the glacial system in the Aurora Subglacial Basin.To collect marine sediment cores to determine the regional deglacial to Holocene climate history and the influence of warm circumpolar deep water.
DOI: 10.15784/601259
title: Detrital low-temperature thermochronometry from Bourgeois Fjord, AP

description: This dataset contains 80 detrital and 2 bedrock apatite (U-Th)/He thermochronometric ages from Bourgeois Fjord. Data was collected to constrain timing and patterns of topographic change at Bourgeois Fjord on Ma timescales. Analyses were conducted at the Berkeley Geochronology Center and presented in Microsoft Excel formats.
DOI: 10.5063/f1m043rn
title: A fine-tuned global distribution dataset of marine forests

description: Species distribution records are a prerequisite to follow climate-induced range shifts across space and time. However, synthesizing information from various sources such as peer-reviewed literature, herbaria, digital repositories and citizen science initiatives is not only costly and time consuming, but also challenging, as data may contain thematic and taxonomic errors and generally lack standardized formats. We address this gap for important marine ecosystem-structuring species of large brown algae and seagrasses. We gathered distribution records from various sources and provide a fine-tuned dataset with ~2.8 million dereplicated records, taxonomically standardized for 682 species, and considering important physiological and biogeographical traits. Specifically, a flagging system was implemented to sign potentially incorrect records reported on land, in regions with limiting light conditions for photosynthesis, and outside the known distribution of species, as inferred from the most recent published literature. The dataset is provided in tabular format based on Darwin Core Standard (DwC).Please cite: Assis J., Fragkopoulou E., Frade D., Neiva J., Oliveira A., Abecasis D., Faugeron S., Serrão E.A. (2020). A fine-tuned global distribution dataset of marine forests. Scientific Data
DOI: 10.7910/dvn/cxsecu/5dmrsw
title: exclude

description: :unav
DOI: 10.7910/dvn/cxsecu/hixozm
title: make_missing_data_graphs.R

description: :unav
DOI: 10.7910/dvn/cxsecu/nmdx2j
title: post-update.sample

description: :unav
DOI: 10.7910/dvn/cxsecu/subvuc
title: tree_plot.R

description: :unav
DOI: 10.7910/dvn/cxsecu/tbgj6n
title: ffc_model_functions_coded.tab

description: :unav
DOI: 10.7910/dvn/cxsecu/ycsigz
title: 6_plot_gpa_leaderboard_filled.pdf

description: :unav
DOI: 10.6073/pasta/f2dea22c72b4ba72fed419f15cbabb60
title: Water flow velocity data, Shark River Slough (SRS) near Black Hammock island, Everglades National Park (FCE LTER), South Florida from October 2003 to August 2005

description: Water velocity data measured every 5 or 15 minutes in Shark River Slough beside Black Hammock tree island, Everglades National Park using Sontek Agronaut water flow sampler.
DOI: 10.7910/dvn/cxsecu/8ahr6p
title: pre-push.sample

description: :unav
DOI: 10.7910/dvn/cxsecu/9e2yfw
title: 3_results_many_facets_full_benchmark.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/d96mr1
title: 6_plot_layoff_leaderboard_filled.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/dgro5i
title: pack-f870e04b5a9eb1b15c5bf100e4d53899f4d6273b.idx

description: :unav
DOI: 10.7910/dvn/cxsecu/kibten
title: s20_reports_featureselection.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/lhejdd
title: 6_plot_materialHardship_test.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/r7rgdw
title: pre-commit.sample

description: :unav
DOI: 10.7910/dvn/cxsecu/uoiild
title: s13_distribution_unitmse_truth_alloutcomes.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/wiwlu4
title: s6b_benchmarks_B.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/bqt408
title: run.sh

description: :unav
DOI: 10.7910/dvn/cxsecu/cocra9
title: s12_comparing_predictions_truth_alloutcomes_histograms_only_cases_wtruth.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/gnlsjm
title: s10_unsure_of_winner.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/ri743l
title: s2_training_distribution.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/shiz75
title: s21_reports_learningalg.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/sjrigj
title: difficulty_across_outcomes.R

