cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14588184
title: Atmospheric visibility measurements at Hartheim Forest Research Site (DE-Har) from 2024-01-01 to 2024-12-31 [L2]

description: Quality controlled and gap-filled continuous atmospheric visibility data (Meteorological Observable Range MOR) measured above the forest canopy on a tower at Hartheim Forest Research Site (ICOS Associate Ecosystem Site DE-Har, UFR Code: HARTHM, 7.59814ºE, 47.93391ºN, 201 m) using an a forward scatter system (CS125, Present Weather and Visibility sensor, Campbell Scientific Inc.) operated 20 m above ground level.



Quality controlled atmospheric visibility data are available and aggregated at 10min, 30min, hourly, daily, monthly and yearly resolution for the year 2024.

Average, minimum and maximum visibility are provided on hourly, daily, monthly and annual scales.

Hours and days with at least one minute of a visibility of less than 20, 10, 4, 2, 1, 0.5 and 0.2 km based on the WMO classes are provided on daily, monthly and annual scales. Can be used to determine frequency of fog conditions.

Hours and days with at least one minute of a visibility of greater than 50 km are provided on daily, monthly and annual scales.

Maximum visibility output by the CS125 is 75 km, so a value of 75 km means greater or equal 75 km. Averaged visibility accounts for values greater than 75 km with 75 km.

Detailed information on gap-filled data is provided.

Note: All times are provided in UTC, not local time.


For more details read `HARTHM_2024_Visibility_MetaData.txt`.

Version 1.1

Now contains also data at 10 min resolution.
description: COPYRIGHT



Creative Commons Attribution 4.0 International. Copyright Albert-Ludwigs-Universität Freiburg, Professur für Umweltmeteorologie, Werthmannstrasse 10, Freiburg, Germany.


CREATOR

This work was created by the University of Freiburg, Germany.

ATTRIBUTION

The site is operated as part of the Integrated Carbon Observation System (ICOS).

Instruments and sensors in the dataset were operated by the Chair of Environmental Meteorology, University of Freiburg, Germany.

DISCLAIMER

The use of the work is at the user's own risk. The authors and/or the involved institutions, accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The author and/or the involved institutions are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Hartheim Forest Research Site

DE-Har in the ICOS Carbon Portal
DOI: 10.25345/c56h4d42s
title: MassIVE MSV000100699 - Ketogenic diet prevents obesity-associated pancreatic cancer independent of weight loss and induces pancreatic metabolic reprogramming
title: Pancreatic ductal adenocarcinoma (PDAC) is an aggressive cancer for which obesity is a known risk factor due to metabolic dysregulation and inflammation. The ketogenic diet (KD) alters metabolism and has been evaluated in non-obese PDAC but not in obesity-associated PDAC using genetically engineered mouse models (GEMMs). Using PDAC GEMMs subjected to diet-induced obesity or low-fat control diets, we show that a KD prevented tumor progression in obese PDAC independent of weight loss, an effect not observed in non-obese settings. This KD-specific delay of obesity-associated PDAC was associated with pancreatic metabolic pathways supporting non-glucose energy production, and ketone treatment of obese PDAC organoids recapitulated some of these metabolic changes. Together, these findings suggest potential benefits of a KD in preventing obesity-associated PDAC.
DOI: 10.34740/kaggle/dsv/14722468
title: Formula 1 Race Prediction Dataset (1950-2017)
DOI: 10.5281/zenodo.18474005
title: CULTURAL AND MORAL PRINCIPLES AND CRITERIA OF ECOLOGICAL RELATIONS TO NATURE

description: The article reveals the socio-philosophical essence of cultural and moral principles and criteria of ecological relations to nature. The interrelation of national and universal ecological and moral values in the context of global environmental problems is analyzed. The study substantiates the role of spiritual and moral norms in regulating relations in the "nature-society-human" system. The significance of the value system in the formation of ecological culture is shown. Mechanisms for the practical implementation of ecological and moral norms in the context of Uzbek society are proposed. The issues of strengthening the role of the mahalla institute, mass media and civil society actors in environmental education are studied. The author has developed institutional foundations for the development of ecological culture.
DOI: 10.5281/zenodo.18474006
title: CULTURAL AND MORAL PRINCIPLES AND CRITERIA OF ECOLOGICAL RELATIONS TO NATURE

