cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.2601901
title: Bayesian Time-Resolved Spectra of GRB Pulses

description: Spectral analysis results of 38 gamma-ray burst pulses for two empirical models: the cutoff powerlaw (CPL) and the Band function (BAND). Standard FITS file format. Bayesian inference done by the astrophysical data analysis software 3ML.
DOI: 10.25919/5c9382ad19fbc
title: Parkes observations for project P995 semester 2018OCTS_20

description: We propose to perform observations of the very young pulsar PSR B0540–69 in the Large Magellanic Cloud to detect pulsed flux from this traditionally radio-quiet source.  We are motivated to do so due to a relatively recent X-ray observation of a 36% change in its spin down rate, thought to be due to a state change in its magnetospheric processes.  There is reason to believe this may be accompanied by an increase in pulsed flux, as has been seen in intermittent pulsar behaviour, for example.  Additionally, PSR B0540–69 is known to emit giant pulses, one of only a small number of pulsars to do so.  With the new Ultra Wideband Low-frequency (UWL) receiver system, we will be able to conduct the highest sensitivity observations of this source yet achieved at radio wavelengths.  A successful detection of pulsed flux will provide important insight into the magnetospheric evolution and behaviour in this pulsar, and a better understanding of how its glitch behaviour may influence its emission.  Even without such a detection, we will be able to study the giant pulse behaviour of PSR B0540–69 with unprecedented sensitivity.
DOI: 10.5525/gla.researchdata.754
title: A Phylogenetic Gaussian process model for the evolution of curves embedded in d-dimensions

description: These files are associated with the paper 'A phylogenetic Gaussian process model for the evolution of curves embedded in d-dimensions' published in the journal Computational Statistics and Data Analysis.
The doi of the paper is https://doi.org/10.1016/j.csda.2019.03.002

Each of the two files contains an animation which displays the posterior means 
for the reconstruction at ancestral nodes D and E, displayed with the means of
the original data.  The files provide animated forms of Fig. 6 of the paper.
The animations are in mp4 format.  This can be read by a wide variety of display
tools.
DOI: 10.5061/dryad.0cb693v/1
title: Preadult viability data

description: Sheet 1. Means by Line and Temperature for the three populations, Sheet 2. Means by replicate, Sheet 3. Variance components, Sheet 4. Phenotypic plasticity
DOI: 10.5281/zenodo.2587037
title: Files for "Ocellaris: a discontinuous Galerkin finite element solver for two-phase flows with high density differences"

description: Input files and scripts sufficient to reproduce the results shown in the paper "Ocellaris: a discontinuous Galerkin finite element solver for high density ratio two phase flows".

A version of Ocellaris similar to version 2019.0.1 was used and all results should be reproducible by this version of Ocellaris. See the Ocellaris source code repository, Ocellaris 2019.0.1 on PyPi, or DOI 10.5281/zenodo.2558303.

The Ocellaris user guide can be found at www.ocellaris.org and it includes guides to how to run Ocellaris in Singularity or Docker containers for ease of installation and testing. Containers for Ocellaris 2019.0.0 are available, for Docker run:

<pre><code class="language-bash"># On the host machine:
docker run -it trlandet/fenics-dev:2018.1.0.r3

# Inside the Docker container
pip3 install ocellaris==2019.0.1 --user
</code></pre>
DOI: 10.5281/zenodo.2587038
title: Files for "Ocellaris: a discontinuous Galerkin finite element solver for two-phase flows with high density differences"

description: Input files and scripts sufficient to reproduce the results shown in the paper "Ocellaris: a discontinuous Galerkin finite element solver for high density ratio two phase flows".

A version of Ocellaris similar to version 2019.0.1 was used and all results should be reproducible by this version of Ocellaris. See the Ocellaris source code repository, Ocellaris 2019.0.1 on PyPi, or DOI 10.5281/zenodo.2558303.

The Ocellaris user guide can be found at www.ocellaris.org and it includes guides to how to run Ocellaris in Singularity or Docker containers for ease of installation and testing. Containers for Ocellaris 2019.0.0 are available, for Docker run:

<pre><code class="language-bash"># On the host machine:
docker run -it trlandet/fenics-dev:2018.1.0.r3

