cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/7bc8c26689b2f266cfb67182788570cd
title: Infilled precipitation data for D1, 1952 - 2010, daily

description: Precipitation data have been collected at the D1 climate station (3739 m asl) almost continuously from 1952 to the present. D1 is on a narrow, exposed ridge on the westernmost part of Niwot Ridge, 2.6 km east of and ca. 200 m lower in elevation than the Continental Divide. Surrounding vegetation is low-stature alpine tundra. Through 1969, precipitation was recorded using an unshielded U.S. Weather Bureau standard totalizing gauge, with observations manually recorded on an approximately weekly basis. Starting in 1965, daily precipitation has been recorded using a Belford weighing-bucket gauge with chart recorder and with an Alter-type shield encircled by a Wyoming-snow fence. Overlap in the two records was used to adjust the totalizing gauge record so that it could be merged with the weighing-bucket gauge record (see Methods). Missing daily data were infilled and multiday records were parsed to dailies (see Methods).
DOI: 10.6073/pasta/f8f2caed303b15fd83b574831120e155
title: Infilled temperature data for D1, 1952 - 2010, daily

description: Daily minimum and maximum surface air temperature data have been collected at the D1 climate station (3739 m asl) almost continuously from 1952 to the present. D1 is on a narrow, exposed ridge on the westernmost part of Niwot Ridge, 2.6 km east of and ca. 200 m lower in elevation than the Continental Divide. Surrounding vegetation is low-stature alpine tundra. Temperature minima and maxima were measured with a chart-recording hygrothermograph housed in a Stevenson screen. Hygrothermograph records were calibrated at the time of chart changes against liquid-in-glass thermometers. Processing included quality checks and infilling of missing daily data (see Methods).
DOI: 10.7295/w9cil50652
title: CIL:50652, Homo sapiens, Umbilical vein endothelial cell
DOI: 10.7295/w9cil50653
title: CIL:50653, Homo sapiens, Umbilical vein endothelial cell
DOI: 10.7295/w9cil50656
title: CIL:50656, Homo sapiens, Umbilical vein endothelial cell
DOI: 10.7295/w9cil50661
title: CIL:50661, Homo sapiens, Umbilical vein endothelial cell
DOI: 10.17632/45c3dgg68n.2
title: The Data of Isobaric tags for relative and absolute quantification-based proteomic analysis of defense responses triggered by the fungal pathogen Fusarium graminearum in wheat

description: The raw data for the isobaric tags for relative and absolute quantification-based proteomic analysis of defense responses triggered by the fungal pathogen Fusarium graminearum in wheat. It contained five files.
DOI: 10.17632/rp654cw6fx.1
title: Data for: Spatial Coincidence between Mining Activities and Protected Areas of Giant Panda Habitat: the Geographic Overlaps and Implications for Conservation
DOI: 10.7295/w9cil50657
title: CIL:50657, Homo sapiens, Umbilical vein endothelial cell
DOI: 10.7295/w9cil50658
title: CIL:50658, Homo sapiens, Umbilical vein endothelial cell
DOI: 10.7295/w9cil50659
title: CIL:50659, Homo sapiens, Umbilical vein endothelial cell
DOI: 10.7295/w9cil50660
title: CIL:50660, Homo sapiens, Umbilical vein endothelial cell
DOI: 10.17632/cpjntkgk5y.1
title: Tincal&ulexite

description: The direct shear test results of sand-bentonite mixtures in the presence of tincal and ulexite at room temperature and at 80C
DOI: 10.17632/dcggbpk5kh.1
title: Why is the given-before-new ordering functional? A reply to John A. Hawkins

description: Analysis & Conversion for section 5 Own research.
DOI: 10.17632/sjrkvk2zg7.1
title: LA ECONOMÍA POLÍTICA DE LA AUTONOMÍA DEL BANCO CENTRAL EUROPEO
DOI: 10.21227/2epv-w871
title: Online Offline Learning for Sound-based Indoor Localization Using Low-cost Hardware Data

