cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5063/f12805zf
title: Recent pace of change in human impact on the world's ocean: Organic chemical pollution

description: These are the stressor and impact data for organic chemical pollution for the publication: 'Recent pace of change in human impact on the world's ocean' (Halpern et al. 2019). The organic chemical pollution stressor describes relative intensity of organic pollution due to pesticide runoff from land-based applications. These data represent modeled organic chemical plumes resulting from land-based pesticide application. We describe the stressor intensity of organic chemical pollution and the corresponding impact on 21 marine ecosystems over 11 years (2003-2013). To determine annual change in impact, we applied a linear regression model to each raster cell. Code used in analyzing these data is available as a zipped GitHub repository, impact_acceleration-1.0.zip, in this dataset's parent (CITATION HERE). These data include the following: Raw stressor intensity rasters for 2003 to 2013. These rasters are created using scripts located in the 'stressors' folder of the 'impact_acceleration' Github repository. Rescaled stressor intensity rasters for 2003 to 2013. Raw stressor intensities are rescaled to values between 0 and 1, using either known or estimated ecosystem thresholds or upper quantile values from the distribution of global stressor intensity values across years. These rasters are created using scripts located in the 'stressors' folder of the 'impact_acceleration' Github repository. Impact rasters for 2003 to 2013 which describe the impact of the stressor based on the vulnerability of 21 marine ecosystems to the stressor. The impact of the stressor is estimated by multiplying the stressor's intensity by the corresponding ecosystem vulnerability where the ecosystem occurs. The average impact of each stressor, across all ecosystems, is estimated by summing the stressor-by-ecosystem vulnerability combinations and dividing by the number of ecosystems within each cell. These rasters are created using scripts located in the 'impacts' folder of the 'impact_acceleration' Github repository. A trend raster describing the average annual change in impact from 2003 to 2013. This raster is created using scripts located in the 'trend' folder of the 'impact_acceleration' Github repository. Files describing the cumulative impacts and additional stressors are provided in other KNB datasets.
DOI: 10.5063/f1xg9pgm
title: Recent pace of change in human impact on the world's ocean: Direct human disturbance

description: These are the stressor and impact data for direct human disturbance for the publication: 'Recent pace of change in human impact on the world's ocean' (Halpern et al. 2019). This stressor estimates the magnitude of direct human interactions on coastal and near-coastal habitats, such as trampling. The direct human stressor is estimated using human density data. We describe the stressor intensity of direct human impact and the corresponding impact on 21 marine ecosystems over 11 years (2003-2013). To determine annual change in impact, we applied a linear regression model to each raster cell. Code used in analyzing these data is available as a zipped GitHub repository, impact_acceleration-1.0.zip, in this dataset's parent (CITATION HERE). These data include the following: Raw stressor intensity rasters for 2003 to 2013. These rasters are created using scripts located in the 'stressors' folder of the 'impact_acceleration' Github repository. Rescaled stressor intensity rasters for 2003 to 2013. Raw stressor intensities are rescaled to values between 0 and 1, using either known or estimated ecosystem thresholds or upper quantile values from the distribution of global stressor intensity values across years. These rasters are created using scripts located in the 'stressors' folder of the 'impact_acceleration' Github repository. Impact rasters for 2003 to 2013 which describe the impact of the stressor based on the vulnerability of 21 marine ecosystems to the stressor. The impact of the stressor is estimated by multiplying the stressor's intensity by the corresponding ecosystem vulnerability where the ecosystem occurs. The average impact of each stressor, across all ecosystems, is estimated by summing the stressor-by-ecosystem vulnerability combinations and dividing by the number of ecosystems within each cell. These rasters are created using scripts located in the 'impacts' folder of the 'impact_acceleration' Github repository. A trend raster describing the average annual change in impact from 2003 to 2013. This raster is created using scripts located in the 'trend' folder of the 'impact_acceleration' Github repository. Files describing the cumulative impacts and additional stressors are provided in other KNB datasets.
DOI: 10.5063/f1nz85zn
title: Recent pace of change in human impact on the world's ocean: Shipping

