cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/5ecf901df15a5ea1c74d4b41611b3e65
title: Comparison of terrestrial versus aquatic decomposition rates of logs at the Andrews Experimental Forest, 1985 to 2015

description: The data collected from this study describe the decomposition of small logs (20-30 cm diameter, 2 m length) in a stream channel to those on an adjacent upland site at the H. J. Andrews Experimental Forest. The stream is a 3rd order above the junction of Lookout Creek and Mack Creek.  Three species of trees are being examined:  Douglas-fir, western hemlock, and red alder.  Data collection started in 1985 and is scheduled to continue to 2050.  Periodically a subset of logs is resampled to determine changes in volume, bark cover, density, and nutrient stores.   The last set of samples was collected in 2005.  Logs ranging in diameter between 20 and 30 cm of a length of 2 m were cut out of live trees of the three species.  Logs were placed by hand along a skid road at the terrestrial site.  A cable system was used to place log randomly along a stream reach.  The location of logs in the stream is noted when they are sampled.  The length and diameter as well as bark cover of each sampled log is noted at the time of sampling (td01701).  Six cross-sections are removed with a chainsaw.  The thickness of the tissue types is noted (inner bark, outer bark, sapwood, and heartwood) and are described in td01702. Samples of each tissue type are taken to determine their moisture content (water mass/dry mass) and density (dry mass/green volume).  Density is derived from dry mass and volume as determined via dimensional measurements.    Dimensional data, volumes, masses, density, and moisture content are documented in the td01703 table.  The volume of logs and tissue types, the total mass, and proportional mass of the tissue types as well as moisture contents is derived from the data in the other data tables and is stored in the td01704 table.
DOI: 10.5281/zenodo.1326543
title: Screen Of Pr20 Tcr Mimic Antibody Against A Library Of Hla-A*02:01 Mhc-I Peptides

description: Minigene sequencing of T2 cells sorted for high and low binding to the TCR mimic antibody "Pr20."
DOI: 10.5281/zenodo.1326544
title: Screen Of Pr20 Tcr Mimic Antibody Against A Library Of Hla-A*02:01 Mhc-I Peptides

description: Minigene sequencing of T2 cells sorted for high and low binding to the TCR mimic antibody "Pr20."
DOI: 10.5281/zenodo.1433983
title: Evaluation Data Hurtado

description: TRAIN .. EVALUATE TXT
DOI: 10.5281/zenodo.1433984
title: Evaluation Data Hurtado

description: TRAIN .. EVALUATE TXT
DOI: 10.7910/dvn/ti9ors/fhqws9
title: petitions.xlsx
DOI: 10.7910/dvn/yzm1br/j3rakb
title: petitions.xlsx
DOI: 10.5281/zenodo.1313109
title: Screen Of Esk1 Tcr Mimic Antibody Against A Library Of Hla-A*02:01 Mhc-I Peptides

description: Minigene sequencing of T2 cells sorted for high and low binding to the TCR mimic antibody "ESK1."
DOI: 10.5281/zenodo.1313110
title: Screen Of Esk1 Tcr Mimic Antibody Against A Library Of Hla-A*02:01 Mhc-I Peptides

description: Minigene sequencing of T2 cells sorted for high and low binding to the TCR mimic antibody "ESK1."
DOI: 10.5281/zenodo.1341942
title: Screen Of A6 Tcr Against A Library Of Hla-A*02:01 Mhc-I Peptides From The Human Exome

description: T2 cells expressing a library of off targets (derived from A6 and B7 binding motifs in Hausmann 1999) are co-cultured with A6, DMF5 or 1G4 expressing T cells (from a non-A2 donor) and minigenes from surviving cells are amplified.
DOI: 10.5281/zenodo.1341943
title: Screen Of A6 Tcr Against A Library Of Hla-A*02:01 Mhc-I Peptides From The Human Exome

