cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3474631
title: 0.2 ms of asymmetric GM1:POPC/POPC (1:99/100) bilayer

description: Lollipop-like GM1. Second 25 microseconds of total 200 microseconds.
DOI: 10.7910/dvn/fragbd/citfru
title: Kebede et al 2018b.tab

description: :unav
DOI: 10.21227/9bc1-ay69
title: MIRAGE: Mobile-app Traffic Capture and Ground-truth Creation

description: Network traffic analysis, i.e. the umbrella of procedures for distilling information from network traffic, represents the enabler for highly-valuable profiling information, other than being the workhorse for several key network management tasks. While it is currently being revolutionized in its nature by the rising share of traffic generated by mobile and hand-held devices, existing design solutions are mainly evaluated on private traffic traces, and only a few public datasets are available, thus clearly limiting repeatability and further advances on the topic.To this end, we have designed and implemented MIRAGE, a reproducible architecture for mobile-app traffic capture and ground-truth creation. The outcome of this system is MIRAGE-2019, a human-generated dataset for mobile traffic analysis (with associated ground-truth) having the goal of advancing the state-of-the-art in mobile app traffic analysis.MIRAGE-2019 is expected to be capitalized by the networking community for different tasks related to mobile traffic analysis.
DOI: 10.24378/exe.1904
title: Acoustic enrichment can enhance fish community development on degraded coral reef habitat (dataset)

description: Coral reefs worldwide are increasingly damaged by anthropogenic stressors, necessitating novel approaches for their management. Maintaining healthy fish communities counteracts reef degradation, but degraded reefs smell and sound less attractive to settlement-stage fishes than their healthy states. Here, using a six-week field experiment, we demonstrate that playback of healthy reef sound can increase fish settlement and retention to degraded habitat. We compare fish community development on acoustically enriched coral-rubble patch reefs with acoustically unmanipulated controls. Acoustic enrichment enhances fish community development across all major trophic guilds, with a doubling in overall abundance and 50% greater species richness. If combined with active habitat restoration and effective conservation measures, rebuilding fish communities in this manner might accelerate ecosystem recovery at multiple spatial and temporal scales. Acoustic enrichment shows promise as a novel tool for the active management of degraded coral reefs.
description: Raw data associated with Gordon et al, 2019, Nature Communications, Acoustic enrichment can enhance fish community development on degraded coral reef habitat
description: The article associated with this dataset is available in ORE at: http://hdl.handle.net/10871/39924
DOI: 10.21227/sqev-gd73
title: MIRAGE: Mobile-app Traffic Capture and Ground-truth Creation

description: Network traffic analysis, i.e. the umbrella of procedures for distilling information from network traffic, represents the enabler for highly-valuable profiling information, other than being the workhorse for several key network management tasks. While it is currently being revolutionized in its nature by the rising share of traffic generated by mobile and hand-held devices, existing design solutions are mainly evaluated on private traffic traces, and only a few public datasets are available, thus clearly limiting repeatability and further advances on the topic. To this end, we have designed and implemented MIRAGE, a reproducible architecture for mobile-app traffic capture and ground-truth creation. The outcome of this system is MIRAGE-2019, a human-generated dataset for mobile traffic analysis (with associated ground-truth) having the goal of advancing the state-of-the-art in mobile app traffic analysis. MIRAGE-2019 is expected to be capitalized by the networking community for different tasks related to mobile traffic analysis.
DOI: 10.7910/dvn/c9z4i4/j2kikn
title: Kebede et al. 2019a.tab

description: :unav
DOI: 10.7910/dvn/dblb8k/gwsonk
title: Dados_DELTA_Fase1_Nnet.tab

description: :unav
DOI: 10.21227/03e3-ze12
title: MIRAGE: Mobile-app Traffic Capture and Ground-truth Creation

