cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3723506
title: EMUE-D2-1-MulticomponentMaterials

description: The example shows how to calculate risks of false decisions in the conformity assessment of a multicomponent material, taking into account both the measurement uncertainties and the covariances for the measured content values of the components. An influenza medication (NyQuil tablets) is considered as an example of multicomponent material [Activity A1.2.1]. Files contained in the dataset are: A121_Report.pdf: Report “Conformity assessment of an influenza medication as a multicomponent material” A121_Report.tex: LaTeX file to be compiled in order to produce A121_Report.pdf A121_Report.synctex.gz: file generated when compiling A121_Report.tex CompendiumA121.bib: bibliography file A121_Medicine_total_specific_risk.r: calculation of the total specific consumer's risk (opened as a .txt file, it provides the example raw data) A121_Medicine_total_global_risk.r: calculation of the total global consumer's risk (opened as a .txt file, it provides the example raw data)
description: The example relies on the following publication and IUPAC Project: - Ilya Kuselman, Francesca R. Pennecchi, Ricardo J.N.B. da Silva, and D. Brynn Hibbert. Risk of false decision on conformity of a multicomponent material when test results of the components' content are correlated, Talanta, 174:789–796 - IUPAC Project n: 2016-007-1-500, Risks of conformity assessment of a multicomponent material or object in relation to measurement uncertainty of its test results, https://iupac.org/projects/project-details/?project_nr=2016-007-1-500
DOI: 10.5281/zenodo.3723507
title: EMUE-D2-1-MulticomponentMaterials

description: The example shows how to calculate risks of false decisions in the conformity assessment of a multicomponent material, taking into account both the measurement uncertainties and the covariances for the measured content values of the components. An influenza medication (NyQuil tablets) is considered as an example of multicomponent material [Activity A1.2.1]. Files contained in the dataset are: A121_Report.pdf: Report “Conformity assessment of an influenza medication as a multicomponent material” A121_Report.tex: LaTeX file to be compiled in order to produce A121_Report.pdf A121_Report.synctex.gz: file generated when compiling A121_Report.tex CompendiumA121.bib: bibliography file A121_Medicine_total_specific_risk.r: calculation of the total specific consumer's risk (opened as a .txt file, it provides the example raw data) A121_Medicine_total_global_risk.r: calculation of the total global consumer's risk (opened as a .txt file, it provides the example raw data)
description: The example relies on the following publication and IUPAC Project: - Ilya Kuselman, Francesca R. Pennecchi, Ricardo J.N.B. da Silva, and D. Brynn Hibbert. Risk of false decision on conformity of a multicomponent material when test results of the components' content are correlated, Talanta, 174:789–796 - IUPAC Project n: 2016-007-1-500, Risks of conformity assessment of a multicomponent material or object in relation to measurement uncertainty of its test results, https://iupac.org/projects/project-details/?project_nr=2016-007-1-500
DOI: 10.5281/zenodo.3723244
title: Enhancement of Hippocampal Spatial Decoding with a Q-Learning Method Utilizing Theta Rhythm Phase Precession as the Relative Reward Approach

description: Winners of the 2014 Nobel Prize in Physiology or Medicine, Professors John O’Keefe, May‐Britt Moser and Edvard I. Moser found that the internal global positioning system (GPS) in the brain allows us to be able to flexibly navigate the world they live in – exploring new areas, returning quickly to remembered places, and taking shortcuts and confirmed that place cells in hippocampus and grid cells in entorhinal cortex (EC) are responsible for higher-order cognitive map of the environment. Indeed, these abilities feel so easy and natural that it is not immediately obvious how complex the underlying processes really are. In contrast, spatial navigation remains a substantial challenge for artificial agents whose abilities are far outstripped by those of mammals. Hippocampal place cells and interneurons in mammals have proved that they own stable place fields and theta phase precession profiles to encode the spatial information from the environment. The hippocampal CA1 neurons can be represented as the location of the animal and the prospective information of goal location. Reinforcement learning algorithm, e.g., Q-learning, has been adopted to build a navigation model of place cells for the purpose of addressing goal direction navigation problems.<br> In this study, we propose dynamical Q-learning (dQ-learning), because of its adaptive reward function based on theta phase precession, which has recently been associated with a rat’s experiences at destinations, and use of information from both place cells and interneurons as inputs to predict the animal’s trajectory. We evaluated the convergence rates and learning performances of tQ-learning and dQ-learning with different cell types. The results demonstrate that dQ-learning improves learning performance and convergence rate and place cells and interneurons with phase precession may provide valuable information to improve the prediction of trajectory. To investigate whether the enhancement of hippocampal spatial decoding with the dQ-learning method was effective in goal-direction navigation, experimental data were recorded from rats implanted with microelectrodes and trained in a water reward task. During the task electrophysiological recordings of spikes, LFPs, and movement trajectories were acquired. The proposed dQ-learning algorithm achieved better learning performance with good prediction accuracy and a high convergence rate. The adaptive reward function and cell types were found to be critical factors for hippocampal spatial decoding using the dQ-learning method.
DOI: 10.5281/zenodo.3723245
title: Enhancement of Hippocampal Spatial Decoding with a Q-Learning Method Utilizing Theta Rhythm Phase Precession as the Relative Reward Approach

