cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23500872
title: Supplementary Material for: Dynamic profiling of the immune tumor microenvironment in locally advanced gastric cancer treated with perioperative chemotherapy

description: Introduction: In locally advanced gastric cancer (GC), FLOT represents the standard perioperative regimen and combination with immunotherapy is under investigation. However, the role of immune tumor microenvironment (TME) is poorly recognized in this setting. We aimed to study TME characteristics and dynamics during FLOT. Methods: Paired biopsy (PRE) and surgical (POST) samples of 25 patients treated with FLOT were prospectively analyzed. After collection of clinic-pathological data, NanoString analyses were performed. The primary objective of the study was to assess the changes induced by chemotherapy in POST compared to PRE samples. Results: The unsupervised hierarchical method analysis clearly distinguished PRE and POST samples, even though some cases showed high immune gene expression at baseline. When POST samples were compared with PRE, a differential expression in hyper-expressed gene sets related to cytotoxicity, T-cell functions, complement system, tumor necrosis factor-superfamily, cell cycle and regulation was recognized. Downstaging of the primary tumor (T-regression, measured by pathologic compared to clinical T stage) was the covariate most frequently associated with these changes. Using the immune cell profiling, cases with T-regression reported a significant increase of T, CD8+ T and B-cells and a decrease in mast cells, while non-responders demonstrated an increase of T, B, cytotoxic and mast cells. Conclusion: Our analysis shows that FLOT significantly influences immune TME of GC. While relevant modifications preferentially occur in tumors showing primary tumor regression, response to treatment seems to be associated with a specific immune profile.
DOI: 10.6084/m9.figshare.23500872.v1
title: Supplementary Material for: Dynamic profiling of the immune tumor microenvironment in locally advanced gastric cancer treated with perioperative chemotherapy

description: Introduction: In locally advanced gastric cancer (GC), FLOT represents the standard perioperative regimen and combination with immunotherapy is under investigation. However, the role of immune tumor microenvironment (TME) is poorly recognized in this setting. We aimed to study TME characteristics and dynamics during FLOT. Methods: Paired biopsy (PRE) and surgical (POST) samples of 25 patients treated with FLOT were prospectively analyzed. After collection of clinic-pathological data, NanoString analyses were performed. The primary objective of the study was to assess the changes induced by chemotherapy in POST compared to PRE samples. Results: The unsupervised hierarchical method analysis clearly distinguished PRE and POST samples, even though some cases showed high immune gene expression at baseline. When POST samples were compared with PRE, a differential expression in hyper-expressed gene sets related to cytotoxicity, T-cell functions, complement system, tumor necrosis factor-superfamily, cell cycle and regulation was recognized. Downstaging of the primary tumor (T-regression, measured by pathologic compared to clinical T stage) was the covariate most frequently associated with these changes. Using the immune cell profiling, cases with T-regression reported a significant increase of T, CD8+ T and B-cells and a decrease in mast cells, while non-responders demonstrated an increase of T, B, cytotoxic and mast cells. Conclusion: Our analysis shows that FLOT significantly influences immune TME of GC. While relevant modifications preferentially occur in tumors showing primary tumor regression, response to treatment seems to be associated with a specific immune profile.
DOI: 10.15129/90f32a80-c063-49b0-b3be-77d2a3547997
title: Furnace process dataset for Educational purpose for NMIS/DIGF and University of Edinburgh

description: Furnace process dataset for Educational purpose including Raw CSV data pickle dataframe (already cleaned) sensors description
DOI: 10.5281/zenodo.8092432
title: RELATÓRIO TÉCNICO-PROJETO PARA DIVULGAÇÃO DE EVENTO ACADÊMICO

