cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5b33s
title: MassIVE MSV000083880 - Real time health monitoring through urine analysis
title: Raw data for "Real time health monitoring through urine analysis: A preliminary observational study" submitted to NPJ Digital Medicine.
DOI: 10.25919/5cf2d70c63806
title: Parkes observations for project P456 semester 2019APRS_29

description: The Parkes Pulsar Timing Array (PPTA) project has three primary goals: (a) detection of gravitational waves from astronomical sources, (b) establishment of a pulsar timescale, and (c) improvement of our understanding of Solar-system dynamics. The PPTA is the oldest of three international pulsar timing groups. We have the smallest telescope and the smallest group, but the best measurements and the best results. Our bound on the strength of the incoherent gravitational wave background is the only bound which significantly constrains theoretical models. We have maintained our leading position because: we have the southern sky; we have a small but well-focussed group; we have the best-calibrated receivers; and we have been able to observe with an almost regular cadence of 15 to 20 days over a wide bandwidth. With this proposal we aim to maintain our pre-eminent position in the field.

Unlike most observing proposals, this is a continuing proposal for which the observations will continue to improve bounds on ultra-low-frequency gravitational waves until they are finally detected. Continued Parkes observations will remain valuable at least until the first stage of the SKA is able to improve on our sensitivity and observing cadence. Even after the gravitational wave background is detected we will want to continue observations in support of the nascent field of gravitational wave astronomy!
DOI: 10.5281/zenodo.3236756
title: Position Weighted Backpressure Control algorithms Codes and Vissim Simulations

description: The attached file contains the simulation implementation of the Position Weighted Back Pressure Control algorithm, tested for various traffic demand scenarios. The comparison simulations with Fixed time, Back-pressure and Capacity aware back-pressure controls are also supplied. For more information about the testing procedures and analysis, see the article:

Li, L. and Jabari, S.E., 2018. Position weighted backpressure intersection control for connected urban networks. <em>arXiv preprint arXiv:1810.11406</em>.

The usage and modification of the attached files are subject to the citation of the above article or the dataset DOI: 10.5281/zenodo.3236757.
description: {"references": ["Li, L. and Jabari, S.E., 2018. Position weighted backpressure intersection control for connected urban networks.\u00a0arXiv preprint arXiv:1810.11406."]}
DOI: 10.5281/zenodo.3236757
title: Position Weighted Backpressure Control algorithms Codes and Vissim Simulations

description: The attached file contains the simulation implementation of the Position Weighted Back Pressure Control algorithm, tested for various traffic demand scenarios. The comparison simulations with Fixed time, Back-pressure and Capacity aware back-pressure controls are also supplied. For more information about the testing procedures and analysis, see the article:

Li, L. and Jabari, S.E., 2018. Position weighted backpressure intersection control for connected urban networks. <em>arXiv preprint arXiv:1810.11406</em>.

The usage and modification of the attached files are subject to the citation of the above article or the dataset DOI: 10.5281/zenodo.3236757.
description: {"references": ["Li, L. and Jabari, S.E., 2018. Position weighted backpressure intersection control for connected urban networks.\u00a0arXiv preprint arXiv:1810.11406."]}
DOI: 10.17632/nxhs4ppcdf.1
title: Data for: Quantitative constraints to the complete state of stress from the combined borehole and focal mechanism inversions: Fox Creek, Alberta

description: Supplementary material for Shen et al., (2019). Quantitative constraints to the complete state of stress from the combined borehole and focal mechanism inversions: Fox Creek, Alberta
DOI: 10.5281/zenodo.3236870
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Strijk, Joeri Sergej, https://orcid.org/0000-0003-1109-7015. Claims were made on Bloodhound, https://bloodhound-tracker.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.3236871
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Strijk, Joeri Sergej, https://orcid.org/0000-0003-1109-7015. Claims were made on Bloodhound, https://bloodhound-tracker.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.7910/dvn/xyt1vb/5yc6wt
title: bcch-ddrd-replication-archive.zip

description: :unav
DOI: 10.5281/zenodo.2540262
title: Data accompanying "An empirical pipeline for choosing the optimal clustering threshold in RADseq studies"

description: Data files accompanying "An empirical pipeline for choosing the optimal clustering threshold in RADseq studies"
DOI: 10.5281/zenodo.2540263
title: Data accompanying "An empirical pipeline for choosing the optimal clustering threshold in RADseq studies"

