cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31066423
title: Narrow-sense heritability of heartwood variation in a teak (<i>Tectona grandis</i>) clonal trial and its potential for tree improvement

description: Teak (<i>Tectona grandis</i> L. f.) is a valuable tropical tree species renowned for its high-quality heartwood and excellent adaptability. Understanding the heritability of key traits such as growth characteristics and heartwood formation is essential for designing effective breeding programs aimed at improving wood quality and productivity. In the present study, we assessed the heritability of various traits based on genetic relationship matrices, including stem diameter, stem height, heartwood width, and sapwood depth, using 538 stems from a clonal trial in Thailand. Single-nucleotide polymorphisms derived from MIG-seq were used to construct additive (G<i><sub>A</sub></i>) and dominant (G<i><sub>D</sub></i>) genetic relationship matrices. The results indicated that heritability estimates based on G<i><sub>A</sub></i> were generally higher than those based on G<i><sub>D</sub></i>, suggesting the predominant role of additive genetic variance in most traits. Notably, sapwood depth exhibited equivalent heritability in both matrices, highlighting the potential significance of non-additive genetic effects. Both stem diameter and height heritabilities decreased with age, likely reflecting a shift in genetic control during maturation. Heartwood width exhibited moderate heritability (16–22%), which was influenced by the low heritability of stem diameter. In contrast, higher heritability in both additive and dominance effects for sapwood depth was detected, which evokes the importance of allelic combination. These findings emphasize the importance of accounting for trait-specific genetic architecture in teak breeding strategies, particularly for traits such as sapwood depth, where non-additive effects may play a significant role. This study provides critical insights into the genetic basis of growth and wood formation in teak, paving the way for optimized genetic improvement programs.
DOI: 10.6084/m9.figshare.31066423.v1
title: Narrow-sense heritability of heartwood variation in a teak (<i>Tectona grandis</i>) clonal trial and its potential for tree improvement

description: Teak (<i>Tectona grandis</i> L. f.) is a valuable tropical tree species renowned for its high-quality heartwood and excellent adaptability. Understanding the heritability of key traits such as growth characteristics and heartwood formation is essential for designing effective breeding programs aimed at improving wood quality and productivity. In the present study, we assessed the heritability of various traits based on genetic relationship matrices, including stem diameter, stem height, heartwood width, and sapwood depth, using 538 stems from a clonal trial in Thailand. Single-nucleotide polymorphisms derived from MIG-seq were used to construct additive (G<i><sub>A</sub></i>) and dominant (G<i><sub>D</sub></i>) genetic relationship matrices. The results indicated that heritability estimates based on G<i><sub>A</sub></i> were generally higher than those based on G<i><sub>D</sub></i>, suggesting the predominant role of additive genetic variance in most traits. Notably, sapwood depth exhibited equivalent heritability in both matrices, highlighting the potential significance of non-additive genetic effects. Both stem diameter and height heritabilities decreased with age, likely reflecting a shift in genetic control during maturation. Heartwood width exhibited moderate heritability (16–22%), which was influenced by the low heritability of stem diameter. In contrast, higher heritability in both additive and dominance effects for sapwood depth was detected, which evokes the importance of allelic combination. These findings emphasize the importance of accounting for trait-specific genetic architecture in teak breeding strategies, particularly for traits such as sapwood depth, where non-additive effects may play a significant role. This study provides critical insights into the genetic basis of growth and wood formation in teak, paving the way for optimized genetic improvement programs.
DOI: 10.6084/m9.figshare.31047760
title: EJN-2025-09-33278

description: Find the code and datasets used for the statistical analysis of the manuscript EJN-2025-09-33278.
DOI: 10.6084/m9.figshare.31047760.v1
title: EJN-2025-09-33278

description: Find the code and datasets used for the statistical analysis of the manuscript EJN-2025-09-33278.
DOI: 10.71636/vqxh-zf02
title: Quantitative dataset: MIAMUL survey ENG [Dataset]

description: [EN]Quantitative data set - survey - stakeholders
DOI: 10.6084/m9.figshare.31066408
title: Geometric data of analogous crevasse models

description: The dataset provides ice crevasse geometry data for 12 crevasse cases, including 1 idealized parallel-plate model, 2 idealized sinusoidal crevasse models, and 9 natural rough crevasse models that are analogized from rock fractures. Specifically, the data is formatted as the <i>z</i>-coordinates of the crevasse top and bot, with a unit of mm and a data point interval of 0.25 mm.
DOI: 10.6084/m9.figshare.31066408.v1
title: Geometric data of analogous crevasse models