description: The article reveals the socio-philosophical essence of cultural and moral principles and criteria of ecological relations to nature. The interrelation of national and universal ecological and moral values in the context of global environmental problems is analyzed. The study substantiates the role of spiritual and moral norms in regulating relations in the "nature-society-human" system. The significance of the value system in the formation of ecological culture is shown. Mechanisms for the practical implementation of ecological and moral norms in the context of Uzbek society are proposed. The issues of strengthening the role of the mahalla institute, mass media and civil society actors in environmental education are studied. The author has developed institutional foundations for the development of ecological culture.
DOI: 10.7944/w37h3k
title: Sequoyah National Wildlife Refuge waterfowl land cover and habitat classification using SPOT-5 imagery

description: Developing effective habitat conservation and management strategies. The relationship between available habitat and waterfowl numbers obtained from aerial survey transects is not well studied. To determine these relationships, multispectral SPOT-5 satellite imagery acquired for Sequoyah National Wildlife Refuge close to the time of waterfowl surveys was used to map habitat conditions. Robust Random Forest classification trees were used to model 16 land cover types using 416 reference locations collected in the field or derived from aerial photos close to or during waterfowl survey dates. The normalized difference vegetation index (NDVI), normalized difference water index (NDWI) and a simple ratio (SR) of red and near infrared bands were used to enhance classification accuracy for key habitat areas and abundance of water. Terrain variables such as slope, solar illumination and cosine transformed aspect derived from a digital elevation model (DEM) were also used to enhance habitat classification. Random Forest (RF) models were also compared to support vector machines (SVM) and cforest (CF) conditional inference trees. We used error matrices and the Kappa agreement statistic (K) to compare model results from each classifier. Results indicated that a tuned RF classifier showed better performance (K=0.73) than SVM (K=0.65) and unbiased cforest trees (K=0.63). Overall class agreement between similar RF and cforest models, designed to reduce predictor variable selection bias, was also relatively low (K=0.47). A final tuned RF model was selected resulting in 75% accuracy overall and was used to map habitat types for the refuge and surrounding landscape. We found that elevation and minimum noise fraction (MNF) bands were the most important predictor variables. MNF bands can help to reduce the number of correlated variables entering into a classification model when a larger number of correlated spectral bands are used. Similar forest types such as riverine, bottomland hardwood, and floodplain forest showed the greatest misclassification error. Overall, the RF model and SPOT-5 leaf-off imagery generated accurate land cover data for assessing habitat conditions during waterfowl surveys..
DOI: 10.25919/01nw-sd59
title: Parkes observations for project P630 semester 2011OCTS_03

description: We propose to carry out the most ambitious and comprehensive all-sky survey for pulsars and transient sources to date. Using the 20cm multibeam and a new digital filterbank array this survey will create a petabyte digital record of the sky that can be data mined in the future and used to search for relativistic binary and millisecond pulsars, RRATs, and extragalactic radio bursts. The survey should discover 100s of new millisecond and normal pulsars and help define the lower limit to pulsar periods, test theories of relativistic gravity, find transients and provide pulsars for gravitational wave detection.
DOI: 10.5281/zenodo.18450880
title: Matryoshka Multimodal Dataset for Cultural Heritage Authentication
title: МАТРЕШКА

description: A novel multimodal dataset consisting of 168 unique physical Matryoshka nesting doll (MND) sets, digitized for preservation and authentication research. The collection includes 27,387 labeled frames extracted from high-definition turntable videos.
DOI: 10.5281/zenodo.18450881
title: Matryoshka Multimodal Dataset for Cultural Heritage Authentication
title: МАТРЕШКА

