cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1z1dfv
title: CCDC 1818597: Experimental Crystal Structure Determination

description: Related Article: Meng-Cheng Zhang, Dong-Chao Wang, Ming-Sheng Xie, Gui-Rong Qu, Hai-Ming Guo, Shu-Li You|2019|Chem Cell mPress|5|156|doi:10.1016/j.chempr.2018.10.003
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.cc1z1dgw
title: CCDC 1818598: Experimental Crystal Structure Determination

description: Related Article: Meng-Cheng Zhang, Dong-Chao Wang, Ming-Sheng Xie, Gui-Rong Qu, Hai-Ming Guo, Shu-Li You|2019|Chem Cell mPress|5|156|doi:10.1016/j.chempr.2018.10.003
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.cc1z8qml
title: CCDC 1825640: Experimental Crystal Structure Determination

description: Related Article: Jiesheng Li, Yixin Luo, Han Wen Cheo, Yu Lan, Jie Wu|2019|Chem Cell mPress|5|192|doi:10.1016/j.chempr.2018.10.006
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.cc1z8qnm
title: CCDC 1825641: Experimental Crystal Structure Determination

description: Related Article: Jiesheng Li, Yixin Luo, Han Wen Cheo, Yu Lan, Jie Wu|2019|Chem Cell mPress|5|192|doi:10.1016/j.chempr.2018.10.006
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.cc1z8qpn
title: CCDC 1825642: Experimental Crystal Structure Determination

description: Related Article: Jiesheng Li, Yixin Luo, Han Wen Cheo, Yu Lan, Jie Wu|2019|Chem Cell mPress|5|192|doi:10.1016/j.chempr.2018.10.006
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.cc1zwfr1
title: CCDC 1843624: Experimental Crystal Structure Determination

description: Related Article: Yong Ni, María Eugenia Sandoval-Salinas, Takayuki Tanaka, Hoa Phan, Tun Seng Herng, Tullimilli Y. Gopalakrishna, Jun Ding, Atsuhiro Osuka, David Casanova, Jishan Wu|2019|Chem Cell mPress|5|108|doi:10.1016/j.chempr.2018.09.025
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.cc1zx2dc
title: CCDC 1844233: Experimental Crystal Structure Determination

description: Related Article: Yong Ni, María Eugenia Sandoval-Salinas, Takayuki Tanaka, Hoa Phan, Tun Seng Herng, Tullimilli Y. Gopalakrishna, Jun Ding, Atsuhiro Osuka, David Casanova, Jishan Wu|2019|Chem Cell mPress|5|108|doi:10.1016/j.chempr.2018.09.025
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.cc1zx2fd
title: CCDC 1844234: Experimental Crystal Structure Determination

description: Related Article: Yong Ni, María Eugenia Sandoval-Salinas, Takayuki Tanaka, Hoa Phan, Tun Seng Herng, Tullimilli Y. Gopalakrishna, Jun Ding, Atsuhiro Osuka, David Casanova, Jishan Wu|2019|Chem Cell mPress|5|108|doi:10.1016/j.chempr.2018.09.025
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.2532608
title: Assessing workload in emergency medicine.

description: In a nationwide cross-sectional study, German paramedics were asked to evaluate single missions for perceived workload by completing the NASA Task-Load-Index (TLX). A variety of candidate variables were documented and tested for influence on the TLX through multivariate regression analysis. This file contains the underlying data set as a result of the online questionnaire.
DOI: 10.5281/zenodo.2532609
title: Assessing workload in emergency medicine.

