cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/5d0868d48591e
title: Musgrave Province Airborne Electromagnetic Conductivity Grids

description: Airborne electromagnetic surveys undertaken in the Musgraves Province in South Australia Queensland, Australia. The surveys were flown between the 18th August 2016 and 14th October 2016.

Project

As part of the Goyder Institutes Facilitating Long-Term Outback Water Solutions Stage 3 (G-FLOWS 3) two airborne electromagnetic (AEM) surveys were flown to assist in a regional groundwater resources assessment in an otherwise data poor area.
AEM systems
For the AEM data acquisition, two different AEM surveys were planned with a relatively wide line spacing of 2km, wide enough to cover a large region, whilst being close enough to provide useful information about the variability of cover, including the location and geometry of the major palaeovalley systems known to be present in the area. Both surveys were flown with a line spacing of 2km in a north-south direction. The western survey was flown with the TEMPEST high moment (HM) system, and the eastern part with the SkyTEM312FAST system. Both systems are time domain AEM systems, one being of a fixed wing configuration (TEMPEST), the other being helicopter borne (SkyTEM).
DOI: 10.6073/pasta/3eb47a3aab539531b90a7336aff56e30
title: Eddy Flux Measurements, Tussock Station, Imnavait Creek, Alaska - 2013

description: The Biocomplexity Station was established in 2005 to measure landscape-level carbon, water and energy balances at Imnavait Creek, Alaska. The station is now contributing valuable data to the Arctic Observing Network that was established at two nearby stations. These will form part of a network of observatories with Abisko (Sweden), Zackenburg (Greenland) and a location in the Canadian High Arctic which will provide further data points as part of the International Polar Year. This particular part of the project focuses on simultaneous measurements of carbon, water and energy fluxes of the terrestrial landscape at hourly, daily, seasonal and multi-year time scales. These are the major regulatory drivers of the Arctic climate system and form key linkages and feedbacks between the land surface, the atmosphere and the oceans. We will provide a comprehensive description of the state of the regional Arctic system with respect to these variables, its overall regulation and controlling features and its interaction with the global system.
DOI: 10.6073/pasta/834c43e51dc5647a1af9922f9d246498
title: Eddy Flux Measurements, Tussock Station, Imnavait Creek, Alaska - 2005

description: The Biocomplexity Station was established in 2005 to measure landscape-level carbon, water and energy balances at Imnavait Creek, Alaska.  The station is now contributing valuable data to the Arctic Observing Network that was established at two nearby stations.  These will form part of a network of observatories with Abisko (Sweden), Zackenburg (Greenland) and a location in the Canadian High Arctic which will provide further data points as part of the International Polar Year.  This particular part of the project focuses on simultaneous measurements of carbon, water and energy fluxes of the terrestrial landscape at hourly, daily, seasonal and multi-year time scales.  These are the major regulatory drivers of the Arctic climate system and form key linkages and feedbacks between the land surface, the atmosphere and the oceans.  We will provide a comprehensive description of the state of the regional Arctic system with respect to these variables, its overall regulation and controlling features and its interaction with the global system.
DOI: 10.6073/pasta/29f7e2c8ff4c5d325f984140f6a798f7
title: Eddy Flux Measurements, Ridge Station, Imnavait Creek, Alaska - 2007

description: In contribution to the Arctic Observing Network, the researchers have established two observatories of landscape-level carbon, water and energy balances at Imnavait Creek, Alaska and at Pleistocene Park near Cherskii, Russia. These will form part of a network of observatories with Abisko (Sweden), Zackenburg (Greenland) and a location in the Canadian High Arctic which will provide further data points as part of the International Polar Year. This particular part of the project focuses on simultaneous measurements of carbon, water and energy fluxes of the terrestrial landscape at hourly, daily, seasonal and multi-year time scales. These are the major regulatory drivers of the Arctic climate system and form key linkages and feedbacks between the land surface, the atmosphere and the oceans. We will provide a comprehensive description of the state of the regional Arctic system with respect to these variables, its overall regulation and controlling features and its interaction with the global system.In support of these objectives, a 3m eddy covariance station was established on a low ridge adjacent to Imnavait Creek, Alaska. This station has been continuously monitoring carbon dioxide, water vapor, energy fluxes and various micrometeorological variables.
DOI: 10.6073/pasta/6cb2537adeeb317add88046b3475a03a
title: Eddy Flux Measurements, Tussock Station, Imnavait Creek, Alaska - 2011