description: Matlab Implementation of the described Online Offline Learning Architecture (OOLA) and Visualizations/Plots of Simulations (https://ieeexplore.ieee.org/document/8869796).The files includeData Generation SourcecodesMicrocontroller sourcecode (path:DataGeneration/controller.ino)Node-RED flow (path:DataGeneration/node_RED_flow.txt)Python file manipulation (path:DataGeneration/Python/prepare_data_format.py)Sound file generator (path:DataGeneration/soundGenerator.m)Raw dataOffline data (path:Matlab/load and preprocess offline data/data)Online data (path:Matlab/online data load and preprocess/data)Preprocessed dataOffline data (path:Matlab/load and preprocess offline data/Data3600.mat)Online data (path:Matlab/online data load and preprocess/DataOnline3600.mat)The Online Offline Learning Architecture (OOLA)Configurable (path:Matlab/OOL/InitOOL.m)With basic 1NN & K-Means implementations (path:Matlab/OOL/)Plots and visualisations of simulationsBasic LVQ simulator (path:Plots/LVQ Simulator/LVQSimulatorV003.m)K-Means/LVQ comparison simulator (path:Plots/LVQ Simulator/kmeanslvqprototypes.m)Overall results bar charts (path:Plots/ool results plot 1/plotergebnisse.m)StatisticsK-Means prototypes classification rates (path:Matlab/lvq and kmeans test/kMeansPrototypes)LVQ prototypes classification rates (path:Matlab/lvq and kmeans test/LVQPrototypes)OOLA classification rates depending on configurations (path:Results/OOL/)OOLA processing data for classification (path:Results/OOL/)
DOI: 10.7910/dvn/yctvll/k2usl7
title: The_Impact_of_Psychological_Poverty_on_Economic_Decisions.tab

description: Two Sheets: Meta_data and Experimental_Data
DOI: 10.12751/g-node.10246f
title: Neurochemical organization of the Drosophila brain visualized by endogenously tagged neurotransmitter receptors

description: This repository contains confocal data of T2A-GAL4 knock-in lines used for investigating the cellular organization and function of neurotransmitter receptor systems in the fly brain.
description: IsSupplementTo: Kondo S., Takahashi T., Yamagata N., Imanishi Y., Katow H., Hiramatsu S., Lynn K., Abe A., Kumaraswamy A., Tanimoto H. (2019) Neurochemical organization of the Drosophila brain visualized by endogenously tagged neurotransmitter receptors. In: Cell Reports
DOI: 10.5281/zenodo.3490731
title: Turbulent kinetic energy over large wind farms observed and simulated by the mesoscale model WRF (3.8.1)

description: This repository contains the WRF configuration files necessary to reproduce the simulations <br> as described in Siedersleben et al. 2019 (https://doi.org/10.5194/gmd-2019-100) The file windturbines_GMD.txt contains the locations of <br> all windturbines implemented in the simulations. The corresponding attributes of each <br> wind turbine type is described in the wind-turbine-xx.tbl. Be aware that all windturbines use the same power and thrust coefficients only the different hub heights and rotor diameters are taken into account as described in Siedersleben et al. (2019). The namelist.input_nameOfSimulation files necessary to run the simulations are provided in this repository as well. You may notice that <br> there are less namelist files than simulations. The simulations not using a TKE source use the same namelists as the ones with a TKE a source. However, the WRF model needs to be recompiled using the manipolated module_wind_fitch.F (you find this file in this repository). The sensitivity studies investigating the impact of the uncertainties in the power and thrust coefficients use the namelist of the control simulation CNTRb, but with manipulated wind-turbine-x_modMin/Max.tbl wind turbine files. The two python files get_era5*.py can be used to retrieve the ERA5 data, driving the WRF model. <br> Note that the dates and pathes have to be adjusted in the python files. <br> After downloading the surface and model level data some postprocessing <br> is necessary as described nicely here: "http://valcap74.blogspot.com/2017/10/how-to-run-wrf-model-driven-by-era5-on.html". For this<br> purpose the simple script called postProcessERA5 (based on the blog entry mentioned above) can be used.
DOI: 10.5281/zenodo.3490732
title: Turbulent kinetic energy over large wind farms observed and simulated by the mesoscale model WRF (3.8.1)