description: Winners of the 2014 Nobel Prize in Physiology or Medicine, Professors John O’Keefe, May‐Britt Moser and Edvard I. Moser found that the internal global positioning system (GPS) in the brain allows us to be able to flexibly navigate the world they live in – exploring new areas, returning quickly to remembered places, and taking shortcuts and confirmed that place cells in hippocampus and grid cells in entorhinal cortex (EC) are responsible for higher-order cognitive map of the environment. Indeed, these abilities feel so easy and natural that it is not immediately obvious how complex the underlying processes really are. In contrast, spatial navigation remains a substantial challenge for artificial agents whose abilities are far outstripped by those of mammals. Hippocampal place cells and interneurons in mammals have proved that they own stable place fields and theta phase precession profiles to encode the spatial information from the environment. The hippocampal CA1 neurons can be represented as the location of the animal and the prospective information of goal location. Reinforcement learning algorithm, e.g., Q-learning, has been adopted to build a navigation model of place cells for the purpose of addressing goal direction navigation problems.<br> In this study, we propose dynamical Q-learning (dQ-learning), because of its adaptive reward function based on theta phase precession, which has recently been associated with a rat’s experiences at destinations, and use of information from both place cells and interneurons as inputs to predict the animal’s trajectory. We evaluated the convergence rates and learning performances of tQ-learning and dQ-learning with different cell types. The results demonstrate that dQ-learning improves learning performance and convergence rate and place cells and interneurons with phase precession may provide valuable information to improve the prediction of trajectory. To investigate whether the enhancement of hippocampal spatial decoding with the dQ-learning method was effective in goal-direction navigation, experimental data were recorded from rats implanted with microelectrodes and trained in a water reward task. During the task electrophysiological recordings of spikes, LFPs, and movement trajectories were acquired. The proposed dQ-learning algorithm achieved better learning performance with good prediction accuracy and a high convergence rate. The adaptive reward function and cell types were found to be critical factors for hippocampal spatial decoding using the dQ-learning method.
DOI: 10.5281/zenodo.3723567
title: Ordinary collective housing buildings in Porto (Portugal)

description: This repository includes a graphical and analytical information of ordinary collective buildings (mainly layouts) of the city of Porto, Portugal. The source of the information is the PhD thesis of the author Gisela Lameira (https://hdl.handle.net/10216/109984), in which the original plans found in the archives of the services of Porto municipality were redrawn.
DOI: 10.5281/zenodo.3723568
title: Ordinary collective housing buildings in Porto (Portugal)

description: This repository includes a graphical and analytical information of ordinary collective buildings (mainly layouts) of the city of Porto, Portugal. The source of the information is the PhD thesis of the author Gisela Lameira (https://hdl.handle.net/10216/109984), in which the original plans found in the archives of the services of Porto municipality were redrawn.
DOI: 10.5281/zenodo.3723595
title: Number of diagnoses with coronavirus disease (COVID-19) in The Netherlands

description: Datasets in this publication report the number of diagnoses with coronavirus disease (COVID-19) based on RIVM reports in The Netherlands. Since 3 March, RIVM reports the number of diagnoses with the coronavirus and their municipality of residence on a daily base. The data contains the total number of positively tested patients. It is not a dataset with the current number of sick people in the Netherlands. The RIVM does not currently provide data on people who have been cured. RIVM provides daily updates of the data. The data is not stored in a persistent way and is updated on the fly. RIVM removes data from previous days from their website. Therefore, it is not possible to monitor the spread of the coronavirus disease in the Netherlands on this data standalone. The data in this publication is composed of hourly downloads of the data of the website of RIVM. All code to compose the data was found on https://github.com/J535D165/CoronaWatchNL as well as graphs based on the data.
DOI: 10.5519/qd.z793i1jd
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (44 records)
DOI: 10.5281/zenodo.3685804
title: AFM raw data - Aghebat Rafat et al., 2020

