cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7543645
title: Multiplexed histology of COVID-19 post-mortem lung samples - ACUTE CASE 3 FOV2

description: <strong>Image-based data set of a post-mortem lung sample from a COVID-19 donor (ACUTE CASE 3 FOV2)</strong> Each image shows the same field of view (FOV), sequentially stained with the depicted fluorescence-labelled antibodies, including surface proteins, intracellular proteins and transcription factors. Images contain 2024 x 2024 pixels and are generated using an inverted wide-field fluorescence microscope with a 20x objective, a lateral resolution of 325 nm and an axial resolution above 5 µm. Images have been normalized and intensities adjusted.
description: Funding: Deutsche Forschungsgemeinschaft HA5354/10-1, SPP1937 (HA5354/8-2) and TRR130 P17 and C01 (to Anja Hauser)
DOI: 10.5281/zenodo.7543646
title: Multiplexed histology of COVID-19 post-mortem lung samples - ACUTE CASE 3 FOV2

description: <strong>Image-based data set of a post-mortem lung sample from a COVID-19 donor (ACUTE CASE 3 FOV2)</strong> Each image shows the same field of view (FOV), sequentially stained with the depicted fluorescence-labelled antibodies, including surface proteins, intracellular proteins and transcription factors. Images contain 2024 x 2024 pixels and are generated using an inverted wide-field fluorescence microscope with a 20x objective, a lateral resolution of 325 nm and an axial resolution above 5 µm. Images have been normalized and intensities adjusted.
description: Funding: Deutsche Forschungsgemeinschaft HA5354/10-1, SPP1937 (HA5354/8-2) and TRR130 P17 and C01 (to Anja Hauser)
DOI: 10.5281/zenodo.7542456
title: The state of Diversity and Inclusion in Apache: A Pulse Check (survey)

description: The state of Diversity and Inclusion in Apache: A Pulse Check (survey)
DOI: 10.5281/zenodo.7542455
title: The state of Diversity and Inclusion in Apache: A Pulse Check (survey)

description: The state of Diversity and Inclusion in Apache: A Pulse Check (survey)
DOI: 10.6084/m9.figshare.21657344
title: Supplementary Material for: The prevalence and factors that impact frailty in Inflammatory Bowel disease patients hospitalized in a tertiary hospital in China

description: Background: The prevalence of inflammatory bowel disease (IBD) is rapidly increasing in China. Beyond disease management, frailty is an important predictor of adverse outcomes in IBD patients, which has not been well investigated. This study aims to assess frailty status and explore the impact factors in IBD inpatients. Methods: A total of 372 IBD inpatients were recruited from July 2021 to November 2021 at Peking Union Medical College Hospital. All the participants were surveyed by face-to-face questionnaires, including demographic characteristics, disease conditions, lifestyle, psychology, social support and frailty. The impact factors of frailty were further assessed by multinomial logistic regression analysis. Results: The participants’ median age was 31.00 (Q1: 24.00, Q3: 40.00) years. The overall prevalence of prefrailty and frailty in IBD patients was 59.4% (n=221) and 14% (n=52), respectively, and was higher for frailty in females (17.2%) than in males (12.3%). Increased body mass index (odds ratio (OR) 0.917; 95% confidence interval (CI) 0.860-0.978), increased erythrocyte sedimentation rate (OR 1.039; 95%CI 1.002-1.077), sleep impairment (OR 5.160; 95%CI 2.394-11.119) and depression (OR 9.480; 95%CI 3.602-24.949) were independently significantly correlated with prefrailty (P&lt;0.05). Increased body mass index (OR 0.744; 95%CI 0.654-0.848), increased erythrocyte sedimentation rate (OR 1.052; 95%CI 1.011-1.096), sleep impairment (OR 5.832; 95%CI 2.092-16.260) and depression (OR 10.041; 95%CI 2.740-36.793) were independently significantly correlated with frailty. Among the factors, whether for frailty or prefrailty, the strongest impact factor was depression. Conclusions: IBD inpatients are prone to frailty. Comprehensive management focused on the prevention of frailty is warranted to improve the overall prognosis.
DOI: 10.5281/zenodo.7544994
title: "PARP1 associates with R-loops to promote their resolution and genome stability"