description: The Biocomplexity Station was established in 2005 to measure landscape-level carbon, water and energy balances at Imnavait Creek, Alaska.  The station is now contributing valuable data to the Arctic Observing Network that was established at two nearby stations.  These will form part of a network of observatories with Abisko (Sweden), Zackenburg (Greenland) and a location in the Canadian High Arctic which will provide further data points as part of the International Polar Year.  This particular part of the project focuses on simultaneous measurements of carbon, water and energy fluxes of the terrestrial landscape at hourly, daily, seasonal and multi-year time scales.  These are the major regulatory drivers of the Arctic climate system and form key linkages and feedbacks between the land surface, the atmosphere and the oceans.  We will provide a comprehensive description of the state of the regional Arctic system with respect to these variables, its overall regulation and controlling features and its interaction with the global system.
DOI: 10.6073/pasta/ba4d125620aecd9e66f267b1c87f3a63
title: Eddy Flux Measurements, Tussock Station, Imnavait Creek, Alaska - 2010

description: The Biocomplexity Station was established in 2005 to measure landscape-level carbon, water and energy balances at Imnavait Creek, Alaska.  The station is now contributing valuable data to the Arctic Observing Network that was established at two nearby stations.  These will form part of a network of observatories with Abisko (Sweden), Zackenburg (Greenland) and a location in the Canadian High Arctic which will provide further data points as part of the International Polar Year.  This particular part of the project focuses on simultaneous measurements of carbon, water and energy fluxes of the terrestrial landscape at hourly, daily, seasonal and multi-year time scales.  These are the major regulatory drivers of the Arctic climate system and form key linkages and feedbacks between the land surface, the atmosphere and the oceans.  We will provide a comprehensive description of the state of the regional Arctic system with respect to these variables, its overall regulation and controlling features and its interaction with the global system.
DOI: 10.6073/pasta/190d7d196ff9a3bf5d9d3b170641c0f3
title: Eddy Flux Measurements, Tussock Station, Imnavait Creek, Alaska - 2009

description: The Biocomplexity Station was established in 2005 to measure landscape-level carbon, water and energy balances at Imnavait Creek, Alaska.  The station is now contributing valuable data to the Arctic Observing Network that was established at two nearby stations.  These will form part of a network of observatories with Abisko (Sweden), Zackenburg (Greenland) and a location in the Canadian High Arctic which will provide further data points as part of the International Polar Year.  This particular part of the project focuses on simultaneous measurements of carbon, water and energy fluxes of the terrestrial landscape at hourly, daily, seasonal and multi-year time scales.  These are the major regulatory drivers of the Arctic climate system and form key linkages and feedbacks between the land surface, the atmosphere and the oceans.  We will provide a comprehensive description of the state of the regional Arctic system with respect to these variables, its overall regulation and controlling features and its interaction with the global system.
DOI: 10.5281/zenodo.3964615
title: Silicon-29 Magic-Angle Flipping Nuclear Magnetic Resonance dataset for K2O•2SiO2 glass

description: Raw and processed silicon-29 Magic-Angle Flipping Nuclear Magnetic Resonance dataset for K2O•2SiO2 glass from the publication "Q(n)-Species Distribution in K2O · 2 SiO2 Glass by 29Si Magic Angle Flipping NMR" in J. Phys. Chem. A,114, 5503-5508 (2010), by M. C. Davis, D. C. Kaseman, S. M. Parvani, K. J. Sanders, P. J. Grandinetti, D. Massiot, P. Florian Details of the csdf dataset format are given in <em>PLOS ONE,</em> 15(1): e0225953 (2020), "Core Scientific Dataset Model: A lightweight and portable model and file format for multi-dimensional scientific data," D. Srivastava, T. Vosegaard, D. Massiot, and P.J. Grandinetti. The data within csdf files can be accessed with the Python package csdmpy, or other CSDM-compliant software.
DOI: 10.5281/zenodo.3964614
title: Silicon-29 Magic-Angle Flipping Nuclear Magnetic Resonance dataset for K2O•2SiO2 glass

description: Raw and processed silicon-29 Magic-Angle Flipping Nuclear Magnetic Resonance dataset for K2O•2SiO2 glass from the publication "Q(n)-Species Distribution in K2O · 2 SiO2 Glass by 29Si Magic Angle Flipping NMR" in J. Phys. Chem. A,114, 5503-5508 (2010), by M. C. Davis, D. C. Kaseman, S. M. Parvani, K. J. Sanders, P. J. Grandinetti, D. Massiot, P. Florian Details of the csdf dataset format are given in <em>PLOS ONE,</em> 15(1): e0225953 (2020), "Core Scientific Dataset Model: A lightweight and portable model and file format for multi-dimensional scientific data," D. Srivastava, T. Vosegaard, D. Massiot, and P.J. Grandinetti. The data within csdf files can be accessed with the Python package csdmpy, or other CSDM-compliant software.
DOI: 10.17632/zkj5cj76n9.1
title: Data for: An analysis on a multiple spurious operation scenario of PHWR in Korea utilizing analysis guidelines of Nuclear Power Plants in U.S.