description: T2 cells expressing a library of off targets (derived from A6 and B7 binding motifs in Hausmann 1999) are co-cultured with A6, DMF5 or 1G4 expressing T cells (from a non-A2 donor) and minigenes from surviving cells are amplified.
DOI: 10.5281/zenodo.1342623
title: Screen Of A6 And B7 Tcr Against A Library Of Hla-A*02:01 Mhc-I Peptides From The Human Exome

description: T2 cells expressing a library of off targets (derived from A6 and B7 binding motifs in Hausmann 1999) are co-cultured with A6, B7. DMF5 or 1G4 expressing T cells (from a non-A2 donor) and minigenes from surviving cells are amplified.
DOI: 10.5281/zenodo.1342624
title: Screen Of A6 And B7 Tcr Against A Library Of Hla-A*02:01 Mhc-I Peptides From The Human Exome

description: T2 cells expressing a library of off targets (derived from A6 and B7 binding motifs in Hausmann 1999) are co-cultured with A6, B7. DMF5 or 1G4 expressing T cells (from a non-A2 donor) and minigenes from surviving cells are amplified.
DOI: 10.5281/zenodo.1435932
title: Artificial Software Testing Workload

description: This is a small dataset representing an artificial software testing workload generated from the real one. It consists of instance files, each of which is structured as follows:

<pre><code>[number of test suites]

[test suite uuid] [test suite priority (1&gt;0)] [arrival time (s)]
[number of test cases]
[test case uuid] [test case type]  [test case outcome (0 - pass)] [test case duration (s)]
[test case uuid] [test case type]  [test case outcome (0 - pass)] [test case duration (s)]
(...)

[test suite uuid] [test suite priority (1&gt;0)] [arrival time (s)]
[number of test cases]
[test case uuid] [test case type]  [test case outcome (0 - pass)] [test case duration (s)]
[test case uuid] [test case type]  [test case outcome (0 - pass)] [test case duration (s)]
(...)

(...)</code></pre>
DOI: 10.5281/zenodo.1435935
title: Monthly precipitation in mm at 1 km resolution based on IMERGE 2014-2018

description: Monthly precipitation in mm based on IMERGE 2014-2018 monthly product (ftp://jsimpson.pps.eosdis.nasa.gov/NRTPUB/imerg/gis/ see files e.g. "3B-MO-L.GIS.IMERG.20180601.V05B.tif"). Downscaled to 1 km resolution using gdalwarp (cubic splines) and an average between IMERGE, WorldClim (http://biogeo.ucdavis.edu/data/worldclim/v2.0/) and CHELSA Climate (https://www.wsl.ch/lud/chelsa/data/climatologies/prec/). Antartica is not included.

To access and visualize maps use: <strong>https://landgis.opengeohub.org</strong>

If you discover a bug, artifact or inconsistency in the LandGIS maps, or if you have a question please use some of the following channels:


	Technical issues and questions about the code: https://github.com/Envirometrix/LandGISmaps/issues 
	General questions and comments: https://disqus.com/home/forums/landgis/


All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention:


	clm = theme: climate,
	precipitation = variable: precipitation,
	imerge.oct = determination method: IMERGE long-term average values for October,
	m = mean value,
	1km = spatial resolution / block support: 1 km,
	s0..0cm = vertical reference: land surface,
	2014..2018 = time reference: from 2014 to 2018,
	v0.1 = version number: 0.1,
description: {"references": ["Karger, D. N., Conrad, O., B\u00f6hner, J., Kawohl, T., Kreft, H., Soria-Auza, R. W., ... & Kessler, M. (2017). Climatologies at high resolution for the earth's land surface areas. Scientific data, 4, 170122.", "Huffman, G. J., D. T. Bolvin, D. Braithwaite, K. Hsu, R. Joyce, and P. Xie, (2014). NASA Global Precipitation Measurement (GPM) Integrated Multi-satellitE Retrievals for GPM (IMERG), Algorithm Theoretical Basis Document (ATBD). https://storm- pps.gsfc.nasa.gov/storm/IMERG_ATBD_V4.pdf", "Fick, S. E., & Hijmans, R. J. (2017). WorldClim 2: new 1\u2010km spatial resolution climate surfaces for global land areas. International Journal of Climatology, 37(12), 4302-4315."]}
DOI: 10.7910/dvn/q6mnvy/r0zyn1
title: petitions.xlsx
DOI: 10.17632/j553b5swmp.1
title: Data for: Title: Children’s Help-Seeking Behaviors and Effects of Domain Knowledge in Using Google and Kids.gov: Query Formulation and Result Evaluation Stages

