cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.30404
title: Lu_Example_Float#Cpus:2#Gpus:0.11.Paje.Trace

description: File: lu_example_float#CPUs:2#GPUs:0.11.paje.trace
DOI: 10.5281/zenodo.30405
title: Lu_Example_Float#Cpus:6#Gpus:0.5.Paje.Trace

description: File: lu_example_float#CPUs:6#GPUs:0.5.paje.trace
DOI: 10.5281/zenodo.30406
title: Lu_Example_Float#Cpus:0#Gpus:0.6.Paje.Trace

description: File: lu_example_float#CPUs:0#GPUs:0.6.paje.trace
DOI: 10.5281/zenodo.30407
title: Lu_Example_Float#Cpus:1#Gpus:0.1.Paje.Trace

description: File: lu_example_float#CPUs:1#GPUs:0.1.paje.trace
DOI: 10.5281/zenodo.44245
title: Nicaragua Occupancy Modeling

description: The data and code provided here were used to produce the results contained in Jordan <em>et al</em>. (2016), submitted to PLOS ONE in August 2015.
DOI: 10.5281/zenodo.46240
title: Iucn Red List Of Threatened Species

description: The IUCN Red List of Threatened Species™ is widely recognized as the most comprehensive, objective global approach for evaluating the conservation status of plant and animal species. From its small beginning, the IUCN Red List has grown in size and complexity and now plays an increasingly prominent role in guiding conservation activities of governments, NGOs and scientific institutions. The introduction in 1994 of a scientifically rigorous approach to determine risks of extinction that is applicable to all species, has become a world standard. In order to produce the IUCN Red List of Threatened Species™, the IUCN Species Programme working with the IUCN Survival Commission (SSC) and with members of IUCN draws on and mobilizes a network of scientists and partner organizations working in almost every country in the world, who collectively hold what is likely the most complete scientific knowledge base on the biology and conservation status of species.
description: Snapshot of version on GBIF website 2016-02-18
DOI: 10.5281/zenodo.46380
title: Moca: An Efficient Memory Trace Collection System,  Experiments Results Analysis

description: Every files required to replay the statistic analysis of the experiments presented in the artice: "Moca: An efficient Memory trace collection system" submitted at PMBS'16
DOI: 10.5281/zenodo.46426
title: Dataset For "Economic Irrationality Is Optimal During Noisy Decision Making"

description: 1. Excel Files


	“experiment*.xlsx” files contain raw data. In ‘Notes’ an explanation of the relevant variables is offered
	“Parameters.xlsx” file contains the best-fitting parameters of the selective integration model (the version that omits early noise). Each tab corresponds to a different experiment.


 

2. Matlab files

 

Matlab files in the ‘code’ file allow one to reproduce simulation results in fig1b, fig3b and fig3d. The ‘selective_sim.m’ file offers a basic simulation of the selective integration model. 

 

 

For questions and further requests please contact Konstantinos Tsetsos: k.tsetsos62@gmail.com
DOI: 10.5281/zenodo.56833
title: Sound Ontology For The Paper “An Approach For Structuring Sound Sample Libraries Using Ontology”

description: This is a supplementary material for a paper titled “An approach for structuring sound sample libraries using ontology” submitted to the Knowledge Engineering and Semantic Web conference (2016). http://2016.kesw.ru/
DOI: 10.5281/zenodo.56968
title: Moma Collection - Automatic Monthly Update

description: Temporary Description
DOI: 10.5281/zenodo.57015
title: Austrian Science Fund (Fwf) Funding Statistics 2009-2015

description: Compilation of funding statistics from FWF's annual reports as longitudinal data from 2009-2015.
description: German version: Reimann, Ralph. (2016). FWF-Förderungsstatistiken 2009-2015. Zenodo. 10.5281/zenodo.56536
DOI: 10.5281/zenodo.57061
title: Seltmann Et Al. 2016

