cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.2599375
title: NanoVar Simulation Datasets

description: The data stored here were used for benchmarking long-read structural variant (SV) callers in the publication: Tham, CY., Tirado-Magallanes, R., Goh, Y. <em>et al.</em> NanoVar: accurate characterization of patients’ genomic structural variants using low-depth nanopore sequencing. <em>Genome Biol</em> <strong>21, </strong>56 (2020). https://doi.org/10.1186/s13059-020-01968-7 The data consist of six simulated SV genomes generated using various open source tools and comprise also of simulated long-read FASTA files and ground truth SV information. More information can be found in the README.md.
description: {"references": ["Bartenhagen, C. & Dugas, M. RSVSim: an R/Bioconductor package for the simulation of structural variations. Bioinformatics 29, 1679\u20131681 (2013).", "Yang, C., Chu, J., Warren, R. L. & Birol, I. NanoSim: nanopore sequence read simulator based on statistical characterization. Gigascience 6, 1\u20136 (2017)."]}
DOI: 10.5281/zenodo.2599376
title: NanoVar Simulation Datasets

description: The data stored here were used for benchmarking long-read structural variant (SV) callers in the bioRxiv preprint of "NanoVar: Accurate Characterization of Patients' Genomic Structural Variants Using Low-Depth Nanopore Sequencing" by Tham et al. The data consist of three simulation datasets generated using various open source tools and comprise of simulated SV genomes, simulated long-read FASTA files, and ground truth SV information. More information can be found in the README.md.
description: {"references": ["Bartenhagen, C. & Dugas, M. RSVSim: an R/Bioconductor package for the simulation of structural variations. Bioinformatics 29, 1679\u20131681 (2013).", "Yang, C., Chu, J., Warren, R. L. & Birol, I. NanoSim: nanopore sequence read simulator based on statistical characterization. Gigascience 6, 1\u20136 (2017)."]}
DOI: 10.5281/zenodo.2644019
title: FluView 2018 HHS Region 1 Outpatient Illness and Viral Surveillance Data - Epidemiological Week 40 (archived by MIDAS-ISG)

description: <strong>Other(s)</strong>

MIDAS Informatics Service Group

<strong>Rights holder(s)</strong>

Centers for Disease Control and Prevention

Description from the FluView Interactive web application (from which this file was downloaded):

Viral Surveillance — Data collection from both the U.S. World Health Organization (WHO) Collaborating Laboratories and National Respiratory and Enteric Virus Surveillance System (NREVSS) laboratories began during the 1997-98 season. The volume of tested specimens has greatly increased during this time due to increased participation and increased testing. During the 1997-98 season 43 state public health laboratories participated in surveillance, and by the 2004-05 season all state public health laboratories were participating in surveillance. The addition of NREVSS data during the 1997-98 season roughly doubled the amount of virologic data reported each week. 

The number of specimens tested and % positive rate vary by region and season based on different testing practices including triaging of specimens by the reporting labs, therefore it is not appropriate to compare the magnitude of positivity rates or the number of positive specimens between regions or seasons. 

The U.S. WHO and NREVSS collaborating laboratories report the total number of respiratory specimens tested and the number positive for influenza types A and B each week to CDC. Most of the U.S. WHO collaborating laboratories also report the influenza A subtype (H1 or H3) of the viruses they have isolated, but the majority of NREVSS laboratories do not report the influenza A subtype. 

For more information on virologic surveillance please visit:http://www.cdc.gov/flu/weekly/overview.htm#Viral

Outpatient Illness Surveillance — Information on patient visits to health care providers for influenza-like illness is collected through the U.S. Outpatient Influenza-like Illness Surveillance Network (ILINet). This collaborative effort between CDC, state and local health departments, and health care providers started during the 1997-98 influenza season when approximately 250 providers were enrolled. Enrollment in the system has increased over time and there were &gt;3,000 providers enrolled during the 2010-11 season.

