cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7267/bk128k15d
title: Fish and temperature data from Hinkle Creek summer 2021

description: These data were all collected in summer 2021 at Hinkle Creek watershed, a headwater ecosystem in a managed forest landscape in western Oregon. The data set has two components. The first component of the data set includes information about age 1 and older fish collected from two sections of the South Fork of Hinkle Creek in summer 2021 using multiple pass depletion backback electrofishing methods. Electrofishing in these two reaches were conducted in July 2021 and again in September 2021 – each month has its own csv data file. Information in these two components of the data set include the total length (mm), weight (g) and species of fish (Oncorhynchus clarkii; Oncorhynchus mykiss). We also include data on which pass each fish was captured so depletion-based population estimates can be calculated. The second component of this study is stream temperature from the mainstem of the South Fork Hinkle Creek, and also includes two data files. The first data file includes stream temperature (in Celsius) from summer 2021 collected using a HOBO data logger within 20m of each of the two fish survey locations. The second data file includes maximum daily temperatures from each site in 2021 and from data collected at these sites from 2006 to 2011, before the Archie Creek Fire impacted this site (in Sept. 2020).
DOI: 10.6084/m9.figshare.21062980
title: Supplementary Material for: Effect of Hemadsorption Therapy in Critically Ill Patients with COVID-19 (CYTOCOV-19): A Prospective Randomized Controlled Pilot Trial

description: <b><i>Introduction:</i></b> Immunomodulatory therapies have shown beneficial effects in patients with severe COVID-19. Patients with hypercytokinemia might benefit from the removal of inflammatory mediators via hemadsorption. <b><i>Methods:</i></b> Single-center prospective randomized trial at the University Medical Center Hamburg-Eppendorf (Germany). Patients with confirmed COVID-19, refractory shock (norepinephrine ≥0.2 µg/kg/min to maintain a mean arterial pressure ≥65 mm Hg), interleukin-6 (IL-6) ≥500 ng/L, and an indication for renal replacement therapy or extracorporeal membrane oxygenation were included. Patients received either hemadsorption therapy (HT) or standard medical therapy (SMT). For HT, a CytoSorb® adsorber was used for up to 5 days and was replaced every 18–24 h. The primary endpoint was sustained hemodynamic improvement (norepinephrine ≤0.05 µg/kg/min ≥24 h). <b><i>Results:</i></b> Of 242 screened patients, 24 were randomized and assigned to either HT (<i>N</i> = 12) or SMT (<i>N</i> = 12). Both groups had similar severity as assessed by SAPS II (median 75 points HT group vs. 79 SMT group, <i>p</i> = 0.590) and SOFA (17 vs. 16, <i>p</i> = 0.551). Median IL-6 levels were 2,269 (IQR 948–3,679) and 3,747 (1,301–5,415) ng/L in the HT and SMT groups at baseline, respectively (<i>p</i> = 0.378). Shock resolution (primary endpoint) was reached in 33% (4/12) versus 17% (2/12) in the HT and SMT groups, respectively (<i>p</i> = 0.640). Twenty-eight-day mortality was 58% (7/12) in the HT compared to 67% (8/12) in the SMT group (<i>p</i> = 1.0). During the treatment period of 5 days, 6/12 (50%) of the SMT patients died, in contrast to 1/12 (8%) in the HT group. <b><i>Conclusion:</i></b> HT was associated with a non-significant trend toward clinical improvement within the intervention period. In selected patients, HT might be an option for stabilization before transfer and further therapeutic decisions. This finding warrants further investigation in larger trials.
DOI: 10.5281/zenodo.4782638
title: Property Identification in Question Answering - Fails Dataset

