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GTS Bulletin: SAEU63 EDZW - Surface data (details are described in the abstract)

The SAEU63 TTAAii Data Designators decode as: T1 (S): Surface data T1T2 (SA): Aviation routine reports A1A2 (EU): Europe (The bulletin collects reports from stations: EDDS;STUTTGART ;EDDM;MUNICH INT ;EDDN;NUERNBERG;LOWS;SALZBURG ;EDMA;AUGSBURG ;) (Remarks from Volume-C: COMPILATION FOR REGIONAL EXCHANGE)

Gender Pay Gap in Sachsen

Die Daten stellen den unbereinigten Gender Pay Gap, also die Lohnlücke zwischen vollzeitbeschäftigten Frauen und Männern (ohne Auszubildende) im Alter von 18 bis unter 65 Jahren, dar. Da Frauen andere Berufe wählen als Männer, in unterschiedlichen Branchen arbeiten oder in gleichen Unternehmen unterschiedliche Positionen haben, gibt der unbereinigte Gender Pay Gap ein unvollständiges Bild wider. Um eine mögliche Benachteiligung von Frauen bei der Entlohnung beziffern zu können, erfolgt daher die Berechnung des sogenannten bereinigten Gender Pay Gap. Das bedeutet, dass der Entgeltunterschied von Frauen und Männern mit gleichen Eigenschaften bestimmt wird. Die Berechnungen wurden vom Institut für Arbeitsmarkt- und Berufsforschung (IAB) Sachsen durchgeführt.

Wasserspeichersystem Lohsa II

Sanierung der Bergbaufolgelandschaft im Freistaat Sachsen. Lausitzer Seenland: Wasserspeichersystem Lohsa II / ehem. Tagebaurestgewässer Lohsa II, Burghammer und Dreiweibern Planfeststellungsbeschluss Teil 1 „Wasserspeichersystem Lohsa II" vom 23.12.2010 Das WSS Lohsa II besteht aus: - dem SB Dreiweibern, - dem Zuleiter aus der Kleinen Spree zum SB Dreiweibern, - der Biotopanbindung von der Kleinen Spree zum SB Dreiweibern - dem Überleiter vom SB Dreiweibern zum SB Lohsa II, - dem Verbindungsgraben ehemaliges Ascherestloch zum SB Lohsa II, - Einmündung der Vorflut Lohsa-Lippen in den Verbindungsgraben - dem Zuleiter aus der Spree zum SB Lohsa II, - dem SB Lohsa II, - dem Überleiter vom SB Lohsa II zum SB Burghammer (Tunnel), - dem Zuleiter aus der Kleinen Spree zum SB Burghammer, - dem SB Burghammer, - dem Ableiter aus dem SB Burghammer in die Kleine Spree. sowie jeweils den Absperrbauwerken, den Betriebseinrichtungen einschließlich der Gebäude, den Uferbereichen der drei SB, den Unterhaltungswegen und betriebsnotwendigen Flächen.

Kleine Spree (Burghammer bis Spreewitz)

Sanierung der Bergbaufolgelandschaft im Freistaat Sachsen. Lausitzer Seenland: Ausbau der Kleinen Spree von Burghammer bis Spreewitz Planfeststellungsbeschluss „Ausbau Kleine Spree von Burghammer bis Spreewitz" vom 21.03.2018 Das Teilvorhaben „Ausbau Kleine Spree von Burghammer bis Spreewitz“ ist Bestandteil des Gesamtvorhabens „WSS Lohsa II“. Maßnahmen: - Ausbau der Kleinen Spree auf einer Länge von 5.405 m für eine maximale Kapazität von 7,0 m³/s, - Beseitigung vorhandener Deiche, - Abriss bzw. Ertüchtigung von Brücken und Wehranlagen an der Kleinen Spree, - Waldumwandlungen sowie - Vermeidungs-, Verminderungs-, Schutz-, Ausgleichs- und Ersatzmaßnahmen gemäß LBP und AFB.