description: This file contains supplementary information corresponding to the manuscript:<br> “PARP1 associates with R-loops to promote their resolution and genome stability”<br> Natalie Laspata, Parminder Kaur, Sofiane Yacine Mersaoui, Daniela Muoio, Zhiyan Silvia Liu, Maxwell<br> Henry Bannister, Hai Dang Nguyen, Caroline Curry, John M. Pascal, Guy G. Poirier, Hong Wang, Jean-<br> Yves Masson, Elise Fouquerel.
DOI: 10.5281/zenodo.7544993
title: "PARP1 associates with R-loops to promote their resolution and genome stability"

description: This file contains supplementary information corresponding to the manuscript:<br> “PARP1 associates with R-loops to promote their resolution and genome stability”<br> Natalie Laspata, Parminder Kaur, Sofiane Yacine Mersaoui, Daniela Muoio, Zhiyan Silvia Liu, Maxwell<br> Henry Bannister, Hai Dang Nguyen, Caroline Curry, John M. Pascal, Guy G. Poirier, Hong Wang, Jean-<br> Yves Masson, Elise Fouquerel.
DOI: 10.5281/zenodo.7535687
title: PAMAM-G4 protect the N-(2-hydroxyphenyl)-2-propylpentanamide (HO-AAVPA) and maintain its antiproliferative effects on MCF-7 (Dataset).

description: Our work group designed and synthesized a promissory compound N-(2-hydroxyphenyl)-2- propylpentanamide (HO-AAVPA). The HO-AAVPA which is a HDAC1 inhibitor and antiproliferative in cancer cell lines. However, HO-AAVPA is poor water solubility and enzymatically metabolized. In this work, the fourth-generation poly(amidoamine) dendrimer (PAMAM-G4) was used as a drug deliver nanocarrier of HO-AAVPA. Moreover, HO-AAVPA and HO-AAVPA-PAMAM complex were submitted to forced degradation studies (heat, acid, base, oxidation and sunlight). Also, the HO-AAVPA- PAMAM-G4 complex was assayed as antiproliferative in a breast cancer cell line (MCF-7). The HO AAVPA-PAMAM-G4 complex was obtained by docking and experimentally using three pH conditions: acid (pH = 3.0), neutral (pH = 7.0) and basic (pH = 9.0) showing that PAMAM-G4 is captured and protect the HO-AAVPA from forced degradation, it is due to sunlight yielded a by-product from HO-AAVPA. In addition, the PAMAM-G4 favored the HO-AAVPA water solubility under basic and neutral pH conditions with significant difference (F <sub>(2,18)</sub> =259.9, p&lt;0.001) between the slopes of the three conditions being the basic condition which solubilizes the greatest amount of HO-AAVPA. Finally, the HO-AAVPA-PAMAM-G4 complex showed better antiproliferative effects on MCF-7 (IC<sub>50</sub> = 75.3 μM) than HO-AAVPA (IC<sub>50</sub> = 192 μM). These results evidence that PAMAM- G4 complex improve the biological effects of HO-AAVPA.
description: We gratefully acknowledge to CONACYT (Grants: 254600, APN782, 317214 and SEP-CONACYT-ANUIES-ECOS Francia: 296636), to Instituto Politécnico Nacional (Grant: Proyectos Insignia IPN-2015), and to COFAA-SIP/IPN and Centro de Nanociencias y Micro y Nanotecnologías del IPN.
DOI: 10.5281/zenodo.7535686
title: PAMAM-G4 protect the N-(2-hydroxyphenyl)-2-propylpentanamide (HO-AAVPA) and maintain its antiproliferative effects on MCF-7 (Dataset).

