cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29176409
title: N mineralization data

description: We combined field and laboratory analyses to assess how biocrusts influence N inputs, turnover, and shrub uptake in a representative semiarid shrubland dominated by <i>Artemisia ordosica</i> on the Chinese Loess Plateau. Our results showed that biocrusts significantly enhanced N fixation potential across 0–20 cm, as indicated by elevated <i>nifH</i> gene abundance of cyanobacteria (0–10 cm) and heterotrophic diazotrophs (10–20 cm). Biocrusts also increased soil inorganic N pools and accelerated net ammonification, nitrification, and N mineralization throughout the growing season, especially in summer, by increasing the supply of labile C and N substrates and enhancing N-cycling enzyme activities. These processes were strongly regulated by the interaction between soil moisture and temperature, with biocrusts amplifying their coupling effect. Moreover, biocrusts slightly reduced the temperature sensitivity of soil N mineralization under shrub canopy. Notably, shrub-biocrusts patches exhibited higher shrub leaf N content and more depleted δ<sup>15</sup>N values than shrub patches, indicating that biocrusts enhanced plant N uptake and increased reliance on biologically fixed N.
DOI: 10.34740/kaggle/dsv/11812239
title: NSF Awards Dataset
DOI: 10.15468/dl.eqv2tb
title: Occurrence Download

description: A dataset containing 11655 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Triumfetta rhomboidea Jacq."
 ]
}

 The dataset includes 11655 records from 395 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030820-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15412642
title: Specimmune
DOI: 10.15468/dl.wyq6pu
title: Occurrence Download

description: A dataset containing 1647 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Australia, Malaysia, Indonesia)",
 "TaxonKey is Fregetta tropica (Gould, 1844)"
 ]
}

 The dataset includes 1647 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030821-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15408367
title: Meta data of systematic comparison of gas production in batch culture incubations with rumen fluid or faeces as inoculum

description: The dataset was compiled for the paper titled 'Systematic comparison of gas production in batch culture incubations with rumen fluid or faeces as inoculum' (submitted).This data was collected from published papers using the keywords “rumen” AND “in vitro” AND “gas production” AND (“faeces” OR “feces”). A study was included in the evaluation dataset if it met the following criteria: (i) It was published in English; (ii) It collected both RI and FI from the same animal; (iii) It incubated the same feed substrate using both RI and FI; (iv) It provided detailed information on the feed substrate along with the corresponding gas production volumes.
DOI: 10.5281/zenodo.15408368
title: Meta data of systematic comparison of gas production in batch culture incubations with rumen fluid or faeces as inoculum

description: The dataset was compiled for the paper titled 'Systematic comparison of gas production in batch culture incubations with rumen fluid or faeces as inoculum' (submitted).This data was collected from published papers using the keywords “rumen” AND “in vitro” AND “gas production” AND (“faeces” OR “feces”). A study was included in the evaluation dataset if it met the following criteria: (i) It was published in English; (ii) It collected both RI and FI from the same animal; (iii) It incubated the same feed substrate using both RI and FI; (iv) It provided detailed information on the feed substrate along with the corresponding gas production volumes.
DOI: 10.15468/dl.8eahy3
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ponthieva sylvicola Rchb.f."
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030822-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29064560
title: Bougainvillia cf. muscus genome assembly

description: Final genome assembly for Bougainvillia cf. muscus. 350 contigs.Protein models and GTF file for Bougainvillia cf. muscus genome assembly. Output from BRAKER3.<br>
DOI: 10.6084/m9.figshare.29066402
title: Scopus Design Thinking & Creative Thinking.csv

description: Design thinking and creative thinking skills have a significant impact on fostering innovation across various fields, especially education and technology development. However, the mapping of research related to these two concepts still requires a comprehensive understanding to identify global collaboration trends and patterns. This study aims to examine the thematic trends, evolution of concepts, and collaborative connections between countries through a bibliometric method. To map keyword, author, and international collaboration networks, keywords were analyzed using Scopus database and VOS viewer software. Design thinking relates more to innovation, design education, and sustainability, whereas creative thinking relates more to problem solving, active learning, and critical thinking according to the analysis. Trends include the United States, China and Indonesia as being dominant in terms of international scientific collaboration, and a prospective strengthening of ties between European and East Asian countries. The visualization of knowledge networks and the mapping of international collaborations is the second key contribution of this research and providing opportunities for fure research. It is anticipated that this finding will be a reference for researchers and practitioners in conducting more integrated and useful research in the future.
DOI: 10.15468/dl.zkmdzb
title: Occurrence Download

description: A dataset containing 564 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhodiola kirilowii (Regel) Maxim.",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)"
 ]
}

 The dataset includes 564 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030823-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11066684
title: Results from national testing programs on the occurrence of chemical contaminants in food and feed - Cyprus

description: In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed.  

