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Near Surface Soil Moisture and Temperature data - TOMST Medium metadata
About the data: This dataset consists of soil moisture and temperature measurements collected from TOMST (https://tomst.com/web/en/systems/tms/tms-4/) data loggers in several...About the data:
This dataset consists of soil moisture and temperature measurements collected from TOMST (https://tomst.com/web/en/systems/tms/tms-4/) data loggers in several locations in Africa but also in Cuba. The dataset consists of three near-surface temperature measurements (12 cm ground surface (Temp: +12 cm), on the ground surface (Temp: 0 cm), and just below the surface (Temp: -6 cm). Measurements of soil moisture are collected at a depth of 15 cm below the ground using the Time Domain Transmittometry technique. The TOMST loggers record soil moisture measurements as raw electric signals, which have to be converted to volumetric soil moisture content by a calibration approach. At the moment, we have used a global calibration curve (independent of soil texture) as we calibrate the loggers for different textures. The dataset herein includes the raw sensor readings, which can be calibrated using the TMS calibration guide https://tomst.com/web/wp-content/uploads/2023/05/TMS-calibration-handbook.pdf
Utilization:
The dataset is intended for applications in hydrology to monitor long-term soil moisture conditions, agricultural droughts (vegetation water deficit), validate soil moisture and evapotranspiration observations from remote sensing, and soil water balance models. In some cases, the data is also being used to assess the suitability of using this type of sensor for irrigation scheduling and water conservation. We have deployed these loggers to evaluate whether the fine resolution (250m) data from FAO’s Water Productivity through Open access of Remotely sensed derived data (WaPOR) can be used to contribute to relevant and timely drought monitoring at micro-scale, and how drought indices computed from WaPOR-data correspond to soil moisture trends at field scale.
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Showcase - Be-Resilient Citizen Science Water Quality Data (South Africa) Medium metadata
This dataset contains citizen science water quality measurements collected under the Be-Resilient initiative of the UNESCO Intergovernmental Hydrological Programme (IHP). Data...This dataset contains citizen science water quality measurements collected under the Be-Resilient initiative of the UNESCO Intergovernmental Hydrological Programme (IHP). Data were gathered across multiple Biosphere Reserves in South Africa as part of ongoing efforts to enhance community-based monitoring and local resilience to hydroclimatic risks.
The dataset includes in-situ observations of key water quality parameters, such as pH, electrical conductivity, turbidity, dissolved oxygen, and temperature, each accompanied by localized timestamps and contextual metadata. Measurements were obtained by trained citizen scientists and local volunteers, following standardized protocols designed to ensure comparability across sites and over time.
Individual identifiers have been removed to protect the privacy of participants. The dataset serves as an open, quality-controlled source for hydrological and environmental analyses, education, and early-warning applications. It contributes to the broader Be-Resilient programme objective of promoting citizen and open science approaches for climate adaptation, data democratization, and the co-production of water knowledge in vulnerable and data-scarce regions.
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World Heritage Site List Medium metadata
The World Heritage List includes 1248 properties forming part of the cultural and natural heritage which the World Heritage Committee considers as having outstanding universal...The World Heritage List includes 1248 properties forming part of the cultural and natural heritage which the World Heritage Committee considers as having outstanding universal value.
These include 972 cultural, 235 natural and 41 mixed properties in 170 States Parties. As of October 2024, 196 States Parties have ratified the World Heritage Convention.
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VISUS assessment in Chimanimani Medium metadata
Outcome of the 'Visual Inspection for Defining the Safety Upgrading Strategies’ (VISUS) approach to assess the school safety in the Chimanimani District after the Cyclone Idai....Outcome of the 'Visual Inspection for Defining the Safety Upgrading Strategies’ (VISUS) approach to assess the school safety in the Chimanimani District after the Cyclone Idai. A VISUS survey across 15 schools in the Chimanimani district was conducted to gauge rehabilitation needs and identify key areas to build resilience.
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Caravan CAMELS-CL Medium metadata
Caravan is an open community dataset of meteorological forcing data, catchment attributes, and discharge data for catchments around the world. Additionally, Caravan provides...Caravan is an open community dataset of meteorological forcing data, catchment attributes, and discharge data for catchments around the world. Additionally, Caravan provides code to derive meteorological forcing data and catchment attributes in the cloud, making it easy for anyone to extend Caravan to new catchments. The vision of Caravan is to provide the foundation for a truly global open source community resource that will grow over time.
