Data from: Stone and Wessinger 2023, "Ecological diversification in an adaptive radiation of plants: the role of de novo mutation and introgression"DOI: 10.1101/2023.11.01.565185The code used to conduct analyses from this study can be found here: https://github.com/benstemon/MBE-23-0936The raw sequencing reads generated from this study have been deposited on the SRA under Project number: PRJNA1057825This repository contains a README.md file, which contains information on all files included.
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Data and analysis script for channel measurement campaign at POWDER-RENEW using Iris SDRs
This repository contains our raw datasets from channel measurements performed at the University of Utah campus. In addition, we have included a document that explains the setup and methodology used to collect this data, as well as a very brief discussion of results. File organization: * documentation/ - Contains a .docx with the description of the setup and evaluation. * data/ - HDF5 files containing both metadata and raw IQ samples for each location at which data was collected. Notice we collected data at 14 different client locations. See map in the attached docx (skipped locations 12 and 16). We deployed 5 different receivers at 5 different rooftops. Due to resource constraints, one set of files contains data from 4 different locations whereas another set contains information from the single remaining location. We have developed a set of python scripts that allow us to parse and analyze the data. Although not included here, they can be found in our public repository: https://github.com/renew-wireless/RENEWLab You can find the top script here.</p> For more information on the POWDER-RENEW project please visit the POWDER website. The RENEW part of the project focuses on the deployment of an open-source massive MIMO system. Please visit our website for more information.</p>
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- Award ID(s):
- 1827940
- PAR ID:
- 10320280
- Publisher / Repository:
- Zenodo
- Date Published:
- Edition / Version:
- 0.2
- Subject(s) / Keyword(s):
- channel measurements wireless POWDER RENEW
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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This dataset contains meteorology and snow observation data collected at sites in the southwestern Colorado Rocky Mountains during water years 2019-2021. Data collection had an emphasis on paired open-forest sites and included three forested elevations. In total, we present 270 snow pit observations, 4,019 snow depth measurements, and three years of meteorological forcing from two weather stations (one in a meadow, the other in an adjacent forest). The dataset is described in a forthcoming publication of the same name: A meteorology and snow dataset from adjacent forested and meadow sites at Crested Butte, CO, USA</em> (Bonner et al., 2022).</p> All snow observation and meteorological forcing data are available as both .nc and .mat files. Additionally, original digitized copies of snow pit observations are provided as .gsheet/.xlxs files.</p> This dataset will continue to be updated, via this repository, as additional years of data are collected.</p>more » « less