description: The dataset provides ice crevasse geometry data for 12 crevasse cases, including 1 idealized parallel-plate model, 2 idealized sinusoidal crevasse models, and 9 natural rough crevasse models that are analogized from rock fractures. Specifically, the data is formatted as the <i>z</i>-coordinates of the crevasse top and bot, with a unit of mm and a data point interval of 0.25 mm.
DOI: 10.71636/b3es-wx55
title: MIAMUL focus group students 2 [Dataset]

description: [EN]Qualitative data set - focus groups - students
DOI: 10.5281/zenodo.18243732
title: Additional Material for Too Much AI, Too Little Trust: What the Software Engineering Community Really Thinks

description: This package contains the additional material for the position paper "Too Much AI, Too Little Trust: What the Software Engineering Community Really Thinks", submitted to ICSE FOSE 2026.

It contains the results of our analysis of the ICSE FOSE survey.The survey itself was performed by the ICSE FOSE organizers and the data is openly available:Storey, M., & van der Hoek, A. (2025). Community Survey for ICSE 2026 Future of Software Engineering: Toward a Healthy Software Engineering Community [Data set]. 48th IEEE/ACM International Conference on Software Engineering (ICSE 2026), Rio de Janeiro. Zenodo. https://doi.org/10.5281/zenodo.18217799No data gathering or analysis with human participants was performed when creating our dataset; it is based fully on the FOSE open data.

Our package contains the following files:1. Coding.xlsx - The coding results, with related answers from the FOSE survey related to each code.

2. Subset_of_participants.xlsx - The basic demographic information of the participants from the FOSE survey, who gave answers relevant to our study. This data was extracted from the FOSE survey data.

3. Code-Ethic-Value-Task-Mappings.xlsx - Our mapping of: (1) The ethical values to AI-related problems of the software engineering community, (2) The ethical values to Trustworthy AI lifecycle tasks.This work was financially supported by the project 2025/09/X/ST6/00901 funded by The National Science Centre, Poland.
DOI: 10.5281/zenodo.18243733
title: Additional Material for Too Much AI, Too Little Trust: What the Software Engineering Community Really Thinks

description: This package contains the additional material for the position paper "Too Much AI, Too Little Trust: What the Software Engineering Community Really Thinks", submitted to ICSE FOSE 2026.

It contains the results of our analysis of the ICSE FOSE survey.The survey itself was performed by the ICSE FOSE organizers and the data is openly available:Storey, M., & van der Hoek, A. (2025). Community Survey for ICSE 2026 Future of Software Engineering: Toward a Healthy Software Engineering Community [Data set]. 48th IEEE/ACM International Conference on Software Engineering (ICSE 2026), Rio de Janeiro. Zenodo. https://doi.org/10.5281/zenodo.18217799No data gathering or analysis with human participants was performed when creating our dataset; it is based fully on the FOSE open data.

Our package contains the following files:1. Coding.xlsx - The coding results, with related answers from the FOSE survey related to each code.

2. Subset_of_participants.xlsx - The basic demographic information of the participants from the FOSE survey, who gave answers relevant to our study. This data was extracted from the FOSE survey data.

3. Code-Ethic-Value-Task-Mappings.xlsx - Our mapping of: (1) The ethical values to AI-related problems of the software engineering community, (2) The ethical values to Trustworthy AI lifecycle tasks.This work was financially supported by the project 2025/09/X/ST6/00901 funded by The National Science Centre, Poland.
DOI: 10.71636/z9pr-7r73
title: Qualitative dataset: MIAMUL focus group students 1 [Dataset]

description: [EN]Qualitative data set - focus groups - students
DOI: 10.5281/zenodo.18244147
title: Amazon UK Warehouses - Interview with GMB Union worker-leaders

description: Anonymised transcript from an interview in 2025 with two GMB Union worker-leaders at Amazon's Coventry BHX4 warehouse who consented to data archiving. This data is available for sharing with authorised staff of bona fide research institutions on request by emailing rosalbaellis@hotmail.co.uk or tom.vickers@ntu.ac.uk. We aim to respond to all such requests within one calendar month.
DOI: 10.5281/zenodo.18244148
title: Amazon UK Warehouses - Interview with GMB Union worker-leaders

description: Anonymised transcript from an interview in 2025 with two GMB Union worker-leaders at Amazon's Coventry BHX4 warehouse who consented to data archiving. This data is available for sharing with authorised staff of bona fide research institutions on request by emailing rosalbaellis@hotmail.co.uk or tom.vickers@ntu.ac.uk. We aim to respond to all such requests within one calendar month.
DOI: 10.5281/zenodo.15112878
title: Rat ID dataset

description: We collected a dataset of video recordings from 16 male laboratory rats housed in operant conditioning chambers. Each rat was recorded in nine separate sessions over a period of six weeks, yielding a total of 144 videos. From each video, 10,000 frames were extracted, resulting in a dataset of 1,440,000 images.