description: Network traffic analysis, i.e. the umbrella of procedures for distilling information from network traffic, represents the enabler for highly-valuable profiling information, other than being the workhorse for several key network management tasks. While it is currently being revolutionized in its nature by the rising share of traffic generated by mobile and hand-held devices, existing design solutions are mainly evaluated on private traffic traces, and only a few public datasets are available, thus clearly limiting repeatability and further advances on the topic. To this end, we have designed and implemented MIRAGE, a reproducible architecture for mobile-app traffic capture and ground-truth creation. The outcome of this system is MIRAGE-2019, a human-generated dataset for mobile traffic analysis (with associated ground-truth) having the goal of advancing the state-of-the-art in mobile app traffic analysis. MIRAGE-2019 is expected to be capitalized by the networking community for different tasks related to mobile traffic analysis.
DOI: 10.17034/6eb4fbfe-b527-426e-8618-4a066d1d5252
title: Polarization Insensitive, Wide-Angle, Ultra-wideband, Flexible, Resistively Loaded, Electromagnetic Metamaterial Absorber using Conventional Inkjet-Printing Technology

description: Measured data of the homonym article
DOI: 10.7910/dvn/y9fp8u/x4kh74
title: Emotion and voice data.tab

description: :unav
DOI: 10.5281/zenodo.3475358
title: A localization transition underlies the mode-coupling crossover of glasses

description: This dataset is associated to "A localization transition underlies the mode-coupling crossover of glasses" by D. Coslovich, A. Ninarello and L. Berthier [https://arxiv.org/abs/1811.03171]. It includes post-processed data and workflow to reproduce the analysis and the figures of the article and of the supplemental information. <strong>Supplementary information is available in the Supplement section of the project document (project.pdf).</strong> The easiest way to reproduce the analysis and figures, and then check the results, is to use the make script: <pre><code class="language-bash">./make all</code></pre> Alternatively, the analysis and figures can be reproduced in any of the following ways following the workflow described in the org-mode project file project.org using the individual bash and gnuplot scripts in src/ and plots/ Folders and files description: analysis/: post-processed data src/: bash, python and gnuplot scripts needed to reproduce the analysis plots/: eps figures that appear in the paper and supplemental information and associated gnuplot scripts make: convenience script to setup the python environment, analyze the data and reproduce the figures project.org: org-mode project file with workflow and supplemental information project.pdf: pdf project file with workflow and supplemental information project.bib: bibtex bibliography associated to the project Dependencies: numpy (1.16.3) scipy (1.3.1) argh (0.26.2) atooms (1.9.1) gnuplot (5.0.0) The analysis scripts have been tested with python versions 2.7 and 3.5. The org-mode project file has been tested with org version 9.1.13. Note: this dataset does not contain (at least yet) the particle configurations associated to saddle points, only the post-processed files containing selected properties of their normal modes. Changelog: 1.0.0 initial submission 1.1.0 add "all" target to ./make fix ./make check improve setup description 1.2.0 add analysis of eigenvector-following optimizations small changes and fixes to analysis scripts
DOI: 10.7910/dvn/kyn05a/f6tmr2
title: Kingston_NOSL (1752-69).tab

description: Naval Office Shipping Lists for Kingston, Jamaica from 1752-1769
DOI: 10.25386/genetics.7722092
title: Supplemental Material for Hercyk and Das, 2019

description: Supplemental figures and strain list<br>
DOI: 10.25386/genetics.7722092.v1
title: Supplemental Material for Hercyk and Das, 2019

description: Supplemental figures and strain list<br>
DOI: 10.5281/zenodo.3475141
title: 0.2 ms of asymmetric GM1:POPC/POPC (1:99/100) bilayer

description: Lollipop-like GM1. Third 25 microseconds of total 200 microseconds.
DOI: 10.15468/yyptap
title: Modiolus cimbricus sp. nov. (Bivalvia: Mytilidae) endemic in the Kattegat-Skagerrak

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ockelmann, Kurt W., Cedhagen, Tomas (2019): Modiolus cimbricus sp. nov. (Bivalvia: Mytilidae) endemic in the Kattegat-Skagerrak. European Journal of Taxonomy 556: 1-13, DOI: https://doi.org/10.5852/ejt.2019.556
DOI: 10.14469/hpc/6213
title: Jeol JDF format

description: NMR data file
DOI: 10.18739/a2gq6r26x
title: Ice-Tethered Profiler Biogeochemical Time-Series Data, Arctic Ocean, 2012-2014

