cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1413359
title: Identification and Functional Characterization of an Alternative Cancer-derived PD-L1 Isoform (supplemental data)

description: The enclosed files contain all of the supplemental data from: Identification and Functional Characterization of an Alternative Cancer-derived PD-L1 Isoform. The files include the complete tables in CSV-formatted files.
DOI: 10.5281/zenodo.1405047
title: 3D Models From Morales, J. I., Et Al. (2015). "Measuring Retouch Intensity In Lithic Tools: A New Proposal Using 3D Scan Data." Journal Of Archaeological Method And Theory 22(2): 543-558.

description: This document compiles the complete set of 3D models used for the experimental work of the paper:

Morales, J. I., et al. (2015). "Measuring Retouch Intensity in Lithic Tools: A New Proposal Using 3D Scan Data." Journal of Archaeological Method and Theory 22(2): 543-558.<br>
 <br>
It includes 3D scans from both unmodified and modified flakes (X & Xb). All the flakes produced in this experiment were produced by freehand hard hammer percussion and no specific flaking method was followed. Diferents types of tertiary evaporitic flint described in Soto, M., et al. (2017). "The chert abundance ratio (CAR): a new parameter for interpreting Palaeolithic raw material procurement." J. Archaeol Anthropol Sci. (https://doi.org/10.1007/s12520-017-0516-3) were used.
DOI: 10.5281/zenodo.1411883
title: Nonhuman Primate Reaching With Multichannel Sensorimotor Cortex Electrophysiology: Broadband For Indy_20161017_02

description: This dataset supplements https://doi.org/10.5281/zenodo.583331 .<br>
<br>
<strong>General description.</strong> These data consist of extracellular neural recordings ("broadband") from primate subject "Indy", session identifier "indy_20161017_02".

<strong>Filtering. </strong>The data are sampled at 24414.0625 Hz and are unfiltered, except for an anti-aliasing filter built-in to the recording amplifier: a 4th order low-pass with a roll-off of 24 dB per octave at 7.5 kHz, operating at the sampling rate.

<strong>File format.</strong> The data are contained in an HDF5 formatted file, organized according to the Neurodata Without Borders (NWB) version 1.0.6 specification.

<strong>Datasets. </strong>A few of the relevant dataset paths are listed here for convenience. In the below, <em>n</em> refers to the number of recording channels and <em>k</em> refers to the number of samples.


	"/acquisition/timeseries/broadband/data" - k x n
	
		The broadband neural recordings.
	
	
	"/acquisition/timeseries/broadband/data/conversion" (scalar attribute)
	
		When multiplied by each sample converts the data into units of volts.
	
	
	"/acquisition/timeseries/broadband/timestamps" - k x 1
	
		Timestamps for each sample, seconds.
	
	
	"/general/extracellular_ephys/electrode_map" - n x 3
	
		The relative coordinates of each electrode contact (x, y, z), meters.
	
	


Please refer to the master dataset for further information.
description: This research was supported by the Congressionally Directed Medical Research Program (W81XWH-14-1-0510). JEO was supported by fellowship #2978 from the Paralyzed Veterans of America. JGM was supported by a fellowship from the Swartz Foundation.
DOI: 10.5281/zenodo.1412400
title: Diffraction Contrast Tomography Reconstruction Of An Aluminium-Lithium Tension Specimen

description: This data set is the reconstruction of the polycrystalline microstructure of a small tension specimen made of Aluminium-Lithium alloy. The specimen is approximately 0.5 mm in cross section. The data is the result of 3 DCT scans merged together. The spatial resolution is 1.4 micrometer. The data was acquired at the ID11 beamline at The European Synchrotron Radiation Facility and reconstructed using the DCT software available at https://sourceforge.net/projects/dct/

The data is provided in HDF5 format, compatible with open source packages such as Paraview and DREAM3D. The laboratory coordinate system XYZ corresponds to the sample position when all the diffractometer rotations are zero.
DOI: 10.5281/zenodo.1412401
title: Diffraction Contrast Tomography Reconstruction Of An Aluminium-Lithium Tension Specimen

description: This data set is the reconstruction of the polycrystalline microstructure of a small tension specimen made of Aluminium-Lithium alloy. The specimen is approximately 0.5 mm in cross section. The data is the result of 3 DCT scans merged together. The spatial resolution is 1.4 micrometer. The data was acquired at the ID11 beamline at The European Synchrotron Radiation Facility and reconstructed using the DCT software available at https://sourceforge.net/projects/dct/