description: These are research instruments that I used for the study not data. Reviewer 1 wanted to see those so I uploaded here.
DOI: 10.7910/dvn/ethhzs/iluhny
title: wuvc_nc_voting_data.tab
DOI: 10.7910/dvn/ethhzs/n5iecy
title: wbwp_fl_distance-functions.R
DOI: 10.7910/dvn/ethhzs/3cw8o4
title: wuvc_nc_balance_data.csv
DOI: 10.7910/dvn/ethhzs/7onbhw
title: fl_grd.pdf
DOI: 10.7910/dvn/ethhzs/8adono
title: wbwp_fl_estimates_v2000.csv
DOI: 10.7910/dvn/ethhzs/dujeo3
title: figure3.R
DOI: 10.7910/dvn/ethhzs/ko8k1z
title: figure6.R
DOI: 10.7910/dvn/ethhzs/prdgjn
title: national_lns_data.csv
DOI: 10.7910/dvn/ethhzs/pry2nw
title: appendixC.R
DOI: 10.7910/dvn/ethhzs/vu28gu
title: national_intermediate_outcomes.pdf
DOI: 10.5281/zenodo.1433943
title: Nonhuman Primate Reaching With Multichannel Sensorimotor Cortex Electrophysiology: Broadband For Indy_20160927_04

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_20160927_04".

<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: 10.7910/dvn/ethhzs/799dlt
title: wuvc_nc_aux_data.csv
DOI: 10.7910/dvn/ethhzs/gzssyi
title: appendixI.R
DOI: 10.7910/dvn/ethhzs/jeegqm
title: appendixE-G.R
DOI: 10.7910/dvn/ethhzs/kkvzca
title: national_ldees_data.csv
DOI: 10.7910/dvn/ethhzs/pl0c7n
title: table1.R
DOI: 10.7910/dvn/ethhzs/pvkotb
title: ReadMe.txt
DOI: 10.7910/dvn/ethhzs/rmeuqv
title: appendixB.R
DOI: 10.7910/dvn/ethhzs/vefsjn
title: wbwp_fl_estimates_v2004.csv
DOI: 10.7910/dvn/ethhzs/wzrh6c
title: national_replication_test.pdf
DOI: 10.7910/dvn/ethhzs/yhgmcw
title: appendixA.R
DOI: 10.17632/82wj7wvjdj.1
title: Data for: Only Domain-Specific Imitation Practice Makes Imitation Perfect

description: In order to identify the component cognitive processes underlying spatial imitation learning, we presented all participants with a pre- and post-practice spatial imitation test. Children that failed to correctly imitate during the pre-test were randomly assigned to one of four groups (3 experimental practice groups and 1 "free play" no practice group). children in the Spatial Imitation group, practiced both jointly attending, vicariously encoding and subsequently copying the observed novel spatial sequences. In the Item Imitation group, children practiced both jointly attending, vicariously encoding and copying a series of observed novel item-based sequences, rather than spatial-based sequences. In the Trial-and-Error group, children practiced encoding and recalling a series of novel spatial sequences entirely through individual (associative) learning. Children in the Free play “no practice” control group, played a touchscreen drawing game that controlled for practice time on the touch-screen and mirrored some of the same actions and responses used in the experimental conditions. Results of the difference between pre- and post-practice effects on novel spatial imitation sequences showed that only the Spatial Imitation practice group significantly improved relative to the Free Play group. Individual Spatial Trial-and-Error practice did not significantly improve spatial imitation. The effect of Item Imitation practice was intermediate. These results are inconsistent with the hypothesis that general processes alone support imitation learning and is more consistent with mosaic models that posit an additive—interaction—effect on imitation performance mediated by both specialized imitation mechanisms, as well as input from less specialized social attention or social learning mechanisms.
DOI: 10.3886/e106347v1
title: Living Costs, Real Incomes and Inequality in Colonial Jamaica