description: AFM raw data. Data files are in the original .ibw format used by the Asylum Cypher AFM used in the experiments.
DOI: 10.5281/zenodo.3685805
title: AFM raw data - Aghebat Rafat et al., 2020

description: AFM raw data. Data files are in the original .ibw format used by the Asylum Cypher AFM used in the experiments.
DOI: 10.5281/zenodo.3723674
title: IO Islamic 1374. The Revenues of the Dakhan, Full Statistical Tables of the Assessment of All the Various Provinces

description: IO Islamic 1374. The Revenues of the Dakhan, Full Statistical Tables of the Assessment of All the Various Provinces
DOI: 10.5281/zenodo.3723673
title: IO Islamic 1374. The Revenues of the Dakhan, Full Statistical Tables of the Assessment of All the Various Provinces

description: IO Islamic 1374. The Revenues of the Dakhan, Full Statistical Tables of the Assessment of All the Various Provinces
DOI: 10.5281/zenodo.3723675
title: IO Islamic 1608. The Revenues of the Dakhan, Full Statistical Tables of the Assessment of All the Various Provinces

description: IO Islamic 1608. The Revenues of the Dakhan, Full Statistical Tables of the Assessment of All the Various Provinces
DOI: 10.5281/zenodo.3723676
title: IO Islamic 1608. The Revenues of the Dakhan, Full Statistical Tables of the Assessment of All the Various Provinces

description: IO Islamic 1608. The Revenues of the Dakhan, Full Statistical Tables of the Assessment of All the Various Provinces
DOI: 10.3886/e113177v1-23241
title: Replication data for: The Nexus of Monetary Policy and Shadow Banking in China

description: We study how monetary policy in China influences banks' shadow banking activities. We develop and estimate the endogenously switching monetary policy rule that is based on institutional facts and at the same time tractable in the spirit of Taylor (1993). This development, along with two newly constructed micro banking datasets, enables us to establish the following empirical evidence. Contractionary monetary policy during 2009–2015 caused shadow banking loans to rise rapidly, offsetting the expected decline of traditional bank loans and hampering the effectiveness of monetary policy on total bank credit. We advance a theoretical explanation of our empirical findings.
DOI: 10.5281/zenodo.3723678
title: IO Islamic 1632. The Revenues of the Khândîsh, Full Statistical Tables of the Assessment of All the Various Provinces

description: IO Islamic 1632. The Revenues of the Khândîsh, Full Statistical Tables of the Assessment of All the Various Provinces
DOI: 10.5281/zenodo.3723677
title: IO Islamic 1632. The Revenues of the Khândîsh, Full Statistical Tables of the Assessment of All the Various Provinces

description: IO Islamic 1632. The Revenues of the Khândîsh, Full Statistical Tables of the Assessment of All the Various Provinces
DOI: 10.5281/zenodo.3723679
title: IO Islamic 1707. The Revenues of the Barâr, Full Statistical Tables of the Assessment of All the Various Provinces

description: IO Islamic 1707. The Revenues of the Barâr, Full Statistical Tables of the Assessment of All the Various Provinces
DOI: 10.5281/zenodo.3723680
title: IO Islamic 1707. The Revenues of the Barâr, Full Statistical Tables of the Assessment of All the Various Provinces

description: IO Islamic 1707. The Revenues of the Barâr, Full Statistical Tables of the Assessment of All the Various Provinces
DOI: 10.25919/5e77611191255
title: Parkes observations for project P574 semester 2019OCTS_07

description: We request time to observe 260 pulsars on a regular basis to provide the accurate ephemerides necessary for the detection and characterisation of gamma-ray pulsars with the Fermi satellite. The primary science goals are to increase the number of known gamma-ray pulsars (both radio loud and radio quiet), to determine accurate pulse profiles, and to characterise their high energy (phase-resolved) spectra. In the radio, the observations will also allow us to investigate: neutron stars and pulsar emission via detecting glitches and determining pulse timing parameters; and the ISM via measuring and monitoring dispersion measures, Faraday rotation measures, and scintillation. To date, we are (co-)authors on 75 papers arising from the collaboration and P574 data. The data have contributed to the PhD theses of students from Bordeaux, Manchester, Oxford, Stanford, and Swinburne.
DOI: 10.25345/c5q39g
title: MassIVE MSV000085133 - Characterization of prenylated peptides from mouse brain
title: Characterization of prenyl proteins and peptides using LCMS
DOI: 10.5281/zenodo.3723819
title: Trait-specific trade-offs prevent niche expansion in two parasites

