cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23579427
title: Supplementary Material for: Association of pesticide exposure with cognitive function in farmers

description: Introduction Organophosphate and carbamate are two types of pesticides that can induce cholinesterase suppression in humans. These lead to poisoning symptoms including muscle paralysis and respiratory depression in acute settings. In chronic settings, the mechanism of organophosphate and carbamate poisoning is still openly discussed. Accordingly, this study aimed to identify any correlations between erythrocyte cholinesterase and associations between type of pesticides with cognitive performance of the subjects. Methods This cross-sectional study was conducted in two sampling periods (July 2017 and October 2018) in Ngablak Districts, Magelang Regency, Central Java, Indonesia. The study subjects were farmers with history of pesticide exposure. Cholinesterase levels (ChE) were analyzed from blood samples. Cognitive performance was assessed using the Mini Mental State Examination (MMSE) and Stroop Test. Results In total, 151 subjects aged between 23 – 91 years old were included. The long-term organophosphate exposure group had significantly lower MMSE scores compared with other types of pesticides, but not in carbamate (p=0.017). After comparing “organophosphate only” and “carbamate only” groups, there were significant differences in MMSE scores (p=0.018) but not in blood ChE levels (p=0.286). Detailed assessment in MMSE domains showed significantly lower scores for orientation, attention, and registration domains (p &lt; 0.05) in the organophosphate group. There were no significant associations between types of pesticides and blood ChE levels with the Stroop Test results (p &gt; 0.05). Conclusions Long-term organophosphate exposure could produce lower cognitive function and the insignificant association between blood ChE levels to MMSE could lead to non-cholinergic pathways as its underlying pathology.
DOI: 10.6084/m9.figshare.23579427.v1
title: Supplementary Material for: Association of pesticide exposure with cognitive function in farmers

description: Introduction Organophosphate and carbamate are two types of pesticides that can induce cholinesterase suppression in humans. These lead to poisoning symptoms including muscle paralysis and respiratory depression in acute settings. In chronic settings, the mechanism of organophosphate and carbamate poisoning is still openly discussed. Accordingly, this study aimed to identify any correlations between erythrocyte cholinesterase and associations between type of pesticides with cognitive performance of the subjects. Methods This cross-sectional study was conducted in two sampling periods (July 2017 and October 2018) in Ngablak Districts, Magelang Regency, Central Java, Indonesia. The study subjects were farmers with history of pesticide exposure. Cholinesterase levels (ChE) were analyzed from blood samples. Cognitive performance was assessed using the Mini Mental State Examination (MMSE) and Stroop Test. Results In total, 151 subjects aged between 23 – 91 years old were included. The long-term organophosphate exposure group had significantly lower MMSE scores compared with other types of pesticides, but not in carbamate (p=0.017). After comparing “organophosphate only” and “carbamate only” groups, there were significant differences in MMSE scores (p=0.018) but not in blood ChE levels (p=0.286). Detailed assessment in MMSE domains showed significantly lower scores for orientation, attention, and registration domains (p &lt; 0.05) in the organophosphate group. There were no significant associations between types of pesticides and blood ChE levels with the Stroop Test results (p &gt; 0.05). Conclusions Long-term organophosphate exposure could produce lower cognitive function and the insignificant association between blood ChE levels to MMSE could lead to non-cholinergic pathways as its underlying pathology.
DOI: 10.6084/m9.figshare.23579439
title: Supplementary Material for: Association of pesticide exposure with cognitive function in farmers

description: Introduction Organophosphate and carbamate are two types of pesticides that can induce cholinesterase suppression in humans. These lead to poisoning symptoms including muscle paralysis and respiratory depression in acute settings. In chronic settings, the mechanism of organophosphate and carbamate poisoning is still openly discussed. Accordingly, this study aimed to identify any correlations between erythrocyte cholinesterase and associations between type of pesticides with cognitive performance of the subjects. Methods This cross-sectional study was conducted in two sampling periods (July 2017 and October 2018) in Ngablak Districts, Magelang Regency, Central Java, Indonesia. The study subjects were farmers with history of pesticide exposure. Cholinesterase levels (ChE) were analyzed from blood samples. Cognitive performance was assessed using the Mini Mental State Examination (MMSE) and Stroop Test. Results In total, 151 subjects aged between 23 – 91 years old were included. The long-term organophosphate exposure group had significantly lower MMSE scores compared with other types of pesticides, but not in carbamate (p=0.017). After comparing “organophosphate only” and “carbamate only” groups, there were significant differences in MMSE scores (p=0.018) but not in blood ChE levels (p=0.286). Detailed assessment in MMSE domains showed significantly lower scores for orientation, attention, and registration domains (p &lt; 0.05) in the organophosphate group. There were no significant associations between types of pesticides and blood ChE levels with the Stroop Test results (p &gt; 0.05). Conclusions Long-term organophosphate exposure could produce lower cognitive function and the insignificant association between blood ChE levels to MMSE could lead to non-cholinergic pathways as its underlying pathology.
DOI: 10.6084/m9.figshare.23579439.v1
title: Supplementary Material for: Association of pesticide exposure with cognitive function in farmers