description: Data underlying the paper "Living Costs, Real Incomes and Inequality in Colonial
Jamaica" (Burnard,T., Panza, L. and Williamson, J), Explorations in Economic History, forthcoming
DOI: 10.5281/zenodo.1435592
title: Modular Control Of Human Movement During Running: An Open Access Data Set

description: The human body is an outstandingly complex machine including around 1000 muscles and joints acting synergistically. Yet, the coordination of the enormous amount of degrees of freedom needed for movement is mastered by our one brain and spinal cord. The idea that some synergistic neural components of movement exist was already suggested at the beginning of the XX century. Since then, it has been widely accepted that the central nervous system might simplify the production of movement by avoiding the control of each muscle individually. Instead, it might be controlling muscles in common patterns that have been called muscle synergies. Only with the advent of modern computational methods and hardware it has been possible to numerically extract synergies from electromyography (EMG) signals. However, typical experimental setups do not include a big number of individuals, with common sample sizes of five to 20 participants. With this study, we make publicly available a set of EMG activities recorded during treadmill running from the right lower limb of 135 healthy and young adults (78 males, 57 females). Moreover, we include in this open access data set the code used to extract synergies from EMG data using non-negative matrix factorization and the relative outcomes. Muscle synergies, containing the time-invariant muscle weightings (motor modules) and the time-dependent activation coefficients (motor primitives), were extracted from 13 ipsilateral EMG activities using non-negative matrix factorization. Four synergies were enough to describe as many gait cycle phases during running: weight acceptance, propulsion, early swing and late swing. We foresee many possible applications of our data, that we can summarize in three key points. First, it can be a prime source for broadening the representation of human motor control due to the big sample size. Second, it could serve as a benchmark for scientists from multiple disciplines such as musculoskeletal modelling, robotics, clinical neuroscience, sport science, etc. Third, the data set could be used both to train students or to support established scientists in the perfection of current muscle synergies extraction methods. All the data is available at Zenodo (DOI: 10.5281/zenodo.1254380).
description: This version is the first one including the complete data set.
DOI: 10.7910/dvn/ethhzs/46v0k2
title: wbwp_fl_estimates_v2008.csv
DOI: 10.7910/dvn/ethhzs/dgowsv
title: figure7.R
DOI: 10.7910/dvn/ethhzs/hy6dkn
title: wbwp_fl_voting_data.csv
DOI: 10.7910/dvn/ethhzs/kla7jw
title: national_nsl_data.csv
DOI: 10.7910/dvn/ethhzs/lh0mgo
title: appendixJ.R
DOI: 10.7910/dvn/ethhzs/no4ihk
title: figure5.R
DOI: 10.7910/dvn/ethhzs/xcftue
title: table2.R
DOI: 10.7910/dvn/ethhzs/xuyyyi
title: appendixD.R
DOI: 10.15785/sbgrid/585
title: X-Ray Diffraction data from S. cerevisiae Csm1-Dse3 complex, source of 6DEI structure

