cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7996328
title: Sapling leaf and root traits from 6.6 km Jianfengling transect

description: These data were collected during the summer of 2017 in Jianfengling, Hainan Island, China. Juvenile tropical trees were sampled for leaves and root systems. Leaves and root systems were scanned, dried and weighed, and morphological traits were quantified with WinFolia (for leaves) and WinRhizo (for roots). About 1 kg of surface soil was collected from the area where root systems were excavated and collected. The soil samples (300 in total) were sieved and sent for laboratory analysis by the Guangzhou Xinhua Agricultural Limited Company in Guangzhou, China. <br>Plant functional trait and abiotiic soil chemistry data are provided in three separate files, one for leaf traits (CHINAROOTS_Leaf Traits.csv), one for root traits (CHINAROOTS_Root Traits.csv) and one including soils data (soil300.csv). Please see: Figshare_metadata.txt for complete variables descriptions for each datafile. <br>see www.experiment.com/chinaroots for a greater description of this research project. Address correspondence regarding these data to J. Aaron Hogan (jamesaaronhogan at gmail dot com). <br><br>This dataset is related to our article published in Annals of Forest Science (2020):<br>Hogan, J.A., Valverde-Barrantes, O.J., Ding, Q. et al. Morphological variation of fine root systems and leaves in primary and secondary tropical forests of Hainan Island, China. Annals of Forest Science 77, 79 (2020).<br><br>
DOI: 10.6084/m9.figshare.7996328.v3
title: Sapling leaf and root traits from 6.6 km Jianfengling transect

description: These data were collected during the summer of 2017 in Jianfengling, Hainan Island, China. Juvenile tropical trees were sampled for leaves and root systems. Leaves and root systems were scanned, dried and weighed, and morphological traits were quantified with WinFolia (for leaves) and WinRhizo (for roots). About 1 kg of surface soil was collected from the area where root systems were excavated and collected. The soil samples (300 in total) were sieved and sent for laboratory analysis by the Guangzhou Xinhua Agricultural Limited Company in Guangzhou, China. <br>Plant functional trait and abiotiic soil chemistry data are provided in three separate files, one for leaf traits (CHINAROOTS_Leaf Traits.csv), one for root traits (CHINAROOTS_Root Traits.csv) and one including soils data (soil300.csv). Please see: Figshare_metadata.txt for complete variables descriptions for each datafile. <br>see www.experiment.com/chinaroots for a greater description of this research project. Address correspondence regarding these data to J. Aaron Hogan (jamesaaronhogan at gmail dot com). <br><br>This dataset is related to our article published in Annals of Forest Science (2020):<br>Hogan, J.A., Valverde-Barrantes, O.J., Ding, Q. et al. Morphological variation of fine root systems and leaves in primary and secondary tropical forests of Hainan Island, China. Annals of Forest Science 77, 79 (2020).<br><br>
DOI: 10.5281/zenodo.2652487
title: Linux Kernel 4.21 Call Graphs

description: This is the<strong> Linux Kernel 4.21 Call Graphs</strong> created using CScout containing the following graphs: File include graph (fgraph_I.txt) Compile Time Dependency Graph (fgraph_C.txt) Control Dependency Graph (through function calls) (fgraph_F_D.txt) Data Dependency Graph (through global variables) (fgraph_G.txt) Function and Macro Call Graph (cgraph.txt) Files are of the form foo.c boo.c which indicate a directed edge foo.c -&gt; boo.c. The call graphs refer to <strong>all </strong>(ending with _all.txt) files or only the <strong>writable files.</strong> These graphs were produced by processing the Linux Kernel Codebase consisting of 20.3 million lines of source code. The results were produced on an Intel(R) Xeon(R) CPU E5-1410 0 @ 2.80GHz server with 64GB of RAM. <strong>References: </strong> 1. Papachristou, Marios. "Software clusterings with vector semantics and the call graph." <em>Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering</em>. 2019.
DOI: 10.5281/zenodo.2652486
title: Linux Kernel 4.21 Call Graphs