description: In a nationwide cross-sectional study, German paramedics were asked to evaluate single missions for perceived workload by completing the NASA Task-Load-Index (TLX). A variety of candidate variables were documented and tested for influence on the TLX through multivariate regression analysis. This file contains the underlying data set as a result of the online questionnaire.
DOI: 10.5281/zenodo.2532613
title: Ontology based text mining of gene-phenotype associations: application to candidate gene prediction

description: Gene-phenotype associations play an important role in understanding<br>
  the disease mechanisms which is a requirement for treatment<br>
  development. A portion of gene-phenotype associations are observed<br>
  mainly experimentally and made publicly available through several<br>
  standard resources such as MGI. However, there is still a vast<br>
  amount of gene--phenotype associations buried in the biomedical<br>
  literature. Given the large amount of literature data, we need<br>
  automated text mining tools to alleviate the burden in manual<br>
  curation of gene-phenotype associations and to develop<br>
  comprehensive resources. We developed an ontology based<br>
  approach in combination with statistical methods to text mine<br>
  gene-phenotype associations from literature. Our method achieved<br>
  AUC values of 0.90 and 0.75 in recovering known gene-phenotype<br>
  associations from HPO and MGI respectively. We posit that candidate<br>
  genes and their relevant diseases should be expressed with similar<br>
  phenotypes in publications. Thus, we demonstrate the utility of our<br>
  approach by predicting disease candidate genes based on the semantic<br>
  similarities of phenotypes associated with genes and diseases. We evaluated our disease candidate prediction model on<br>
  the gene-disease associations from MGI. Our model achieved AUC<br>
  values of 0.90 and 0.87 on OMIM (human) and MGI (mouse) datasets of<br>
  gene-disease associations respectively. Our manual analysis on the<br>
  text mined data revealed that, our method can accurately extract<br>
  gene-phenotype associations which are not currently covered by the<br>
  existing public gene-phenotype resources. Overall, results indicate<br>
  that our method can precisely extract known as well as new<br>
  gene-phenotype associations from literature. This released dataset at Zenodo covers our gene-phenotype extracts from the literature. All the methods used to extract the data are available at https://github.com/bio-ontology-research-group/genepheno.
description: Data format: MGI-gene-ID\tEntrez-mosue-gene-ID_#_Entrez-Human-ID\tPhenotype_ID\tNPMI
DOI: 10.5281/zenodo.2532614
title: Ontology based text mining of gene-phenotype associations: application to candidate gene prediction

description: Gene-phenotype associations play an important role in understanding<br>
  the disease mechanisms which is a requirement for treatment<br>
  development. A portion of gene-phenotype associations are observed<br>
  mainly experimentally and made publicly available through several<br>
  standard resources such as MGI. However, there is still a vast<br>
  amount of gene--phenotype associations buried in the biomedical<br>
  literature. Given the large amount of literature data, we need<br>
  automated text mining tools to alleviate the burden in manual<br>
  curation of gene-phenotype associations and to develop<br>
  comprehensive resources. We developed an ontology based<br>
  approach in combination with statistical methods to text mine<br>
  gene-phenotype associations from literature. Our method achieved<br>
  AUC values of 0.90 and 0.75 in recovering known gene-phenotype<br>
  associations from HPO and MGI respectively. We posit that candidate<br>
  genes and their relevant diseases should be expressed with similar<br>
  phenotypes in publications. Thus, we demonstrate the utility of our<br>
  approach by predicting disease candidate genes based on the semantic<br>
  similarities of phenotypes associated with genes and diseases. We evaluated our disease candidate prediction model on<br>
  the gene-disease associations from MGI. Our model achieved AUC<br>
  values of 0.90 and 0.87 on OMIM (human) and MGI (mouse) datasets of<br>
  gene-disease associations respectively. Our manual analysis on the<br>
  text mined data revealed that, our method can accurately extract<br>
  gene-phenotype associations which are not currently covered by the<br>
  existing public gene-phenotype resources. Overall, results indicate<br>
  that our method can precisely extract known as well as new<br>
  gene-phenotype associations from literature. This released dataset at Zenodo covers our gene-phenotype extracts from the literature. All the methods used to extract the data are available at https://github.com/bio-ontology-research-group/genepheno.
description: Data format: MGI-gene-ID\tEntrez-mosue-gene-ID_#_Entrez-Human-ID\tPhenotype_ID\tNPMI
DOI: 10.5281/zenodo.2532617
title: Workload in non-emergency ambulance missions.

description: We focus on research to analyze paramedics´ workload in the pre-hospital setting. We aimed at identifying factors to have an influence on the workload during non-emergency ambulance missions. Non-emergency missions represent a major part of the daily EMS business.

