cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7rynqy
title: Occurrence Download

description: A dataset containing 3030379 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 41.89415215079384
 AND decimallatitude &lt;= 46.479780028101516
 AND decimallongitude &gt;= -88.12157328514692
 AND decimallongitude &lt;= -77.9229717807129
 AND GBIF_Within('POLYGON ((-77.922972 41.894152, -77.922972 46.479780, -88.121573 46.479780, -88.121573 41.894152, -77.922972 41.894152))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 3030379 records were derived from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002129-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18536707
title: PERSONALIZED LEARNING IN THE AGE OF ARTIFICIAL INTELLIGENCE: A NEW EDUCATIONAL PARADIGM

description: This paper examines the role of artificial intelligence in advancing personalized learning and establishing a new educational paradigm. The primary purpose of the study is to explore how AI technologies support student-centered learning by adapting instructional content to individual needs, preferences, and learning paces. A qualitative secondary research methodology was employed, involving a systematic analysis of peer-reviewed journals, conference papers, and reputable reports published between 2023 and 2025. The study synthesizes existing literature on adaptive learning systems, intelligent tutoring systems, learning analytics, and large language models used in educational contexts. The findings indicate that AI-driven personalized learning significantly enhances student engagement, motivation, and academic performance across various educational levels, particularly in higher education. AI technologies enable real-time feedback, identification of learning gaps, and customized learning pathways, thereby improving instructional effectiveness and efficiency. However, the study also identifies key challenges, including data privacy concerns, algorithmic bias, unequal access to technology, and the need for adequate teacher training and ethical governance frameworks. In conclusion, the paper argues that AI-enabled personalized learning represents a transformative shift from traditional one-size-fits-all education toward adaptive and inclusive learning environments. While AI offers substantial benefits, its successful implementation requires responsible integration, human oversight, and continuous research to ensure equity, ethics, and long-term educational impact.
DOI: 10.5281/zenodo.18536708
title: PERSONALIZED LEARNING IN THE AGE OF ARTIFICIAL INTELLIGENCE: A NEW EDUCATIONAL PARADIGM

description: This paper examines the role of artificial intelligence in advancing personalized learning and establishing a new educational paradigm. The primary purpose of the study is to explore how AI technologies support student-centered learning by adapting instructional content to individual needs, preferences, and learning paces. A qualitative secondary research methodology was employed, involving a systematic analysis of peer-reviewed journals, conference papers, and reputable reports published between 2023 and 2025. The study synthesizes existing literature on adaptive learning systems, intelligent tutoring systems, learning analytics, and large language models used in educational contexts. The findings indicate that AI-driven personalized learning significantly enhances student engagement, motivation, and academic performance across various educational levels, particularly in higher education. AI technologies enable real-time feedback, identification of learning gaps, and customized learning pathways, thereby improving instructional effectiveness and efficiency. However, the study also identifies key challenges, including data privacy concerns, algorithmic bias, unequal access to technology, and the need for adequate teacher training and ethical governance frameworks. In conclusion, the paper argues that AI-enabled personalized learning represents a transformative shift from traditional one-size-fits-all education toward adaptive and inclusive learning environments. While AI offers substantial benefits, its successful implementation requires responsible integration, human oversight, and continuous research to ensure equity, ethics, and long-term educational impact.
DOI: 10.13140/rg.2.2.15592.53763
title: Ozturk (2026). Orthographic Similarity of Cognates in BNC-COCA. Data
DOI: 10.5281/zenodo.18525358
title: Air temperature measurements from Automatic Weather Station (AWS) at Freiburg – Chemiehochhaus (FRCHEM) from 2025-01-01 to 2025-12-31 [L2]

description: Quality controlled and gap-filled continuous air temperature data from the urban rooftop weather station at Freiburg-Chemiehochhaus (FRCHEM, 7.8486ºE, 48.0011ºN, 323.5 m) using an actively ventillated and shielded psychrometer operated 2m above roof level.



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

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

Characteristic hours and days are reported on daily, monthly and annual scales (e.g. summer days with T_max > 25ºC, hot days with T_max > 30º, desert days with T_max > 35ºC, tropical nights with T_min > 20°, frost days with T_min < 0ºC and ice days with T_max < 0ºC, all based on 00:00 - 24:00 UTC).

Detailed information on gap-filled data is provided.

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


For more details read `FRCHEM_2025_AirTemperature_MetaData.txt`.

Data between 2025-05-29T03:01:00Z and 2025-06-26T09:18:00Z from the actively ventilated psychrometer is not available due to a mechnaical failure of the fan. Instead data from a passively ventilated and screend backup-sensor (CS215) at the same station (FRCHEM) and same height is shown for the time period.
description: COPYRIGHT



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


CREATOR

This work is owned by the University of Freiburg.

ATTRIBUTION

The [creation and] curation of this work has been supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005) and the University of Freiburg.