The number and percent of patients presenting with ILI each week will vary by region and season due to many factors, including having different provider type mixes (children present with higher rates of ILI than adults, and therefore regions with a higher percentage of pediatric practices will have higher numbers of cases). Therefore it is not appropriate to compare the magnitude of the percent of visits due to ILI between regions and seasons.

Baseline levels are calculated both nationally and for each region. Percentages at or above the baseline level are considered to be elevated.

For more information on ILI surveillance and baselines please visit:http://www.cdc.gov/flu/weekly/overview.htm#Outpatient
DOI: 10.5281/zenodo.2644020
title: FluView 2018 HHS Region 1 Outpatient Illness and Viral Surveillance Data - Epidemiological Week 40 (archived by MIDAS-ISG)

description: <strong>Other(s)</strong>

MIDAS Informatics Service Group

<strong>Rights holder(s)</strong>

Centers for Disease Control and Prevention

Description from the FluView Interactive web application (from which this file was downloaded):

Viral Surveillance — Data collection from both the U.S. World Health Organization (WHO) Collaborating Laboratories and National Respiratory and Enteric Virus Surveillance System (NREVSS) laboratories began during the 1997-98 season. The volume of tested specimens has greatly increased during this time due to increased participation and increased testing. During the 1997-98 season 43 state public health laboratories participated in surveillance, and by the 2004-05 season all state public health laboratories were participating in surveillance. The addition of NREVSS data during the 1997-98 season roughly doubled the amount of virologic data reported each week. 

The number of specimens tested and % positive rate vary by region and season based on different testing practices including triaging of specimens by the reporting labs, therefore it is not appropriate to compare the magnitude of positivity rates or the number of positive specimens between regions or seasons. 

The U.S. WHO and NREVSS collaborating laboratories report the total number of respiratory specimens tested and the number positive for influenza types A and B each week to CDC. Most of the U.S. WHO collaborating laboratories also report the influenza A subtype (H1 or H3) of the viruses they have isolated, but the majority of NREVSS laboratories do not report the influenza A subtype. 

For more information on virologic surveillance please visit:http://www.cdc.gov/flu/weekly/overview.htm#Viral

Outpatient Illness Surveillance — Information on patient visits to health care providers for influenza-like illness is collected through the U.S. Outpatient Influenza-like Illness Surveillance Network (ILINet). This collaborative effort between CDC, state and local health departments, and health care providers started during the 1997-98 influenza season when approximately 250 providers were enrolled. Enrollment in the system has increased over time and there were &gt;3,000 providers enrolled during the 2010-11 season.

The number and percent of patients presenting with ILI each week will vary by region and season due to many factors, including having different provider type mixes (children present with higher rates of ILI than adults, and therefore regions with a higher percentage of pediatric practices will have higher numbers of cases). Therefore it is not appropriate to compare the magnitude of the percent of visits due to ILI between regions and seasons.

Baseline levels are calculated both nationally and for each region. Percentages at or above the baseline level are considered to be elevated.

For more information on ILI surveillance and baselines please visit:http://www.cdc.gov/flu/weekly/overview.htm#Outpatient
DOI: 10.5281/zenodo.2643482
title: Photometric catalogs of 20 nearby galaxies covered by SPIRITS

description: 3.6, 4.5, 5.8 and 8.0 micron point-spread function photometric catalogs for the following 20 galaxies covered by SPIRITS (Spitzer InfraRed Intensive Transients Survey) -

Fornax, Leo I, NGC6822, NGC185, NGC147, M32, IC1613, M110, WLM, IC342, M81, M83, NGC6946, M101, M106, M51, NGC6744, M63, NGC2903, M104

For each galaxy, we performed psf photometry on  archival Spitzer/IRAC 3.6 (ch1), 4.5 (ch2), 5.8 (ch3) and 8.0 (ch4) micron images (available at the Spitzer Heritage Archive). Each datafile presented here is a catalog containing the coordinates, magnitudes and uncertainties in magnitudes of all sources detected in the 20 galaxies for a particular IRAC filter.