description: This repository contains the WRF configuration files necessary to reproduce the simulations <br> as described in Siedersleben et al. 2019 (https://doi.org/10.5194/gmd-2019-100) The file windturbines_GMD.txt contains the locations of <br> all windturbines implemented in the simulations. The corresponding attributes of each <br> wind turbine type is described in the wind-turbine-xx.tbl. Be aware that all windturbines use the same power and thrust coefficients only the different hub heights and rotor diameters are taken into account as described in Siedersleben et al. (2019). The namelist.input_nameOfSimulation files necessary to run the simulations are provided in this repository as well. You may notice that <br> there are less namelist files than simulations. The simulations not using a TKE source use the same namelists as the ones with a TKE a source. However, the WRF model needs to be recompiled using the manipolated module_wind_fitch.F (you find this file in this repository). The sensitivity studies investigating the impact of the uncertainties in the power and thrust coefficients use the namelist of the control simulation CNTRb, but with manipulated wind-turbine-x_modMin/Max.tbl wind turbine files. The two python files get_era5*.py can be used to retrieve the ERA5 data, driving the WRF model. <br> Note that the dates and pathes have to be adjusted in the python files. <br> After downloading the surface and model level data some postprocessing <br> is necessary as described nicely here: "http://valcap74.blogspot.com/2017/10/how-to-run-wrf-model-driven-by-era5-on.html". For this<br> purpose the simple script called postProcessERA5 (based on the blog entry mentioned above) can be used.
DOI: 10.7910/dvn/5kvlw4/3tu95v
title: Data Langer Kunow SP pharmacies acute diarrhoea Germany.tab

description: :unav
DOI: 10.21227/ct0z-5c81
title: Extreme Video Completion Dataset

description: This data set contains 50 low resolution (640 x 360) short videos containing a variety real life activities.
DOI: 10.5519/qd.3kxxy9g9
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1519 records)
DOI: 10.5519/qd.rcc9kfvm
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.21227/hxyf-ka21
title: LANDMASS

description: This dataset was developed at the School of Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology as part of the ongoing activities at the Center for Energy and Geo-Processing (CeGP) at Georgia Tech and KFUPM. LANDMASS stands for “LArge North-Sea Dataset of Migrated Aggregated Seismic Structures”. This dataset was extracted from the North Sea F3 block under the Creative Commons license (CC BY-SA 3.0). For the purposes of this work, four classes of seismic structures: Horizons, Chaotics, Faults, and Salt Domes, were automatically extracted from the F3 block using a curvelet based distance measure for seismic images also proposed by the CeGP. Then the extracted images where manually verified and all outliers or images that had more than one structure were removed.
DOI: 10.5281/zenodo.3514738
title: Matpower Ill-conditioned systems v1

description: According to the definition of [1], an ill-conditioned power system can be described as this system which, despite its solution does exists, it is not reachable using the standard Newton-Raphson technique and a flat start. They are ill-conditioned systems building by combining some available cases from Matpower's database (see file MATPOWER_Ill-conditioned_systems.txt for information). These systems have been used in some papers for validating novel Power-Flow techniques. [1] F. Milano, "Continuous Newton's Method for Power Flow Analysis," in <em>IEEE Transactions on Power Systems</em>, vol. 24, no. 1, pp. 50-57, Feb. 2009.
description: {"references": ["M. Tostado-V\u00e9liz, S. Kamel and F. Jurado, \"Comparison of various robust and efficient load-flow techniques based on Runge\u2013Kutta formulas,\" Electric Power Systems Research, vol. 174, Sept. 2019", "M. Tostado-V\u00e9liz, S. Kamel and F. Jurado, \"A powerful power-flow method based on Composite Newton-Cotes formula for ill-conditioned power systems,\" vol. 116, Mar. 2020"]}
DOI: 10.5281/zenodo.3514739
title: Matpower Ill-conditioned systems v1

