Thermal transport properties obtained through first principles calculations for CoSb3 and Ca-CoSb3 at different pressures.

SaaS Pricing Evaluation Corpus for Temporal Representation & Analysis (SPECTRA)The aim of this repository is to centralize the dataset including the iPricings modeled by the authors to write the paper: "Racing the Market: An Industry Support Analysis for Pricing-Driven DevOps in SaaS" for ICSOC 2024.Available iPricingsThe SaaS of the following table are the ones that have been used in the original paper. The following symbols are used to indicate the status of the version of the iPricings from a particular SaaS for the indicated year:✅: The SaaS is modeled for the indicated year.✖️: There is a snapshot, but a clear feature list cannot be extracted. ❌: There isn't a snapshot for the SaaS in the indicated year.SaaS201920202021202220232024ClickUp✅✅✅✅✅✅Microsoft 365✅✅✅✅✅✅Salesforce✅✅✅✅✅✅Slack✅✅❌❌✅✅Buffer✅✅✅✅✅✅Hypercontext❌❌✅✅✅✅Notion✖️✖️✅✅✅✅OpenPhone❌✅✅✅✅✅Pumble❌❌✅✅✅✅Tableau✅✅✅✅✅✅Quip✅✅✅✅✅✅Mailchimp✅✅✅✅✅✅Deskera❌❌✅✅✅✅UserGuiding❌✅✅✅✅✅Crowdcast❌✅✅✅✅✅Planable✅✅✅✅✅✅Databox✅✅✅✅✅✅Trustmary❌✅✅✅✅✅Evernote✅✅✅✅✅✅Canva✅✅✅✅✅✅Clockify✅✅✅✅✅✅GitHub✅✅✅✅✅✅Figma✅✅✅✅✅✅Jira✅✅✅✅✅✅Dropbox✖️✖️✅✅✅✅Overleaf✅✅✅✅✅✅Postman❌✅✅✅✅✅Zapier✅✅❌✅✅✅Box✅✅✅✅✅✅Wrike✅✅✅✅✅✅

SaaS Pricing Evaluation Corpus for Temporal Representation & Analysis (SPECTRA)The aim of this repository is to centralize the dataset including the iPricings modeled by the authors to write the paper: "Racing the Market: An Industry Support Analysis for Pricing-Driven DevOps in SaaS" for ICSOC 2024.In this version, the authors from the paper "Automated Analysis of Pricings in SaaS-Based Information Systems" from CAiSE 2025 have manually curated some of the iPricings from the previous version after applying automated validation.Available iPricingsThe SaaS of the following table are the ones that have been used in the original paper. The following symbols are used to indicate the status of the version of the iPricings from a particular SaaS for the indicated year:✅: The SaaS is modeled for the indicated year.✖️: There is a snapshot, but a clear feature list cannot be extracted. ❌: There isn't a snapshot for the SaaS in the indicated year.SaaS201920202021202220232024ClickUp✅✅✅✅✅✅Microsoft 365✅✅✅✅✅✅Salesforce✅✅✅✅✅✅Slack✅✅❌❌✅✅Buffer✅✅✅✅✅✅Hypercontext❌❌✅✅✅✅Notion✖️✖️✅✅✅✅OpenPhone❌✅✅✅✅✅Pumble❌❌✅✅✅✅Tableau✅✅✅✅✅✅Quip✅✅✅✅✅✅Mailchimp✅✅✅✅✅✅Deskera❌❌✅✅✅✅UserGuiding❌✅✅✅✅✅Crowdcast❌✅✅✅✅✅Planable✅✅✅✅✅✅Databox✅✅✅✅✅✅Trustmary❌✅✅✅✅✅Evernote✅✅✅✅✅✅Canva✅✅✅✅✅✅Clockify✅✅✅✅✅✅GitHub✅✅✅✅✅✅Figma✅✅✅✅✅✅Jira✅✅✅✅✅✅Dropbox✖️✖️✅✅✅✅Overleaf✅✅✅✅✅✅Postman❌✅✅✅✅✅Zapier✅✅❌✅✅✅Box✅✅✅✅✅✅Wrike✅✅✅✅✅✅

