cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5258/soton/d1929
title: Auroral Structure and Kinetics (ASK) video observations of Fragmented Aurora-like Emissions (FAEs), 2014/12/22 06:27 UT

description: For a full description see Whiter et al., Ann. Geophys, 2021 (http://doi.org/10.5194/angeo-2020-95). The top half shows a keogram of ASK1 data (N2 1P) made with a moving cut, in order to show the drift of the FAEs and their internal dynamics. Shown below the keogram are images recorded simultaneously in N2 1P (ASK1) and OI 777.4 nm (ASK3). The white line drawn on top of the keogram marks the time of the images. The white box drawn on top of the N2 1P image marks the keogram cut.
DOI: 10.15468/k2p88z
title: Thalictrum bouffordii (Ranunculaceae), a new species from the Qionglai mountains region in western Sichuan, China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zeng, You-Pai, Yuan, Qiong, Yang, Qin-Er (2021): Thalictrum bouffordii (Ranunculaceae), a new species from the Qionglai mountains region in western Sichuan, China. Phytotaxa 510 (1): 18-28, DOI: 10.11646/phytotaxa.510.1.2, URL: http://dx.doi.org/10.11646/phytotaxa.510.1.2
DOI: 10.15468/j92rk4
title: A new species of Albatrellus sensu stricto (Albatrellaceae, Russuales) from China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zhou, Hong-Min, Wu, Ying-Da, Dai, Yu-Cheng (2021): A new species of Albatrellus sensu stricto (Albatrellaceae, Russuales) from China. Phytotaxa 510 (1): 43-52, DOI: 10.11646/phytotaxa.510.1.4, URL: http://dx.doi.org/10.11646/phytotaxa.510.1.4
DOI: 10.15468/tqau97
title: Novelties in Begonia (Begoniaceae) from the campos rupestres of Serra do Padre Ângelo, Minas Gerais, Brazil: a new species and a new record

description: This dataset contains the digitized treatments in Plazi based on the original journal article Kollmann, Ludovic Jean Charles, Gonella, Paulo Minatel (2021): Novelties in Begonia (Begoniaceae) from the campos rupestres of Serra do Padre Ângelo, Minas Gerais, Brazil: a new species and a new record. Phytotaxa 510 (1): 69-77, DOI: 10.11646/phytotaxa.510.1.7, URL: http://dx.doi.org/10.11646/phytotaxa.510.1.7
DOI: 10.15468/dhkn8m
title: Premna mwadimei (Lamiaceae), a new species from Cha Simba, a remnant of coastal forests of Kenya, East Africa

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ngumbau, Veronicah Mutele, Musili, Paul Mutuku, Hu, Guang-Wan (2021): Premna mwadimei (Lamiaceae), a new species from Cha Simba, a remnant of coastal forests of Kenya, East Africa. Phytotaxa 510 (2): 155-162, DOI: 10.11646/phytotaxa.510.2.4, URL: http://dx.doi.org/10.11646/phytotaxa.510.2.4
DOI: 10.6084/m9.figshare.12402425
title: Extracted Schemas from the Life Sciences Linked Open Data Cloud

