cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22002/e9emb-xeb23
title: Thermococcus koakarensis

description: Imaging Thermococcus koakarensis flagella
description: <strong>Tilt Series Date:</strong> 2016-08-25</p>
<strong>Data Taken By:</strong> Debnath Ghosal</p>
<strong>Species / Specimen:</strong> Thermococcus kodakarensis</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.5°, constant angular increment, dosage: 160.0 eV/Å²,  defocus: -6.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</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 to us by Robert Gunsalus, UCLA. Data collected and processed by Kiwoo and Debnath Ghosal</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Standard Tk medium with starch and sulfur</p>
<strong>Sample Preparation:</strong> 8 grids were frozen for the this strain. Vitrobot (MK iv) settings: 100% humidity, 4µl sample, Blot force 6, blot time 3.5 sec. Wait time 8 sec. Drain time 1 sec. Ethane/propane mix. Grid: Quantifoil Cu 2/2 200. Add gold to cells prior to freezing: 1ul of gold to 4 ul of cells, freeze.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2016-08-25-1/rawdata/</p>Tk_250820160001.mrc,  Tilt Series (Pixel Size 0.39 nm), 2.3 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2016-08-25-1/rawdata/Tk_250820160001.mrc"
        > <i class="download icon"></i> Download </a></p>

        Tk_250820160001_full.rec,  Reconstruction (Pixel Size 1.56 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2016-08-25-1/3dimage_78567/Tk_250820160001_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/5sxx5-nrj98
title: Coxiella_ Verocells_28dpi

description: Coxiella burnetii Nine Mile phase II clone 4 (NMIIC4) strain. Coxiella cells purified from infected Vero cells.
description: <strong>Tilt Series Date:</strong> 2017-09-25</p>
<strong>Data Taken By:</strong> Debnath Ghosal</p>
<strong>Species / Specimen:</strong> Coxiella burnetii</p>
<strong>Strain:</strong> Nine Mile phase II clone 4</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 2°, constant angular increment, dosage: 130.0 eV/Å²,  defocus: -7.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</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 to us by Robert Heinzen. Data collected and processed by Debnath Ghosal using Caltech tomography pipeline.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Refer to Heinzen lab.</p>
<strong>Sample Preparation:</strong> Freezing: 100% humidity, 4µl sample, Blot force 6, blot time 4 sec. Wait time 0 sec. Drain time 1 sec. Ethane/propane mix. Grid: Quantifoil Cu 2/2 200. Add gold to cells prior to freezing: 1ul of gold to 4 ul of cells, freeze.T</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-09-25-6/rawdata/</p>Cb_vero_201709250006.mrc,  Tilt Series (Pixel Size 0.39 nm), 1.7 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-09-25-6/rawdata/Cb_vero_201709250006.mrc"
        > <i class="download icon"></i> Download </a></p>

        Cb_vero_201709250006_part61_14.rec,  Reconstruction (Pixel Size 1.56 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-09-25-6/3dimage_88394/Cb_vero_201709250006_part61_14.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.5281/zenodo.16937570
title: Robust Change Captioning in Remote Sensing: SECOND-CC Dataset and MModalCC Framework

description: 📢 This dataset is published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2025.🔗 IEEE Xplore Link📄 DOI: 10.1109/JSTARS.2025.3600613

Abstract: Existing remote sensing change captioning (RSICC) methods often fail under challenges like illumination differences, viewpoint changes, and blur effects, leading to inaccuracies, especially in no-change regions. Moreover, images acquired at different spatial resolutions and with registration errors tend to affect the captions. To address these issues, we introduce SECOND-CC, a novel RSICC dataset featuring high-resolution RGB image pairs, semantic segmentation maps, and diverse real-world scenarios. SECOND-CC contains 6 041 pairs of bitemporal remote sensing images and 30 205 sentences describing the differences between the images. Additionally, we propose MModalCC, a multimodal framework that integrates semantic and visual data using advanced attention mechanisms, including Cross-Modal Cross Attention and Multimodal Gated Cross Attention. In addition, we adapt MModalCC to handle noisy semantic inputs by integrating a Semantic Change Detector, improving its robustness for real-world applications. Detailed ablation studies and attention visualizations further demonstrate its effectiveness and ability to address the challenges of RSICC. Comprehensive experiments show that MModalCC outperforms state-of-the-art RSICC methods, including RSICCformer, Chg2Cap, and PSNet with +4.6% improvement on BLEU4 score and +9.6% improvement on CIDEr score in SECOND-CC dataset. MModalCC was further validated on the LEVIR-MCI benchmark, where it achieved an average S∗m score of 83.51, significantly outperforming previous state-of-the-art methods. We will make our dataset and codebase publicly available to facilitate future research at https://github.com/ChangeCapsInRS/SecondCC.
DOI: 10.5281/zenodo.16937571
title: Robust Change Captioning in Remote Sensing: SECOND-CC Dataset and MModalCC Framework

description: 📢 This dataset is published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2025.🔗 IEEE Xplore Link📄 DOI: 10.1109/JSTARS.2025.3600613