Recording conditions varied across sessions, as rats were assigned to different chambers and recorded with different cameras. As a result, illumination, camera focus, field of view, and other imaging conditions changed across videos. This variability was preserved to assess whether identification models could generalise across recording sessions rather than relying on video-specific visual cues.

For each frame, the position of the rat was automatically estimated and a square image region centred on the animal was extracted. All images were then resized to a resolution of 128x128 pixels.
DOI: 10.5281/zenodo.15112879
title: Rat ID dataset

description: We collected a dataset of video recordings from 16 male laboratory rats housed in operant conditioning chambers. Each rat was recorded in nine separate sessions over a period of six weeks, yielding a total of 144 videos. From each video, 10,000 frames were extracted, resulting in a dataset of 1,440,000 images.

Recording conditions varied across sessions, as rats were assigned to different chambers and recorded with different cameras. As a result, illumination, camera focus, field of view, and other imaging conditions changed across videos. This variability was preserved to assess whether identification models could generalise across recording sessions rather than relying on video-specific visual cues.

For each frame, the position of the rat was automatically estimated and a square image region centred on the animal was extracted. All images were then resized to a resolution of 128x128 pixels.
DOI: 10.71636/x3eh-2f20
title: Qualitative dataset: MIAMUL focus group parents 1 [Dataset]

description: [EN]Qualitative data set - focus groups - migrant parents
DOI: 10.22002/gwf7t-g9s56
title: Chloroflexi

description: Raw data files of Chloroflexi
description: <strong>Tilt Series Date:</strong> 2017-12-21</p>
<strong>Data Taken By:</strong> Elitza Tocheva</p>
<strong>Species / Specimen:</strong> Chloroflexi</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 120.0 eV/Å²,  defocus: -5.0 μm,  magnification: 22500x. </p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2017-12-21-8/rawdata/</p>atlas10005.mrc,  Tilt Series (Pixel Size 0.48 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2017-12-21-8/rawdata/atlas10005.mrc"
        > <i class="download icon"></i> Download </a></p>

        atlas10005_part121_2.rec,  Reconstruction (Pixel Size 1.92 nm), 356.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2017-12-21-8/3dimage_91479/atlas10005_part121_2.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/7wpy2-df307
title: Unspecified

description: Raw data files of Unspecified
description: <strong>Tilt Series Date:</strong> 2016-05-24</p>
<strong>Data Taken By:</strong> Qing Yao</p>
<strong>Species / Specimen:</strong> Unspecified</p>
<strong>Strain:</strong> None</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 150.0 eV/Å²,  defocus: -8.0 μm,  magnification: 27500x. </p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
description: Files available via S3 at s://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/qya2016-05-24-25/rawdata/</p>tomography010004.mrc,  Tilt Series (Pixel Size 0.41 nm), 861.6 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/qya2016-05-24-25/rawdata/tomography010004.mrc"
        > <i class="download icon"></i> Download </a></p>

        tomography010004_part121_11.rec,  Reconstruction (Pixel Size 1.64 nm), 78.3 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/qya2016-05-24-25/3dimage_74964/tomography010004_part121_11.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/2ne3w-znw71
title: Chloroflexi

description: Raw data files of Chloroflexi
description: <strong>Tilt Series Date:</strong> 2016-05-23</p>
<strong>Data Taken By:</strong> Elitza Tocheva</p>
<strong>Species / Specimen:</strong> Chloroflexi</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 120.0 eV/Å²,  defocus: -10.0 μm,  magnification: 18000x. </p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Batchruntomo</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2016-05-23-6/rawdata/</p>FF_Mont10003.mrc,  Tilt Series (Pixel Size 0.6 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2016-05-23-6/rawdata/FF_Mont10003.mrc"
        > <i class="download icon"></i> Download </a></p>