description: A missão da UTFPR é promover a educação de excelência por meio do ensino, pesquisa e<br> extensão, estabelecendo interações éticas e produtivas com a comunidade para o avanço social<br> e tecnológico. Com o objetivo de tornar a instituição mais acessível à comunidade e aprimorar<br> a qualidade do ensino, é fundamental incentivar uma maior participação de candidatos nos<br> cursos oferecidos pela UTFPR. Com o intuito de melhorar o preenchimento das vagas,<br> especialmente nas cidades do interior, planeja-se realizar um evento de divulgação da UTFPR<br> para estudantes do ensino médio. Esse evento terá visitas guiadas, palestras informativas,<br> exposições de trabalhos acadêmicos e demonstrações das atividades de pesquisa e extensão<br> desenvolvidas na instituição. Espera-se que esse evento proporcione diversos benefícios, tais<br> como o aumento da participação de candidatos nos cursos oferecidos pela UTFPR e a efetiva<br> divulgação das características desses cursos. Além disso, acredita-se que essa iniciativa<br> contribuirá para a redução da evasão, uma vez que os estudantes terão a oportunidade de<br> conhecer de perto a instituição e suas atividades, facilitando a tomada de decisão e o<br> engajamento com os estudos.
DOI: 10.5281/zenodo.8092433
title: RELATÓRIO TÉCNICO-PROJETO PARA DIVULGAÇÃO DE EVENTO ACADÊMICO

description: A missão da UTFPR é promover a educação de excelência por meio do ensino, pesquisa e<br> extensão, estabelecendo interações éticas e produtivas com a comunidade para o avanço social<br> e tecnológico. Com o objetivo de tornar a instituição mais acessível à comunidade e aprimorar<br> a qualidade do ensino, é fundamental incentivar uma maior participação de candidatos nos<br> cursos oferecidos pela UTFPR. Com o intuito de melhorar o preenchimento das vagas,<br> especialmente nas cidades do interior, planeja-se realizar um evento de divulgação da UTFPR<br> para estudantes do ensino médio. Esse evento terá visitas guiadas, palestras informativas,<br> exposições de trabalhos acadêmicos e demonstrações das atividades de pesquisa e extensão<br> desenvolvidas na instituição. Espera-se que esse evento proporcione diversos benefícios, tais<br> como o aumento da participação de candidatos nos cursos oferecidos pela UTFPR e a efetiva<br> divulgação das características desses cursos. Além disso, acredita-se que essa iniciativa<br> contribuirá para a redução da evasão, uma vez que os estudantes terão a oportunidade de<br> conhecer de perto a instituição e suas atividades, facilitando a tomada de decisão e o<br> engajamento com os estudos.
DOI: 10.5281/zenodo.8099859
title: RELATÓRIO TÉCNICO-PROJETO PARA DIVULGAÇÃO DE EVENTO ACADÊMICO

description: A missão da UTFPR é promover a educação de excelência por meio do ensino, pesquisa e<br> extensão, estabelecendo interações éticas e produtivas com a comunidade para o avanço social<br> e tecnológico. Com o objetivo de tornar a instituição mais acessível à comunidade e aprimorar<br> a qualidade do ensino, é fundamental incentivar uma maior participação de candidatos nos<br> cursos oferecidos pela UTFPR. Com o intuito de melhorar o preenchimento das vagas,<br> especialmente nas cidades do interior, planeja-se realizar um evento de divulgação da UTFPR<br> para estudantes do ensino médio. Esse evento terá visitas guiadas, palestras informativas,<br> exposições de trabalhos acadêmicos e demonstrações das atividades de pesquisa e extensão<br> desenvolvidas na instituição. Espera-se que esse evento proporcione diversos benefícios, tais<br> como o aumento da participação de candidatos nos cursos oferecidos pela UTFPR e a efetiva<br> divulgação das características desses cursos. Além disso, acredita-se que essa iniciativa<br> contribuirá para a redução da evasão, uma vez que os estudantes terão a oportunidade de<br> conhecer de perto a instituição e suas atividades, facilitando a tomada de decisão e o<br> engajamento com os estudos.
DOI: 10.5281/zenodo.8099893
title: RELATÓRIO TÉCNICO-PROJETO PARA DIVULGAÇÃO DE EVENTO ACADÊMICO