description: R Script and underlying data for the GLMM we used in the Paper "Recruitment and monitoring behaviors by leaders predict following in wild Barbary macaques (<em>Macaca sylvanus</em>)", Seltmann et al. 2016 Primate Biology.
DOI: 10.5281/zenodo.16863
title: Bionames - Version 2015-04-15

description: Darwin Core Archive of the BioNames database http://bionames.org (Page, 2013) at 15 April 2015. The data comprise two tables in tab-delimited format, one listing scientific names, the other bibliographic information for the references that published those names. The file meta.xml described the data columns.
description: {"references": ["Page, R. D. M. (2013). BioNames: linking taxonomy, texts, and trees. PeerJ. PeerJ. http://doi.org/10.7717/peerj.190"]}
DOI: 10.5281/zenodo.16875
title: Dataset Of Paper: Supervised And Dynamic Neuro-Fuzzy Systems To Classify Physiological Responses In Robot-Assisted Neurorehabilitation (Plos One)

description: The data set contains number of user, user's physiological signals (Pulse, SCL, SCR, Respiration rate, Skin temperature), Label, Difficulty level from relax to stress. Label is codified from 1 to 5 corresponding to the Difficulty level.
DOI: 10.5281/zenodo.16914
title: Model, Data, And Analysis For Negative Niche Construction Favors The Evolution Of Cooperation

description: This repository contains the model, data, and analysis corresponding to <em>Negative Niche Construction Favors the Evolution of Cooperation</em> as submitted for review by Brian D. Connelly, Katherine J. Dickinson, Sarah P. Hammarlund, and Benjamin Kerr. Contents are released to the public domain under the Creative Commons CC0 License.
DOI: 10.5281/zenodo.30408
title: Lu_Example_Float#Cpus:11#Gpus:0.1.Paje.Trace

description: File: lu_example_float#CPUs:11#GPUs:0.1.paje.trace
DOI: 10.5281/zenodo.30409
title: Lu_Example_Float#Cpus:16#Gpus:1.15.Paje.Trace

description: File: lu_example_float#CPUs:16#GPUs:1.15.paje.trace
DOI: 10.5281/zenodo.30410
title: Lu_Example_Float#Cpus:32#Gpus:2.8.Paje.Trace

description: File: lu_example_float#CPUs:32#GPUs:2.8.paje.trace
DOI: 10.5281/zenodo.30411
title: Lu_Example_Float#Cpus:2#Gpus:2.5.Paje.Trace

description: File: lu_example_float#CPUs:2#GPUs:2.5.paje.trace
DOI: 10.5281/zenodo.30412
title: Lu_Example_Float#Cpus:7#Gpus:0.11.Paje.Trace

description: File: lu_example_float#CPUs:7#GPUs:0.11.paje.trace
DOI: 10.5281/zenodo.30413
title: Lu_Example_Float#Cpus:0#Gpus:2.9.Paje.Trace

description: File: lu_example_float#CPUs:0#GPUs:2.9.paje.trace
DOI: 10.5281/zenodo.30414
title: Lu_Example_Float#Cpus:9#Gpus:0.25.Paje.Trace

description: File: lu_example_float#CPUs:9#GPUs:0.25.paje.trace
DOI: 10.5281/zenodo.30415
title: Lu_Example_Float#Cpus:10#Gpus:0.19.Paje.Trace

description: File: lu_example_float#CPUs:10#GPUs:0.19.paje.trace
DOI: 10.5281/zenodo.46525
title: Moca: An Efficient Memory Trace Collection System, Experiments Raw Traces

description: Raw traces generated for by the experiment of  the article "Moca: An efficient Memory trace collection system" submitted at PMBS'16.

Download and extract the raw.tgz archive, then go to the created directory, download and extract all the other archives inside it.