description: Data files accompanying "An empirical pipeline for choosing the optimal clustering threshold in RADseq studies"
DOI: 10.7267/tt44ps61c
title: Explaining Reinforcement Learning To Mere Mortals: An Empirical Study - Supplementary Materials

description: This dataset is the supplementary materials for the research paper "Explaining Reinforcement Learning to Mere Mortals: An Empirical Study". In an age where AI has become more pervasive, making decisions for us, it's reasonable to expect it to explain itself. What should these explanations look like? This study takes a look at the effectiveness of two visual explanation types: saliency maps (the eyeballs of the AI) and decomposed reward bars (its crystal ball for a predicted score in the future).
description: Our Research Questions were as follows: 	1. Which treatment is better (and how) at enabling people to describe how the system works? 	2. Which treatment is better (and how) at enabling people to predict what the system will do?
DOI: 10.25919/5cf2e4fdc8939
title: Parkes observations for project P456 semester 2019APRS_30

description: The Parkes Pulsar Timing Array (PPTA) project has three primary goals: (a) detection of gravitational waves from astronomical sources, (b) establishment of a pulsar timescale, and (c) improvement of our understanding of Solar-system dynamics. The PPTA is the oldest of three international pulsar timing groups. We have the smallest telescope and the smallest group, but the best measurements and the best results. Our bound on the strength of the incoherent gravitational wave background is the only bound which significantly constrains theoretical models. We have maintained our leading position because: we have the southern sky; we have a small but well-focussed group; we have the best-calibrated receivers; and we have been able to observe with an almost regular cadence of 15 to 20 days over a wide bandwidth. With this proposal we aim to maintain our pre-eminent position in the field.

Unlike most observing proposals, this is a continuing proposal for which the observations will continue to improve bounds on ultra-low-frequency gravitational waves until they are finally detected. Continued Parkes observations will remain valuable at least until the first stage of the SKA is able to improve on our sensitivity and observing cadence. Even after the gravitational wave background is detected we will want to continue observations in support of the nascent field of gravitational wave astronomy!
DOI: 10.25345/c56d3n
title: MassIVE MSV000083881 - A proteogenomic resource enabling rapid quantitative proteotype profiling of Listeria strains using DIA/SWATH
title: Listeria monocytogenes is an opportunistic foodborne pathogen responsible for listeriosis, the third most common foodborne disease. Many different Listeria strains and seroptypes exist, however a proteogenomic resource which would provide a basis for bridging the gap in the molecular understanding between the Listeria genotype and phenotypes via proteotypes is still missing. Here we devised a next-generation proteogenomics strategy which enables the community now to rapidly proteotype Listeria strains and relate the information back to the genotype. Based on sequencing and de novo assembly of the two most commonly used Listeria strain model systems, EGD-e and ScottA, we established a comprehensive Listeria proteogenomic database. A genome comparison established core and strain-specific genes with potential relevance for virulence differences. Next we established a DIA/SWATH-based proteotyping strategy, including a new and robust sample preparation workflow, enabling the reproducible, sensitive and relative quantitative measurement of Listeria proteotypes. This re-usable DIA/SWATH library and new public resource covers 70% of the potentially expressed ORFs of Listeria and represents the most extensive spectral library for Listeria proteotype analysis to date. We used these two new resources to investigate the Listeria proteotype in three states mimicking the upper gastrointestinal passage. Exposure of Listeria to bile salts at 37 oC, mimicking conditions encountered in the duodenum, showed significant proteotype perturbations including an increase of FlaA, the structural protein of flagella. Given that Listeria is known to lose its flagella above 30 oC, this was an unexpected finding. The formation of flagella, which might have implications within the infectivity cycle, was validated by parallel reaction monitoring, light and scanning electron microscopy. QPCR data of flaA transcripts showed no significant differences suggesting a regulation at the post-transcriptional level. Together, we provide a comprehensive proteogenomic resource and toolbox for the Listeria community enabling the analysis of Listeria genotype-proteotype-phenotype relationships.
DOI: 10.3886/e109967v1
title: TEgO: Teachable Egocentric Objects Dataset

description: TEgO dataset includes egocentric images of 19 distinct objects taken by two people for training and testing a teachable object recognizer. Specifically, a blind and a sighted individual takes photos of the objects using a smartphone camera to train and test their own teachable object recognizer.<br>A detailed description of the dataset (people, objects, environment, and lighting) can be found in our CHI 2019 paper titled “Hands holding clues for object recognition in teachable machines” (see citation below).<br>
DOI: 10.7910/dvn/mpt2oj/lg3yhm
title: householdvoltage.csv

