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                "en": "Contains measurement data of air temperature for the manuscript “Real-time measurements of micro-climatic temperature and relative humidity in the Finnish cities of Tampere, Helsinki and Rovaniemi” by Kühn et al. (in preparation) of 30 measurement stations in Helsinki.\n\nTechnical Info:\n\nNB:update on 1.7.2025: files \nHelsinki_202412.dat, \nHelsinki_202501.dat, \nHelsinki_202503_updated.dat and \nHelsinki_202506.dat added.\n\nThe measurements were conducted at a height of 3 m in the locations listed in Helsinki_Table1_New.txt during 12/2024-06/2025. Each measurement station consisted of three parts: a temperature and humidity sensor, a solar radiation shield, and an Internet of Things (IoT) device, which collected the measurement data and communicated them to a server via Long Range Wide Area Network (LoRaWAN). Temperature and relative humidity (RH) were measured by one integrated sensor, the Digital Matter I2C Temperature and Humidity Sensor [https://www.digitalmatter.com/wp-content/uploads/2020/09/I2C-Temperature-and-Humidity-Sensor-Datasheet.pdf] Within the sensor, the temperature and RH were measured using the Silicon Labs Si7021-A20 I2C Humidity and Temperature Sensor chip. The chip is factory calibrated and has maximum operating ranges of 0% to 100% RH and -40°C to +125°C temperature. The measurement accuracy for temperature is maximum ±0.4°C if the ambient temperature is between -10°C and 85°C. The measurement accuracy of the chip is maximum ±3% RH if the ambient RH is between 0% and 80%.\n\nThe Temperature and Humidity Sensor was protected by a radiation shield to minimize the influence of direct sunlight and thermal radiation on the measurements. The radiation shield (height 11.5 cm, radius 14 cm) was made of white plastic and consisted of 9 ventilated plates stacked in a cylindrical design allowing for adequate airflow while shielding the sensor from external radiation.\n\nQuality check\nThe temperature data was quality checked using a multi-step procedure. First, values were screened based on long-term climatological daily minimum and maximum temperatures derived from 10 km × 10 km resolution gridded temperature data for the Tampere region (Aalto et al., 2016). Measurements falling clearly outside the climatological range were removed. Subsequently, remaining values were filtered based on statistical properties of the measurements, using median and median absolute deviation (MAD) over short time intervals to identify and remove outliers. A final threshold based on deviations from the local median was applied to exclude any remaining extreme values.\n\nThe Local Climate Zones (LCZs) in Helsinki_Table1_New. have been defined for each measurement station following the Global LCZ data (Demuzere 2022a, Demuzere, et al. 2022b) based on the Local Climate Zone (LCZ) Classification system by Stewart and Oke (2012).\n\nTable Of Contents:\n\nThe descriptions of the measurement stations are in Helsinki_Table1_New.txt.\nColumns\n1. Station_code\n2. Station_id\n3. latitude\n4. longitude\n5. elevation above mean se alevel (m)\n6. LCZ_global_point (LCZ at the grid point nearest to the measurement station)\n7. LCZ_global_r200 (Mode of the LCZs within a 200-meter radius around the measurement station)\n\nThe data (hourly Temperature) of each the measurements are in ASCII (tabulator as separator) files Helsinki_YEAR.dat, with Celsius as Unit and missing value -999.\nColumns:\n1. Station_code\n2. Timestamp(YMDHH24) UTC\n3. Mean temperature of the previous hour\n4. Minimum temperature of the previous hour\n5. Maximum temperature of the previous hour\n6. Standard deviation of the temperature measurements during the previous hour\n7. Number of measurements during the previous hour (usually 12)\n\nReferences:\nAalto, J., Pirinen, P., & Jylhä, K. (2016). New gridded daily climatology of Finland: Permutation-based uncertainty estimates and temporal trends in climate. Journal of Geophysical Research: Atmospheres, 121(8), 3807–3823. https://doi.org/10.1002/2015JD024651\nStewart ID, Oke TR. Local Climate Zones for Urban Temperature Studies. Bull Am Meteorol Soc. 2012;93(12):1879-1900. doi:10.1175/BAMS-D-11-00019.1\nDemuzere, M., Kittner, J., Martilli, A., Mills, G., Moede, C., Stewart, I. D., van Vliet, J., and Bechtel, B. (2022a): A global map of local climate zones to support earth system modelling and urban-scale environmental science, Earth Syst. Sci. Data, 14, 3835-3873, https://doi.org/10.5194/essd-14-3835-2022.\nDemuzere, M., Kittner, J., Martilli, A., Mills, G., Moede, C., Stewart, I. D., van Vliet, J., and Bechtel, B. (2022b): Global map of Local Climate Zones. Zenodo. https://doi.org/10.5281/zenodo.6364593."