description: Single-wavelength dataset for S. cerevisiae Csm1-Dse3 complex
DOI: 10.26300/ck2t-be58
title: Adjudicated/Annotated Telemetry Signals for Medically Important and Clinically Significant Events-1 (ATOMICS-1) Dataset
DOI: 10.7910/dvn/ethhzs
title: Replication Data for: "Tuning In, Not Turning Out: Evaluating the Impact of Ethnic Television on Political Participation"
DOI: 10.7910/dvn/ethhzs/7dxroq
title: wbwp_fl_estimates_v2012.csv
DOI: 10.7910/dvn/ethhzs/hqr9t6
title: wbwp_fl_boundary_points.tab
DOI: 10.7910/dvn/ethhzs/msry7s
title: nc_grd.pdf
DOI: 10.7910/dvn/ethhzs/tnrz9n
title: main_text_replication_code.R
DOI: 10.14459/2018mp1452739
title: Clusters in the Expanse: Understanding and Unbiasing IPv6 Hitlists
DOI: 10.5061/dryad.1f2c124/3
title: Field survey data

description: Estimate density (individuals per square meter) of Trifolium species in 2x2-m field plots at Bodega Marine Reserve, CA, 2015-2016
DOI: 10.5281/zenodo.1433989
title: Nanopore Data For Gecarcoidea Natalis

description: Unsheared DNA was processed using Nanopore LSK108 kit and sequenced on a used MIN-FLO106 flowcell for approximately 16 hours (overnight run). Basecalling used Albacore version 2.3.1.
DOI: 10.5281/zenodo.1433990
title: Nanopore Data For Gecarcoidea Natalis

description: Unsheared DNA was processed using Nanopore LSK108 kit and sequenced on a used MIN-FLO106 flowcell for approximately 16 hours (overnight run). Basecalling used Albacore version 2.3.1.
DOI: 10.5281/zenodo.1435643
title: Gas permeation through single-crystal ZIF-8 membranes

description: Dataset supporting publication: Chen Chen, Aydin Ozcan, A. Ozgur Yazaydin and Bradley P. Ladewig, Gas permeation through single-crystal ZIF-8 membranes, <em>Journal of Membrane Science</em>, https://doi.org/10.1016/j.memsci.2019.01.027

Dataset supporting preprint: Chen, Chen; Ozcan, Aydin; Yazaydin, A. Ozgur; Ladewig, Bradley (2019): Gas Permeation Through Single-Crystal ZIF-8 Membranes. <em>ChemRxiv</em>. Preprint. https://doi.org/10.26434/chemrxiv.7571186.v1
DOI: 10.5281/zenodo.1435644
title: Gas permeation through single-crystal ZIF-8 membranes

description: Dataset supporting publication: Chen Chen, Aydin Ozcan, A. Ozgur Yazaydin and Bradley P. Ladewig, Gas permeation through single-crystal ZIF-8 membranes, <em>Journal of Membrane Science</em>, https://doi.org/10.1016/j.memsci.2019.01.027

Dataset supporting preprint: Chen, Chen; Ozcan, Aydin; Yazaydin, A. Ozgur; Ladewig, Bradley (2019): Gas Permeation Through Single-Crystal ZIF-8 Membranes. <em>ChemRxiv</em>. Preprint. https://doi.org/10.26434/chemrxiv.7571186.v1
DOI: 10.21227/qq4m-er38
title: Sentence embeddings for document sets in DUC 2002 summarization task

description: Our calculated embeddings for the DUC 2002 dataset, as well as the different Central Embeddings
DOI: 10.5281/zenodo.1433998
title: Dataset For "Sources And Sinks Of Carbonyl Sulfide Inferred From Atmospheric Observations At The Lutjewad Tower"

description: Measurements that are used in "Sources and sinks of carbonyl sulfide inferred from atmospheric observations at the Lutjewad tower”. The dataset includes mole fraction measurements of COS, CO<sub>2</sub>, CO and H<sub>2</sub>O made in Lutjewad (the Netherlands) and Hyytälä (Finland) between 2014 and 2018, and measurements of <sup>222</sup>Rn, SF<sub>6</sub> and meteorological parameters in Lutjewad.
DOI: 10.5281/zenodo.1433999
title: Dataset For "Sources And Sinks Of Carbonyl Sulfide Inferred From Atmospheric Observations At The Lutjewad Tower"