The data is provided in HDF5 format, compatible with open source packages such as Paraview and DREAM3D. The laboratory coordinate system XYZ corresponds to the sample position when all the diffractometer rotations are zero.
DOI: 10.3886/e101769v1-8121
title: OFCCP Compliance Evaluation and Complaint Investigation Data

description: The dataset consists of closed compliance evaluations and complaint investigations, conducted by the OFCCP, for the last five fiscal years. This data provides information on the OFCCP's efforts to enforce the EEO-mandated laws and regulations within the Federal Contractor Community (those companies which have been provided government contracts).<br><br>Dataset tables listing: OFCCP Data Dictionary, OFCCP Metadata, OFCCP Compliance Evaluation and OFCCP Complaint Investigation.
description: computer-assisted personal interview (CAPI)~~face-to-face interview~~
description: Smallest Geographic Unit: zipcode
DOI: 10.3886/e101769v1-8122
title: OFCCP Compliance Evaluation and Complaint Investigation Data

description: The dataset consists of closed compliance evaluations and complaint investigations, conducted by the OFCCP, for the last five fiscal years. This data provides information on the OFCCP's efforts to enforce the EEO-mandated laws and regulations within the Federal Contractor Community (those companies which have been provided government contracts).<br><br>Dataset tables listing: OFCCP Data Dictionary, OFCCP Metadata, OFCCP Compliance Evaluation and OFCCP Complaint Investigation.
description: computer-assisted personal interview (CAPI)~~face-to-face interview~~
description: Smallest Geographic Unit: zipcode
DOI: 10.3886/e101769v1-8124
title: OFCCP Compliance Evaluation and Complaint Investigation Data

description: The dataset consists of closed compliance evaluations and complaint investigations, conducted by the OFCCP, for the last five fiscal years. This data provides information on the OFCCP's efforts to enforce the EEO-mandated laws and regulations within the Federal Contractor Community (those companies which have been provided government contracts).<br><br>Dataset tables listing: OFCCP Data Dictionary, OFCCP Metadata, OFCCP Compliance Evaluation and OFCCP Complaint Investigation.
description: computer-assisted personal interview (CAPI)~~face-to-face interview~~
description: Smallest Geographic Unit: zipcode
DOI: 10.5255/ukda-sn-7187-3
title: Badger-Bovine Tuberculosis Controversy: Expertise and Experience in Animal Disease Research, 2008-2011
DOI: 10.5281/zenodo.1412628
title: Repository For Jupiter Equatorial Zone Disturbance Data

description: Antuñano et al. (2018) used Jupiter infrared data captured by 8 different ground-based instruments mounted on the Infrared Telescope Facility (IRTF) on Maunakea and Very Large Telescope (VLT) in Paranal between 1984 and 2017, to investigate a pattern of cloud clearance events at Jupiter's equatorial zone at 5 µm.This repository contains (i) cylindrical maps of Jupiter's 5-µm images from 1999-2000 and 2006-2007 captured by NSFCam and NSFCam2 instruments, respectively, mounted on the IRTF, showing Jupiter's Equatorial Zone disturbance, and (ii) a data file showing the brightness scans from ±7° latitude as a function of time used to build Figure 2.

DATA

As descibed in Antuñano et al. (2018), the normalised average brightness from 1984-2017 was used to charcterise three different cloud clearance events of Jupiter's equatorial zone at 5 µm. The normalised average brightness of the equatorial zone between ±7° latitude is given in "Brightness_scans_1984-2017.dat", where the first column represents the Julian date, the second column represents the latitude in planetocentric degrees, the third column represents the normalised average brightness and the fourth column gives the standard deviation of the normalised average brightness.
DOI: 10.5281/zenodo.1412629
title: Repository For Jupiter Equatorial Zone Disturbance Data

description: Antuñano et al. (2018) used Jupiter infrared data captured by 8 different ground-based instruments mounted on the Infrared Telescope Facility (IRTF) on Maunakea and Very Large Telescope (VLT) in Paranal between 1984 and 2017, to investigate a pattern of cloud clearance events at Jupiter's equatorial zone at 5 µm.This repository contains (i) cylindrical maps of Jupiter's 5-µm images from 1999-2000 and 2006-2007 captured by NSFCam and NSFCam2 instruments, respectively, mounted on the IRTF, showing Jupiter's Equatorial Zone disturbance, and (ii) a data file showing the brightness scans from ±7° latitude as a function of time used to build Figure 2.

