cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29826085.v1
title: Additional file 5 of Virulence and genetic characterization of Puccinia striiformis f.sp. tritici populations on different wheat cultivars

description: Additional file 5: Table S5. Pathotypes and their frequencies in Pst isolates collected from different wheat cultivars in 2020–2021
DOI: 10.6084/m9.figshare.29826088
title: Additional file 6 of Virulence and genetic characterization of Puccinia striiformis f.sp. tritici populations on different wheat cultivars

description: Additional file 6: Table S6. Analysis of virulence diversity and genetic diversity of Pst isolates collected from different elevations in 2020
DOI: 10.6084/m9.figshare.29826088.v1
title: Additional file 6 of Virulence and genetic characterization of Puccinia striiformis f.sp. tritici populations on different wheat cultivars

description: Additional file 6: Table S6. Analysis of virulence diversity and genetic diversity of Pst isolates collected from different elevations in 2020
DOI: 10.6084/m9.figshare.29826091
title: Additional file 7 of Virulence and genetic characterization of Puccinia striiformis f.sp. tritici populations on different wheat cultivars

description: Additional file 7: Table S7. Information of SSR primers used to characterize Pst isolates
DOI: 10.6084/m9.figshare.29826091.v1
title: Additional file 7 of Virulence and genetic characterization of Puccinia striiformis f.sp. tritici populations on different wheat cultivars

description: Additional file 7: Table S7. Information of SSR primers used to characterize Pst isolates
DOI: 10.6084/m9.figshare.29826094
title: Additional file 9 of Virulence and genetic characterization of Puccinia striiformis f.sp. tritici populations on different wheat cultivars

description: Additional file 8: Table S8. Analysis of molecular variance (AMOVA) based on the SSR marker data of the Pst isolates collected from wheat cultivars in 2020–2021
DOI: 10.6084/m9.figshare.29826094.v1
title: Additional file 9 of Virulence and genetic characterization of Puccinia striiformis f.sp. tritici populations on different wheat cultivars

description: Additional file 8: Table S8. Analysis of molecular variance (AMOVA) based on the SSR marker data of the Pst isolates collected from wheat cultivars in 2020–2021
DOI: 10.6084/m9.figshare.29826097
title: Additional file 81 of Virulence and genetic characterization of Puccinia striiformis f.sp. tritici populations on different wheat cultivars

description: Additional file 9: Table S9. Values of population differentiation based on FST
DOI: 10.6084/m9.figshare.29826097.v1
title: Additional file 81 of Virulence and genetic characterization of Puccinia striiformis f.sp. tritici populations on different wheat cultivars

description: Additional file 9: Table S9. Values of population differentiation based on FST
DOI: 10.6084/m9.figshare.29826108
title: Additional file 2 of The influence of personality traits on college students’ exercise behavior: a chain mediation model of exercise self-efficacy and exercise motivation

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.29826108.v1
title: Additional file 2 of The influence of personality traits on college students’ exercise behavior: a chain mediation model of exercise self-efficacy and exercise motivation

description: Supplementary Material 2
DOI: 10.15468/dl.rqau3k
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phalloceros malabarbai)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012982-250802193616735/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.29826130
title: Additional file 11 of Optimizing in vitro slow-growth conservation media for garlic under ambient conditions: further implications for core set accessions

description: Supplementary Material 11.
DOI: 10.6084/m9.figshare.29826130.v1
title: Additional file 11 of Optimizing in vitro slow-growth conservation media for garlic under ambient conditions: further implications for core set accessions

description: Supplementary Material 11.
DOI: 10.15468/dl.gxaf72
title: Occurrence Download

description: A dataset containing 264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Melanocharis arfakiana)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 264 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012984-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15845482
title: Detection of Submerged Targets Beyond Eyes' Observation Using Satellite Lidar and Multispectral Data

description: Detecting submerged targets in shallow waters on satellite platforms remains a challenge, as the optical spectral information may be significantly distorted by the absorption and scattering effects of the water column, rendering it largely independent of the target itself. In this study, we propose a new framework as the bathymetry-informed target extraction (BITE), which integrates the active spaceborne lidar (ICESat-2) data and passive multispectral imagery (Beijing-3) to achieve satellite-based detection of submerged targets. By using the Satellite-Derived Bathymetry (SDB) model, we convert the complex multispectral information into relative depth data. Through this transformation, the challenging problem of distorted color domain image segmentation is converted into a problem of depth anomaly detection. Then, a generic target detection model is applied to this derived bathymetric map for automated and training-free target identification. The method is validated on submerged stone weirs in the Penghu Islands, which indicates significant improvements in target recognition rate and reliability compared to direct color-based methods. This approach promises rapid and large-scale surveys of submerged targets in shallow waters, offering an alternative solution to in-situsurveys such as shipborne sonars.
description: This dataset includes several remote sensing images, bathymetric maps, and submerged target extraction result images. It is intended to support the reproduction of experimental results and further research related to the corresponding paper. The files are described as follows:





Original Remote Sensing Image Data

“imgdata1.tif” and “imgdata2.tif”: These are the primary remote sensing images used for result presentation in the paper, supporting experiments on target extraction and depth estimation.

“imgdata3.tif”: Used to increase the number of matched depth data points during the training phase. This image does not contain identifiable submerged targets and was not used for visual result display.




Bathymetric Maps

“SDBmap1.tif”, “SDBmap2.tif”, “SDBmap3.tif”: These correspond to the bathymetric estimation results shown in Figure 3 of the paper and are used to demonstrate satellite-derived bathymetry (SDB) from remote sensing imagery.




Submerged Target Extraction Results

“Result1.tif”, “Result2.tif”, “Result3.tif”: These are the result images shown in Figure 4 of the paper, illustrating the model’s performance in detecting submerged targets within the remote sensing images.




Model Weight File

“mdsam_512.pth”: This is the pre-trained weight file for the MDSAM model used in this study. The model architecture and code can be accessed via the following GitHub repository:

 https://github.com/BellyBeauty/MDSAM
DOI: 10.6084/m9.figshare.29826174
title: Additional file 3 of GenomicLayers: sequence-based simulation of epi-genomes

description: Supplementary Material 3. An R script prototype of the hg38 full human genome model.
DOI: 10.6084/m9.figshare.29826174.v1
title: Additional file 3 of GenomicLayers: sequence-based simulation of epi-genomes

description: Supplementary Material 3. An R script prototype of the hg38 full human genome model.
DOI: 10.6084/m9.figshare.29826177
title: Additional file 1 of Comparative genomics uncovers organellar genome structural divergence in Caryophyllales and reveals widespread non-coding transcription in Bougainvillea glabra organellar

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.29826177.v1
title: Additional file 1 of Comparative genomics uncovers organellar genome structural divergence in Caryophyllales and reveals widespread non-coding transcription in Bougainvillea glabra organellar

description: Supplementary Material 1.
DOI: 10.15468/dl.unp9xu
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solanum nigrum",
 "Country is Congo, Democratic Republic of the",
 "HasCoordinate is true"
 ]
}

 The dataset includes 46 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012985-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14458/utcc.the.2008.13
title: ปัจจัยทางเศรษฐกิจที่ส่งผลต่อดัชนีราคาหลักทรัพย์กลุ่มธนาคารพาณิชย์ และราคาหลักทรัพย์ธนาคารพาณิชย์