<strong>Warning:</strong> there are about 90 Gib of raw traces
DOI: 10.5281/zenodo.46607
title: Denoising Autoencoders For Phenotype Stratification (Daps) Sample Trained Simulated Patient Data

description: DAPS Trained data
DOI: 10.5281/zenodo.46659
title: Are Smartphones And Fitness Apps Fit For Purpose? An Experimental Study.

description: Data set for treadmill and fitness apps study
DOI: 10.5281/zenodo.57131
title: Aldeghi Et Al.  Files For Absolute Free Energy Calculations In Gromacs.

description: These are the files for performing absolute free energy calculations using gromacs as reported in "Accurate calculation of the absolute free energy of binding for drug molecules. Aldeghi M, Heifetz A, Bodkin MJ, Knapp S, Biggin PC.<br>
Chem Sci. 2016 Jan 14;7(1):207-218. DOI: 10.1039/C5SC02678D"

 

The files should prove useful for anyone wishing to try out their own methodology for comparison purposes or even just to repeat the work on a known dataset.  The data is presented as a zip archive that should unpack into a directory called "Aldeghi-et-al-chemical-science-2016".    There are four sub-directories in there and a README.txt file which should explain the details of the data.
description: 1.  All .xvg files are in their own XVG folder (the example_xvg_files folder in "crystal/ligand1/complex" is not needed/relevant).
2.   In xvg/docking the scripts cp_tmp.sh and stride_all.sh were just used by us locally and are not useful here.
3.  The mixture of "L" or "l" is a "dropbox feature" ! and does not mean anything.
4.  The xvg folder has both the ligand numerical IDS and name as the folder name rather than just the ligand number (Ie "Ligand1_BI2356" rather than just "Ligand1").
description: {"references": ["Accurate calculation of the absolute free energy of binding for drug molecules. Aldeghi M, Heifetz A, Bodkin MJ, Knapp S, Biggin PC.", "Chem Sci. 2016 Jan 14;7(1):207-218."]}
DOI: 10.5281/zenodo.16926
title: Included Abstracts From Systematic Mapping Study Of Age-Related Falls And Ict

description: This file contains all the 1017 papers that were included in the systematic mapping study. The file is in RIS format.It can be easily imported into most popular bibliography software such as Zotero, EndNote and Mendeley.
DOI: 10.5281/zenodo.16958
title: Powertac 2015-04 Qualifying 1-5

description: Log and boot files of games 1 - 5
DOI: 10.5281/zenodo.30416
title: Lu_Example_Float#Cpus:4#Gpus:1.15.Paje.Trace

description: File: lu_example_float#CPUs:4#GPUs:1.15.paje.trace
DOI: 10.5281/zenodo.30417
title: Lu_Example_Float#Cpus:8#Gpus:0.1.Paje.Trace

description: File: lu_example_float#CPUs:8#GPUs:0.1.paje.trace
DOI: 10.5281/zenodo.30418
title: Lu_Example_Float#Cpus:16#Gpus:0.1.Paje.Trace

description: File: lu_example_float#CPUs:16#GPUs:0.1.paje.trace
DOI: 10.5281/zenodo.30419
title: Lu_Example_Float#Cpus:14#Gpus:2.9.Paje.Trace

description: File: lu_example_float#CPUs:14#GPUs:2.9.paje.trace
DOI: 10.5281/zenodo.30420
title: Lu_Example_Float#Cpus:3#Gpus:1.22.Paje.Trace

description: File: lu_example_float#CPUs:3#GPUs:1.22.paje.trace
DOI: 10.5281/zenodo.30421
title: Lu_Example_Float#Cpus:3#Gpus:2.5.Paje.Trace

description: File: lu_example_float#CPUs:3#GPUs:2.5.paje.trace
DOI: 10.5281/zenodo.57210
title: Computational Studies Of Human Class V Alcohol Dehydrogenase - The Odd Sibling

description: A number of class I-VI ADH protein sequences were obtained from the UniProt, NCBI protein database, and Ensembl databases in October 2015. The sequences were aligned using the L-INS-i approach of MAFFT 7.266.