description: Introduction Organophosphate and carbamate are two types of pesticides that can induce cholinesterase suppression in humans. These lead to poisoning symptoms including muscle paralysis and respiratory depression in acute settings. In chronic settings, the mechanism of organophosphate and carbamate poisoning is still openly discussed. Accordingly, this study aimed to identify any correlations between erythrocyte cholinesterase and associations between type of pesticides with cognitive performance of the subjects. Methods This cross-sectional study was conducted in two sampling periods (July 2017 and October 2018) in Ngablak Districts, Magelang Regency, Central Java, Indonesia. The study subjects were farmers with history of pesticide exposure. Cholinesterase levels (ChE) were analyzed from blood samples. Cognitive performance was assessed using the Mini Mental State Examination (MMSE) and Stroop Test. Results In total, 151 subjects aged between 23 – 91 years old were included. The long-term organophosphate exposure group had significantly lower MMSE scores compared with other types of pesticides, but not in carbamate (p=0.017). After comparing “organophosphate only” and “carbamate only” groups, there were significant differences in MMSE scores (p=0.018) but not in blood ChE levels (p=0.286). Detailed assessment in MMSE domains showed significantly lower scores for orientation, attention, and registration domains (p &lt; 0.05) in the organophosphate group. There were no significant associations between types of pesticides and blood ChE levels with the Stroop Test results (p &gt; 0.05). Conclusions Long-term organophosphate exposure could produce lower cognitive function and the insignificant association between blood ChE levels to MMSE could lead to non-cholinergic pathways as its underlying pathology.
DOI: 10.5281/zenodo.8082331
title: Uncovering prognostic architecture of response to immunotherapy in H. pylori infection associated gastric cancer by single-cell transcriptomic analysis

description: Most gastric cancer (GC) worldwide is ascribed to<em> Helicobacter pylori </em>(<em>H. pylori</em>) infection, which have a detrimental effect on the immunotherapy efficacy, while the key cell players and molecular mechanism associated with GC immunotherapies were rarely described. Herein, we performed comprehensive single-cell-transcriptome analysis of nine GC with current<em> H. pylori</em>-infection (HpGC), three GC with previous <em>H. pylori</em>-infection (ex-HpGC), six GC without <em>H. pylori</em>-infection (non-HpGC), and six healthy controls (HC). HpGC and ex-HpGC were enriched with VEGFA+ angiogenic-tumor-associated-macrophages (Angio-TAM) and IL11/IL24+ inflammatory CAF (iCAF), importantly, iCAFs promoted tumor angiogenesis and immune suppression by interacting with Angio-TAM through VEGFA/B-VEGFR1 and TIGIT+ suppressive T cells through NECTIN2-TIGIT pathway, which is promising target for cancer immunotherapy. Integrated analysis of scRNA and immunotherapy dataset demonstrated the iCAF abundance and angiogenic signature could predict poor GC immunotherapy outcomes. Together, our results delineated the role of <em>H. pylori</em>-infection in GC development, tumor microenvironment regulation, and immunotherapy response.
DOI: 10.5281/zenodo.8082330
title: Uncovering prognostic architecture of response to immunotherapy in H. pylori infection associated gastric cancer by single-cell transcriptomic analysis

