Citation:

PANGAEA.916127

Name: Fig. 3. Stratigraphy and soil properties of test field
Published: 2020-08-05
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Cone penetration test; In-situ; Soil testing

Always quote citation above when using data! You can download the citation in several formats below.

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Keyword(s):

Cone penetration test; In-situ; Soil testing

Related to:

Al-Sammarraie, Dina; Kreiter, Stefan; Kluger, Max Oke; Mörz, Tobias (2020): Reliability of CPT measurements in sand – influence of spacing. Géotechnique, 1-13, https://doi.org/10.1680/jgeot.19.P.247

Coverage:

Latitude: 53.139746 * Longitude: 8.727844

Event(s):

CPT_Bremen * Latitude: 53.139746 * Longitude: 8.727844 * Location: Northern Germany * Method/Device: Cone penetration testing-lance (CPT)

Parameter(s):

#	Name	Short Name	Unit	Principal Investigator	Comment
1	Penetration depth	Penetr depth	m	Al-Sammarraie, Dina	d50
2	Median, grain size	D50	µm	Al-Sammarraie, Dina
3	Penetration depth	Penetr depth	m	Al-Sammarraie, Dina	SBT
4	Soil type	Soil type		Al-Sammarraie, Dina	soil behaviour type
5	Penetration depth	Penetr depth	m	Al-Sammarraie, Dina	for Fr, qt, and Dr
6	Friction ratio	Fr	%	Al-Sammarraie, Dina
7	Cone resistance	qc	MPa	Al-Sammarraie, Dina
8	Relative density	Rel dens		Al-Sammarraie, Dina

License:

Creative Commons Attribution 4.0 International (CC-BY-4.0)

Size:

24117 data points

Data

Download dataset as tab-delimited text — use the following character encoding:

1 Penetr depth [m] (d50)	2 D50 [µm]	3 Penetr depth [m] (SBT)	4 Soil type (soil behaviour type)	5 Penetr depth [m] (for Fr, qt, and Dr)	6 Fr [%]	7 qc [MPa]	8 Rel dens
0.715	400	0.598065351	7	0.598065351	0.000000000	1.982298818	0.408129757
1.350	400	1.918143849	7	0.599017190	0.005079412	2.342514563	0.471262862
1.685	365	1.918143849	6	0.600015325	0.044784105	2.534423353	0.500838966
2.175	390	4.979469781	6	0.601015739	0.061529450	2.693523778	0.523653071
2.910	370	4.979469781	5	0.602015752	0.058714329	2.859207631	0.546038165
3.370	380	5.297086954	5	0.603016469	0.051927387	2.974170101	0.560709932
3.565	290	5.297086954	6	0.604017174	0.057033653	3.083478909	0.574110165
3.835	380	5.438060294	6	0.605015695	0.058287393	3.190769857	0.586795359
4.425	335	5.438060294	5	0.606018293	0.066676535	3.267772312	0.595527586
4.960	300	5.530035673	5	0.607016598	0.066059585	3.332807485	0.602691891
5.705	260	5.530035673	4	0.608015075	0.064425897	3.371430959	0.606741865
6.200	220	5.662993524	4	0.609017634	0.066232294	3.433393447	0.613336355
6.575	325	5.662993524	6	0.610013878	0.065972945	3.501104144	0.620438778
6.850	300	6.256325176	6	0.611020551	0.072925200	3.560284285	0.626476045
		6.256325176	5	0.612016924	0.069054246	3.651270113	0.635758538
		6.612246223	5	0.613016974	0.078926645	3.694802742	0.639927309
		6.612246223	6	0.614019373	0.071449454	3.783928475	0.648679558
		6.731220949	6	0.615021447	0.081517577	3.845376520	0.654474915
		6.731220949	5	0.616013810	0.066846922	3.952793754	0.664655269
		6.902884462	5	0.617015331	0.075137130	4.070445597	0.675496958
				0.618022019	0.073467929	4.176463872	0.684969054
				0.619009060	0.071817088	4.308929500	0.696548882
				0.620011089	0.073805350	4.398804537	0.704084809
				0.621016655	0.064943857	4.521093768	0.714216966
				0.622015421	0.067048093	4.629847167	0.722951879
				0.623011607	0.067903453	4.738090923	0.731434160
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				2.552697493	0.769455775	7.940773725	0.630963170
				2.553697493	0.767852001	7.929725991	0.630349888
				2.554697923	0.773510005	7.900657426	0.628857537
				2.555696675	0.773140545	7.913403876	0.629391581
				2.556698211	0.767982802	7.936421270	0.630424654
				2.557697660	0.772955685	7.919756504	0.629534818
				2.558695396	0.779578216	7.890565100	0.628035270
				2.559685519	0.774626372	7.891818870	0.628018575
				2.560683566	0.763365557	7.917946988	0.629210899
				2.561687856	0.767658356	7.906730194	0.628582678
				2.562683669	0.773599635	7.899651860	0.628153016
				2.563684402	0.778708410	7.888287820	0.627516193
				2.564685536	0.774826406	7.912095151	0.628590255
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				2.566685178	0.760427200	7.908095427	0.628245882
				2.567683256	0.772321999	7.880389888	0.626811328
				2.568684068	0.773555179	7.871515234	0.626296822
				2.569684526	0.770475213	7.875770929	0.626423822
				2.570683282	0.761409069	7.918449709	0.628417509
				2.571682854	0.759328920	7.908810169	0.627872213
				2.572682697	0.768920089	7.878641744	0.626320008
				2.573685057	0.764437474	7.863569797	0.625510337
				2.574684759	0.767457717	7.861448842	0.625322829
				2.575683091	0.766553189	7.860778618	0.625209733
				2.576683781	0.768040722	7.829529268	0.623603548
				2.577685768	0.764011943	7.827996662	0.623450001
				2.578685756	0.761891238	7.847073340	0.624301229
				2.579683901	0.769136581	7.820287927	0.622907680
				2.580682725	0.770362946	7.829290505	0.623264446
				2.581683839	0.765893793	7.839170206	0.623668951
				2.582683472	0.763886777	7.841168835	0.623686838
				2.583684683	0.758609778	7.843899154	0.623743039
				2.584683114	0.764803695	7.836987656	0.623318569
				2.585684476	0.768543971	7.838795875	0.623322095
				2.586685212	0.772121547	7.810419005	0.621851251
				2.587684541	0.766423141	7.823661283	0.622422648
				2.588684006	0.763001779	7.817474578	0.622041884
				2.589680951	0.763002749	7.808117320	0.621503317
				2.590684440	0.762200942	7.838338405	0.622898951
				2.591684811	0.774194279	7.737346754	0.617850305
				2.592684756	0.761152946	7.792453035	0.620493683
				2.593684103	0.761494508	7.799681050	0.620766785
				2.594681269	0.755386085	7.795006771	0.620463673
				2.595688914	0.756064445	7.758884128	0.618604822

Only the first 2000 rows were shown. To view the complete dataset, download it as tab-delimited text. You can still view the full matrix in your browser, but be aware that this may crash the browser due to the huge size.