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1.
Data Brief ; 43: 108481, 2022 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-35935710

RESUMO

This document contains data sets of the valley depositions of the Loosbach valley and data of the Late Neolithic wetland site of Pestenacker. It consists of raw data and graphical figures of direct push-based electrical conductivity and colour logs and driving core recoveries as well as hand drilling recoveries presented by Köhler et al. [1]. We reviewed unpublished archaeological profiles to determine the incision levels of former stream phases at Pestenacker site. Here, we provide the new, reusable and accessible data set. The data sets and figures of the valley depositions can be used for further analyses, including statistical ones, to improve the methods of the direct-push sensing and to compare it with the sedimentological features recovered from driving core and hand drillings. In addition, the data set is useful for further issues in Pestenacker as well as in the whole central Europe. Especially in the circum-Alpine region, as a comparison with other pile dwellings or stilt houses built from the Neolithic to the Bronce Age.

2.
Data Brief ; 40: 107832, 2022 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-35242896

RESUMO

We present a new hydrometric dataset that comprises water level and discharge time series measured at five tributaries draining sub-catchments of the mountainous Mueglitz River Basin in Germany. The monitoring sites were set up as far downstream as possible, taking into account technical and access restrictions. In total, 746,211 records of absolute pressure, electric conductivity, and water temperature were measured over 1.5 years (2019/04/24-2020/10/09) at a temporal resolution of 5 min using automatized dataloggers deployed at the streambed. The data was processed and is available for each site at various levels ranging from level 1-3. The level 1 data product contains merged and cleaned raw data, level 2 consists of water level time series based on local air pressure and surveying data measured on-site, and level 3 data includes stream discharge estimated by using the Manning formula. The data processing was performed with a generic workflow written in Python 3 which is referred to in this article for public use. The time series can be used to analyze extreme runoff events and catchment water balances, validate hydrological models, and for the planning of own measurement campaigns with similar objectives.

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