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                "en": "This collection contains excerpts from Soviet music and cultural journals and newspapers published between 1917 and 1932. Selected articles were part of the study, which analysed formation of Soviet music politics from a conceptual historical perspective. The collection does not contain publications which are already available in digitized form online or publication of which is prohibitied. If the publication is already available online, link to the relevant source is provided in the ReadMe file.\r\n\r\nThe data was collected in the summer of 2019 in the Russian National Library and the Russian Institute of Art History (RIII) by photographing articles relevant to the research task. Photographs were converted into PDF form. The data was analysed with the Atlas.ti software which allows making notes and coding the data. The published collection contains only the original articles in PDF form and not the analysis process or notes from the Atlas.ti.\r\n\r\nThe collection does not contain full issues or volumes of the publications but selected articles. Photographing, storing and naming of full issues would not have been possible due to the extent of the data. In addition, the collection of the libraries were not complete and some of the issues or volumes were missing in the library collections. The published data collection is therefore a diverse and rich yet an incomplete representation of the early Soviet music and art publications. If the data is reused, it is important to note the gaps in the original collection and the selection of articles for a specific research task.",
                "fi": "Kokoelma sisältää otteita Neuvostoliiton musiikki- ja kulttuurilehdistä vuodesta 1917 ulottuen 1930-luvun alkuun saakka. Artikkelit liittyvät tutkimukseen, jossa tarkasteltiin Neuvostoliiton musiikkipolitiikan muotoutumista käsitehistoriallisesta näkökulmasta. Aineisto ei sisällä tutkimuksessa hyödynnettyjä julkaisuja, jotka ovat jo valmiiksi saatavilla sähköisesti tai joiden tallentaminen oli erikseen kielletty. Mikäli aineisto on saatavilla vapaasti internetissä, aineistoon on annettu linkki ReadMe-tiedostossa.\r\n\r\nAineisto kerättiin kesällä 2019 Venäjän kansalliskirjaston ja Venäjän taiteiden historian instituutin (RIII) kokoelmista valokuvaamalla tutkimustehtävään liittyviä artikkeleita. Valokuvatut artikkelit muunnettiin PDF-muotoon. Analyysivaiheessa tiedostot vietiin Atlas.ti-ohjelmaan, jossa aineistosta tehtiin muistiinpanoja ja jossa hyödynnettiin ohjelman mahdollisuutta koodata aineistoja ja niiden sisältöjä. Julkaistu aineisto sisältää alkuperäisartikkeleita PDF-muodossa, mutta ei Atlas.ti:n analyysiprosessia tai sen muistiinpanoja.\r\n\r\nAineisto ei sisällä lehtien kokonaisia numeroita tai vuosikertoja, vaan valikoituja artikkeleita. Kokonaisten lehtien tai vuosikertojen kuvaaminen, tallentaminen ja nimeäminen olisi ollut mahdotonta toteuttaa aineiston laajuuden vuoksi. Kirjastojen kokoelmat eivät myöskään olleet täydellisiä, ja joidenkin lehtien numeroita tai vuosikertoja puuttui kokoelmista. Julkaistu aineistokokonaisuus on siten monipuolinen ja rikas edustaen varhaisen Neuvostoliiton musiikki- ja taidejulkaisujen kirjoa, mutta toisaalta epätäydellinen. Alkuperäiskokoelmien puutteet ja tallennettujen artikkeleiden valikoituminen tietyn tutkimustehtävän vuoksi on tärkeä tiedostaa, mikäli aineistoa hyödynnetään jatkotutkimuksissa."