The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. 

Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below:  



Commission Regulation (EU) 625/2017, on the application of food and feed law

Commission Delegated Regulation (EU) 2022/931

Commission Implementing Regulation (EU) 2022/932

Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006


These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2023, 2022, 2021, and 2020, split by sampling year (data element ‘sampY’). 

More details are available in last year's finalised call for data ‘Call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA (europa.eu)’.

REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: 

OCC-CHEMMON2020 – Ministry of Health - State General Laboratory

OCC-CHEMMON2021 – Ministry of Health - State General Laboratory

OCC-CHEMMON2022 – Ministry of Health - State General Laboratory

OCC-CHEMMON2023 – Ministry of Health - State General Laboratory
description: CY; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.15412663
title: Results from national testing programs on the occurrence of chemical contaminants in food and feed - Cyprus

description: In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed.  

The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. 

Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below:  



Commission Regulation (EU) 625/2017, on the application of food and feed law

Commission Delegated Regulation (EU) 2022/931

Commission Implementing Regulation (EU) 2022/932

Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006


These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2024, 2023, 2022, 2021, and 2020, split by sampling year (data element ‘sampY’). 

More details are available in last year's finalised call for data ‘Annual call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA’.

REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: 

OCC-CHEMMON2020 – Ministry of Health - State General Laboratory

OCC-CHEMMON2021 – Ministry of Health - State General Laboratory

OCC-CHEMMON2022 – Ministry of Health - State General Laboratory

OCC-CHEMMON2023 – Ministry of Health - State General Laboratory

OCC-CHEMMON2024 – Ministry of Health - State General Laboratory
description: CY; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.7034363
title: Results from national testing programs on the occurrence of chemical contaminants in food and feed - Cyprus

description: In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed.  

The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. 

Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below:  



Commission Regulation (EU) 625/2017, on the application of food and feed law

Commission Delegated Regulation (EU) 2022/931

Commission Implementing Regulation (EU) 2022/932

Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006


These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2024, 2023, 2022, 2021, and 2020, split by sampling year (data element ‘sampY’). 

More details are available in last year's finalised call for data ‘Annual call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA’.

REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: 

OCC-CHEMMON2020 – Ministry of Health - State General Laboratory

OCC-CHEMMON2021 – Ministry of Health - State General Laboratory

OCC-CHEMMON2022 – Ministry of Health - State General Laboratory

OCC-CHEMMON2023 – Ministry of Health - State General Laboratory

OCC-CHEMMON2024 – Ministry of Health - State General Laboratory
description: CY; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.7034364
title: Results from national testing programs on the occurrence of chemical contaminants in food and feed - Cyprus

description: In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed. The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below: Commission Regulation (EU) 625/2017, on the application of food and feed law Commission Regulation (EC) 1881/2006, on maximum levels for certain contaminants in foodstuffs Commission Regulation (EC) 2017/2158 establishing mitigation measures and benchmark levels for the reduction of the presence of acrylamide in food These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2020, split by sampling year (data element ‘sampY’). More details are available in the ‘Call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA (europa.eu)’. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: OCC-CHEMMON2020 – Ministry of Health - State General Laboratory
description: CY; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.7038142
title: Results from national testing programs on the occurrence of chemical contaminants in food and feed - Cyprus

description: In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed. The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below: Commission Regulation (EU) 625/2017, on the application of food and feed law Commission Regulation (EC) 1881/2006, on maximum levels for certain contaminants in foodstuffs Commission Regulation (EC) 2017/2158 establishing mitigation measures and benchmark levels for the reduction of the presence of acrylamide in food These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2021, split by sampling year (data element ‘sampY’). More details are available in the ‘Call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA (europa.eu)’. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: OCC-CHEMMON2020 – Ministry of Health - State General Laboratory OCC-CHEMMON2021 – Ministry of Health - State General Laboratory
description: CY; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.7808864
title: Results from national testing programs on the occurrence of chemical contaminants in food and feed - Cyprus

description: In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed. The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below: Commission Regulation (EU) 625/2017, on the application of food and feed law Commission Regulation (EC) 1881/2006, on maximum levels for certain contaminants in foodstuffs Commission Regulation (EC) 2017/2158 establishing mitigation measures and benchmark levels for the reduction of the presence of acrylamide in food These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2022, 2021, and 2020, split by sampling year (data element ‘sampY’). More details are available in the ‘Call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA (europa.eu)’. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: OCC-CHEMMON2020 – Ministry of Health - State General Laboratory OCC-CHEMMON2021 – Ministry of Health - State General Laboratory OCC-CHEMMON2022 – Ministry of Health - State General Laboratory
description: CY; CSV; data.collection@efsa.europa.eu
DOI: 10.15468/dl.285dc9
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhodiola semenovii (Regel & Herder) Boriss.",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030824-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.exjnmk
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhodiola heterodonta (Hook.fil. & Thomson) Boriss.",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)"
 ]
}