description: According to the definition of [1], an ill-conditioned power system can be described as this system which, despite its solution does exists, it is not reachable using the standard Newton-Raphson technique and a flat start. They are ill-conditioned systems building by combining some available cases from Matpower's database (see file MATPOWER_Ill-conditioned_systems.txt for information). These systems have been used in some papers for validating novel Power-Flow techniques. [1] F. Milano, "Continuous Newton's Method for Power Flow Analysis," in <em>IEEE Transactions on Power Systems</em>, vol. 24, no. 1, pp. 50-57, Feb. 2009.
description: {"references": ["M. Tostado-V\u00e9liz, S. Kamel and F. Jurado, \"Comparison of various robust and efficient load-flow techniques based on Runge\u2013Kutta formulas,\" Electric Power Systems Research, vol. 174, Sept. 2019", "M. Tostado-V\u00e9liz, S. Kamel and F. Jurado, \"A powerful power-flow method based on Composite Newton-Cotes formula for ill-conditioned power systems,\" vol. 116, Mar. 2020"]}
DOI: 10.5281/zenodo.3514757
title: Chronicle of Nature - Phenology of Plants of The Central Chernozem State Biosphere Nature Reserve named after Professor V.V. Alyokhin

description: Plants Phenology dataset compiled in the context of Chronicle of Nature program in The Central Chernozem State Biosphere Nature Reserve named after Professor V.V. Alyokhin (Russian Federation) consisting of 48878 records collected during 54 years between 1961 and 2014.
description: This dataset export was created by EarthCape software platform version 18.3.1.40914
DOI: 10.5281/zenodo.3514758
title: Chronicle of Nature - Phenology of Plants of The Central Chernozem State Biosphere Nature Reserve named after Professor V.V. Alyokhin

description: Plants Phenology dataset compiled in the context of Chronicle of Nature program in The Central Chernozem State Biosphere Nature Reserve named after Professor V.V. Alyokhin (Russian Federation) consisting of 48878 records collected during 54 years between 1961 and 2014.
description: This dataset export was created by EarthCape software platform version 18.3.1.40914
DOI: 10.5255/ukda-sn-853386
title: China emission accounts in national, provincial and city levels 1997-2015
DOI: 10.5281/zenodo.3515069
title: Dataset for "Eight Millisecond Pulsars Discovered in the Arecibo PALFA Survey"

description: This repository includes pulse profile templates (Pulsar Archive format; .sm files) presented in Figure 1 and TEMPO-readable ephemerides associated with the final timing solutions presented in Table 1 (text-readable format; .par files) of the manuscript, "<em>Eight Millisecond Pulsars Discovered in the Arecibo PALFA Survey</em>" accepted to the Astrophysical Journal.
description: Upload performed by an AAS Journals Data Editor. Minor edit to system requirements.
DOI: 10.5281/zenodo.3515070
title: Dataset for "Eight Millisecond Pulsars Discovered in the Arecibo PALFA Survey"

description: This repository includes pulse profile templates (Pulsar Archive format; .sm files) presented in Figure 1 and TEMPO-readable ephemerides associated with the final timing solutions presented in Table 1 (text-readable format; .par files) of the manuscript, "<em>Eight Millisecond Pulsars Discovered in the Arecibo PALFA Survey</em>" accepted to the Astrophysical Journal.
description: Upload performed by an AAS Journals Data Editor
DOI: 10.21227/f5ef-sn35
title: PRECIS HAR