description: This dataset is related to the manuscript "An empirical meta-analysis of the life sciences linked open data on the web" published at Nature Scientific Data. <br>If you use the dataset, please cite the manuscript as follows:Kamdar, M.R., Musen, M.A. An empirical meta-analysis of the life sciences linked open data on the web. Sci Data 8, 24 (2021). https://doi.org/10.1038/s41597-021-00797-y<br><br>We have extracted schemas from more than 80 publicly available biomedical linked data graphs in the <b>Life Sciences Linked Open Data (LSLOD) cloud</b> into an LSLOD schema graph and conduct an empirical meta-analysis to evaluate the extent of semantic heterogeneity across the LSLOD cloud. <br>The dataset published here contains the following files:- The set of Linked Data Graphs from the LSLOD cloud from which schemas are extracted.- Refined Sets of extracted classes, object properties, data properties, and datatypes, shared across the Linked Data Graphs on LSLOD cloud. Where the schema element is reused from a Linked Open Vocabulary or an ontology, it is explicitly indicated.- The LSLOD Schema Graph, which contains all the above extracted schema elements interlinked with each other based on the underlying content. Sample instances and sample assertions are also provided along with broad level characteristics of the modeled content. <br><br>The LSLOD Schema Graph is saved as a JSON Pickle File. To read the JSON object in this Pickle file use the Python command as follows:<i>with open('LSLOD-Schema-Graph.json.pickle' , 'rb') as infile:</i><i> x = pickle.load(infile, encoding='iso-8859-1')</i><br>Check the Referenced Link for more details on this research, raw data files, and code references.<br>
DOI: 10.6084/m9.figshare.12402425.v1
title: Extracted Schemas from the Life Sciences Linked Open Data Cloud

description: This dataset is related to the manuscript "An Empirical Meta-analysis of the Life Sciences (Linked?) Open Data on the Web" currently under review at Nature Scientific Data.<br>We have extracted schemas from more than 80 publicly available biomedical linked data graphs in the <b>Life Sciences Linked Open Data (LSLOD) cloud</b> into an LSLOD schema graph and conduct an empirical meta-analysis to evaluate the extent of semantic heterogeneity across the LSLOD cloud. <br>The dataset published here contains the following files:- The set of Linked Data Graphs from the LSLOD cloud from which schemas are extracted.- Refined Sets of extracted classes, object properties, data properties, and datatypes, shared across the Linked Data Graphs on LSLOD cloud. Where the schema element is reused from a Linked Open Vocabulary or an ontology, it is explicitly indicated.- The LSLOD Schema Graph, which contains all the above extracted schema elements interlinked with each other based on the underlying content. Sample instances and sample assertions are also provided along with broad level characteristics of the modeled content.<br>Check the Referenced Link for more details on this research, raw data files, and code references.<br>
DOI: 10.6084/m9.figshare.14420692
title: Comprehensive risk analysis of postoperative complications in patients with rheumatoid arthritis for the 2020 update of the Japan College of Rheumatology clinical practice guidelines for the management of rheumatoid arthritis

description: To examine the risk factors of surgical site infection (SSI), delayed wound healing, and death after orthopedic surgery in patients with rheumatoid arthritis (RA). We identified articles indexed in the Cochrane Library, PubMed, and Japan Centra Revuo Medicina Web published from 2013 to 2019 and other articles. Articles fulfilling the predefined inclusion criteria were reviewed systematically and their quality was appraised according to the Grading of Recommendations Assessment, Development, and Evaluation system with some modifications. After inclusion and exclusion by full-text review, 29 articles were analyzed. Use of biological disease modifying antirheumatic drugs was a risk factor of SSI (risk ratio 1.66, 95% confidence interval 1.25–2.19), but not of delayed wound healing. RA itself was a risk factor of SSI, and oral glucocorticoid use was a risk factor of SSI in three of the four studies analyzed and of postoperative death. Age, male sex, comorbidities such as diabetes mellitus and chronic obstructive pulmonary disease, surgical factors such as foot/ankle and spine surgery and longer operative time were risk factors of those postoperative complications. Patients with those factors should be dealt with appropriate cautions to strike a risk–benefit balance of orthopedic surgeries.
DOI: 10.6084/m9.figshare.14420692.v2
title: Comprehensive risk analysis of postoperative complications in patients with rheumatoid arthritis for the 2020 update of the Japan College of Rheumatology clinical practice guidelines for the management of rheumatoid arthritis