description: Most gastric cancer (GC) worldwide is ascribed to<em> Helicobacter pylori </em>(<em>H. pylori</em>) infection, which have a detrimental effect on the immunotherapy efficacy, while the key cell players and molecular mechanism associated with GC immunotherapies were rarely described. Herein, we performed comprehensive single-cell-transcriptome analysis of nine GC with current<em> H. pylori</em>-infection (HpGC), three GC with previous <em>H. pylori</em>-infection (ex-HpGC), six GC without <em>H. pylori</em>-infection (non-HpGC), and six healthy controls (HC). HpGC and ex-HpGC were enriched with VEGFA+ angiogenic-tumor-associated-macrophages (Angio-TAM) and IL11/IL24+ inflammatory CAF (iCAF), importantly, iCAFs promoted tumor angiogenesis and immune suppression by interacting with Angio-TAM through VEGFA/B-VEGFR1 and TIGIT+ suppressive T cells through NECTIN2-TIGIT pathway, which is promising target for cancer immunotherapy. Integrated analysis of scRNA and immunotherapy dataset demonstrated the iCAF abundance and angiogenic signature could predict poor GC immunotherapy outcomes. Together, our results delineated the role of <em>H. pylori</em>-infection in GC development, tumor microenvironment regulation, and immunotherapy response.
DOI: 10.17031/6452310f58ab8
title: 2015 SSE Renewables Beatrice Offshore Wind Farm pre-construction drop down video survey

description: A pre-construction benthic characterisation survey was conducted by APEM Ltd at the proposed Beatrice Offshore Wind Farm (OWF) and Annex 1 Habitat Survey of the Offshore Transmission Works (OfTW) cable corridor (APEM ref 413984, client ref ED518) between the 22nd and the 27th June 2015. 
The aim of the survey was to collect grab samples that will provide baseline data on the benthic ecology and sediment composition within the OWF area. Additionally the survey was to utilise Drop Down Video (DDV) to determine the presence of potential cobble reef Annex 1 habitats (EC Habitats Directive) the OfTW cable export corridor and investigate sites of potential archaeological importance within both the OWF area and export route. Two transects (running N-S and E-W) were completed at 10 potential cobble reef sites and one potential pockmark feature. For each transect still images were taken every 15 seconds. One image from each minute of the transects was analysed for faunal and floral abundance. This dataset presents results of analysis of those images.
DOI: 10.5281/zenodo.2648284
title: O'Donnell Research Group (ORG) Fiber Clustering White Matter Atlas

description: O'Donnell Research Group (ORG) Fiber Clustering White Matter Atlas

Zhang, F., Wu, Y., Norton, I., Rathi, Y., Makris, N., O'Donnell, LJ. An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan. NeuroImage, 2018 (179): 429-447

See details at: https://github.com/SlicerDMRI/ORG-Atlases
DOI: 10.5281/zenodo.2648292
title: O'Donnell Research Group (ORG) Fiber Clustering White Matter Atlas

description: O'Donnell Research Group (ORG) Fiber Clustering White Matter Atlas

Zhang, F., Wu, Y., Norton, I., Rathi, Y., Makris, N., O'Donnell, LJ. An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan. NeuroImage, 2018 (179): 429-447

See details at: https://github.com/SlicerDMRI/ORG-Atlases
DOI: 10.5281/zenodo.2648283
title: O'Donnell Research Group (ORG) Fiber Clustering White Matter Atlas

description: O'Donnell Research Group (ORG) Fiber Clustering White Matter Atlas Zhang, F., Wu, Y., Norton, I., Rathi, Y., Makris, N., O'Donnell, LJ. An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan. NeuroImage, 2018 (179): 429-447 See details at: https://github.com/SlicerDMRI/ORG-Atlases
description: add 100HCP-population-mean-wmparc
DOI: 10.5281/zenodo.4156927
title: O'Donnell Research Group (ORG) Fiber Clustering White Matter Atlas

description: O'Donnell Research Group (ORG) Fiber Clustering White Matter Atlas Zhang, F., Wu, Y., Norton, I., Rathi, Y., Makris, N., O'Donnell, LJ. An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan. NeuroImage, 2018 (179): 429-447 See details at: https://github.com/SlicerDMRI/ORG-Atlases
DOI: 10.5281/zenodo.5109770
title: O'Donnell Research Group (ORG) Fiber Clustering White Matter Atlas

description: O'Donnell Research Group (ORG) Fiber Clustering White Matter Atlas Zhang, F., Wu, Y., Norton, I., Rathi, Y., Makris, N., O'Donnell, LJ. An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan. NeuroImage, 2018 (179): 429-447 See details at: https://github.com/SlicerDMRI/ORG-Atlases
DOI: 10.5281/zenodo.7784967
title: O'Donnell Research Group (ORG) Fiber Clustering White Matter Atlas