description: การศึกษาเรื่องปัจจัยที่ส่งผลต่อดัชนีราคาหลักทรัพย์กลุ่มธนาคารพาณิชย์ และราคาหลักทรัพย์ธนาคารพาณิชย์ วัตถุประสงค์เพื่อศึกษาให้เห็นถึงปัจจัยทางเศรษฐกิจ ที่มีผลต่อดัชนีราคาหลักทรัพย์กลุ่มธนาคารพาณิชย์และราคาหลักทรัพย์ธนาคารพาณิชย์ ตั้งแต่เดือนมกราคม 2546 – มิถุนายน 2551 โดยได้ทำการศึกษาธนาคารพาณิชย์จำนวน 8 ธนาคารได้แก่ ธนาคารกรุงศรีอยุธยา ธนาคารกรุงเทพ ธนาคารไทยธนาคาร ธนาคารกสิกรไทยธนาคารกรุงไทย ธนาคารไทยพาณิชย์ ธนาคารนครหลวงไทย และ ธนาคารทหารไทย ส่วนธนาคารไม่ทำการศึกษาคือเป็นธนาคารที่มาจากบริษัทเงินทุน คือ ธนาคารสินเอเชีย ธนาคารเกียรตินาคิน ธนาคารทิสโก้และธนาคารธนชาติ และปัจจัยทางเศรษฐกิจที่นำมาศึกษาด้วยนั้นได้แก่ อัตราเงินเฟ้อ อัตรากู้ยืมเงินระหว่างธนาคาร ปริมาณเงิน ดัชนีการลงทุนภาคเอกชน และดัชนีค่าเงินบาทจากการศึกษาปัจจัยที่ส่งผลต่อดัชนีราคาหลักทรัพย์กลุ่มธนาคารพาณิชย์นั้นจะเห็นได้ว่าปัจจัยที่ส่งผลต่อดัชนีราคาหลักทรัพย์กลุ่มธนาคารพาณิชย์นั้น ได้แก่ ดัชนีการลงทุนภาคเอกชน และดัชนีค่าเงินบาท จะมีผลต่อดัชนีราคาหลักทรัพย์กลุ่มธนาคารพาณิชย์โดยมีความสัมพันธ์เป็นไปในทิศทางเดียวกันในการวิเคราะห์ปัจจัยที่ส่งผลต่อราคาหลักทรัพย์ธนาคารพาณิชย์ จะเห็นได้ว่าแต่ละธนาคารมีปัจจัยที่ส่งผลต่อราคาหลักทรัพย์ที่แตกต่างกัน ซึ่งอาจจะขึ้นอยู่กับการบริหารงานของแต่ละธนาคาร บางธนาคารอาจจะมีปัจจัยที่มีผลต่อราคาน้อย จากการศึกษาปัจจัยทางเศรษฐกิจที่มีผลต่อราคาหลักทรัพย์ธนาคาร ซึ่งแต่ละธนาคารจะมีปัจจัยเศรษฐกิจที่มีตัวแปรส่งผลต่อราคาหลักทรัพย์แตกต่างกันดังนี้อัตรากู้ยืมเงินระหว่างธนาคาร มีผลต่อราคาหลักทรัพย์ธนาคารกรุงเทพ ราคาหลักทรัพย์ธนาคารกสิกรไทย ราคาหลักทรัพย์ธนาคารกรุงไทย ราคาหลักทรัพย์ธนาคารไทยพาณิชย์ และราคาหลักทรัพย์ธนาคารทหารไทย ปริมาณเงิน มีผลต่อราคาหลักทรัพย์ธนาคารกรุงศรีอยุธยา ราคาหลักทรัพย์ธนาคารกรุงไทย ราคาหลักทรัพย์ธนาคารไทยพาณิชย์ ราคาหลักทรัพย์ธนาคารนครหลวงไทย และราคาหลักทรัพย์ธนาคารทหารไทยดัชนีการลงทุนภาคเอกชน มีผลต่อราคาหลักทรัพย์ธนาคารทหารไทย ราคาหลักทรัพย์ธนาคารกรุงไทย ราคาหลักทรัพย์กสิกรไทย และราคาหลักทรัพย์ธนาคารกรุงเทพดัชนีค่าเงินบาท มีผลต่อราคาหลักทรัพย์ธนาคารกรุงเทพ ราคาหลักทรัพย์ธนาคารไทยธนาคารและราคาหลักทรัพย์ธนาคารกรุงไทยผลการศึกษาในครั้งนี้ได้ชี้ให้เห็นถึงปัจจัยที่มีผลกระทบต่อดัชนีราคาหลักทรัพย์กลุ่มธนาคารพาณิชย์และราคาหลักทรัพย์ธนาคารพาณิชย์ ซึ่งปัจจัยที่นำมาศึกษาในครั้งนี้นั้นมีขนาดความสัมพันธ์ที่แตกต่างกันออกไป
DOI: 10.6084/m9.figshare.19743461
title: Additional file 6 of Myt1l haploinsufficiency leads to obesity and multifaceted behavioral alterations in mice

description: Additional file 6. Table S1: Overview on statistical results for behavioral assays.
DOI: 10.6084/m9.figshare.19743461.v1
title: Additional file 6 of Myt1l haploinsufficiency leads to obesity and multifaceted behavioral alterations in mice

description: Additional file 6. Table S1: Overview on statistical results for behavioral assays.
DOI: 10.14458/utcc.the.2006.18
title: การวิเคราะห์เชิงเปรียบเทียบแบบแผนการบริโภคของภาคครัวเรือนไทย ช่วงก่อนและหลังวิกฤตเศรษฐกิจปี 2540 [ซีดี-รอม]
DOI: 10.57760/sciencedb.07000
title: A dataset of UAV multispectral images for banana Fusarium wilt survey
title: 香蕉枯萎病无人机多光谱影像数据集

