cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/5da44fa96c8ce
title: Parkes observations for project P892 semester 2019APRS_10

description: SUPERBx looks at the highest Galactic latitudes in a search for pulsars and fast radio bursts (FRBs). We use optimised GPU codes and supercomputing to search for these, making discoveries in real time. Handling our data as it comes in is essential for the SKA Phase I era so this work applies directly to the high-data rates of next generation telescopes. Our pulsar discoveries are typically nearby scintillating sources, intermittent sources and those in interesting binary systems. Our FRB discoveries have discovery lags of ~1 second, rather than months/years and these feed rapid alerts to the world-wide follow-up community via a dedicated VOEvent format an Astronomer's Telegrams. The goal of this is to allow localisation of the discovered FRBs. This is key for identifying FRB host galaxies, so as to solve the mystery of their progenitors and to exploit their many uses as tools for precision cosmology measurements.
DOI: 10.5281/zenodo.3484135
title: Gaze cueing by multiple people - averaged eye tracking data by participant

description: Data for article Gaze cueing by multiple people. Averaged eye tracking data by participant that was included. Task 1 - time to first fixation and total fixation duration for each Area of Interest Task 2 - time to first fixation for Area of Interest as determined by the task
DOI: 10.7910/dvn/v8ib1d/5ymxdp
title: M6_cen_spell

description: :unav
DOI: 10.7910/dvn/v8ib1d/artenu
title: M7_cen_spell

description: :unav
DOI: 10.7910/dvn/v8ib1d/dwgpeq
title: M9_cen_spell

description: :unav
DOI: 10.7910/dvn/v8ib1d/j84jzg
title: M9_cluster_lengths

description: :unav
DOI: 10.7910/dvn/v8ib1d/jnuf5q
title: M7_cluster_lengths

description: :unav
DOI: 10.7910/dvn/v8ib1d/pcrujm
title: M6_cluster_lengths

description: :unav
DOI: 10.7910/dvn/v8ib1d/tbd2vm
title: M8_cluster_points

description: :unav
DOI: 10.7910/dvn/v8ib1d/v0uwd8
title: M6_cluster_points

description: :unav
DOI: 10.7910/dvn/v8ib1d/whoezu
title: M9_cluster_points

description: :unav
DOI: 10.7910/dvn/v8ib1d/1sax5q
title: M9_rainfall_rate

description: :unav
DOI: 10.7910/dvn/v8ib1d/6spvnn
title: M7_cluster_points

description: :unav
DOI: 10.7910/dvn/v8ib1d/jacpua
title: M7_rainfall_rate

description: :unav
DOI: 10.7910/dvn/v8ib1d/kq1fjd
title: M8_cluster_lengths

description: :unav
DOI: 10.7910/dvn/v8ib1d/ohoedj
title: M9_cen_spell

description: :unav
DOI: 10.7910/dvn/v8ib1d/twxqwk
title: M8_cen_spell

description: :unav
DOI: 10.7910/dvn/v8ib1d/ucwsig
title: M8_rainfall_rate

description: :unav
DOI: 10.7910/dvn/v8ib1d/yl9zre
title: M6_rainfall_rate

description: :unav
DOI: 10.7910/dvn/v8ib1d/3krydr
title: M6_cluster_lengths

description: :unav
DOI: 10.7910/dvn/v8ib1d/3sxvsb
title: M8_cluster_points

description: :unav
DOI: 10.7910/dvn/v8ib1d/6julzk
title: M9_cluster_lengths

description: :unav
DOI: 10.7910/dvn/v8ib1d/8gdpsd
title: M6_cen_spell

description: :unav
DOI: 10.7910/dvn/v8ib1d/ppmd0t
title: M7_cen_spell

description: :unav
DOI: 10.7910/dvn/v8ib1d/qzvpoe
title: M7_cluster_lengths

description: :unav
DOI: 10.21227/8wx8-0591
title: Water meter dataset

description: Water meter dataset. Contains 1244 water meter images. Assembled using a crowdsourcing platform Yandex.Toloka.
DOI: 10.21227/tdqj-cw20
title: Water meter dataset

description: Water meter dataset. Contains 1244 water meter images. Assembled using a crowdsourcing platform Yandex.Toloka.
DOI: 10.5281/zenodo.3483991
title: Raw data of RNA-seq and IGV -2