description: :unav
DOI: 10.5061/dryad.m26m1t8/1
title: Dryad Item 10.5061/DRYAD.M26M1T8/1

description: (:tba)
DOI: 10.5061/dryad.m26m1t8/2
title: Dryad Item 10.5061/DRYAD.M26M1T8/2

description: (:tba)
DOI: 10.5281/zenodo.3236452
title: Engineering gene overlaps to sustain genetic constructs in vivo

description: Experimental data, simulation data, and code for data analysis and figure production for the paper "Engineering gene overlaps to sustain genetic constructs in vivo"
DOI: 10.6073/pasta/4cae169c3f5668c3c51caef70d2358be
title: Hubbard Brook Experimental Forest: Chemistry of Streamwater – Monthly Volume Weighted Concentrations, Watershed 7, 1995 - present

description: These data include volume-weighted, average, monthly concentrations of
  cations, anions, and pH measured in Watershed 7.

      
  HBWatER is a long-term record of stream and precipitation chemistry
  and volume. Currently this record is supported by NSF LTREB funding
  (for sample collection and processing), USDA Forest Service (USFS)
  funding (for maintenance of stream gauges, analytical chemistry and
  sample archiving), and LTER (for disposable supplies). The HBWatER
  supervisory team currently includes Emma Rosi (Cary Institute of
  Ecosystem Studies), Emily Bernhardt (Duke University), John Campbell
  (USFS), Charley Driscoll (Syracuse University.), Mark Green (Case
  Western Reserve University), Bill McDowell (University of NH ), and
  Lindsey Rustad (USFS).

      
  The long-term hydrologic record and calculation of fluxes are
  currently supervised by John Campbell (USFS). The collection and
  management of the long-term chemistry record is currently supervised
  by Emma Rosi (Cary Institute of Ecosystem Studies) and Emily Bernhardt
  (Duke University). At present field samples are collected by Tammy
  Wooster (Cary Institute of Ecosystem Studies), Chemical analyses are
  performed by Jeff Merriam (USFS). Data management and archiving is
  performed by Mary Martin (University of NH)

      
  HBWatER was initiated in 1963 by G.E. Likens, F. H. Bormann, R.
  Pierce, and N. Johnson. The record has been funded over its lifetime
  by the Mary Flagler Cary Charitable Trust, The Andrew W. Mellon
  Foundation, HBR LTER grants (#8702331, #9211768, #9810221, #0423259,
  #1114804, #1637685) and NSF LTREB (# 1256696). A full list of
  contributors to the HBWatER over its lifetime is provided at:
  Bernhardt E., G. Likens, E. Rosi. 2019. Continuous
  precipitation and stream chemistry data, Hubbard Brook Ecosystem
  Study, 1963 – present.. Environmental Data Initiative.
  https://doi.org/10.6073/pasta/4022d829f3a1fa4057b63b5db8b1a172.

      
  These data were gathered as part of the Hubbard Brook Ecosystem Study
  (HBES). The HBES is a collaborative effort at the Hubbard Brook
  Experimental Forest, which is operated and maintained by the USDA
  Forest Service, Northern Research Station.
DOI: 10.6073/pasta/6edfc476fc81711d54afc3ce8e3b2e25
title: Hubbard Brook Experimental Forest: Chemistry of Streamwater – Monthly Volume Weighted Concentrations, Watershed 4, 1963 - present

description: These data include volume-weighted, average, monthly concentrations of
  cations, anions, and pH measured in Watershed 4.

      
  HBWatER is a long-term record of stream and precipitation chemistry
  and volume. Currently this record is supported by NSF LTREB funding
  (for sample collection and processing), USDA Forest Service (USFS)
  funding (for maintenance of stream gauges, analytical chemistry and
  sample archiving), and LTER (for disposable supplies). The HBWatER
  supervisory team currently includes Emma Rosi (Cary Institute of
  Ecosystem Studies), Emily Bernhardt (Duke University), John Campbell
  (USFS), Charley Driscoll (Syracuse University.), Mark Green (Case
  Western Reserve University), Bill McDowell (University of NH ), and
  Lindsey Rustad (USFS).