description: Our work group designed and synthesized a promissory compound N-(2-hydroxyphenyl)-2- propylpentanamide (HO-AAVPA). The HO-AAVPA which is a HDAC1 inhibitor and antiproliferative in cancer cell lines. However, HO-AAVPA is poor water solubility and enzymatically metabolized. In this work, the fourth-generation poly(amidoamine) dendrimer (PAMAM-G4) was used as a drug deliver nanocarrier of HO-AAVPA. Moreover, HO-AAVPA and HO-AAVPA-PAMAM complex were submitted to forced degradation studies (heat, acid, base, oxidation and sunlight). Also, the HO-AAVPA- PAMAM-G4 complex was assayed as antiproliferative in a breast cancer cell line (MCF-7). The HO AAVPA-PAMAM-G4 complex was obtained by docking and experimentally using three pH conditions: acid (pH = 3.0), neutral (pH = 7.0) and basic (pH = 9.0) showing that PAMAM-G4 is captured and protect the HO-AAVPA from forced degradation, it is due to sunlight yielded a by-product from HO-AAVPA. In addition, the PAMAM-G4 favored the HO-AAVPA water solubility under basic and neutral pH conditions with significant difference (F <sub>(2,18)</sub> =259.9, p&lt;0.001) between the slopes of the three conditions being the basic condition which solubilizes the greatest amount of HO-AAVPA. Finally, the HO-AAVPA-PAMAM-G4 complex showed better antiproliferative effects on MCF-7 (IC<sub>50</sub> = 75.3 μM) than HO-AAVPA (IC<sub>50</sub> = 192 μM). These results evidence that PAMAM- G4 complex improve the biological effects of HO-AAVPA.
description: We gratefully acknowledge to CONACYT (Grants: 254600, APN782, 317214 and SEP-CONACYT-ANUIES-ECOS Francia: 296636), to Instituto Politécnico Nacional (Grant: Proyectos Insignia IPN-2015), and to COFAA-SIP/IPN and Centro de Nanociencias y Micro y Nanotecnologías del IPN.
DOI: 10.6073/pasta/d6df90e1fa0a858996889a0dfc98466f
title: AST01 Soil temperature measured in burned, burned-clipped, and unburned plots at Konza Prairie

description: Soil temperature was measured using temperature probes and dataloggers at selected depths in small plots tht were either burned annually, burned and clipped to remove aboveground biomass, or left unburned. Raw data was summarized into hourly readings and daily minimum, maximum, and mean temperatures.
DOI: 10.5517/ccdc.csd.cc1pxqr2
title: CCDC 1576745: Experimental Crystal Structure Determination

description: Related Article: Kouki Matsubara, Yuji Yamada, Haruka Iwasaki, Hayao Ikeda, Yuki Kanetsugu, Satoshi Kawata, Yuji Koga|2022|Dalton Trans.|52|572|doi:10.1039/D2DT03617G
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.cc225wtz
title: CCDC 1912291: Experimental Crystal Structure Determination

description: Related Article: Falco Reissig, David Bauer, Karrar Al-Ameed, Sandra Luber, Martin Köckerling, Jörg Steinbach, Hans-Jürgen Pietzsch, Constantin Mamat|2023|Inorg.Chem.Front.|10|370|doi:10.1039/D2QI01637K
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.cc23gxzh
title: CCDC 1950767: Experimental Crystal Structure Determination

description: Related Article: Falco Reissig, David Bauer, Karrar Al-Ameed, Sandra Luber, Martin Köckerling, Jörg Steinbach, Hans-Jürgen Pietzsch, Constantin Mamat|2023|Inorg.Chem.Front.|10|370|doi:10.1039/D2QI01637K
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.cc23js3k
title: CCDC 1952538: Experimental Crystal Structure Determination

description: Related Article: Kai Li, Huang Ye, Xiaoqi Li, Xinqiang Wang, Junhua Luo, Xitao Liu|2023|Inorg.Chem.Front.|10|435|doi:10.1039/D2QI02149H
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.cc23gvdv
title: CCDC 1950687: Experimental Crystal Structure Determination

description: Related Article: Falco Reissig, David Bauer, Karrar Al-Ameed, Sandra Luber, Martin Köckerling, Jörg Steinbach, Hans-Jürgen Pietzsch, Constantin Mamat|2023|Inorg.Chem.Front.|10|370|doi:10.1039/D2QI01637K
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.cc26y86n
title: CCDC 2053911: Experimental Crystal Structure Determination

description: Related Article: Min Li, Yin Wei, Min Shi|2022|Org.Chem.Front.|10|440|doi:10.1039/D2QO01473D
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.cc28fh29
title: CCDC 2098330: Experimental Crystal Structure Determination