description: Raw data of RNA-seq and IGV of infected samples and mock infected samples
DOI: 10.5281/zenodo.3483992
title: Raw data of RNA-seq and IGV -2

description: Raw data of RNA-seq and IGV of infected samples and mock infected samples
DOI: 10.25919/5da3d63b7aca6
title: Parkes observations for project P1019 semester 2019APRS_02

description: As part of a survey of the Galactic plane MeerKAT has identified a spectacular new bow-shock nebula that shows marked similarities to the nebula known as the “Mouse”. Like the Mouse it is very likely that at the tip of this nebula there is a young pulsar moving supersonically. As this region of the plane has been searched as part of the High Time Resolution Universe low-latitude survey we know that the pulsar must be faint. We propose here to undertake a very deep search, about an order of magnitude fainter than previous searches of this region, using a full-track observation with the newly available UWL receiver. This search will either reveal the faint young pulsar that resides in this nebula or place extremely constraining limits on its flux density beamed towards the Earth.
DOI: 10.25919/5da3d6772d16a
title: Parkes observations for project P456 semester 2019APRS_52

description: The Parkes Pulsar Timing Array (PPTA) project has three primary goals: (a) detection of gravitational waves from astronomical sources, (b) establishment of a pulsar timescale, and (c) improvement of our understanding of Solar-system dynamics. The PPTA is the oldest of three international pulsar timing groups. We have the smallest telescope and the smallest group, but the best measurements and the best results. Our bound on the strength of the incoherent gravitational wave background is the only bound which significantly constrains theoretical models. We have maintained our leading position because: we have the southern sky; we have a small but well-focussed group; we have the best-calibrated receivers; and we have been able to observe with an almost regular cadence of 15 to 20 days over a wide bandwidth. With this proposal we aim to maintain our pre-eminent position in the field. Unlike most observing proposals, this is a continuing proposal for which the observations will continue to improve bounds on ultra-low-frequency gravitational waves until they are finally detected. Continued Parkes observations will remain valuable at least until the first stage of the SKA is able to improve on our sensitivity and observing cadence. Even after the gravitational wave background is detected we will want to continue observations in support of the nascent field of gravitational wave astronomy!
DOI: 10.15468/jovcjv
title: On the status of Microrhopala arizonica Schaeffer (Coleoptera: Chrysomelidae Cassidinae: Chalepini)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Riley, Edward G. (2019): On the status of Microrhopala arizonica Schaeffer (Coleoptera: Chrysomelidae Cassidinae: Chalepini). Zootaxa 4686 (1): 133-139, DOI: https://doi.org/10.11646/zootaxa.4686.1.8
DOI: 10.7910/dvn/scfgex/4nfgul
title: MIKOS_KAM_PLOS_ONE.tab

description: Dataset
DOI: 10.7910/dvn/scfgex/od5yjh
title: Mikos & Kam Fig 4 S1-S4.xlsx

description: Fig 4, S1-S4
DOI: 10.7910/dvn/scfgex/yni393
title: Mikos & Kam Replication syntax.do

description: :unav
DOI: 10.5258/soton/d1106
title: Data for Combining DC and AC electric fields with Deterministic Lateral Displacement for Micro- and Nano-particle separation

description: The dataset contains the original data (including images and videos) used to create the figures presented in the publication: Victor Calero Martin, Pablo Garcia-Sanchez, Antonio Ramos and Hywel Morgan, Combining DC and AC electric fields with Deterministic Lateral Displacement for Micro- and Nano-particle separation
DOI: 10.17632/5sbndnjm3c.1
title: Data for: Flow analysis of a switching valve with innovative poppet head geometry by means of CFD method

description: Laboratory experiment results with two versions of poppet head geometry and two cases of the load: low and high.
DOI: 10.17632/5s8t3k2mjw.1
title: Data for: Stomach content analysis of mesopelagic fish from the southern Kerguelen Axis

description: Dietary information of three myctophids (Electrona antarctica, Gymnoscopelus braueri, Krefftichthys anderssoni) and one bathylagid (Bathylagus antarcticus) over the southern extension of the Kerguelen Plateau retrieved using visual assessment of stomach contents.
DOI: 10.5281/zenodo.3479915
title: Raw data of RNA-seq and IGV -1

description: The raw data of RNA-seq and IGV data of infected samples and bacterial samples.
DOI: 10.5281/zenodo.3479916
title: Raw data of RNA-seq and IGV -1

description: The raw data of RNA-seq and IGV data of infected samples and bacterial samples.
DOI: 10.5281/zenodo.3484496
title: Experimental material, data and code.