The tree was generated using Phyml release 20151210. In the published figure, the tree was visualised as a radial phylogram in Dendroscope 3.
DOI: 10.5281/zenodo.57260
title: Seltmann Et Al. 2016

description: Dataset and R code of "Recruitment and monitoring behaviors by leaders predict<br>
following in wild Barbary macaques (<em>Macaca sylvanus</em>)"
DOI: 10.5281/zenodo.57264
title: Towards Compliance Checking Between Business Process Models And Lawful States Of Objects

description: Dataset from publication http://ceur-ws.org/Vol-1230/paper-03.pdf
DOI: 10.5281/zenodo.61379
title: Development Of Predictive Models Of The Kinetics Of A Hydrogen Abstraction Reaction Combining Quantum-Mechanical Calculations And Experimental Data

description: The files contain the electronic structure calculations for all the levels of theory tested in this work.
DOI: 10.5281/zenodo.16960
title: Powertac 2015-04 Qualifying 6-10

description: Log and boot files of games 6 - 10
DOI: 10.5281/zenodo.16961
title: Powertac 2015-04 Qualifying 11-15

description: Log and boot files of games 11 - 15
DOI: 10.5281/zenodo.16969
title: Powertac 2015-04 Qualifying 36-40

description: Log and boot files of games 36 - 40
DOI: 10.5281/zenodo.16978
title: Hydrated Dppc, Md Simulation Trajectory And Related Files For Ua Charmm36 Model By Lee Et Al 2014

description: MD simulation files

72 hydrated DPPC  + 2189 water TIP3P 

NPgT

P=1atm, gamma=0, T=323K (liquid crystalline phase)

20 ns equilibration (not here)

50 ns trajectory (dcd file)

Model : Lee S, Tran A, Allsopp M, Lim JB, Hénin J, Klauda JB. CHARMM36 United Atom Chain Model for Lipids and Surfactants. <em>J Phys Chem B</em>. 2014;118(2):547-556. doi:10.1021/jp410344g.

----<br>
* bilayer-72DPPC-c36-AU.psf : NAMD2.10 structure file Obtained with psfgen utility, using

1) topology from Lee et al.  2014

2) positions from J. Klauda.

http://terpconnect.umd.edu/~jbklauda/research/download.html

----

* dppc_c36_AU.equil.2.dcd : trajectory file of 2635 frames every 20 ps.

---<br>
* measure_SCD_heads.tcl : file used to measure order parameters for the head hydrogens using vmd-1.9

---

*namd_input.tar files usefull to launch the simulations using NAMD(2.10).<br>
DOI: 10.5281/zenodo.17004
title: Hydrated Dppc, Md Simulation Trajectory And Related Files For Ua Charmm36 Model By Lee Et Al 2014

description: MD simulation files

72 hydrated DPPC  + 2189 water TIP3P 

NPgT

P=1atm, gamma=0, T=323K (liquid crystalline phase)

20 ns equilibration (not here)

50 ns trajectory (dcd file)

Model : Lee S, Tran A, Allsopp M, Lim JB, Hénin J, Klauda JB. CHARMM36 United Atom Chain Model for Lipids and Surfactants. <em>J Phys Chem B</em>. 2014;118(2):547-556. doi:10.1021/jp410344g.

----<br>
* bilayer-72DPPC-c36-AU.psf : NAMD2.10 structure file Obtained with psfgen utility, using

1) topology from Lee et al.  2014

2) positions from J. Klauda.

http://terpconnect.umd.edu/~jbklauda/research/download.html

----

* dppc_c36_AU.equil.2.dcd : trajectory file of 2635 frames every 20 ps.