description: Fusarium wilt of banana, also known as "banana cancer", currently threatens banana production areas worldwide. Timely and accurate identification of Fusarium wilt disease is crucial for effective disease control and optimizing agricultural planting structure. To explore the use of unmanned aerial vehicle (UAV) remote sensing for identifying banana wilt disease, this study obtained comprehensive experimental data on wilted banana plants in a banana plantation in Long'an County, Guangxi. The data set includes UAV multispectral reflectance data and ground survey data on the incidence of banana wilt disease. The UAV multispectral imaging data have high spatial resolution, while the ground survey data is accurate, making them suitable for research on UAV remote sensing identification and monitoring of banana wilt disease. This data set is of great significance for promoting research and application of remote sensing monitoring of crop diseases.
description: Fusarium wilt of banana, also known as "banana cancer", currently threatens banana production areas worldwide. Timely and accurate identification of Fusarium wilt disease is crucial for effective disease control and optimizing agricultural planting structure. To explore the use of unmanned aerial vehicle (UAV) remote sensing for identifying banana wilt disease, this study obtained comprehensive experimental data on wilted banana plants in a banana plantation in Long'an County, Guangxi. The data set includes UAV multispectral reflectance data and ground survey data on the incidence of banana wilt disease. The UAV multispectral imaging data have high spatial resolution, while the ground survey data is accurate, making them suitable for research on UAV remote sensing identification and monitoring of banana wilt disease. This data set is of great significance for promoting research and application of remote sensing monitoring of crop diseases.
DOI: 10.14458/utcc.the.2000.2
title: การศึกษาหาจํานวนที่เหมาะสมในระบบธนาคารพาณิชย์ไทย กรณีศึกษา ธนาคารไทยพาณิชย์ จํากัด (มหาชน)
DOI: 10.6084/m9.figshare.29826204
title: Additional file 1 of A Mendelian randomization study of type 2 diabetes and cancer risk in East Asians

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.29826204.v1
title: Additional file 1 of A Mendelian randomization study of type 2 diabetes and cancer risk in East Asians

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.29826207
title: Additional file 2 of A Mendelian randomization study of type 2 diabetes and cancer risk in East Asians

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.29826207.v1
title: Additional file 2 of A Mendelian randomization study of type 2 diabetes and cancer risk in East Asians

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.29826210
title: Additional file 3 of A Mendelian randomization study of type 2 diabetes and cancer risk in East Asians

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.29826210.v1
title: Additional file 3 of A Mendelian randomization study of type 2 diabetes and cancer risk in East Asians

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.29826213
title: Additional file 4 of A Mendelian randomization study of type 2 diabetes and cancer risk in East Asians

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.29826213.v1
title: Additional file 4 of A Mendelian randomization study of type 2 diabetes and cancer risk in East Asians

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.29826219
title: Additional file 6 of A Mendelian randomization study of type 2 diabetes and cancer risk in East Asians

description: Supplementary Material 6
DOI: 10.6084/m9.figshare.29826219.v1
title: Additional file 6 of A Mendelian randomization study of type 2 diabetes and cancer risk in East Asians

description: Supplementary Material 6
DOI: 10.6084/m9.figshare.29826222
title: Additional file 7 of A Mendelian randomization study of type 2 diabetes and cancer risk in East Asians

description: Supplementary Material 7
DOI: 10.6084/m9.figshare.29826222.v1
title: Additional file 7 of A Mendelian randomization study of type 2 diabetes and cancer risk in East Asians

description: Supplementary Material 7
DOI: 10.6084/m9.figshare.29826225
title: Additional file 8 of A Mendelian randomization study of type 2 diabetes and cancer risk in East Asians

description: Supplementary Material 8
DOI: 10.6084/m9.figshare.29826225.v1
title: Additional file 8 of A Mendelian randomization study of type 2 diabetes and cancer risk in East Asians

description: Supplementary Material 8
DOI: 10.6084/m9.figshare.29826223
title: Additional file 2 of Bisecting GlcNAc enhances CD8+ T cell-mediated killing of breast cancer by suppressing PD-L1 expression and its binding to PD-1

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.29826223.v1
title: Additional file 2 of Bisecting GlcNAc enhances CD8+ T cell-mediated killing of breast cancer by suppressing PD-L1 expression and its binding to PD-1

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.29826226
title: Additional file 3 of Bisecting GlcNAc enhances CD8+ T cell-mediated killing of breast cancer by suppressing PD-L1 expression and its binding to PD-1