description: To examine the risk factors of surgical site infection (SSI), delayed wound healing, and death after orthopedic surgery in patients with rheumatoid arthritis (RA). We identified articles indexed in the Cochrane Library, PubMed, and Japan Centra Revuo Medicina Web published from 2013 to 2019 and other articles. Articles fulfilling the predefined inclusion criteria were reviewed systematically and their quality was appraised according to the Grading of Recommendations Assessment, Development, and Evaluation system with some modifications. After inclusion and exclusion by full-text review, 29 articles were analyzed. Use of biological disease modifying antirheumatic drugs was a risk factor of SSI (risk ratio 1.66, 95% confidence interval 1.25–2.19), but not of delayed wound healing. RA itself was a risk factor of SSI, and oral glucocorticoid use was a risk factor of SSI in three of the four studies analyzed and of postoperative death. Age, male sex, comorbidities such as diabetes mellitus and chronic obstructive pulmonary disease, surgical factors such as foot/ankle and spine surgery and longer operative time were risk factors of those postoperative complications. Patients with those factors should be dealt with appropriate cautions to strike a risk–benefit balance of orthopedic surgeries.
DOI: 10.6084/m9.figshare.14420692.v1
title: Comprehensive risk analysis of postoperative complications in patients with rheumatoid arthritis for the 2020 update of the Japan college of rheumatology clinical practice guidelines for the management of rheumatoid arthritis

description: To examine the risk factors of surgical site infection (SSI), delayed wound healing, and death after orthopedic surgery in patients with rheumatoid arthritis (RA). We identified articles indexed in the Cochrane Library, PubMed, and Japan Centra Revuo Medicina Web published from 2013 to 2019 and other articles. Articles fulfilling the predefined inclusion criteria were reviewed systematically and their quality was appraised according to the Grading of Recommendations Assessment, Development, and Evaluation system with some modifications. After inclusion and exclusion by full-text review, 29 articles were analyzed. Use of biological disease modifying antirheumatic drugs was a risk factor of SSI (risk ratio 1.66, 95% confidence interval 1.25 to 2.19), but not of delayed wound healing. RA itself was a risk factor of SSI, and oral glucocorticoid use was a risk factor of SSI in three of the four studies analyzed and of postoperative death. Age, male sex, comorbidities such as diabetes mellitus and chronic obstructive pulmonary disease, surgical factors such as foot/ankle and spine surgery and longer operative time were risk factors of those postoperative complications. Patients with those factors should be dealt with appropriate cautions to strike a risk–benefit balance of orthopedic surgeries.
DOI: 10.6084/m9.figshare.16547724
title: HW-PR-NAS Weghts

description: The weights of the models of the system HW-PR-NAS
DOI: 10.5281/zenodo.5341454
title: IRIS DOD-SBIR database

description: This database collects and links U.S. federal funded awards to U.S. utility patents, and such patents to virtual patent marking (VPM) pages, in line with two related project: 3PFL and IPRoduct. Specifically, this database looks at awards provided by the U.S. Department of Defense (DOD) within the Small Business Innovation Research (SBIR) and Small Business Technology Transfer Program (STTR) programs from 1984 to 2018. The database is part of a project, IRIS - Insights on the "Real" Impact of Science. The project aims at assessing how public investment in research and development (R&D) translates into commercial products for the final consumer. The database is composed of three main elements: awards; patents; and web pages. The database provides several information pieces. This has been possible by making use of several sources, that has been properly combined and further elaborated in a convenient way. Information about the awards comes from the Defense Contract Action Data System (DCADS), for the years 1984--2001, and from USAspending.gov, for the years 2001--2018. Most information about the patents is provided by PatentsView, while specific information comes from the Patent Examination Research Dataset (PatEx) or from PATSTAT.
description: The database is in a beta version. A stable release will come soon. Apart for the information about the Data Universal Numbering System (DUNS) number by Dun & Bradstreet (D&B), the database is released under the CC BY License. The companion code to reproduce the database and a document describing the data and its construction process will be soon released.
DOI: 10.5281/zenodo.5341453
title: IRIS DOD-SBIR database