description: A novel multimodal dataset consisting of 168 unique physical Matryoshka nesting doll (MND) sets, digitized for preservation and authentication research. The collection includes 27,387 labeled frames extracted from high-definition turntable videos.
DOI: 10.5281/zenodo.18473838
title: Atmospheric visibility measurements at Hartheim Forest Research Site (DE-Har) from 2025-01-01 to 2025-12-31 [L2]

description: Quality controlled and gap-filled continuous atmospheric visibility data (Meteorological Observable Range MOR) measured above the forest canopy on a tower at Hartheim Forest Research Site (ICOS Associate Ecosystem Site DE-Har, UFR Code: HARTHM, 7.59814ºE, 47.93391ºN, 201 m) using an a forward scatter system (CS125, Present Weather and Visibility sensor, Campbell Scientific Inc.) operated 20 m above ground level.



Quality controlled atmospheric visibility data are available and aggregated at 10min, 30min, hourly, daily, monthly and yearly resolution for the year 2025.

Average, minimum and maximum visibility are provided on hourly, daily, monthly and annual scales.

Hours and days with at least one minute of a visibility of less than 20, 10, 4, 2, 1, 0.5 and 0.2 km based on the WMO classes are provided on daily, monthly and annual scales. Can be used to determine frequency of fog conditions.

Hours and days with at least one minute of a visibility of greater than 50 km are provided on daily, monthly and annual scales.

Maximum visibility output by the CS125 is 75 km, so a value of 75 km means greater or equal 75 km. Averaged visibility accounts for values greater than 75 km with 75 km.

Detailed information on gap-filled data is provided.

Note: All times are provided in UTC, not local time.


For more details read `HARTHM_2025_Visibility_MetaData.txt`.
description: COPYRIGHT



Creative Commons Attribution 4.0 International. Copyright Albert-Ludwigs-Universität Freiburg, Professur für Umweltmeteorologie, Werthmannstrasse 10, Freiburg, Germany.


CREATOR

This work was created by the University of Freiburg, Germany.

ATTRIBUTION

The site is operated as part of the Integrated Carbon Observation System (ICOS).

Instruments and sensors in the dataset were operated by the Chair of Environmental Meteorology, University of Freiburg, Germany.

DISCLAIMER

The use of the work is at the user's own risk. The authors and/or the involved institutions, accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The author and/or the involved institutions are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Hartheim Forest Research Site

DE-Har in the ICOS Carbon Portal
DOI: 10.5281/zenodo.18473837
title: Atmospheric visibility measurements at Hartheim Forest Research Site (DE-Har) from 2025-01-01 to 2025-12-31 [L2]

description: Quality controlled and gap-filled continuous atmospheric visibility data (Meteorological Observable Range MOR) measured above the forest canopy on a tower at Hartheim Forest Research Site (ICOS Associate Ecosystem Site DE-Har, UFR Code: HARTHM, 7.59814ºE, 47.93391ºN, 201 m) using an a forward scatter system (CS125, Present Weather and Visibility sensor, Campbell Scientific Inc.) operated 20 m above ground level.



Quality controlled atmospheric visibility data are available and aggregated at 10min, 30min, hourly, daily, monthly and yearly resolution for the year 2025.

Average, minimum and maximum visibility are provided on hourly, daily, monthly and annual scales.

Hours and days with at least one minute of a visibility of less than 20, 10, 4, 2, 1, 0.5 and 0.2 km based on the WMO classes are provided on daily, monthly and annual scales. Can be used to determine frequency of fog conditions.

Hours and days with at least one minute of a visibility of greater than 50 km are provided on daily, monthly and annual scales.

Maximum visibility output by the CS125 is 75 km, so a value of 75 km means greater or equal 75 km. Averaged visibility accounts for values greater than 75 km with 75 km.

Detailed information on gap-filled data is provided.

Note: All times are provided in UTC, not local time.


