1.

Abundance and presence of species found at 200 sampling sites partitioned amongst 70 mesohabitat units in the San Saba River, TX during 2018 surveys.

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Abundance and presence of species found at 200 sampling sites partitioned amongst 70 mesohabitat units in the San Saba River, TX during 2018 surveys.

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Abundance and presence of species found at 200 sampling sites partitioned amongst 70 mesohabitat units in the San Saba River, TX during 2018 surveys.

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Flows simulated using HEC-RAS, including exceedance probabilities for USGS gage 08144500 (San Saba at Menard) for both the period of record (1916–2022) and 1998–2018 and date and m...

2.

Flows simulated using HEC-RAS, including exceedance probabilities for USGS gage 08144500 (San Saba at Menard) for both the period of record (1916–2022) and 1998–2018 and date and m...

3.

Flows simulated using HEC-RAS, including exceedance probabilities for USGS gage 08144500 (San Saba at Menard) for both the period of record (1916–2022) and 1998–2018 and date and m...

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Complex hydraulic variables calculated in the U.S. Army Corps of Engineers Hydrologic Engineering Center’s River Analysis System (HEC-RAS).

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Complex hydraulic variables calculated in the U.S. Army Corps of Engineers Hydrologic Engineering Center’s River Analysis System (HEC-RAS).

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Complex hydraulic variables calculated in the U.S. Army Corps of Engineers Hydrologic Engineering Center’s River Analysis System (HEC-RAS).

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Results of random forest (RF) classification models examining the response of freshwater mussel presence to hydraulic conditions at simulated flows using site-level and mesohabitat...

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Results of random forest (RF) classification models examining the response of freshwater mussel presence to hydraulic conditions at simulated flows using site-level and mesohabitat...

3.

Results of random forest (RF) classification models examining the response of freshwater mussel presence to hydraulic conditions at simulated flows using site-level and mesohabitat...

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Results of random forest (RF) regression models examining the response of freshwater mussel log(x+1) species’ abundances to hydraulic conditions at simulated flows.

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Results of random forest (RF) regression models examining the response of freshwater mussel log(x+1) species’ abundances to hydraulic conditions at simulated flows.

3.

Results of random forest (RF) regression models examining the response of freshwater mussel log(x+1) species’ abundances to hydraulic conditions at simulated flows.

1.

Detection of Vegetation Coverage in Urban Agglomeration of Brussels by NDVI Indicator Using eCognition Software and Remote Sensing Measurements