description: This database collects and links U.S. federal funded awards to U.S. utility patents, and such patents to virtual patent marking (VPM) pages, in line with two related project: 3PFL and IPRoduct. Specifically, this database looks at awards provided by the U.S. Department of Defense (DOD) within the Small Business Innovation Research (SBIR) and Small Business Technology Transfer Program (STTR) programs from 1984 to 2018. The database is part of a project, IRIS - Insights on the "Real" Impact of Science. The project aims at assessing how public investment in research and development (R&D) translates into commercial products for the final consumer. The database is composed of three main elements: awards; patents; and web pages. The database provides several information pieces. This has been possible by making use of several sources, that has been properly combined and further elaborated in a convenient way. Information about the awards comes from the Defense Contract Action Data System (DCADS), for the years 1984--2001, and from USAspending.gov, for the years 2001--2018. Most information about the patents is provided by PatentsView, while specific information comes from the Patent Examination Research Dataset (PatEx) or from PATSTAT.
description: The database is in a beta version. A stable release will come soon. Apart for the information about the Data Universal Numbering System (DUNS) number by Dun & Bradstreet (D&B), the database is released under the CC BY License. The companion code to reproduce the database and a document describing the data and its construction process will be soon released.
DOI: 10.5281/zenodo.5347289
title: 3D crustal velocity model for the wider Zagreb area

description: The 3D structural model covers 60 km by 80 km area around the city of Zagreb, Croatia, and extends to the depth of 60 km. It describes seismologically relevant parameters, density, P- and S-wave velocity, on a working grid of 125 m in UTM (zone 33N) coordinate system. The model is represented by four main layers: sediments, upper crust, lower crust and mantle. The format of the model is suitable for simulations obtained using software package SPECFEM3D Cartesian (geodynamics.org/cig/software/specfem3d/; accessed Aug 2021).<br> Description of the formatting of the file can be found on the SPECFEM3D 'engCartesian package documentation site:<br> https://specfem3d.readthedocs.io/en/latest/13_changing_the_model/#using-external-tomographic-earth-models<br> (accessed Aug 2021). 3D seismic model for the wider Zagreb area was assembled using publicly available geological and geophysical data. It describes in detail main structures observed in the uppermost part of the crust (e.g. sedimentary basins and high-velocity structures) and is embedded within the regional EPcrust crustal model (https://doi.org/10.1111/j.1365-246X.2011.04940.x). The performance of<br> the model was tested by simulating ground motion for several moderate earthquakes. Results show that the 3D model is able to reproduce main characteristics of the ground motion, primarily shaking duration and amplification effects. Therefore, it is suited for simulation of shaking scenarios in the wider Zagreb area, mostly for T &gt; 1 s.
DOI: 10.5281/zenodo.5347288
title: 3D crustal velocity model for the wider Zagreb area

description: The 3D structural model covers 60 km by 80 km area around the city of Zagreb, Croatia, and extends to the depth of 60 km. It describes seismologically relevant parameters, density, P- and S-wave velocity, on a working grid of 125 m in UTM (zone 33N) coordinate system. The model is represented by four main layers: sediments, upper crust, lower crust and mantle. The format of the model is suitable for simulations obtained using software package SPECFEM3D Cartesian (geodynamics.org/cig/software/specfem3d/; accessed Aug 2021).<br> Description of the formatting of the file can be found on the SPECFEM3D 'engCartesian package documentation site:<br> https://specfem3d.readthedocs.io/en/latest/13_changing_the_model/#using-external-tomographic-earth-models<br> (accessed Aug 2021). 3D seismic model for the wider Zagreb area was assembled using publicly available geological and geophysical data. It describes in detail main structures observed in the uppermost part of the crust (e.g. sedimentary basins and high-velocity structures) and is embedded within the regional EPcrust crustal model (https://doi.org/10.1111/j.1365-246X.2011.04940.x). The performance of<br> the model was tested by simulating ground motion for several moderate earthquakes. Results show that the 3D model is able to reproduce main characteristics of the ground motion, primarily shaking duration and amplification effects. Therefore, it is suited for simulation of shaking scenarios in the wider Zagreb area, mostly for T &gt; 1 s.
DOI: 10.25810/hdxe-2m79
title: Ultra-sensitive multi-species spectroscopic breath analysis for real-time health monitoring and diagnostics

