78 datasets found
  1. p

    Trends in Diversity Score (2022-2023): The Nature School Of Central Indiana...

    • publicschoolreview.com
    Updated Feb 9, 2025
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    Public School Review (2025). Trends in Diversity Score (2022-2023): The Nature School Of Central Indiana vs. Indiana vs. The Nature School Of Central Indiana School District [Dataset]. https://www.publicschoolreview.com/the-nature-school-of-central-indiana-profile
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    Dataset updated
    Feb 9, 2025
    Dataset authored and provided by
    Public School Review
    License

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

    Area covered
    Indiana
    Description

    This dataset tracks annual diversity score from 2022 to 2023 for The Nature School Of Central Indiana vs. Indiana and The Nature School Of Central Indiana School District

  2. Ninth-Graders' Connection with Nature 2019

    • services.fsd.tuni.fi
    • datacatalogue.cessda.eu
    zip
    Updated Jan 9, 2025
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    Kulha, Saija; Huttunen, Sari (2025). Ninth-Graders' Connection with Nature 2019 [Dataset]. http://doi.org/10.60686/t-fsd3402
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    zipAvailable download formats
    Dataset updated
    Jan 9, 2025
    Dataset provided by
    Finnish Social Science Data Archive
    Authors
    Kulha, Saija; Huttunen, Sari
    Description

    This survey charted Finnish ninth-graders' connectedness to nature. The data for this dataset were collected as part of research that charts ninth-graders' connection with nature through a questionnaire (the Nature Relatedness Scale) and writings on happiness. The responses in this quantitative dataset can be connected to the qualitative dataset FSD3403 Ninth-Graders' Views on Happiness 2019, which is also archived at FSD. The responses can be connected to the texts in the qualitative dataset with a unique personal code number that was given to each respondent. The qualitative dataset containing the written texts is only available in Finnish. The ninth-graders' connection to nature was measured with the Finnish translation of the 21-item Nature Relatedness Scale. A Nature Relatedness Score, indicative of the strength of the respondent's connection to nature, can be calculated based on the responses to the scale. The dataset includes the respondents' Nature Relatedness Scores, calculated by the researcher, as well as both the original and reversed numerical scoring scale for the reverse scored items (2, 3, 10, 11, 13, 14, 15 and 18) in different variables (e.g. original numerical scoring scale in variable q2: 1 = strongly disagree and 5 = strongly agree, reversed numerical scoring scale in variable k_q2: 1 = strongly agree and 5 = strongly disagree). The survey examined the ninth-graders' personal relationship with nature with questions on, for example, whether they enjoyed being outdoors even in unpleasant weather, thought that their connection to nature and the environment was part of their spirituality, and thought their relationship with nature was an important part of who they were. Environmental concern was surveyed with questions relating to, for example, whether the respondents thought that humans have the right to use natural resources in any way they want, always thought about how their actions affect the environment, and thought that conservation is unnecessary because nature is strong enough to recover from any human impact. Furthermore, the respondents' affiliation with animals was charted with questions focusing on, for example, whether they thought that some species are just meant to die out or become extinct, took notice of wildlife wherever they were, and thought a lot about the suffering of animals. Additionally, the survey included a question on how satisfied the ninth-graders were in their life in general on a scale from 4 to 10 (in school grades). The data do not contain any background variables.

  3. p

    Trends in Diversity Score (2007-2023): Nature Coast Middle School vs....