description: These are the stressor and impact data for shipping for the publication: 'Recent pace of change in human impact on the world's ocean' (Halpern et al. 2019). This pressure describes intensity of global shipping traffic. We describe the stressor intensity of shipping and the corresponding impact on 21 marine ecosystems over 11 years (2003-2013). To determine annual change in impact, we applied a linear regression model to each raster cell. Code used in analyzing these data is available as a zipped GitHub repository, impact_acceleration-1.0.zip, in this dataset's parent (CITATION HERE). These data include the following: Raw stressor intensity rasters for 2003 to 2013. These rasters are created using scripts located in the 'stressors' folder of the 'impact_acceleration' Github repository. Rescaled stressor intensity rasters for 2003 to 2013. Raw stressor intensities are rescaled to values between 0 and 1, using either known or estimated ecosystem thresholds or upper quantile values from the distribution of global stressor intensity values across years. These rasters are created using scripts located in the 'stressors' folder of the 'impact_acceleration' Github repository. Impact rasters for 2003 to 2013 which describe the impact of the stressor based on the vulnerability of 21 marine ecosystems to the stressor. The impact of the stressor is estimated by multiplying the stressor's intensity by the corresponding ecosystem vulnerability where the ecosystem occurs. The average impact of each stressor, across all ecosystems, is estimated by summing the stressor-by-ecosystem vulnerability combinations and dividing by the number of ecosystems within each cell. These rasters are created using scripts located in the 'impacts' folder of the 'impact_acceleration' Github repository. A trend raster describing the average annual change in impact from 2003 to 2013. This raster is created using scripts located in the 'trend' folder of the 'impact_acceleration' Github repository. Files describing the cumulative impacts and additional stressors are provided in other KNB datasets.
DOI: 10.5063/f1sq8xqf
title: Recent pace of change in human impact on the world's ocean: Light pollution

description: These are the stressor and impact data for light pollution for the publication: 'Recent pace of change in human impact on the world's ocean' (Halpern et al. 2019). This stressor estimates the magnitude of light pollution in coastal environments. We describe the stressor intensity of light pollution and the corresponding impact on 21 marine ecosystems over 11 years (2003-2013). To determine annual change in impact, we applied a linear regression model to each raster cell. Code used in analyzing these data is available as a zipped GitHub repository, impact_acceleration-1.0.zip, in this dataset's parent (CITATION HERE). These data include the following: Raw stressor intensity rasters for 2003 to 2013. These rasters are created using scripts located in the 'stressors' folder of the 'impact_acceleration' Github repository. Rescaled stressor intensity rasters for 2003 to 2013. Raw stressor intensities are rescaled to values between 0 and 1, using either known or estimated ecosystem thresholds or upper quantile values from the distribution of global stressor intensity values across years. These rasters are created using scripts located in the 'stressors' folder of the 'impact_acceleration' Github repository. Impact rasters for 2003 to 2013 which describe the impact of the stressor based on the vulnerability of 21 marine ecosystems to the stressor. The impact of the stressor is estimated by multiplying the stressor's intensity by the corresponding ecosystem vulnerability where the ecosystem occurs. The average impact of each stressor, across all ecosystems, is estimated by summing the stressor-by-ecosystem vulnerability combinations and dividing by the number of ecosystems within each cell. These rasters are created using scripts located in the 'impacts' folder of the 'impact_acceleration' Github repository. A trend raster describing the average annual change in impact from 2003 to 2013. This raster is created using scripts located in the 'trend' folder of the 'impact_acceleration' Github repository. Files describing the cumulative impacts and additional stressors are provided in other KNB datasets.
DOI: 10.6073/pasta/0fb149ced55edb32c282deb234caab56
title: Large consumer isotope values, Shark River Slough, Everglades National Park (FCE LTER), May 2005 to Present