description: Data and analyses for a condensed version of the manuscript "Trait-specific trade-offs prevent niche expansion in two parasites" by Lievens et al., on bioRxiv at https://doi.org/10.1101/621581. The only difference with the previous version of this package (doi 10.5281/zenodo.3476544) is that some lines were analyzed separately to improve the readability of the manuscript (i.e. a slightly different analysis file).
DOI: 10.14469/hpc/7020
title: Michael 1,4 addition TS2, IRC.

description: Gaussian Calculation
DOI: 10.25919/5e777ce5d8df4
title: Parkes observations for project P885 semester 2019OCTS_15

description: We propose to observe the magnetars 1E 1547.0-5408 and PSR J1622-4950 approximately weekly, to track their rotation, flux density, and polarisation, as we have been doing through this project. Also, as of late 2018, XTE J1810-197 is again a radio magnetar after 10 years dormant! Its chaotic rotation is better tracked in detail elsewhere, but weekly observations with the UWL receiver are already providing unique measurements of its radio spectrum and broad-band behaviour. Our observations provide an important window into remarkably dynamic magnetar magnetospheres, and characterise the conditions under which radio emission takes place therein, placing constraints on the emission mechanisms, which in at least some significant respects differ from those of ordinary pulsars.
DOI: 10.26300/p8jq-6e12
title: Data from "Probing the Invariant Structure of Spatial Knowledge: Support for the cognitive graph hypothesis"
DOI: 10.6084/m9.figshare.12017133.v2
title: RStudioTest.csv

description: i just want to get my bonus points
DOI: 10.5281/zenodo.3723879
title: Three-dimensional hydraulic tomography analysis of long-term municipal wellfield operations: Validation with synthetic flow and solute transport data

description: Attached are the datasets utilized to accomplish the study of "<em>Three-dimensional hydraulic tomography analysis of long-term municipal wellfiled operations: Validation with synthetic flow and solute transport data". </em>Basically, it includes the information of the discrete model and assigned, wells as well as the generated synthetic hydraulic head and solute concentration data.
DOI: 10.5281/zenodo.3723880
title: Three-dimensional hydraulic tomography analysis of long-term municipal wellfield operations: Validation with synthetic flow and solute transport data

description: Attached are the datasets utilized to accomplish the study of "<em>Three-dimensional hydraulic tomography analysis of long-term municipal wellfiled operations: Validation with synthetic flow and solute transport data". </em>Basically, it includes the information of the discrete model and assigned, wells as well as the generated synthetic hydraulic head and solute concentration data.
DOI: 10.14272/sphvuxizezxnph-uhfffaoysa-n.1
title: 1,4-bis(1-bromoethyl)benzene
title: InChI=1S/C10H12Br2/c1-7(11)9-3-5-10(6-4-9)8(2)12/h3-8H,1-2H3

description: This dataset contains experimental data from a sample (1,4-bis(1-bromoethyl)benzene, InChI=1S/C10H12Br2/c1-7(11)9-3-5-10(6-4-9)8(2)12/h3-8H,1-2H3). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) mass spectrometry (MS)
DOI: 10.14272/sphvuxizezxnph-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) (1,4-bis(1-bromoethyl)benzene)
title: InChI=1S/C10H12Br2/c1-7(11)9-3-5-10(6-4-9)8(2)12/h3-8H,1-2H3

description: dataset for mass spectrometry (MS) EI (m/z, 70 eV, 40 °C): 294/292/290 (1/3/1) [M+], 213 /211 (84/76) [M+ – Br], 132 (100) [M+ – 2 Br], 117 (36) [M+ – 2 Br – CH3], 91 (17).HRMS–EI (m/z): [M]+ calcd for C10H1279Br2, 289.9300; found, 289.9302.
DOI: 10.14272/sphvuxizezxnph-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (1,4-bis(1-bromoethyl)benzene)
title: InChI=1S/C10H12Br2/c1-7(11)9-3-5-10(6-4-9)8(2)12/h3-8H,1-2H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, Chloroform-d (s), [7.27 ppm], ppm) δ = 7.42 (s, 4H), 5.21 (q, J = 7.1 Hz, 2H), 2.05 (d, J = 7.1 Hz, 6H).
DOI: 10.14272/sphvuxizezxnph-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (1,4-bis(1-bromoethyl)benzene)
title: InChI=1S/C10H12Br2/c1-7(11)9-3-5-10(6-4-9)8(2)12/h3-8H,1-2H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (100 MHz, CDCl3 [77.0 ppm], ppm) δ = 143.3 (2C), 127.1 (4C), 48.8, 48.8, 26.7, 26.7.
DOI: 10.14272/witxfyclpdfrnm-uhfffaoysa-n.1
title: 2-benzylisoindole-1,3-dione
title: InChI=1S/C15H11NO2/c17-14-12-8-4-5-9-13(12)15(18)16(14)10-11-6-2-1-3-7-11/h1-9H,10H2