description: PRECIS HAR represents a RGB-D dataset for human activity recognition, captured with the 3D camera Orbbec Astra Pro. It consists of 16 different activities (stand up, sit down, sit still, read, write, cheer up, walk, throw paper, drink from a bottle, drink from a mug, move hands in front of the body, move hands close to the body, raise one hand up, raise one leg up, fall from bed, and faint), performed by 50 subjects. There are 800 videos in total, having both RGB and depth recordings.The dataset does not contain other people than the video subject that appear as environmental noise. Besides, the background does not change. However, its difficulties are:Small camera occlusions: from time to time, we added small occlusions to the RGB stream (we move the mouse from a part of the screen to the other), that simulate the presence of external, uncontrolled environment factors; for example, in a real scenario, a fly could pass in front of the camera.No stage directions: while filming the dataset, we did not instruct participants on how to perform each action. We simply told them the name of the action. Thus, they all interpreted them slightly differently, closer to the natural way in which a person would behave.Variable video length: because we did not impose constraints on how the participants had to perform each action, dataset videos have different lengths.Different lighting conditions: the source of light is variable, sometimes having scenes with pale light and other times with sun shining directly on scene parts. These lighting variations are however only visible in the RGB stream. The depth stream is not affected by environmental changes, as far as the light is concerned. We thus want to emphasize the utility of also examining the depth stream, while classifying videos from RGB-D cameras. When citing this dataset, please cite both the dataset and the article that introduces it: Fusion Mechanisms for Human Activity Recognition using Automated Machine Learning. Instructions will be added here once the article is published.
DOI: 10.5281/zenodo.3514797
title: scRNA-seq dataset prefiltered from Paul et al. (2015), Cell

description: Preprocessed dataset from Paul et al. (2015), Cell, to use for tradeSeq vignette.
DOI: 10.5523/bris.3u9log9k6begn27y0korx813xn
title: Data from "Passive, broadband and low-frequency suppression of laser amplitude noise to the shot-noise limit using hollow-core fibre" Physical Review Applied (10-2019)

description: Data output from experiment using hollow-core fibre to suppress classical amplitude noise in fibre laser systems. Used as basis in published work: "Passive, broadband and low-frequency suppression of laser amplitude noise to the shot-noise limit using hollow-core fibre".
DOI: 10.7910/dvn/5yigff/is72yd
title: 2018 Larkin et al Supplementary Material CCS expert elicitation_risk management.pdf

description: Expert elicitation, risk management
DOI: 10.7910/dvn/9e0ts1/i0kwwi
title: VAT Notch Public Use Data.zip

description: :unav
DOI: 10.7910/dvn/9e0ts1/toly5n
title: VAT_readme.docx

description: :unav
DOI: 10.17632/jmwnv9m86t.1
title: Data for: Tricarboxylic acid cycle enzyme activities in a mouse model of methylmalonic aciduria.
DOI: 10.25625/yrgvih/bixa0e
title: ReplicationData_Depenbusch_Klasen_2019_PLoSOne.xlsx

description: :unav
DOI: 10.25625/yrgvih/ngv9rt
title: Replication Data_Depenbusch Klasen_2019_PLoSOne.tab

description: :unav
DOI: 10.17632/5yj4ztghc6.1
title: Data for: Late Holocene ecological shifts and chironomid-inferred summer temperature changes reconstructed from lake Uddelermeer, the Netherlands
DOI: 10.5281/zenodo.3514707
title: 0.1 ms of asymmetric GM1:POPC/POPC (5:95/99) bilayer

description: Lollipop-like GM1. Fourth 25 microseconds of total 100 microseconds.
DOI: 10.15468/o9661q
title: Diversification in the mountains: a generic reappraisal of the Western Ghats endemic gecko genus Dravidogecko Smith, 1933 (Squamata: Gekkonidae) with descriptions of six new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Chaitanya, R., Giri, Varad B., Deepak, V., Datta-Roy, Aniruddha, Karanth, Praveen (2019): Diversification in the mountains: a generic reappraisal of the Western Ghats endemic gecko genus Dravidogecko Smith, 1933 (Squamata: Gekkonidae) with descriptions of six new species. Zootaxa 4688 (1): 1-56, DOI: https://doi.org/10.11646/zootaxa.4688.1.1
DOI: 10.5281/zenodo.3515478
title: Nickel and FLAG Pull-Down Results From HTT With Putative Interaction Partners