description: This dataset provides information on the stable isotope values from multiple tissues from various consumers (especially bull sharks and American alligators) sampled within the Shark River Slough.
DOI: 10.5281/zenodo.3364835
title: DWD European Weather 2

description: opendata.dwd.de - OpenData by Deutscher Wetter Dienst Conditions: https://www.dwd.de/EN/service/copyright/copyright_node.html dates and times are UTC.
DOI: 10.7910/dvn/aipwnu/05a2jp
title: iREDS PREANALYSIS PLAN.pdf

description: This file contains a link to the full preanalysis plan registered on the OSF, and a summary of all directional expectations for the items we analyze in the paper.
DOI: 10.25345/c52653
title: MassIVE MSV000084189 - GNPS_DATASET_SUBMISSION_TEST_TRIAL
title: This is just a submission test This is just a submission test This is just a submission test This is just a submission test This is just a submission test This is just a submission test This is just a submission test
DOI: 10.25919/5d4e7f31c0284
title: Parkes observations for project P1006 semester 2019APRS_11

description: We propose observations with the ultra-wide-bandwidth, low-frequency receiver installed at the Parkes telescope to carry out the first ultra-high time resolution, coherently de-dispersed search for pulsars in globular clusters. We have chosen the 11 most likely clusters for new discoveries. These clusters all have at least three pulsars already known allowing us to have a precise estimate of the pulsar dispersion measures and our observations will provide the first ultra-wide-bandwidth observation of these pulsars. Our observing strategy will enable us to search for extremely narrow pulsars and even pulsars with sub-millisecond periods.
DOI: 10.7910/dvn/ojvsy9/9afwx9
title: bad_state3.txt

description: :unav
DOI: 10.7910/dvn/ojvsy9/jnykgi
title: disagreement_raw_badsites.tab

description: :unav
DOI: 10.7910/dvn/ojvsy9/ourton
title: dataset_goodsites.RData

description: :unav
DOI: 10.7910/dvn/ojvsy9/u6vnva
title: disagreement_data_badsites.txt

description: :unav
DOI: 10.7910/dvn/ojvsy9/upxjqb
title: history.odc

description: :unav
DOI: 10.7910/dvn/ojvsy9/vfc0iq
title: history.odc

description: :unav
DOI: 10.7910/dvn/ojvsy9/3day61
title: codaChain2.txt

description: :unav
DOI: 10.7910/dvn/ojvsy9/4botpg
title: disagreement_balance.tab

description: :unav
DOI: 10.7910/dvn/ojvsy9/6oonxa
title: density.odc

description: :unav
DOI: 10.7910/dvn/ojvsy9/9ocoze
title: BalanceTest10152013.txt

description: :unav
DOI: 10.7910/dvn/ojvsy9/dvgbqe
title: bad_state1.txt

description: :unav
DOI: 10.7910/dvn/ojvsy9/dzyon9
title: good_state2.txt

description: :unav
DOI: 10.7910/dvn/ojvsy9/grkfmc
title: disagreement_model_badsites.txt

description: :unav
DOI: 10.7910/dvn/ojvsy9/kh3dln
title: codaChain3.txt

description: :unav
DOI: 10.7910/dvn/ojvsy9/tsubf2
title: balancetest.R

description: :unav
DOI: 10.7910/dvn/ojvsy9/xa4t0s
title: disagreement_data_goodsites.txt

description: :unav
DOI: 10.7910/dvn/ojvsy9/0uyae7
title: codaIndex.txt

description: :unav
DOI: 10.7910/dvn/ojvsy9/fnfp8u
title: bad_state2.txt

description: :unav
DOI: 10.7910/dvn/ojvsy9/i7sbkh
title: density.odc

description: :unav
DOI: 10.7910/dvn/ojvsy9/kjxq17
title: disagreement_datasetup.R

description: :unav
DOI: 10.7910/dvn/ojvsy9/njsykp
title: disagreement_raw_goodsites.tab