Descriptions of columns in each datafile:

Column 1 : Right Ascension of the source (degrees)

Column 2 : Declination of the source (degrees)

Column 3 : PSF magnitude of the source for the IRAC filter corresponding to the datafile. (mags)

Column 4 : Uncertainty in PSF magnitude of the source (mags)

Column 5 : x coordinate of the source in the image (pixels)

Column 6 : y coordinate of the source in the image (pixels)

Column 7 : PGC Name of the host galaxy of the source
DOI: 10.5281/zenodo.2643483
title: Photometric catalogs of 20 nearby galaxies covered by SPIRITS

description: 3.6, 4.5, 5.8 and 8.0 micron point-spread function photometric catalogs for the following 20 galaxies covered by SPIRITS (Spitzer InfraRed Intensive Transients Survey) -

Fornax, Leo I, NGC6822, NGC185, NGC147, M32, IC1613, M110, WLM, IC342, M81, M83, NGC6946, M101, M106, M51, NGC6744, M63, NGC2903, M104

For each galaxy, we performed psf photometry on  archival Spitzer/IRAC 3.6 (ch1), 4.5 (ch2), 5.8 (ch3) and 8.0 (ch4) micron images (available at the Spitzer Heritage Archive). Each datafile presented here is a catalog containing the coordinates, magnitudes and uncertainties in magnitudes of all sources detected in the 20 galaxies for a particular IRAC filter.

Descriptions of columns in each datafile:

Column 1 : Right Ascension of the source (degrees)

Column 2 : Declination of the source (degrees)

Column 3 : PSF magnitude of the source for the IRAC filter corresponding to the datafile. (mags)

Column 4 : Uncertainty in PSF magnitude of the source (mags)

Column 5 : x coordinate of the source in the image (pixels)

Column 6 : y coordinate of the source in the image (pixels)

Column 7 : PGC Name of the host galaxy of the source
DOI: 10.25919/5cb74732b85af
title: Parkes observations for project P860 semester 2018OCTS_10

description: This is a request for observing time for the initial follow-up of pulsar discoveries from the low-latitude Galactic plane section of the HTRU survey (P630). We are in the final stages of our first pass processing with our periodicity search algorithm, and have already discovered 106 previously unknown pulsars. We expect that processing should be complete within the 2018OCTS semester. Extrapolation and population synthesis shows that the Galactic plane survey should result in a further 5 discoveries.

Interesting science can usually only be derived from a new pulsar after confirmation and a follow-up timing campaign is carried out. One year of initial timing is the minimum timespan required to fully characterise any newly-discovered pulsars, essential for deriving pulsar parameters such as the characteristic age, magnetic ?eld strength, spin-down rate, as well as to detect any unexpected behaviour of the pulsar which might result from emission instabilities.

This follow-up timing project is necessary for identifying any interesting pulsar systems discovered from the HTRU Galactic plane survey. Since all of the pulsars on the observing list here are being followed-up for the first time, they will produce completely new and exciting results. In addition, this timing project will enable a large-scale examination of the Galactic plane pulsar population, exploring the true boundaries of pulsar parameter space. Given the large number of discoveries expected and the long integration length required, this dedicated follow-up timing campaign is vital for achieving our science goals.
DOI: 10.5281/zenodo.2639758
title: X-ray dataset for "Illumination improvements for high-resolution ptychography"

description: We provide X-ray ptychography datasets used for publication "Illumination improvements for high-resolution ptychography"

The provided datasets are stored in Matlab MAT files and they contain:<br>
  measured_intensities    uint16        - photon counts measured by a 2D hybrid-pixel detector in every scanning position    <br>
  probe_positions            double       - relative probe position already converted to units of the real-space pixel shift<br>
  detector_mask              logical        - mask which is true for good pixel and false for ignored (bad or missing) pixels<br>
  initial_probe                  complex double - initial estimate of the reconstruction probe