description: Huntington’s disease (HD) is a progressive neurological disorder caused by a mutation in the huntingtin gene, which encodes the huntingtin protein. Last year, the first structure of this protein was published. With a global resolution of approximately 4 Angstroms, this was a fantastic leap forward in our understanding of this protein. This structure helped our knowledge of Huntingtin, but there is still much more to find out. The structure published by this group is the only representative of about 75% of the protein, the other 25% being too mobile to capture using many high-resolution mapping techniques. One such mobile area is Exon 1, the location of the triplet repeat expansion responsible for HD. This critical region of the protein requires more structural information to understand. To obtain higher resolution images of this region, we are looking for huntingtin interaction partners that bind this region. These interaction partners will hopefully stabilize the structure enough to image the area. Interaction partners will be verified by a Pull-Down assay. Utilizing the FLAG-Tag and His-Tag present on HuntingtinPolyQ54+HAP40(HTT) complex used in this assay, we will look to identify reliable interaction partners.
description: The SGC is a registered charity (number 1097737) that receives funds from AbbVie, Bayer Pharma AG, Boehringer Ingelheim, Canada Foundation for Innovation, Eshelman Institute for Innovation, Genome Canada through Ontario Genomics Institute [OGI-055], Innovative Medicines Initiative (EU/EFPIA) [ULTRA-DD grant no. 115766], Janssen, Merck KGaA, Darmstadt, Germany, MSD, Novartis Pharma AG, Innovation and Science (MRIS), Pfizer, São Paulo Research Foundation-FAPESP, Takeda, and Wellcome.
DOI: 10.5281/zenodo.3515479
title: Nickel and FLAG Pull-Down Results From HTT With Putative Interaction Partners

description: Huntington’s disease (HD) is a progressive neurological disorder caused by a mutation in the huntingtin gene, which encodes the huntingtin protein. Last year, the first structure of this protein was published. With a global resolution of approximately 4 Angstroms, this was a fantastic leap forward in our understanding of this protein. This structure helped our knowledge of Huntingtin, but there is still much more to find out. The structure published by this group is the only representative of about 75% of the protein, the other 25% being too mobile to capture using many high-resolution mapping techniques. One such mobile area is Exon 1, the location of the triplet repeat expansion responsible for HD. This critical region of the protein requires more structural information to understand. To obtain higher resolution images of this region, we are looking for huntingtin interaction partners that bind this region. These interaction partners will hopefully stabilize the structure enough to image the area. Interaction partners will be verified by a Pull-Down assay. Utilizing the FLAG-Tag and His-Tag present on HuntingtinPolyQ54+HAP40(HTT) complex used in this assay, we will look to identify reliable interaction partners.
description: The SGC is a registered charity (number 1097737) that receives funds from AbbVie, Bayer Pharma AG, Boehringer Ingelheim, Canada Foundation for Innovation, Eshelman Institute for Innovation, Genome Canada through Ontario Genomics Institute [OGI-055], Innovative Medicines Initiative (EU/EFPIA) [ULTRA-DD grant no. 115766], Janssen, Merck KGaA, Darmstadt, Germany, MSD, Novartis Pharma AG, Innovation and Science (MRIS), Pfizer, São Paulo Research Foundation-FAPESP, Takeda, and Wellcome.
DOI: 10.17036/researchdata.aston.ac.uk.00000436
title: Data underpinning article "Linear and nonlinear impairments of few-mode fibers with partial coupling between groups of quasi-degenerate modes"