{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:39:11Z","timestamp":1760146751136,"version":"build-2065373602"},"reference-count":110,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2024,12,6]],"date-time":"2024-12-06T00:00:00Z","timestamp":1733443200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001659","name":"German Research Foundation (DFG)","doi-asserted-by":"publisher","award":["BE1780\/51-2","FA925\/16-1"],"award-info":[{"award-number":["BE1780\/51-2","FA925\/16-1"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>Over almost 20 years, a data storage, analysis, and project administration engine (TMFdw) has been continuously developed in a series of several consecutive interdisciplinary research projects on functional biodiversity of the southern Andes of Ecuador. Starting as a \u201cworking database\u201d, the system now includes program management modules and literature databases, which are all accessible via a web interface. Originally designed to manage data in the ecological Research Unit 816 (SE Ecuador), the open software is now being used in several other environmental research programs, demonstrating its broad applicability. While the system was mainly developed for abiotic and biotic tabular data in the beginning, the new research program demands full capabilities to work with area-wide and high-resolution big models and remote sensing raster data. Thus, a raster engine was recently implemented based on the Geo Engine technology. The great variety of pre-implemented desktop GIS-like analysis options for raster point and vector data is an important incentive for researchers to use the system. A second incentive is to implement use cases prioritized by the researchers. As an example, we present machine learning models to generate high-resolution (30 m) microclimate raster layers for the study area in different temporal aggregation levels for the most important variables of air temperature, humidity, precipitation, and solar radiation. The models implemented as use cases outperform similar models developed in other research programs.<\/jats:p>","DOI":"10.3390\/data9120143","type":"journal-article","created":{"date-parts":[[2024,12,6]],"date-time":"2024-12-06T09:55:20Z","timestamp":1733478920000},"page":"143","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Data Storage, Analysis, and Project Administration Engine (TMFdw) for Small- to Medium-Size Interdisciplinary Ecological Research Programs with Full Raster Data Capabilities"],"prefix":"10.3390","volume":"9","author":[{"given":"Paulina","family":"Grigusova","sequence":"first","affiliation":[{"name":"Laboratory for Climatology and Remote Sensing (LCRS), Department of Geography, University of Marburg, D-35032 Marburg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-6297-0921","authenticated-orcid":false,"given":"Christian","family":"Beilschmidt","sequence":"additional","affiliation":[{"name":"Geo Engine GmbH, Am Kornacker 68, D-35041 Marburg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maik","family":"Dobbermann","sequence":"additional","affiliation":[{"name":"Laboratory for Climatology and Remote Sensing (LCRS), Department of Geography, University of Marburg, D-35032 Marburg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Johannes","family":"Dr\u00f6nner","sequence":"additional","affiliation":[{"name":"Geo Engine GmbH, Am Kornacker 68, D-35041 Marburg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Mattig","sequence":"additional","affiliation":[{"name":"Geo Engine GmbH, Am Kornacker 68, D-35041 Marburg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-1993-435X","authenticated-orcid":false,"given":"Pablo","family":"Sanchez","sequence":"additional","affiliation":[{"name":"Instituto Nacional de Biodiversidad (INABIO), Pje. Rumipamba N. 341 y Av. de los Shyris (Parque La Carolina), Quito 170102, Ecuador"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0554-5128","authenticated-orcid":false,"given":"Nina","family":"Farwig","sequence":"additional","affiliation":[{"name":"Department of Biology, Conservation Ecology, University of Marburg, D-35032 Marburg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6559-2033","authenticated-orcid":false,"given":"J\u00f6rg","family":"Bendix","sequence":"additional","affiliation":[{"name":"Laboratory for Climatology and Remote Sensing (LCRS), Department of Geography, University of Marburg, D-35032 Marburg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,12,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"160018","DOI":"10.1038\/sdata.2016.18","article-title":"The FAIR Guiding Principles for scientific data management and stewardship","volume":"3","author":"Wilkinson","year":"2016","journal-title":"Sci. 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