cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10635798
title: Data from: Future projections of biodiversity and ecosystem services in Europe with two integrated assessment models

description: Projections of future changes in biodiversity and ecosystem services (BES) are of increasing importance to inform policy and decision-making on options for conservation and sustainable use of BES. Scenario-based modelling is a powerful tool to assess these future changes. This study assesses the consequences for BES in Europe under four socio-environmental scenarios designed from a BES perspective. We evaluated these scenarios using two integrated assessment models (IMAGE-GLOBIO and CLIMSAVE IAP, respectively). 

Veerkamp, C. J., Dunford. R. W., Harrison, P. A., Mandryk, M., Priess, J. A., Schipper, A. M., Stehfest, E., & Alkemade, R. (2020). Future projections of biodiversity and ecosystem services in Europe with two integrated assessment models. Regional Environmental Change, 20, 103. https://doi.org/10.1007/s10113-020-01685-8
DOI: 10.6084/m9.figshare.24532826.v1
title: Usefulness of an RNA extraction-free test for the multiplexed detection of <i>ALK</i>, <i>ROS1</i>, and <i>RET</i> Gene Fusions in Real Life FFPE Specimens of Non-Small Cell Lung Cancers

description: <i>ALK</i>, <i>ROS1</i> and <i>RET</i> rearrangements occur, respectively, in 5%, 2%, and 1% non-small cell lung cancers (NSCLC). ALK and ROS1 fusion proteins detection by immunohistochemistry (IHC) has been validated for rapid patient screening, but <i>ROS1</i> fusions need to be confirmed by another technique and no RET IHC test is available for clinical use. We report herein the usefulness of the HTG EdgeSeq Assay, an RNA extraction-free test combining a quantitative nuclease protection assay with NGS, for the detection of <i>ALK</i>, <i>ROS1</i> and <i>RET</i> fusions from ‘real-life’ small NSCLC samples. A total of 203 FFPE samples were collected from 11 centers. They included 143 rearranged NSCLC (87 <i>ALK</i>, 39 <i>ROS1</i>, 17 <i>RET</i>) and 60 <i>ALK</i>-<i>ROS1</i>-<i>RET</i> negative controls. The assay had a specificity of 98% and a sensitivity for <i>ALK</i>, <i>ROS1</i> and <i>RET</i> fusions of 80%, 94% and 100% respectively. Among the 19 HTG-assay false negative samples, the preanalytical conditions were identified as the major factors impacting the assay efficiency. Overall, the HTG EdgeSeq assay offers comparable sensitivities and specificity than other RNA sequencing techniques, with the advantage that it can be used on very small and old samples collected multicentrically.
DOI: 10.6084/m9.figshare.24532826
title: Usefulness of an RNA extraction-free test for the multiplexed detection of <i>ALK</i>, <i>ROS1</i>, and <i>RET</i> Gene Fusions in Real Life FFPE Specimens of Non-Small Cell Lung Cancers

description: <i>ALK</i>, <i>ROS1</i> and <i>RET</i> rearrangements occur, respectively, in 5%, 2%, and 1% non-small cell lung cancers (NSCLC). ALK and ROS1 fusion proteins detection by immunohistochemistry (IHC) has been validated for rapid patient screening, but <i>ROS1</i> fusions need to be confirmed by another technique and no RET IHC test is available for clinical use. We report herein the usefulness of the HTG EdgeSeq Assay, an RNA extraction-free test combining a quantitative nuclease protection assay with NGS, for the detection of <i>ALK</i>, <i>ROS1</i> and <i>RET</i> fusions from ‘real-life’ small NSCLC samples. A total of 203 FFPE samples were collected from 11 centers. They included 143 rearranged NSCLC (87 <i>ALK</i>, 39 <i>ROS1</i>, 17 <i>RET</i>) and 60 <i>ALK</i>-<i>ROS1</i>-<i>RET</i> negative controls. The assay had a specificity of 98% and a sensitivity for <i>ALK</i>, <i>ROS1</i> and <i>RET</i> fusions of 80%, 94% and 100% respectively. Among the 19 HTG-assay false negative samples, the preanalytical conditions were identified as the major factors impacting the assay efficiency. Overall, the HTG EdgeSeq assay offers comparable sensitivities and specificity than other RNA sequencing techniques, with the advantage that it can be used on very small and old samples collected multicentrically.
DOI: 10.6084/m9.figshare.24559993
title: Cross-sectional risk models using quantitative fecal hemoglobin in colorectal cancer screening: a systematic review