    • publicschoolreview.com
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    Public School Review, Trends in Diversity Score (2007-2023): Nature Coast Middle School vs. Florida vs. Levy School District [Dataset]. https://www.publicschoolreview.com/nature-coast-middle-school-profile
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    Dataset authored and provided by
    Public School Review
    License

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

    Description

    This dataset tracks annual diversity score from 2007 to 2023 for Nature Coast Middle School vs. Florida and Levy School District

  4. r

    Nature Communications Impact Factor 2024-2025 - ResearchHelpDesk

    • researchhelpdesk.org
    Updated Feb 23, 2022
    + more versions
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    Research Help Desk (2022). Nature Communications Impact Factor 2024-2025 - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/impact-factor-if/551/nature-communications
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    Dataset updated
    Feb 23, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Nature Communications Impact Factor 2024-2025 - ResearchHelpDesk - Nature Communications is an open-access journal that publishes high-quality research from all areas of the natural sciences. Papers published by the journal represent important advances of significance to specialists within each field. Nature Communications is open access, multidisciplinary journal dedicated to publishing high-quality research in all areas of the biological, health, physical, chemical, and Earth sciences. Papers published by the journal aim to represent important advances of significance to specialists within each field. We are committed to providing an efficient service for both authors and readers. Our team of independent editors makes rapid and fair publication decisions. Prompt dissemination of accepted papers to a wide readership and beyond is achieved through a program of continuous online publication. Article and journal metrics Article metrics such as number of downloads, citations and online attention are available from each article page and provide an overview of the attention received by a paper. The 2018 journal metrics for Nature Communications are as follows: 2-year Impact Factor: 11.878 5-year Impact Factor: 13.811 Immediacy Index: 2.107 Eigenfactor® score: 1.10329 Article Influence Score: 5.402 2-year Median: 8 Nature Communications Abstract & Indexing DOAJ, MEDLINE, Web of Science, Scopus and Google Scholar. Nature Communications started in the year 2010 and has been growing ever since. Nature Communications doesn’t have a fixed publishing frequency. Their publishing frequency is continuous and upon acceptance. They have a very strict acceptance rate of 7.7%. They get over 50,000+ submissions every year. Nature Communications Article-processing charges Nature Communications is an open-access journal. To publish in Nature Communications, authors are required to pay an article-processing charge (APC). The APC for all published papers is as follows, plus VAT or local taxes where applicable: £3,790 (UK) $5,380 (The Americas, China, and Japan) €4,380 (Europe and rest of world) Nature communications ranking Title Type SJR H index Total Docs. (2018) Total Docs. (3years) Total Refs. (2018) Total Cites (3years) Citable Docs. (3years) Cites / Doc. (2years) Ref. / Doc. (2018) Nature Communications journal 5.992 Q1 248 5664 11692 273530 141425 10983 11.80 48.29 Nature communications details Country: United Kingdom H Index: 248 Subject Area and Category: Biochemistry, Genetics, and Molecular Biology, Biochemistry, Genetics and Molecular Biology (miscellaneous), Chemistry, Chemistry (miscellaneous), Physics and Astronomy, Physics and Astronomy (miscellaneous) Publisher: Nature Publishing Group Publication Type: Journals ISSN: 20411723 Coverage: 2010-ongoing

  5. h

    FPSv2-scores-natural-VQA-not-FPSv2

    • huggingface.co
    Updated Jul 13, 2024
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    Haoli Yin (2024). FPSv2-scores-natural-VQA-not-FPSv2 [Dataset]. https://huggingface.co/datasets/Nano1337/FPSv2-scores-natural-VQA-not-FPSv2
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 13, 2024
    Authors
    Haoli Yin
    Description

    Nano1337/FPSv2-scores-natural-VQA-not-FPSv2 dataset hosted on Hugging Face and contributed by the HF Datasets community

  6. Result of the principal component analysis with orthogonal rotation for the...

    • figshare.com
    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Matthias Winfried Kleespies; Paul Wilhelm Dierkes (2023). Result of the principal component analysis with orthogonal rotation for the six CNS items (Mayer & Frantz, 2004). [Dataset]. http://doi.org/10.1371/journal.pone.0242004.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Matthias Winfried Kleespies; Paul Wilhelm Dierkes
    License

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

    Description

    Result of the principal component analysis with orthogonal rotation for the six CNS items (Mayer & Frantz, 2004).

  7. p

    Trends in Diversity Score (2009-2023): Nature Hill Intermediate vs....