Westrandgraben (Hoyerswerda)

Sanierung der Bergbaufolgelandschaft im Freistaat Sachsen. Lausitzer Seenland: Westrandgraben (Hoyerswerda) Planfeststellungsbeschluss Herstellung des Westrandgrabens als Teilmaßnahme des Gesamtvorhabens "Entwässerungssystem zum Schutz der Stadt Hoyerswerda und des Umlandes gegen ansteigendes Grundwasser" vom 19.05.2000 Nach Einstellung der Grundwasserhebung in den die Stadt Hoyerswerda umgebenden Tagebauen, insbesondere Scheibe, Spreetal, Lohsa II und Burghammer, steigt der zuvor jahrzehntelang abgesenkte Grundwasserspiegel auch im Stadtgebiet Hoyerswerda wieder an. Mit der Umsetzung der Maßnahme als Schutz für die Stadt Hoyerswerda und des Umlandes soll ansteigendes Grundwasser über den Westrandgraben abgeleitet werden.

Bebauungsplaene Illingen/Wustweiler - Am Nahsenbuesch im hintersten Lohs Hinter Kraemersborner Wies

Bebauungspläne und Umringe der Gemeinde Illingen (Saarland), Ortsteil Wustweiler:Bebauungsplan "Am Nahsenbuesch im hintersten Lohs Hinter Kraemersborner Wies" der Gemeinde Illingen, Ortsteil Wustweiler

Bebauungsplaene Eppelborn/Dirmingen - Im_Loos

Bebauungspläne und Umringe der Gemeinde Eppelborn Ortsteil Dirmingen (Saarland):Bebauungsplan "Im_Loos" der Gemeinde Eppelborn, Ortsteil Dirmingen

KTB Borehole Measurements: Borehole Geometry and orientation Logs (BGL) of the German Continental Deep Drilling Program

KTB Borehole Measurements Data Borehole Geometry and orientation Logs (BGL) Extensive borehole measurements were performed during the active drilling phase of the KTB pilot and main hole. The data report STR 21/03 KTB Borehole logging data contains the full description of the logging data given here. Please read it thoroughly to avoid inappropriate or wrong use of the data. The KTB borehole measurement data files contain the final processed versions of logging data from the two KTB boreholes: • KTB-Oberpfalz VB (KTB Vorbohrung/Pilot Hole or KTB-VB) • KTB-Oberpfalz HB (KTB Hauptbohrung/Main Hole or KTB-HB). Here only the acronyms KTB-VB and KTB-HB are used. In total there are 145 data files from the KTB-VB and 239 data files from the KTB-HB. All logs were run in open hole unless noted otherwise (see the file header). The maximum logging depth was 4001 m in the KTB-VB and 9085 m in the KTB-HB. The Borehole Geometry and orientation Logs files contain data from measurements made with oriented 4-arm caliper sondes. Besides all single BG logs from each borehole also compilations of those BG logs representing the borehole geometry state during the major logging sessions and the derived borehole trajectory and true vertical depth are included here. The many single logs allow to analyze the development of the borehole shape over time. The date when logged is denoted in the file header. Please note that the single Borehole Geometry Logs are not depth corrected to the reference GR but are given here as logged. The BGL compilations and derived data are depth corrected to the reference GR. The data are provided in ASCII format. Detailed descriptions are provided in the associated data report (STR 21/03, Kueck et al., 2021) and the KTB Borehole Measurements Catalog. Acknkowledgements: The GFZ German Research Centre for Geosciences, Potsdam, Germany, as successor of the KTB Project Management provides the logging data, which were obtained under grants RG8604, RG8803 and RG 9001 of the Federal Ministry of Research and Technology of Germany.

Spatial representation of direct loss estimates on the residential building stock of Lima (Peru) from decoupled earthquake and tsunami scenarios on variable resolutions exposure models