description: Fecal Immunochemical Testing (FIT) is a central tool in colorectal cancer (CRC) screening. To improve the selection of individuals for colonoscopy, risk models combining FIT with additional CRC risk factors have been developed. This systematic review aims to provide an overview of the current noninvasive FIT-based risk models for CRC screening to facilitate future implementation. We performed a systematic literature search for risk models that combined quantitative fecal hemoglobin with clinical data or noninvasive biomarkers and that were intended for CRC screening. Risk of bias was assessed using the PROBAST tool. Twenty risk models reported across 29 publications were included. The overall risk of bias was high. In studies that compared risk models to FIT, 11/12 (92%) risk models had a significantly higher c-statistic than FIT only. 16/20 risk models (80%) had not been externally validated and only one model has been implemented so far. FIT-based risk models have the potential to improve the yield of CRC screening. Unfortunately, all included publications had a high risk of bias and most risk models have not yet been externally validated. The prospect of improved CRC screening with risk models should encourage more rigorous evaluation in existing screening programs.
DOI: 10.6084/m9.figshare.24559993.v1
title: Cross-sectional risk models using quantitative fecal hemoglobin in colorectal cancer screening: a systematic review

description: Fecal Immunochemical Testing (FIT) is a central tool in colorectal cancer (CRC) screening. To improve the selection of individuals for colonoscopy, risk models combining FIT with additional CRC risk factors have been developed. This systematic review aims to provide an overview of the current noninvasive FIT-based risk models for CRC screening to facilitate future implementation. We performed a systematic literature search for risk models that combined quantitative fecal hemoglobin with clinical data or noninvasive biomarkers and that were intended for CRC screening. Risk of bias was assessed using the PROBAST tool. Twenty risk models reported across 29 publications were included. The overall risk of bias was high. In studies that compared risk models to FIT, 11/12 (92%) risk models had a significantly higher c-statistic than FIT only. 16/20 risk models (80%) had not been externally validated and only one model has been implemented so far. FIT-based risk models have the potential to improve the yield of CRC screening. Unfortunately, all included publications had a high risk of bias and most risk models have not yet been externally validated. The prospect of improved CRC screening with risk models should encourage more rigorous evaluation in existing screening programs.
DOI: 10.6084/m9.figshare.24793181
title: Progress in the field of noninvasive diagnostics for colorectal cancer: a systematic review for the accuracy of blood-based biomarkers for detection of advanced pre-cancerous lesions

description: Early detection of pre-cancerous adenomas through screening can reduce colorectal cancer (CRC) incidence. Fecal immunochemical tests are commonly used, but have limited sensitivity for pre-cancerous lesions. Blood-based screening may improve test sensitivity. This systematic review and meta-analysis was conducted to evaluate the accuracy of blood-based biomarkers for detection of advanced pre-cancerous lesions. We present the accuracy of blood-based biomarkers for the detection of advanced pre-cancerous lesions. EMBASE, Web of Science and PubMed databases were searched, with study populations limited to adults diagnosed with advanced pre-cancerous lesions at colonoscopy, who had a blood-based biomarker test analyzed with reports of sensitivity and specificity. 69 studies were identified, which assessed 133 unique biomarkers sets. The best performing test was a panel of 6 miRNAs, with a sensitivity of 95% and specificity of 90% for advanced pre-cancerous lesions. Only 6 biomarkers demonstrated sensitivity ≥ 50% and specificity ≥ 90% for the detection of advanced pre-cancerous lesions. Many different blood-based biomarkers have been assessed for detection of advanced pre-cancerous lesions, but few have progressed beyond the discovery stage. While some biomarkers have reported high sensitivity and specificity, larger prospective studies in unbiased intended-use screening populations are required for validation.
DOI: 10.6084/m9.figshare.24793181.v1
title: Progress in the field of noninvasive diagnostics for colorectal cancer: a systematic review for the accuracy of blood-based biomarkers for detection of advanced pre-cancerous lesions

