Gridded rainfall maps retrieved from commercial microwave link (CML) data from Sri Lanka

Gridded dataset of rainfall intensities (mm/h) covering Sri Lanka over the period 12 September 2019 through 31 December 2019. Commercial microwave link (CML) data were used to estimate path-average rainfall between telephone towers. These were interpolated to 15-min rainfall maps on a 0.02 degree grid (approximately 4 km)

Data underlying the research of: Improving forecast skill of lowland hydrological models using ensemble Kalman filter and unscented Kalman filter

research dataset underlying peer reviewed manuscript containing hydrological streamflow forecasts (using perfect forcing) covering a period of 10 years to determine the benefits of streamflow assimilation using the WALRUS hydrological model for a Dutch lowland area (Regge catchment

Template scripts on Google Earth Engine to detect green tides on the foreshores of beaches using Landsat archive

This github data repository gives access to template scripts to detect and monitor green tides on the foreshores of beaches using Landsat archive. The template provide examples for beaches in Northern Brittany, France. Two templates show how to estimate the green tide surfaces using Google Earth Engine Javascript. One template focuses on retrieving spectral signatures for certain point of interest on one image and export them in a chart. <br

Data from observations of the role of water hyacinths in macroplastic transport and accumulation

This dataset presents the observations from a monitoring campaign conducted at Ho Chi Minh City (HCMC), Vietnam, in April-June 2020. The campaign focused on the Saigon river and aimed at quantifying the role of water hyacinths in macroplastic transport and accumulation. The first sheet pertains to the visual counting of floating macroplastic items from the Thu Thiem bridge at HCMC. It details the number of macroplastic items counted within water hyacinths (entangled) and outside (free-floating). The second and third sheet present the results from aerial surveys conducted on 23 May 2020 with a UAV. The second sheet details all floating macroplastic items identified through manual labelling on the drone imagery and provides information on their size and polymer composition The third sheet presents the results from the identification of floating vegetation (water hyacinths) through color segmentation and their areas

Meteorological forcing, and corresponding hydrological model input and output used in the paper: The impact of hydrological model structure on the simulation of extreme runoff events.

The data sets used in Van Kempen et al., 2021 are included in this repository. These files consist of the original meteorological forcing, hydrological model input and hydrological model output.The readme file provides a description of the set-up of these data sets. </div

Rob2Pheno Annotated Tomato Image Dataset

Dataset of RGBD images of tomato plants in a production greenhouse (Enza Zaden BV) obtained using Realsense cameras, and object instance level ground truth annotations of the fruit for using object detectors such as MaskRCNN or YOLACT. These data were used to obtain the results reported in our paper Tomato Fruit Detection and Counting in Greenhouses using Deep Learning, Frontiers in Plant Science, 2020.<br

Dataset on green tide surfaces over Brittany using Landsat imagery for 35 years of monitoring

This dataset details all data used for a manuscript submission entitled "Spotting green tides over Brittany from space: three decades of monitoring with Landsat imagery". It presents data derived from Earth observation detection on the macroalgae surface on four studied sites in Brittany, France. These estimates were made using Landsat 5 and 8 satellite imagery, using the Google Earth Engine environment. Spectral signatures of natural features found on the study sites (sand, water and algae) are also presented. Additional datasets include 1) green macroalgae surface estimates made by an external source, CEVA (French Algae Technology and Innovation Center) and derived from aerial photography. This data was used for comparison with our results 2) nitrogen concentrations for four water stations close to the study sites. Nitrogen is considered the main physico-chemical factor controlling algae growth

Supporting dataset for the paper: Does load-induced shallow subsidence inhibit delta growth?

This is the supporting dataset for “Chamberlain, E.L., Shen, Z., Kim, W., Törnqvist, T.E., McKinley, S., & Anderson, S. Does load-induced shallow subsidence inhibit delta growth? In prep for Journal of Geophysical Research - Earth Surface”. Estimated submission date: March, 2021.The dataset includes stratigraphic information for boreholes of ten cross sections that were hand drilled from 2013-2015 CE in the bayhead region of the Lafourche subdelta, Mississippi Delta, USA. The study area spans ~6000 km2 and the cross sections are located near distributary channels. Data herein describe the location, surface elevation, and depth of each borehole as well as the depth relative to the surface of the mouth-bar to overbank (M-O) boundary and OSL ages for the mouth-bar deposits.We used these data to estimate centennial- to millennial-timescale cumulative subsidence and subsidence rates of a buried stratigraphic horizon, the M-O boundary, as detailed in the associated publication. Subsidence calculation methods are presented in the dataset, and subsidence data obtained from peat-top elevations at a relatively inland site (Paincourtville, LA, USA) are presented for comparison.</div

Analysis results of the paper baseLess: Lightweight detection of sequences in raw MinION data

BaseLess reduces your MinION sequencing device to a simple species  detector. As a trade-off, it runs on inexpensive computational hardware  like single-board computers. The baseLess code base can be found here. All data and analysis results described in the paper describing baseLess are stored in this file.</p

Experimental data ammonium recovery from digested blackwater using electrodialysis in combination with Donnan dialysis

This dataset contains data collected during experiments on ammonium recovery using electrodialysis combined in combination with donnan dialysys from digested blackwater at constant current density and different load ratio (current applied vs nitrogen load).</div