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This data contribute to the Global Streamflow Indices and Metadata Archive (GSIM) and hold a collection of quality controlled time series indices at more than 30000 stations representing (i) the water balance, (ii) the seasonal cycle, (iii) low-flows and (iv) floods. Time series indices are available at monthly, seasonal and yearly resolution. For each time resolution the data are stored in text-files, each representing an individual station. The time series indices are accompanied by a table containing information on time-series homogeneity and a readme file.

Data catalog and catchment boundary for 30,959 daily streamflow stations included in the Global Streamflow and Metadata Archive (GSIM) project. This dataset is a compressed zip-archive containing (i) a readme file, (ii) metadata of all GSIM stations obtained from original data sources and time series, (iii) quality of catchment boundary and catchment characteristics extracted from 12 global data-products, (iv) list of stations with suspect geographical coordinates and (v) catchment boundaries for 30,935 stations that have reasonable geographical location. […]

Tagou talks about a kind of grass that can be called ujem gsim or qrre.. Language as given:

The data collection covers the streamflow data used for calibrating and validating the global water use and availability model WaterGAP v2.2e. The collection is a result of a data selection, assessment and merge effort from three data sources (GRDC, GSIM, ADHI) for in total 1509 stations. The stations are co-registered to the DDM30 (Döll & Lehner 2002) according their best hydrological fit.

Please see the readme.md for details.

{"references": ["Do, H. X., Gudmundsson, L., Leonard, M. and Westra, S.: The Global Streamflow Indices and Metadata Archive (GSIM) \u2013 Part 1: The production of a daily streamflow archive and metadata, Earth Syst. Sci. Data, 10(2), 765\u2013785, doi:10.5194/essd-10-765-2018, 2018", "udmundsson, L., Do, H. X., Leonard, M. and Westra, S.: The Global Streamflow Indices and Metadata Archive (GSIM) \u2013 Part 2: Quality control, time-series indices and homogeneity assessment, Earth Syst. Sci. Data, 10(2), 787\u2013804, doi:10.5194/essd-10-787-2018, 2018", "Tramblay, Y., Rouch\u00e9, N., Paturel, J.-E., Mah\u00e9, G., Boyer, J.-F., Amoussou, E., Bodian, A., Dacosta, H., Dakhlaoui, H., Dezetter, A., Hughes, D., Hanich, L., Peugeot, C., Tshimanga, R. and Lachassagne, P.: ADHI: the African Database of Hydrometric Indices (1950\u20132018), Earth Syst. Sci. Data, 13(4), 1547\u20131560, doi:10.5194/essd-13-1547-2021, 2021", "The Global Runoff Data Centre (GRDC, https://www.bafg.de/GRDC/EN/Home/homepage_node.html)"]} The data collection covers the streamflow data used for calibrating and validating the global water use and availability model WaterGAP v2.2e. The collection is a result of a data selection, assessment and merge effort from three data sources (GRDC, GSIM, ADHI) for in total 1509 stations. The stations are co-registered to the DDM30 (Döll & Lehner 2002) according their best hydrological fit. Please see the readme.md for details. The authors received the agreement of the data producers to republish the streamflow data. However, please consider to use (and cite) the original data resources and the corresponding licenses.

An updated and extended version of the dataset (referred as G-RUN ENSEMBLE) is available at https://figshare.com/articles/dataset/G-RUN_ENSEMBLE/12794075-------------------------------------------------------------------------------------------------The dataset contains a gridded global reconstruction of monthly runoff timeseries. In-situ streamflow observations from the GSIM dataset are used to train a machine learning algorithm that predicts monthly runoff rates based on antecedent precipitation and temperature from the Global Soil Wetness Project Phase 3 (GSWP3) meteorological forcing dataset. We thank Prof. Dr. Hyungjun Kim for developing the GSWP3 dataset and providing us with early access to the data. The data are provided in NetCDFv4 format at monthly resolution covering the period 1902-2014. The GRUN reconstruction ("GRUN_v1_GSWP3_WGS84_05_1902_2014.nc" file) is provided on a 0.5 degrees (WGS84) grid in units of mm/day. The runoff time series correspond to the ensemble mean of 50 reconstructions obtained by training the machine learning model with different subsets of data. The individual ensemble members of the reconstruction are provided in the "Realizations_GRUN_v1_GSWP3_WGS84_05_1902_2014.zip" file.When using this dataset, please cite: Ghiggi, G., Humphrey, V., Seneviratne, S. I., Gudmundsson (2019), GRUN: An observations-based global gridded runoff dataset from 1902 to 2014, Earth Syst. Sci. Data, 2019, DOI: https://doi.org/10.5194/essd-2019-32 The complete collection of in-situ streamflow observations from the GSIM archive can be found at: - https://doi.pangaea.de/10.1594/PANGAEA.887477 - https://doi.pangaea.de/10.1594/PANGAEA.887470 For further information on the GSIM dataset see: - https://doi.org/10.5194/essd-10-765-2018 - https://doi.org/10.5194/essd-10-787-2018 For further information on GSWP3, see: - https://doi.org/10.20783/DIAS.501 - https://hyungjun.github.io/GSWP3.DataDescription - http://hydro.iis.u-tokyo.ac.jp/GSWP3/exp1.html

Mikrozensus: Erwerbstätige nach Stellung im Beruf- Kreise (GS ab 01.08.08) - Jahre (2011-2019) 1)

Ergänzungserhebung im Bauhauptgewerbe: Gesamtumsatz, Gesamtumsatzart, Kreise, Stichmonat, GS 31.07.2008

Ergänzungserhebung im Bauhauptgewerbe: Vorjahresumsatz, Gesamtumsatzart, Kreise, Stichtag, GS 31.07.2008

Tägliche und monatliche Niederschlagsdaten für unsere Station im Convoy G.S. in Co. Donegal. Diese Station ist jetzt geschlossen. Tägliche und monatliche Niederschlagsdaten für unsere Station im Convoy G.S. in Co. Donegal. Diese Station ist jetzt geschlossen.

Ergänzungserhebung im Bauhauptgewerbe: Geleistete Arbeitsstunden, Bauarten, Kreis, Stichmonate, GS 31.07.2008

Ergänzungserhebung im Bauhauptgewerbe: GeleisteteArbeitsstunden, Bauarten- Kreise (GS ab 01.08.08) - Stichmonate (Juni)

Ergänzungserh. im Bauhauptgewerbe: Betriebe, Tätige Pers.,Baugewerbl. Umsatz im VJ- Kreise (GS ab 01.08.08) - Stichtage

Energieverwendung d. Betriebe im Bergbau u.Verarb. Gewerbe: Energieverbrauch, Energieträger - Kreise (GS 31.12.BJ) - Jahr (2005-2007)

Jährliche Erhebung im Ausbaugewerbe: Umsatz im Vorjahr- Kreise (GS ab 01.08.08) - Jahre

Tägliche und monatliche Niederschlagsdaten für unsere Station im Camp G.S. in Co. Kerry. Diese Station ist jetzt geschlossen.

Ergänzungserh. im Bauhauptgewerbe: Betriebe, Tätige Pers.,Gesamtumsatz im Vorjahr- Gemeinden ( GS ab 01.01.2023) - Stichtage (ab 2008)

Ergänzungserh. im Bauhauptgewerbe: Lohn (bis 06), Gehalt (bis 06), Entgelt - Kreise (GS ab 01.08.08) - Stichmonate (Juni)

Ergänzungserhebung im Bauhauptgewerbe: Vorjahresumsatz,Gesamtumsatzart - Kreise (GS ab 01.08.08)- Stichtage