---<br>
* measure_SCD_heads.tcl : file used to measure order parameters for the head hydrogens using vmd-1.9

---

*namd_input.tar files usefull to launch the simulations using NAMD(2.10).
DOI: 10.5281/zenodo.17005
title: Powertac 2015-04 Qualifying 41-45

description: Log and boot files of games 41 - 45
DOI: 10.5281/zenodo.17006
title: Powertac 2015-04 Qualifying 46-50

description: Log and boot files of games 46 - 50
DOI: 10.5281/zenodo.30422
title: Lu_Example_Float#Cpus:32#Gpus:2.15.Paje.Trace

description: File: lu_example_float#CPUs:32#GPUs:2.15.paje.trace
DOI: 10.5281/zenodo.30423
title: Lu_Example_Float#Cpus:9#Gpus:2.5.Paje.Trace

description: File: lu_example_float#CPUs:9#GPUs:2.5.paje.trace
DOI: 10.5281/zenodo.30424
title: Lu_Example_Float#Cpus:11#Gpus:1.14.Paje.Trace

description: File: lu_example_float#CPUs:11#GPUs:1.14.paje.trace
DOI: 10.5281/zenodo.30425
title: Lu_Example_Float#Cpus:16#Gpus:0.23.Paje.Trace

description: File: lu_example_float#CPUs:16#GPUs:0.23.paje.trace
DOI: 10.5281/zenodo.30426
title: Lu_Example_Float#Cpus:11#Gpus:2.21.Paje.Trace

description: File: lu_example_float#CPUs:11#GPUs:2.21.paje.trace
DOI: 10.5281/zenodo.30427
title: Lu_Example_Float#Cpus:8#Gpus:0.18.Paje.Trace

description: File: lu_example_float#CPUs:8#GPUs:0.18.paje.trace
DOI: 10.5281/zenodo.30428
title: Lu_Example_Float#Cpus:10#Gpus:2.8.Paje.Trace

description: File: lu_example_float#CPUs:10#GPUs:2.8.paje.trace
DOI: 10.5281/zenodo.30429
title: Lu_Example_Float#Cpus:32#Gpus:1.14.Paje.Trace

description: File: lu_example_float#CPUs:32#GPUs:1.14.paje.trace
DOI: 10.5281/zenodo.30430
title: Lu_Example_Float#Cpus:10#Gpus:1.12.Paje.Trace

description: File: lu_example_float#CPUs:10#GPUs:1.12.paje.trace
DOI: 10.5281/zenodo.46742
title: Example Phenopacket Containing One Disease And Two Associations

description: This is an example of a nascent exchange format "Phenopacket". For more information, see github.com/phenopackets
DOI: 10.5281/zenodo.57401
title: Analisis Tiga Dimensi Longsoran Dangkal Pada Batuan Volkanik Di Daerah Tropis: Penerapan Di Sindangkerta, Kabupaten Bandung

description: This file is the version 1 of Kartiko's dissertation on Dept. of Geology, ITB.
description: I uploaded this document as an assigned reviewer.
DOI: 10.5281/zenodo.57452
title: Sentinel-1A (2014/12/07, Camargue), Ew, Grd, Mr, Vv-Polarized, Descending Orbit, Snap Pre-Processed Data (+ Additional Skyron Reference Wind) For Sarwind Lg-Mod (V4.01)

description: A zipped folder containing pre-processed data from a Sentinel-1 SAR image by using the Sentinel Application Platform (SNAP), ver. 3.0.3, distributed by the European Space Agency (ESA). The reference wind components provided by the Numerical Weather Model (NWM) SKYRON is also added in the folder.

These Earth Observation (EO) data can be used as inputs to the SARWIND LGMod algorithm, ver. 4.01, developed by Rana Fabio Michele (2014-2016), with the aim at retrieving the sea surface wind field by exploiting the single co-polarized Sentinel-1 image available.