 We created an online-questionnaire to gather data on a single-mission basis. This is the underlying data set.
DOI: 10.5281/zenodo.2532618
title: Workload in non-emergency ambulance missions.

description: We focus on research to analyze paramedics´ workload in the pre-hospital setting. We aimed at identifying factors to have an influence on the workload during non-emergency ambulance missions. Non-emergency missions represent a major part of the daily EMS business.

 We created an online-questionnaire to gather data on a single-mission basis. This is the underlying data set.
DOI: 10.7910/dvn/bnwmbh
title: Emergency department visits UC Davis Medical Center

description: Dataset with all Emergency Department visits in the Emergency Department from the UC Davis Medical Center in Sacramento, California, USA, 01/01/2009-31/12/2016.
DOI: 10.7910/dvn/eyz5b9
title: Emergency department visits MCH

description: Dataset with all Emergency Department visits in the three locations from the Medical Centre Haaglanden in Den Haag, Netherlands, 01/01/2009-31/12/2016.
DOI: 10.7910/dvn/ri25u7
title: Emergency department visits Princess Marina

description: Princess Marina hospital Gaborone, Emergency Department visit numbers by day, 2014-2016.
DOI: 10.25919/5c31ec5d2a344
title: Parkes observations for project P958 semester 2018OCTS_08

description: A major breakthrough in fast radio burst (FRB) astronomy was recently made when the repeating FRB 121102 was localized to sub-arcsecond precision. The bursts were found to originate in a bright radio nebula (hypothesized to be a young supernova remnant or pulsar wind nebulae) in a distant dwarf galaxy. These dwarf galaxies are also preferential hosts to superluminous supernova and long gamma-ray bursts, and it has been therefore suggested that the source of the repeating FRB could be a young highly magnetised neutron star. While an understanding of the repeating FRB is emerging, it is still unclear what relationship it has to the rest of the population.   Over the last year searches with the Australian Square Kilometre Array Pathfinder (ASKAP) have detected 26 bursts, and over the next six month will likely detect another 12 FRBs, which  will be localized to a few arcseconds.   Here we propose to search this population for repeats.  Our comprehensive sample and a dense monitoring campaign of well localised bursts, at a fluence limit more than 60 times lower than that of their detections, will either confirm the presence of additional repeating FRBs or the uniqueness of FRB 121102 amongst the population.
DOI: 10.5281/zenodo.2532641
title: FA-KES: A Fake News Dataset around the Syrian War

description: We have produced a labeled dataset that presents fake news surrounding the conflict in Syria. The dataset consists of a set of articles/news labeled by 0 (fake) or 1 (credible). Credibility of articles are computed with respect to a ground truth information obtained from the Syrian Violations Documentation Center  (VDC). In particular, for each article, we crowdsource the information extraction (e.g., date, location, Number of casualties) job using the crowdsourcing platform Figure Eight (formally CrowdFlower). Then, we match those articles against the VDC database to be able to deduce whether an article is fake or not. The dataset can be used to train machine learning models to detect fake news.
DOI: 10.5281/zenodo.2532642
title: Dataset for fake news and articles detection

description: We have produced a labeled dataset that presents fake news surrounding the conflict in Syria. The dataset consists of a set of articles/news labeled by 0 (fake) or 1 (credible). Credibility of articles are computed with respect to a ground truth information obtained from the Syrian Violations Documentation Center  (VDC). In particular, for each article, we crowdsource the information extraction (e.g., date, location, Number of casualties) job using the crowdsourcing platform Figure Eight (formally CrowdFlower). Then, we match those articles against the VDC database to be able to deduce whether an article is fake or not. The dataset can be used to train machine learning models to detect fake news.
DOI: 10.5281/zenodo.1209097
title: Thermolysin dataset collected with the helical scheme implemented in HEBI in the ZOO system

description: Thermolysin is used as a standard crystal for evaluation of the automated data collection system ZOO developed at SPring-8 BL32XU.

