cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/c4nr-js03
title: Crimean Radio Amateurs – Travelers

description: The concept of “radio travelers” is not familiar to many. These people have all the qualities of travelers: the desire to visit interesting, sometimes hard-to-reach places with an unusual landscape, nature, mountains, sea. Secondly, and this is the main thing: having reached the goal, they continue traveling, but already on the radio amateur air! To do this, participants install antennas, connect amateur radio HF and VHF equipment to them and conduct two-way radio communications. There are quite a lot of people willing to conduct communications with such radio stations. Especially if the radio traveler works within the framework of some amateur radio diploma program. The most popular programs in Russia are: RDA – Russian Districts Award, aimed at conducting and confirming radio communications with the largest number of conventional regions of Russia; RFF – Russian flora and fauna, RCFA – castles and fortresses of Russia, RLHA – lighthouses of Russia, RAZA – anomalous zones of Russia, etc. The article notes active Crimean participants – amateurs of radio travels, and names the equipment they use. Photos from 1956–2001 are provided.
DOI: 10.15468/dl.ur23v9
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dicyema hadrum",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004927-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xqzfrr
title: Occurrence Download

description: A dataset containing 1808 records in GBIF matching the query:
SELECT
 '540' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey 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 decimalLatitude &gt;= 56.135291543055025
 AND decimalLatitude &lt;= 61.2993700571118
 AND decimalLongitude &gt;= -79.10424340471731
 AND decimalLongitude &lt;= -64.759591695172
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 1808 records were derived from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004923-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kergyh
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eriocaulon koernickianum"
 ]
}

 The dataset includes 122 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004928-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ncgvw
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dicyema helocephalum",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004931-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/zdpg-rp59
title: "full scale of iMOPSE and a synthesised dataset"

description: "This presents a custom-synthesized dataset for the Multi-Skill Resource-Constrained Project Scheduling Problem (MSRCPSP), designed to support the evaluation of heuristic optimization frameworks. The dataset follows standard MSRCPSP instance-generation rules and includes different scale project configurations (e.g. 5 tasks, 6 multi-skill resources, 3 skill types) with detailed constraints: precedence relations, resource skill proficiencies, and task-skill requirements. Each entry specifies task durations, resource salaries, and skill-qualification mappings, ensuring feasibility for scheduling solutions."
DOI: 10.15468/dl.q2h5am
title: Occurrence Download

description: A dataset containing 3280 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Balanidae, Serpulidae, Watersiporidae, Styelidae, Pennariidae, Mytilidae, Teredinidae, Ulvaceae, Caulerpaceae, Bougainvilliidae, Syllidae, Hydractiniidae, Varunidae, Bolinopsidae)",
 "Geometry POLYGON ((33.925781 30.297018, 30.849609 30.221102, 36.738281 17.978733, 42.539063 11.867351, 46.054688 9.362353000000001, 53.613281 12.297068, 64.6875 21.616579, 66.269531 25.403585, 65.302734 29.993002, 50.976563 32.398516, 33.925781 30.297018))"
 ]
}

 The dataset includes 3280 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004934-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13623697
title: Spatiotemporal high-resolution (daily, 1km) ground-level ozone (O3) dataset across China from 2000 to present

description: We developed a full-coverage, high-resolution estimation model using the XGBoost algorithm to generate daily ground-level ozone concentration data at a 1-km spatial resolution, with satellite LST serving as the primary predictor. Tested on 2019 samples from China, our model demonstrated strong predictive accuracy, achieving an R² of 0.91 and an RMSE of 13.51 μg/m³ through 10-fold cross-validation. It effectively captured short-term local variations in ozone levels. We then applied this method to estimate long-term spatiotemporal high-resolution ozone concentrations from 2000 to 2020. The 21-yr monthly data and 2019 daily are archieved in NetCDF format in Version 1. The daily data in 2020-2022 is available on Version 2.

We used the same method to generate daily, 1-km O3 across China during 20203-2024 and archieved here. The random 10-fold cross-validation results at the daily scale are shown in the table below:

   


 
sample_size
R2
Slope
RMSE
MAE
Intercept


2023
603960
0.93
0.92
10.81
7.80
7.86


2024
600142
0.94
0.93
10.57
7.58
7.66




If you want to use this dataset, please cite the following publication. 