description: O'Donnell Research Group (ORG) Fiber Clustering White Matter Atlas Zhang, F., Wu, Y., Norton, I., Rathi, Y., Makris, N., O'Donnell, LJ. An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan. NeuroImage, 2018 (179): 429-447 See details at: https://github.com/SlicerDMRI/ORG-Atlases
DOI: 10.5281/zenodo.8082481
title: O'Donnell Research Group (ORG) Fiber Clustering White Matter Atlas

description: O'Donnell Research Group (ORG) Fiber Clustering White Matter Atlas Zhang, F., Wu, Y., Norton, I., Rathi, Y., Makris, N., O'Donnell, LJ. An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan. NeuroImage, 2018 (179): 429-447 See details at: https://github.com/SlicerDMRI/ORG-Atlases
description: add 100HCP-population-mean-wmparc
DOI: 10.34740/kaggle/dsv/6028396
title: 2021 World Population (updated daily)
DOI: 10.34740/kaggle/dsv/6028400
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.23579478
title: CD24 targeting with NK-CAR immunotherapy in testis, prostate, renal and (luminal-type) bladder cancer and identification of direct CD24 interaction partners

description: Alternative therapeutic options targeting urologic malignancies, such as germ cell tumours, as well as urothelial, renal and prostate carcinomas, are still urgently needed. The membrane protein CD24 represents a promising immunotherapeutical approach. The present study aimed to decipher the molecular function of CD24 in vitro and evaluate the cytotoxic capacity of a third-generation natural killer (NK) cell chimeric antigen receptor (CAR) against CD24 in urologic tumour cell lines. Up to 20 urologic tumour cell lines and several non-malignant control cells were included. XTT viability assays and annexin V/propidium iodide flow cytometry analyses were performed to measure cell viability and apoptosis rates, respectively. Coimmunoprecipitation followed by mass spectrometry analyses identified direct interaction partners of CD24. Luciferase reporter assays were used to functionally validate transactivation of CD24 expression by SOX2. N- and O-glycosylation of CD24 were evaluated by enzymatic digestion and mass spectrometry. The study demonstrates that SOX2 transactivates CD24 expression in embryonal carcinoma cells. In cells of different urological origins, CD24 interacted with proteins involved in cell adhesion, ATP binding, phosphoprotein binding and post-translational modifications, such as histone acetylation and ubiquitination. Treatment of urological tumour cells with NK-CD24-CAR cells resulted in a decreased cell viability and apoptosis induction specifically in CD24+ tumour cells. Limitations of the study include the in vitro setting, which still has to be confirmed in vivo. In conclusion, we show that CD24 is a promising novel target for immune therapeutic approaches targeting urologic malignancies.
DOI: 10.6084/m9.figshare.23579478.v1
title: CD24 targeting with NK-CAR immunotherapy in testis, prostate, renal and (luminal-type) bladder cancer and identification of direct CD24 interaction partners

description: Alternative therapeutic options targeting urologic malignancies, such as germ cell tumours, as well as urothelial, renal and prostate carcinomas, are still urgently needed. The membrane protein CD24 represents a promising immunotherapeutical approach. The present study aimed to decipher the molecular function of CD24 in vitro and evaluate the cytotoxic capacity of a third-generation natural killer (NK) cell chimeric antigen receptor (CAR) against CD24 in urologic tumour cell lines. Up to 20 urologic tumour cell lines and several non-malignant control cells were included. XTT viability assays and annexin V/propidium iodide flow cytometry analyses were performed to measure cell viability and apoptosis rates, respectively. Coimmunoprecipitation followed by mass spectrometry analyses identified direct interaction partners of CD24. Luciferase reporter assays were used to functionally validate transactivation of CD24 expression by SOX2. N- and O-glycosylation of CD24 were evaluated by enzymatic digestion and mass spectrometry. The study demonstrates that SOX2 transactivates CD24 expression in embryonal carcinoma cells. In cells of different urological origins, CD24 interacted with proteins involved in cell adhesion, ATP binding, phosphoprotein binding and post-translational modifications, such as histone acetylation and ubiquitination. Treatment of urological tumour cells with NK-CD24-CAR cells resulted in a decreased cell viability and apoptosis induction specifically in CD24+ tumour cells. Limitations of the study include the in vitro setting, which still has to be confirmed in vivo. In conclusion, we show that CD24 is a promising novel target for immune therapeutic approaches targeting urologic malignancies.
DOI: 10.5517/ccdc.csd.cc2bwd5t
title: CCDC 2171276: Experimental Crystal Structure Determination