The Caravan dataset that was released together with the paper. Since Version 1.6, the dataset is published in two different Zenodo repositories, depending on the filetype of the timeseries data.
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Landslides and Landslide Susceptibility Maps - Chimanimani and Chipinge, Zimbabwe Medium metadata
These datasets and maps present the landslides observed and landslide susceptibility of the Chimanimani and Chipinge Districts of Zimbabwe. The maps provide a qualitative...These datasets and maps present the landslides observed and landslide susceptibility of the Chimanimani and Chipinge Districts of Zimbabwe. The maps provide a qualitative assessment of the likelihood of a landslide occurrence in an area depend on the terrain condition, and knowledge of prior landslides in the region. These maps have been prepared with the recording of 20 000 landslides, that have been identified in the region, particularly those as a result of the Cyclone Idai that occurred in 2019.
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Dry and seasonal boreholes and wells - Madagascar Limited metadata
Dry and seasonal boreholes and wells - Madagascar -
Man and Biosphere Reserves Around The World Limited metadata
Composed of 669 biosphere reserves in 120 countries, including 16 transboundary sites, the World Network of Biosphere Reserves (WNBR) of the UNESCO Man And Biosphere (MAB)...Composed of 669 biosphere reserves in 120 countries, including 16 transboundary sites, the World Network of Biosphere Reserves (WNBR) of the UNESCO Man And Biosphere (MAB) Programme consists of a dynamic and interactive network of sites of excellence. It works to foster the harmonious integration of people and nature for sustainable development through participatory dialogue, knowledge sharing, poverty reduction, human well-being improvements, respect for cultural values and by improving society’s ability to cope with climate change.For more information, visit: http://www.unesco.org/new/en/natural-sciences/environment/ecological-sciences/man-and-biosphere-programme/
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Dashboard Builder - synthetic validation data Limited metadata
Synthetic observations for functional validation of Dashboard Builder. These are not research measurements. -
Water Quality Dataset Limited metadata
This dataset provides water quality data from stations in the Republic of Korea. -
Physical-chemical water quality Limited metadata
Physical-chemical water measurements: pH, conductivity, dissolved oxygen, nutrients, salinity and temperature. 1. Choose the site and note date and weather. 2. Select the...Physical-chemical water measurements: pH, conductivity, dissolved oxygen, nutrients, salinity and temperature. 1. Choose the site and note date and weather. 2. Select the protocol and testing kit you are using. 3. Take the water sample following your protocol. 4. Measure each parameter and record the values. 5. Take the backup photos (sample next to the colour chart). 6. Save: it uploads by itself when there is internet.
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E. coli / Coliform Bacteria Limited metadata
Bacteriological contamination test (H2S) with E. coli estimation. 1. Take the water sample with the test bottle. 2. Photograph the sample at the start (hour 0). 3. Let it...Bacteriological contamination test (H2S) with E. coli estimation. 1. Take the water sample with the test bottle. 2. Photograph the sample at the start (hour 0). 3. Let it incubate and check the bottle periodically. 4. Record how many hours it took to change colour and take another photo. 5. Using the kit's table, select the estimated E. coli range. 6. Save: it uploads by itself when there is internet.
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Habitat Assessment Limited metadata
Observation of impacts on the riparian habitat: invasive species, livestock, trash, sand mining, and others (view vw_cs_wq_habitat). -
miniSASS — Macroinvertebrates Limited metadata
miniSASS biological index: counting macroinvertebrate groups to estimate river health (view vw_iw_wq_minisass). -
River Depth and Discharge Limited metadata
Observation of level/discharge from the River Watch program: depth in cm and discharge with site photos (view vw_rw_flow_depth_and_discharge). -
Velocity and Flow Limited metadata
Flow measurement by section: channel width, depth readings, and total discharge (view vw_cs_wq_velocity). -
Shared aquifer monitoring (restricted demo) Limited metadata
Demo dataset for the Gulf Country Platform showing the "restricted" data sharing level. -
Coastal water quality (viewable demo) Limited metadata
Demo dataset for the Gulf Country Platform showing the "viewable" data sharing level.
