cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16939666
title: Personalized Learning Analytics Through Static Code Analysis in Computer Science Education

description: Abstract:

Background: Learning programming is often difficult for beginners, primarily because of the challenge of providing timely and personalized feedback in large educational environments. While automated assessment systems have improved efficiency in grading and feedback, they typically focus on correctness and often lack personalized guidance concerning code quality, readability, and maintainability

Objective: This study aims to investigate whether integrating static code analysis into automated assessment systems to provide personalized feedback can effectively enhance students code quality, learning process, and engagement in programming courses.

Methods: We designed a personalized feedback system integrated with static analysis tools (Cppcheck and Clang-format), deployed within an existing automated assessment platform used by undergraduate programming students. The system was evaluated in a controlled experiment involving 60 students randomly divided into control and treatment groups. The effectiveness of personalized feedback was measured through quantitative metrics (style violations, potential bugs, and design issues), qualitative surveys, and submission behaviours over multiple assignments.

Results: Results demonstrated that students receiving personalized feedback improved their code quality, reducing the number of style violations by 76%, potential bugs by 52%, and structural issues by 32% compared to the control group. Students also expressed higher satisfaction, increased motivation, and greater willingness to iteratively refine their code based on personalized feedback.

Conclusion: The integration of static code analysis for personalized feedback not only enhances code quality but also helps a deeper understanding of good programming practices among students. Future research should focus on making feedback systems more adaptive, incorporating intelligent tutoring techniques, and exploring long-term impacts on programming habits and skill retention.

Supplementary materials for the article:

Horváth, M., Pietriková, E., & Gurbáľ, F. (2025). Personalized Learning Analytics Through Static Code Analysis in Computer Science Education. Acta Informatica Pragensia, X(X). https://doi.org/10.18267/j.aip.283
DOI: 10.5281/zenodo.16939667
title: Personalized Learning Analytics Through Static Code Analysis in Computer Science Education

description: Abstract:

Background: Learning programming is often difficult for beginners, primarily because of the challenge of providing timely and personalized feedback in large educational environments. While automated assessment systems have improved efficiency in grading and feedback, they typically focus on correctness and often lack personalized guidance concerning code quality, readability, and maintainability

Objective: This study aims to investigate whether integrating static code analysis into automated assessment systems to provide personalized feedback can effectively enhance students code quality, learning process, and engagement in programming courses.

Methods: We designed a personalized feedback system integrated with static analysis tools (Cppcheck and Clang-format), deployed within an existing automated assessment platform used by undergraduate programming students. The system was evaluated in a controlled experiment involving 60 students randomly divided into control and treatment groups. The effectiveness of personalized feedback was measured through quantitative metrics (style violations, potential bugs, and design issues), qualitative surveys, and submission behaviours over multiple assignments.

Results: Results demonstrated that students receiving personalized feedback improved their code quality, reducing the number of style violations by 76%, potential bugs by 52%, and structural issues by 32% compared to the control group. Students also expressed higher satisfaction, increased motivation, and greater willingness to iteratively refine their code based on personalized feedback.

Conclusion: The integration of static code analysis for personalized feedback not only enhances code quality but also helps a deeper understanding of good programming practices among students. Future research should focus on making feedback systems more adaptive, incorporating intelligent tutoring techniques, and exploring long-term impacts on programming habits and skill retention.

Supplementary materials for the article:

Horváth, M., Pietriková, E., & Gurbáľ, F. (2025). Personalized Learning Analytics Through Static Code Analysis in Computer Science Education. Acta Informatica Pragensia, X(X). https://doi.org/10.18267/j.aip.283
DOI: 10.15468/dl.xhzbsz
title: Occurrence Download

description: A dataset containing 494 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Medicago arabica",
 "Country is Germany",
 "HasCoordinate is true"
 ]
}

 The dataset includes 494 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050108-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nt4qq4
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Medicago arabica",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 24 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050110-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.74wqxy
title: Occurrence Download

description: A dataset containing 16758402 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Squamata, Testudines, Amphibia, Mammalia, Aves, Plantae, Arthropoda, Nematoda, Enchytraeidae, Stylommatophora, Opisthopora)",
 "Year 1997-2025"
 ]
}