description: The goal of the proposed study is to establish an Arctic Observing Network (AON) for sea surface partial pressure of CO2 (pCO2) and pH in the perennially ice-covered portion of the Arctic Ocean. The carbon cycle is of particular concern in the Arctic because it is unknown how carbon sources and sinks will change in response to warming and the reduction of summer sea ice cover, and whether these changes will lead to increased greenhouse gas accumulation in the atmosphere. Furthermore, the penetration of anthropogenic CO2 into the Arctic Ocean is leading to acidification with potentially serious consequences for organisms. Little is known about pCO2 and the inorganic carbon cycle in the central Arctic Ocean because most measurement programs to date have focused on the Arctic shelves during the accessible summer period. The investigators propose to use an existing component of the Arctic Observing Network, the Ice-Tethered Profilers (ITP), as platforms for deployment of in situ pCO2 and pH sensors. ITPs are automated profiling systems distributed throughout the perennial Arctic ice pack that telemeter data back to shore: 44 ITPs have been deployed since 2004 and the project is currently slated to continue through 2013. In the proposed work, a total of 6 ITPs will be equipped with CO2 sensors and four of these will also have pH sensors. The sensors will be fixed on the ITP cable ~2-4 meters below the ice. Each unit will include additional sensors for dissolved O2, salinity, and photosynthetically available radiation (and in some cases chlorophyll-a fluorescence) and will be capable of making 12 measurements per day for at least one year. These data, available in near real-time on the ITP web site (www.whoi.edu/itp/), will lead to a better understanding of the Arctic Ocean's role in regulating greenhouse gases and how the ecology of the Arctic will change with warming and acidification. The investigators will also engage in outreach programs including public presentations, podcasts, and school visits. A portion of the budget is also dedicated to the development of a climate-change/ocean acidification exhibit to be displayed in the University of Montana's science museum. The exhibit will reside at the museum for three months, then visit over 15 rural and tribal communities annually over a three year period. Undergraduate students will be recruited to assist with the sensor testing and data analysis, gaining a higher level of technical knowledge than possible through a traditional degree program. These data were collected using in situ sensors for the partial pressure of CO2 (pCO2), pH, dissolved oxygen (DO), photosynthetically available radiation (PAR), temperature, salinity and depth. Sensors were deployed at ~6 meter depth on ice-tethered profilers, in collaboration with Woods Hole Oceanographic Institution (Rick Krishfield and John Toole). Data are available at the website http://www.whoi.edu/page.do?pid=20781.
DOI: 10.15151/esrf-es-187114675
title: Structure of the RIP2K-XIAPBIR2 complex
DOI: 10.7910/dvn/xvgfwh/eq1neh
title: KAIOJR18005E.pdf

description: :unav
DOI: 10.18434/m31973
title: Smoke Alarm Distribution

description: This data set contains estimates of the percentage smoke detector utilization at the Census Tract level for the United States. Development of this data set is described in NIST TN 2020 (see references below).The zip file contains the data in shapefile format. Each record is a single census tract (using the 2013 Tiger files for census tracts) with associated data. Fields contained in the data set are:geoid: Geographic ID of the census tract. Format is '14000USXXYYYZZZZZZ', where XX is the FIPS code for the state, YYY is the FIPS code for the county, and ZZZZZZ is the census tract number. This field serves as a unique ID for the dataset.state: FIPS code for the state.county: FIPS code for the county.tract: Tract number.smsa: Standard Metropolitan Statistical Area as used in the American Housing Survey.PUMA: Public Use Microdata Area ID.region: Census region.dtctrs: Estimated fraction of households in the census tract with smoke detectors installed.
DOI: 10.5066/p9h3vnsn
title: Terrestrial Laser Scanning Data from Malakoff Diggins State Historic Park, Nevada County, California, 2014-17.