description: A missão da UTFPR é promover a educação de excelência por meio do ensino, pesquisa e<br> extensão, estabelecendo interações éticas e produtivas com a comunidade para o avanço social<br> e tecnológico. Com o objetivo de tornar a instituição mais acessível à comunidade e aprimorar<br> a qualidade do ensino, é fundamental incentivar uma maior participação de candidatos nos<br> cursos oferecidos pela UTFPR. Com o intuito de melhorar o preenchimento das vagas,<br> especialmente nas cidades do interior, planeja-se realizar um evento de divulgação da UTFPR<br> para estudantes do ensino médio. Esse evento terá visitas guiadas, palestras informativas,<br> exposições de trabalhos acadêmicos e demonstrações das atividades de pesquisa e extensão<br> desenvolvidas na instituição. Espera-se que esse evento proporcione diversos benefícios, tais<br> como o aumento da participação de candidatos nos cursos oferecidos pela UTFPR e a efetiva<br> divulgação das características desses cursos. Além disso, acredita-se que essa iniciativa<br> contribuirá para a redução da evasão, uma vez que os estudantes terão a oportunidade de<br> conhecer de perto a instituição e suas atividades, facilitando a tomada de decisão e o<br> engajamento com os estudos.
DOI: 10.25386/genetics.23451785.v1
title: Supplemental Material for Staunton, Peters, and Seoighe, 2023

description: Final mutation and model estimates for somatic mutation study in <em>Arabidopsis thaliana</em>.
DOI: 10.57745/qnginv
title: archive_Rault_et_al_Global_Ecology_Biogeography_2023.zip

description: :unav
DOI: 10.57745/irtd16
title: BL_islands_centroid.tab
DOI: 10.57745/ovdzvd
title: join_islands_realm.tab
DOI: 10.57745/alunda
title: ses_ocea_bodymass_extant2_intro.rds
DOI: 10.57745/ekjypf
title: rs_prop_islands.tab
DOI: 10.57745/hly4dk
title: ses_ocea_bodymass_extant2_native.rds
DOI: 10.57745/gr38s0
title: ses_ocea_bodymass_extant2_only_intro.rds
DOI: 10.57745/ee13qw
title: ses_ocea_diet_extant2_intro.rds
DOI: 10.57745/8p2i94
title: ses_ocea_diet_extant2_native.rds
DOI: 10.57745/qcihgp
title: ses_ocea_diet_extant2_only_intro.rds
DOI: 10.57745/dg0gll
title: ses_ocea_mob_extant2_intro.rds
DOI: 10.57745/0dq30f
title: ses_ocea_mob_extant2_only_intro.rds
DOI: 10.57745/e8mefu
title: ses_ocea_mob_extant2_native.rds
DOI: 10.57745/ava6ka
title: taxons_presence3_islands.tab
DOI: 10.57745/deqafg
title: README.txt
DOI: 10.57745/tn7wss
title: Figure_1.R
DOI: 10.57745/aj1im5
title: Figure_2.R
DOI: 10.57745/4l1aso
title: Figure_3.R
DOI: 10.57745/1nxbq2
title: Figure_4.R
DOI: 10.57745/7mquqb
title: Figure_5.R
DOI: 10.57745/fpyl2l
title: trait_structures.R
DOI: 10.57745/ia8mmm
title: env_data2.tab

description: :unav
DOI: 10.34740/kaggle/dsv/6090678
title: Heart Diseases and Conditions Data - UCI
DOI: 10.5523/bris.3ejdmw5t6rjgy28ghgumidwt5f
title: A priori selection of hydrological model structures in modular modeling frameworks: Results from RRMT

description: We evaluated 10 hydrological model structures on a large sample of catchments across Great Britain to test the importance of a priori model selection. Our results emphasize the importance of model structure selection based on explicit perceptual models. Here, we provide the data that may be most useful for future studies - summaries of model scores for each catchment from the Rainfall-Runoff Modelling Toolbox, and time-series of model output for each catchment from the 6 different model structures.
DOI: 10.6084/m9.figshare.23642781
title: Literature Data about Indonesian Green Infrastructure 2015-2023