description: :unav
DOI: 10.7910/dvn/ojvsy9/pbywql
title: dataset_badsites.RData

description: :unav
DOI: 10.7910/dvn/ojvsy9/rkhmi2
title: stats.txt

description: :unav
DOI: 10.7910/dvn/ojvsy9/trr7cb
title: disagreement_model_goodsites.txt

description: :unav
DOI: 10.7910/dvn/ojvsy9/y2odvf
title: disagreement_script.txt

description: :unav
DOI: 10.7910/dvn/ojvsy9/51gabf
title: stats.txt

description: :unav
DOI: 10.7910/dvn/ojvsy9/a1vidd
title: codaChain1.txt

description: :unav
DOI: 10.7910/dvn/ojvsy9/cbuixa
title: disagreement_plots.R

description: :unav
DOI: 10.7910/dvn/ojvsy9/easunt
title: codaIndex.txt

description: :unav
DOI: 10.7910/dvn/ojvsy9/gfk9ya
title: codaChain3.txt

description: :unav
DOI: 10.7910/dvn/ojvsy9/lc53x0
title: codaChain1.txt

description: :unav
DOI: 10.7910/dvn/ojvsy9/ozem64
title: good_state1.txt

description: :unav
DOI: 10.7910/dvn/ojvsy9/sy2rux
title: disagreement_script.txt

description: :unav
DOI: 10.7910/dvn/ojvsy9/wxqamt
title: good_state3.txt

description: :unav
DOI: 10.7910/dvn/ojvsy9/xc71jg
title: codaChain2.txt

description: :unav
DOI: 10.18112/openneuro.ds001946.v1.0.1
title: Hippocampal-neocortical interactions sharpen over time for predictive actions
DOI: 10.25345/c5xh2t
title: MassIVE MSV000084190 - GNPS_FISH_LIBRARY_LIPODEPSIPEPTIDES
title: A comparative global natural products social (GNPS) molecular networking analysis of 63 co-isolated fungi yielded isolation of new scopularides C-H and the known scopularides A and B
DOI: 10.25919/5d4e873d4afbf
title: Parkes observations for project P885 semester 2019APRS_11

description: We propose to observe the magnetars 1E 1547.0-5408 and PSR J1622-4950 approximately weekly, to track their rotation, flux density, and polarisation, as we have been doing through this project. As of this week (8 Dec 2018), XTE J1810-197 is again a radio magnetar, after 10 years dormant! (We have been observing it sporadically during its low state waiting for such an event.) Its likely chaotic rotation will be better tracked in detail elsewhere, but weekly observations with the UWL receiver will provide unique measurements of its radio spectrum and broad-band behaviour. Our observations provide an important window into remarkably dynamic magnetar magnetospheres, and characterise the conditions under which radio emission takes place therein, placing constraints on the emission mechanisms, which in at least some significant respects differ from those of ordinary pulsars.
DOI: 10.17632/rc78y76pyr.1
title: Data for: Sensitivity Analysis of the Dependence of the Carbon Bond Mechanism IV (CBM-IV) on the Initial Air Composition under an Urban Condition