description: Abstract from associated manuscript: Abstract from the manuscript: Breath analysis enables rapid, non-invasive diagnostics, as well as long-term monitoring, of human health through the identification and quantification of exhaled biomarkers. Here, for the first time, we demonstrate the remarkable capabilities of mid-infrared (mid-IR) cavity-enhanced direct frequency comb spectroscopy (CE-DFCS) applied to breath analysis. We simultaneously detect and monitor as a function of time four breath biomarkers - CH3OH, CH4, H2O and HDO - as well as illustrating the feasibility of detecting at least six more (H2CO, C2H6, OCS, C2H4, CS2 and NH3) without modifications to the experimental apparatus. We achieve ultra-high detection sensitivity at the parts-per-trillion level. This is made possible by the combination of the broadband spectral coverage of a frequency comb, the high spectral resolution afforded by the individual comb teeth, and the sensitivity enhancement resulting from a high-finesse cavity. Exploiting recent advances in frequency comb, optical coating, and photodetector technologies, we can access a large variety of biomarkers with strong carbon-hydrogen bond spectral signatures in the mid-IR.
DOI: 10.6084/m9.figshare.15050084.v2
title: Tracing of intracellular pH in cancer cells in response to Taxol treatment

description: Genetically encoded pH-sensors are the promising instrument for intracellular pH (pHi) registration. In tumor tissue the reversed pH gradient is known to be the important hallmark of cancer and regulator of tumor response on chemotherapy. However the effect of chemotherapeutic drugs on the pHi of tumor cells is largely unknown. Here we using genetically encoded ratiometric pH-sensor SypHer2 were able to monitor pHi in vitro in cell monolayer and tumor spheroids and in vivo in tumor xenografts. In tumor cell monolayer different pHi dynamic was revealed in the dying cell and division-arrested surviving cells. The treatment effect of taxol varied in monolayer and tumor spheroids and pHi changes were able to reflect these difference. The tend to pHi decrease in respect to taxol in vivo matched with results obtained for the cell monolayer. Also in both cases the cell cycle-arrest was the main treatment effect in contrast to tumor spheroid, where the cell death was the primary result. These findings elucidate the significance of pHi in the mechanisms of taxol action on cervical cancer cells and will be valuable for development of new approaches for cancer treatment.
DOI: 10.6084/m9.figshare.15050084
title: Tracing of intracellular pH in cancer cells in response to Taxol treatment

description: Genetically encoded pH-sensors are the promising instrument for intracellular pH (pHi) registration. In tumor tissue the reversed pH gradient is known to be the important hallmark of cancer and regulator of tumor response on chemotherapy. However the effect of chemotherapeutic drugs on the pHi of tumor cells is largely unknown. Here we using genetically encoded ratiometric pH-sensor SypHer2 were able to monitor pHi in vitro in cell monolayer and tumor spheroids and in vivo in tumor xenografts. In tumor cell monolayer different pHi dynamic was revealed in the dying cell and division-arrested surviving cells. The treatment effect of taxol varied in monolayer and tumor spheroids and pHi changes were able to reflect these difference. The tend to pHi decrease in respect to taxol in vivo matched with results obtained for the cell monolayer. Also in both cases the cell cycle-arrest was the main treatment effect in contrast to tumor spheroid, where the cell death was the primary result. These findings elucidate the significance of pHi in the mechanisms of taxol action on cervical cancer cells and will be valuable for development of new approaches for cancer treatment.
DOI: 10.5517/ccdc.csd.cc284yt6
title: CCDC 2090138: Experimental Crystal Structure Determination