description: This is the<strong> Linux Kernel 4.21 Call Graphs</strong> created using CScout containing the following graphs: File include graph (fgraph_I.txt) Compile Time Dependency Graph (fgraph_C.txt) Control Dependency Graph (through function calls) (fgraph_F_D.txt) Data Dependency Graph (through global variables) (fgraph_G.txt) Function and Macro Call Graph (cgraph.txt) Files are of the form foo.c boo.c which indicate a directed edge foo.c -&gt; boo.c. The call graphs refer to <strong>all </strong>(ending with _all.txt) files or only the <strong>writable files.</strong> These graphs were produced by processing the Linux Kernel Codebase consisting of 20.3 million lines of source code. The results were produced on an Intel(R) Xeon(R) CPU E5-1410 0 @ 2.80GHz server with 64GB of RAM. <strong>References: </strong> 1. Papachristou, Marios. "Software clusterings with vector semantics and the call graph." <em>Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering</em>. 2019.
DOI: 10.5519/qd.1i2xi8io
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.bncio1l2
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5517/ccdc.csd.cc222yx1
title: CCDC 1909473: Experimental Crystal Structure Determination

description: Related Article: Guorui Cao, Xiang Liu, Long Wang, Yanshun Li, Dawei Teng|2020|Tetrahedron|76|131568|doi:10.1016/j.tet.2020.131568
DOI: 10.5517/ccdc.csd.cc22htr5
title: CCDC 1921837: Experimental Crystal Structure Determination

description: Related Article: Tao Wen|2019|CSD Communication|||
description: Related Article: Wentao Yu, Han Zhang, Ping-An Yin, Fan Zhou, Zhiming Wang, Wanqing Wu, Qian Peng, Huanfeng Jiang, Ben Zhong Tang|2020|iScience|23|101587|doi:10.1016/j.isci.2020.101587
DOI: 10.5517/ccdc.csd.cc22htv8
title: CCDC 1921840: Experimental Crystal Structure Determination

description: Related Article: Wentao Yu, Han Zhang, Ping-An Yin, Fan Zhou, Zhiming Wang, Wanqing Wu, Qian Peng, Huanfeng Jiang, Ben Zhong Tang|2020|iScience|23|101587|doi:10.1016/j.isci.2020.101587
description: Related Article: Tao Wen|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc22hv1h
title: CCDC 1921846: Experimental Crystal Structure Determination

description: Related Article: Wentao Yu, Han Zhang, Ping-An Yin, Fan Zhou, Zhiming Wang, Wanqing Wu, Qian Peng, Huanfeng Jiang, Ben Zhong Tang|2020|iScience|23|101587|doi:10.1016/j.isci.2020.101587
description: Related Article: Tao Wen|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc252g1s
title: CCDC 1998354: Experimental Crystal Structure Determination

description: Related Article: Nicolas I. Regenauer, Sven Jänner, Hubert Wadepohl, Dragoş-Adrian Roşca|2020|Angew.Chem.,Int.Ed.|59|19320|doi:10.1002/anie.202005865
DOI: 10.5517/ccdc.csd.cc252g2t
title: CCDC 1998355: Experimental Crystal Structure Determination

description: Related Article: Nicolas I. Regenauer, Sven Jänner, Hubert Wadepohl, Dragoş-Adrian Roşca|2020|Angew.Chem.,Int.Ed.|59|19320|doi:10.1002/anie.202005865
DOI: 10.5517/ccdc.csd.cc242d3r
title: CCDC 1968503: Experimental Crystal Structure Determination

description: Related Article: Nicolas I. Regenauer, Sven Jänner, Hubert Wadepohl, Dragoş-Adrian Roşca|2020|Angew.Chem.,Int.Ed.|59|19320|doi:10.1002/anie.202005865
DOI: 10.5517/ccdc.csd.cc252g3v
title: CCDC 1998356: Experimental Crystal Structure Determination

description: Related Article: Nicolas I. Regenauer, Sven Jänner, Hubert Wadepohl, Dragoş-Adrian Roşca|2020|Angew.Chem.,Int.Ed.|59|19320|doi:10.1002/anie.202005865
DOI: 10.5281/zenodo.4082020
title: Test Assets for ckanext-mongodatastore (Reinhart&Rogoff Experiment)