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This dataset is a compressed archive that includes 2 data files in binary format, 4 files in csv format, and 2 metadata files (pdf documents) that provide information on how to interpret the data. This data was collected from instruments deployed on two stratospheric balloons, launched a day apart in late June 2021 from central Oregon. They flew on upper level winds to the west, out over the northeastern Pacific Ocean. The measurement objective was a multi-day set of vertical electric field and polar conductivity measurements at roughly a 10 minute cadence, and from widely separated locations in the stratosphere. The binary format data is comprehensive, including everything that was measured. The csv files have been processed from the raw data files into calibrated, timed, and time-ordered ASCII files containing the primary science measurements and some essential auxiliary measurements such as measurement location and time. This data was collected in an effort to (1) compare the fair-weather return current density at different geographic locations and (2) to compare the fair-weather current density with global thunderstorm activity.more » « less
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{"Abstract":["A biodiversity dataset graph: DataONE<\/p>\n\nThe intended use of this archive is to facilitate meta-analysis of the Data Observation Network for Earth (DataONE, [1]). DataONE is a distributed infrastructure that provides information about earth observation data. <\/p>\n\nThis dataset provides versioned snapshots of the DataONE network as tracked by Preston [2] between 17 October 2018 and 7 July 2019. <\/p>\n\nThe archive consists of 256 individual parts (e.g., preston-00.tar.gz, preston-01.tar.gz, ...) to allow for parallel file downloads. The archive contains three types of files: index files, provenance files and data files. Only two index and provenance files are included and have been individually included in this dataset publication. Index files provide a way to links provenance files in time to eestablish a versioning mechanism. Provenance files describe how, when and where the DataONE meta-data files were retrieved. For more information, please visit https://preston.guoda.bio or https://doi.org/10.5281/zenodo.1410543). <\/p>\n\nTo retrieve and verify the downloaded DataONE biodiversity dataset graph, first concatenate all the downloaded preston-*.tar.gz files (e.g., cat preston-*.tar.gz > preston.tar.gz). Then, extract the archives into a "data" folder. Alternatively, you can use the preston[2] command-line tool to "clone" this dataset using:<\/p>\n\n$$ java -jar preston.jar clone --remote https://zenodo.org/record/3277312/files<\/p>\n\nAfter that, verify the index of the archive by reproducing the following result:<\/p>\n\n$$ java -jar preston.jar history\n<0659a54f-b713-4f86-a917-5be166a14110> <http://purl.org/pav/hasVersion> <hash://sha256/8c67e0741d1c90db54740e08d2e39d91dfd73566ea69c1f2da0d9ab9780a9a9f> .\n<hash://sha256/3ed3acaca7ac57f546d0b8877c1927ab5e08c23eccaa8219600c59c77a72c685> <http://purl.org/pav/previousVersion> <hash://sha256/8c67e0741d1c90db54740e08d2e39d91dfd73566ea69c1f2da0d9ab9780a9a9f> .\n<hash://sha256/857753997a7595a1b372b05641b58a25d9408b7ff08d557ce1fe8b73e4bd383f> <http://purl.org/pav/previousVersion> <hash://sha256/3ed3acaca7ac57f546d0b8877c1927ab5e08c23eccaa8219600c59c77a72c685> .\n<hash://sha256/7ee0376f4c3f7aeeda36927a5211395e5da8201e810e8c7e638a0fe23d001e88> <http://purl.org/pav/previousVersion> <hash://sha256/857753997a7595a1b372b05641b58a25d9408b7ff08d557ce1fe8b73e4bd383f> .\n<hash://sha256/68b4974d8ab7c4c7a7a4305065839b60ba460aaa862590b34c67877738feba90> <http://purl.org/pav/previousVersion> <hash://sha256/7ee0376f4c3f7aeeda36927a5211395e5da8201e810e8c7e638a0fe23d001e88> .\n<hash://sha256/060a76d56255bf9482c951748c91291fddeeb20f180632132be1344e081b2372> <http://purl.org/pav/previousVersion> <hash://sha256/68b4974d8ab7c4c7a7a4305065839b60ba460aaa862590b34c67877738feba90> .\n<hash://sha256/29357bdfab4548025f8a5743301f5c3c9146fa436c39e3c9e019fb9409ac9c42> <http://purl.org/pav/previousVersion> <hash://sha256/060a76d56255bf9482c951748c91291fddeeb20f180632132be1344e081b2372> .\n<hash://sha256/3669cd95100d1d533eb8953ff4ec5092cbd8addb8879b3e6262191148a8a3ebb> <http://purl.org/pav/previousVersion> <hash://sha256/29357bdfab4548025f8a5743301f5c3c9146fa436c39e3c9e019fb9409ac9c42> .