description: :unav
DOI: 10.7910/dvn/cxsecu/xy8v2m
title: index

description: :unav
DOI: 10.7910/dvn/cxsecu/yelnyc
title: ffc_code.tab

description: :unav
DOI: 10.7910/dvn/cxsecu/0ewtcv
title: code_analysis.py

description: :unav
DOI: 10.7910/dvn/cxsecu/50iscu
title: applypatch-msg.sample

description: :unav
DOI: 10.7910/dvn/cxsecu/5fhg9l
title: num_nonmissing_cases.R

description: :unav
DOI: 10.7910/dvn/cxsecu/el3ovj
title: HEAD

description: :unav
DOI: 10.7910/dvn/cxsecu/oz0wvl
title: s15a_scoresBeatingBaseline_not01_materialHardship.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/qhyqhn
title: participant_analysis.R

description: :unav
DOI: 10.7910/dvn/cxsecu/tqg5g3
title: s14_difficulty_scatterplot_matrix.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/ye3s9g
title: pre-applypatch.sample

description: :unav
DOI: 10.7910/dvn/cxsecu/7dmnbq
title: .gitignore

description: :unav
DOI: 10.7910/dvn/cxsecu/anjb07
title: s3b_participant_professions.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/avidcc
title: manifest.txt

description: :unav
DOI: 10.7910/dvn/cxsecu/clrzym
title: pre-receive.sample

description: :unav
DOI: 10.7910/dvn/cxsecu/gzqmgp
title: table_s7.txt

description: :unav
DOI: 10.7910/dvn/cxsecu/obyh2r
title: make_missing_data_graphs.R

description: :unav
DOI: 10.7910/dvn/cxsecu/rb1uel
title: s17_dataprep_r2.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/xpu2it
title: s18_modeltype_r2.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/86vtok
title: pack-f870e04b5a9eb1b15c5bf100e4d53899f4d6273b.pack

description: :unav
DOI: 10.7910/dvn/cxsecu/a6gutx
title: s15e_scoresBeatingBaseline_not01_jobTraining.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/chwrd5
title: 6_plot_jobTraining_leaderboard_unfilled.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/cnbgii
title: .gitignore

description: :unav
DOI: 10.7910/dvn/cxsecu/gdrsjd
title: 6_plot_jobTraining_train.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/olm1ts
title: 6_plot_materialHardship_leaderboard_filled.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/pxrgmk
title: s3a_participant_disciplines.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/qrtg2y
title: Dockerfile

description: :unav
DOI: 10.7910/dvn/cxsecu/vyy6cs
title: s7_benchmarks_alternative.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/a2sdlq
title: 6_plot_grit_leaderboard_unfilled.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/dduc82
title: leaderboard_nodupes.zip

description: :unav
DOI: 10.7910/dvn/cxsecu/dl5esf
title: prep_data.sh

description: :unav
DOI: 10.7910/dvn/cxsecu/elyw1d
title: r_squared_all.tab

description: :unav
DOI: 10.7910/dvn/cxsecu/g3whws
title: 6_plot_grit_leaderboard_filled.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/hosxt6
title: s15b_scoresBeatingBaseline_not01_gpa.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/n0rsij
title: 3a_missing_data_background_heatmap.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/ouppeo
title: s15d_scoresBeatingBaseline_not01_eviction.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/qt2pnn
title: install_requirements.R

description: :unav
DOI: 10.7910/dvn/cxsecu/ytcgvm
title: .gitignore

description: :unav
DOI: 10.7910/dvn/cxsecu/1u8rlo
title: privacy_redaction_count.R

description: :unav
DOI: 10.7910/dvn/cxsecu/7axkdw
title: ffc_symbols_coded.tab

description: :unav
DOI: 10.7910/dvn/cxsecu/hswt00
title: methods_responses_clean.tab