    • publicschoolreview.com
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    Public School Review, Trends in Diversity Score (2009-2023): Nature Hill Intermediate vs. Wisconsin vs. Oconomowoc Area School District [Dataset]. https://www.publicschoolreview.com/nature-hill-intermediate-profile
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    Dataset authored and provided by
    Public School Review
    License

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

    Area covered
    Oconomowoc, Wisconsin
    Description

    This dataset tracks annual diversity score from 2009 to 2023 for Nature Hill Intermediate vs. Wisconsin and Oconomowoc Area School District

  8. o

    Global News Popularity Insights Datset

    • opendatabay.com
    .undefined
    Updated Jul 4, 2025
    + more versions
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    Datasimple (2025). Global News Popularity Insights Datset [Dataset]. https://www.opendatabay.com/data/ai-ml/b036c2ea-2b40-4afe-8dc2-1c56302ffdbc
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    .undefinedAvailable download formats
    Dataset updated
    Jul 4, 2025
    Dataset authored and provided by
    Datasimple
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Social Media and Networking
    Description

    This dataset captures the popularity of news articles across various social media platforms, providing valuable insights into how news content performs online [1, 2]. It is a subset of a larger dataset, specifically designed for analysing engagement and reach of news items [1, 2]. The data includes key details about news articles and their final popularity scores on Facebook, Google+, and LinkedIn [1-3]. It serves as an excellent resource for understanding social media trends and the dissemination of news [2].

    Columns

    The dataset features the following columns: * IDLink: A unique identifier for each news item [1, 2]. * Title: The title of the news item as it appeared from the official media sources [1, 2]. * Headline: The headline of the news item, also from official media sources [1, 2]. * Source: The original news outlet that published the news item [1, 2]. * Topic: The query topic used to obtain the news items from official media sources [1, 2]. * PublishDate: The date and time when the news item was published [1, 2]. * Facebook: The final popularity score of the news item on Facebook [2, 3]. * GooglePlus: The final popularity score of the news item on Google+ [2, 3]. * LinkedIn: The final popularity score of the news item on LinkedIn [2, 3]. This subset of the data is specifically noted to be missing the 'SentimentTitle' and 'SentimentHeadline' columns that are present in the full dataset [1].

    Distribution

    This dataset comprises approximately 37,000 news articles [1]. While exact row counts for files are not specified beyond this total, the dataset format is typically CSV [4]. * Unique Values: * IDLink: 37,288 unique values [3]. * Title: 32,366 unique values [3]. * Headline: 34,634 unique values [3]. * Source Distribution: * Bloomberg: 2% [3]. * Reuters: 1% [3]. * Other: 97% (from 35,990 sources) [3]. * Topic Distribution: * Economy: 36% [3]. * Obama: 31% [3]. * Other: 33% (from 12,165 topics) [3]. * Time Range Sample (2016): * 03/29 - 04/03: 2,239 items [5]. * 04/03 - 04/08: 2,020 items [5]. * 06/17 - 06/22: 1,650 items [5]. * 06/27 - 07/02: 2,024 items [5]. The data spans from 2016-03-29 to 2016-07-07 [6].

    Usage

    This dataset is ideal for: * Analysing news popularity trends across different social media platforms [2]. * Studying the impact of news content on online engagement [2]. * Exploratory data analysis of news consumption patterns [7]. * Understanding the spread of information in digital environments. * Developing models to predict social media reach for news articles. * Insights into media outlets' influence and topic relevance [1, 3].

    Coverage

    The dataset covers an approximate 8-month period, between November 2015 and July 2016 [2]. The specific subset provided covers 29 March 2016 to 07 July 2016 [6]. It includes news items on four primary topics: economy, Microsoft, Obama, and Palestine [2], with distribution details for 'economy' and 'obama' [3]. The region of coverage is global [8].

    License

    CCO

    Who Can Use It

    • Data Scientists and Analysts: For exploratory data analysis, feature engineering, and model building related to news popularity and social media engagement [7].
    • Researchers: Studying media studies, social network analysis, and public opinion.
    • Marketing Professionals: To understand content virality and optimise news dissemination strategies.
    • Journalists and Media Organisations: For insights into their content performance and audience engagement on social platforms.