description: Related Article: Min Li, Yin Wei, Min Shi|2022|Org.Chem.Front.|10|440|doi:10.1039/D2QO01473D
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.cc28zzkt
title: CCDC 2115147: Experimental Crystal Structure Determination

description: Related Article: Min Li, Yin Wei, Min Shi|2022|Org.Chem.Front.|10|440|doi:10.1039/D2QO01473D
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.cc29ydj6
title: CCDC 2143418: Experimental Crystal Structure Determination

description: Related Article: Ke Ren, Rong Yuan, Yong-Yuan Gui, Xiao-Wang Chen, Shi-Yun Min, Bi-Qin Wang, Da-Gang Yu|2022|Org.Chem.Front.|10|467|doi:10.1039/D2QO01774A
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.cc29ympl
title: CCDC 2143640: Experimental Crystal Structure Determination

description: Related Article: Zhibin Cheng, Yanlong Fang, Wen Dai, Jindan Zhang, Shengchang Xiang, Zhangjing Zhang|2023|J.Mater.Chem.A|11|1180|doi:10.1039/D2TA08598D
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.cc2b8rjx
title: CCDC 2153369: Experimental Crystal Structure Determination

description: Related Article: Zhilin Hou, Allison S. Vanecek, Jetze J. Tepe, Aaron L. Odom|2022|Dalton Trans.|52|721|doi:10.1039/D2DT03484K
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.7544237
title: GlobBiomass dataset of forest biomass, South America N (25 m)

description: The dataset consists of a map of above ground forest biomass (AGB, unit: tons/ha i.e., Mg/ha) of the South American region (between 10°S and 24°N) for the year 2010 (raster dataset) with a pixel size of 25 m x 25 m. AGB is defined as the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots. Per-pixel estimates of above-ground biomass uncertainty expressed as standard error in Mg/ha (raster dataset) are also provided. The AGB estimates were obtained from spaceborne SAR (ALOS PALSAR, Envisat ASAR), optical (Landsat-7), LiDAR (ICESAT), auxiliary datasets with multiple estimation procedures (Santoro et al., ESSD, 2021). In this repository, the AGB data are available in form of tiles of 2° x 2° (bounding box: longitude -180°E/-26°E latitude: -10°N/+24°N). This dataset is the basis for the official GlobBiomass dataset consisting of global estimates of forest biomass with 1 ha pixels (https://doi.pangaea.de/10.1594/PANGAEA.894711). The dataset in this repository represents the original GlobBiomass dataset of AGB from which the official dataset was obtained after averaging from 25 m to 100 m. Given the lower accuracy of the 25 m pixel-based estimates, it is recommended to use the official GlobBiomass dataset unless detailed spatial resolution is a fundamental asset. Technical specifications are provided in the file README_GLOBBIOMASS_South_America_N_20210428.pdf
DOI: 10.5281/zenodo.7544238
title: GlobBiomass dataset of forest biomass, South America N (25 m)

description: The dataset consists of a map of above ground forest biomass (AGB, unit: tons/ha i.e., Mg/ha) of the South American region (between 10°S and 24°N) for the year 2010 (raster dataset) with a pixel size of 25 m x 25 m. AGB is defined as the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots. Per-pixel estimates of above-ground biomass uncertainty expressed as standard error in Mg/ha (raster dataset) are also provided. The AGB estimates were obtained from spaceborne SAR (ALOS PALSAR, Envisat ASAR), optical (Landsat-7), LiDAR (ICESAT), auxiliary datasets with multiple estimation procedures (Santoro et al., ESSD, 2021). In this repository, the AGB data are available in form of tiles of 2° x 2° (bounding box: longitude -180°E/-26°E latitude: -10°N/+24°N). This dataset is the basis for the official GlobBiomass dataset consisting of global estimates of forest biomass with 1 ha pixels (https://doi.pangaea.de/10.1594/PANGAEA.894711). The dataset in this repository represents the original GlobBiomass dataset of AGB from which the official dataset was obtained after averaging from 25 m to 100 m. Given the lower accuracy of the 25 m pixel-based estimates, it is recommended to use the official GlobBiomass dataset unless detailed spatial resolution is a fundamental asset. Technical specifications are provided in the file README_GLOBBIOMASS_South_America_N_20210428.pdf
DOI: 10.5281/zenodo.7540824
title: GlobBiomass dataset of forest biomass, Eurasia (25 m)