description: Early detection of pre-cancerous adenomas through screening can reduce colorectal cancer (CRC) incidence. Fecal immunochemical tests are commonly used, but have limited sensitivity for pre-cancerous lesions. Blood-based screening may improve test sensitivity. This systematic review and meta-analysis was conducted to evaluate the accuracy of blood-based biomarkers for detection of advanced pre-cancerous lesions. We present the accuracy of blood-based biomarkers for the detection of advanced pre-cancerous lesions. EMBASE, Web of Science and PubMed databases were searched, with study populations limited to adults diagnosed with advanced pre-cancerous lesions at colonoscopy, who had a blood-based biomarker test analyzed with reports of sensitivity and specificity. 69 studies were identified, which assessed 133 unique biomarkers sets. The best performing test was a panel of 6 miRNAs, with a sensitivity of 95% and specificity of 90% for advanced pre-cancerous lesions. Only 6 biomarkers demonstrated sensitivity ≥ 50% and specificity ≥ 90% for the detection of advanced pre-cancerous lesions. Many different blood-based biomarkers have been assessed for detection of advanced pre-cancerous lesions, but few have progressed beyond the discovery stage. While some biomarkers have reported high sensitivity and specificity, larger prospective studies in unbiased intended-use screening populations are required for validation.
DOI: 10.34740/kaggle/dsv/7737962
title: Indian Cities Distance Dataset
DOI: 10.25611/zcqg-jv13
title: College Student Mental Health and Personal Impact of the COVID-19 Pandemic
DOI: 10.25934/pr00009121
title: Biomarkers associated with response to monotherapy compared to combination therapy in cancers

description: Cancer affects around 18 million people worldwide. Unfortunately, for many types of cancer, no effective therapies exist. Even for cancers with available treatments, the majority of patients do not respond. Furthermore, we lack the ability to accurately identify and understand which patients will benefit most from specific therapies. Some progressing patients might benefit greatly from one therapy but not another.

Therefore, it's crucial to identify factors that can predict and help us understand which patients will benefit from which treatment. This would prevent assigning ineffective or potentially harmful therapies. We plan to use data from lung, bladder, skin, and kidney cancer to investigate how factors like age, type of medication, smoking history, and lab results might predict treatment response. To handle the complex nature of this data, which standard analysis techniques cannot address, we will employ advanced computational methods capable of analyzing massive patient datasets and predicting individual patient responses.
DOI: 10.6084/m9.figshare.25381426
title: Dataset on Survey knowledge after navigation VSWM and recall modality

description: 74 adults ( 20 men) aged 20 to 35 years old<br>Information about:- Gender- Age- VSWM tasks- Environment learning in a CAVE environment (path learning, route repetition, cued and free sketch map task)
DOI: 10.6084/m9.figshare.25381426.v1
title: Dataset on Survey knowledge after navigation VSWM and recall modality

description: 74 adults ( 20 men) aged 20 to 35 years old<br>Information about:- Gender- Age- VSWM tasks- Environment learning in a CAVE environment (path learning, route repetition, cued and free sketch map task)
DOI: 10.6084/m9.figshare.25381402
title: data

description: Using java code iterative collection, using python code can draw pictures
DOI: 10.6084/m9.figshare.25381402.v1
title: data

description: Using java code iterative collection, using python code can draw pictures
DOI: 10.6084/m9.figshare.22332034
title: Dataset for manuscript: Central and local arterial stiffness in White Europeans compared to age-, sex-, and BMI-matched South Asians

description: Dataset used for manuscript: Central and local arterial stiffness in White Europeans compared to age-, sex-, and BMI-matched South Asians, published in PLOS ONE.
DOI: 10.6084/m9.figshare.22332034.v2
title: Dataset for manuscript: Central and local arterial stiffness in White Europeans compared to age-, sex-, and BMI-matched South Asians

description: Dataset used for manuscript: Central and local arterial stiffness in White Europeans compared to age-, sex-, and BMI-matched South Asians, published in PLOS ONE.
DOI: 10.6084/m9.figshare.22332034.v1
title: India-NL_article_data

description: Data used in scientific article.
DOI: 10.34740/kaggle/dsv/7815782
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.10700992
title: ENGINEER_WP2_SS1_LaserScanner_Faro Focus S70

description: This dataset was created during ENGINEER project activities and is accessible only upon user request and approval by the responsible national authority of Cyprus, namely the Department of Antiquities. The dataset pertains to data acquired at the tombs of the kings using a Faro Focus S70 laser scanner.
DOI: 10.5281/zenodo.10700991
title: ENGINEER_WP2_SS1_LaserScanner_Faro Focus S70

description: This dataset was created during ENGINEER project activities and is accessible only upon user request and approval by the responsible national authority of Cyprus, namely the Department of Antiquities. The dataset pertains to data acquired at the tombs of the kings using a Faro Focus S70 laser scanner.
DOI: 10.5281/zenodo.10804833
title: Ejecta Thickness Measurements at Small Lunar Craters
DOI: 10.5281/zenodo.10804834
title: Ejecta Thickness Measurements at Small Lunar Craters
DOI: 10.5517/ccdc.csd.cc1z8gwl
title: CCDC 1825400: Experimental Crystal Structure Determination