DATA

As descibed in Antuñano et al. (2018), the normalised average brightness from 1984-2017 was used to charcterise three different cloud clearance events of Jupiter's equatorial zone at 5 µm. The normalised average brightness of the equatorial zone between ±7° latitude is given in "Brightness_scans_1984-2017.dat", where the first column represents the Julian date, the second column represents the latitude in planetocentric degrees, the third column represents the normalised average brightness and the fourth column gives the standard deviation of the normalised average brightness.
DOI: 10.18112/openneuro.ds001506.v1.1.0
title: Deep Image Reconstruction
DOI: 10.3886/e101769v1-8123
title: OFCCP Compliance Evaluation and Complaint Investigation Data

description: The dataset consists of closed compliance evaluations and complaint investigations, conducted by the OFCCP, for the last five fiscal years. This data provides information on the OFCCP's efforts to enforce the EEO-mandated laws and regulations within the Federal Contractor Community (those companies which have been provided government contracts).<br><br>Dataset tables listing: OFCCP Data Dictionary, OFCCP Metadata, OFCCP Compliance Evaluation and OFCCP Complaint Investigation.
description: computer-assisted personal interview (CAPI)~~face-to-face interview~~
description: Smallest Geographic Unit: zipcode
DOI: 10.17909/t9-xjrf-7g34
title: Probabilistic Classifications of Unresolved Point Sources in PanSTARRS1 ("PS1-PSC")

description: Using a machine learning model, Tachibana & Miller 2018 classified ~1.5 billion sources from the PanSTARRS1 (PS1) data release 1 as either resolved, extended objects or unresolved, point sources. This PS1 point source catalog (PS1-PSC) provides a probabilistic ranking of all sources with a score of 0 corresponding to extended objects and 1 corresponding to point sources. The classifications are based on morphological properties measured in the PS1 stack images, though not every source in PS1 has a classification (see the known caveats). It has been demonstrated that this method does a far better job of selecting stars and galaxies than a single hard cut on the difference between the PSF and Kron magnitudes (see Figure to the right). A full description of the catalog is described in Tachibana & Miller 2018.  Data are available as direct download or via MAST CasJobs.
DOI: 10.3886/e105583v1-8182
title: Apparent Per Capita Alcohol Consumption: National, State, and Regional Trends 1977-2016

description: This data set contains the per capita (persons aged 14+) consumption of ethanol (in gallons) for each state and Washington D.C. for the years 1977-2016. This includes total ethanol consumed as well as consumption by three categories: beer, wine, and spirits. The PDF includes a method to convert the data into different units such as number of beers, glasses of wine, and shots of spirit.<br><br>This data comes from a report by Sarah P. Haughwout and Dr. Megan E. Slater at the National Institute on Alcohol Abuse and Alcoholism. That report is one of the files available to download and is included as it explains the methodology the two authors used for the data.  <br><br>I am not affiliated with the report at all. The only work that I did was to take the PDF and scrape the data from Table 4 (Per capita ethanol consumption for States, census regions, and the United States, 1977-2016) into R and save it in various formats for easy use. For the code uses to clean and read the data, and the tests to ensure my code is accurate, please see my GitHub file here: https://github.com/jacobkap/alcohol<br><br>I downloaded the PDF from here: https://pubs.niaaa.nih.gov/publications/surveillance110/CONS16.htm
description: Smallest Geographic Unit: State, Region, Country
DOI: 10.3886/e104642v2-8162
title: 2016 Annual Survey of Refugees

description: Since the 1980s, the Office of Refugee Resettlement
(ORR) has conducted the Annual Survey of Refugees (ASR), which collects
information on refugees during their first five years after arrival in the
U.S.  The ASR is the only scientifically-collected
source of national data on refugees’ progress toward self-sufficiency and
integration. ORR uses the ASR results
alongside other information sources to fulfill its Congressionally-mandated
reporting following the Refugee Act of 1980. 
Historically, the microdata from these surveys have generally been
unavailable to researchers.


In the Spring of 2017 ORR completed its 50th Annual Survey of Refugees (ASR). The data from the
ASR offer a window into respondents’ first five years in the United States and
shows the progress that refugee families made towards learning English,
participating in the workforce, and establishing permanent residence. This public use data deposit is only for the 2016 ASR with future years likely to be added to the ICPSR archive..

The Office of Refugee Resettlement (ORR)
at the Administration for Children and Families in the U.S. Department of
Health and Human Services (HHS) serves refugees and other humanitarian
entrants, including asylees, Cuban and Haitian entrants, Special Immigrant Visa
holders, Amerasians, victims of human trafficking, and unaccompanied children.
By providing these arrived populations with critical resources, ORR promotes
their economic and social well-being. The Annual Survey of Refugees focuses
solely on those refugees who have come to the U.S. in the past five fiscal
years.
description: Household- and person-level analytic weights
were developed for the 2016 ASR to allow for valid statistical estimates of the
target refugee population.  Both sets of
weights are comprised of two components – a base weight reflecting the selection
probability and an adjustment that corrects for differential nonresponse and
aligns the population to known totals from the sampling frame (RADS universe
file).
description: Response Rates: An overall response rate of 24 percent was achieved.   The response rate was driven by the ability
to locate and speak to (1500+468)/6176 = 32 percent of the sample, meaning that two thirds of the sample could
either not be located, or (if located) could 

not be
successfully contacted. 