This data repository contains the spatial distribution of the direct financial loss computed expected for the residential building stock of Metropolitan Lima (Peru) after the occurrence of six decoupled earthquake and tsunami risk scenarios (Gomez-Zapata et al., 2021a; Harig and Rakowsky, 2021). These risk scenarios were independently calculated making use of the DEUS (Damage Exposure Update Service) available in https://github.com/gfzriesgos/deus. The reader can find documentation about this programme in (Brinckmann et al, 2021) where the input files required by DEUS and outputs are comprehensively described. Besides the spatially distributed hazard intensity measures (IM), other inputs required by DEUS to computed the decoupled risk loss estimates comprise: spatially aggregated building exposure models classified in every hazard-dependent scheme. Each class must be accompanied by their respective fragility functions, and financial consequence model (with loss ratios per involved damage state). The collection of inputs is presented in Gomez-Zapata et al. (2021b). The risk estimates are computed for each spatial aggregation areas of the exposure model. For such a purpose, the initial damage state of the buildings is upgraded from undamaged (D0) to any progressive damage state permissible by the fragility functions. The resultant outputs are spatially explicit .JSON files that use the same spatial aggregation boundaries of the initial building exposure models. An aggregated direct financial loss estimate is reported for each cell after every hazard scenario. It is reported one seismic risk loss distribution outcome for each of the 2000 seismic ground motion fields (GMF) per earthquake magnitude (Gomez-Zapata et al., 2021a). Therefore, 1000 seismic risk estimates from uncorrelated GMF are stored in “Clip_Mwi_uncorrelated” and 1000 seismic risk estimates from spatially cross-correlated GMF (using the model proposed by Markhvida et al. (2018)) are stored in “Clip_ Mwi_correlated”. It is worth noting that the prefix “clip” of these folders refers to the fact that, all of the seismic risk estimates were clipped with respect to the geocells were direct tsunami risk losses were obtained. This spatial compatibility in the losses obtained for similar areas and Mw allowed the construction of the boxplots that are presented in Figure 16 in Gomez-Zapata et al., (2021). The reader should note that folder “All_exposure_models_Clip_8.8_uncorrelated_and_correlated” also contains another folder entitled “SARA_entire_Lima_Mw8.8” where the two realisations (with and without correlation model) selected to produce Figure 10 in Gomez-Zapata et al., (2021) are stored. Moreover, the data to produce Figure 9 (boxplots comparing the variability in the seismic risk loss estimates for this specific Mw 8.8, are presented in the following .CSV file: “Lima_Mw_8.8_direct_finantial_loss_distributions_all_spatial_aggregations_Corr_and_NoCorr.csv”. Naturally, 1000 values emulating the 1000 realisations are the values that compose the variability expressed in that figure. Since that is a preliminary study (preprint version), the reader is invited to track the latest version of the actually published (if so) journal paper and check the actual the definitive numeration of the aforementioned figures.

Composite OSG Logging Data from the PTA-2 borehole, Big Island, Hawai'i

Compilation of downhole logging data from the borehole PTA2 inside Bradshaw Army Camp in the saddle region between Mauna Kea and Mauna Loa on the Big Island of Hawai'i (Composite OSG Logging Data Hawaii PTA2.asc, ASCII). The PTA2 borehole was fully cored into a lava dominated rock sequence; open hole bit size was HQ. The data were derived from the following logging runs in February and June 2016: GR total natural Gamma ray, SGR spectrum natural Gamma ray, MS magnetic susceptibility, BS borehole sonic, DIP dipmeter, and ABI43 acoustic borehole imager. All sondes were run in an open hole section below the casing shoe: 885 - 1566 m except for the SGR, which was also measured in the cased upper section and the ABI43, which also logged a 40 m long section inside the casing.The logging data are complemented by Acoustic borehole image data that were measured in June 2016 in the open hole section below the casing shoe: 889 - 1566 m; open hole bit size was HQ. Logging sonde: ABI43 (ALT). The images are oriented to north (magnetic orientation). File formats are DLIS and WCL (WellCAD 5.2). The data are further described in Jerram et al. (2019, https://doi.org/10.5194/sd-25-15-2019).The logging data was measured and processed by the Operational Support Group (OSG) of ICDP hosted by GFZ Potsdam (see https://www.icdp-online.org/support/service/downhole-logging/?type=12&tx_icdpdatatables_pi1%5Bajaxcall%5D=1 for further information). Detailed information about the OSG Slimhole Wireline Logging Sondes ist provided at https://www.icdp-online.org/fileadmin/icdp/services/img/Logging/OSG_Slimhole_Sondes_Specs_pics_2019-05.pdf. The data are also described in Jerram et al. (2019), Millet et al. (2017, 2018) and Willoughby, L. (2015). The file structure is described in the header of the data file.

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