description: This dataset provides the results of property identification analysis processes by the Falcon 2.0 API [1] on the following datasets: LC-QuAD 1.0 QALD 1-9 SimpleDBpediaQA The dataset is structured in JSON format and contains the following keys: "source" - the dataset the question originates from "question" - the natural language question that was send to the Falcon 2.0 API "notFoundProperties" - the list of properties that are required for the SPARQL - according to the dataset - and that have not been found by the Falcon 2.0 API [1] Ahmad Sakor, Kuldeep Singh, Anery Patel, and Maria-Esther Vidal. 2020. Falcon 2.0: An Entity and Relation Linking Tool over Wikidata. Proceedings of the 29th ACM International Conference on Information & Knowledge Management. Association for Computing Machinery, New York, NY, USA, 3141–3148. DOI:https://doi.org/10.1145/3340531.3412777 API: https://labs.tib.eu/falcon/falcon2/api-use
DOI: 10.5281/zenodo.4782639
title: Property Identification in Question Answering - Fails Dataset

description: This dataset provides the results of property identification analysis processes by the Falcon 2.0 API [1] on the following datasets: LC-QuAD 1.0 QALD 1-9 SimpleDBpediaQA The dataset is structured in JSON format and contains the following keys: "source" - the dataset the question originates from "question" - the natural language question that was send to the Falcon 2.0 API "notFoundProperties" - the list of properties that are required for the SPARQL - according to the dataset - and that have not been found by the Falcon 2.0 API [1] Ahmad Sakor, Kuldeep Singh, Anery Patel, and Maria-Esther Vidal. 2020. Falcon 2.0: An Entity and Relation Linking Tool over Wikidata. Proceedings of the 29th ACM International Conference on Information & Knowledge Management. Association for Computing Machinery, New York, NY, USA, 3141–3148. DOI:https://doi.org/10.1145/3340531.3412777 API: https://labs.tib.eu/falcon/falcon2/api-use
DOI: 10.6084/m9.figshare.20765965
title: Iron hydride in the Earth's inner core and its geophysical implications

description: This is data repository for "Iron hydride in the Earth's inner core and its geophysical implications". In this we include the data used to plot Figure 1, Figure 3-8 in the paper.
DOI: 10.5281/zenodo.6806225
title: Effect of Dimensionality on Photoluminescence and Dielectric Properties of Imidazolium Lead Bromides

description: single-crystal, powder XRD data, Raman, absorption, emission spectra, DSC, dielectric measurements and SHG data
DOI: 10.5281/zenodo.6806224
title: Effect of Dimensionality on Photoluminescence and Dielectric Properties of Imidazolium Lead Bromides

description: single-crystal, powder XRD data, Raman, absorption, emission spectra, DSC, dielectric measurements and SHG data
DOI: 10.17632/btzn9wmr99.1
title: Six- Minute Walk Test in Children with Osteogenesis Imperfecta: Case Control Study

description: The raw data of the 6MWD among children with OI type I and IV, and TD children.
DOI: 10.5281/zenodo.7066539
title: Projects and Organizations in Open Sustainable Technology

description: <strong>A curated database of open technology projects and organisations working for a stable climate, energy supply and natural resources. The dataset was created by the Open Sustainable Technology Initiative</strong>
DOI: 10.5281/zenodo.7066538
title: Projects and Organizations in Open Sustainable Technology

description: <strong>A curated database of open technology projects and organisations working for a stable climate, energy supply and natural resources. The dataset was created by the Open Sustainable Technology Initiative</strong>
DOI: 10.5517/ccdc.csd.cc2bvpyv
title: CCDC 2170618: Experimental Crystal Structure Determination

description: Related Article: Ferdinand Belaj, Ljiljana Mihajlovic-Lalic, Nadia C. Mösch-Zanetti|2022|CSD Communication|||
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.cc2bvpzw
title: CCDC 2170619: Experimental Crystal Structure Determination

description: Related Article: Ferdinand Belaj, Lydia M. Peschel, Nadia C. Mösch-Zanetti|2022|CSD Communication|||
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.cc2bvq1z
title: CCDC 2170621: Experimental Crystal Structure Determination

description: Related Article: Ferdinand Belaj, Lydia M. Peschel, Christof Holzer, Nadia C. Mösch-Zanetti|2022|CSD Communication|||
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.cc2bvq31
title: CCDC 2170623: Experimental Crystal Structure Determination

description: Related Article: Ferdinand Belaj, Pedro Traar, Nadia C. Mösch-Zanetti|2022|CSD Communication|||
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.cc2bvq53
title: CCDC 2170625: Experimental Crystal Structure Determination

