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2,201 to 2,210 of 2,247 Results
Aug 21, 2026
Carbonell Ellgutter, Jennifer Alejandrina, 2026, "Replication Data for "Urban Heat: The warming effect of coastal infrastructure on sea turtle nesting beaches"", https://doi.org/10.18710/JRUPUW, DataverseNO, V1
The dataset contains hourly sand-temperature measurements collected during 2021 and 2022 at four coastal sites on the Pacific coast of Guatemala. Temperatures were recorded at two depths (30 and 50 cm) and at standardized distances (0.5–3 m) from concrete structures and undeveloped areas to assess the influence of coastal infrastructure on the ther...
Plain Text - 7.7 MB - MD5: bc00660a676a61a4fe1628b25a3f7600
Hourly sand-temperature data collected in 2021 and 2022
Jun 26, 2026
Barahmand Zahir, 2025, "Python code for a rule-based NLP model for mapping circular economy indicators to SDGs", https://doi.org/10.23642/USN.28920527, DataverseNO, V2
DATASET MIGRATED FROM FIGSHARE: The supplementary materials provide detailed support for the rule-based NLP model for classifying Circular Economy (CE) indicators against the Sustainable Development Goals (SDGs). The package includes: The complete Python codebase implementing the classification algorithm A detailed manual outlining model features,...
Plain Text - 6.5 KB - MD5: c13443b4429c9c306067f21b46e756e6
Comma Separated Values - 118.2 KB - MD5: 27fc315139cbc9115409fe813029f40a
Sample_input_CE_indicator_list_input_2713_round_2.csv
Comma Separated Values - 211.7 KB - MD5: b2fae43bd2746523237890e85775410f
sample_output_classified_indicators.csv
Adobe PDF - 132.2 KB - MD5: 244635960f5adfc3c446e928f4c3cad3
User_manual.pdf
Python Source Code - 34.1 KB - MD5: 4c88d8345636389baa91f2355e23cbf9
winpython_nlp_2713_CE-SDG_round2_0.py
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