Abstract: Existing remote sensing change captioning (RSICC) methods often fail under challenges like illumination differences, viewpoint changes, and blur effects, leading to inaccuracies, especially in no-change regions. Moreover, images acquired at different spatial resolutions and with registration errors tend to affect the captions. To address these issues, we introduce SECOND-CC, a novel RSICC dataset featuring high-resolution RGB image pairs, semantic segmentation maps, and diverse real-world scenarios. SECOND-CC contains 6 041 pairs of bitemporal remote sensing images and 30 205 sentences describing the differences between the images. Additionally, we propose MModalCC, a multimodal framework that integrates semantic and visual data using advanced attention mechanisms, including Cross-Modal Cross Attention and Multimodal Gated Cross Attention. In addition, we adapt MModalCC to handle noisy semantic inputs by integrating a Semantic Change Detector, improving its robustness for real-world applications. Detailed ablation studies and attention visualizations further demonstrate its effectiveness and ability to address the challenges of RSICC. Comprehensive experiments show that MModalCC outperforms state-of-the-art RSICC methods, including RSICCformer, Chg2Cap, and PSNet with +4.6% improvement on BLEU4 score and +9.6% improvement on CIDEr score in SECOND-CC dataset. MModalCC was further validated on the LEVIR-MCI benchmark, where it achieved an average S∗m score of 83.51, significantly outperforming previous state-of-the-art methods. We will make our dataset and codebase publicly available to facilitate future research at https://github.com/ChangeCapsInRS/SecondCC.
DOI: 10.15468/dl.2t7hub
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Wisteria sinensis",
 "Country is Armenia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050209-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/vcpg-qm58
title: "Expert annotated radiology Reports for Knee OAI dataset"

description: "This dataset provides 255 manually annotated radiology reports corresponding to knee X-ray scans from the Osteoarthritis Initiative (OAI). The original imaging data (DICOM format) is not included here and can be obtained from the official OAI website [1]. The reports are evenly distributed across the five Kellgren\u2013Lawrence (KL) grades of osteoarthritis, with 51 reports per grade, enabling balanced analysis across disease severity levels.The dataset is designed to support research in radiology report generation and other natural language processing (NLP) tasks, particularly for tasks such as: (i) training and evaluating NLP\/multimodal models on radiology text, (ii) linking textual annotations with OAI imaging data, and (iii) developing clinical decision support and automated diagnosis methods for knee osteoarthritis (KOA)."
DOI: 10.34808/a315-3d88
title: Measurement of cytotoxicity using the MTT test of androstendione in a range of selected concentrations

description: The data set presents the results of cytotoxicity (using theThiazolyl Blue Tetrazolium Bromide (MTT) assay) of androstendione over a range of selected concentrations in a study on human HT29 adenocarcinoma cells.
The results and parameters of the study are presented in the publication Monika Wieczerzak, Jacek Namieśnik & Błażej Kudłak (2019): Genotoxicity of selected pharmaceuticals, their binary mixtures, and varying environmental conditions – study with human adenocarcinoma cancer HT29 cell line, Drug and Chemical ToxicologyTo link to this article: https://doi.org/10.1080/01480545.2018.1529783
Results performed in 2018/19
DOI: 10.11588/portal.gsi.68b177ba47c05
title: Komissionshaus „Trapet & Heiligenthal“, Paris
DOI: 10.21954/ou.rd.29957651
title: REDEFINE (Germany): Interview with a consultant A

description: This document forms part of the REDEFINE research project (ERC Grant No. 885475), funded by the European Research Council. REDEFINE focuses on the dynamics and effects of China’s large-scale infrastructure investments in Europe, with a focus on Germany, Greece, Hungary, and the UK. Through multi-sited fieldwork and interdisciplinary analysis, the project seeks to understand the evolving relations between China and Europe and to assess what this means for politics, economic growth and development more broadly.This anonymised transcript presents a semi-structured interview conducted with a consultant A. The conversation contributes to REDEFINE’s case study of COSCO’s investment in Duisburg Gateway Terminal. All identifying details have been removed, and informed consent for participation and data use was obtained.
DOI: 10.21954/ou.rd.29957651.v1
title: REDEFINE (Germany): Interview with a consultant A