    Dataset Name Suggestions

    • Social Media News Popularity
    • Online News Engagement Metrics
    • Digital News Dissemination Data
    • News Virality on Social Platforms
    • Global News Popularity Insights

    Attributes

    Original Data Source: News Popularity in Multiple Social Media Platforms

  9. n

    Survey data on wellbeing and nature connectedness before and after taking...

    • data-search.nerc.ac.uk
    • hosted-metadata.bgs.ac.uk
    • +1more
    Updated Oct 9, 2022
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    (2022). Survey data on wellbeing and nature connectedness before and after taking part in nature-based activities in 2020, UK [Dataset]. https://data-search.nerc.ac.uk/geonetwork/srv/search?orgName=University%20of%20Derby
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    Dataset updated
    Oct 9, 2022
    Description

    Surveys of wellbeing, nature connectedness and pro-nature conservation behaviour scores from adult human participants before and after taking part in nature-based activities, including citizen science, in 2020 are presented. Participants were recruited via a public campaign and were randomly allocated into groups: citizen science, noticing nature (three good things in nature activity), combined citizen science and three good things in nature, and a wait list control. They were invited to take part in activities up to five times in the following eight days. Online surveys of wellbeing and nature connectedness were undertaken at people’s sign up to the project and after the eight days of activities. Demographic characteristics and people’s engagement with the project and responses to the pathways to nature connectedness were recorded after the eight days of activities. The research was carried out to investigate concern about the negative impacts of COVID-19 movement restrictions and social distancing on people's wellbeing and mental health. Research was funded through NERC grant NE/V009656/1 - COVID 19 - Does nature-based citizen science enhance well-being and mitigate negative effects of social isolation? Full details about this dataset can be found at https://doi.org/10.5285/56d4b055-c66b-42b9-8962-a47dfcf3b8b0

  10. h

    CLOVE-scores-natural-agreed

    • huggingface.co
    Updated Jul 27, 2024
    + more versions
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    Haoli Yin (2024). CLOVE-scores-natural-agreed [Dataset]. https://huggingface.co/datasets/Nano1337/CLOVE-scores-natural-agreed
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 27, 2024
    Authors
    Haoli Yin
    Description

    Nano1337/CLOVE-scores-natural-agreed dataset hosted on Hugging Face and contributed by the HF Datasets community

  11. r

    Nature Communications Abstract & Indexing - ResearchHelpDesk

    • researchhelpdesk.org
    Updated Apr 19, 2022
    + more versions
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    Research Help Desk (2022). Nature Communications Abstract & Indexing - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/abstract-and-indexing/551/nature-communications
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    Dataset updated
    Apr 19, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Nature Communications Abstract & Indexing - ResearchHelpDesk - Nature Communications is an open-access journal that publishes high-quality research from all areas of the natural sciences. Papers published by the journal represent important advances of significance to specialists within each field. Nature Communications is open access, multidisciplinary journal dedicated to publishing high-quality research in all areas of the biological, health, physical, chemical, and Earth sciences. Papers published by the journal aim to represent important advances of significance to specialists within each field. We are committed to providing an efficient service for both authors and readers. Our team of independent editors makes rapid and fair publication decisions. Prompt dissemination of accepted papers to a wide readership and beyond is achieved through a program of continuous online publication. Article and journal metrics Article metrics such as number of downloads, citations and online attention are available from each article page and provide an overview of the attention received by a paper. The 2018 journal metrics for Nature Communications are as follows: 2-year Impact Factor: 11.878 5-year Impact Factor: 13.811 Immediacy Index: 2.107 Eigenfactor® score: 1.10329 Article Influence Score: 5.402 2-year Median: 8 Nature Communications Abstract & Indexing DOAJ, MEDLINE, Web of Science, Scopus and Google Scholar. Nature Communications started in the year 2010 and has been growing ever since. Nature Communications doesn’t have a fixed publishing frequency. Their publishing frequency is continuous and upon acceptance. They have a very strict acceptance rate of 7.7%. They get over 50,000+ submissions every year. Nature Communications Article-processing charges Nature Communications is an open-access journal. To publish in Nature Communications, authors are required to pay an article-processing charge (APC). The APC for all published papers is as follows, plus VAT or local taxes where applicable: £3,790 (UK) $5,380 (The Americas, China, and Japan) €4,380 (Europe and rest of world) Nature communications ranking Title Type SJR H index Total Docs. (2018) Total Docs. (3years) Total Refs. (2018) Total Cites (3years) Citable Docs. (3years) Cites / Doc. (2years) Ref. / Doc. (2018) Nature Communications journal 5.992 Q1 248 5664 11692 273530 141425 10983 11.80 48.29 Nature communications details Country: United Kingdom H Index: 248 Subject Area and Category: Biochemistry, Genetics, and Molecular Biology, Biochemistry, Genetics and Molecular Biology (miscellaneous), Chemistry, Chemistry (miscellaneous), Physics and Astronomy, Physics and Astronomy (miscellaneous) Publisher: Nature Publishing Group Publication Type: Journals ISSN: 20411723 Coverage: 2010-ongoing