For more details read `HARTHM_2025_Visibility_MetaData.txt`.
description: COPYRIGHT



Creative Commons Attribution 4.0 International. Copyright Albert-Ludwigs-Universität Freiburg, Professur für Umweltmeteorologie, Werthmannstrasse 10, Freiburg, Germany.


CREATOR

This work was created by the University of Freiburg, Germany.

ATTRIBUTION

The site is operated as part of the Integrated Carbon Observation System (ICOS).

Instruments and sensors in the dataset were operated by the Chair of Environmental Meteorology, University of Freiburg, Germany.

DISCLAIMER

The use of the work is at the user's own risk. The authors and/or the involved institutions, accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The author and/or the involved institutions are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Hartheim Forest Research Site

DE-Har in the ICOS Carbon Portal
DOI: 10.5281/zenodo.13924181
title: Atmospheric visibility measurements at Hartheim Forest Research Site (DE-Har) from 2020-01-01 to 2020-12-31 [L2]

description: Quality controlled and gap-filled continuous atmospheric visibility data (Meteorological Observable Range MOR) measured above the forest canopy on a tower at Hartheim Forest Research Site (ICOS Associate Ecosyste Site DE-Har, UFR Code: HARTHM, 7.59814ºE, 47.93391ºN, 201 m) using an a forward scatter system (CS125, Present Weather and Visibility sensor, Campbell Scientific Inc.) operated 20 m above ground level.



Quality controlled atmospheric visibility data are available and aggregated at 10min, 30min, hourly, daily, monthly and yearly resolution for the year 2020.

Average, minimum and maximum visibility are provided on hourly, daily, monthly and annual scales.

Hours and days with at least one minute of a visibility of less than 20, 10, 4, 2, 1, 0.5 and 0.2 km based on the WMO classes are provided on daily, monthly and annual scales. Can be used to determine frequency of fog conditions.

Hours and days with at least one minute of a visibility of greter than 50 km based on the WMO classes are provided on daily, monthly and annual scales.

Maximum visibility output by the CS125 is 75 km, so a value of 75 km means greater or equal 75 km. Averaged visibility accounts for values greater than 75 km with 75 km.

Detailed information on gap-filled data is provided.

Note: All times are provided in UTC, not local time.


For more details read `HARTHM_2020_Visibility_MetaData.txt`.
description: COPYRIGHT



Creative Commons Attribution 4.0 International. Copyright Albert-Ludwigs-Universität Freiburg, Professur für Umweltmeteorologie, Werthmannstrasse 10, Freiburg, Germany.


CREATOR

This work was created by the University of Freiburg, Germany.

ATTRIBUTION

The site is operated as part of the Integrated Carbon Observation System (ICOS).

Instruments and sensors in the dataset were operated by the Chair of Environmental Meteorology, University of Freiburg, Germany.

DISCLAIMER

The use of the work is at the user's own risk. The authors and/or the involved institutions, accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The author and/or the involved institutions are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Hartheim Forest Research Site

DE-Har in the ICOS Carbon Portal
DOI: 10.5281/zenodo.13924182
title: Atmospheric visibility measurements at Hartheim Forest Research Site (DE-Har) from 2020-01-01 to 2020-12-31 [L2]

description: Quality controlled and gap-filled continuous atmospheric visibility data (Meteorological Observable Range MOR) measured above the forest canopy on a tower at Hartheim Forest Research Site (ICOS Associate Ecosyste Site DE-Har, UFR Code: HARTHM, 7.59814ºE, 47.93391ºN, 201 m) using an a forward scatter system (CS125, Present Weather and Visibility sensor, Campbell Scientific Inc.) operated 20 m above ground level.



Quality controlled atmospheric visibility data are available and aggregated at 10min, 30min, hourly, daily, monthly and yearly resolution for the year 2020.

Average, minimum and maximum visibility are provided on hourly, daily, monthly and annual scales.