description: Multiple spurious operation (MSO) means multiple fire induced circuit faults causing an undesired operation of one or more systems or components. The Nuclear Energy Institute (NEI) published NEI 00-01 as analyses and guidelines for solving these problems of MSO. And this guideline includes MSO scenarios of pressurized water reactor (PWR) and boiling water reactor (BWR). Nuclear operators in U.S. performed analyses on MSO based on the MSO scenarios included in NEI 00-01 and and have done them by applying the same guidelines even in PWR in Korea. MSO scenarios of pressurized heavy water reactor (PHWR) are not included in NEI 00-01 because there are no ones in U.S. and the reasonable scenarios have not been developed until now. This paper developed a MSO scenario which can be applied to PHWR by reviewing the 62 MSO scenarios included in NEI 00-01. The analytical results have found that the applicable scenarios are 7 among 62 ones and additional 3 new scenarios had been developed.
DOI: 10.5281/zenodo.3964531
title: Silicon-29 NMR Experimental Datasets used in Statistical Learning of NMR tensors from 2D Isotropic/Anisotropic Correlation Nuclear Magnetic Resonance Spectra

description: Processed silicon-29 Magic-Angle Flipping and Magic-Angle Turning Nuclear Magnetic Resonance used as input to the smooth-LASSO linear inversion algorithm described in submitted manuscript "Statistical Learning of NMR tensors from 2D Isotropic/Anisotropic Correlation Nuclear Magnetic Resonance Spectra", by Srivastava and Grandinetti. Details of the csdf dataset format are given in <em>PLOS ONE,</em> 15(1): e0225953 (2020), "Core Scientific Dataset Model: A lightweight and portable model and file format for multi-dimensional scientific data," D. Srivastava, T. Vosegaard, D. Massiot, and P.J. Grandinetti. The data within csdf files can be accessed with the Python package csdmpy, or other CSDM-compliant software.
DOI: 10.25345/c5j341
title: MassIVE MSV000083989 - GNPS - Discovery of lipid peroxidation inhibitors from Bacopa species
title: 59 extracts from three Bacopa species of B. monnieri, B. caroliniana and 	B. floribunda
DOI: 10.17632/vx4yw5ntnb.2
title: Computerized 3D-CT texture analysis of pancreas for the assessment of patients with diabetes

description: 3D-CT texture analysis of pancreas parenchyma, reference raw dataset
DOI: 10.5281/zenodo.3247742
title: martini-3.0.b.3.2 - 2ka1

description: Simulation dimer 2ka1 using martini-3.0.b.3.2 force field
DOI: 10.5281/zenodo.3247743
title: martini-3.0.b.3.2 - 2ka1

description: Simulation dimer 2ka1 using martini-3.0.b.3.2 force field
DOI: 10.5281/zenodo.3247744
title: martini-3.0.b.3.2 - 2k9j

description: Simulation dimer 2k9j using martini-3.0.b.3.2 force field
DOI: 10.5281/zenodo.3247745
title: martini-3.0.b.3.2 - 2k9j

description: Simulation dimer 2k9j using martini-3.0.b.3.2 force field
DOI: 10.5281/zenodo.3247746
title: martini-3.0.b.3.2 - 1afo

description: Simulation dimer 1afo using martini-3.0.b.3.2 force field
DOI: 10.5281/zenodo.3247747
title: martini-3.0.b.3.2 - 1afo

description: Simulation dimer 1afo using martini-3.0.b.3.2 force field
DOI: 10.17632/ywc5wp7myn.1
title: Darker skin color is associated with a lower likelihood of smoking cessation among men but not women
DOI: 10.26183/5d08864d08ff1
title: Data from the project: Efficacy beliefs in a project-based learning setting
DOI: 10.17632/5m57thg9dv.2
title: Electrical Conductivity Analysis of Volcanic Ash and Particle Shape data
DOI: 10.17632/mbfvv936s5.1
title: Data for "Rules of Origin and the Profitability of Trade Deflection"