description: Related Article: Dipmalya Basak, Lucy Smythe, Radovan Herchel, Mark Murrie, Ivan Nemec, Debashis Ray|2021|Dalton Trans.|50|11861|doi:10.1039/D1DT02038B
DOI: 10.5517/ccdc.csd.cc284yv7
title: CCDC 2090139: Experimental Crystal Structure Determination

description: Related Article: Dipmalya Basak, Lucy Smythe, Radovan Herchel, Mark Murrie, Ivan Nemec, Debashis Ray|2021|Dalton Trans.|50|11861|doi:10.1039/D1DT02038B
DOI: 10.5517/ccdc.csd.cc284yw8
title: CCDC 2090140: Experimental Crystal Structure Determination

description: Related Article: Dipmalya Basak, Lucy Smythe, Radovan Herchel, Mark Murrie, Ivan Nemec, Debashis Ray|2021|Dalton Trans.|50|11861|doi:10.1039/D1DT02038B
DOI: 10.5517/ccdc.csd.cc284yx9
title: CCDC 2090141: Experimental Crystal Structure Determination

description: Related Article: Dipmalya Basak, Lucy Smythe, Radovan Herchel, Mark Murrie, Ivan Nemec, Debashis Ray|2021|Dalton Trans.|50|11861|doi:10.1039/D1DT02038B
DOI: 10.5517/ccdc.csd.cc25bqpy
title: CCDC 2006310: Experimental Crystal Structure Determination

description: Related Article: Khushboo Iman, Md Kausar Raza, Mursaleem Ansari, Monika, Azaj Ansari, Musheer Ahmad, M. Naqi Ahamad, Khalil M. A. Qasem, Sameer Hussain, Muhammad Nadeem Akhtar, M. Shahid|2021|Dalton Trans.|50|11941|doi:10.1039/D1DT00324K
DOI: 10.5517/ccdc.csd.cc25bqnx
title: CCDC 2006309: Experimental Crystal Structure Determination

description: Related Article: Khushboo Iman, Md Kausar Raza, Mursaleem Ansari, Monika, Azaj Ansari, Musheer Ahmad, M. Naqi Ahamad, Khalil M. A. Qasem, Sameer Hussain, Muhammad Nadeem Akhtar, M. Shahid|2021|Dalton Trans.|50|11941|doi:10.1039/D1DT00324K
DOI: 10.5517/ccdc.csd.cc285fhd
title: CCDC 2090593: Experimental Crystal Structure Determination

description: Related Article: Deesha D. Malik, Anirban Chandra, Mi Sook Seo, Yong-Min Lee, Erik R. Farquhar, Stefan Mebs, Holger Dau, Kallol Ray, Wonwoo Nam|2021|Dalton Trans.|50|11889|doi:10.1039/D1DT01996A
DOI: 10.5517/ccdc.csd.cc2860bv
title: CCDC 2091146: Experimental Crystal Structure Determination

description: Related Article: Tania, Tiffany B. Poynder, Aishvaryadeep Kaur, Lachlan Barwise, Sevan D. Houston, Akshay J. Nair, Jack K. Clegg, David J. D. Wilson, Jason L. Dutton|2021|Dalton Trans.|50|11986|doi:10.1039/D1DT02565A
DOI: 10.5517/ccdc.csd.cc286fb8
title: CCDC 2091549: Experimental Crystal Structure Determination

description: Related Article: John R. Tidwell, Jason L. Dutton, Caleb D. Martin|2021|Dalton Trans.|50|11716|doi:10.1039/D1DT02085D
DOI: 10.5517/ccdc.csd.cc286fc9
title: CCDC 2091550: Experimental Crystal Structure Determination

description: Related Article: John R. Tidwell, Jason L. Dutton, Caleb D. Martin|2021|Dalton Trans.|50|11716|doi:10.1039/D1DT02085D