description: High-resolution, terrestrial laser scanning (TLS), was used to quantify the volume of sediment eroded from outcrops at Malakoff Diggins State Historic Park, located about 17 kilometers (km) northeast of Grass Valley, California. TLS was used to create centimeter-scale, three-dimensional (3-D) maps of the complex outcrop surfaces, which could not be mapped non-destructively or in sufficient detail with traditional surveying techniques. To develop a comprehensive sediment budget for the Malakoff Diggins mine pit that will help identify sources of sediment and metals within the pit that comprise the suspended sediment discharged from the pit into Humbug Creek, the USGS used TLS technology to quantify the eroded volumes and erosion rates of sedimentary units exposed in the pit walls. Eroded volumes from nineteen sedimentary units at four study sites located throughout the pit were calculated for the period December 2014 to August 2017. (Note that the monitoring sites were numbered 1, 2, 4, and 5.) Each survey at all four study sites was comprised of multiple lidar scans collected from different vantages that were combined into a composite 3-D point cloud. At all four study sites, the sequential surveys were co-registered or 'aligned' into a common and site-specific reference frame so that volumetric comparisons between surveys could be made. At each study site, sedimentary units were differentiated based on grain size, color, compaction, cementation, and slope angle. The various sedimentary units were mapped on the lidar point clouds and individually isolated for volumetric change analysis. The volumetric differences between surveys quantify the erosional and/or depositional volume change of each sedimentary unit.
DOI: 10.7910/dvn/8hbfd7/xbghqm
title: Transcriptome Analyses.tab

description: Analysis of transcriptome profiling of lung tissue from mice infected with influenza and treated with either rhu-pGSN (plasma gelsolin) or vehicle. See Table of Contents (sheet 1)
DOI: 10.7910/dvn/3b6nsq/3sfmnn
title: 134.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/4num58
title: 131.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/j7qwml
title: 137.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/mmx6l9
title: 132.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/pfbvda
title: 130.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/pq6d7g
title: 133.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/ri9t65
title: 135.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/sa5ujy
title: 136.tab

description: :unav
DOI: 10.5066/p9ho3g0r
title: Transportation Risk Assessment for Planning and Project Delivery (TRAPPD) Python Script Tool for Maine

description: Over 40,000 road crossings in Maine are maintained by Maine Department of Transportation (MaineDOT) managers, emergency managers, natural resource planners, and municipalities. Resource managers need a way to quickly and comprehensively assess, during the planning stages of potential transportation-related projects, how ecological, hydrologic, and structural characteristics of bridges and culverts and their watersheds could adversely affect project schedules and budgets. Factors that are critical to evaluate and incorporate into overall assessments of project risk include basin, land-use, and climatic characteristics; vulnerability to specific events, such as floods; and complicating factors in the watershed, such as endangered species, evacuation routes, and historical sites. A Python script tool has been built for ArcGIS Pro as an automated screening tool that draws on existing geographic information system (GIS) data layers to identify potential risk factors and quantify risk scores for bridges and culverts. This tool can help resource managers quickly evaluate projects, during early planning, in terms of variables that may adversely affect schedules or budgets.
DOI: 10.5281/zenodo.3474862
title: MD simulation trajectory for POPC bilayer with 128 lipid molecules (CHARMM36, Gromacs 5.1)

description: Equilibrated POPC lipid bilayer ran with Gromacs 5.1.2 with CHARMM36 lipid forcefield.<br> The simulation is composed of 128 POPC at full hydratation and ran for 500ns at 303K, data saved every 10ps.<br> This data is used in the project "Matching lipid force fields with NMR data". More information at : http://nmrlipids.blogspot.fi/
DOI: 10.5281/zenodo.3474863
title: MD simulation trajectory for POPC bilayer with 128 lipid molecules (CHARMM36, Gromacs 5.1)

description: Equilibrated POPC lipid bilayer ran with Gromacs 5.1.2 with CHARMM36 lipid forcefield.<br> The simulation is composed of 128 POPC at full hydratation and ran for 500ns at 303K, data saved every 10ps.<br> This data is used in the project "Matching lipid force fields with NMR data". More information at : http://nmrlipids.blogspot.fi/
DOI: 10.7910/dvn/3b6nsq/3pn8k3
title: 142.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/6zwztp
title: 145.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/8idflv
title: 143.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/8lxroz
title: 146.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/dtbzcm
title: 144.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/lglklq
title: 138.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/smq9p2
title: 141.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/unb0d6
title: 140.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/y53nmj
title: 147.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/zkouyl
title: 139.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/7ywwvr
title: 154.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/8qj6qq
title: 153.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/dah947
title: 150.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/gnryjo
title: 156.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/pq2fac
title: 148.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/pzxbai
title: 152.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/rfz1ch
title: 149.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/v94gkd
title: 151.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/3afug7
title: 163.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/b30ttk
title: 158.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/e3phpy
title: 162.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/it27le
title: 157.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/jootmr
title: 159.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/n5asmv
title: 155.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/pl63je
title: 164.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/yzptnx
title: 160.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/zlrli0
title: 161.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/foez2f
title: 173.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/qel3a0
title: 168.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/rtd1av
title: 167.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/skndqt
title: 170.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/tfucpm
title: 172.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/us1ndu
title: 166.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/vhka9e
title: 169.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/wgmfzd
title: 165.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/zdrrld
title: 171.tab