description: You can find here the data necessary to replicate all the results of the paper "Rules of Origin and the Profitability of Trade Deflection".
DOI: 10.17632/zj644z4h2j.1
title: Data for: The impacts of agricultural windbreaks on avian communities and ecosystem services provisioning in the Bellbird Biological Corridor, Costa Rica

description: windbreak_ESdata description: Data for each site and scenario used in ecosystem services modeling to evaluate the effects of agricultural windbreaks on ecosystem services provisioning. Modeling was conducted using the Ecosystem Services Inventory and Identification (ESII) Tool. Dataset includes ecosystem services modeling outputs for simulated scenarios and site data used for mixed effects modeling. Metadata is included as a separate tab.
DOI: 10.17632/2fdmft845w.1
title: Aid Fragmentation and Effectiveness: What Do We Really Know?

description: Aid Fragmentation and Effectiveness: What do we Really Know? (With Katja Michaelowa, Axel Dreher, and Franziska Spörri), World Development 99 (11/ 2017) Summary Aid fragmentation is widely recognized as being detrimental to development outcomes. We reinvestigate the impact of fragmentation in the context of growth, bureaucratic policy, and education, focusing on a number of conceptually different indicators of fragmentation, and paying attention to potentially heterogeneous effects across countries, sectors, and channels of influence. Our systematic and detailed reexamination of existing empirical studies shows that this differentiation is crucial. In some sectors—such as primary education—donor concentration or limiting donor numbers appear to be detrimental rather than beneficial for development outcomes. In other areas, we find the expected negative effect, but only when we conceptualize fragmentation as a lack of lead donors (too limited concentration), rather than in terms of donor numbers. In all cases, sufficient initial administrative capacity in recipient countries prevents the negative and reinforces the positive effects of fragmentation. This stresses the importance of questioning the sweeping conclusions drawn by much of the previous literature. Based on what we currently know, generalizing judgments about the effect of aid fragmentation may be misleading.
DOI: 10.17632/vx4yw5ntnb.1
title: Computerized 3D-CT texture analysis of pancreas for the assessment of patients with diabetes

description: 3D-CT texture analysis of pancreas parenchyma, reference raw dataset
DOI: 10.17632/rhvymc2hx9.1
title: Research data for lakes on the QTP

description: This dataset contains lake area, precipitation, air temperature, evaporation ,glacier and permafrost datas in the endorheic basin on the Qinghai-Tibet Plateau since 2000
DOI: 10.17632/r79vg2ctr2.2
title: Data for: Microarray data on the comparison of transcript expression between normal and Pt-Delta RNAi embryos in the common house spider Parasteatoda tepidariorum
DOI: 10.17632/rhvymc2hx9.2
title: Research data for lakes on the QTP

description: This dataset contains lake area, precipitation, air temperature, evaporation ,glacier and permafrost datas in the endorheic basin on the Qinghai-Tibet Plateau since 2000
DOI: 10.17632/vs55cwssyh.2
title: OBIA4RTM Demonstration Data

description: This dataset provides sample data demonstrating the capacities of the OBIA4RTM tool. OBIA4RTM combines radiative transfer modelling (RTM) of vegetation with object-based image analysis (OBIA). Its main purpose is to provide vegetation parameters such as Leaf Area Index (LAI) or leaf Chlorophyll a+b content (CAB) on a per-object rather than per pixel base. In this dataset, the OBIA4RTM tool was applied to two Sentinel-2 scenes covering an agricultural area in Southern Germany. Field parcels were used as image objects that were delineated from high-resolution ortho-photography and classified into vegetated and non-vegetated parcels using a Support Vector Machine trained on manually selected samples. For each of the two scenes - dating back on the 6th and 18th of July 2017 - the canopy RTM ProSAIL was run in forward mode and the synthetic spectra stored in a Lookup-Table (LUT). For parameter retrieval, the 5 closest matches between spectra in the LUT and a given observed satellite spectrum averaged per parcel were used. Matches were found in terms of the lowest Root Mean Squared Error (RMSE). The utilized vegetation parameterisation is provided additionally. The results include the Leaf Area Index (LAI), the Chlorophyll a+b content (CAB) of leaves and the fraction of brown leaves (Cbrown). In addition, the retrieval error in terms of RMSE is provided together with the average of the 5 best matching synthetic spectra in the LUT to a given object-based spectrum. This allows for evaluating the quality of the inversion results and enables user to further improve the results by applying a more appropiate vegetation parameterisation. The structure of the dataset (see below) is straightforward: - The "Field Parcels" folder contains an ESRI shapefile with the field parcels as well as the classification results for the two image acquisition dates - The "ProSAIL Parametersisation" directory provides the vegetation parameters used to run the ProSAIL model. - The actual results are stored as ESRI-shapefiles in "Retrieved Vegetation Parameters" folder containing the LAI, CAB, Fraction of brown leaves and the RMSE as well as inverted Sentinel-2 spectra - "Sentinel-2 data" contains the utilized Sentinel-2 data as GeoTiff clipped to the study area in Level-2A This information should allow for reproducing the results using the freely available base version of OBIA4RTM (for research and education) or within other software packages. All geodata is projected in UTM-Zone 32N, WGS-84.
DOI: 10.5281/zenodo.3242831
title: Data and code for training neural network parameterizations from an near-global aqua-planet simulation