            },
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                    "url": "http://www.yso.fi/onto/okm-tieteenala/ta6121",
                    "in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
                    "pref_label": {
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                    "url": "http://www.yso.fi/onto/okm-tieteenala/ta6131",
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                        "en": "Theatre, dance, music, other performing arts",
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                        "sv": "Teater, dans, musik, övrig scenkonst"
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                "en": "This dataset contains forest inventory data collected from a network of permanent sample plots across Finland at three time points: 1985-86, 1990-91, and 1995.\n The network was established in 1985-1986 in conjunction with the 8th National Forest Inventory (VMI). It originally consisted of approximately 3,000 permanent plots designed to monitor long-term changes in forest ecosystems and environmental conditions.\n The data was gathered using a systematic cluster sampling design that covers the entire country. The sampling strategy varies between two regions:\n - Southern Finland: Clusters of plots are arranged on a 16 km by 16 km grid. Each cluster contains four sample plots positioned along a south-to-north axis at 400-meter intervals.\n - Northern Finland (Lapland and Koillis-Suomi): The sampling grid is sparser, with clusters located on a 24 km (south-north) by 32 km (east-west) grid. Each northern cluster consists of three plots, also oriented south-to-north, with a spacing of 600 meters between them.\n The dataset is structured hierarchically into three levels for each measurement year:\n 1. Tree Data (lukupuu.csv): Contains measurements for individual trees, including species, diameter, height, age, quality, and any observed damage.\n 2. Plot Data (koeala.csv): Provides information about each sample plot, such as its unique identifier, geographic coordinates, and measurement dates.\n 3. Stand/Compartment Data (kuvio.csv): Describes the forest stand containing the plot, with variables for soil and site type, development class, and management history (e.g., drainage, fertilization).\nThe detailed field measurement protocols are documented in the manual Pysyvien koealojen 3. inventoinnin maastotyön ohjeet (1995).",
                "fi": "Tämä aineisto sisältää metsäinventointitietoja, jotka on kerätty Suomen pysyvien koealojen verkostosta kolmena ajankohtana: 1985–86, 1990–91 ja 1995.\nVerkosto perustettiin vuosina 1985–1986 valtakunnan metsien 8. inventoinnin (VMI) yhteydessä. Se koostui alun perin noin 3 000 pysyvästä koealasta, jotka oli suunniteltu metsäekosysteemien ja ympäristön tilan pitkäaikaismuutosten seurantaan.\nAineisto kerättiin systemaattisella ryväsotannalla, joka kattaa koko maan. Otantastrategia vaihtelee kahden alueen välillä:\n•\tEtelä-Suomi: Koealaryhmät sijaitsevat 16 km x 16 km:n hilassa. Jokainen ryhmä sisältää neljä koealaa, jotka on sijoitettu etelä-pohjoissuuntaiselle linjalle 400 metrin välein.\n•\tPohjois-Suomi (Lappi ja Koillis-Suomi): Otantahila on harvempi, ja ryhmät sijaitsevat 24 km (etelä-pohjoinen) x 32 km (itä-länsi) hilassa. Jokainen pohjoinen ryhmä koostuu kolmesta koealasta, jotka ovat myös etelä-pohjoissuunnassa 600 metrin välein.\nAineisto on rakenteeltaan hierarkkinen ja jaettu kolmeen tasoon kutakin mittausvuotta kohden:\n•\tPuutiedot (lukupuu.csv): Sisältää yksittäisten puiden mittaustietoja, kuten puulajin, läpimitan, pituuden, iän, laadun ja mahdolliset vauriot.\n•\tKoealatiedot (koeala.csv): Sisältää tietoja kustakin koealasta, kuten sen yksilöllisen tunnisteen, maantieteelliset koordinaatit ja mittauspäivämäärät.\n•\tKuvio-/metsikkötiedot (kuvio.csv): Kuvaa metsikköä, jolla koeala sijaitsee, sisältäen muuttujia maaperän ja kasvupaikan tyypistä, kehitysluokasta ja hoitohistoriasta (esim. ojitus, lannoitus).\nYksityiskohtaiset maastomittausohjeet on dokumentoitu oppaassa Pysyvien koealojen 3. inventoinnin maastotyön ohjeet (1995)."
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