# Inside the Docker container
pip3 install ocellaris==2019.0.1 --user
</code></pre>
DOI: 10.3886/icpsr37237.v1
title: Midlife in the United States: Core Sample Mortality Data, 2016
title: Version 1

description: In 1995-1996, the MacArthur Midlife Research Network carried out a national survey of over 7,000 Americans aged 25 to 74 [ICPSR 2760]. The purpose of the study was to investigate the role of behavioral, psychological, and social factors in understanding age-related differences in physical and mental health. With support from the National Institute on Aging, an initial follow-up of the original Midlife Development in the United States (MIDUS) samples was conducted in 2004 (MIDUS 2). The daily stress and cognitive functioning projects were repeated at MIDUS 2; in addition the protocol was expanded to include biomarkers and neuroscience. In 2005, a baseline sample of 592 African Americans from Milwaukee was added to MIDUS to examine health issues in minority populations. In 2013 a third wave (MIDUS 3) of survey data was collected on longitudinal participants. Data collection for this follow-up wave largely repeated baseline assessments (e.g., phone interview and extensive self-administered questionnaire), with additional questions in selected areas (e.g., economic recession experiences, optimism and coping, stressful life events, and caregiving). A third wave of cognitive functioning data and a second wave of the Milwaukee sample were also collected. Data collection for the daily diary, biomarkers, and neuroscience is ongoing. This dataset includes all known MIDUS decedents (N=1,511) from the Core National and Milwaukee samples as of December 2016.
description: The primary purpose of this study was to obtain information about the underlying cause of death for Midlife in the United States (MIDUS) and Milwaukee decedents.
description: The data set contains 10 variables and 1,511 cases. The variables include decedent status, source of decedent information, month and year of death, and International Classification of Diseases (ICD) codes. The demographic variable, gender, is also included.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes..
description: Datasets: DS1: Dataset
description: Midlife in the United States (MIDUS) Series
description: record abstracts
description: All decedent participants of the MIDUS series. Smallest Geographic Unit: None
description: 1511 prior participants in the MIDUS series with a confirmed decedent status.
DOI: 10.25345/c51c91
title: MassIVE MSV000083609 - Sequoia sempervirens strigolactone 032119
title: redwood seedlings extracted for strigolactone content in mycorrhiza and non mycorrhiza plants
DOI: 10.5066/f7df6q34
title: Data Supporting a Framework to Incorporate Established Conservation Networks into Freshwater Conservation Planning

description: This data set provides the results of a conservation prioritization analysis for wadeable streams in Missouri, USA. Higher values (Maximum of 1) represent higher conservation value. Conservation values were derived using Zonation conservation planning software which used species distribution models, a prioritization algorithm (either Core-Area or Additive Benefit), species weighting (None, Vulnerability, or Listing Status), connecitivity (Yes or No), and masks representing different conservation networks (None, Priority Watersheds, Conservation Opportunity Areas, and Existing Conservation Network). For more information see "An Assessment of Stream Fish Vulnerability and an Evaluation of Conservation Networks in Missouri" by Nicholas Sievert, 2014, University of Missouri-Columbia, Thesis.
DOI: 10.5281/zenodo.2601957
title: SS_15 INITIAL_CONFIG

description: Initial configuration. Single stranded overhang in invading strand. length = 25 bp.
DOI: 10.5281/zenodo.2601958
title: SS_15 INITIAL_CONFIG

description: Initial configuration. Single stranded overhang in invading strand. length = 25 bp.
DOI: 10.5281/zenodo.2601855
title: DS_15_1 STRAND_DISPL

description: Strand displacement. Double stranded overhang in invading strand, length = 15 bp. Second three days simulations.
DOI: 10.5281/zenodo.2601856
title: DS_15_1 STRAND_DISPL

description: Strand displacement. Double stranded overhang in invading strand, length = 15 bp. Second three days simulations.
DOI: 10.17632/9d8z2b6xkd.1
title: Data for: Relative motion orthosis enables an improved early return to function: A randomized clinical trial

description: Data from Randomized Clinical Trial for Extensor Tendon Zone V and VI Repairs, comparing a Relative Motion Orthosis with a Controlled Active Motion protocol.
DOI: 10.5281/zenodo.2601953
title: SS_35_1 STRAND_DISPL

description: Strand displacement. Single stranded overhang in invading strand, length = 35 bp. Second three days of simulations.
DOI: 10.5281/zenodo.2601954
title: SS_35_1 STRAND_DISPL

description: Strand displacement. Single stranded overhang in invading strand, length = 35 bp. Second three days of simulations.
DOI: 10.5281/zenodo.2601244
title: SS_15 _1 STRAND_DISPL

description: Strand displacement. Single stranded overhang in invading strand, length = 15 bp. Second three day simulation.
DOI: 10.5281/zenodo.2601245
title: SS_15 _1 STRAND_DISPL

description: Strand displacement. Single stranded overhang in invading strand, length = 15 bp. Second three day simulation.
DOI: 10.5281/zenodo.2601920
title: SS_25_1 STRAND_DISPL