 The dataset includes 16758402 records from 892 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050074-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17613/bef7y-84628
title: Human–AI Co-Development Archive: 2025 Study

description: This dataset accompanies the draft article "Why Educators, Not Engineers, Should Train AI: A Pedagogical Intervention for the Generative Age." It  provides excerpts from human–AI conversations that support the article's analysis. The included dialogues demonstrate AI responsiveness to humanities-informed training protocols.
DOI: 10.17613/y1qxt-b5h84
title: Human–AI Co-Development Archive: 2025 Study

description: This dataset accompanies the draft article "Why Educators, Not Engineers, Should Train AI: A Pedagogical Intervention for the Generative Age." It  provides excerpts from human–AI conversations that support the article's analysis. The included dialogues demonstrate AI responsiveness to humanities-informed training protocols.
DOI: 10.15468/dl.cbkn75
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Uzbekistan, Kyrgyzstan, Kazakhstan, Turkmenistan, Tajikistan)",
 "TaxonKey is Elymus caninus"
 ]
}

 The dataset includes 68 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050076-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qm4yc5
title: Occurrence Download

description: A dataset containing 49230920 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Mammalia, Aves, Squamata, Testudines, Amphibia, Plantae, Arthropoda, Nematoda, Opisthopora, Enchytraeidae, Stylommatophora)",
 "Year 1997-2025"
 ]
}

 The dataset includes 49230920 records from 802 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050062-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.apl.29901686
title: Supplemental Online Materials

description: supplementary material for experimental details, figures and tables
DOI: 10.60893/figshare.apl.29901686.v1
title: Supplemental Online Materials

description: supplementary material for experimental details, figures and tables
DOI: 10.6084/m9.figshare.29995165
title: <b>羟基自由基驱动氧化是</b><b>土壤</b><b>drought-rewetting process</b>

description: 土壤干旱再润湿过程会在短时间内增加温室气体的排放，是陆地生态系统，特别是旱地温室气体排放的关键途径之一。然而，这种温室气体排放脉冲背后的机制仍然没有得到充分了解。本文典型旱地覆覆类型（裸地、蓝藻/地衣覆盖土和苔藓覆盖土）进行了模拟土壤再润湿实验，并利用同位素标记技术（13C、15N 和 18O）探索土壤再润湿后土壤中碳 （C） 和氮 （N） 快速释放的内在机制。我们发现羟基自由基（·OH）是土壤重新润湿后通过土壤中微生物的快速活化产生的二氧化碳（CO2）和一氧化二氮（N2O）的产生显著减少 ·OH甲烷（CH4）的产生不受影响。 我们发现 ·通过微生物的酶促反应协同作用的 OH 增加了d CO2 的产生。 这 ·OH还刺激了NH4+向NO3−，并主导了N2O的生产。我们的研究结果证实了·OH在温室气体生产中的潜在作用，并表明微生物介导的·OH氧化机制是土壤干旱-再润湿过程中温室气体排放的一个被忽视的关键途径。在全球变暖的背景下，极端天气引起的土壤干旱-再润湿循环变得越来越频繁，使得温室气体通过 ·OH 氧化途径越来越重要。
DOI: 10.6084/m9.figshare.29995165.v1
title: <b>羟基自由基驱动氧化是</b><b>土壤</b><b>drought-rewetting process</b>