DISCLAIMER

The use of the work is at the user's own risk. The authors, the University of Freiburg, and/or the European Research Council 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 authors, the University of Freiburg and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.
DOI: 10.5281/zenodo.18525357
title: Air temperature measurements from Automatic Weather Station (AWS) at Freiburg – Chemiehochhaus (FRCHEM) from 2025-01-01 to 2025-12-31 [L2]

description: Quality controlled and gap-filled continuous air temperature data from the urban rooftop weather station at Freiburg-Chemiehochhaus (FRCHEM, 7.8486ºE, 48.0011ºN, 323.5 m) using an actively ventillated and shielded psychrometer operated 2m above roof level.



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

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

Characteristic hours and days are reported on daily, monthly and annual scales (e.g. summer days with T_max > 25ºC, hot days with T_max > 30º, desert days with T_max > 35ºC, tropical nights with T_min > 20°, frost days with T_min < 0ºC and ice days with T_max < 0ºC, all based on 00:00 - 24:00 UTC).

Detailed information on gap-filled data is provided.

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


For more details read `FRCHEM_2025_AirTemperature_MetaData.txt`.

Data between 2025-05-29T03:01:00Z and 2025-06-26T09:18:00Z from the actively ventilated psychrometer is not available due to a mechnaical failure of the fan. Instead data from a passively ventilated and screend backup-sensor (CS215) at the same station (FRCHEM) and same height is shown for the time period.
description: COPYRIGHT



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


CREATOR

This work is owned by the University of Freiburg.

ATTRIBUTION

The [creation and] curation of this work has been supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005) and the University of Freiburg.

DISCLAIMER

The use of the work is at the user's own risk. The authors, the University of Freiburg, and/or the European Research Council 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 authors, the University of Freiburg and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.
DOI: 10.5281/zenodo.18525247
title: Precipitation measurements from Automatic Weather Station (AWS) at Freiburg – Chemiehochhaus (FRCHEM) from 2025-01-01 to 2025-12-31 [L2]

description: Quality controlled and gap-filled continuous precipitation measurements from the urban rooftop weather station at Freiburg-Chemiehochhaus (FRCHEM, 7.8486ºE, 48.0011ºN, 323.5 m) using a tipping bucket raingauge (SBS500 tipping bucket, Campbell Scientific Inc., Logan UT, USA, resolution 0.2 mm per tip) with internal heaters operated at roof level.



Quality controlled above-canopy precipitation data are available and aggregated at 10min, 30min, hourly, daily, monthly and yearly resolution for the year 2025.

Precipitation sums are provided on hourly, daily, monthly and annual scales.

Number of hours with precipitation >0.1 mm/hr, >1 mm/hr, >2.5 mm/hr, >5 mm/hr, >10 mm/hr, >20 mm/hr, and > 50 mm/hr provided on daily, monthly, and annual scale.

Number of days with precipitation >0.1 mm/day, >1 mm/day, >2.5 mm/day, >5 mm/day, >10 mm/day, >20 mm/day and >50 mm/day provided on monthly, and annual scale.

Precipitation does not distinguish between form (e.g. snow vs. rain)

Detailed information on gap-filled data is provided.

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


For more details read `FRCHEM_2025_Precipitation_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 is owned by the University of Freiburg.

ATTRIBUTION

The [creation and] curation of this work has been supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005) and the University of Freiburg.

DISCLAIMER

The use of the work is at the user's own risk. The authors, the University of Freiburg, and/or the European Research Council 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 authors, the University of Freiburg and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.
DOI: 10.5281/zenodo.18525246
title: Precipitation measurements from Automatic Weather Station (AWS) at Freiburg – Chemiehochhaus (FRCHEM) from 2025-01-01 to 2025-12-31 [L2]

description: Quality controlled and gap-filled continuous precipitation measurements from the urban rooftop weather station at Freiburg-Chemiehochhaus (FRCHEM, 7.8486ºE, 48.0011ºN, 323.5 m) using a tipping bucket raingauge (SBS500 tipping bucket, Campbell Scientific Inc., Logan UT, USA, resolution 0.2 mm per tip) with internal heaters operated at roof level.



Quality controlled above-canopy precipitation data are available and aggregated at 10min, 30min, hourly, daily, monthly and yearly resolution for the year 2025.

Precipitation sums are provided on hourly, daily, monthly and annual scales.

Number of hours with precipitation >0.1 mm/hr, >1 mm/hr, >2.5 mm/hr, >5 mm/hr, >10 mm/hr, >20 mm/hr, and > 50 mm/hr provided on daily, monthly, and annual scale.

Number of days with precipitation >0.1 mm/day, >1 mm/day, >2.5 mm/day, >5 mm/day, >10 mm/day, >20 mm/day and >50 mm/day provided on monthly, and annual scale.

Precipitation does not distinguish between form (e.g. snow vs. rain)

Detailed information on gap-filled data is provided.

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


For more details read `FRCHEM_2025_Precipitation_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 is owned by the University of Freiburg.

ATTRIBUTION

The [creation and] curation of this work has been supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005) and the University of Freiburg.