 

The overall response rates decreased with time since arrival to the
U.S., varying from 20 percent for FY 2011-2012 refugees to 25 percent for FY
2013-2014 refugees and a high of 31 percent for FY 2015 refugees.
description: telephone interview~~
description: Refugees aged 16 years old or over at the time of interview who arrived
in the U.S. during FY 2011-2015 Smallest Geographic Unit: Census region originally resettled in and the country of  birth
description: The 2016 ASR employed a stratified probability sample design
of refugees.  The first stage of
selection was the household (PA), and the second stage was the selection of
persons within households.
DOI: 10.17632/gmd97wvns5.1
title: Data for: The Development and Content Validation of a Self-Reported Instrument to Explore the Nurse’s Role in Healthcare Transition Planning for Youth and Young Adults with Chronic Illness and/or Disability (NR-HCTP)

description: CVI and kappa values
DOI: 10.18112/openneuro.ds001506.v1.0.0
title: Deep Image Reconstruction
DOI: 10.3886/e104642v2-8141
title: 2016 Annual Survey of Refugees

description: Since the 1980s,
the Office of Refugee Resettlement[1]
(ORR) has conducted the Annual Survey of Refugees (ASR), which collects
information on refugees during their first five years after arrival in the
U.S.  The ASR is the only scientifically-collected
source of national data on refugees’ progress toward self-sufficiency and
integration. ORR uses the ASR results
alongside other information sources to fulfill its Congressionally-mandated
reporting following the Refugee Act of 1980. 
Historically, the microdata from these surveys have generally been
unavailable to researchers.

 <br>

<br>In the Spring of
2017 ORR completed its 50th Annual Survey of Refugees (ASR). The data from the
ASR offer a window into respondents’ first five years in the United States and
shows the progress that refugee families made towards learning English,
participating in the workforce, and establishing permanent residence. This public use data deposit is only for the 2016 ASR with future years likely to be added to the ICPSR archive..

<br>







[1] The Office of Refugee Resettlement (ORR)
at the Administration for Children and Families in the U.S. Department of
Health and Human Services (HHS) serves refugees and other humanitarian
entrants, including asylees, Cuban and Haitian entrants, Special Immigrant Visa
holders, Amerasians, victims of human trafficking, and unaccompanied children.
By providing these arrived populations with critical resources, ORR promotes
their economic and social well-being. The Annual Survey of Refugees focuses
solely on those refugees who have come to the U.S. in the past five fiscal
years.
description: Household- and person-level analytic weights
were developed for the 2016 ASR to allow for valid statistical estimates of the
target refugee population.  Both sets of
weights are comprised of two components – a base weight reflecting the selection
probability and an adjustment that corrects for differential nonresponse and
aligns the population to known totals from the sampling frame (RADS universe
file).
description: Response Rates: An overall response rate of 24 percent was achieved.   The response rate was driven by the ability
to locate and speak to (1500+468)/6176 = 32 percent of the sample, meaning that two thirds of the sample could
either not be located, or (if located) could 

not be
successfully contacted. 

 

The overall response rates decreased with time since arrival to the
U.S., varying from 20 percent for FY 2011-2012 refugees to 25 percent for FY
2013-2014 refugees and a high of 31 percent for FY 2015 refugees.
description: telephone interview~~
description: Refugees aged 16 years old or over at the time of interview who arrived
in the U.S. during FY 2011-2015 Smallest Geographic Unit: Census region originally resettled in and the country of  birth
description: The 2016 ASR employed a stratified probability sample design
of refugees.  The first stage of
selection was the household (PA), and the second stage was the selection of
persons within households.
DOI: 10.5281/zenodo.1414293
title: Sdzg-Ftb Cambodia Specialised Questioning Techniques Dataset

description: A dataset collected by the San Diego Zoo Global (SDZG) and Free the Bears (FTB) team, containing data from three sites: Stung Treng, the Cardamom Mountains, and Phnom Penh. The data consists of demographic variables and specialised questioning techniques (SQTs), as well as direct questioning. SQTs used are: randomized response technique (RRT), unmatched count technique (UCT), nominative technique (NT), and a false consensus bias (FCB) measure.
DOI: 10.5281/zenodo.1414294
title: Sdzg-Ftb Cambodia Specialised Questioning Techniques Dataset