The pixel size for the FCC_particle datasets is 27.43nm and for the siemens_star datasets it is 9.97x14.16nm
DOI: 10.5519/qd.npnud1fq
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2865 records)
DOI: 10.14455/nrct.img.2019.321
title: Anesthesia Innovation: Mini-Review of an Intravenous Sedation for Gastrointestinal Endoscopy
DOI: 10.14455/nrct.img.2019.322
title: Role of an Anesthesiologist in Smoking Patients Undergoing Endoscopic Procedures
DOI: 10.14455/nrct.img.2019.323
title: Propofol-Based Deep Sedation for Percutaneous Radiofrequency Ablation in Sick Elderly Patients with Hepatocellular Carcinoma in a Developing Country
DOI: 10.14455/nrct.img.2019.324
title: Anesthesia for esophageal dilation procedure in a World Gastroenterology Organizing Endoscopy Training Center
DOI: 10.14455/nrct.img.2019.325
title: Anesthesia for elderly patients
DOI: 10.14455/nrct.img.2019.326
title: Monitoring equipment for gastrointestinal endoscopy
DOI: 10.6073/pasta/39f95049f44e5f623614f8aa5afca966
title: Zooplankton community composition and trait data for Green Lake 4, 2012 to ongoing

description: Starting in 2012 zooplankton sampling at Green Lake 4 was included in
  the long term monitoring data set at Niwot Ridge.

      
  Immediately after the ice has completely melted from the lakes,
  zooplankton samples are taken once a week for six consecutive weeks at
  the deepest portion of the lake from an inflatable raft. Zooplankton
  were sampled at the deepest location of each lake by pulling a conical
  net (Wisconsin net) vertically through the water column (i.e.,
  vertical tow sample). For each zooplankton sample obtained, adult
  organisms were identified to species, or lowest taxonomic level
  (Chydoridae sp. and Bosminidae sp.). Larvae of cladocerans were
  counted together as neonates; calanoid and cyclopoid copepodites were
  counted together as nauplii. Individual body lengths of the first 50
  -100 (when possible) individuals of each taxon were recorded using a
  calibrated eyepiece micrometer and means reported.
DOI: 10.5517/ccdc.csd.cc1qbbjx
title: CCDC 1588859: Experimental Crystal Structure Determination

description: Related Article: Mohammad Zafar, Ramalakshmi Rongala, Alaka Nanda Pradhan, Kriti Pathak, Thierry Roisnel, Jean-François Halet, Sundargopal Ghosh|2019|Dalton Trans.|48|7413|doi:10.1039/C9DT00498J
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.cc20v456
title: CCDC 1872157: Experimental Crystal Structure Determination

description: Related Article: Bharti Mohan, Mukesh Choudhary, Sulakshna Bharti, Achintya Jana, Neeladri Das, Shabbir Muhammad, Abdullah G. Al-Sehemi, Santosh Kumar|2019|J.Mol.Struct.|1190|54|doi:10.1016/j.molstruc.2019.04.059
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.cc20v467
title: CCDC 1872158: Experimental Crystal Structure Determination

description: Related Article: Bharti Mohan, Mukesh Choudhary, Sulakshna Bharti, Achintya Jana, Neeladri Das, Shabbir Muhammad, Abdullah G. Al-Sehemi, Santosh Kumar|2019|J.Mol.Struct.|1190|54|doi:10.1016/j.molstruc.2019.04.059
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.cc20v478
title: CCDC 1872159: Experimental Crystal Structure Determination

description: Related Article: Bharti Mohan, Mukesh Choudhary, Sulakshna Bharti, Achintya Jana, Neeladri Das, Shabbir Muhammad, Abdullah G. Al-Sehemi, Santosh Kumar|2019|J.Mol.Struct.|1190|54|doi:10.1016/j.molstruc.2019.04.059
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.cc20x2yz
title: CCDC 1874041: Experimental Crystal Structure Determination