  12. w

    Dataset of news title and polarity sentiment score of news where keywords...

    • workwithdata.com
    Updated May 16, 2025
    + more versions
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    Work With Data (2025). Dataset of news title and polarity sentiment score of news where keywords equals Changing the nature of masculinity : a task for social work? and section equals science [Dataset]. https://www.workwithdata.com/datasets/news?col=news_link%2Cnews_title_matched%2Cpolarity_sentiment_prediction&f=2&fcol0=page_name&fcol1=section&fop0=%3D&fop1=%3D&fval0=Changing+the+nature+of+masculinity+%3A+a+task+for+social+work%3F&fval1=science
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    Dataset updated
    May 16, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    This dataset is about news. It has 5 rows and is filtered where the keywords includes Changing the nature of masculinity : a task for social work? and the section is science. It features 3 columns: news link, and polarity sentiment score.

  13. f

    Age, gender, and connection to nature (CNI score) predict multiple...

    • plos.figshare.com
    • figshare.com
    xlsx
    Updated Jun 1, 2023
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    Ryan J. Keith; Lisa M. Given; John M. Martin; Dieter F. Hochuli (2023). Age, gender, and connection to nature (CNI score) predict multiple environmental behaviors. [Dataset]. http://doi.org/10.1371/journal.pone.0255421.s023
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    xlsxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Ryan J. Keith; Lisa M. Given; John M. Martin; Dieter F. Hochuli
    License

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

    Description

    A single asterisk denotes significance at the p < 0.05 level; two asterisks at p < 0.01; three asterisks at p < 0.001. (XLSX)

  14. f

    Result of the principal component analysis with oblique rotation for the...

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
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    Matthias Winfried Kleespies; Paul Wilhelm Dierkes (2023). Result of the principal component analysis with oblique rotation for the seven RV items (RV scale from Klain et al. 2017). [Dataset]. http://doi.org/10.1371/journal.pone.0242004.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Matthias Winfried Kleespies; Paul Wilhelm Dierkes
    License

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

    Description

    Result of the principal component analysis with oblique rotation for the seven RV items (RV scale from Klain et al. 2017).

  15. Food natural resources and resilience score MENA 2021, by country

    • statista.com
    Updated Sep 26, 2020
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    Statista (2020). Food natural resources and resilience score MENA 2021, by country [Dataset]. https://www.statista.com/statistics/1168635/mena-food-natural-resources-and-resilience-score-by-country/
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    Dataset updated
    Sep 26, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    MENA
    Description