description: The dataset consists of a map of above ground forest biomass (AGB, unit: tons/ha i.e., Mg/ha) of the Eurasian continent for the year 2010 (raster dataset) with a pixel size of 25 m x 25 m. AGB is defined as the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots. Per-pixel estimates of above-ground biomass uncertainty expressed as standard error in Mg/ha (raster dataset) are also provided. The AGB estimates were obtained from spaceborne SAR (ALOS PALSAR, Envisat ASAR), optical (Landsat-7), LiDAR (ICESAT), auxiliary datasets with multiple estimation procedures (Santoro et al., ESSD, 2021). In this repository, the AGB data are available in form of tiles of 2° x 2° (bounding box: longitude -26°E/+56°E latitude: +34°N/+90°N). This dataset is the basis for the official GlobBiomass dataset consisting of global estimates of forest biomass with 1 ha pixels (https://doi.pangaea.de/10.1594/PANGAEA.894711). The dataset in this repository represents the original GlobBiomass dataset of AGB for Eurasia from which the official dataset was obtained after averaging from 25 m to 100 m. Given the lower accuracy of the 25 m pixel-based estimates, it is recommended to use the official GlobBiomass dataset unless detailed spatial resolution is a fundamental asset. Technical specifications are provided in the file README_GLOBBIOMASS_Eurasia_20210428.pdf
description: Source of 10.1594/PANGAEA.894711 (Dataset)
DOI: 10.5281/zenodo.7540823
title: GlobBiomass dataset of forest biomass, Eurasia (25 m)

description: The dataset consists of a map of above ground forest biomass (AGB, unit: tons/ha i.e., Mg/ha) of the Eurasian continent for the year 2010 (raster dataset) with a pixel size of 25 m x 25 m. AGB is defined as the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots. Per-pixel estimates of above-ground biomass uncertainty expressed as standard error in Mg/ha (raster dataset) are also provided. The AGB estimates were obtained from spaceborne SAR (ALOS PALSAR, Envisat ASAR), optical (Landsat-7), LiDAR (ICESAT), auxiliary datasets with multiple estimation procedures (Santoro et al., ESSD, 2021). In this repository, the AGB data are available in form of tiles of 2° x 2° (bounding box: longitude -26°E/+56°E latitude: +34°N/+90°N). This dataset is the basis for the official GlobBiomass dataset consisting of global estimates of forest biomass with 1 ha pixels (https://doi.pangaea.de/10.1594/PANGAEA.894711). The dataset in this repository represents the original GlobBiomass dataset of AGB for Eurasia from which the official dataset was obtained after averaging from 25 m to 100 m. Given the lower accuracy of the 25 m pixel-based estimates, it is recommended to use the official GlobBiomass dataset unless detailed spatial resolution is a fundamental asset. Technical specifications are provided in the file README_GLOBBIOMASS_Eurasia_20210428.pdf
description: Source of 10.1594/PANGAEA.894711 (Dataset)
DOI: 10.17869/enu.2017.682093
title: Librarian questionnaire data for IL-DEM project November - December 2016
DOI: 10.17869/enu.2017.682243
title: Community Council Liaison Officer questionnaire data for IL-DEM project November - December 2016

description: Results of questionnaire emailed to all Community Council Liaison Officers (1) in Scotland. Questions were around their Community Councils' use of information skills, for a project around information literacy in community-level democracy.
DOI: 10.34740/kaggle/dsv/4864658
title: Egypt Gold Prices | Daily Updated
DOI: 10.17869/enu.2017.682227
title: Community Councillors surveydata for IL-DEM project

description: Results of online survey of Community Councillors around Scotland. Most questions were around their use of information skills, for a project around information literacy in community-level democracy, but some questions were about their general roles and experience of being a Community Councillor, others collected demographic data and information about lurking
DOI: 10.17869/enu.2015.9367
title: Roll project rich vehicle routing benchmark problems

description: This document describes a large set of Benchmark Problem Instances for the Rich Vehicle Routing Problem. All files are supplied as a single compressed (zipped) archive containing the instances, in XML format, an Object-Oriented Model supplied in XSD format, documentation and an XML parser written in Java to ease use