description: This is a collection of digital assets, that are required for the evaluation of the CKAN plugin 'ckanext-mongodatastore'. The assets are based on the data provided by the publication 'Does High Public Debt Consistently Stifle Economic Growth? A Critique of Reinhart and Rogoff'
DOI: 10.5281/zenodo.4058408
title: Test Assets for ckanext-mongodatastore (Reinhart&Rogoff Experiment)

description: This is a collection of digital assets, that are required for the evaluation of the CKAN plugin 'ckanext-mongodatastore'. The assets are based on the data provided by the publication 'Does High Public Debt Consistently Stifle Economic Growth? A Critique of Reinhart and Rogoff'
DOI: 10.6084/m9.figshare.12451580.v1
title: Nakajima (t* data)

description: date (yymmddhhmmss), latitude, longitude, depth (km), magnitude, number of stationsstation name, t* values, weight, P(1) or S(2) waves
DOI: 10.6084/m9.figshare.12451580
title: Nakajima (t* data)

description: date (yymmddhhmmss), latitude, longitude, depth (km), magnitude, number of stationsstation name, t* values, weight, P(1) or S(2) waves
DOI: 10.6084/m9.figshare.13040591
title: Appendices - Yeast proteome profiling study

description: Appendix 1. List of primers sets used for amplification of sequences from yeast genomic DNA and further Gibson assembly of overexpression plasmids.Appendix 2. MS data set of identified proteins.Appendix 3. Table and heatmap showing protein expression changes per strain.
DOI: 10.6084/m9.figshare.13082480
title: Genome of the four-finger threadfin Eleutheronema tetradactylum (Perciforms: Polynemidae)

description: Teleost fish play important roles in aquatic ecosystems and aquaculture. Here, we sequenced and assembled the genome of the first threadfin fish, the fourfinger threadfin <i>Eleutheronema tetradactylum</i> (Perciformes: Polynemidae). Threadfins show a range of interesting biology, and are of considerable importance in both wild fisheries and aquaculture. Additionally, <i>E. tetradactylum </i>is of conservation relevance since its populations are considered to be in rapid decline and it is currently classified as endangered. We provide a genome assembly for <i>E. tetradactylum </i>with high contiguity (scaffold N50 = 56.3 kb) and high BUSCO completeness at 96.5%. The assembled genome size of <i>E. tetradactylum </i>is just 610.5 Mb, making it the second smallest perciform genome assembled to date, and only ~9.68% of the sequence was found to consist of repetitive elements, making this the lowest repeat content identified to date for any perciform fish. A total of 37,683 protein-coding genes were annotated, including analyses of developmental transcription factors, including Hox, ParaHox, and Sox families. MicroRNA genes were also annotated and compared with other chordate lineages, elucidating the gains and losses of chordate microRNAs. Our findings provide a useful genomic resource for future research into the interesting biology and evolution of this important group food fish.
DOI: 10.6084/m9.figshare.13082486.v1
title: DNAme_Retina.RData

description: R data for retinal biomarker
DOI: 10.25345/c50j35
title: MassIVE MSV000086274 - Identification by Matrix-Assisted Laser Desorption Time of Flight Mass Spectrometry of Bacteria Cultured from the Microbiome of Maize
title: n this study, we optimized a bioinformatics pipeline to dereplicate bacteria isolated from the rhizosphere and endosphere of maize based on cluster analysis of protein spectra generated by MALDI-TOF. Readily-culturable bacteria were isolated from two varieties of maize (Zea mays): an agronomically important hybrid and a heritage. Isolates were sorted, following multiple iterations of alignment attempts, into clusters based on similarity of protein spectra generated by MALDI-TOF.
DOI: 10.6084/m9.figshare.13082486
title: DNAme_Retina.RData

description: R data for retinal biomarker
DOI: 10.6084/m9.figshare.13082522
title: JVASP-144567 to JVASP-19989 (Negative bias)

description: JARVIS-DFT
DOI: 10.5517/ccdc.csd.cc2597vl
title: CCDC 2004889: Experimental Crystal Structure Determination