\n<hash://sha256/8dc1663299359d271cb1b4c14ad521d0f1be67743689dd18016543dc1e097efb> <http://purl.org/pav/previousVersion> <hash://sha256/3669cd95100d1d533eb8953ff4ec5092cbd8addb8879b3e6262191148a8a3ebb> .\n<hash://sha256/dc4903e8afee651db1d9bf509f20503bf9c8e89679c4bcffb46d5b97440cb6de> <http://purl.org/pav/previousVersion> <hash://sha256/8dc1663299359d271cb1b4c14ad521d0f1be67743689dd18016543dc1e097efb> .<\/p>\n\nTo check the integrity of the extracted archive, confirm that each line produce by the command "preston verify" produces lines as shown below, with each line including "CONTENT_PRESENT_VALID_HASH". Depending on hardware capacity, this may take a while.<\/p>\n\n$ java -jar preston.jar verify\nhash://sha256/e55c1034d985740926564e94decd6dc7a70f779a33e7deb931553739cda16945 file:/home/preston/preston-dataone/data/e5/5c/e55c1034d985740926564e94decd6dc7a70f779a33e7deb931553739cda16945 OK CONTENT_PRESENT_VALID_HASH 21580\nhash://sha256/d0ddcc2111b6134a570bcc7d89375920ef4d754130cecc0727c79d2b05a9f81f file:/home/preston/preston-dataone/data/d0/dd/d0ddcc2111b6134a570bcc7d89375920ef4d754130cecc0727c79d2b05a9f81f OK CONTENT_PRESENT_VALID_HASH 2035\nhash://sha256/472de9d1c9fd7e044aac409abfbfff9f12c6b69359df995d431009580ffb0f53 file:/home/preston/preston-dataone/data/47/2d/472de9d1c9fd7e044aac409abfbfff9f12c6b69359df995d431009580ffb0f53 OK CONTENT_PRESENT_VALID_HASH 1935\nhash://sha256/b29879462cd43862129c5cf9b149c41ecd33ffef284a4dbea4ac1c0f90108687 file:/home/preston/preston-dataone/data/b2/98/b29879462cd43862129c5cf9b149c41ecd33ffef284a4dbea4ac1c0f90108687 OK CONTENT_PRESENT_VALID_HASH 1553<\/p>\n\nNote that a copy of the java program "preston", preston.jar, is included in this publication. The program runs on java 8+ virtual machine using "java -jar preston.jar", or in short "preston". <\/p>\n\nFiles in this data publication:<\/p>\n\nREADME - this file<\/p>\n\npreston.jar - executable java jar containing preston[2] v0.1.1.<\/p>\n\npreston-[00-ff].tar.gz - preston archives containing DataONE meta-data files, their provenance and a provenance index.<\/p>\n\n2a5de79372318317a382ea9a2cef069780b852b01210ef59e06b640a3539cb5a - preston index file\n2aecaf289def0e23a27058bf7715f226ef9189905f0be13228174825633125cf - preston index file\n3d38b70198e448674be6a63d14b9817f3a956f48bba7418fa7baa086a56c05b7 - preston index file\n66ad3e5e904740f1e835ac6718dda4279e0c24b204ea0d1113cda1352a5072ba - preston index file\n8bf062872ce958545d361e9d53a552ffb025ac29ab875caad1157c0995d34f66 - preston index file\nd9378616636be3686bbabd5bf29d50f0ef0e5ceb5ddd7dfce47f7e755b596b7d - preston index file\nda26fa6e7371385ed3f61af9a766221c833060d59dfd4869bbd7110f95f288db - preston index file\ne4103a75627857de3ee2e317429108611c244fc448c01d1d7bf652115c3b8a55 - preston index file\neb368fedb8f100210dd968edcf80f4d13cab3dd64135a6ab744102cf15e68c94 - preston index file\nff92b6c06ae5286bd2f1db679e0fcc4da294acb9bc01b2e9522378d99218c2e3 - preston index file<\/p>\n\n[1] DataONE, https://www.dataone.org\n[2] https://preston.guoda.bio, https://doi.org/10.5281/zenodo.1410543 . DataONE was crawled via Preston with "preston update -u https://dataone.org".<\/p>\n\nThis work is funded in part by grant NSF OAC 1839201 from the National Science Foundation<\/p>"]}more » « less