      
  The long-term hydrologic record and calculation of fluxes are
  currently supervised by John Campbell (USFS). The collection and
  management of the long-term chemistry record is currently supervised
  by Emma Rosi (Cary Institute of Ecosystem Studies) and Emily Bernhardt
  (Duke University). At present field samples are collected by Tammy
  Wooster (Cary Institute of Ecosystem Studies), Chemical analyses are
  performed by Jeff Merriam (USFS). Data management and archiving is
  performed by Mary Martin (University of NH)

      
  HBWatER was initiated in 1963 by G.E. Likens, F. H. Bormann, R.
  Pierce, and N. Johnson. The record has been funded over its lifetime
  by the Mary Flagler Cary Charitable Trust, The Andrew W. Mellon
  Foundation, HBR LTER grants (#8702331, #9211768, #9810221, #0423259,
  #1114804, #1637685) and NSF LTREB (# 1256696). A full list of
  contributors to the HBWatER over its lifetime is provided at:
  Bernhardt E., G. Likens, E. Rosi. 2019. Continuous
  precipitation and stream chemistry data, Hubbard Brook Ecosystem
  Study, 1963 – present.. Environmental Data Initiative.
  https://doi.org/10.6073/pasta/4022d829f3a1fa4057b63b5db8b1a172.

      
  These data were gathered as part of the Hubbard Brook Ecosystem Study
  (HBES). The HBES is a collaborative effort at the Hubbard Brook
  Experimental Forest, which is operated and maintained by the USDA
  Forest Service, Northern Research Station.
DOI: 10.6073/pasta/7442a7e9566d9b484de9a269e7af8111
title: Hubbard Brook Experimental Forest: Chemistry of Streamwater – Monthly Volume Weighted Concentrations, Watershed 9, 1995 - present

description: These data include volume-weighted, average, monthly concentrations of
  cations, anions, and pH measured in Watershed 9.

      
  HBWatER is a long-term record of stream and precipitation chemistry
  and volume. Currently this record is supported by NSF LTREB funding
  (for sample collection and processing), USDA Forest Service (USFS)
  funding (for maintenance of stream gauges, analytical chemistry and
  sample archiving), and LTER (for disposable supplies). The HBWatER
  supervisory team currently includes Emma Rosi (Cary Institute of
  Ecosystem Studies), Emily Bernhardt (Duke University), John Campbell
  (USFS), Charley Driscoll (Syracuse University.), Mark Green (Case
  Western Reserve University), Bill McDowell (University of NH ), and
  Lindsey Rustad (USFS).

      
  The long-term hydrologic record and calculation of fluxes are
  currently supervised by John Campbell (USFS). The collection and
  management of the long-term chemistry record is currently supervised
  by Emma Rosi (Cary Institute of Ecosystem Studies) and Emily Bernhardt
  (Duke University). At present field samples are collected by Tammy
  Wooster (Cary Institute of Ecosystem Studies), Chemical analyses are
  performed by Jeff Merriam (USFS). Data management and archiving is
  performed by Mary Martin (University of NH)

      
  HBWatER was initiated in 1963 by G.E. Likens, F. H. Bormann, R.
  Pierce, and N. Johnson. The record has been funded over its lifetime
  by the Mary Flagler Cary Charitable Trust, The Andrew W. Mellon
  Foundation, HBR LTER grants (#8702331, #9211768, #9810221, #0423259,
  #1114804, #1637685) and NSF LTREB (# 1256696). A full list of
  contributors to the HBWatER over its lifetime is provided at:
  Bernhardt E., G. Likens, E. Rosi. 2019. Continuous
  precipitation and stream chemistry data, Hubbard Brook Ecosystem
  Study, 1963 – present.. Environmental Data Initiative.
  https://doi.org/10.6073/pasta/4022d829f3a1fa4057b63b5db8b1a172.

      
  These data were gathered as part of the Hubbard Brook Ecosystem Study
  (HBES). The HBES is a collaborative effort at the Hubbard Brook
  Experimental Forest, which is operated and maintained by the USDA
  Forest Service, Northern Research Station.
DOI: 10.6073/pasta/a827c9a7df52cc4e6fe7318425a2b6f3
title: Hubbard Brook Experimental Forest: Chemistry of Streamwater – Monthly Volume Weighted Concentrations, Watershed 5, 1963 - present

description: These data include volume-weighted, average, monthly concentrations of
  cations, anions, and pH measured in Watershed 5.