description: 土壤干旱再润湿过程会在短时间内增加温室气体的排放，是陆地生态系统，特别是旱地温室气体排放的关键途径之一。然而，这种温室气体排放脉冲背后的机制仍然没有得到充分了解。本文典型旱地覆覆类型（裸地、蓝藻/地衣覆盖土和苔藓覆盖土）进行了模拟土壤再润湿实验，并利用同位素标记技术（13C、15N 和 18O）探索土壤再润湿后土壤中碳 （C） 和氮 （N） 快速释放的内在机制。我们发现羟基自由基（·OH）是土壤重新润湿后通过土壤中微生物的快速活化产生的二氧化碳（CO2）和一氧化二氮（N2O）的产生显著减少 ·OH甲烷（CH4）的产生不受影响。 我们发现 ·通过微生物的酶促反应协同作用的 OH 增加了d CO2 的产生。 这 ·OH还刺激了NH4+向NO3−，并主导了N2O的生产。我们的研究结果证实了·OH在温室气体生产中的潜在作用，并表明微生物介导的·OH氧化机制是土壤干旱-再润湿过程中温室气体排放的一个被忽视的关键途径。在全球变暖的背景下，极端天气引起的土壤干旱-再润湿循环变得越来越频繁，使得温室气体通过 ·OH 氧化途径越来越重要。
DOI: 10.6084/m9.figshare.29482340.v1
title: Retrofitting Methods for Existing Ring Foundations of Onshore Wind Turbines under Seismic Loading: Anchor Bolt Strengthening and Ring Beam Jacketing

description: To address the issue of retrofitting existing foundations following the replacement with higher-capacity wind turbines (including the tower and the RNA), this study proposes a foundation retrofitting method involving the addition of anchor bolts and the enlargement of the ring beam. To validate the effectiveness of the retrofitting method, ABAQUS finite element software was used to develop three wind turbine-foundation-soil finite element models. A comparative analysis of the dynamic responses of the three models was conducted under the same seismic load. The study shows that the foundation retrofitting method can significantly improve the seismic performance of the wind turbine foundation.
DOI: 10.5284/1022586
title: Digital Report: Prehistoric Pottery Production in Charnwood Forest Leicestershire, 2022

description: This collection comprises the digital archive report from Historic England-funded Project No. 5631, which brought together specialists in prehistoric pottery from the East Midlands, and aimed to test, by means of additional petrographic study and electron microprobe analysis, the model of ceramic production and distribution that has been proposed on the basis of thin section analysis and to provenance more closely potential raw material sources.
DOI: 10.6084/m9.figshare.29977645
title: Monitoring Monthly Deposition and Erosion Trends of Yellow Sea Tidal Flats Using Sentinel-1 and -2 Imagery with Adaptive K-Means

description: This dataset contains 12 monthly digital elevation models (DEMs) and UAV-derived ground truth elevation data used for the validation of intertidal topography in three representative tidal flats of the Yellow Sea region: Gomso Bay, Hampyeong Bay, and the Yellow River Delta. The DEMs were generated using a multi-sensor waterline-based interpolation framework that integrates Sentinel-1 SAR and Sentinel-2 optical imagery through an entropy-optimized adaptive K-Means clustering approach. UAV data were collected through field surveys and used to validate the vertical accuracy of satellite-derived DEMs. This dataset supports the findings of the manuscript “Monthly Deposition and Erosion Trends of Tidal Flats in the Yellow Sea Using Sentinel-1 and -2 Imagery based on an Adaptive K-Means”.
DOI: 10.6084/m9.figshare.29977645.v1
title: Monitoring Monthly Deposition and Erosion Trends of Yellow Sea Tidal Flats Using Sentinel-1 and -2 Imagery with Adaptive K-Means

description: This dataset contains 12 monthly digital elevation models (DEMs) and UAV-derived ground truth elevation data used for the validation of intertidal topography in three representative tidal flats of the Yellow Sea region: Gomso Bay, Hampyeong Bay, and the Yellow River Delta. The DEMs were generated using a multi-sensor waterline-based interpolation framework that integrates Sentinel-1 SAR and Sentinel-2 optical imagery through an entropy-optimized adaptive K-Means clustering approach. UAV data were collected through field surveys and used to validate the vertical accuracy of satellite-derived DEMs. This dataset supports the findings of the manuscript “Monthly Deposition and Erosion Trends of Tidal Flats in the Yellow Sea Using Sentinel-1 and -2 Imagery based on an Adaptive K-Means”.
DOI: 10.6084/m9.figshare.29977645.v2
title: Monitoring Monthly Deposition and Erosion Trends of Yellow Sea Tidal Flats Using Sentinel-1 and -2 Imagery with Adaptive K-Means