description: Related Article: Linda Supe, Martin Hein, Viktor O. Iaroshenko, Alexander Villinger, Peter Langer|2020|Tetrahedron|76|131522|doi:10.1016/j.tet.2020.131522
DOI: 10.5517/ccdc.csd.cc2597wm
title: CCDC 2004890: Experimental Crystal Structure Determination

description: Related Article: Linda Supe, Martin Hein, Viktor O. Iaroshenko, Alexander Villinger, Peter Langer|2020|Tetrahedron|76|131522|doi:10.1016/j.tet.2020.131522
DOI: 10.5517/ccdc.csd.cc2597xn
title: CCDC 2004891: Experimental Crystal Structure Determination

description: Related Article: Linda Supe, Martin Hein, Viktor O. Iaroshenko, Alexander Villinger, Peter Langer|2020|Tetrahedron|76|131522|doi:10.1016/j.tet.2020.131522
DOI: 10.5517/ccdc.csd.cc2597yp
title: CCDC 2004892: Experimental Crystal Structure Determination

description: Related Article: Linda Supe, Martin Hein, Viktor O. Iaroshenko, Alexander Villinger, Peter Langer|2020|Tetrahedron|76|131522|doi:10.1016/j.tet.2020.131522
DOI: 10.5517/ccdc.csd.cc2597zq
title: CCDC 2004893: Experimental Crystal Structure Determination

description: Related Article: Linda Supe, Martin Hein, Viktor O. Iaroshenko, Alexander Villinger, Peter Langer|2020|Tetrahedron|76|131522|doi:10.1016/j.tet.2020.131522
DOI: 10.5517/ccdc.csd.cc25f852
title: CCDC 2008743: Experimental Crystal Structure Determination

description: Related Article: Yuehai Shen|2020|CSD Communication|||
description: Related Article: Huan Yan, Zhongxian Liu, Kai Tan, Kai Tan, Ruigeng Ji, Yingxin Ye, Tingbing Yan, Yuehai Shen|2020|Tetrahedron Lett.|61|152450|doi:10.1016/j.tetlet.2020.152450
DOI: 10.5517/ccdc.csd.cc25g6nj
title: CCDC 2009657: Experimental Crystal Structure Determination

description: Related Article: Florian F. Mulks, Leonie J. Bole, Laia Davin, Alberto Hernán-Gómez, Alan Kennedy, Joaquín García-Álvarez, Eva Hevia|2020|Angew.Chem.,Int.Ed.|59|19021|doi:10.1002/anie.202008512
DOI: 10.5517/ccdc.csd.cc25gyqb
title: CCDC 2010372: Experimental Crystal Structure Determination

description: Related Article: Alexander Hinz|2020|Angew.Chem.,Int.Ed.|59|19065|doi:10.1002/anie.202009874
DOI: 10.5517/ccdc.csd.cc25gyrc
title: CCDC 2010373: Experimental Crystal Structure Determination

description: Related Article: Alexander Hinz|2020|Angew.Chem.,Int.Ed.|59|19065|doi:10.1002/anie.202009874
DOI: 10.5517/ccdc.csd.cc25gysd
title: CCDC 2010374: Experimental Crystal Structure Determination

description: Related Article: Alexander Hinz|2020|Angew.Chem.,Int.Ed.|59|19065|doi:10.1002/anie.202009874
DOI: 10.5517/ccdc.csd.cc25gytf
title: CCDC 2010375: Experimental Crystal Structure Determination

description: Related Article: Alexander Hinz|2020|Angew.Chem.,Int.Ed.|59|19065|doi:10.1002/anie.202009874
DOI: 10.5517/ccdc.csd.cc25gyvg
title: CCDC 2010376: Experimental Crystal Structure Determination

description: Related Article: Alexander Hinz|2020|Angew.Chem.,Int.Ed.|59|19065|doi:10.1002/anie.202009874
DOI: 10.5517/ccdc.csd.cc25gywh
title: CCDC 2010377: Experimental Crystal Structure Determination

description: Related Article: Alexander Hinz|2020|Angew.Chem.,Int.Ed.|59|19065|doi:10.1002/anie.202009874
DOI: 10.5517/ccdc.csd.cc25gyxj
title: CCDC 2010378: Experimental Crystal Structure Determination