description: A dataset collected by the San Diego Zoo Global (SDZG) and Free the Bears (FTB) team, containing data from three sites: Stung Treng, the Cardamom Mountains, and Phnom Penh. The data consists of demographic variables and specialised questioning techniques (SQTs), as well as direct questioning. SQTs used are: randomized response technique (RRT), unmatched count technique (UCT), nominative technique (NT), and a false consensus bias (FCB) measure.
DOI: 10.17632/7t4hzsvyr5.1
title: Data for: Rapid detection of milk vetch dwarf virus by loop-mediated isothermal amplification(LAMP)

description: Figure captions Fig. 1. Optimization of the LAMP assay. F1a: The effect of the MgCl2 concentrations on the LAMP reaction at 63°C. Lanes 1–8 correspond to the 2, 3, 4, 5, 6, 7, 8 and 9 mM MgSO4 concentrations. F1b: The effect of the dNTPs on the LAMP reaction using 8 mM MgSO4. Lanes 1–7 correspond to the 0.8, 1.0, 1.2, 1.4, 1.6, 1.8 and 2.0 mM dNTP concentrations. F1c: The effect of temperature on the LAMP reaction using 8 mM MgSO4 and 1.6 mM dNTPs. Lanes 1–6 corresponsd to the temperatures of 60°C, 61°C, 62°C, 63°C, 64°C and 65°C. F1d: The effect of reaction time on the LAMP assay using 8 mM MgSO4 and 1.6 mM dNTPs at 65°C. Lanes 1–6 correspond to 15, 30, 45, 60, 75 and 90 min. M: DNA marker DL2000. Fig. 2. The effect of the ratio of the FIP and BIP primers to the F3 and B3 primers on the LAMP assay using 8 mM MgSO4 and 1.6 mM dNTPs at 65°C. Lanes 1–11 correspond to 1:1-11:1. M: DNA marker DL2000. Fig. 3. Test of the specificity of LAMP. Lane M, DNA marker DL2000; lane 1, healthy tobacco leaves; lane 2, MDV-infected tobacco leaves; lane 3, TYLCV-infected tobacco leaves; lane 4, TbCSV-infected tobacco leaves; lane 5, TbLCV-infected tobacco leaves; and lane 6, positive control. Fig. 4. Comparison of the relative sensitivities of LAMP and PCR for MDV detection. F4a: lane 1, distilled water; lanes 2-8, DNA concentrations of 100, 10, 1, 0.1, 0.01, 0.001 and 0.0001 ng. F4b: lane 1, distilled water; lanes 2-8, DNA concentrations of 100, 10, 1, 0.1, 0.01, 0.001 and 0.0001 ng. Lane 9, positive control. M: DNA marker DL2000. Fig. 5. The detection of natural viral infection in selected field-grown tobacco samples using LAMP. F5a: lane 1, distilled water; lanes 2-12 tobacco samples showing MDV or virus-like symptoms; lane 13: positive control. F5b: Visual inspection of the MDV LAMP products. All products in the reaction tubes were stained with SYBR Green I. A positive reaction appeared green and a negative reaction appeared orange in daylight. F5c: A positive reaction was indicated by green fluorescence and a negative reaction was indicated by fluorescence under a UV lamp. The number of F5b and F5c is consistent with F5a. M: DNA marker DL2000.
DOI: 10.5255/ukda-sn-7187-4
title: Badger-Bovine Tuberculosis Controversy: Expertise and Experience in Animal Disease Research, 2008-2011
DOI: 10.5281/zenodo.1412816
title: Screening Compounds Against Usp5 Zf-Ubd With A 19F Nmr Assay #2

description: Screening compounds against USP5 zinc finger ubiquitin binding domain (Zf-UBD) using a <sup>19</sup>F NMR spectroscopy. You can find previous <sup>19</sup>F NMR experiments here.
description: Funding Acknowledgment: The SGC is a registered charity (number 1097737) that receives funds from AbbVie, Bayer Pharma AG, Boehringer Ingelheim, Canada Foundation for Innovation, Eshelman Institute for Innovation, Genome Canada through Ontario Genomics Institute [OGI-055], Innovative Medicines Initiative (EU/EFPIA) [ULTRA-DD grant no. 115766], Janssen, Merck KGaA, Darmstadt, Germany, MSD, Novartis Pharma AG, Ontario Ministry of Research, Innovation and Science (MRIS), Pfizer, São Paulo Research Foundation-FAPESP, Takeda, and Wellcome.