description: Related Article: Rui Umeda, Tetsuya Ishida, Shintaro Mori, Hiroki Yashima, Tatsuo Yajima, Issey Osaka, Riko Takata, Yutaka Nishiyama|2024|Tetrahedron|154|133854|doi:10.1016/j.tet.2024.133854
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bp2pt
title: CCDC 2165216: Experimental Crystal Structure Determination

description: Related Article: Elizaveta Karchuganova, Sofiia Martynova, Stanislav Kalinin, Andrea Angeli, Dmitry Dar'in, Daniella Vullo, Claudiu T. Supuran, Olga Bakulina|2024|Tetrahedron|154|133890|doi:10.1016/j.tet.2024.133890
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bp2qv
title: CCDC 2165217: Experimental Crystal Structure Determination

description: Related Article: Elizaveta Karchuganova, Sofiia Martynova, Stanislav Kalinin, Andrea Angeli, Dmitry Dar'in, Daniella Vullo, Claudiu T. Supuran, Olga Bakulina|2024|Tetrahedron|154|133890|doi:10.1016/j.tet.2024.133890
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ghvhb
title: CCDC 2279352: Experimental Crystal Structure Determination

description: Related Article: Mohammed Noorul Hussain, Luc Van Meervelt, Tom Van Gerven|2024|CrystEngComm|26|1647|doi:10.1039/D3CE01055D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gw5fz
title: CCDC 2290231: Experimental Crystal Structure Determination

description: Related Article: Nagesh Manurkar, Hao Su, Faiza Arshad, Zhongkui Li, Hui Li|2024|CrystEngComm|26|1540|doi:10.1039/D4CE00008K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gw5g0
title: CCDC 2290232: Experimental Crystal Structure Determination

description: Related Article: Nagesh Manurkar, Hao Su, Faiza Arshad, Zhongkui Li, Hui Li|2024|CrystEngComm|26|1540|doi:10.1039/D4CE00008K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gw5h1
title: CCDC 2290233: Experimental Crystal Structure Determination

description: Related Article: Nagesh Manurkar, Hao Su, Faiza Arshad, Zhongkui Li, Hui Li|2024|CrystEngComm|26|1540|doi:10.1039/D4CE00008K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h0jwy
title: CCDC 2294430: Experimental Crystal Structure Determination

description: Related Article: Xiang Wang, Yue Sun, Meng-Yuan Wang, Jing-Ru Zou, Zeng-Yun Tian, Lei-Ming Huo, Xin-Gang Xie, Guo-Xin Wang, Xing Huo|2024|Tetrahedron|154|133876|doi:10.1016/j.tet.2024.133876
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h2783
title: CCDC 2296054: Experimental Crystal Structure Determination

description: Related Article: Craig D. Stewart, Nicholas G. White, Russell A. Barrow, Tristan A. Reekie|2024|Tetrahedron|153|133838|doi:10.1016/j.tet.2024.133838
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h2794
title: CCDC 2296055: Experimental Crystal Structure Determination

description: Related Article: Craig D. Stewart, Nicholas G. White, Russell A. Barrow, Tristan A. Reekie|2024|Tetrahedron|153|133838|doi:10.1016/j.tet.2024.133838
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h6fjp
title: CCDC 2300092: Experimental Crystal Structure Determination

description: Related Article: Xiang Wang, Yue Sun, Meng-Yuan Wang, Jing-Ru Zou, Zeng-Yun Tian, Lei-Ming Huo, Xin-Gang Xie, Guo-Xin Wang, Xing Huo|2024|Tetrahedron|154|133876|doi:10.1016/j.tet.2024.133876
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h6x2q
title: CCDC 2300543: Experimental Crystal Structure Determination

description: Related Article: Giau Le-Hoang, Laure Guénée, Quentin Sommer, Claude Piguet|2024|Inorg.Chem.|63|3712|doi:10.1021/acs.inorgchem.3c03710
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h6x3r
title: CCDC 2300544: Experimental Crystal Structure Determination

description: Related Article: Giau Le-Hoang, Laure Guénée, Quentin Sommer, Claude Piguet|2024|Inorg.Chem.|63|3712|doi:10.1021/acs.inorgchem.3c03710
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h6x4s
title: CCDC 2300545: Experimental Crystal Structure Determination

description: Related Article: Giau Le-Hoang, Laure Guénée, Quentin Sommer, Claude Piguet|2024|Inorg.Chem.|63|3712|doi:10.1021/acs.inorgchem.3c03710
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h6x5t
title: CCDC 2300546: Experimental Crystal Structure Determination

description: Related Article: Giau Le-Hoang, Laure Guénée, Quentin Sommer, Claude Piguet|2024|Inorg.Chem.|63|3712|doi:10.1021/acs.inorgchem.3c03710
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.