    The best food resource and resilience score in the Middle East and North Africa region (MENA) was of Turkey at **** percent, followed by Jordan with a score of **** percent in that year. MENA food security breakdown Natural resources and resilience of food are one of the foundations of evaluation of the overall food security performance score, along with food availability, quality and safety, and inexpensiveness. The highest overall food security performance belonged to Qatar as it ranked first in affordability, and quality and safety. Conflict and lower rural transformation have been linked with higher food insecurities. Higher levels of rural transformation include the advancement of the health care system and the development of the education system, which are both connected to better standards of living and higher income levels. The Gulf Cooperation Council region had the lowest level of food insecurity within the MENA region. GCC food industry trends The per capita income has been increasing in the GCC countries, which increased the consumption of food, along with the growing population and the boost in the tourism industry. Although food demand is increasing, the types of food demanded is changing with heightened health awareness. The gulf countries suffered from dietary health issues that led to obesity, high BMI, and cholesterol levels, which has led to a spike in the share of fatalities caused by unfavorable diets. GCC countries are highly dependent on food imports with their food import volume three times larger than their production volumes. However, government efforts such as food security initiatives, have been implemented to reduce imports.

  16. p

    Trends in Diversity Score (2021-2023): Monticello Nature Based Education vs....

    • publicschoolreview.com
    Updated Feb 9, 2025
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    Public School Review (2025). Trends in Diversity Score (2021-2023): Monticello Nature Based Education vs. Minnesota vs. Monticello Public School District [Dataset]. https://www.publicschoolreview.com/monticello-nature-based-education-profile
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    Dataset updated
    Feb 9, 2025
    Dataset authored and provided by
    Public School Review
    License

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

    Area covered
    Monticello Public School District
    Description

    This dataset tracks annual diversity score from 2021 to 2023 for Monticello Nature Based Education vs. Minnesota and Monticello Public School District

  17. g

    Basic Quality Nature (BKN) Intensive

    • gimi9.com
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    Basic Quality Nature (BKN) Intensive [Dataset]. https://gimi9.com/dataset/eu_6c43a257-d4b5-49d8-ac28-1eef71e926a3/
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    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This file contains an assessment of the quality conditions or conditions for the biodiversity/nature of all kilometre lofts in the Province of Overijssel. This is done according to the system of Basic Quality Nature (BKN). It shows the minimum quality of areas needed to ensure that general species remain common and/or become common in areas where nature is not the leading function. This set zooms in on the scenario "areas with high-productive, sustainable agriculture and/or intensive buildings". The situation has been mapped per landscape element and per kilometre hutch by means of a geographical analysis. A comparison between the presence of landscape elements and land use and the minimum amount required determines to what extent the kilometre loft meets the Basic Quality Nature. For this analysis, the Landscape Elements Registration System (LASREG) and the Basic Parcel Registration System (BRP) were used as sources. The landscape features present are divided into the landscape features: wood wall/rising greenery, flowery grassland, grain field, streams and ditches, swamp and bank, pond/ven. For each characteristic, the extent to which the current situation complies with the normative quantity has been calculated. This condition is indicated by a percentage per characteristic. By adding all percentages of all conditions together, an overall score is created per landscape type and per scenario. The lowest score on a condition is 0 percent, the highest score is 100 percent. The score intensive is a conclusion of presence of the necessary conditions together. This varies per landscape type from four to six conditions. By intensively comparing the score with the maximum score to be achieved (standard goal), it becomes clear to what extent a kilometre loft meets the standard score (target result) on the basis of current conditions.

  18. h

    relaion2b-natural

    • huggingface.co
    Updated Jul 8, 2025
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    Johannes Roth (2025). relaion2b-natural [Dataset]. https://huggingface.co/datasets/andropar/relaion2b-natural
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    Dataset updated
    Jul 8, 2025
    Authors
    Johannes Roth
    License

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

    Description

    relaion2B-en-research-safe natural scores

    This dataset contains naturalness scores for images in RELAION2B-en-safe. The scores predict how "natural" or "photographic" an image looks (vs artificial/rendered content). Scores range from 0-1, where higher values = more natural. Quick stats:

    ~2M+ image URLs from RELAION2B Only URLs that were also in LAION-2B-en have scores File format: Snappy-compressed Parquet

      Dataset Structure
    

    Column Description

    url Image… See the full description on the dataset page: https://huggingface.co/datasets/andropar/relaion2b-natural.