description: :unav
DOI: 10.7910/dvn/cxsecu/ncpys4
title: 6_plot_eviction_test.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/nump37
title: update.sample

description: :unav
DOI: 10.7910/dvn/cxsecu/qcvjwh
title: s4_participant_intentions.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/sifhrz
title: readme.md

description: :unav
DOI: 10.7910/dvn/cxsecu/whvoqy
title: r2_allSubmission_plots.R

description: :unav
DOI: 10.7910/dvn/cxsecu/7d0epz
title: 6_plot_materialHardship_leaderboard_unfilled.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/a4ymo4
title: 6_plot_gpa_train.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/addshz
title: 6_plot_grit_test.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/ens6fh
title: prepare-commit-msg.sample

description: :unav
DOI: 10.7910/dvn/cxsecu/gdvtfq
title: 7_r2_train_holdout.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/jaba4s
title: privacy_redaction_count.txt

description: :unav
DOI: 10.7910/dvn/cxsecu/ssxcs8
title: 4_heatmaps_sqerr_6outcomes.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/vtzkie
title: methods_used.R

description: :unav
DOI: 10.7910/dvn/cxsecu/2wsckp
title: run.sh

description: :unav
DOI: 10.7910/dvn/cxsecu/4c5oqo
title: privacy_redaction_count.R

description: :unav
DOI: 10.7910/dvn/cxsecu/jsb3as
title: author_methods.tab

description: :unav
DOI: 10.7910/dvn/cxsecu/k2rzlt
title: num_nonmissing_cases.tab

description: :unav
DOI: 10.7910/dvn/cxsecu/lazjwn
title: s11_alternative_best_estimators.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/qi13zr
title: 3b_missing_data_background_bar.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/rfskha
title: description

description: :unav
DOI: 10.7910/dvn/cxsecu/tjgibo
title: 6_plot_jobTraining_test.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/waqaer
title: commit-msg.sample

description: :unav
DOI: 10.7910/dvn/cxsecu/ygilzh
title: code_analysis.R

description: :unav
DOI: 10.7910/dvn/cxsecu/0szl7n
title: 6_plot_layoff_leaderboard_unfilled.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/c8fjcn
title: config

description: :unav
DOI: 10.7910/dvn/cxsecu/cfep2i
title: prep_predictions.R

description: :unav
DOI: 10.7910/dvn/cxsecu/liezi9
title: s15c_scoresBeatingBaseline_not01_grit.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/mesn6d
title: 6_plot_grit_train.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/muxjsn
title: .gitignore

description: :unav
DOI: 10.7910/dvn/cxsecu/qw2rcf
title: .gitignore

description: :unav
DOI: 10.7910/dvn/cxsecu/tqedrl
title: s1b_missing_data_background_bar.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/yat2jy
title: 6_plot_eviction_leaderboard_filled.pdf

description: :unav
DOI: 10.17632/dk5r23p6n6.1
title: Data for: One-Segment Linear Modeling of Electricity-Gas System Optimization

description: The single line diagrams of the three cases and all the test data employed in the present work.
DOI: 10.7910/dvn/cxsecu/1mbal2
title: packed-refs

description: :unav
DOI: 10.7910/dvn/cxsecu/jr0vcw
title: 4_heatmaps_sqerr_6outcomes.png

description: :unav
DOI: 10.7910/dvn/cxsecu/oljesg
title: num_nonmissing_cases.R

description: :unav
DOI: 10.7910/dvn/cxsecu/pvlezk
title: 6_plot_gpa_leaderboard_unfilled.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/qu7ub2
title: application_data.tab

description: :unav
DOI: 10.7910/dvn/cxsecu/rarnne
title: restrictions.tab

description: :unav
DOI: 10.7910/dvn/cxsecu/tr7nbh
title: s6c_benchmarks_C.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/xzomzc
title: 6_plot_layoff_test.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/4pvtcx
title: 6_plot_eviction_train.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/7hjf6t
title: s6a_benchmarks_A.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/cnqqro
title: subset_submissions.R

