Evidence map›Paper›PMID 39138221›Full record

ArticleScientific data2024

EStreams: An integrated dataset and catalogue of streamflow, hydro-climatic and landscape variables for Europe.

Thiago V M do Nascimento, Julia Rudlang, Marvin Höge, Ruud van der Ent, Máté Chappon, Jan Seibert, Markus Hrachowitz, Fabrizio Fenicia

Abstract read
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Thiago V M do NascimentoEawag: Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland. thiago.nascimento@eawag.ch.ORCID http://orcid.org/0000-0001-6213-8310
Julia RudlangDepartment of Water Management, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, Netherlands.
Marvin HögeEawag: Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.
Ruud van der EntDepartment of Water Management, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, Netherlands.
Máté ChapponSzéchenyi István University, Department of Transport Infrastructure and Water Resources Engineering, Győr, Hungary.ORCID http://orcid.org/0000-0002-4692-9419
Jan SeibertDepartment of Geography, University of Zurich, Zurich, Switzerland.
Markus HrachowitzDepartment of Water Management, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, Netherlands.ORCID http://orcid.org/0000-0003-0508-1017
Fabrizio FeniciaEawag: Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research) OCENW.M.21.230Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) OCENW.M.21.230
6 · The paper itself

Abstract

Large-sample hydrology datasets have become increasingly available, contributing to significant scientific advances. However, in Europe, only a few such datasets have been published, capturing only a fraction of the wealth of information from national data providers in terms of available spatial density and temporal extent. We present "EStreams", an extensive dataset of hydro-climatic variables and landscape descriptors and a catalogue of openly available stream records for 17,130 European catchments. Spanning up to 120 years, the dataset includes streamflow indices, catchment-aggregated hydro-climatic signatures and landscape attributes (topography, soils, geology, vegetation and landcover). The catalogue provides detailed descriptions that allow users to directly access streamflow data sources, overcoming challenges related to data redistribution policies, language barriers and varied data portal structures. EStreams also provides Python scripts for data retrieval, aggregation and processing, making it dynamic in contrast to static datasets. This approach enables users to update their data as new records become available. Our goal is to extend current large-sample datasets and further integrate hydro-climatic and landscape data across Europe.

Identifiers

PMID39138221
PMCPMC11322309

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.