description: Related Article: Ferdinand Belaj, Niklas Zwettler, Nadia C. Mösch-Zanetti|2022|CSD Communication|||
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.cc2bvrlk
title: CCDC 2170669: Experimental Crystal Structure Determination

description: Related Article: JEN-HO TSENG|2022|CSD Communication|||
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.cc2bw7j0
title: CCDC 2171132: Experimental Crystal Structure Determination

description: Related Article: Yu-Han Xia, Jun-Jie Fang, Xin-Yan Xia, Zheng Liu, Yun-Peng Xie, Xing Lu|2022|Cryst.Growth Des.|22|5658|doi:10.1021/acs.cgd.2c00744
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.cc2bw7k1
title: CCDC 2171133: Experimental Crystal Structure Determination

description: Related Article: Yu-Han Xia, Jun-Jie Fang, Xin-Yan Xia, Zheng Liu, Yun-Peng Xie, Xing Lu|2022|Cryst.Growth Des.|22|5658|doi:10.1021/acs.cgd.2c00744
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: 10.6084/m9.figshare.20067356
title: EXP2_TEMP_05-14.nc

description: experiment2 sea temperature
DOI: 10.6084/m9.figshare.20067356.v2
title: Figure13_data

description: CESM-DART outputs
DOI: 10.6084/m9.figshare.20071796
title: Figure11_data

description: cesm-dart ouputs
DOI: 10.6084/m9.figshare.20071796.v2
title: Figure12_data

description: cesm-dart ouputs
DOI: 10.5281/zenodo.3823840
title: Drone aerial imagery of a section of coastline in a small bay in Godthåbsfjord (SW Greenland) acquired during Mission Arctic 2017

description: Aerial images of a small island in Kobbefjord (SW Greenland) were acquired on 11 July 2017 using a DJI Phantom 3 Standard quadcopter drone. The imagery was acquired during the Mission Arctic citizen science expedition (http://www.missionarctic.com/). Overlapping images were acquired during two consecutive flights using the 'interval' setting with a period of 5 seconds in the DJI Go app. The drone was flown manually. This drone survey was carried out with two primary objectives in mind: 1) Identify and quantify the macroalgae growing on the coast; 2) Identify any archaeological and cultural heritage sites that may be present. Images were processed using Agisoft PhotoScan Pro (v1.4.4; Linux Ubuntu). Images were aligned using the script CARMA_PhotoScan_Align.py (see this script for settings). After image alignment, the bounding box was visually inspected and the sparse point cloud was thinned using thresholds for the reconstruction uncertainty, projection accuracy, and reprojection error (gradual selection). The remaining tie points in the sparse cloud were then used to build the dense cloud. The settings used for this step can be found in the script CARMA_PhotoScan_GS_DC_v2.py. Next, the dense point cloud was used to generate a digital elevation model (DEM) and, subsequently, an orthomosaic. The Agisoft PhotoScan processing report is also included.
DOI: 10.5281/zenodo.3823839
title: Drone aerial imagery of a headland in Nuup Kangerlua (Godthåbsfjord, SW Greenland) acquired during Mission Arctic 2017

description: Aerial images of a headland in Nuup Kangerlua (Godthåbsfjord, Greenland) were acquired on 11 July 2017 using a DJI Phantom 3 Standard drone during the Mission Arctic citizen science expedition. Images were processed in Agisoft Metashape. A digital elevation model (DEM) and an orthomosaic were exported at 2.5 cm resolution. A 5 cm resolution orthomosaic is also included. For details, see the readme and processing report that accompanies this dataset.
DOI: 10.5281/zenodo.7066573
title: Drone aerial imagery of a headland in Nuup Kangerlua (Godthåbsfjord, SW Greenland) acquired during Mission Arctic 2017

description: Aerial images of a headland in Nuup Kangerlua (Godthåbsfjord, Greenland) were acquired on 11 July 2017 using a DJI Phantom 3 Standard drone during the Mission Arctic citizen science expedition. Images were processed in Agisoft Metashape. A digital elevation model (DEM) and an orthomosaic were exported at 2.5 cm resolution. A 5 cm resolution orthomosaic is also included. For details, see the readme and processing report that accompanies this dataset.
DOI: 10.6084/m9.figshare.21076333
title: Figure2_data