description: Related Article: Ting-Ting Zhang, Tian Chen, Li-Long Dang, Ting-Ting Li, Kai-Xin Sun, Yu-Jing Gao, Lu-Fang Ma, Dong-Sheng Li|2022|J.Solid State Chem.|313|123320|doi:10.1016/j.jssc.2022.123320
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: 10.5281/zenodo.7099532
title: MaXIMA Breast Lesions Models Database

description: The MaXIMA Breast Lesions Models Database is intended to provide researchers with both segmented and mathematical computer-based breast lesion models with realistic shape. The database is part of the MaXIMA project (maxima-eu.com). Contents: Breast cancer models obtained by segmentation of 3D patient breast tomosynthesis images. Breast cancer models obtained by segmentation of whole body and breast cadavers CT images. Breast cancer models based on a mathematical algorithm. Anonymized digital breast tomosynthesis patient images. Mammography images of StepWedge phantoms from different materials. Mammography images of breast phantoms. Mammography reference images. The following articles describe the MaXIMA Breast Lesions Models Database and how it is created: Bliznakova, K., Dukov, N., Feradov, F., Gospodinova, G., Bliznakov, Z., Russo, P., Mettivier, G., Bosmans, H., Cockmartin, L., Sarno, A., et al, Development of breast lesions models database, Physica Medica, 64, 293-303, 2019, DOI: https://doi.org/10.1016/j.ejmp.2019.07.017<br> Dukov, N., Bliznakova, K., Feradov, F., Buliev, I., Bosmans, H., Mettivier, G., Russo, P., Cockmartin, L., Bliznakov, Z., Models of breast lesions based on three-dimensional X-ray breast images, Physica Medica, 57, 80-87, 2019, DOI: https://doi.org/10.1016/j.ejmp.2018.12.012 Please <strong>READ</strong> and <strong>FOLLOW</strong> all of the <strong>instructions</strong>, or your request will not be considered. <strong>Contacts:</strong> Kristina Bliznakova, MaXIMA project coordinator<br> kristina.bliznakova@gmail.com
DOI: 10.5281/zenodo.7099531
title: MaXIMA Breast Lesions Models Database

description: The MaXIMA Breast Lesions Models Database is intended to provide researchers with both segmented and mathematical computer-based breast lesion models with realistic shape. The database is part of the MaXIMA project (maxima-eu.com). Contents: Breast cancer models obtained by segmentation of 3D patient breast tomosynthesis images. Breast cancer models obtained by segmentation of whole body and breast cadavers CT images. Breast cancer models based on a mathematical algorithm. Anonymized digital breast tomosynthesis patient images. Mammography images of StepWedge phantoms from different materials. Mammography images of breast phantoms. Mammography reference images. The following articles describe the MaXIMA Breast Lesions Models Database and how it is created: Bliznakova, K., Dukov, N., Feradov, F., Gospodinova, G., Bliznakov, Z., Russo, P., Mettivier, G., Bosmans, H., Cockmartin, L., Sarno, A., et al, Development of breast lesions models database, Physica Medica, 64, 293-303, 2019, DOI: https://doi.org/10.1016/j.ejmp.2019.07.017<br> Dukov, N., Bliznakova, K., Feradov, F., Buliev, I., Bosmans, H., Mettivier, G., Russo, P., Cockmartin, L., Bliznakov, Z., Models of breast lesions based on three-dimensional X-ray breast images, Physica Medica, 57, 80-87, 2019, DOI: https://doi.org/10.1016/j.ejmp.2018.12.012 Please <strong>READ</strong> and <strong>FOLLOW</strong> all of the <strong>instructions</strong>, or your request will not be considered. <strong>Contacts:</strong> Kristina Bliznakova, MaXIMA project coordinator<br> kristina.bliznakova@gmail.com
DOI: 10.5281/zenodo.8037337
title: Direct visualization of electronic transport in a quantum anomalous Hall insulator

description: Source data for "Direct visualization of electronic transport in a quantum anomalous Hall insulator"
DOI: 10.5281/zenodo.8037336
title: Direct visualization of electronic transport in a quantum anomalous Hall insulator

description: Source data for "Direct visualization of electronic transport in a quantum anomalous Hall insulator"
DOI: 10.6084/m9.figshare.19833304
title: coulon_et_al_2023_traits

description: This dataset containing traits of marine fish based on fish taxa observed during international scientific bottom-trawl surveys regularly conducted in the Northeast Atlantic. It completes the dataset of Beukhof et al. (2019). The majority of trait values were sourced from FishBase and have been supplemented with values from primary literature and models when no available.