In particular, the latter is the Sentinel-1, Extra Wide Swath Mode, Ground Range, Multi-look, Detected, Medium Resolution, Vertical polarisation on transmit, Vertical polarisation on receive, Descending orbit, C-band SAR image, acquired on the 7th Dec 2014, 05:51:54
DOI: 10.5281/zenodo.57453
title: Sarwind Lg-Mod (V4.01) Output Data With Reference To The Sentinel-1A (2014/12/07, Camargue), Ew, Grd, Mr, Vv-Polarized, Descending Orbit, Snap Pre-Processed Data (+ The Additional Skyron Reference Wind)

description: A zipped folder containing SARWIND LG-Mod (v4.01) output data obtained by processing the Sentinel-1A (2014/12/07, Camargue), EW, GRD, MR, VV-polarized, descending orbit, SNAP pre-processed data (+ the additional SKYRON reference wind).

Pre-processed data derived from the Sentinel-1 SAR image have been obtained by using the Sentinel Application Platform (SNAP), ver. 3.0.3, distributed by the European Space Agency (ESA). The reference wind components have been provided by the Numerical Weather Model (NWM) SKYRON.

These Earth Observation (EO) data have been used as inputs to the SARWIND LGMod algorithm, ver. 4.01, developed by Rana Fabio Michele (2014-2016) for the sea surface wind field retrieval.

The available Sentinel-1, Extra Wide Swath Mode, Ground Range, Multi-look, Detected, Medium Resolution, Vertical polarisation on transmit, Vertical polarisation on receive, Descending orbit, C-band SAR image, has been acquired on the 7th Dec 2014, 05:51:54.
DOI: 10.5281/zenodo.57454
title: Sentinel-1A (2014/12/31, Camargue), Ew, Grd, Mr, Vv-Polarized, Descending Orbit, Snap Pre-Processed Data (+ Additional Skyron Reference Wind) For Sarwind Lg-Mod (V4.01)

description: A zipped folder containing pre-processed data from a Sentinel-1 SAR image by using the Sentinel Application Platform (SNAP), ver. 3.0.3, distributed by the European Space Agency (ESA). The reference wind components provided by the Numerical Weather Model (NWM) SKYRON is also added in the folder.

These Earth Observation (EO) data can be used as inputs to the SARWIND LGMod algorithm, ver. 4.01, developed by Rana Fabio Michele (2014-2016), with the aim at retrieving the sea surface wind field by exploiting the single co-polarized Sentinel-1 image available.

In particular, the latter is the Sentinel-1, Extra Wide Swath Mode, Ground Range, Multi-look, Detected, Medium Resolution, Vertical polarisation on transmit, Vertical polarisation on receive, Descending orbit, C-band SAR image, acquired on the 31st Dec 2014, 05:51:53.
DOI: 10.5281/zenodo.57456
title: Sarwind Lg-Mod (V4.01) Output Data With Reference To The Sentinel-1A (2014/12/31, Camargue), Ew, Grd, Mr, Vv-Polarized, Descending Orbit, Snap Pre-Processed Data (+ The Additional Skyron Reference Wind)

description: A zipped folder containing SARWIND LG-Mod (v4.01) output data obtained by processing the Sentinel-1A (2014/12/31, Camargue), EW, GRD, MR, VV-polarized, descending orbit, SNAP pre-processed data (+ the additional SKYRON reference wind).

Pre-processed data derived from the Sentinel-1 SAR image have been obtained by using the Sentinel Application Platform (SNAP), ver. 3.0.3, distributed by the European Space Agency (ESA). The reference wind components have been provided by the Numerical Weather Model (NWM) SKYRON.

These Earth Observation (EO) data have been used as inputs to the SARWIND LGMod algorithm, ver. 4.01, developed by Rana Fabio Michele (2014-2016) for the sea surface wind field retrieval.