description: Experimental material, data and code.
DOI: 10.5281/zenodo.3484497
title: Experimental material, data and code.

description: Experimental material, data and code.
DOI: 10.21227/xx7d-xs13
title: Water meter dataset

description: Water meter dataset. Contains 1244 water meter images. Assembled using a crowdsourcing platform Yandex.Toloka.
DOI: 10.5281/zenodo.3484731
title: Determinant Quantum Monte Carlo data for the Hubbard model on the half filled square lattice, on a (U,B)-grid

description: Data generated with QUEST 1.4.9. For documentation see these two homepages:<br> Original homepage: http://quest.ucdavis.edu/<br> Newest version available at: https://code.google.com/archive/p/quest-qmc/ The simulations are done at half filling on a square lattice, with the following parameters: Lattice sizes: 4x4, 6x6, 8x8, 10x10, 12x12, periodic boundary conditions Trotter discretizations: 0.1 and 0.2 Inverse temperature beta = 10.0 48 values for the on-site interaction U from 0.0 to 10.0 48 values for the magnetic field (in z-direction) B from 0.0 to 4.0 10000 warmup sweeps, 30000 measurement sweeps The following data from equal time measurements are available: Charge-Charge Correlation (next neighbors) Greens Function (n.n.) Magnetization Double Occupancy Kinetic Energy Total Energy Spin-Spin Correlation (n.n.) Spin-Spin Correlation (only ZZ) (n.n.) Ferromagnetic Structure Factor (ZZ) Antiferromagnetic Structure Factor (ZZ) The data are available as a hdf5 archive. The python script 'extract.py' illustrates the access with h5py. Relevant QUEST input parameters are provided in the group 'parameters' within the archive. All calculated quantities are averaged over multiple consecutive simulations, which is why the data is not presented in the usual QUEST output. This was necessary due to limited walltime on the used supercomputer. The authors acknowledge the North-German Supercomputing Alliance (HLRN) for providing computing resources via project number hbp00046 that have contributed to these results.
DOI: 10.21227/mn6c-6w82
title: Evaluation dataset per criteria

description: The plotted graph shows the mean values of the framework evaluation data provided by 10 participants over 8 criteria.
DOI: 10.21227/wnr6-zk89
title: Evaluation dataset per criteria

description: The plotted graph shows the mean values of the framework evaluation data provided by 10 participants over 8 criteria.
DOI: 10.25919/5da42f2e9d8f4
title: Parkes observations for project P737 semester 2019APRS_11

description: The aim of this proposal is to carry out tests of the new backend instruments which cannot be carried out during standard maintenance periods. The scheduled time is used to measure beam shapes, determine polarisation calibration solutions and commission the National Facility observing modes for the new wide-band receiver.
DOI: 10.5281/zenodo.3484732
title: Determinant Quantum Monte Carlo data for the Hubbard model on the half filled square lattice, on a (U,B)-grid

description: Data generated with QUEST 1.4.9. For documentation see these two homepages:<br> Original homepage: http://quest.ucdavis.edu/<br> Newest version available at: https://code.google.com/archive/p/quest-qmc/ The simulations are done at half filling on a square lattice, with the following parameters: Lattice sizes: 4x4, 6x6, 8x8, 10x10, 12x12, periodic boundary conditions Trotter discretizations: 0.1 and 0.2 Inverse temperature beta = 10.0 48 values for U from 0.0 to 10.0 48 values for B from 0.0 to 4.0 10000 warmup sweeps, 30000 measurement sweeps The following data from equal time measurements are available: Charge-Charge Correlation Greens Function Magnetization Double Occupancy Kinetic Energy Total Energy Spin-Spin Correlation Spin-Spin Correlation (only ZZ) Ferromagnetic Structure Factor (ZZ) Antiferromagnetic Structure Factor (ZZ) The data is uploaded as a simple NumPy-Array (.npy). The script "extract.py" will generate a folder structure and sort the data for easy access. All calculated quantities are averaged over multiple consecutive simulations, which is why the data is not presented in the usual QUEST output. This was necessary due to limited walltime on the used supercomputer. The authors acknowledge the North-German Supercomputing Alliance (HLRN) for providing computing resources via project number hbp00046 that have contributed to these results.
DOI: 10.25919/5da42fc6b0815
title: Parkes observations for project P595 semester 2019APRS_12