Both edges of a crystal with size of 30×30×220 µm<sup>3</sup> were automatically defined using 2(width)×15(height) µm<sup>2</sup> beam. 

After dose estimation with KUMA by using the crystal size, other X-ray parameters and data collection parameters, shutter-less helical data collection was applied along the 3D vector consisted by the defined both crystal edges.

The intended absorbed dose for data collection was set to 8 MGy.

The crystals belonged to space group P6<sub>1</sub>22 with unit cell parameters a=b=93.0, c=129.5, alpha,beta=90 gamma=120.

Data was processed up to 1.46 Å resolution in the published result (Hirata et al. accepted) using KAMO.
DOI: 10.5281/zenodo.1209098
title: Thermolysin dataset collected with the helical scheme implemented in HEBI in the ZOO system

description: Thermolysin is used as a standard crystal for evaluation of the automated data collection system ZOO developed at SPring-8 BL32XU.

Both edges of a crystal with size of 30×30×220 µm<sup>3</sup> were automatically defined using 2(width)×15(height) µm<sup>2</sup> beam. 

After dose estimation with KUMA by using the crystal size, other X-ray parameters and data collection parameters, shutter-less helical data collection was applied along the 3D vector consisted by the defined both crystal edges.

The intended absorbed dose for data collection was set to 8 MGy.

The crystals belonged to space group P6<sub>1</sub>22 with unit cell parameters a=b=93.0, c=129.5, alpha,beta=90 gamma=120.

Data was processed up to 1.46 Å resolution in the published result (Hirata et al. accepted) using KAMO.
DOI: 10.5281/zenodo.2532722
title: Gretil quotations html files

description: These are html-tables of  possible quotations/parallel passages within the etexts contained in the gretil-collection.

For the code and description see: https://github.com/sebastian-nehrdich/gretil-quotations

There is a file called 0_index.html which consists of a table of all html-files and their corresponding text names(which have been scraped from the GRETIL-headers and might look not very readable or complete at times).

After unzipping, the files will use about 5.4GB of disk space.
DOI: 10.5281/zenodo.2532723
title: Gretil quotations html files

description: These are html-tables of  possible quotations/parallel passages within the etexts contained in the gretil-collection.

For the code and description see: https://github.com/sebastian-nehrdich/gretil-quotations

There is a file called 0_index.html which consists of a table of all html-files and their corresponding text names(which have been scraped from the GRETIL-headers and might look not very readable or complete at times).

After unzipping, the files will use about 5.4GB of disk space.
DOI: 10.5281/zenodo.1209490
title: Thaumatin data collected with the SSROX scheme implemented in ZOO system

description: Using tetragonal thaumatin crystals, we collected SS-ROX datasets with 1° per frame in 30 Hz using a 10 × 18 μm<sup>2</sup> beam without any attenuation (6.2 × 10<sup>12</sup> photons/frame), absorbed dose was ~8 MGy/frame. Of 23,586 snapshots collected using nine loops, 3,263 snapshots were identified as hits based on the criterion of more than nine spots in the lower resolution range picked by SHIKA. Of these, 2,154 snapshots were indexed and integrated using XDS through kamo.single_images_integration and merged by averaging all observations to 1.4 Å in the Monte-Carlo fashion using kamo.merge_single_integrated_frames. The structure was solved by rigid body refinement using the isomorphous thaumatin structure (PDB code: 1RQW). After a few cycles of manual inspection using Coot and automated refinement with phenix.refine, refinement was converged with R<sub>work</sub> and R<sub>free</sub> values of 0.1906 and 0.2018, respectively. The uploaded file includes datasets collected from nine cryoloops
DOI: 10.5281/zenodo.1209491
title: Thaumatin data collected with the SSROX scheme implemented in ZOO system