description: Related Article: Alexander Hinz|2020|Angew.Chem.,Int.Ed.|59|19065|doi:10.1002/anie.202009874
DOI: 10.5517/ccdc.csd.cc25gyyk
title: CCDC 2010379: Experimental Crystal Structure Determination

description: Related Article: Alexander Hinz|2020|Angew.Chem.,Int.Ed.|59|19065|doi:10.1002/anie.202009874
DOI: 10.6084/m9.figshare.12743687.v1
title: Balancing Selection Maintains Ancient Polymorphisms at Conserved Enhancers for the Olfactory Receptor Genes of a Marine Fish

description: These files consist of supplementary figs. S8-S12 and supplementary tables S5, S10, S19, S21, and S23.<br>
DOI: 10.6084/m9.figshare.13082501
title: Landform classification of part of the Strzelecki Desert

description: Random forest classification of landforms (dunes, swales, claypans/salt-lakes) of part of the Strzelecki Desert, from Landsat fractional cover time series (1987-2020) statistics.<br>
DOI: 10.6084/m9.figshare.13082501.v1
title: Landform classification of part of the Strzelecki Desert

description: Random forest classification of landforms (dunes, swales, claypans/salt-lakes) of part of the Strzelecki Desert, from Landsat fractional cover time series (1987-2020) statistics.<br>
DOI: 10.6084/m9.figshare.13082528
title: JVASP-19991 to JVASP-20054 (Negative bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13082528.v1
title: JVASP-19991 to JVASP-20054 (Negative bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13082540.v1
title: Landsat fractional cover time series (1987-2020) statistics

description: An 8 band image of Landsat fractional cover time series (1987-2020) statistics:Band 1 - mean of photosynthetic vegetation (PV_mean)Band 2 - standard deviation of photosynthetic vegetation (PV_std)Band 3 - minimum of photosynthetic vegetation (PV_min)Band 4 - maximum of photosynthetic vegetation (PV_max)Band 5 - mean of non-photosynthetic vegetation (NPV_mean)Band 6 - standard deviation of non-photosynthetic vegetation (NPV_std)Band 7 - minimum of non-photosynthetic vegetation (NPV_min)Band 8 - maximum of non-photosynthetic vegetation (NPV_max)<br><br>
DOI: 10.6084/m9.figshare.13082540
title: Landsat fractional cover time series (1987-2020) statistics

description: An 8 band image of Landsat fractional cover time series (1987-2020) statistics:Band 1 - mean of photosynthetic vegetation (PV_mean)Band 2 - standard deviation of photosynthetic vegetation (PV_std)Band 3 - minimum of photosynthetic vegetation (PV_min)Band 4 - maximum of photosynthetic vegetation (PV_max)Band 5 - mean of non-photosynthetic vegetation (NPV_mean)Band 6 - standard deviation of non-photosynthetic vegetation (NPV_std)Band 7 - minimum of non-photosynthetic vegetation (NPV_min)Band 8 - maximum of non-photosynthetic vegetation (NPV_max)<br><br>
DOI: 10.26180/5ceb41e023365
title: The Talking Board

description: For ensemble and electronics. Composed with Lindsay Vickery.<br>The Talking Board explores the idea of presenting notation to performers in a The score for this work projected for the performers to read. Each player has their own “planchette” a coloured circle enclosing the materials that they must perform. The four planchettes independent traverse the graphically notated score creating a progression of material for the performer’s to realise.The score itself is a 4 by 5 rectangle of images created and collected by Cat Hope and Lindsay Vickery, assembled in using the surrealist “exquisite corpse” technique (each person can only see fragments of the other’s images until they are all assembled).The term Talking Board is a generic name for the Ouija board a game invented by Hasbro Ltd that rapidly grew in the early 20th century into a favoured medium for supposedly contacting the dead. In our version the only “ghosts” are (hopefully) in the machine.<br><br>
DOI: 10.6084/m9.figshare.13082555.v1
title: Vegetation measurements from inside/outside kangaroo exclosures

description: CSV file containing percent cover of different categories for several different sites in the Strzelecki Desert.<br>
DOI: 10.6084/m9.figshare.13082555
title: Vegetation measurements from inside/outside kangaroo exclosures