--He, Q., Cao, J., Saide, P. E., Ye, T., & Wang, W. (2024). Unraveling the Influence of Satellite-Observed Land Surface Temperature on High-Resolution Mapping of Ground-Level Ozone Using Interpretable Machine Learning. Environmental Science & Technology. [url]

--He, Q., Cao, J., Saide, P.E., Ye, T., Wang, W., Zhang, M. and Huang, J., 2025. Evaluating spatiotemporal variations and exposure risk of ground-level ozone concentrations across China from 2000 to 2020 using high-resolution satellite-derived data. Atmospheric Chemistry and Physics, 25(13), pp.6663-6677.[url]

 

We are going to archive the daily dataset between 2000 to 2020 and it will be published here! If you want to use the daily data now, please contact us via qqhe@whut.edu.cn.

 

We also share other atmopsheric reconstruction datasets:

For full-coverage, 1-km, AOD data in China, please go to harvard dataverse. This dataset was imputed based on MODIS MAIAC 1-km AOD retrievals.

For full-coverage, 1-km, CO2 data in China, please go to 10.5281/zenodo.10022904. This dataset was reconstructed based on OCO-2 XCO2 retrievals and machine learning algorithm.

For full-covereage, 1-km, PM2.5 data in China, please go to 10.5281/zenodo.8437234 or 10.5281/zenodo.8347128.

 

If you have any questions or comments, please feel free to contact us via qqhe@whut.edu.cn
DOI: 10.5281/zenodo.18365118
title: Spatiotemporal high-resolution (daily, 1km) ground-level ozone (O3) dataset across China from 2000 to present

description: We developed a full-coverage, high-resolution estimation model using the XGBoost algorithm to generate daily ground-level ozone concentration data at a 1-km spatial resolution, with satellite LST serving as the primary predictor. Tested on 2019 samples from China, our model demonstrated strong predictive accuracy, achieving an R² of 0.91 and an RMSE of 13.51 μg/m³ through 10-fold cross-validation. It effectively captured short-term local variations in ozone levels. We then applied this method to estimate long-term spatiotemporal high-resolution ozone concentrations from 2000 to 2020. The 21-yr monthly data and 2019 daily are archieved in NetCDF format in Version 1. The daily data in 2020-2022 is available on Version 2.

We used the same method to generate daily, 1-km O3 across China during 20203-2024 and archieved here. The random 10-fold cross-validation results at the daily scale are shown in the table below:

   


 
sample_size
R2
Slope
RMSE
MAE
Intercept


2023
603960
0.93
0.92
10.81
7.80
7.86


2024
600142
0.94
0.93
10.57
7.58
7.66




If you want to use this dataset, please cite the following publication. 

--He, Q., Cao, J., Saide, P. E., Ye, T., & Wang, W. (2024). Unraveling the Influence of Satellite-Observed Land Surface Temperature on High-Resolution Mapping of Ground-Level Ozone Using Interpretable Machine Learning. Environmental Science & Technology. [url]

--He, Q., Cao, J., Saide, P.E., Ye, T., Wang, W., Zhang, M. and Huang, J., 2025. Evaluating spatiotemporal variations and exposure risk of ground-level ozone concentrations across China from 2000 to 2020 using high-resolution satellite-derived data. Atmospheric Chemistry and Physics, 25(13), pp.6663-6677.[url]

 

We are going to archive the daily dataset between 2000 to 2020 and it will be published here! If you want to use the daily data now, please contact us via qqhe@whut.edu.cn.

 

We also share other atmopsheric reconstruction datasets:

For full-coverage, 1-km, AOD data in China, please go to harvard dataverse. This dataset was imputed based on MODIS MAIAC 1-km AOD retrievals.

For full-coverage, 1-km, CO2 data in China, please go to 10.5281/zenodo.10022904. This dataset was reconstructed based on OCO-2 XCO2 retrievals and machine learning algorithm.

For full-covereage, 1-km, PM2.5 data in China, please go to 10.5281/zenodo.8437234 or 10.5281/zenodo.8347128.