description: We propose to continue the PULSE@Parkes project in which high school students from Australia and around the World use the Parkes radio telescope in a remote observing model to observe and analyse pulsar data. The data from some PULSE@Parkes observations are used to support the FERMI Gamma ray mission, other observations supplement the P456 Pulsar Timing Array project and the remainder were chosen in order to make a detailed analysis of pulsar timing irregularities and intermittency.
DOI: 10.25919/5da3ed81dacd8
title: Parkes observations for project P574 semester 2019APRS_08

description: We request time to observe 260 pulsars on a regular basis to provide the accurate ephemerides necessary for the detection and characterisation of gamma-ray pulsars with the Fermi satellite. The primary science goals are to increase the number of known gamma-ray pulsars (both radio loud and radio quiet), to determine accurate pulse profiles, and to characterise their high energy (phase-resolved) spectra. In the radio, the observations will also allow us to investigate: neutron stars and pulsar emission via detecting glitches and determining pulse timing parameters; and the ISM via measuring and monitoring dispersion measures, Faraday rotation measures, and scintillation. To date, we are (co-)authors on 75 papers arising from the collaboration and P574 data. The data have contributed to the PhD theses of students from Bordeaux, Manchester, Oxford, Stanford, and Swinburne.
DOI: 10.7910/dvn/bki1x3/60iny1
title: README.txt

description: :unav
DOI: 10.7910/dvn/bki1x3/0rpych
title: table_e2.R

description: :unav
DOI: 10.7910/dvn/bki1x3/9rlzoh
title: make_podes_data.R

description: :unav
DOI: 10.7910/dvn/bki1x3/ckc6os
title: table_e7.R

description: :unav
DOI: 10.7910/dvn/bki1x3/fidh9w
title: figures_d1_to_d5.R

description: :unav
DOI: 10.7910/dvn/bki1x3/j1mdg4
title: table_e6.R

description: :unav
DOI: 10.7910/dvn/bki1x3/oruueh
title: directory_structure.RData

description: :unav
DOI: 10.7910/dvn/bki1x3/otjgr8
title: mayors_dates_corrected.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/wgbgtx
title: merge_test.R

description: :unav
DOI: 10.7910/dvn/bki1x3/y6ibsn
title: DATA SNPK 2002_JRI 30 11 2015.tab

description: :unav
DOI: 10.17632/jp545z8b93.1
title: Data for: Study on single bubble in acceleration sensor with magnetic fluid
DOI: 10.7910/dvn/bki1x3/bbzdzx
title: figure_c1.R

description: :unav
DOI: 10.7910/dvn/bki1x3/gurqfd
title: kecamatan_podes2008_to_dprd2004.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/hzhlxy
title: DATA SNPK 2001_JRI 30 11 2015.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/i25d3l
title: figures_e5_to_e9.R

description: :unav
DOI: 10.7910/dvn/bki1x3/ihxzms
title: DATA SNPK 2006_JRI 30 11 2015.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/ksvoqa
title: DATA SNPK 1999_JRI 30 11 2015.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/lj5l8v
title: religious_diversity_census_2010.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/qvcl7h
title: DATA SNPK 2009_JRI 30 11 2015.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/uillyj
title: DATA SNPK 2004_JRI 30 11 2015.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/8k1s8m
title: DATA SNPK 1997_JRI 30 11 2015.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/co4x6x
title: make_elections_data.R

description: :unav
DOI: 10.7910/dvn/bki1x3/de4kry
title: make_directory.R

description: :unav
DOI: 10.7910/dvn/bki1x3/gbc2xr
title: figure_1.R

description: :unav
DOI: 10.7910/dvn/bki1x3/iga6s2
title: podes_main_analysis.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/ky0f7x
title: figure_e1.R

