11 to 20 of 1,280 Results
Sep 19, 2025 -
Replication Data for: Functional diversity of dead wood promotes species rich communities of fungi
Comma Separated Values - 275.7 KB -
MD5: 8c987069a1f7f488c58d844ede15336e
Characteristics of each log and presence / absence of species |
Sep 19, 2025 -
Replication Data for: Functional diversity of dead wood promotes species rich communities of fungi
Comma Separated Values - 6.7 KB -
MD5: 5609a9998c8a55bf5793f372b345c8a1
Plot level data of dead wood volume and diversity as well as frequency of each species (based on fruiting body surveys) |
Sep 8, 2025
Laukli, Ane Kirstine, 2025, "Regnbed langs veg og gate i nordisk klima : utforming og vegetasjon", https://doi.org/10.18710/LH9DBU, DataverseNO, V1
Examination of the optimal design of rain gardens in road environments in Nordic climates, with a particular focus on suitable plant species and soil properties. The background is the increasing occurrence of extreme rainfall due to climate change, as well as the growing need for nature-based solutions to mitigate flooding. Despite the rising inter... |
Plain Text - 11.3 KB -
MD5: 0b84c8e218e8e3eca300572dc6ca6938
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Adobe PDF - 910.7 KB -
MD5: eebf770574bb72ce5676f65c6695072b
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Plain Text - 29.2 KB -
MD5: 343d24422a48a95edd3385c6b9afef8b
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Plain Text - 160.0 KB -
MD5: e144b09d90be6e50c47331fad62c76ed
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Aug 28, 2025
Gupta, Suvidha; Marchetti, Jorge Mario, 2025, "Supporting data for: Development of cost-effective process for phyco-remediation of dairy wastewater and valorization of algal biomass for production of biofuel and biochemical: A sustainable approach towards bio-refinery", https://doi.org/10.18710/Z4SVVU, DataverseNO, V1
This dataset supports the research project titled: "Development of cost-effective process for phyco-remediation of dairy wastewater and valorization of algal biomass for production of biofuel and biochemical: A sustainable approach towards bio-refinery." Purpose: The dataset was generated to explore sustainable strategies for wastewater treatment a... |
Plain Text - 12.9 KB -
MD5: 2f04046dc1b3bd8da43e159f3bc99947
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Comma Separated Values - 4.7 KB -
MD5: 1ef1c68d4d6ea0921ff0594a7fe3d9d8
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