 

If you have any questions or comments, please feel free to contact us via qqhe@whut.edu.cn
DOI: 10.15468/dl.8meehj
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dicyema hypercephalum",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004935-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/q2vhxu
title: The first review of the subgenus Ganychorus Haliday, 1835 (Hymenoptera, Braconidae, Brachistinae) in China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Lu, Qian-Yu, Chai, Hong-Fei, Achterberg, Cornelis Van, Tang, Pu, Chen, Xue-Xin (2025): The first review of the subgenus Ganychorus Haliday, 1835 (Hymenoptera, Braconidae, Brachistinae) in China. Zootaxa 5575 (2): 201-250, DOI: 10.11646/zootaxa.5575.2.1, URL: https://doi.org/10.11646/zootaxa.5575.2.1AbstractA key to twenty-five Chinese species of the subgenus Ganychorus Haliday, 1835 is presented. Fifteen new species are proposed (B. (G.) aurigineus sp. nov., B. (G.) castaneus sp. nov., B. (G.) comatoides sp. nov., B. (G.) ejuncidus sp. nov., B. (G.) fuscifemur sp. nov., B. (G.) isoruficornis sp. nov., B. (G.) latiacis sp. nov., B. (G.) longitergitus sp. nov., B. (G.) mystrus sp. nov., B. (G.) scutellatus sp. nov., B. (G.) shanxiensis sp. nov., B. (G.) shennongjiaensis sp. nov., B. (G.) signiferoides sp. nov., B. (G.) tricolor sp. nov., B. (G.) xueshanensis sp. nov.) and three species (B. (G.) diversicornis (Nees, 1835), B. (G.) kangauzi Belokobylskij, 1995, and B. (G.) sutchanicus Belokobylskij, 1995) are newly recorded from China.
DOI: 10.25946/24938946
title: Preregistration nursing students’ motivation to communicate for safety and their lived experience of using graded assertiveness to speak-up during work integrated learning

description: RHD Masters project in two independent projects an integrated literature review and a research project. That explores preregistration nursing students’ motivation to communicate for safety and their lived experience of using graded assertiveness to speak-up during work integrated learning.
DOI: 10.25946/24938946.v1
title: Preregistration nursing students’ motivation to communicate for safety and their lived experience of using graded assertiveness to speak-up during work integrated learning

description: RHD Masters project in two independent projects an integrated literature review and a research project. That explores preregistration nursing students’ motivation to communicate for safety and their lived experience of using graded assertiveness to speak-up during work integrated learning.
DOI: 10.15468/dl.pdksuw
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dicyema irinoense",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004936-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p9fy9x
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hygrophila stricta"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004937-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5tu244
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dicyema tosaense",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004938-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tbmykg
title: Occurrence Download

description: A dataset containing 247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Amaranthus fimbriatus",
 "Year 2000-2026"
 ]
}

 The dataset includes 247 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004939-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uqdv6j
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dicyema japonicum",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004940-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jdacp3
title: Occurrence Download

description: A dataset containing 14926 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Marine biological observation data from coastal and offshore surveys around New Zealand"
 ]
}

 The dataset includes 14926 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004941-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ubkrnb
title: Occurrence Download

description: A dataset containing 1920 records in GBIF matching the query:
SELECT
 '541' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey 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 decimalLatitude &gt;= 56.135291543055025
 AND decimalLatitude &lt;= 61.2993700571118
 AND decimalLongitude &gt;= -71.19381906424559
 AND decimalLongitude &lt;= -57.564081506819555
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 1920 records were derived from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004932-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tx7g6q
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dicyema koshidai",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004943-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pcxnpf
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dicyema leiocephalum",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004944-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qtrjey
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dicyema lycidoeceum",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004946-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q8xwhu
title: Occurrence Download

description: A dataset containing 615 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Uzbekistan",
 "TaxonKey is Caprifoliaceae"
 ]
}

 The dataset includes 615 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004947-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vf62gt
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dicyema misakiense",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004948-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dv4eb7
title: Occurrence Download

description: A dataset containing 95930 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Occurrence evidence)",
 "Country is Korea, Republic of",
 "DatasetKey is one of (iNaturalist Research-grade Observations, 2024_naturing_observation_all_13970, 2024_naturing_observation_all_9020)",
 "OccurrenceStatus is Present",
 "TaxonKey is Arthropoda",
 "Year 2016-2025"
 ]
}

 The dataset includes 95930 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004942-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3awfre
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dicyema oligomerum",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004949-260126135527185/datasets/export for details.