description: This data is a table that contains list of literatures between 2015 and 2023, browsed using Google Scholar. The literatures are selected based on subject and under supervision of the author.
DOI: 10.6084/m9.figshare.23642781.v2
title: Literature Data about Indonesian Green Infrastructure 2015-2023

description: This data is a table that contains list of literatures between 2015 and 2023, browsed using Google Scholar. The literatures are selected based on subject and under supervision of the author.
DOI: 10.6084/m9.figshare.23642781.v1
title: Litetature Data about Indonesian Green Infrastructure 2015-2023

description: This data is a table that contains list of literatures between 2015 and 2023, browsed using Google Scholar. The literatures are selected based on subject and under supervision of the author.
DOI: 10.5281/zenodo.7331161
title: Health Record Hiccups - 5526 real-world time series with change points labelled by crowd-sourced visual inspection

description: 5526 real-world time series with labels for the location of all abrupt changes in level, variability, trend, presence/absence of data points, and irregular outliers. The time series were produced from a range of electronic health record data extracts from a large UK hospital group. Values in each data field were aggregated by day/week/month, and numeric summary values calculated for each timepoint from the (often non-numeric) data by applying simple functions (e.g. number of values present, percentage of missing values, number of distinct values, median value). Labels were produced by visual inspection of time series plots from ~2000 volunteers, via the Health Record Hiccups project on the Zooniverse platform (https://www.zooniverse.org/projects/phuongquan/health-record-hiccups). Volunteers drew a vertical line on the image wherever they saw a change point (green line if they were certain, yellow line if they were unsure). Consensus labels per image were calculated using density based clustering with noise (R v3.6.3, dbscan v1.1-5), and converted back to a date.
description: This work uses data generated via the Zooniverse.org platform. All research publications using data derived from Zooniverse approved projects are required to acknowledge the Zooniverse and the Project Builder platform. Please use the text: "This publication uses data generated via the Zooniverse.org platform." We would like to thank the Zooniverse team and all the Zooniverse volunteers who donated their time freely and generously. This work uses data provided by patients and collected by the NHS as part of their care and support. We thank all the people of Oxfordshire who contribute to the Infections in Oxfordshire Research Database. Research Database Team: L Butcher, H Boseley, C Crichton, DW Crook, DW Eyre, O Freeman, J Gearing (community), R Harrington, K Jeffery, M Landray, A Pal, TEA Peto, TP Quan, J Robinson (community), J Sellors, B Shine, AS Walker, D Waller. Patient and Public Panel: G Blower, C Mancey, P McLoughlin, B Nichols. This work was supported by the National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Healthcare Associated Infections and Antimicrobial Resistance at the University of Oxford in partnership with Public Health England (PHE) (NIHR200915), and by the NIHR Oxford Biomedical Research Centre.
DOI: 10.5281/zenodo.7331160
title: Health Record Hiccups - 5526 real-world time series with change points labelled by crowd-sourced visual inspection

description: 5526 real-world time series with labels for the location of all abrupt changes in level, variability, trend, presence/absence of data points, and irregular outliers. The time series were produced from a range of electronic health record data extracts from a large UK hospital group. Values in each data field were aggregated by day/week/month, and numeric summary values calculated for each timepoint from the (often non-numeric) data by applying simple functions (e.g. number of values present, percentage of missing values, number of distinct values, median value). Labels were produced by visual inspection of time series plots from ~2000 volunteers, via the Health Record Hiccups project on the Zooniverse platform (https://www.zooniverse.org/projects/phuongquan/health-record-hiccups). Volunteers drew a vertical line on the image wherever they saw a change point (green line if they were certain, yellow line if they were unsure). Consensus labels per image were calculated using density based clustering with noise (R v3.6.3, dbscan v1.1-5), and converted back to a date.
description: This work uses data generated via the Zooniverse.org platform. All research publications using data derived from Zooniverse approved projects are required to acknowledge the Zooniverse and the Project Builder platform. Please use the text: "This publication uses data generated via the Zooniverse.org platform." We would like to thank the Zooniverse team and all the Zooniverse volunteers who donated their time freely and generously. This work uses data provided by patients and collected by the NHS as part of their care and support. We thank all the people of Oxfordshire who contribute to the Infections in Oxfordshire Research Database. Research Database Team: L Butcher, H Boseley, C Crichton, DW Crook, DW Eyre, O Freeman, J Gearing (community), R Harrington, K Jeffery, M Landray, A Pal, TEA Peto, TP Quan, J Robinson (community), J Sellors, B Shine, AS Walker, D Waller. Patient and Public Panel: G Blower, C Mancey, P McLoughlin, B Nichols. This work was supported by the National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Healthcare Associated Infections and Antimicrobial Resistance at the University of Oxford in partnership with Public Health England (PHE) (NIHR200915), and by the NIHR Oxford Biomedical Research Centre.
DOI: 10.5066/p9xzt1fk
title: Aerial imagery and structure-from-motion-derived shallow water bathymetry from a UAS survey of the coral reef off Waiakane, Molokai, Hawaii, June 2018