      
  HBWatER is a long-term record of stream and precipitation chemistry
  and volume. Currently this record is supported by NSF LTREB funding
  (for sample collection and processing), USDA Forest Service (USFS)
  funding (for maintenance of stream gauges, analytical chemistry and
  sample archiving), and LTER (for disposable supplies). The HBWatER
  supervisory team currently includes Emma Rosi (Cary Institute of
  Ecosystem Studies), Emily Bernhardt (Duke University), John Campbell
  (USFS), Charley Driscoll (Syracuse University.), Mark Green (Case
  Western Reserve University), Bill McDowell (University of NH ), and
  Lindsey Rustad (USFS).

      
  The long-term hydrologic record and calculation of fluxes are
  currently supervised by John Campbell (USFS). The collection and
  management of the long-term chemistry record is currently supervised
  by Emma Rosi (Cary Institute of Ecosystem Studies) and Emily Bernhardt
  (Duke University). At present field samples are collected by Tammy
  Wooster (Cary Institute of Ecosystem Studies), Chemical analyses are
  performed by Jeff Merriam (USFS). Data management and archiving is
  performed by Mary Martin (University of NH)

      
  HBWatER was initiated in 1963 by G.E. Likens, F. H. Bormann, R.
  Pierce, and N. Johnson. The record has been funded over its lifetime
  by the Mary Flagler Cary Charitable Trust, The Andrew W. Mellon
  Foundation, HBR LTER grants (#8702331, #9211768, #9810221, #0423259,
  #1114804, #1637685) and NSF LTREB (# 1256696). A full list of
  contributors to the HBWatER over its lifetime is provided at:
  Bernhardt E., G. Likens, E. Rosi. 2019. Continuous
  precipitation and stream chemistry data, Hubbard Brook Ecosystem
  Study, 1963 – present.. Environmental Data Initiative.
  https://doi.org/10.6073/pasta/4022d829f3a1fa4057b63b5db8b1a172.

      
  These data were gathered as part of the Hubbard Brook Ecosystem Study
  (HBES). The HBES is a collaborative effort at the Hubbard Brook
  Experimental Forest, which is operated and maintained by the USDA
  Forest Service, Northern Research Station.
DOI: 10.6073/pasta/d14048b9e1ae7647b8f410658fd7f690
title: Hubbard Brook Experimental Forest: Chemistry of Streamwater – Monthly Volume Weighted Concentrations, Watershed 8, 1995 - present

description: These data include volume-weighted, average, monthly concentrations of
  cations, anions, and pH measured in Watershed 8.

      
  HBWatER is a long-term record of stream and precipitation chemistry
  and volume. Currently this record is supported by NSF LTREB funding
  (for sample collection and processing), USDA Forest Service (USFS)
  funding (for maintenance of stream gauges, analytical chemistry and
  sample archiving), and LTER (for disposable supplies). The HBWatER
  supervisory team currently includes Emma Rosi (Cary Institute of
  Ecosystem Studies), Emily Bernhardt (Duke University), John Campbell
  (USFS), Charley Driscoll (Syracuse University.), Mark Green (Case
  Western Reserve University), Bill McDowell (University of NH ), and
  Lindsey Rustad (USFS).

      
  The long-term hydrologic record and calculation of fluxes are
  currently supervised by John Campbell (USFS). The collection and
  management of the long-term chemistry record is currently supervised
  by Emma Rosi (Cary Institute of Ecosystem Studies) and Emily Bernhardt
  (Duke University). At present field samples are collected by Tammy
  Wooster (Cary Institute of Ecosystem Studies), Chemical analyses are
  performed by Jeff Merriam (USFS). Data management and archiving is
  performed by Mary Martin (University of NH)

      
  HBWatER was initiated in 1963 by G.E. Likens, F. H. Bormann, R.
  Pierce, and N. Johnson. The record has been funded over its lifetime
  by the Mary Flagler Cary Charitable Trust, The Andrew W. Mellon
  Foundation, HBR LTER grants (#8702331, #9211768, #9810221, #0423259,
  #1114804, #1637685) and NSF LTREB (# 1256696). A full list of
  contributors to the HBWatER over its lifetime is provided at:
  Bernhardt E., G. Likens, E. Rosi. 2019. Continuous
  precipitation and stream chemistry data, Hubbard Brook Ecosystem
  Study, 1963 – present.. Environmental Data Initiative.
  https://doi.org/10.6073/pasta/4022d829f3a1fa4057b63b5db8b1a172.

      
  These data were gathered as part of the Hubbard Brook Ecosystem Study
  (HBES). The HBES is a collaborative effort at the Hubbard Brook
  Experimental Forest, which is operated and maintained by the USDA
  Forest Service, Northern Research Station.