 The dataset includes 28 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030825-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29066405
title: <b>Suzhou Museum Augmented Reality (AR) Experience Survey</b>

description: This study explores the effect of Augmented Reality (AR) technology in reshap- ing the Suzhou Museum visitor experience, specifically, its role in stimulating en- gagement, interaction, and overall satisfaction. Using primary data derived from a mixed-methods approach, which combined quantitative and qualitative input from 420 museum visitors, it offers a general panorama of current AR integration and uses, as well as user preferences contributing positively and negatively to its im- plementation, by observing, documenting and reviewing visitor interactions with AR-enabled exhibits. The findings aim to strengthen the strategic development of more meaningful user-centered AR experiences while addressing challenges related to diversity, accessibility and technology familiarity. Overall, this work offers value to those designing and working on AR applications for museum-focused integrations that seek insight into the user experience and the importance of considering the broader demographics, technology proficiency levels, learning curve and intuitive- ness of interaction, among others.
DOI: 10.6084/m9.figshare.29066405.v1
title: <b>Suzhou Museum Augmented Reality (AR) Experience Survey</b>

description: This study explores the effect of Augmented Reality (AR) technology in reshap- ing the Suzhou Museum visitor experience, specifically, its role in stimulating en- gagement, interaction, and overall satisfaction. Using primary data derived from a mixed-methods approach, which combined quantitative and qualitative input from 420 museum visitors, it offers a general panorama of current AR integration and uses, as well as user preferences contributing positively and negatively to its im- plementation, by observing, documenting and reviewing visitor interactions with AR-enabled exhibits. The findings aim to strengthen the strategic development of more meaningful user-centered AR experiences while addressing challenges related to diversity, accessibility and technology familiarity. Overall, this work offers value to those designing and working on AR applications for museum-focused integrations that seek insight into the user experience and the importance of considering the broader demographics, technology proficiency levels, learning curve and intuitive- ness of interaction, among others.
DOI: 10.5281/zenodo.15311110
title: uct c-EW-03 03um D09mm

description: # Summary:

 

.X-Ray micro-computed tomography (micro-CT) of an Edward White (EW) sample (a plug with 9 mm diameter), including both raw projection data and the final reconstruction, for resolution with voxel size of 3 μm.

 

.The 3D image was generated with an X-Ray micro-CT Scanner version Xradia Versa 510 from Zeiss performed by A Pereira at the UFF micro-CT Facility.

 

.For use of these data, please remember to cite the DOI of the Zenodo repository and relevant papers.

 

# Tomo Details:

 

.Aquisition date: 2023-07-04

 

.Voxel size: 3.0118 μm;

 

.Camera Binning: 1;

 

.Sample-source distance: 30 mm;

 

.Sample-detector distance: 314 mm;

 

.Optical magnification: 0.4X;

 

.Filter: LE#2;

 

.Beam energy: 100 kV;

 

.Power: 9 W;

 

.Current: 89.5 uA;

 

.Exposure time: 15.0 sec;

 

.Projections: 2401;

 

# Contents:

 

.uct_c-EW-03_03um_16bits.zip

 

.uct_c-EW-03_03um_2401p.txrm

 

.uct_c-EW-03_03um_2401p_Drift.txrm
DOI: 10.5281/zenodo.15311111
title: uct c-EW-03 03um D09mm

description: # Summary:

 

.X-Ray micro-computed tomography (micro-CT) of an Edward White (EW) sample (a plug with 9 mm diameter), including both raw projection data and the final reconstruction, for resolution with voxel size of 3 μm.

 

.The 3D image was generated with an X-Ray micro-CT Scanner version Xradia Versa 510 from Zeiss performed by A Pereira at the UFF micro-CT Facility.

 

.For use of these data, please remember to cite the DOI of the Zenodo repository and relevant papers.

 

# Tomo Details:

 

.Aquisition date: 2023-07-04

 

.Voxel size: 3.0118 μm;

 

.Camera Binning: 1;

 

.Sample-source distance: 30 mm;

 

.Sample-detector distance: 314 mm;

 

.Optical magnification: 0.4X;

 

.Filter: LE#2;

 

.Beam energy: 100 kV;

 

.Power: 9 W;

 

.Current: 89.5 uA;

 

.Exposure time: 15.0 sec;

 

.Projections: 2401;

 

# Contents:

 

.uct_c-EW-03_03um_16bits.zip

 

.uct_c-EW-03_03um_2401p.txrm

 

.uct_c-EW-03_03um_2401p_Drift.txrm