description: :unav
DOI: 10.6073/pasta/d8f6305c6a41e2deaff7067d35f7f46f
title: AGW01 Long-term measurement of groundwater physical and chemical properties from wells on watershed N04D at Konza Prairie

description: In 1988 and 1990, the U.S.Geological Survey, Lawrence, KS, drilled 31 wells at 20 sites within the N04D watershed at the Konza Prairie Research Natural Area. The wells range in depth from about 2 to 13 meters, and are nested to include wells completed in alluvium/colluvium near the N04D drainage and in two Permian-aged limestone&rsquo;s. In 1997, Konza LTER drilled an additional 4 wells at 3 sites, that range in depth from about 12 m to 37 m. The sites comprise four transects running approximately east-west across the drainage, and occupy the lower one-quarter of the surface area of the watershed. The geology of the area is characterized by patchy, near-stream alluvium/colluvium which overlies bedrock that is composed of thin (1-2 meter) limestones alternating with thicker (2-4 meter) shales. Beginning in 1990, water levels were measured and water samples collected quarterly. Since 1991, water levels have been measured and water samples for inorganic chemical analysis have been collected every four to six weeks; sample collection is by bailing wells after removing 1-2 well volumes of groundwater. The groundwater is then filtered through 0.45 micro; membrane filters by gravity feed or using a peristaltic pump. One 250-mL LDPE bottle is filled with 250 mL of sample and 5 mL of concentrated HNO3 for determination of major and minor cation concentrations. One 250-mL LDPE bottle is filled to the brim for anion determination by ion chromatography and alkalinity determination by titration with 0.02 N H2SO4. The bottles are stored on ice and later in a refrigerator.
DOI: 10.7910/dvn/3b6nsq/1q4yej
title: 179.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/3owgc1
title: 180.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/bqzyqz
title: 181.tab

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DOI: 10.7910/dvn/3b6nsq/f2vjkp
title: 178.tab

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DOI: 10.7910/dvn/3b6nsq/fljhio
title: 182.tab

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DOI: 10.7910/dvn/3b6nsq/hoso7u
title: 183.tab

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DOI: 10.7910/dvn/3b6nsq/hwpgxh
title: 176.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/ivnc8v
title: 177.tab

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DOI: 10.7910/dvn/3b6nsq/kfrz3x
title: 174.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/wgibfz
title: 175.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/3ml0hw
title: 185.tab

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DOI: 10.7910/dvn/3b6nsq/4pobth
title: 191.tab

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DOI: 10.7910/dvn/3b6nsq/ojnjie
title: 187.tab

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DOI: 10.7910/dvn/3b6nsq/r1b9nr
title: 186.tab

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DOI: 10.7910/dvn/3b6nsq/tgsw3e
title: 184.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/xwtd31
title: 188.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/ygmod3
title: 189.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/zwbrwe
title: 190.tab

description: :unav
DOI: 10.6073/pasta/695f7d7130940f1d2e291c058fd55382
title: GIS11: A GIS Coverage Defining Nature Trails on Konza Prairie (1982-present)

description: This dataset defines the nature trails found at Konza Prairie Biological Station (KPBS). The trails data shows locations of the different Konza maintained walking trails including leg distances and loop names. These data are available to download as zipped shapefiles (.zip), compressed Google Earth KML layers (.kmz), and associated EML metadata (.xml).
DOI: 10.7910/dvn/3b6nsq/atwvdl
title: 192.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/ftlaqa
title: 195.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/i1wjdj
title: 197.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/nqyycg
title: 198.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/umi7y1
title: 199.tab

description: :unav
DOI: 10.7910/dvn/3b6nsq/vqiwgj
title: 194.tab

description: :unav