description: This commit contains the code, coarse-grained data, processed training data, neural network models, and coupled NN-GCM simulations. It can be extracted by running

<pre><code>tar xzf &lt;archive&gt;</code></pre>

While this archive contains code (it is slightly out of date). This is the up-to-date code: https://zenodo.org/record/3248586

Move the "nn", "debiased",  and "data" folders from this archive into that code directory.
DOI: 10.5281/zenodo.3242832
title: Data and code for training neural network parameterizations from an near-global aqua-planet simulation

description: This commit contains the code, coarse-grained data, processed training data, neural network models, and coupled NN-GCM simulations. It can be extracted by running

<pre><code>tar xzf &lt;archive&gt;</code></pre>

While this archive contains code (it is slightly out of date). This is the up-to-date code: https://zenodo.org/record/3248586

Move the "nn", "debiased",  and "data" folders from this archive into that code directory.
DOI: 10.17632/77ms78n3hj.1
title: Datasets for the paper "Ensemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators"

description: Datasets for supervised learning problem (SLP) and data assimilation (DA) problem, respectively, in the paper "Ensemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators". The preprint of the paper is available from https://arxiv.org/abs/1901.10758
DOI: 10.17632/95m8sfd3kt.1
title: Dysbiosis associated with acute helminth infections in herbivorous youngstock – observations and implications
DOI: 10.17632/4thzvmsbwy.2
title: ADE in risky choice

description: Experimental Data
DOI: 10.17632/fw929dkt9m.1
title: PAR Vielsalm 1997-2014

description: 3D matrix with PAR half-hourly data above (second column) and under the canopy (from the third to the last column). The first column gives the date (from the first half-hour of the 1st January 1997 to the last half-hour of 31st January 2014. Data were collected at the Vielsalm station, an eddy covariance site located in a mature beech-dominated forest in east Belgium.
DOI: 10.17632/mcfmdzjm6d.1
title: Solution of the Klein-Gordon-Fock equation

description: Supplementary material to the article containing the problem’s solution file with the solution algorithm, the final formula for the desired function, graphical results, and an assessment of the basic equation and uniqueness conditions discrepancies
DOI: 10.17632/vw3dv7c7tz.1
title: RAWDATA_MColomer_Cognition

description: RAWDATA of the study "Language background shapes third-party communication expectations in 14-month-old infants" tested in Universitat Pompeu Fabra by Marc Colomer and Núria Sebastian-Galles. The file includes looking times at the screen for each participant in each test outcome, plus all the information related with each participant: Language group, sex, age, Looking time during familiarization, reason of rejection, list number, etc. The file also includes the coding data of the first author and the main coder, plus a sheet where the critical variables are explained
DOI: 10.17632/ccpnbbm3rc.1
title: Lichenoid granulomatous dermatitis revisited: a retrospective case series - Table 3

description: Table 3: Previous series and reports of lichenoid granulomatous dermatitis
DOI: 10.17632/v4f2nnc8sn.1
title: Electroencephalography features enhancement based on electrodes activity ratio for biometric identification

description: this data contains the Matlab codes required to regenerate experiments for person identification using EEG signals acquired from publicly available raw edf. files for 109 subject with 6 different tasks, the raw files could be found here https://physionet.org/pn4/eegmmidb/. the codes help to process the raw data till final classification accuracy results. Further, all processed tables for all experiments are provided.
DOI: 10.17632/pn8k5xp37c.1
title: University dropout experiment

description: trainingDataset.csv - data to train the decision tree model (DT) built in the research testDataset.csv - data to test the DT model rulesDataset: data to generate the association rules for the research DT_model_script.r - R script to build the DT model and test it Rules_script.r - R script to build association rules for the research