description: Related Article: Halil Gökce, Gökhan Alpaslan, Can Alaşalvar|2019|J.Coord.Chem.|72|1075|doi:10.1080/00958972.2019.1590708
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.cc2123r0
title: CCDC 1878871: Experimental Crystal Structure Determination

description: Related Article: Huifen Pan, Yafei Li, Yalan Wang, Yu Ge, Shengwang Xia, Yahong Li|2019|Polyhedron|166|210|doi:10.1016/j.poly.2019.03.054
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.cc2123s1
title: CCDC 1878872: Experimental Crystal Structure Determination

description: Related Article: Huifen Pan, Yafei Li, Yalan Wang, Yu Ge, Shengwang Xia, Yahong Li|2019|Polyhedron|166|210|doi:10.1016/j.poly.2019.03.054
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.cc2123t2
title: CCDC 1878873: Experimental Crystal Structure Determination

description: Related Article: Huifen Pan, Yafei Li, Yalan Wang, Yu Ge, Shengwang Xia, Yahong Li|2019|Polyhedron|166|210|doi:10.1016/j.poly.2019.03.054
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: 10.14469/hpc/5539
title: Imaging vibrational normal modes of a single molecule.
DOI: 10.5061/dryad.3gm4500/1
title: Fig 1

description: Floral morphotypes of common buckwheat (Fagopyrum esculentum) and method of sampling for 2D-PAGE analysis. (A) Pin flower has long styles and low anthers (left panel); thrum flower has short styles and high anthers (right panel). (B) Sampling for 2D-PAGE. The stigmas and styles separated from ovules were collected
DOI: 10.5517/ccdc.csd.cc1zzzyw
title: CCDC 1847040: Experimental Crystal Structure Determination

description: Related Article: Nandita Biswas, Kalicharan Das, Bitan Sardar, Dipankar Srimani|2019|Dalton Trans.|48|6501|doi:10.1039/C8DT04725A
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.cc20mj6d
title: CCDC 1865803: Experimental Crystal Structure Determination

description: Related Article: Nandita Biswas, Kalicharan Das, Bitan Sardar, Dipankar Srimani|2019|Dalton Trans.|48|6501|doi:10.1039/C8DT04725A
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.cc214hc2
title: CCDC 1881153: Experimental Crystal Structure Determination

description: Related Article: Xiaoyu Di, Yidong Wang, Lizuo Wu, Zhan-Ming Zhang, Qiang Dai, Wenbo Li, Junliang Zhang|2019|Org.Lett.|21|3018|doi:10.1021/acs.orglett.9b00537
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: 10.18430/m36jgh
title: X-ray diffraction data for the crystal structure of the F99S/M153T/V163A/T203I variant of GFP at 0.94 A (6JGH)
DOI: 10.18430/m36jgi
title: X-ray diffraction data for the crystal structure of the S65T/F99S/M153T/V163A variant of GFP at 0.85 A (6JGI)
DOI: 10.18430/m36od8
title: X-ray diffraction data for the crystal structure of a putative aspartyl-tRNA synthetase from Leishmania major Friedlin (6OD8)
DOI: 10.18430/m36oe6
title: X-ray diffraction data for the structure of a Uncharacterized protein from Leptospira interrogans serogroup Icterohaemorrhagiae serovar Copenhageni (strain Fiocruz L1-130) (6OE6)
DOI: 10.18430/m36oew
title: X-ray diffraction data for the structure of a Cytidylyltransferase from Leptospira borgpetersenii serovar Hardjo-bovis (strain JB197) (6OEW)
DOI: 10.5517/ccdc.csd.cc2185vc
title: CCDC 1884702: Experimental Crystal Structure Determination

description: Related Article: Xinglong Zhou, Sebastian Lars Müller, Peter Leonard, Constantin Daniliuc, Yingying Chai, Simone Budow-Busse, Frank Seela|2019|J.Mol.Struct.|1190|37|doi:10.1016/j.molstruc.2019.04.056
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.