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{"Abstract":["Data files were used in support of the research paper titled "\u201cExperimentation Framework for Wireless\nCommunication Systems under Jamming Scenarios" which has been submitted to the IET Cyber-Physical Systems: Theory & Applications journal. <\/p>\n\nAuthors: Marko Jacovic, Michael J. Liston, Vasil Pano, Geoffrey Mainland, Kapil R. Dandekar\nContact: krd26@drexel.edu<\/p>\n\n---------------------------------------------------------------------------------------------<\/p>\n\nTop-level directories correspond to the case studies discussed in the paper. Each includes the sub-directories: logs, parsers, rayTracingEmulation, results. <\/p>\n\n--------------------------------<\/p>\n\nlogs: - data logs collected from devices under test\n - 'defenseInfrastucture' contains console output from a WARP 802.11 reference design network. Filename structure follows '*x*dB_*y*.txt' in which *x* is the reactive jamming power level and *y* is the jaming duration in samples (100k samples = 1 ms). 'noJammer.txt' does not include the jammer and is a base-line case. 'outMedian.txt' contains the median statistics for log files collected prior to the inclusion of the calculation in the processing script. \n - 'uavCommunication' contains MGEN logs at each receiver for cases using omni-directional and RALA antennas with a 10 dB constant jammer and without the jammer. Omni-directional folder contains multiple repeated experiments to provide reliable results during each calculation window. RALA directories use s*N* folders in which *N* represents each antenna state. \n - 'vehicularTechnologies' contains MGEN logs at the car receiver for different scenarios. 'rxNj_5rep.drc' does not consider jammers present, 'rx33J_5rep.drc' introduces the periodic jammer, in 'rx33jSched_5rep.drc' the device under test uses time scheduling around the periodic jammer, in 'rx33JSchedRandom_5rep.drc' the same modified time schedule is used with a random jammer. <\/p>\n\n--------------------------------<\/p>\n\nparsers: - scripts used to collect or process the log files used in the study\n - 'defenseInfrastructure' contains the 'xputFiveNodes.py' script which is used to control and log the throughput of a 5-node WARP 802.11 reference design network. Log files are manually inspected to generate results (end of log file provides a summary). \n - 'uavCommunication' contains a 'readMe.txt' file which describes the parsing of the MGEN logs using TRPR. TRPR must be installed to run the scripts and directory locations must be updated. \n - 'vehicularTechnologies' contains the 'mgenParser.py' script and supporting 'bfb.json' configuration file which also require TRPR to be installed and directories to be updated. <\/p>\n\n--------------------------------<\/p>\n\nrayTracingEmulation: - 'wirelessInsiteImages': images of model used in Wireless Insite\n - 'channelSummary.pdf': summary of channel statistics from ray-tracing study\n - 'rawScenario': scenario files resulting from code base directly from ray-tracing output based on configuration defined by '*WI.json' file \n - 'processedScenario': pre-processed scenario file to be used by DYSE channel emulator based on configuration defined by '*DYSE.json' file, applies fixed attenuation measured externally by spectrum analyzer and additional transmit power per node if desired\n - DYSE scenario file format: time stamp (milli seconds), receiver ID, transmitter ID, main path gain (dB), main path phase (radians), main path delay (micro seconds), Doppler shift (Hz), multipath 1 gain (dB), multipath 1 phase (radians), multipath 1 delay relative to main path delay (micro seconds), multipath 2 gain (dB), multipath 2 phase (radians), multipath 2 delay relative to main path delay (micro seconds)\n - 'nodeMapping.txt': mapping of Wireless Insite transceivers to DYSE channel emulator physical connections required\n - 'uavCommunication' directory additionally includes 'antennaPattern' which contains the RALA pattern data for the omni-directional mode ('omni.csv') and directional state ('90.csv')<\/p>\n\n--------------------------------<\/p>\n\nresults: - contains performance results used in paper based on parsing of aforementioned log files\n <\/p>"]}more » « less
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