description: This dataset contains 12 monthly digital elevation models (DEMs) and UAV-derived ground truth elevation data used for the validation of intertidal topography in three representative tidal flats of the Yellow Sea region: Gomso Bay, Hampyeong Bay, and the Yellow River Delta. The DEMs were generated using a multi-sensor waterline-based interpolation framework that integrates Sentinel-1 SAR and Sentinel-2 optical imagery through an entropy-optimized adaptive K-Means clustering approach. UAV data were collected through field surveys and used to validate the vertical accuracy of satellite-derived DEMs. This dataset supports the findings of the manuscript “Monthly Deposition and Erosion Trends of Tidal Flats in the Yellow Sea Using Sentinel-1 and -2 Imagery based on an Adaptive K-Means”.
DOI: 10.5281/zenodo.16966889
title: Tallinn urban heat islands

description: This dataset contains the SUHI layer assesses the UHI effect for the city of Tallinn, highlighting areas that become warmer than surrounding rural areas due to human activities like urbanization and transportation. By analyzing ground temperature data, an index from 0 to 100 is generated, where higher values indicate greater UHI exposure, pinpointing critical zones.

Include

Suhi difference from rural - Temperature difference between urban areas and surrounding rural reference areasSuhi whole day - Normalized SUHI index (range 0–1) representing heat island intensity over the full daySuhi whole day visual - Three-band tif file for visualization purposesSuhi whole day visual image - Three-band png file for visualization purposes
DOI: 10.5281/zenodo.16966890
title: Tallinn urban heat islands

description: This dataset contains the SUHI layer assesses the UHI effect for the city of Tallinn, highlighting areas that become warmer than surrounding rural areas due to human activities like urbanization and transportation. By analyzing ground temperature data, an index from 0 to 100 is generated, where higher values indicate greater UHI exposure, pinpointing critical zones.

Include

Suhi difference from rural - Temperature difference between urban areas and surrounding rural reference areasSuhi whole day - Normalized SUHI index (range 0–1) representing heat island intensity over the full daySuhi whole day visual - Three-band tif file for visualization purposesSuhi whole day visual image - Three-band png file for visualization purposes
DOI: 10.15468/dl.yacna9
title: Occurrence Download

description: A dataset containing 616476 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Panicum decompositum, Panicum dichotomiflorum, Panicum maximum, Panicum miliaceum, Panicum repens, Panicum schinzii, Papaver bracteatum, Papaver cambricum, Papaver croceum, Papaver dubium, Papaver hybridum, Papaver rhoeas, Papaver setigerum, Parapholis incurva, Paraserianthes falcataria, Paraserianthes lophantha, Parentucellia viscosa, Parietaria floridana, Parietaria judaica, Parkinsonia aculeata)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 616476 records from 2782 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000296-250827131500795/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.29995120
title: Supplementary Material for: Double Plastic Stents as a Bridging Strategy for Large Common Bile Duct Stones: A Case Report of Two Patients

description: Background: Endoscopic retrograde cholangiopancreatography (ERCP) with sphincterotomy is the standard treatment for common bile duct (CBD) stones. However, in 10–15% of cases involving large or multiple stones, this approach is inadequate. Advanced techniques such as lithotripsy, dilation, balloon extraction, or surgery may be required.
Case summary: We present two post-cholecystectomy patients with large (&gt;1.5 cm), multiple impacted CBD stones. Initial ERCP attempts, including sphincterotomy and 15 mm balloon dilation, failed to clear the stones. As a bridging strategy, two plastic stents (10 Fr and 7 Fr) were placed, and ursodeoxycholic acid therapy was started. On re evaluation at 50 and 80 days, stone clearance was achieved using simple balloon extraction—without lithotripsy or cholangioscopy—using the same tools as the initial ERCP.
Conclusion: Double plastic stent placement can serve as an effective interim measure for complex CBD stones, facilitating complete clearance in subsequent ERCP with standard equipme
DOI: 10.6084/m9.figshare.29995120.v1
title: Supplementary Material for: Double Plastic Stents as a Bridging Strategy for Large Common Bile Duct Stones: A Case Report of Two Patients