Hours and days with at least one minute of a visibility of less than 20, 10, 4, 2, 1, 0.5 and 0.2 km based on the WMO classes are provided on daily, monthly and annual scales. Can be used to determine frequency of fog conditions.

Hours and days with at least one minute of a visibility of greter than 50 km based on the WMO classes are provided on daily, monthly and annual scales.

Maximum visibility output by the CS125 is 75 km, so a value of 75 km means greater or equal 75 km. Averaged visibility accounts for values greater than 75 km with 75 km.

Detailed information on gap-filled data is provided.

Note: All times are provided in UTC, not local time.


For more details read `HARTHM_2020_Visibility_MetaData.txt`.
description: COPYRIGHT



Creative Commons Attribution 4.0 International. Copyright Albert-Ludwigs-Universität Freiburg, Professur für Umweltmeteorologie, Werthmannstrasse 10, Freiburg, Germany.


CREATOR

This work was created by the University of Freiburg, Germany.

ATTRIBUTION

The site is operated as part of the Integrated Carbon Observation System (ICOS).

Instruments and sensors in the dataset were operated by the Chair of Environmental Meteorology, University of Freiburg, Germany.

DISCLAIMER

The use of the work is at the user's own risk. The authors and/or the involved institutions, accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The author and/or the involved institutions are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Hartheim Forest Research Site

DE-Har in the ICOS Carbon Portal
DOI: 10.15468/dl.nv45jj
title: Occurrence Download

description: A dataset containing 118580 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zenaida meloda"
 ]
}

 The dataset includes 118580 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010236-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34943/b7d4aab5-3fe5-4fff-b35c-b492f1f0477a
title: ROPOS Remotely Operated Vehicle Camera Deployed 2008-06-17

description: The Insite Pacific Zeus Plus HD Camera (zeus017) was deployed on 2008-06-17 on ROPOS. This Remotely Operated Vehicle is operated by Canadian Scientific Submersible Facility (CSSF). This device is a Remotely Operated Vehicle Camera. Remotely Operated Vehicle (ROV) video cameras are used for many purposes. Operators can use ROV cameras for instrument operations, navigation, and maintenance procedures. They can also monitor the composition, abundance, behaviour, and interactions of organisms, and investigate the characteristics of seafloor geology. ROV camera video may include deck camera footage, which is not derived from the ROV camera. It was deployed on a mobile platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/881d3fea-a78f-409b-be8a-c5803451eeba
title: ROPOS Remotely Operated Vehicle Camera Deployed 2011-09-09

description: The Insite Pacific Zeus Plus HD Camera (zeus017) was deployed on 2011-09-09 on ROPOS. This Remotely Operated Vehicle is operated by Canadian Scientific Submersible Facility (CSSF). This device is a Remotely Operated Vehicle Camera. Remotely Operated Vehicle (ROV) video cameras are used for many purposes. Operators can use ROV cameras for instrument operations, navigation, and maintenance procedures. They can also monitor the composition, abundance, behaviour, and interactions of organisms, and investigate the characteristics of seafloor geology. ROV camera video may include deck camera footage, which is not derived from the ROV camera. It was deployed on a mobile platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5281/zenodo.18474025
title: DEVELOPING SANOGENIC THINKING AMONG ADOLESCENTS: PEDAGOGICAL AND PSYCHOLOGICAL FOUNDATIONS

description: This article analyzes the theoretical and practical aspects of developing sanogenic thinking in adolescents. Sanogenic thinking is defined as a conscious approach aimed at preserving, strengthening health, and fostering a healthy lifestyle. The study examines the importance of pedagogical approaches in shaping adolescents’ attitudes towards healthy living, enhancing their psychological resilience, and improving stress tolerance. The article presents effective methods for developing sanogenic thinking, including psychological trainings, group activities, interactive teaching methods, and individualized approaches. The results indicate that systematic and coherent pedagogical interventions can help adolescents appreciate health, develop healthy lifestyle skills, and strengthen their ability to make stable decisions in challenging situations.