4 datasets found
  1. M

    Palma, Spain Metro Area Population | Historical Data | Chart | 1950-2025

    • macrotrends.net
    csv
    Updated Oct 31, 2025
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    MACROTRENDS (2025). Palma, Spain Metro Area Population | Historical Data | Chart | 1950-2025 [Dataset]. https://www.macrotrends.net/datasets/global-metrics/cities/22556/palma/population
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    csvAvailable download formats
    Dataset updated
    Oct 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1950 - Nov 10, 2025
    Area covered
    Spain
    Description

    Historical dataset of population level and growth rate for the Palma, Spain metro area from 1950 to 2025.

  2. f

    Estimated demographic parameters of the Red kite population of the island of...

    • datasetcatalog.nlm.nih.gov
    Updated Nov 14, 2012
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    Tavecchia, Giacomo; Navarro, Antoni Muñoz; Tenan, Simone; Adrover, Jaume; Sergio, Fabrizio (2012). Estimated demographic parameters of the Red kite population of the island of Mallorca (Spain). [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001167911
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    Dataset updated
    Nov 14, 2012
    Authors
    Tavecchia, Giacomo; Navarro, Antoni Muñoz; Tenan, Simone; Adrover, Jaume; Sergio, Fabrizio
    Area covered
    Majorca, Spain
    Description

    Estimated demographic parameters of the Red kite population of the island of Mallorca (Spain).

  3. Z

    Dataset. Associations Between Severity of Depression, Lifestyle Patterns,...

    • data-staging.niaid.nih.gov
    Updated Jan 27, 2025
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    Oliván-Blázquez, Bárbara; Aguilar-Latorre, Alejandra (2025). Dataset. Associations Between Severity of Depression, Lifestyle Patterns, and Personal Factors Related to Health Behavior: Secondary Data Analysis From a Randomized Controlled Trial [Dataset]. https://data-staging.niaid.nih.gov/resources?id=zenodo_14748710
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    Dataset updated
    Jan 27, 2025
    Dataset provided by
    Universidad de Zaragoza
    Authors
    Oliván-Blázquez, Bárbara; Aguilar-Latorre, Alejandra
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Dataset from Aguilar-Latorre, A., Serrano-Ripoll, M. J., Oliván-Blázquez, B., Gervilla, E., & Navarro, C. (2022). Associations Between Severity of Depression, Lifestyle Patterns, and Personal Factors Related to Health Behavior: Secondary Data Analysis From a Randomized Controlled Trial. Frontiers in psychology, 13, 856139. https://doi.org/10.3389/fpsyg.2022.856139

    Background: Depression is a prevalent condition that has a significant impact on psychosocial functioning and quality of life. The onset and persistence of depression have been linked to a variety of biological and psychosocial variables. Many of these variables are associated with specific lifestyle characteristics, such as physical activity, diet, and sleep patterns. Some psychosocial determinants have an impact on people’ health-related behavior change. These include personal factors such as sense of coherence, patient activation, health literacy, self-efficacy, and procrastination. This study aims to analyze the association between the severity of depression, lifestyle patterns, and personal factors related to health behavior. It also aims to analyze whether personal factors moderate the relationship between lifestyles and depression.

    Methods: This study is a secondary data analysis (SDA) of baseline data collected at the start of a randomized controlled trial (RCT). A sample of 226 patients with subclinical, mild, or moderate depression from primary healthcare centers in two sites in Spain (Zaragoza and Mallorca) was used, and descriptive, bivariate, multivariate, and moderation analyses were performed. Depression was the primary outcome, measured by Beck II Self-Applied Depression Inventory. Lifestyle variables such as physical exercise, adherence to Mediterranean diet and sleep quality, social support, and personal factors such as self-efficacy, patient activation in their own health, sense of coherence, health literacy, and procrastination were considered secondary outcomes.

    Results: Low sense of coherence (β = −0.172; p < 0.001), poor sleep quality (β = 0.179; p = 0.008), low patient activation (β = −0.119; p = 0.019), and sedentarism (more minutes seated per day; β = 0.003; p = 0.025) are predictors of having more depressive symptoms. Moderation analyses were not significant.

    Discussion: Lifestyle and personal factors are related to depressive symptomatology. Our findings reveal that sense of coherence, patient’s activation level, sedentarism, and sleep quality are associated with depression. Further research is needed regarding adherence to Mediterranean diet, minutes walking per week and the interrelationship between lifestyles, personal factors, and depression.

  4. u

    Data from: Pollinator surveys of two populations located in the North and...

    • portalinvestigacio.uib.cat
    Updated 2022
    + more versions
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    Cortes, Ivan; Cortes, Ivan (2022). Pollinator surveys of two populations located in the North and South of Mallorca (Balearic Islands, Spain) in 2021 from May to July focused on Eryngium maritimum pollinators [Dataset]. https://portalinvestigacio.uib.cat/documentos/668fc423b9e7c03b01bd4d1e
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    Dataset updated
    2022
    Authors
    Cortes, Ivan; Cortes, Ivan
    Area covered
    Majorca, Balearic Islands, Spain
    Description

    The aim of this study is to analyse the role played by E. maritimum in the dune pollination network of the Balearic Islands, where there is an intense anthropogenic impact in its habitat. For this purpose, two populations located in the North and South of Mallorca were chosen, in which diurnal transects were carried out to observe and capture pollinators on 15 plant species during the anthesis period of E. maritimum. The flowering period of 10 plant species flowering at the same period than E. maritimum was analysed to identify periods of competition First sampling area was located in Son Serra de Marina (SS, 39.7309N, 3.2382E), in the North of the island. We carried out three 50m linear transects along the seashore. Transects were randomly located at a minimum of 100 m from each other in order to enhance the chances of a fair sampling of most of the flora. In both areas, vegetation, and so transects, followed a clear sequence from the seashore inland. Areas were sampled for 10 weeks, from the beginning of E. maritimum flowering in the first week of June until the second week of July, plus two weeks extra (one after and one before) in order two observe pollinator diversity variation. Surveys took place between 08:00–18:00h under favourable weather conditions. A pollinator survey involved an observer slowly walking (40 min) along a transect and recording only those insects that contacted the plant's reproductive structures while actively searching for pollen and/or nectar. The dataset indicates each observation in a single row. Population, hour, transect, pollinator and plant taxonomical information, if the pollinator was captured, photographed or if it visited multiple species is indicated.

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MACROTRENDS (2025). Palma, Spain Metro Area Population | Historical Data | Chart | 1950-2025 [Dataset]. https://www.macrotrends.net/datasets/global-metrics/cities/22556/palma/population

Palma, Spain Metro Area Population | Historical Data | Chart | 1950-2025

Palma, Spain Metro Area Population | Historical Data | Chart | 1950-2025

Explore at:
csvAvailable download formats
Dataset updated
Oct 31, 2025
Dataset authored and provided by
MACROTRENDS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Dec 1, 1950 - Nov 10, 2025
Area covered
Spain
Description

Historical dataset of population level and growth rate for the Palma, Spain metro area from 1950 to 2025.

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