description: Strand displacement. Single stranded overhang in invading strand, length = 25 bp. Second three days simulations
DOI: 10.5281/zenodo.2601921
title: SS_25_1 STRAND_DISPL

description: Strand displacement. Single stranded overhang in invading strand, length = 25 bp. Second three days simulations
DOI: 10.5281/zenodo.2601938
title: SS_30_1 STRAND_DISPL

description: Strand displacement. Single stranded overhang in invading strand, length = 30 bp. Second three days simulations.
DOI: 10.5281/zenodo.2601939
title: SS_30_1 STRAND_DISPL

description: Strand displacement. Single stranded overhang in invading strand, length = 30 bp. Second three days simulations.
DOI: 10.5281/zenodo.2601853
title: DS_15 STRAND_DISPL

description: Strand displacement. Double stranded overhang in invading strand, length = 15 bp. First three days of simulations.
DOI: 10.5281/zenodo.2601854
title: DS_15 STRAND_DISPL

description: Strand displacement. Double stranded overhang in invading strand, length = 15 bp. First three days of simulations.
DOI: 10.5281/zenodo.2601913
title: SS_25 STRAND_DISPL

description: Strand displacement. Single stranded overhang in invading strand, length = 25 bp. First three days of simulations.
DOI: 10.5281/zenodo.2601914
title: SS_25 STRAND_DISPL

description: Strand displacement. Single stranded overhang in invading strand, length = 25 bp. First three days of simulations.
DOI: 10.5281/zenodo.2601922
title: SS_30 STRAND_DISPL

description: Strand displacement. Single stranded overhang in invading strand, length = 30 bp. First three days simulations.
DOI: 10.5281/zenodo.2601923
title: SS_30 STRAND_DISPL

description: Strand displacement. Single stranded overhang in invading strand, length = 30 bp. First three days simulations.
DOI: 10.5281/zenodo.2601797
title: DS_25_1 STRAND_DISPL

description: Strand displacement. Double stranded overhang in invading strand, length = 25 bp. First 3 days of simulations.
DOI: 10.5281/zenodo.2601843
title: DS_30_1 STRAND_DISPL

description: Strand displacement. Double stranded overhang in invading strand, length = 30 bp. Second three days simulations
DOI: 10.5281/zenodo.2601844
title: DS_30_1 STRAND_DISPL

description: Strand displacement. Double stranded overhang in invading strand, length = 30 bp. Second three days simulations
DOI: 10.5281/zenodo.2601897
title: Repulsion Plane

description: Repulsion Planes testing
DOI: 10.5281/zenodo.2601898
title: Repulsion Plane

description: Repulsion Planes testing
DOI: 10.5281/zenodo.2601796
title: DS_25_1 STRAND_DISPL

description: Strand displacement. Double stranded overhang in invading strand, length = 25 bp. First 3 days of simulations.
DOI: 10.5281/zenodo.2601811
title: DS_20_1 STRAND_DISPL

description: Strand displacement. Double stranded overhang in invading strand, length = 20 bp. Second three days of simulations.
DOI: 10.5281/zenodo.2601847
title: DS_35 STRAND_DISPL

description: Strand displacement. Double stranded overhang in invading strand, length = 35 bp. First three days simulations.
DOI: 10.5281/zenodo.2601848
title: DS_35 STRAND_DISPL

description: Strand displacement. Double stranded overhang in invading strand, length = 35 bp. First three days simulations.
DOI: 10.5281/zenodo.2601849
title: DS_35_1 STRAND_DISPL

description: Strand displacement. Double stranded overhang in invading strand, length = 35 bp. Second three days simulations.
DOI: 10.5281/zenodo.2601850
title: DS_35_1 STRAND_DISPL

description: Strand displacement. Double stranded overhang in invading strand, length = 35 bp. Second three days simulations.
DOI: 10.5063/f1c827kw
title: Measurements of transient seedbanks mediated by shrub effects in the Mojave and San Joaquin Deserts

description: The biodiversity of annual plants in deserts are stored in seedbank waiting on precipitation events. Previous research has examined how shrubs interfere with seed flow in deserts, however, less examined are the indirect effects on seedbank densities. Shrubs facilitate plant densities within their canopy that can inhibit seed movement or that can produce greater seed rain. Herein, we chose two distinct desert ecosystems and established plots in shrub and open microsites to test how shrubs can facilitate seedbank densities. We included treatments that manipulated annual plant cover and persistent seedbank densities over two years (2013 and 2014). Four treatments were established in shrub and open microsites at three neighbouring sites at each of these deserts. No experiment was set up in Mojave Desert in 2014 because of extreme drought for that area. Ten replicates were used.
DOI: 10.5281/zenodo.2601810
title: DS_20_1 STRAND_DISPL