description: Background: Endoscopic retrograde cholangiopancreatography (ERCP) with sphincterotomy is the standard treatment for common bile duct (CBD) stones. However, in 10–15% of cases involving large or multiple stones, this approach is inadequate. Advanced techniques such as lithotripsy, dilation, balloon extraction, or surgery may be required.
Case summary: We present two post-cholecystectomy patients with large (&gt;1.5 cm), multiple impacted CBD stones. Initial ERCP attempts, including sphincterotomy and 15 mm balloon dilation, failed to clear the stones. As a bridging strategy, two plastic stents (10 Fr and 7 Fr) were placed, and ursodeoxycholic acid therapy was started. On re evaluation at 50 and 80 days, stone clearance was achieved using simple balloon extraction—without lithotripsy or cholangioscopy—using the same tools as the initial ERCP.
Conclusion: Double plastic stent placement can serve as an effective interim measure for complex CBD stones, facilitating complete clearance in subsequent ERCP with standard equipme
DOI: 10.22002/abkte-6dz47
title: Legionella_delta-lspHIJK

description: Legionella pneumophila Philadelphia-1_Lp02. Lacks all the T2SS minor pseudopilins.
description: <strong>Tilt Series Date:</strong> 2019-05-16</p>
<strong>Data Taken By:</strong> Debnath Ghosal</p>
<strong>Species / Specimen:</strong> Legionella pneumophila</p>
<strong>Strain:</strong> Philadelphia-1_Lp02</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-45.0°, 45.0°), step: 3.0°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -7.0 μm,  magnification: 42000x. </p>
<strong>Microscope:</strong> Janelia Titan</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain sent by Nicholas Cianciotto, Northwestern University. Data collected and processed by Debnath Ghosal.</p>
<strong>Sample Preparation:</strong> 6 grids were frozen for this strain (2x concentrated culture); Vitrobot (MK iv) settings: 100% humidity, 4µl sample, Blot force 6, blot time 4.5 sec. Wait time 0 sec. Drain time 1 sec. Ethane/propane mix. Grid: Quantifoil Cu 2/2 200.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2019-05-16-38/rawdata/</p>DG7_20190516_tomo0019.mrc,  Tilt Series (Pixel Size 0.26 nm), 882.8 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2019-05-16-38/rawdata/DG7_20190516_tomo0019.mrc"
        > <i class="download icon"></i> Download </a></p>

        DG7_20190516_tomo0019_full.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/dga2019-05-16-38/3dimage_102697/DG7_20190516_tomo0019_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15468/dl.b3cgw7
title: Occurrence Download

description: A dataset containing 41984 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Repatriación de datos de los lepidópteros depositados en la Colección del McGuire Center for Lepidoptera and Biodiversity, Florida Museum of Natural History"
 ]
}

 The dataset includes 41984 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007200-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/c86q9-cav26
title: ec9-3_sq2_cell4

description: IT 1.2s
description: <strong>Tilt Series Date:</strong> 2019-01-18</p>
<strong>Data Taken By:</strong> William Nicolas</p>
<strong>Species / Specimen:</strong> Escherichia coli</p>
<strong>Strain:</strong> 1094</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 2°, constant angular increment, dosage: 68.0 eV/Å²,  defocus: -2.0 μm,  magnification: 26000x. </p>
<strong>Microscope:</strong> Caltech Titan Krios</p>
<strong>Acquisition Software:</strong> Undefined</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Method 1 used (spotted drops of culture on agar plate ON and then resuspended culture in 0.5mL LB). LB is supplemented with 0.2g/L cellulasePG was added 1:30 before freezing</p>
<strong>Sample Preparation:</strong> Culture diluted 2x - Broad 100% 22C - backblotted 6s, glare seen at 3-4s</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/wnj2019-01-18-4/rawdata/</p>ec9-3_sq2_cell4.mrc,  Tilt Series (Pixel Size 0.54 nm), 1.7 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/wnj2019-01-18-4/rawdata/ec9-3_sq2_cell4.mrc"
        > <i class="download icon"></i> Download </a></p>

        ec9-3_sq2_cell4_full.rec,  Reconstruction (Pixel Size 2.16 nm), 712.7 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/wnj2019-01-18-4/3dimage_100770/ec9-3_sq2_cell4_full.rec"
        > <i class="download icon"></i> Download </a></p>