cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.2658090
title: Rhodamine fluorometry fixed location data Alfacs bay

description: Rhodamine dye was released from a waste water outfall in Alfacs Bay, Catalonia. This dye has a strong red/pink colour and can be used to trace the movement of the waster water plume. These fluorimetry data were generated using fluorimeters that were in fixed locations and measured the rhodamine concentrations over 96 hours. Times are Central European Time (GMT+1)
DOI: 10.5281/zenodo.2647508
title: Kinematically collected reference fingerprint map (RFM) with the high precision tracking system for feature-based indoor positioning

description: The offline referencing phase, one of the core phases of the fingerprinting-based indoor positioning system (FIPS), is the key stage for deploying the positioning system. The reference fingerprint map (RFM) is acquired for representing the relationship between location-relevant features and the corresponding locations and used for inferring the user’s location at the online stage. The kinematically collecting the RFM using the mobile device with the help of high precision tracking system is contributed to the community for benchmarking comparison of the indoor positioning performance.  The detailed description of the data is cooming soon.<br>
DOI: 10.5281/zenodo.2647507
title: Kinematically collected reference fingerprint map (RFM) with the high precision tracking system for feature-based indoor positioning

description: The offline referencing phase, one of the core phases of the fingerprinting-based indoor positioning system (FIPS), is the key stage for deploying the positioning system. The reference fingerprint map (RFM) is acquired for representing the relationship between location-relevant features and the corresponding locations and used for inferring the user’s location at the online stage. The kinematically collecting the RFM using the mobile device with the help of high precision tracking system is contributed to the community for benchmarking comparison of the indoor positioning performance.  The detailed description of the data is cooming soon.<br>
DOI: 10.20393/1b6fed63-4d4b-40f5-9473-32e8210e605a
title: Historical Atlantic salmon pedigree for the Burrishoole catchment, Co. Mayo, and associated quantitative genetic analyses

description: The Marine Institute (formerly the Salmon Research Agency of Ireland and the Salmon Research Trust of Ireland) operate permanent complete fish traps in the Burrishoole catchment, Co. Mayo, as part of a program of long term ecological research (LTER). All migrating diadromous fish are enumerated between their marine and freshwater habitats. This dataset contains genetic and phenotypic data associated with Atlantic salmon (Salmo salar L.) sampled in the Burrishoole fish traps.  The R code used in the analyses is included, and can be used to repeat the analysis presented in: O’Sullivan et al., (In Press). Evolutionary stasis of a heritable morphological trait in a wild fish population despite apparent directional selection. Ecology and Evolution.
DOI: 10.5525/gla.researchdata.796
title: Stuck at the bar: the imprint of large grain lag deposits upon contemporary river morphodynamics

description: Large grains in gravel-bed rivers exert a distinctive influence upon fluvial morphodynamics and flow resistance. Lag deposits are immobile during channel-forming flows. They are products of historical contingency; sourced from river geomorphic and anthropogenic disturbance events that supply atypically coarse material to a river. Such materials cannot be reworked by a river’s contemporary processes. Lag deposits from material sourced from the reworking of material deposited during lahars are emblematic attributes of the Tongariro River, New Zealand. The influence of large grain lag deposits on fluvial morphodynamics at bar heads can be conceptualised across time and space. These materials influence sediment entrainment and transport, hydraulics and habitat, geomorphic unit assemblage and persistence, and long profile evolution. Further recognition of the role of large grain lag deposits is required when assessing landform stability, incorporating the influence of past events within multi-grain size numerical morphodynamic models of landscape evolution
DOI: 10.5281/zenodo.2658116
title: Transportation infrastructures in a low carbon world: An evaluation of investment needs and their determinants

description: Output data from Fisch-Romito,V., Guivarch C., 2019, Transportation infrastructures in a low carbon world: An evaluation of investment needs and their determinants, Transportation Research Part D
DOI: 10.5281/zenodo.2658117
title: Transportation infrastructures in a low carbon world: An evaluation of investment needs and their determinants

description: Output data from Fisch-Romito,V., Guivarch C., 2019, Transportation infrastructures in a low carbon world: An evaluation of investment needs and their determinants, Transportation Research Part D
DOI: 10.5061/dryad.v7fp8ms/1
title: Environmental and fern species data for Amazonian plots

description: Species and soil data were collected in the field by the researchers mentioned as data providers for each plot. Reflectance data come from a Landsat TM/ETM+ image composite based on images acquired in 2000-2009 and processed using R code written by Jasper Van doninck. CHELSA and SRTM data come from respective online portals. See README file for explanation of the data contained in each column.
DOI: 10.5281/zenodo.2648155
title: FESOM model results

description: control: the hindcast simulation using interannually varying atmospheric forcing (IAVF).

AO: In the Arctic Ocean the IAVF is used. Outside the Arctic Ocean the normal year forcing (NYF) is used. The NYF is repeatedly used for every year.

nAO:In the Arctic Ocean the NYF is used. Outside the Arctic Ocean the IAVF is used.

AO_w: the same as AO but the atmospheric buoyancy forcing in the Arctic Ocean is changed to the NYF.

nAO_w: the same as nAO but the atmospheric buoyancy forcing outside the Arctic Ocean is changed to the NYF.

vtransp: volume transport through Bering Strait.

fwtransp: freshwater transport through Bering Strait.

Htransp: heat transport through Bering Strait.

slp_yr: annual mean sea level pressure.

ssh_yr: annual mean sea surface high.

Ekmantransp_tx: Ekman transport component in the x direction.