description: Strand displacement. Double stranded overhang in invading strand, length = 20 bp. Second three days of simulations.
DOI: 10.5281/zenodo.2601831
title: DS_30 STRAND_DISPL

description: Strand displacement. Double stranded overhang in invading strand, length = 30 bp. First three days simulations.
DOI: 10.5281/zenodo.2601904
title: TRAPS

description: Harmonic Traps testing
DOI: 10.5281/zenodo.2601905
title: TRAPS

description: Harmonic Traps testing
DOI: 10.5281/zenodo.2601830
title: DS_30 STRAND_DISPL

description: Strand displacement. Double stranded overhang in invading strand, length = 30 bp. First three days simulations.
DOI: 10.6073/pasta/080ab114bb054380b6109cf47a2e5e7b
title: Fish tag data remotely detected using whole stream antennas or hand held tag readers in the Kuparuk, Itkilik, and Sagavanirktok drainages near Toolik Field Station, Alaska, from 2010 to 2017.

description: From 2009 to 2017, the FISHSCAPE Project (PLR 1719267, 1417754, and 0902153), based at Toolik Field Station, has monitored physical, chemical, and biological parameters within three watersheds: The Kuparuk (including Toolik Lake and Toolik outlet stream); The Sagavanirktok (primarily Oksrukuyik Creek, but also including sections of the Ailish and Atigun Rivers and the Galbraith Lakes); and The Itkillik (primarily the I-Minus outlet stream, a tributary that that feeds into the Itkilik River). Target species were primarily Arctic grayling and Lake trout, although Arctic char, Burbot, Dolly varden, round whitefish, and slimey sculpin were also captured. This file contains the detections HDX fish tags using whole stream or hand-held antennas in the three watersheds. We had no field season in 2014 and thus did not deploy antennaes. Fish were tagged with HDX pit tags which can be read with a whole stream antenna to track the migration of the fish, predominately Arctic grayling, throughout the systems. Fish tags detected with a handheld readers are designated in Site ID as "XXX_capture". For "capture" fish time is arbitraily set at '7:00:00'' of the day of capture and tagging because actual time was not recorded. The individual fish data (date, tag number, length, weight, species) associated with the tag can be found in the 2009-2017_FISHSCAPE_fish_tagging file.
DOI: 10.6073/pasta/9859e824293e51e007957624a6757de9
title: Fish tagging data (length, weight, tag number) from the the Kuparuk, the Sagavanirktok (primarily Oksrukuyik Creek) and the Itkillik (primarily the I-Minus outlet stream) watersheds,  2009 - 2017.

description: Since 2009, the FISHSCAPE  Project (PLR  1719267, 1417754, and 0902153), based at Toolik Field Station, has monitored physical, chemical, and biological parameters within three watersheds: The Kuparuk (including Toolik Lake and Toolik outlet stream); The Sagavanirktok (primarily Oksrukuyik Creek, but also including sections of the Ailish and Atigun Rivers and the Galbraith Lakes);  and The Itkillik (primarily the I-Minus outlet stream, a tributary that that feeds into the Itkilik River).  Target species were primarily Arctic grayling and Lake trout, although Arctic char, Burbot, Dolly varden, round whitefish, and slimey sculpin were also captured.
Fish were collected on each river/lake. GPS coordinates and/or specific station locations were noted. All fish captured during the field season are measured, weighed, tagged  (if large enough) and released. If fish were not previously tagged, they were tagged with HDX pit tags which  can be read with a whole stream antenna to track the migration of the fish, predminately Arctic grayling, throughout the systems.
DOI: 10.5063/f17h1gwm
title: Measurements of transient seedbanks mediated by shrub effects in the Mojave and San Joaquin Deserts

description: The biodiversity of annual plants in deserts are stored in seedbank waiting on precipitation events. Previous research has examined how shrubs interfere with seed flow in deserts, however, less examined are the indirect effects on seedbank densities. Shrubs facilitate plant densities within their canopy that can inhibit seed movement or that can produce greater seed rain. Herein, we chose two distinct desert ecosystems and established plots in shrub and open microsites to test how shrubs can facilitate seedbank densities. We included treatments that manipulated annual plant cover and persistent seedbank densities over two years (2013 and 2014). Four treatments were established in shrub and open microsites at three neighbouring sites at each of these deserts. No experiment was set up in Mojave Desert in 2014 because of extreme drought for that area. Ten replicates were used.
DOI: 10.5281/zenodo.2601978
title: Supporting model output for 'Empirical stream thermal sensitivities may underestimate stream temperature response to climate warming'.