description: The input files of the model, and output files showing the computational results.
DOI: 10.25345/c5dh25
title: MassIVE MSV000084194 - GNPS- HRGC-EI-MS HRGC-PCI-MS HRGC-NCI-MS oF NIST SRM 1950 Plasma
title: Abstract Rationale: Gas chromatography mass spectrometry (GC/MS) platforms for use in high through put and discovery metabolomics have heavily relied on time of flight and low (i.e., unit) resolution (quadruples and trap) mass spectrometers and are typically run on electron ionization (EI) modes for matching spectral libraries. However, soft ionization techniques such as chemical ionization (CI), have not been explored sufficiently for metabolomics application since the inception of high resolution mass spectrometry (HRMS) platforms for complementing EI-MS efforts in discovery metabolomics. Methods: We used a commercially available NIST SRM 1950 plasma reference sample to enhance the chemical space of human plasma samples using a HR-MS platform, i.e., GC-Orbitrap-MS with EI and CI capabilities for confident metabolite identification to assess the suitability of the platform for routine clinical metabolomics research. Using a suite of open source tools (MS-DIAL 3.9 and MS-FINDER 3.22) and commercial (Compound Discoverer 2.1 and TraceFinder 4.1) for data analysis and confident metabolite identification and quantification, we validated the findings with an in house library for EI-MS and CI-MS spectra obtained from chemical standards. Results: We confidently identified 263, 93 and 65, metabolites using EI, PCI and NCI modes respectively, in NIST SRM 1950 plasma. Of these, 270 metabolites (64%) were validated using in house chemical standards library with spectra and retention time/ index (RT, RI). Further, using CI alone, using MS-FINDER 3.22 we could predict another 41 metabolites from NIST SRM 1950 plasma. Thus, GC-EI/CI-MS together can confident and provide quantitative information of 369 metabolites in comparison to LC-MS based efforts till date which is 513 metabolites, with 63 common metabolites, from NIST SRM 1950 plasma. Conclusions: We underscore the usage of HRMS metabolomics that uses EI and CI-MS capabilities on a GC-MS as well as LC-ESI-MS platforms in clinical metabolomics research, thus helping expand on the chemical space of the complex biological samples. Moreover, using open source tools and databases , one can perform robust metabolite annotation and quantification.
DOI: 10.7910/dvn/jbogc9/4ge4ey
title: 3_3_panel_analysis.do

description: :unav
DOI: 10.7910/dvn/jbogc9/ffloxv
title: 2019_6_5_descriptive_statistics.log

description: :unav
DOI: 10.7910/dvn/jbogc9/fr09mu
title: 2019_6_5_analyses_price_effects.log

description: :unav
DOI: 10.7910/dvn/jbogc9/o6dsvp
title: 3_2_panel_graphs.do

description: :unav
DOI: 10.7910/dvn/jbogc9/sbpux6
title: ReadMe.docx

description: :unav
DOI: 10.7910/dvn/jbogc9/xbqykl
title: 00_Power of Disclosure.stpr

description: :unav
DOI: 10.7910/dvn/jbogc9/7x8u88
title: 3_1_panel_matching.do

description: :unav
DOI: 10.7910/dvn/jbogc9/e3dpvh
title: 1_2_graphs.do

description: :unav
DOI: 10.7910/dvn/jbogc9/gcsjzo
title: codebook_immo_panel.log

description: :unav
DOI: 10.7910/dvn/jbogc9/kjfb4s
title: 0_master.do

description: :unav
DOI: 10.7910/dvn/jbogc9/lxbqiq
title: 1_1_descriptives.do

description: :unav
DOI: 10.7910/dvn/jbogc9/lzautn
title: codebook_immo_transaction.log

description: :unav
DOI: 10.7910/dvn/jbogc9/onywrg
title: 2_2_analysis_transactprice.do

description: :unav
DOI: 10.7910/dvn/jbogc9/pfyyic
title: codebook_immo.log

description: :unav
DOI: 10.7910/dvn/jbogc9/t9ee2b
title: 2_1_analysis.do

description: :unav
DOI: 10.7910/dvn/jbogc9/o5xnzd
title: 2019_6_5_analyses_disclosure.log

description: :unav
DOI: 10.7910/dvn/jbogc9/vlrryw
title: 2019_6_5_analyses_transaction_offerprice.log

description: :unav
DOI: 10.5281/zenodo.3365611
title: Data of the Paper "How to Communicate when Submitting Patches: an Empirical Study of the Linux Kernel"

description: This repository includes the data of the paper "How to Communicate when Submitting Patches: an Empirical Study of the Linux Kernel". It contains three parts: Related online documents. Original questionnaire of the survey. Survey results.
description: CSCW 2019 Paper
DOI: 10.5281/zenodo.3365612
title: Data of the Paper "How to Communicate when Submitting Patches: an Empirical Study of the Linux Kernel"