description: Using tetragonal thaumatin crystals, we collected SS-ROX datasets with 1° per frame in 30 Hz using a 10 × 18 μm<sup>2</sup> beam without any attenuation (6.2 × 10<sup>12</sup> photons/frame), absorbed dose was ~8 MGy/frame. Of 23,586 snapshots collected using nine loops, 3,263 snapshots were identified as hits based on the criterion of more than nine spots in the lower resolution range picked by SHIKA. Of these, 2,154 snapshots were indexed and integrated using XDS through kamo.single_images_integration and merged by averaging all observations to 1.4 Å in the Monte-Carlo fashion using kamo.merge_single_integrated_frames. The structure was solved by rigid body refinement using the isomorphous thaumatin structure (PDB code: 1RQW). After a few cycles of manual inspection using Coot and automated refinement with phenix.refine, refinement was converged with R<sub>work</sub> and R<sub>free</sub> values of 0.1906 and 0.2018, respectively. The uploaded file includes datasets collected from nine cryoloops
DOI: 10.5281/zenodo.2532232
title: Dataset - results of IBM of an evolving metacommunity

description: Datasets and scripts corresponding to results of the IBM of an evolving metacommunity (https://doi.org/10.5281/zenodo.2280982) as shown in the paper: ''Regional neutrality evolves through local adaptive niche evolution" (www.pnas.org/cgi/doi/10.1073/pnas.1808615116).
DOI: 10.5281/zenodo.2532231
title: Dataset - results of IBM of an evolving metacommunity

description: Datasets and scripts corresponding to results of the IBM of an evolving metacommunity (https://doi.org/10.5281/zenodo.2280982) as shown in the paper: ''Regional neutrality evolves through local adaptive niche evolution" (www.pnas.org/cgi/doi/10.1073/pnas.1808615116).
DOI: 10.14469/hpc/4932
title: 3Br2 + 2,4,6-tributylbenzene in CCl4, WI-II GD3BJ Def2-TZVPP -16149.114535

description: Gaussian Calculation
DOI: 10.5281/zenodo.2394031
title: Ground reaction force metrics are not strongly correlated with tibial bone load when running across speeds and slopes: implications for science, sport and wearable tech

description: An interactive user interface and the raw data from the manuscript titled: "Ground reaction force metrics are not strongly correlated with tibial bone load when running across speeds and slopes: implications for science, sport and wearable tech".
DOI: 10.25919/5c326d29ac0fa
title: Parkes observations for project P971 semester 2018OCTS_02

description: We propose timing observations of the relativistic pulsar - white-dwarf binary PSR J1141-6545. This unique system offers access to a wide range of physics, from relativistic phenomena through pulsar emission cone studies, to the structure and distribution of interstellar plasma along our line-of-sight. The recently installed Parkes Ultra Wide Band Low Frequency (UWL) receiver has opened up the possibility of performing first-ever studies of its orbital dynamics at high temporal resolution and study of the effects of the intra-binary medium on the dispersion and polarisation of the pulse profile. Our analysis of data obtained to date suggests that the pulsar would precess away from our line-of-sight in the next 3-5 years. Hence, regular observations are crucial to maximizing its science outcome
DOI: 10.5281/zenodo.2394032
title: Ground reaction force metrics are not strongly correlated with tibial bone load when running across speeds and slopes: implications for science, sport and wearable tech

description: An interactive user interface and the raw data from the manuscript titled: "Ground reaction force metrics are not strongly correlated with tibial bone load when running across speeds and slopes: implications for science, sport and wearable tech".
DOI: 10.5517/ccdc.csd.cc21dmx0
title: CCDC 1888982: Experimental Crystal Structure Determination

description: Related Article: Hoda Elghamry|2019|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.