description: This document forms part of the REDEFINE research project (ERC Grant No. 885475), funded by the European Research Council. REDEFINE focuses on the dynamics and effects of China’s large-scale infrastructure investments in Europe, with a focus on Germany, Greece, Hungary, and the UK. Through multi-sited fieldwork and interdisciplinary analysis, the project seeks to understand the evolving relations between China and Europe and to assess what this means for politics, economic growth and development more broadly.This anonymised transcript presents a semi-structured interview conducted with a consultant A. The conversation contributes to REDEFINE’s case study of COSCO’s investment in Duisburg Gateway Terminal. All identifying details have been removed, and informed consent for participation and data use was obtained.
DOI: 10.15468/dl.7e7s8a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chiloglanis carnosus, Chiloglanis congicus, Chiloglanis deckenii, Chiloglanis devosi, Chiloglanis dialloi, Chiloglanis disneyi, Chiloglanis elisabethianus, Chiloglanis emarginatus, Chiloglanis fasciatus, Chiloglanis harbinger, Chiloglanis kabaensis, Chiloglanis kalambo, Chiloglanis kerioensis, Chiloglanis kolente, Chiloglanis lamottei, Chiloglanis loffabrevum, Chiloglanis longibarbis, Chiloglanis lufirae, Chiloglanis lukugae, Chiloglanis macropterus, Chiloglanis marlieri, Chiloglanis mbozi, Chiloglanis microps, Chiloglanis modjensis, Chiloglanis mongoensis, Chiloglanis neumanni, Chiloglanis niger, Chiloglanis niloticus, Chiloglanis normani, Chiloglanis nzerekore, Chiloglanis occidentalis, Chiloglanis paratus, Chiloglanis pezoldi, Chiloglanis pojeri, Chiloglanis polyodon, Chiloglanis polypogon, Chiloglanis pretoriae, Chiloglanis reticulatus, Chiloglanis rukwaensis, Chiloglanis ruziziensis, Chiloglanis sanagaensis, Chiloglanis sardinhai, Chiloglanis somereni, Chiloglanis swierstrai, Chiloglanis trilobatus, Chiloglanis tweddlei, Chiloglanis voltae, Chiloglanis waterloti, Chilotilapia euchilus, Chilotilapia rhoadesii, Chindongo ater, Chindongo bellicosus, Chindongo cyaneus, Chindongo demasoni, Chindongo flavus, Chindongo heteropictus, Maylandia heteropicta, Chindongo longior, Chindongo minutus, Chindongo saulosi, Chromidotilapia cavalliensis, Chromidotilapia elongata, Chromidotilapia guntheri, Chromidotilapia kingsleyae, Chromidotilapia linkei, Chromidotilapia mamonekenei, Chromidotilapia melaniae, Chromidotilapia mrac, Chromidotilapia nana, Chromidotilapia regani, Chromidotilapia schoutedeni, Chrysichthys aluuensis, Chrysichthys ansorgii, Chrysichthys auratus, Chrysichthys bocagii, Chrysichthys brachynema, Chrysichthys brevibarbis, Chrysichthys cranchii, Chrysichthys dageti, Chrysichthys delhezi, Chrysichthys dendrophorus, Chrysichthys duttoni, Chrysichthys furcatus, Chrysichthys nigrodigitatus, Chrysichthys grandis, Chrysichthys graueri, Chrysichthys habereri, Chrysichthys helicophagus, Chrysichthys hildae, Chrysichthys johnelsi, Chrysichthys laticeps, Chrysichthys levequei, Chrysichthys longibarbis, Chrysichthys longidorsalis, Chrysichthys longipinnis, Chrysichthys mabusi, Chrysichthys macropterus, Chrysichthys maurus, Chrysichthys nyongensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((59.3519 -17.3042,59.9568 -17.101,60.2121 -16.521,59.9717 -15.9401,59.2192 -15.9401,58.9855 -16.8095,59.1248 -17.1702,59.3519 -17.3042))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006835-250827131500795/datasets/export for details.
DOI: 10.21954/ou.rd.29957477
title: REDEFINE (Germany): Interview with a board member C of company (1st)