description: CESM-DART outputs
DOI: 10.6084/m9.figshare.21076333.v1
title: Figure2_data

description: CESM-DART outputs
DOI: 10.6084/m9.figshare.20071766
title: Figure2_data

description: cesm-dart outputs
DOI: 10.6084/m9.figshare.20071766.v2
title: Figure3_data

description: cesm-dart outputs
DOI: 10.6084/m9.figshare.20071769
title: Figure3_data

description: cesm-dart outputs
DOI: 10.6084/m9.figshare.20071769.v2
title: Figure4_data

description: cesm-dart outputs
DOI: 10.6084/m9.figshare.20071775
title: Figure4_data

description: cesm-dart outputs
DOI: 10.6084/m9.figshare.20071775.v2
title: Figure5_data

description: cesm-dart outputs
DOI: 10.6084/m9.figshare.20071778
title: Figure5_data

description: cesm-dart outputs
DOI: 10.6084/m9.figshare.20071778.v2
title: Figure6_data

description: cesm-dart outputs
DOI: 10.6084/m9.figshare.20071781
title: Figure6_data

description: cesm-dart outputs
DOI: 10.6084/m9.figshare.20071781.v2
title: Figure7_data

description: cesm-dart outputs
DOI: 10.6084/m9.figshare.20071784
title: Figure7_data

description: cesm-dart ouputs
DOI: 10.6084/m9.figshare.20071784.v2
title: Figure8_data

description: cesm-dart ouputs
DOI: 10.6084/m9.figshare.20071787
title: Figure8_data

description: cesm-dart ouputs
DOI: 10.6084/m9.figshare.20071787.v2
title: Figure9_data

description: cesm-dart ouputs
DOI: 10.6084/m9.figshare.20071790
title: FIgure9_data

description: cesm-dart ouputs
DOI: 10.6084/m9.figshare.20071790.v2
title: FIgure10_data

description: cesm-dart ouputs
DOI: 10.6084/m9.figshare.20071793
title: Figure10_data

description: cesm-dart ouputs
DOI: 10.6084/m9.figshare.20071793.v2
title: Figure11_data

description: cesm-dart ouputs
DOI: 10.5281/zenodo.3731024
title: Drone aerial imagery of macroalgae growing around a small island in Kobbefjord (SW Greenland) acquired during Mission Arctic 2017

description: Aerial images of a small island in Kobbefjord (SW Greenland) were acquired on 5 July 2017 using a DJI Phantom 3 Standard quadcopter drone. The imagery was acquired during the Mission Arctic citizen science expedition (http://www.missionarctic.com/). Overlapping images were acquired during two consecutive flights using the 'interval' setting with a period of 5 seconds in the DJI Go app. The drone was flown manually around the island. This drone survey was carried out with two primary objectives in mind: 1) Identify and quantify the macroalgae growing along the island's periphery; 2) Identify any archaeological and cultural heritage sites that may be present on the island. The images were processed using Agisoft PhotoScan Pro (v1.4.4; Linux Ubuntu). Images were aligned using the script CARMA_PhotoScan_Align.py (see this script for settings). After image alignment, the bounding box was visually inspected and the sparse point cloud was thinned using thresholds for the reconstruction uncertainty, projection accuracy, and reprojection error (gradual selection). The remaining tie points in the sparse cloud were then used to build the dense cloud. The settings used for this step can be found in the script CARMA_PhotoScan_GS_DC_v2.py. Next, the dense point cloud was used to generate a digital elevation model (DEM) and, subsequently, an orthomosaic. The Agisoft PhotoScan processing report is also included.
DOI: 10.5281/zenodo.7063943
title: Drone aerial imagery of a small island in Kobbefjord (SW Greenland) acquired during Mission Arctic 2017