        FF_Mont10003.rec,  Reconstruction (Pixel Size 2.4 nm), 711.2 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2016-05-23-6/3dimage_74886/FF_Mont10003.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/6peyh-4cy85
title: HIV cores

description: TRIM5A coated
description: <strong>Tilt Series Date:</strong> 2015-01-04</p>
<strong>Data Taken By:</strong> Stephen Carter</p>
<strong>Species / Specimen:</strong> HIV cores</p>
<strong>Strain:</strong> None</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 90.0 eV/Å²,  defocus: -8.0 μm,  magnification: 41000x. </p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
description: Files available via S3 at s://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/scd2015-01-04-1/rawdata/</p>tomography0001.mrc,  Tilt Series (Pixel Size 0.26 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/scd2015-01-04-1/rawdata/tomography0001.mrc"
        > <i class="download icon"></i> Download </a></p>

        tomography0001_part121_17.rec,  Reconstruction (Pixel Size 1.04 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/scd2015-01-04-1/3dimage_50218/tomography0001_part121_17.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/71v3h-bbj13
title: COS-7 expressing HIV-1 Gag

description: Raw data files of COS-7 expressing HIV-1 Gag
description: <strong>Tilt Series Date:</strong> 2015-08-06</p>
<strong>Data Taken By:</strong> Shrawan kumar Mageswaran</p>
<strong>Species / Specimen:</strong> Cos7</p>
<strong>Strain:</strong> Cos7 cells</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 80.0 eV/Å²,  defocus: -8.0 μm,  magnification: 18000x. </p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> IMOD</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2015-08-06-32/3dimage_60202/</p>GDgrid_atlas1_HIV_COS7par0028_part121_9.rec,  Reconstruction (Pixel Size 2.4 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2015-08-06-32/3dimage_60202/GDgrid_atlas1_HIV_COS7par0028_part121_9.rec"
        > <i class="download icon"></i> Download </a></p>

        GDgrid_atlas1_HIV_COS7par0028.mrc,  Tilt Series (Pixel Size 0.6 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2015-08-06-32/rawdata/GDgrid_atlas1_HIV_COS7par0028.mrc"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/pp4jz-epn39
title: Unspecified

description: Raw data files of Unspecified
description: <strong>Tilt Series Date:</strong> 2016-05-24</p>
<strong>Data Taken By:</strong> Qing Yao</p>
<strong>Species / Specimen:</strong> Unspecified</p>
<strong>Strain:</strong> None</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 150.0 eV/Å²,  defocus: -8.0 μm,  magnification: 27500x. </p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/qya2016-05-24-34/rawdata/</p>1007_10004.mrc,  Tilt Series (Pixel Size 0.41 nm), 861.6 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/qya2016-05-24-34/rawdata/1007_10004.mrc"
        > <i class="download icon"></i> Download </a></p>

        1007_10004_full.rec,  Reconstruction (Pixel Size 1.64 nm), 78.3 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/qya2016-05-24-34/3dimage_74988/1007_10004_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/nsp6f-pef17
title: Adipocyte Cell

description: Raw data files of Adipocyte Cell
description: <strong>Tilt Series Date:</strong> 2016-04-06</p>
<strong>Data Taken By:</strong> Stephen Carter</p>
<strong>Species / Specimen:</strong> Primary adipocyte cells</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 160.0 eV/Å²,  defocus: -5.0 μm,  magnification: 41000x. </p>
<strong>Acquisition Software:</strong> SerialEM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
description: Files available via S3 at s://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/scd2016-04-06-1/rawdata/</p>tomography1.mrc,  Tilt Series (Pixel Size 2.6 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/scd2016-04-06-1/rawdata/tomography1.mrc"
        > <i class="download icon"></i> Download </a></p>

        tomography1_full.rec,  Reconstruction (Pixel Size 10.4 nm), 1.3 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/scd2016-04-06-1/3dimage_74910/tomography1_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15468/dl.tfjurk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lissachatina fulica",
 "Country is United Arab Emirates",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033258-250811113504898/datasets/export for details.
DOI: 10.22002/53tqq-1dd83
title: Chloroflexi

description: Raw data files of Chloroflexi
description: <strong>Tilt Series Date:</strong> 2016-05-23</p>
<strong>Data Taken By:</strong> Elitza Tocheva</p>
<strong>Species / Specimen:</strong> Chloroflexi</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 120.0 eV/Å²,  defocus: -10.0 μm,  magnification: 18000x. </p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2016-05-23-1/rawdata/</p>FF_Mont30002.mrc,  Tilt Series (Pixel Size 0.6 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2016-05-23-1/rawdata/FF_Mont30002.mrc"
        > <i class="download icon"></i> Download </a></p>

        FF_Mont30002_part121_59.rec,  Reconstruction (Pixel Size 2.4 nm), 356.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2016-05-23-1/3dimage_74871/FF_Mont30002_part121_59.rec"
        > <i class="download icon"></i> Download </a></p>