description: Model output used to generate figures in the manuscript 'Empirical stream thermal sensitivities may underestimate stream temperature response to climate warming'.
DOI: 10.5281/zenodo.2601979
title: Supporting model output for 'Empirical stream thermal sensitivities may underestimate stream temperature response to climate warming'.

description: Model output used to generate figures in the manuscript 'Empirical stream thermal sensitivities may underestimate stream temperature response to climate warming'.
DOI: 10.6073/pasta/6c8538547b1cb927e1b3b358e5d172e6
title: Year 2018, PIE LTER wind sensor data, 15 minute intervals, from the Ipswich Bay Yacht Club pier located in Ipswich, MA

description: Wind sensor measurements (wind speed and  wind direction) for 2018 at the Ipswich Bay Yacht Club, Ipswich, MA, 15 minute average measurements.
DOI: 10.5281/zenodo.2600929
title: SS_15 STRAND_DISPL

description: Strand displacement. Single stranded in overhang of invading strand, length = 15 bp. First three days of simulations.
DOI: 10.5281/zenodo.2600930
title: SS_15 STRAND_DISPL

description: Strand displacement. Single stranded in overhang of invading strand, length = 15 bp. First three days of simulations.
DOI: 10.5281/zenodo.2601745
title: DS_25 STRAND_DISPL

description: Strand displacement. Double stranded overhang in invading strand, length = 25 bp.
DOI: 10.5281/zenodo.2601746
title: DS_25 STRAND_DISPL

description: Strand displacement. Double stranded overhang in invading strand, length = 25 bp.
DOI: 10.5281/zenodo.2600498
title: SS_25 INITIAL_CONFIG

description: Initial configuration. Single stranded overhang in invading strand, length = 25 bp
DOI: 10.5281/zenodo.2600499
title: SS_25 INITIAL_CONFIG

description: Initial configuration. Single stranded overhang in invading strand, length = 25 bp
DOI: 10.5281/zenodo.2600514
title: SS_30 INITIAL_CONFIG

description: Initial configuration. Single stranded overhang in invading strand, length = 30 bp
DOI: 10.5281/zenodo.2600515
title: SS_30 INITIAL_CONFIG

description: Initial configuration. Single stranded overhang in invading strand, length = 30 bp
DOI: 10.5281/zenodo.2600518
title: SS_35 INITIAL_CONFIG

description: Initial configuration. Single stranded overhang in invading strand, length = 35 bp
DOI: 10.5281/zenodo.2600519
title: SS_35 INITIAL_CONFIG

description: Initial configuration. Single stranded overhang in invading strand, length = 35 bp
DOI: 10.17632/f4twnw8gy5.1
title: Data for: The NMDA receptor antagonist MK-801 fails to impair long-term recognition memory in mice when the state-dependency of memory is controlled

description: Chan et al. DATA FILE. Contains the relevant data for each animal analyses in the paper.
DOI: 10.5281/zenodo.2601818
title: The effect of particle board industry waste tar on the physical and biological durability of wood

description: This manuscript investigated the effect of waste tar from particle board factories on some physical and biological resistance properties of Scots pine (<em>Pinus sylvestris </em>L.) and beech (<em>Fagus orientalis </em>L.) woods. Solutions were prepared by dissolving waste tar in ethanol:toluene (1v:1v) in concentrations of 5%, 10%, 15% and 20% and treated under vacuum and pressure. In addition, surface coating (SC) was applied by spreading 96% waste tar on the wood surfaces after treatment. Deep-treated and surface-coated (DT+SC) wood samples were exposed to the wood-decay fungi (<em>Corillous versicolor</em> L. and <em>Neolentinus lepideus</em> Fr.) and wood destroying house borer (<em>Hylotrupes bajulus </em>L.) larvaes. Total phenolic content, water uptake, water-repellent efficiency and surface contact angle were tested. The highest mean weight loss (45.23%) was found in the beech wood control samples exposed to <em>C. versicolor</em>. Beech samples deep-treated with a 20% concentration and surface treatment (DT+SC) yielded a mass loss of 14.03%. The <em>H. bajulus</em> larvae mortality rate was found to be 80% in the Scots pine wood samples deep-treated with 20% waste tar. The deep treatment with the waste tar solution significantly increased the surface contact angle values of the Scots pine wood, thereby significantly reducing the wettability of the wood compared to the untreated control samples.