description: <code>Aerial images of a small island in Kobbefjord (SW Greenland) were acquired on 5 July 2017 using a DJI Phantom 3 Standard drone during the Mission Arctic citizen science expedition. Images were processed in Agisoft Metashape. A digital elevation model (DEM) and an orthomosaic were exported at 5 cm resolution. For details, see the readme and processing report that accompanies this dataset. </code>
DOI: 10.5281/zenodo.3731023
title: Drone aerial imagery of a small island in Kobbefjord (SW Greenland) acquired during Mission Arctic 2017

description: <code>Aerial images of a small island in Kobbefjord (SW Greenland) were acquired on 5 July 2017 using a DJI Phantom 3 Standard drone during the Mission Arctic citizen science expedition. Images were processed in Agisoft Metashape. A digital elevation model (DEM) and an orthomosaic were exported at 5 cm resolution. For details, see the readme and processing report that accompanies this dataset. </code>
DOI: 10.5281/zenodo.7066580
title: Drone aerial imagery of a small island in Kobbefjord (SW Greenland) acquired during Mission Arctic 2017

description: <code>Aerial images of a small island in Kobbefjord (SW Greenland) were acquired on 5 July 2017 using a DJI Phantom 3 Standard drone during the Mission Arctic citizen science expedition. Images were processed in Agisoft Metashape. A digital elevation model (DEM) and an orthomosaic were exported at 5 cm resolution. For details, see the readme and processing report that accompanies this dataset. </code>
DOI: 10.15151/esrf-es-874800545
title: Danish Biochemistry and Structural biology BAG

description: This BAG application gathers many danish esrf users with the area of structural biochemistry (including both crystallography, cryoEM and SAXS). Some of the work focuses on carbohydrate active enzymes of all classes, with particular focus on biotechnological applications. Several PIs work in the important membrane proteins area, with both receptors and transporters as main focus, almost all potential or current drug targets. Other groups work on non membrane proteins which are also potential drug targets or in some way known to potentially be involved in disease - enzymes, bacterial antibiotic resistance and survival, DNA binding proteins and other regulators, immune system components. One crystallographic method development project is also included as are two principally bioSAXS projects. BioSAXS in addition contributes to several of the other projects, and infact we ask in this round for less Xtal beamtime and more bioSAXS beamtime.
DOI: 10.15151/esrf-es-893681931
title: Development of novel small molecules to target cellular pathways

description: Small molecules represent powerful tools to dissect physiological and pathological states of signaling pathways, yet require characterization through X-ray crystallography. This proposal encompasses the investigation of new classes of small molecules that target difficult proteins and non-typical binding sites. This includes the development of supramolecular compounds or cyclic peptides to address “non-druggable" proteins. The main collaborative research fields are tackling Ras protein signaling with structure-guided ligand design, developing inhibitors of the Ras-binding protein PDEd, screening of a novel sp3-enriched fragment library or targeting genetic regulators. Cellular signaling will also be addressed through the structural analysis of deubiquitinating enzymes or regulators of the kinetochore. Finally, we plan to crystallize membrane proteins including GPCRs in order to understand their biological function, characterize their ligand specificity and develop novel regulators.
DOI: 10.15151/esrf-es-922163563
title: IHR

description: In house research , Id15a practical for PhD students
DOI: 10.5281/zenodo.7066615
title: tACS and Game

description: supplement for paper
DOI: 10.5281/zenodo.7066614
title: tACS and Game

description: supplement for paper
DOI: 10.6084/m9.figshare.21076363
title: F1000 data final

description: Activity monitoring of hospitalized stroke survivors by caregivers and physiotherapist
DOI: 10.34740/kaggle/dsv/4184760
title: YouTube Daily
DOI: 10.7303/syn36038127.1
title: Airway changes
DOI: 10.25387/g3.19070438
title: Supplemental Material for Nantongo et al., 2022

description: Phenotypic and genotypic data
DOI: 10.5517/ccdc.csd.cc2c6pz8
title: CCDC 2181190: Experimental Crystal Structure Determination

description: Related Article: Yu-Han Xia, Jun-Jie Fang, Xin-Yan Xia, Zheng Liu, Yun-Peng Xie, Xing Lu|2022|Cryst.Growth Des.|22|5658|doi:10.1021/acs.cgd.2c00744
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.