description: :unav
DOI: 10.7910/dvn/bki1x3/kzlvmy
title: kecamatan_dprd2009_to_dprd2004.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/ui0bh1
title: table_e1.R

description: :unav
DOI: 10.7910/dvn/bki1x3/x5be0e
title: kecamatan_dprd_2009_to_fractionalization.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/g2jn2k
title: budget_2013_fin.csv

description: :unav
DOI: 10.7910/dvn/bki1x3/ivjgol
title: table_e5.R

description: :unav
DOI: 10.7910/dvn/bki1x3/lxdzlm
title: DATA SNPK 2005_JRI 30 11 2015.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/mxjwkg
title: kecamatan_to_dprd2_2004.csv

description: :unav
DOI: 10.7910/dvn/bki1x3/r2f6j8
title: make_pretreat_podes_data.R

description: :unav
DOI: 10.7910/dvn/bki1x3/rajw3w
title: kecamatan_nvms_to_dprd2009.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/shlaiq
title: kecamatan_ifls_to_dprd2004.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/vy663c
title: ifls_commleader_data_07_14.csv

description: :unav
DOI: 10.7910/dvn/bki1x3/zjeld1
title: DATA SNPK 1998_JRI 30 11 2015.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/0bm5fh
title: kecamatan_ifls_to_dprd2009.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/9hixxl
title: 20190128_eth_rel_kec_data.csv

description: :unav
DOI: 10.7910/dvn/bki1x3/kxgbao
title: 20190125_ethnic_frac_data_clean.Rmd

description: :unav
DOI: 10.7910/dvn/bki1x3/kyylcc
title: table_d2.R

description: :unav
DOI: 10.7910/dvn/bki1x3/nlzebo
title: table_e4.R

description: :unav
DOI: 10.7910/dvn/bki1x3/qucvxi
title: DATA SNPK 2007_JRI 30 11 2015.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/sxme0s
title: full_data_merged_w_codes021119.csv

description: :unav
DOI: 10.7910/dvn/bki1x3/vsplke
title: DATA SNPK 2003_JRI 30 11 2015.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/1nauag
title: kecamatan_dprd_2004_to_podes2003.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/2ro6rj
title: table_1.R

description: :unav
DOI: 10.7910/dvn/bki1x3/56e3pv
title: table_e3.R

description: :unav
DOI: 10.7910/dvn/bki1x3/o5vixp
title: table_2.R

description: :unav
DOI: 10.7910/dvn/bki1x3/oul1qh
title: DATA SNPK 2010_JRI 30 11 2015.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/sfywax
title: podes_balance_analysis.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/w1wqhl
title: tables_e8_e9.R

description: :unav
DOI: 10.7910/dvn/bki1x3/ylwsdd
title: dprd2_2009_results.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/34u74f
title: figures_e2_e3.R

description: :unav
DOI: 10.7910/dvn/bki1x3/5tzhim
title: ifls_individual_data_07_14.csv

description: :unav
DOI: 10.7910/dvn/bki1x3/6vvphd
title: make_violence_data.R

description: :unav
DOI: 10.7910/dvn/bki1x3/cxeb6z
title: kecamatan_crosswalks.R

description: :unav
DOI: 10.7910/dvn/bki1x3/hgfveb
title: DATA SNPK 2013_JRI 30 11 2015.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/tajevr
title: kecamatan_dprd_2009_to_podes2008.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/wjmgsm
title: kecamatan_podes2014_to_dprd2009.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/x1zctg
title: dprd2_2004_discrepancies.csv

description: :unav
DOI: 10.7910/dvn/bki1x3/ypciui
title: DATA SNPK 2012_JRI 30 11 2015.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/4mfmeh
title: kecamatan_to_dprd2_2009.csv

description: :unav
DOI: 10.7910/dvn/bki1x3/ip4obu
title: kabs_sharia_laws_011218.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/ngtxlu
title: tables_c2_d1.R

description: :unav
DOI: 10.7910/dvn/bki1x3/nzwpz8
title: dapil_clusters.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/ppstfk
title: DATA SNPK 2000_JRI 30 11 2015.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/r30uz9
title: DATA SNPK 2014_JRI 30 11 2015.tab