description: :unav
DOI: 10.7910/dvn/cxsecu/e81rvc
title: HEAD

description: :unav
DOI: 10.7910/dvn/cxsecu/n4tpg6
title: requirements.txt

description: :unav
DOI: 10.7910/dvn/cxsecu/on1gfq
title: 6_plot_eviction_leaderboard_unfilled.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/s2xoxg
title: submissions.csv.zip

description: :unav
DOI: 10.7910/dvn/cxsecu/xhsbxz
title: README.md

description: :unav
DOI: 10.7910/dvn/cxsecu/xknz0q
title: s19_reports_dataprep.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/dewsw2
title: HEAD

description: :unav
DOI: 10.7910/dvn/cxsecu/f4zbxe
title: s9_worse_than_benchmark.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/gwnczu
title: s8_benchmark_vs_best_scatter.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/loze0y
title: outcome_labels.R

description: :unav
DOI: 10.7910/dvn/cxsecu/pax1wz
title: aggregate_score_analyses.R

description: :unav
DOI: 10.7910/dvn/cxsecu/qnynu8
title: heatmaps.R

description: :unav
DOI: 10.7910/dvn/cxsecu/8uwuas
title: s16_modelcounts.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/bmkvag
title: hard_to_predict_cases.R

description: :unav
DOI: 10.7910/dvn/cxsecu/juymjn
title: .here

description: :unav
DOI: 10.7910/dvn/cxsecu/lc64ch
title: s15f_scoresBeatingBaseline_not01_layoff.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/loalxo
title: 6_plot_gpa_test.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/plxbkv
title: 6_plot_materialHardship_train.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/qfapxz
title: master

description: :unav
DOI: 10.7910/dvn/cxsecu/r4trqp
title: compare_predictions_truth.R

description: :unav
DOI: 10.7910/dvn/cxsecu/rjjfpv
title: s1a_missing_data_background_heatmap.pdf

description: :unav
DOI: 10.6085/aa/sun001_026mhp2000r00_20101112.40.1
title: (:unkn)
DOI: 10.6085/aa/sun001_026mhp2005r00_20101112.40.1
title: (:unkn)
DOI: 10.6085/aa/sun001_026mhp2005r00_20101129.40.1
title: (:unkn)
DOI: 10.7910/dvn/cxsecu/arqk3x
title: pre-rebase.sample

description: :unav
DOI: 10.7910/dvn/cxsecu/qryxib
title: 6_plot_jobTraining_leaderboard_filled.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/relab1
title: s22_reports_modelinterp.pdf

description: :unav
DOI: 10.7910/dvn/cxsecu/sjsbcq
title: 6_plot_layoff_train.pdf

description: :unav
DOI: 10.5281/zenodo.3697176
title: Auto-tuning Configurable Static Analysis Tools

description: <strong>Please refer to version 1.1.0 to see full result with all seeds of symbiotic with no filter.</strong> This contains both the executables and the data for our ESEC/FSE 2020 submission, "Auto-tuning Configurable Static Analysis Tools." The results are in results.tar.xz, and the auto-tune source code and experimental environment is is experiments.tar.xz.
DOI: 10.6085/aa/sun001_026mhp2015r00_20101112.40.1
title: (:unkn)
DOI: 10.6085/aa/sun001_026mhp2015r00_20101129.40.1
title: (:unkn)
DOI: 10.6085/aa/sun001_026mhp2025r00_20101112.40.1
title: (:unkn)
DOI: 10.6085/aa/sun001_026mhp2025r00_20101129.40.1
title: (:unkn)
DOI: 10.17632/2956vk52jz.1
title: Data for: Large-Eddy Simulation of Sand Transport Under Unsteady Wind
DOI: 10.17632/p88pfszfw2.1
title: Data for: Large-Eddy Simulation of Sand Transport Under Unsteady Wind

description: The data of our sumulation in steady case(when wind speed is 8 m/s). ‘velocity’is the particle velocity by calculating at t=20s.