description: This repository includes the data of the paper "How to Communicate when Submitting Patches: an Empirical Study of the Linux Kernel". It contains three parts: Related online documents. Original questionnaire of the survey. Survey results.
description: CSCW 2019 Paper
DOI: 10.21227/zwb0-pc69
title: turbine

description: SImulation resultsunder construction, will be submitted shortly
DOI: 10.15468/jv7a7p
title: Gastropods from the Cretaceous-Palaeogene boundary in Denmark

description: This dataset contains the digitized treatments in Plazi based on the original journal article Hansen, Thomas (2019): Gastropods from the Cretaceous-Palaeogene boundary in Denmark. Zootaxa 4654 (1): 1-196, DOI: https://doi.org/10.11646/zootaxa.4654.1.1
DOI: 10.17632/fhb9vjjzvp.1
title: Data for: Protecting an important goal: When prior self-control increases motivation for active goal pursuit

description: SPSS data and syntax for results reported in Investigating self-control exertion as an efficient process: Brief self-control activates selective motivational allocation
DOI: 10.5281/zenodo.3365615
title: Dataset for "Determination of BC mass concentration from aerosol light absorption using variable MAC"

description: This repository contains the data for the manuscript "<strong>Determination of BC mass concentration from aerosol light absorption using variable MAC</strong>" submitted to <em>Atmospheric</em> <em>Environment</em>.
DOI: 10.5281/zenodo.3365616
title: Dataset for "Determination of BC mass concentration from aerosol light absorption using variable MAC"

description: This repository contains the data for the manuscript "<strong>Determination of BC mass concentration from aerosol light absorption using variable MAC</strong>" submitted to <em>Atmospheric</em> <em>Environment</em>.
DOI: 10.7910/dvn/l1ndqe/3ha9ih
title: robots - replication file revision 16052019.do

description: replication do file
DOI: 10.7910/dvn/l1ndqe/6hap1y
title: Robots dataset for replication.tab

description: stata dataset
DOI: 10.7910/dvn/l1ndqe/snynqq
title: Automation, Job characteristics and Job Insecurity - International Journal of Manpower - Tables revision and Online Appendix.docx

description: this file includes the only appendix
DOI: 10.21227/rebn-7y09
title: Website Fingerprinting - Last Level Cache Contention Traces

description: Website fingerprinting attacks, which use statistical analysis on network traffic to compromise user privacy, have been shown to be effective even if the traffic is sent over anonymity-preserving networks such as Tor. The classical attack model used to evaluate website fingerprinting attacks assumes an on-path adversary, who can observe all traffic traveling between the user's computer and the secure network. In this work we investigate these attacks under a different attack model, in which the adversary is capable of sending a small amount of malicious JavaScript code to the target user's computer. The malicious code mounts a cache side- channel attack, which exploits the effects of contention on the CPU's cache, to identify other websites being browsed. The effectiveness of this attack scenario has never been systematically analyzed, especially in the open-world model which assumes that the user is visiting a mix of both sensitive and non-sensitive sites. We show that cache website fingerprinting attacks in JavaScript are highly feasible. Specifically, we use machine learning techniques to classify traces of cache activity. Unlike prior works, which try to identify cache conflicts, our work measures the overall occupancy of the last- level cache. We show that our approach achieves high classification accuracy in both the open-world and the closed- world models. We further show that our attack is more resistant than network-based fingerprinting to the effects of response caching, and that our techniques are resilient both to network-based defenses and to side-channel countermeasures introduced to modern browsers as a response to the Spectre attack. To protect against cache-based website fingerprinting, new defense mechanisms must be introduced to privacy-sensitive browsers and websites. We investigate one such mechanism, and show that generating artificial cache activity reduces the effectiveness of the attack and completely eliminates it when used in the Tor Browser.