8e1b17da-de91-4e21-b440-a0ad86c7082b 17ef156f-33cf-4ffa-af89-3c29fa767394 Francisco Manuel Sánchez Cano LifeWatch ERIC ICT Core e-Infrastructure Resources Integration Coordinator Plaza de España Sector II-III Sevilla 41071 Spain franciscom.sanchez@lifewatch.eu 2025-05-29T16:57:21.144414Z ISO 19115:2003/19139 1.0 WGS 1984 Microclimate station 020-021 2024-10-16 This dataset belongs to the experiment "Monitoring of microclimates in Mediterranean mountain ecosystems of Sierra Nevada using dataloggers" (parent record: https://geonetwork.gis.lifewatch.eu/srv/spa/catalog.search#/metadata/17ef156f-33cf-4ffa-af89-3c29fa767394) The microclimate station 020-021 is installed in Hortichuela, at an altitude of c.a. 1400 m.a.s.l (replica 2). It measures the following variables every 30 minutes: - Air temperature and air relative humidity (80-100 cm) - Soil moisture and soil temperature (40 cm) - Ground surface temperature (on bare soil and under leaf litter) The monitored habitat of this station is oak forest. The technical characteristics of the “LW-GD-DL-001” dataloggers are: - Communications capabilities: NB-IoT, LTE-M, GPRS, Bluetooth and LoRa. - MCU and Communications: GPS/GLONASS/BeiDou/Galileo/QZSS. - Supported sensor protocols: ADC, SDI-12, RS-485, RS-232, RS-422, I2C, Digital Counter. - Inputs: 2 or 4 ADC with adjustable gain (by current or voltage) and 2 digital inputs. - Storage: Micro SD Card with up to 64GB. - Power: Solar charger, 13V to 60V Power Supply, 7.4V 5000mAh Battery. - Working range: Temperature: -25°C ~ 85°C. Humidity: 5% ~ 95% (non-condensing). - The dataloggers are fully managed from LifeWatch IoT Platform. In this monitoring, we present an instrumental proposal that we are implementing to characterize microclimates in the Sierra Nevada mountain ecosystems (SE Spain). This monitoring is based on sensor networks (dataloggers) installed in different habitats (oak forests, scrublands and pine plantations) and microhabitats (under leaf litter, under scrub, under stone or on bare soil). This work is part of the project “Thematic Center on Mountain Ecosystem & Remote sensing, Deep learning-AI e-Services University of Granada-Sierra Nevada” (LifeWatch-2019-10-UGR-04), which has been co-funded by the Ministry of Science and Innovation through the ERDF funds from the Spanish Pluriregional Operational Program 2014-2020 (POPE), LifeWatch-ERIC action line. Pablo Guerrero University of Granada pabloteleco@ugr.es Regino Zamora University of Granada rzamora@ugr.es Francisco Manuel Sánchez Cano LifeWatch ERIC ICT Core e-Infrastructure Resources Integration Coordinator Plaza de España s/n, Sector II-III Sevilla 41071 Spain franciscom.sanchez@lifewatch.eu www.lifewatch.eu WWW:LINK-1.0-http--link https://geonetwork.gis.lifewatch.eu/srv/api/records/8e1b17da-de91-4e21-b440-a0ad86c7082b/attachments/Bajo_roble2.jpg Microclimate Sierra Nevada Mediterranean mountain ecosystems Datalogger Sensor Air temperature Soil temperature Ground surface temperature Air relative humidity Soil moisture Mountain ecology Cross-scaling Intensive monitoring stations Macro and microhabitats Sensor network Leaf litter Oak forest GEMET - INSPIRE themes, version 1.0 2008-06-01 geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme Sierra Nevada National and Natural Park Creative Commons Attribution 4.0 International Public License (CC BY 4.0) 5000 environment climatologyMeteorologyAtmosphere biota elevation -3.3813 -3.3791 37.1285 37.1303 SensorML 2.0 LifeWatch ERIC geonetwork@lifewatch.eu https://sos.beta.lifewatch.eu/service?service=SOS&version=2.0.0&request=DescribeSensor&procedure=http://sos.lifewatch.eu/datalogger/_860873045726071_1729068317069&procedureDescriptionFormat=http%3A%2F%2Fwww.opengis.net%2Fsensorml%2F2.0 OGC:SOS Sensor Description (SensorML via SOS) Technical description of the station Microclimate 020 in SensorML 2.0 format via the OGC SOS service. https://geoportal.gis.lifewatch.eu/portal/apps/dashboards/2c6637b26090452383df0c0fb1aadd73 WWW:LINK-1.0-http--link ArcGIS Dashboard for Sensor Data Visualization Visual dashboard in ArcGIS for real-time sensor data visualization and analysis. https://api.iot.lifewatch.dev/orion/v2/entities/860873045726071_1729068317069_sensor API: FIWARE Generic Enablers such as the Orion Context Broker for time-series data management FIWARE Enablers-020 https://api.iot.lifewatch.dev/orion/v2/entities/860873045726071_1729068317069_status API: Fiware status Fiware status-020 https://sos.beta.lifewatch.eu/service?service=SOS&version=2.0.0&request=DescribeSensor&procedure=http://sos.lifewatch.eu/datalogger/_860873045075495_1728904121932&procedureDescriptionFormat=http%3A%2F%2Fwww.opengis.net%2Fsensorml%2F2.0 OGC:SOS Sensor Description (SensorML via SOS) Technical description of the station Microclimate 021 in SensorML 2.0 format via the OGC SOS service. https://sos.beta.lifewatch.eu/api/datasets?services=1&procedures=1154&datasetTypes=timeseries&observationTypes=simple&valueTypes=quantity,count OGC:SOS Sensor Observation Service Data Access Access to time series data for station Microclimate 020 via Helgoland REST API (JSON format). https://sos.beta.lifewatch.eu/api/datasets?services=1&procedures=1149&datasetTypes=timeseries&observationTypes=simple&valueTypes=quantity,count OGC:SOS Sensor Observation Service Data Access Access to time series data for station Microclimate 021 via Helgoland REST API (JSON format). https://52north.github.io/sensorweb-server-helgoland/version_2.x/index.html WWW:LINK-1.0-http--link Helgoland API Documentation (52°North) Official documentation for the 52°North SensorWeb Helgoland REST API. This dataset was collected from a station equipped with a datalogger connected to various sensors during the period available via the Sensor Observation Service (SOS). The data was processed to ensure accuracy and consistency. 1) Data Collection​: Sensors were deployed in the field to measure temperature and humidity. Data was logged every 10 minutes. 2) Data Storage and Processing: The collected data is transmitted to the FIWARE platform, where it is stored and processed using FIWARE Generic Enablers such as the Orion Context Broker for time-series data management.​ 3) Data review or validation: The data are raw, as received from the sensors, and have not undergone any review or validation process for possible outliers or gaps in the time series. 4) Data Dissemination: The processed data is made available through Sensor Observation Service (SOS) endpoints, allowing standardized access to sensor observations. Additionally, the data is visualized using ArcGIS Dashboards, providing interactive and real-time insights into sensor readings.