description: An unoccupied aerial system (UAS) was used to acquire high-resolution imagery of the shallow fringing coral reef at Waiakane, Molokai, Hawaii, on 24 June 2018. Imagery was acquired over an area between the shoreline and approximately 900 meters offshore, covering approximately 16 hectares. The imagery was processed using structure-from-motion (SfM) photogrammetric techniques with additional refraction correction post-processing performed to derive a high-resolution bathymetric digital surface model (DSM), orthomosaic imagery, and a bathymetric point cloud.
DOI: 10.5281/zenodo.8124450
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Charles Hamilton Seevers, http://www.wikidata.org/entity/Q21340517. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21340517
DOI: 10.5281/zenodo.8124449
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Charles Hamilton Seevers, http://www.wikidata.org/entity/Q21340517. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21340517
DOI: 10.5281/zenodo.8124458
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Orlando Park, http://www.wikidata.org/entity/Q21503149. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21503149
DOI: 10.5281/zenodo.8124457
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Orlando Park, http://www.wikidata.org/entity/Q21503149. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21503149
DOI: 10.5281/zenodo.8124460
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Max Bernhauer, http://www.wikidata.org/entity/Q6794578. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q6794578
DOI: 10.5281/zenodo.8124459
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Max Bernhauer, http://www.wikidata.org/entity/Q6794578. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q6794578
DOI: 10.5281/zenodo.8124462
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Cora Herring Hooks, http://www.wikidata.org/entity/Q120416134. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q120416134
DOI: 10.5281/zenodo.8124461
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Cora Herring Hooks, http://www.wikidata.org/entity/Q120416134. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q120416134
DOI: 10.23729/ed2303b8-88fb-44d5-9cce-981645db646c
title: Order of events after keratin 8 sequential downregulation raw data

description: Raw data generated in a research project characterizing sequantial downregulation of intestinal keratin in K8flox/flox;Villin-CreERt2 mouse model
DOI: 10.5281/zenodo.8124464
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by John Bryan Kethley, http://www.wikidata.org/entity/Q21388546. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21388546
DOI: 10.5281/zenodo.8124463
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by John Bryan Kethley, http://www.wikidata.org/entity/Q21388546. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21388546
DOI: 10.25345/c5542jk1x
title: MassIVE MSV000092370 - KAT2A and KAT2B prevents double-stranded RNA formation and interferon signaling to maintain intestinal stem cell renewal
title: Histone acetyltransferases KAT2A and KAT2B are paralogs highly expressed in the intestinal epithelium, but their functions are not well understood. In this study, double knockout of murine Kat2 genes in the intestinal epithelium was lethal, resulting in diminished H3K9ac expression, loss of stem cells, and robust activation of interferon signaling. Use of pharmacological agents and sterile organoid cultures indicated a cell-intrinsic double-stranded RNA trigger for interferon signaling. Acetyl-proteomics and dsRIP-seq were employed to interrogate the mechanism behind this response, which identified self-derived, mitochondria- encoded double-stranded RNA as the source of intrinsic interferon signaling. KAT2A and KAT2B therefore play an essential role in regulating mitochondrial functions as well as maintaining intestinal health.