description: :unav
DOI: 10.7910/dvn/bki1x3/tya4if
title: dprd2_2004_results.csv

description: :unav
DOI: 10.7910/dvn/bki1x3/wrfwci
title: functions.R

description: :unav
DOI: 10.7910/dvn/bki1x3/x2wt0n
title: DATA SNPK 2008_JRI 30 11 2015.tab

description: :unav
DOI: 10.5281/zenodo.3484679
title: Data from: Spatial configuration matters when removing windfelled trees to manage bark beetle disturbances in Central European forest landscapes

description: The published dataset contains the result of the paper titled <strong>Spatial configuration matters when removing windfelled trees to manage bark beetle disturbances in Central European forest landscapes, in Journal of Environmental Management.</strong> Two zip files contain maps in ascii format for the total bark beetle and wind damage over 54 simulation year in our study region in Slovakia under reference climate and different climate change scenarios. No- salvaging and 95% salvaging scenarios are shown, just as in the paper. Excel file contains data of the other figures in the paper (main text and appendices as well). See more details about target area, and iLand model: https://www.sciencedirect.com/science/article/pii/S0168192318302946 http://iland.boku.ac.at/startpage contact: Laura Dobor; dobor.laura@gmail.com
DOI: 10.5281/zenodo.3485127
title: ERT Datasets for the paper of Nickschick et al. (2019) in Solid Earth

description: Underlying data for the paper Nickschick, T., Flechsig, C., Mrlina, J., Oppermann, F., Löbig, F. & Günther, T. (2019): Large-scale electrical resistivity tomography in the Cheb Basin (Eger Rift) at an ICDP monitoring drill site to image fluid-related structures. Solid Earth. https://doi.org/10.5194/se-2019-38. The paper contains two types of data: DC resistivity (geoelectrics) ERT data in four profiles<br> -------------------------------------------------------<br> P1, P2 and P3 represent classical multi-electrode ERT data with a unit electrode spacing of a=5m using the Wenner array. They are a representative selection of in total 8 profiles measured in the frame of the (German) MSc work of F. Loebig (there called P2, P5 and P7) where also the lithological section (Fig. 2) was developed:<br> 1. P1 between Lesinka and Hnevin, 620m long<br> 2. P2 around the Hartousov mofette, 700m long<br> 3. P3 between Hartousov and Kacerov, 700m long The inversion results are shown in Fig. 6a,b,c. The large-scale dataset represents data from a dipole-dipole experiment that is in detail described in the paper (Figs. 3-5) with the inversion result given in Fig. 7a along with borehole data.<br> For location see Fig. 1. For all four profiles we provide<br> - measured data with electrode positions on top and the electrode array (abmn) along with the resistance below, topography at the bottom<br> - the configuration file for the inversion software BERT (see https://gitlab.com/resistivity-net/bert), we used version 2.2.9 from January 2019<br> - kml/gpx files denoting the positions of the electrode chains (P1-P3) or an Excel file containing the positions in UTM33N Note that for P2 and the large-scale profile the topography needs to be taken into account whereas it is not necessary <br> Users should be able to reproduce the results by calling<br> bert cfgfile all show Gravity data<br> ------------<br> The data represent a two-column file:<br> 1. position along the ERT profile (projected) in metres<br> 2. Bouguer anomaly in mGal See also special README file in the gravity folder.
description: {"references": ["Nickschick, T., Flechsig, C., Mrlina, J., Oppermann, F., L\u00f6big, F. & G\u00fcnther, T. (2019): Large-scale electrical resistivity tomography in the Cheb Basin (Eger Rift) at an ICDP monitoring drill site to image fluid-related structures, Solid Earth Discussions, https://doi.org/10.5194/se-2019-38."]}
DOI: 10.7910/dvn/bki1x3/15reiy
title: figure_e10.R

description: :unav
DOI: 10.7910/dvn/bki1x3/3bfa8c
title: budget_2008_fin.csv

description: :unav
DOI: 10.7910/dvn/bki1x3/fwzirw
title: main.R

description: :unav
DOI: 10.7910/dvn/bki1x3/ln63tr
title: readme.Rmd

description: :unav
DOI: 10.7910/dvn/bki1x3/m41awy
title: readme.html

description: :unav