SaaS Pricing Evaluation Corpus for Temporal Representation & Analysis (SPECTRA)The aim of this repository is to centralize the dataset including the iPricings modeled by the authors to write the paper: "Racing the Market: An Industry Support Analysis for Pricing-Driven DevOps in SaaS" for ICSOC 2024.In this version, the authors from the paper "A-MINT: An LLM Pipeline for Automated Modeling of iPricings from SaaS Pricing Pages" from ICSOC 2025 have manually curated some of the iPricings from the previous version after a closer look to the original pricing pages.Available iPricingsThe SaaS of the following table are the ones that have been used in the original paper. The following symbols are used to indicate the status of the version of the iPricings from a particular SaaS for the indicated year:✅: The SaaS is modeled for the indicated year.✖️: There is a snapshot, but a clear feature list cannot be extracted. ❌: There isn't a snapshot for the SaaS in the indicated year.SaaS201920202021202220232024ClickUp✅✅✅✅✅✅Microsoft 365✅✅✅✅✅✅Salesforce✅✅✅✅✅✅Slack✅✅❌❌✅✅Buffer✅✅✅✅✅✅Hypercontext❌❌✅✅✅✅Notion✖️✖️✅✅✅✅OpenPhone❌✅✅✅✅✅Pumble❌❌✅✅✅✅Tableau✅✅✅✅✅✅Quip✅✅✅✅✅✅Mailchimp✅✅✅✅✅✅Deskera❌❌✅✅✅✅UserGuiding❌✅✅✅✅✅Crowdcast❌✅✅✅✅✅Planable✅✅✅✅✅✅Databox✅✅✅✅✅✅Trustmary❌✅✅✅✅✅Evernote✅✅✅✅✅✅Canva✅✅✅✅✅✅Clockify✅✅✅✅✅✅GitHub✅✅✅✅✅✅Figma✅✅✅✅✅✅Jira✅✅✅✅✅✅Dropbox✖️✖️✅✅✅✅Overleaf✅✅✅✅✅✅Postman❌✅✅✅✅✅Zapier✅✅❌✅✅✅Box✅✅✅✅✅✅Wrike✅✅✅✅✅✅

SaaS Pricing Evaluation Corpus for Temporal Representation & Analysis (SPECTRA)The aim of this repository is to centralize the dataset including the iPricings modeled by the authors to write the paper: "Racing the Market: An Industry Support Analysis for Pricing-Driven DevOps in SaaS" for ICSOC 2024.In this version, the authors from the paper "A-MINT: An LLM Pipeline for Automated Modeling of iPricings from SaaS Pricing Pages" from ICSOC 2025 have manually curated some of the iPricings from the previous version after a closer look to the original pricing pages.Available iPricingsThe SaaS of the following table are the ones that have been used in the original paper. The following symbols are used to indicate the status of the version of the iPricings from a particular SaaS for the indicated year:✅: The SaaS is modeled for the indicated year.✖️: There is a snapshot, but a clear feature list cannot be extracted. ❌: There isn't a snapshot for the SaaS in the indicated year.SaaS201920202021202220232024ClickUp✅✅✅✅✅✅Microsoft 365✅✅✅✅✅✅Salesforce✅✅✅✅✅✅Slack✅✅❌❌✅✅Buffer✅✅✅✅✅✅Hypercontext❌❌✅✅✅✅Notion✖️✖️✅✅✅✅OpenPhone❌✅✅✅✅✅Pumble❌❌✅✅✅✅Tableau✅✅✅✅✅✅Quip✅✅✅✅✅✅Mailchimp✅✅✅✅✅✅Deskera❌❌✅✅✅✅UserGuiding❌✅✅✅✅✅Crowdcast❌✅✅✅✅✅Planable✅✅✅✅✅✅Databox✅✅✅✅✅✅Trustmary❌✅✅✅✅✅Evernote✅✅✅✅✅✅Canva✅✅✅✅✅✅Clockify✅✅✅✅✅✅GitHub✅✅✅✅✅✅Figma✅✅✅✅✅✅Jira✅✅✅✅✅✅Dropbox✖️✖️✅✅✅✅Overleaf✅✅✅✅✅✅Postman❌✅✅✅✅✅Zapier✅✅❌✅✅✅Box✅✅✅✅✅✅Wrike✅✅✅✅✅✅

Accurately identifying evolutionarily significant units (ESUs) is crucial for conservation planning, especially for species like pangolins threatened by overhunting and habitat loss. ESUs help categorize different pangolin populations, aiding in understanding their genetic diversity and distribution, which is vital for targeted conservation efforts. This research generated mitochondrial genomes from historical museum specimens of Sunda pangolins (Manis javanica) from underrepresented locations, uncovering a new evolutionary lineage from the Mentawai Islands. The novel sequences provide resources for forensic labs tracing the origin of confiscated scales and limit the potential distribution of the "mysterious pangolin." The Mentawai Archipelago represents a divergent ESU with a small distribution, important for conservation planning. Additionally, this research confirmed the presence of two major M. javanica lineages in Java and extended the known distribution to Bali and East Kalimantan. These findings support the "Out of Borneo" hypothesis and suggest a recent colonization of pangolins across Indochina and west Sundaland. This study also highlights the need for further investigation into the taxonomic status of these lineages and their management as subspecies.