description: CSV file containing percent cover of different categories for several different sites in the Strzelecki Desert.<br>
DOI: 10.6084/m9.figshare.13082567
title: Rainfall time series for the Strzelecki Desert

description: Monthly rainfall from 2007 to 2016 was collated by accessing the Australian Bureau of Meteorology online climate database (www.bom.gov.au). Rainfall data for Sturt National Park was gathered with priority from Fort Grey (station number: 46006), although rainfall data was insufficient and primarily gathered from Cameron’s Corner (station number: 45063). Rainfall data for Strzelecki Regional Reserve was primarily gathered from Lindon Station (station number: 17115) and missing data was supplemented from Cameron’s Corner (station number: 45063).
DOI: 10.17632/tvb4snbw78.1
title: Data for: Fluid and Mass Transfer along Transient Subduction Interfaces in a Deep Paleo-Accretionary Wedge (W. Alps)

description: Trace element analyses for metasedimentary rocks from the Western Alps
DOI: 10.17632/nmpps2cz2r.1
title: Data for: Carboniferous-Permian transgression/regression mechanisms in the Eastern Ordos Basin and their sea-level spatiotemporal variability: Insights from source-to-sink systems

description: Detrital zircon U–Pt data
DOI: 10.6084/m9.figshare.13082570
title: Spotlight fauna abundance for the Strzelecki Desert

description: Dingo and kangaroo abundance at sites in the Strzelecki Desert, expressed as mean numbers of animals sighted per km<sup>2</sup>.
DOI: 10.6084/m9.figshare.13082570.v1
title: Spotlight fauna abundance for the Strzelecki Desert

description: Dingo and kangaroo abundance at sites in the Strzelecki Desert, expressed as mean numbers of animals sighted per km<sup>2</sup>.
DOI: 10.6084/m9.figshare.13082576
title: Landsat seasonal fractional cover time series from swale transect points in the Strzelecki Desert

description: Landsat seasonal fractional cover time series (1988-2020) from swale transect points in the Strzelecki Desert.<br>
DOI: 10.6084/m9.figshare.13082576.v1
title: Landsat seasonal fractional cover time series from swale transect points in the Strzelecki Desert

description: Landsat seasonal fractional cover time series (1988-2020) from swale transect points in the Strzelecki Desert.<br>
DOI: 10.6084/m9.figshare.13082546
title: JVASP-27853 to JVASP-27928 (Negative bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13082546.v1
title: JVASP-27853 to JVASP-27928 (Negative bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13082543
title: JVASP-27724 to JVASP-27851 (Negative bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13082543.v1
title: JVASP-27724 to JVASP-27851 (Negative bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13079627
title: R0184_20170819a_videos

description: Rat 0184, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13082591.v1
title: JVASP-28280 to JVASP-31420 (Negative bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13082591
title: JVASP-28280 to JVASP-31420 (Negative bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13082588
title: JVASP-28095 to JVASP-28277(Negative bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13082588.v1
title: JVASP-28095 to JVASP-28277(Negative bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13082585.v1
title: JVASP-27940 to JVASP-28093 (Negative bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13082585
title: JVASP-27940 to JVASP-28093 (Negative bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13082600
title: R0184_20170821a_videos

description: Rat 0184, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13082600.v1
title: R0184_20170821a_videos

description: Rat 0184, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13079627.v1
title: R0184_20170819a_videos

description: Rat 0184, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.21227/yxvp-xc68
title: DeepWiPHY: Synthetic and real-world IEEE 802.11ax OFDM symbol dataset

description: This dataset is associated with the paper entitled "DeepWiPHY: Deep Learning-Based IEEE 802.11ax Receiver". It has synthetic and real-word IEEE 802.11ax OFDM symbols. The synthetic dataset has around 110 million OFDM symbols and the real-world dataset has more than 14 million OFDM symbols. Our comprehensive synthetic dataset has specifically considered typical indoor channel models and RF impairments. The real-world dataset was collected under a wide range of signal-to-noise ratio (SNR) levels and at various locations in a large office. To create this real-world dataset, we built a passive sniffing-based data collection testbed with a commercial AP, a Samsung mobile phone and two USRPs.