The available Sentinel-1, Extra Wide Swath Mode, Ground Range, Multi-look, Detected, Medium Resolution, Vertical polarisation on transmit, Vertical polarisation on receive, Descending orbit, C-band SAR image, has been acquired on the 31st Dec 2014, 05:51:53.
DOI: 10.5281/zenodo.57468
title: Vocal Imitations Of Non-Vocal Sounds

description: Vocal imitations of everyday sounds. There are two families (interactions and products), 10 imitators (I#), 8 categories, and 2 sounds per categories
DOI: 10.5281/zenodo.57508
title: Acute Exercise And Motor Memory Consolidation: The Role Of Exercise Intensity

description: A single bout of high intensity aerobic exercise (~90% VO<sub>2peak</sub>) was previously demonstrated to amplify off-line gains in skill level during the consolidation phase of procedural memory. High intensity exercise is not always a viable option for many patient groups or in a rehabilitation setting where low to moderate intensities may be more suitable. The aim of this study was to investigate the role of intensity in mediating the effects of acute cardiovascular exercise on motor skill learning. A single bout of high intensity aerobic exercise (~90% VO<sub>2peak</sub>) was previously demonstrated to amplify off-line gains in skill level during the consolidation phase of procedural memory. High intensity exercise is not always a viable option for many patient groups or in a rehabilitation setting where low to moderate intensities may be more suitable. The aim of this study was to investigate the role of intensity in mediating the effects of acute cardiovascular exercise on motor skill learning.
DOI: 10.5281/zenodo.57567
title: Subsidence Of Beijing (China) Mapped By Copernicus Sentinel-1 Time Series Interferometry

description: <strong>RESULTS DESCRIPTION</strong>

Recent reports from scientific and mainstream media have indicated that the city of Beijing, together with its surroundings, is subsiding at fast and alarming rate as result of the overexploitation of groundwater. The depletion of groundwater causes underlying soil to compact, creating a phenomenon called subsidence. The Beijing region has been experiencing this phenomenon since 1935, but in last years the rate of sinking has significantly increased.

A team of researchers, within ESA sponsored, SEOM InSARap project performed an interferometric analysis of Copernicus Sentinel-1 data which confirms the reported findings also with current data. While the results speak for themselves, we can just once more reiterate on the usefulness of the Copernicus Programme, in this case for deformation monitoring applications.

<strong>ANALYSIS SUMMARY</strong>


	Data overview:
	
		Sentinel-1 IW
		Track 47 descending
		Observation window December 2014 - June 2016
		Data download via Scientific Data Hub
	
	
	Processing overview:
	
		Time series analysis performed with Small Baseline Subset (SBAS) methodology
		Interferometric combinations of up to 96 days used
	
	


<em>More information and context available at insarap.org</em>

<em>Terms and Conditions:</em> All Sentinel-1 results that are available for download are Derived Works of Copernicus data (2014-2016), subject to the "<em>TERMS AND CONDITIONS FOR THE USE AND DISTRIBUTION OF SENTINEL DATA AND SERVICE INFORMATION</em>".

<em>Acknowledgments: </em> ESA SEOM InSARap project - Sentinel-1 InSAR Performance Study with TOPS Data, contract number 4000110680/14/I-BG-InSARap
DOI: 10.5281/zenodo.17007
title: Powertac 2015-04 Qualifying 51-55

description: Log and boot files of games 51 - 55
DOI: 10.5281/zenodo.17009
title: Powertac 2015-04 Qualifying 56-60

description: Log and boot files of games 56 - 60
DOI: 10.5281/zenodo.17010
title: Powertac 2015-04 Qualifying 61-65

description: Log and boot files of games 61 - 65
DOI: 10.5281/zenodo.17012
title: Powertac 2015-04 Qualifying 66-70

description: Log and boot files of games 66 - 70
DOI: 10.5281/zenodo.17013
title: Powertac 2015-04 Qualifying 71-75

description: Log and boot files of games 71 - 75
DOI: 10.5281/zenodo.17014
title: Powertac 2015-04 Qualifying 76-80

description: Log and boot files of games 76 - 80
DOI: 10.5281/zenodo.17015
title: Powertac 2015-04 Qualifying 81-85

description: Log and boot files of games 81 - 85