Refined HER2 Annotations for BCI DatasetThis repository contains a metadata file listing paired HE/IHC image filenames from the original BCI Dataset, along with refined HER2 annotations based on expert pathological review.## 📁 File ContentsFilename: BCI_metadata_pairs_refined.csv| Column             | Description                                                                 ||--------------------|-----------------------------------------------------------------------------|| pair_id          | Unique identifier for each image pair                                       || partition        | Data split (train or test)                                              || file_name_he     | Filename of the HE image (as in original BCI dataset)                       || file_name_ihc    | Filename of the IHC image (as in original BCI dataset)                      || her2_level       | Refined HER2 category (0, 1+, 2+, 3+) based on pathologist revision of the patch |## 🧠 PurposeThis metadata provides updated HER2 annotations for a subset of the BCI Dataset, filtered and reviewed by a professional pathologist. It is intended to improve training, benchmarking, and reproducibility in research using BCI-based histopathological image analysis.## ⚠️ Important Notes- No image data is included in this repository.- Filenames refer to the original BCI Dataset, which must be obtained separately.- HER2 levels included here are revised annotations at patch-level, not the original labels from the dataset (at WSI-level).## 📚 Citation RequirementsIf you use this metadata, you must also cite:1. The original dataset:    bibtex    @article{liu2022bci,      title={BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix},      author={Liu, Shengjie and Zhu, Chuang and Xu, Feng and Jia, Xinyu and Shi, Zhongyue and Jin, Mulan},      journal={arXiv preprint arXiv:2204.11425},      year={2022}    }    2. This metadata resource (Zenodo DOI), as the source of the refined patch-level HER2 annotations. Please include the DOI of this Zenodo record in any publication or derived work.## 📝 LicenseThis metadata is provided under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.  It is intended for non-commercial academic use only. Redistribution or use of the original image data must comply with the license of the original BCI Dataset.## ✉️ ContactFor questions or collaboration inquiries, please contact the maintainers via the Zenodo page or institutional email.

Thermal transport properties obtained through first principles calculations for CoSb3 and Ca-CoSb3 at different pressures.

Refined HER2 Annotations for BCI DatasetThis repository contains a metadata file listing paired HE/IHC image filenames from the original BCI Dataset, along with refined HER2 annotations based on expert pathological review.## 📁 File ContentsFilename: BCI_metadata_pairs_refined.csv| Column             | Description                                                                 ||--------------------|-----------------------------------------------------------------------------|| pair_id          | Unique identifier for each image pair                                       || partition        | Data split (train or test)                                              || file_name_he     | Filename of the HE image (as in original BCI dataset)                       || file_name_ihc    | Filename of the IHC image (as in original BCI dataset)                      || her2_level       | Refined HER2 category (0, 1+, 2+, 3+) based on pathologist revision of the patch |## 🧠 PurposeThis metadata provides updated HER2 annotations for a subset of the BCI Dataset, filtered and reviewed by a professional pathologist. It is intended to improve training, benchmarking, and reproducibility in research using BCI-based histopathological image analysis.## ⚠️ Important Notes- No image data is included in this repository.- Filenames refer to the original BCI Dataset, which must be obtained separately.- HER2 levels included here are revised annotations at patch-level, not the original labels from the dataset (at WSI-level).## 📚 Citation RequirementsIf you use this metadata, you must also cite:1. The original dataset:    bibtex    @article{liu2022bci,      title={BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix},      author={Liu, Shengjie and Zhu, Chuang and Xu, Feng and Jia, Xinyu and Shi, Zhongyue and Jin, Mulan},      journal={arXiv preprint arXiv:2204.11425},      year={2022}    }    2. This metadata resource (Zenodo DOI), as the source of the refined patch-level HER2 annotations. Please include the DOI of this Zenodo record in any publication or derived work.## 📝 LicenseThis metadata is provided under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.  It is intended for non-commercial academic use only. Redistribution or use of the original image data must comply with the license of the original BCI Dataset.## ✉️ ContactFor questions or collaboration inquiries, please contact the maintainers via the Zenodo page or institutional email.

This dataset contains three Excel spreadsheets related to the photoidentification study of common dolphins (Delphinus delphis) in the Bay of Algeciras–Gibraltar. The files include:Catalogue_Ddelphis_BA_G_2017_20.xlsx – photographic identification of individual dolphins, including image quality and distinctiveness.Number_Captures_Recaptures_Ddelphis_BA_G_2017_20.xlsx – the number of sightings and resightings per dolphin, with dates of first and last observation, as well as records of putative mothers photographed alongside a calf or neonate.Captures_Recaptures_Ddelphis_BA_G_2017_20.xlsx – alphanumeric codes for all sightings and resightings, with representative photographs of each individual highlighted in bold.The dataset was compiled as part of a research project on the ecology and conservation of D. delphis in the Bay of Algeciras–Gibraltar. It provides baseline information for population monitoring, photo-identification studies, and conservation planning in the western Mediterranean.