  19. Data from: Who knows, who cares? Untangling ecological knowledge and nature...

    • zenodo.org
    • datadryad.org
    bin, csv
    Updated Jun 4, 2022
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    Katarzyna Mikolajczak; Katarzyna Mikolajczak; Alexander Lees; Jos Barlow; Frazer Sinclair; Oriana Trindade de Almeida; Agnis Souza; Luke Parry; Alexander Lees; Jos Barlow; Frazer Sinclair; Oriana Trindade de Almeida; Agnis Souza; Luke Parry (2022). Who knows, who cares? Untangling ecological knowledge and nature connection among Amazonian colonist farmers [Dataset]. http://doi.org/10.5061/dryad.08kprr520
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    csv, binAvailable download formats
    Dataset updated
    Jun 4, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Katarzyna Mikolajczak; Katarzyna Mikolajczak; Alexander Lees; Jos Barlow; Frazer Sinclair; Oriana Trindade de Almeida; Agnis Souza; Luke Parry; Alexander Lees; Jos Barlow; Frazer Sinclair; Oriana Trindade de Almeida; Agnis Souza; Luke Parry
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Conservationists often assume that connection with and caring about nature's wellbeing is strongly linked to ecological knowledge. Existing evidence on the link between ecological knowledge and psychological nature connection is mixed, geographically limited to countries in the Global North, and does not scrutinize potential differences in determinants of ecological knowledge and nature connection.

    We investigate the relationship between psychological nature connection and ecological knowledge of local bird species and assess their associations with potential drivers, including access to, contact with, and reliance on nature and socio-demographic characteristics. Our study is carried among a novel participant population of colonist farmers living along a major deforestation frontier in the Brazilian Amazon.

    Our study context has high conservation relevance and provides an ideal setting to assess the extent to which conservation psychology's insights from the Global North hold true elsewhere. Tropical farm-forest frontiers suffer from intense habitat and biodiversity loss, and farmers with migrant origins are important yet rarely studied conservation stakeholders. Importantly, farmer's experiences of nature are likely to vary considerably due to the wide range of socio-demographic, economic, geographic, and cultural diversity.

    Interviewees scored highly on two indices of nature connection, but scores were higher among older people and those with greater contact with nature. Bird identification knowledge was generally low to moderate, and higher among men and younger people. Species more frequently recognised were regionally common, larger-bodied, or associated with non-forest habitats. 5. Ecological knowledge of birds and nature connection were not correlated, and they did not have any predictors in common. Our results indicate that colonist farmers are capable of forming strong connections with nature, even if they rarely possess detailed knowledge of local forest biodiversity. Considering the complex and apparently context-dependent relationship between knowing and caring about nature, it is unwise to assume that changing one would automatically affect the other.

  20. Countries with most natural beauty spots 2022

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Countries with most natural beauty spots 2022 [Dataset]. https://www.statista.com/statistics/445237/leading-countries-natural-beauty/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2022
    Area covered
    World
    Description

    A 2022 study evaluated countries worldwide based on their natural beauty spots, assigning each destination a score of up to ** points. The ***** countries topping the list – with Indonesia ranking first – accrued an average score of above ***** points.

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Public School Review (2025). Trends in Diversity Score (2022-2023): The Nature School Of Central Indiana vs. Indiana vs. The Nature School Of Central Indiana School District [Dataset]. https://www.publicschoolreview.com/the-nature-school-of-central-indiana-profile

Trends in Diversity Score (2022-2023): The Nature School Of Central Indiana vs. Indiana vs. The Nature School Of Central Indiana School District

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Dataset updated
Feb 9, 2025
Dataset authored and provided by
Public School Review
License

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

Area covered
Indiana
Description

This dataset tracks annual diversity score from 2022 to 2023 for The Nature School Of Central Indiana vs. Indiana and The Nature School Of Central Indiana School District

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