description: This document forms part of the REDEFINE research project (ERC Grant No. 885475), funded by the European Research Council. REDEFINE focuses on the dynamics and effects of China’s large-scale infrastructure investments in Europe, with a focus on Germany, Greece, Hungary, and the UK. Through multi-sited fieldwork and interdisciplinary analysis, the project seeks to understand the evolving relations between China and Europe and to assess what this means for politics, economic growth and development more broadly.This anonymised transcript presents a semi-structured interview conducted with a board member C of company (1<sup>st</sup>). The conversation contributes to REDEFINE’s case study of COSCO’s investment in Duisburg Gateway Terminal. All identifying details have been removed, and informed consent for participation and data use was obtained.
DOI: 10.21954/ou.rd.29957477.v1
title: REDEFINE (Germany): Interview with a board member C of company (1st)

description: This document forms part of the REDEFINE research project (ERC Grant No. 885475), funded by the European Research Council. REDEFINE focuses on the dynamics and effects of China’s large-scale infrastructure investments in Europe, with a focus on Germany, Greece, Hungary, and the UK. Through multi-sited fieldwork and interdisciplinary analysis, the project seeks to understand the evolving relations between China and Europe and to assess what this means for politics, economic growth and development more broadly.This anonymised transcript presents a semi-structured interview conducted with a board member C of company (1<sup>st</sup>). The conversation contributes to REDEFINE’s case study of COSCO’s investment in Duisburg Gateway Terminal. All identifying details have been removed, and informed consent for participation and data use was obtained.
DOI: 10.15468/dl.h9kykq
title: Occurrence Download

description: A dataset containing 677 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acridotheres tristis",
 "Country is Indonesia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 677 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006836-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nmk4p5
title: Occurrence Download

description: A dataset containing 11274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Procambarus clarkii, Procambarus virginalis, Procambarus acutus, Faxonius limosus, Pacifastacus leniusculus, Faxonius virilis, Faxonius immunis, Faxonius juvenilis, Faxonius rusticus, Pontastacus leptodactylus)",
 "Country is one of (Belgium)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 11274 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006837-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21954/ou.rd.29957450
title: REDEFINE (Germany): Interview with MP G

description: This document forms part of the REDEFINE research project (ERC Grant No. 885475), funded by the European Research Council. REDEFINE focuses on the dynamics and effects of China’s large-scale infrastructure investments in Europe, with a focus on Germany, Greece, Hungary, and the UK. Through multi-sited fieldwork and interdisciplinary analysis, the project seeks to understand the evolving relations between China and Europe and to assess what this means for politics, economic growth and development more broadly.This anonymised transcript presents a semi-structured interview conducted with an MP G. The conversation contributes to REDEFINE’s case study of COSCO’s investment in Duisburg Gateway Terminal. All identifying details have been removed, and informed consent for participation and data use was obtained.
DOI: 10.21954/ou.rd.29957450.v1
title: REDEFINE (Germany): Interview with MP G

description: This document forms part of the REDEFINE research project (ERC Grant No. 885475), funded by the European Research Council. REDEFINE focuses on the dynamics and effects of China’s large-scale infrastructure investments in Europe, with a focus on Germany, Greece, Hungary, and the UK. Through multi-sited fieldwork and interdisciplinary analysis, the project seeks to understand the evolving relations between China and Europe and to assess what this means for politics, economic growth and development more broadly.This anonymised transcript presents a semi-structured interview conducted with an MP G. The conversation contributes to REDEFINE’s case study of COSCO’s investment in Duisburg Gateway Terminal. All identifying details have been removed, and informed consent for participation and data use was obtained.
DOI: 10.34808/e24t-sy62
title: Measurement of cytotoxicity using the MTT test of progesterone in a range of selected concentrations

description: The data set presents the results of cytotoxicity (using theThiazolyl Blue Tetrazolium Bromide (MTT) assay) of progesterone over a range of selected concentrations in a study on human HT29 adenocarcinoma cells.
The results and parameters of the study are presented in the publication Monika Wieczerzak, Jacek Namieśnik & Błażej Kudłak (2019): Genotoxicity of selected pharmaceuticals, their binary mixtures, and varying environmental conditions – study with human adenocarcinoma cancer HT29 cell line, Drug and Chemical ToxicologyTo link to this article: https://doi.org/10.1080/01480545.2018.1529783
Results performed in 2018/19
DOI: 10.15468/mdez5p
title: Plecoptera (NATUREUM:DZ-PLECO) of Muséum cantonal des sciences naturelles, Lausanne, Département Zoologie
DOI: 10.15468/dl.yvfrmz
title: Occurrence Download

description: A dataset containing 1958 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leucostele chiloensis"
 ]
}

 The dataset includes 1958 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006838-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.43938p
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acridotheres tristis",
 "Country is Iraq",
 "HasCoordinate is true"
 ]
}

 The dataset includes 52 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006839-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.