description: Measurements that are used in "Sources and sinks of carbonyl sulfide inferred from atmospheric observations at the Lutjewad tower”. The dataset includes mole fraction measurements of COS, CO<sub>2</sub>, CO and H<sub>2</sub>O made in Lutjewad (the Netherlands) and Hyytälä (Finland) between 2014 and 2018, and measurements of <sup>222</sup>Rn, SF<sub>6</sub> and meteorological parameters in Lutjewad.
DOI: 10.17632/64rpxnfjnz.1
title: Data for: Safety culture among Chinese univeristiy students and an exploration on its group discrepancies

description: Data from 362 valid questionnaires were included in this document.Undergraduate safety culture was demonstrated by mean scores of questionnaire items. A five-point Likert scale (1-Disagree, 2-Rarely agree, 3-Somewhat agree, 4-Moderately agree, 5-Totally agree) was used to quantify the measurement of each item.There were 29 items in the safety culture questionnaire. Among these 29 items, 16 items were related to undergraduates’ safety attitude and safety awareness(SA); other 13 items were related to undergraduates’ safety behavior(SB).
DOI: 10.5281/zenodo.1435232
title: Scripts and data attached to colorectal cancer study by Purcell, 2017

description: Scripts and data attached to colorectal cancer study by Purcell, 2017.

Distinct gut microbiome patterns associate with consensus molecular subtypes of colorectal cancer.<br>
Purcell RV, Visnovska M, Biggs PJ,  Schmeier S, Frizelle FA.<br>
Scientific Reports, 2017, doi: 10.1038/s41598-017-11237-6

<br>
Pubmed: https://www.ncbi.nlm.nih.gov/pubmed/28912574
description: {"references": ["Distinct gut microbiome patterns associate with consensus molecular subtypes of colorectal cancer. Purcell RV, Visnovska M, Biggs PJ,  Schmeier S, Frizelle FA. Scientific Reports, 2017, doi: 10.1038/s41598-017-11237-6"]}
DOI: 10.5281/zenodo.1435233
title: Scripts And Data Attached To Colorectal Cancer Study By Purcell, 2017

description: Scripts and data attached to colorectal cancer study by Purcell, 2017.

Distinct gut microbiome patterns associate with consensus molecular subtypes of colorectal cancer.<br>
Purcell RV, Visnovska M, Biggs PJ,  Schmeier S, Frizelle FA.<br>
Scientific Reports, 2017, doi: 10.1038/s41598-017-11237-6

<br>
Pubmed: https://www.ncbi.nlm.nih.gov/pubmed/28912574
description: {"references": ["Distinct gut microbiome patterns associate with consensus molecular subtypes of colorectal cancer. Purcell RV, Visnovska M, Biggs PJ,  Schmeier S, Frizelle FA. Scientific Reports, 2017, doi: 10.1038/s41598-017-11237-6"]}
DOI: 10.17632/wdhp6vm9vc.1
title: Data for: The importance of seismic methods application for geological reconstruction of rockslide threatened open pit

description: raw seismic tomography profiles
DOI: 10.5281/zenodo.1435234
title: Data

description: data
DOI: 10.5281/zenodo.1435235
title: Data

description: data
DOI: 10.17632/kg5dcdt9b6.1
title: Data for: Does deep learning help topic extraction? A kernel k-means clustering method with word embedding

description: The 4770 dataset includes 4770 articles in the Web of Science database, covering 10 disciplines, such as artificial intelligence, business, history, and chemistry. The 577 dataset includes 577 proposals granted by the National Science Foundation of the United States, and all the 577 proposals are within the area of computer science but are in different sub areas of computer science. The 6767 dataset includes 6767 articles published in Journal of the Association for Information Science and Technology, Journal of Informetrics, and Scientometrics from 2000 to 2016. No labels are given for this dataset.