DISCLAIMER

The use of the work is at the user's own risk. The authors, the University of Freiburg, and/or the European Research Council 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 authors, the University of Freiburg and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.
DOI: 10.15468/dl.38qmjv
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Anabasis calcarea"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002142-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18536630
title: Synchrony and Maturation in loop design grown microbial metacommunities

description: This document is the R scripts from paper "Synchrony and Maturation in loop design grown microbial metacommunities". 

A long term experiment was conducted to investigate the degree of synchronization and stability of a highly diverse metacommunity grown in a continuous loop design for more than  3200  generations. We disrupted established synchrony by reducing and stopping mass transfer to study reassembly behavior after a disturbance. We investigated whether the same cell types would prevail in community dynamics if a community were restarted. This would show the impact of a metacommunity's early assembly history. Further the balance between deterministic and stochastic forces in synchronized and re-synchronized communities was of interest, as was the question of whether small stochastic changes within populations and communities can lead to large changes in community properties.
DOI: 10.5281/zenodo.18536629
title: Synchrony and Maturation in loop design grown microbial metacommunities

description: This document is the R scripts from paper "Synchrony and Maturation in loop design grown microbial metacommunities". 

A long term experiment was conducted to investigate the degree of synchronization and stability of a highly diverse metacommunity grown in a continuous loop design for more than  3200  generations. We disrupted established synchrony by reducing and stopping mass transfer to study reassembly behavior after a disturbance. We investigated whether the same cell types would prevail in community dynamics if a community were restarted. This would show the impact of a metacommunity's early assembly history. Further the balance between deterministic and stochastic forces in synchronized and re-synchronized communities was of interest, as was the question of whether small stochastic changes within populations and communities can lead to large changes in community properties.
DOI: 10.15468/dl.22ua7y
title: Occurrence Download

description: A dataset containing 375 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((124.58274 36.30844,129.38544 36.30844,129.38544 38.22870,124.58274 38.22870,124.58274 36.30844))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Apis cerana"
 ]
}

 The dataset includes 375 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002143-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17606766
title: Realizing Blume-Capel Degrees of Freedom with Toroidal Moments in a Ruby Artificial Spin Ice (dataset)

description: Data supporting "Realizing Blume-Capel Degrees of Freedom with Toroidal Moments in a Ruby Artificial Spin Ice" published in ACS Nano 20, 3423 (2025) https://pubs.acs.org/doi/10.1021/acsnano.5c13342
DOI: 10.5281/zenodo.17606767
title: Realizing Blume-Capel Degrees of Freedom with Toroidal Moments in a Ruby Artificial Spin Ice (dataset)

description: Data supporting "Realizing Blume-Capel Degrees of Freedom with Toroidal Moments in a Ruby Artificial Spin Ice" published in ACS Nano 20, 3423 (2025) https://pubs.acs.org/doi/10.1021/acsnano.5c13342
DOI: 10.15468/dl.sgukd9
title: Occurrence Download

description: A dataset containing 797 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Living Specimen, Material sample, Material citation, Human Observation)",
 "OccurrenceStatus is Present",
 "TaxonKey is Hipposideros armiger"
 ]
}

 The dataset includes 797 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002144-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18536737
title: Migration of Toluene Contaminants in Lens-Containing Media
DOI: 10.5281/zenodo.18536738
title: Migration of Toluene Contaminants in Lens-Containing Media
DOI: 10.15468/dl.x4h94b
title: Occurrence Download

description: A dataset containing 1078 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Living Specimen)",
 "OccurrenceStatus is Present",
 "TaxonKey is Hipposideros larvatus"
 ]
}

 The dataset includes 1078 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002146-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7nft3p
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ilex venulosa"
 ]
}

 The dataset includes 62 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002147-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ex69p
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Anabasis ebracteolata"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002148-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14780898
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.5281/zenodo.15172933
title: Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning

description: This is a dataset accompanying the publication "Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning".
DOI: 10.5281/zenodo.15172934
title: Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning

description: This is a dataset accompanying the publication "Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning".
DOI: 10.5281/zenodo.18536858
title: THE NEW UZBEKISTAN SYSTEM OF PHYSICAL EDUCATION AND SPORTS: REFORMS, PEDAGOGICAL APPROACHES, RECENT RESULTS AND FUTURE MILESTONES

description: This article is devoted to the pedagogical aspects of developing physical education and sports within the education system of Uzbekistan and analyzes recent reforms and the prospects outlined in the “Uzbekistan–2030” Strategy. The study examines mechanisms for engaging young people in mass sports through the President’s Five Important Initiatives, the “Five Initiatives Olympiad,” the Presidential Olympiad, and the Student League. Achievements recorded in 2025, including the expansion of sports participation to 15 million people, international sporting results, and the implementation of large-scale sports infrastructure projects, confirm the pedagogical effectiveness of ongoing reforms. The role of physical education and sports in overcoming hypodynamia and in fostering willpower, moral values, and spiritual development among young people is emphasized. The objectives set for 2026 are aimed at advancing inclusive pedagogical approaches in physical education. The article concludes with proposals at the community (mahalla) level focused on educating a healthy and well-rounded generation.