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.29826226.v1
title: Additional file 3 of Bisecting GlcNAc enhances CD8+ T cell-mediated killing of breast cancer by suppressing PD-L1 expression and its binding to PD-1

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.29826229
title: Additional file 4 of Bisecting GlcNAc enhances CD8+ T cell-mediated killing of breast cancer by suppressing PD-L1 expression and its binding to PD-1

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.29826229.v1
title: Additional file 4 of Bisecting GlcNAc enhances CD8+ T cell-mediated killing of breast cancer by suppressing PD-L1 expression and its binding to PD-1

description: Supplementary Material 4
DOI: 10.15468/dl.f8vjjd
title: Occurrence Download

description: A dataset containing 290 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spiraea thunbergii",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 290 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012986-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w74a7j
title: Occurrence Download

description: A dataset containing 2316 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solanum nigrum",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2316 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012987-250802193616735/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.29826253
title: Additional file 1 of Immunofluorescence analysis reveals no increased seroprevalence of anti-Bartonella schoenbuchensis-IgG antibodies in German forest workers

description: Supplementary material 1: Supplementary Table 1: Identification of immunoreactive bands by LC–MS/MS. The table lists the confidence of the identification (protein false discovery rate [FDR] Confidence: Combined), the protein accession ID (Accession), the protein name (Description), the calculated peptide coverage (Coverage [%]), the number of peptides identified (# Peptides), the number of protein unique peptides identified (# Unique Peptides), the calculated protein length based on the sequence database (#AAs), the calculated molecular weight based on the sequence database (MW [kDA]), the relative protein abundance in each gel band (Abundance) and whether a protein has been identified in a given sample or not [high, peak found or not found].
DOI: 10.6084/m9.figshare.29826253.v1
title: Additional file 1 of Immunofluorescence analysis reveals no increased seroprevalence of anti-Bartonella schoenbuchensis-IgG antibodies in German forest workers

description: Supplementary material 1: Supplementary Table 1: Identification of immunoreactive bands by LC–MS/MS. The table lists the confidence of the identification (protein false discovery rate [FDR] Confidence: Combined), the protein accession ID (Accession), the protein name (Description), the calculated peptide coverage (Coverage [%]), the number of peptides identified (# Peptides), the number of protein unique peptides identified (# Unique Peptides), the calculated protein length based on the sequence database (#AAs), the calculated molecular weight based on the sequence database (MW [kDA]), the relative protein abundance in each gel band (Abundance) and whether a protein has been identified in a given sample or not [high, peak found or not found].
DOI: 10.6084/m9.figshare.29826256
title: Additional file 1 of Toxoplasma gondii-induced host’s high secretion of 25-hydroxycholesterol for immunoprotection

description: Additional file 1: The primers used in the qRT-PCR experiment
DOI: 10.6084/m9.figshare.29826256.v1
title: Additional file 1 of Toxoplasma gondii-induced host’s high secretion of 25-hydroxycholesterol for immunoprotection

description: Additional file 1: The primers used in the qRT-PCR experiment
DOI: 10.15468/dl.bjn6qf
title: Occurrence Download

description: A dataset containing 745406 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations, MVZ Mammal Collection (Arctos), SDNHM Birds Collection, SBMNH Vertebrate Zoology, Great Backyard Bird Count, LACM Vertebrate Collection, MVZ Bird Collection (Arctos), CAS Ornithology (ORN), WFVZ Bird Collections)",
 "GadmGid is USA.5_1",
 "TaxonKey is one of (Athene cunicularia, Vulpes macrotis mutica, Podilymbus podiceps)"
 ]
}

 The dataset includes 745406 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012962-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15029988
title: R2Vul - Data and Models

description: This Zenodo repository contains the datasets and models for our paper "R2Vul: Learning to Reason about Software Vulnerabilities with Reinforcement Learning and Structured Reasoning Distillation". 

Datasets

raw_dataset.json - the raw dataset mined from NVD.

r2vul_dataset.zip - the dataset used for fine-tuning and testing.

external_java_test.zip - the external, manually annotated Java dataset (RQ2).

Models and Checkpoints

cls.zip - includes all models checkpoints fine-tuned using CLS.

sft.zip - includes all models checkpoints fine-tuned using SFT.

orpo.zip - includes all models checkpoints fine-tuned using ORPO (R2Vul).

MSIVD.zip - downloaded from https://zenodo.org/records/11403208 (codellama-13b - bigvul_expl).

VulLLM.zip - downloaded from https://zenodo.org/records/10677069 (codellama-13b-multi-r16-2048).