description: This dataset contains experimental data from a sample (2-benzylisoindole-1,3-dione, InChI=1S/C15H11NO2/c17-14-12-8-4-5-9-13(12)15(18)16(14)10-11-6-2-1-3-7-11/h1-9H,10H2). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) mass spectrometry (MS)
DOI: 10.14272/witxfyclpdfrnm-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) (2-benzylisoindole-1,3-dione)
title: InChI=1S/C15H11NO2/c17-14-12-8-4-5-9-13(12)15(18)16(14)10-11-6-2-1-3-7-11/h1-9H,10H2

description: dataset for mass spectrometry (MS) EI (m/z, 70 eV, 60 °C): 238/237 (15/100) [M+], 219 (20), 209 (8) [M+ – CO], 208 (5). HRMS–EI (m/z): [M]+ calcd for C15H11NO2, 237.0784; found 237.0784.
DOI: 10.14272/witxfyclpdfrnm-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (2-benzylisoindole-1,3-dione)
title: InChI=1S/C15H11NO2/c17-14-12-8-4-5-9-13(12)15(18)16(14)10-11-6-2-1-3-7-11/h1-9H,10H2

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, Chloroform-d [7.27 ppm], ppm) δ = 7.87–7.27 (m, 2H), 7.73–7.69 (m, 2H), 7.45–7.47 (m, 2H), 7.30–7.36 (m, 3H), 4.86 (s, 2H). Impurities: This spectrum contains around 5% impurities at 8.27 ppm and 4.89 ppm due to an unknown by-product.
DOI: 10.14272/witxfyclpdfrnm-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (2-benzylisoindole-1,3-dione)
title: InChI=1S/C15H11NO2/c17-14-12-8-4-5-9-13(12)15(18)16(14)10-11-6-2-1-3-7-11/h1-9H,10H2

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (100 MHz, Chloroform-d [77.0 ppm]) δ = 168.0 (2C), 136.3 (2C), 133.9, 132.1, 128.6 (2C), 128.6 (2C), 127.8 (2C), 123.3 (2C), 41.6.Impurities: This spectrum contains around 5% impurities at 128.7 ppm, 118.5 ppm and 42.2 ppm due to an unknown by-product.
DOI: 10.6073/pasta/74f867113b9482a1a1a4b5423f9a2a2b
title: North Temperate Lakes LTER: Boat Traffic Through Yahara Locks 1976 - 2011

description: One of the dominant uses of the Madison area lakes is for boating. In order to develop a long term data set on the temporal fluctuations and trends in such activity, the LTER project has obtained records of boat traffic that passes through the locks at the head of the Yahara River on its stretch between Lake Mendota and Lake Monona. This data was gathered by the Dane County Department of Public Works as part of the County''s ongoing monitoring of its own facilities and their use. This data set will be augmented as the Department of Public Works makes updates available. Data is currently only available through 2011. Sampling Frequency: tallied daily April through October; exact starting dates vary each year Number of sites: 1
DOI: 10.3886/e115824v1-23243
title: How school and district leaders access, perceive, and use research

description: This study examined how school and district leaders access, value, and use research. From a representative sample of school districts across the United States, we surveyed 733 school and district leaders as part of an effort to develop understanding of the prevalence of research use, the nature of leaders’ attitudes toward research, and individual and organizational correlates of research use. School and district leaders alike reported frequent use of research use and generally positive attitudes toward research. Leaders reported accessing research primarily through their professional networks. Those in certain roles, those pursuing or holding an advanced degree, and those who reported a strong organizational culture of evidence use reported higher levels of research use. These findings suggest that policy efforts to promote evidence use among education leaders will be welcomed but that policy makers need to take into account the prevalence of various types of research use in designing supports for evidence use.
description: Response Rates: 51.5%