Ekmantransp_ty: Ekman transport component in the y direction.

min: years with low Bering Strait throughflow.

max: years with high Bering Strait throughflow.

temp_diff_0-50m: the difference of temperature between years with high and low Bering Strait throughflow.

salt_diff_0-50m: the difference of salinity between years with high and low Bering Strait throughflow.
DOI: 10.5281/zenodo.2648156
title: FESOM model results

description: control: the hindcast simulation using interannually varying atmospheric forcing (IAVF).

AO: In the Arctic Ocean the IAVF is used. Outside the Arctic Ocean the normal year forcing (NYF) is used. The NYF is repeatedly used for every year.

nAO:In the Arctic Ocean the NYF is used. Outside the Arctic Ocean the IAVF is used.

AO_w: the same as AO but the atmospheric buoyancy forcing in the Arctic Ocean is changed to the NYF.

nAO_w: the same as nAO but the atmospheric buoyancy forcing outside the Arctic Ocean is changed to the NYF.

vtransp: volume transport through Bering Strait.

fwtransp: freshwater transport through Bering Strait.

Htransp: heat transport through Bering Strait.

slp_yr: annual mean sea level pressure.

ssh_yr: annual mean sea surface high.

Ekmantransp_tx: Ekman transport component in the x direction.

Ekmantransp_ty: Ekman transport component in the y direction.

min: years with low Bering Strait throughflow.

max: years with high Bering Strait throughflow.

temp_diff_0-50m: the difference of temperature between years with high and low Bering Strait throughflow.

salt_diff_0-50m: the difference of salinity between years with high and low Bering Strait throughflow.
DOI: 10.5281/zenodo.2657355
title: PhD_Study1_CallawayReplication_Original_EEGDataset

description: Original EEG dataset of the first study of my PhD on visual perception and alpha-phase in a real-time setup. The study is an adaptation of Callaway and Yeager (1960)'s study in Science. The dataset for each participant contains three types of dataset: <strong>IAF dataset.</strong> Dataset from a 5min recording with the eyes closed to calculate the Individual Alpha Frequency (IAF). <strong>MCS dataset</strong>. Dataset containing data from a multiple constant stimuli (MCS) paradigm targetting 10 equally spaced bins along the whole alpha cycle. <strong>BCS dataset</strong>. Dataset containing data from a binary constant stimuli (BCS) paradigm targetting the associated fast/slow bins along the alpha cycle selected from the MCS dataset. In addition, the variables extracted in each part of the experimental session (MCS and BCS) are included in MATLAB format.
description: {"references": ["Callaway and Yeager (1960). Relationship between RT and EEG alpha-phase (https://science.sciencemag.org/content/132/3441/1765.full)"]}
DOI: 10.5281/zenodo.2657356
title: PhD_Study1_CallawayReplication_Original_EEGDataset

description: Original EEG dataset of the first study of my PhD on visual perception and alpha-phase in a real-time setup. The study is an adaptation of Callaway and Yeager (1960)'s study in Science.

The dataset for each participant contains three types of dataset:


	<strong>IAF dataset.</strong> Dataset from a 5min recording with the eyes closed to calculate the Individual Alpha Frequency (IAF).
	<strong>MCS dataset</strong>. Dataset containing data from a multiple constant stimuli (MCS) paradigm targetting 10 equally spaced bins along the whole alpha cycle.
	<strong>BCS dataset</strong>. Dataset containing data from a binary constant stimuli (BCS) paradigm targetting the associated fast/slow bins along the alpha cycle selected from the MCS dataset.
description: {"references": ["Callaway and Yeager (1960). Relationship between RT and EEG alpha-phase (https://science.sciencemag.org/content/132/3441/1765.full)"]}
DOI: 10.5061/dryad.k4v262p/3
title: SBK traits

description: Mean traits for species at the Sevilleta black grama site.
DOI: 10.17632/fdnb2kyz4f.1
title: Data for: Characterization of Choroidal Nevi with Dark Field Infrared Scanning Laser Ophthalmoscopy

description: Dark field scanning laser ophthalmoscopy, en face optical coherence tomography and color fundus photography images of patients with choroidal nevi and healthy volunteers which were used in the analysis of the sensitivity and specificity of all three methods and for measurements of the nevi area.
DOI: 10.3886/e109425v1-11461
title: Why are the early elementary race/ethnicity test score gaps in science larger than those in reading or mathematics? National evidence on the importance of language and immigration context in explaining the gap-in-gaps.

description: Citation for Published Paper:Curran, F. C., & Kitchin, J. (2018). Why are the early elementary race/ethnicity test score gaps in science larger than those in reading or mathematics? National evidence on the importance of language and immigration context in explaining the gap-in-gaps.  Science Education. Online First. <br>Abstract:Recent work examining science test performance in the earliest grades of
 school has demonstrated that science test score gaps by race/ethnicity 
are apparent as early as kindergarten and that, in a number of cases, 
the racial/ethnic test score gaps in science are significantly larger 
than the corresponding gaps in reading or mathematics. This study 
explores the factors that explain the differences in the magnitudes of 
racial/ethnic disparities in performance on science standardized tests 
as compared to those in reading/mathematics. Drawing on nationally 
representative data from over 10,000 kindergartners in the 2010â¿¿2011 
school year, this study employs regression models that examine the 
explanatory power of nine conceptual domains for explaining the 
â¿¿gap-in-gapsâ¿ or test score gap differences in science relative to 
mathematics or reading. Results indicate that the gap-in-gaps is 
relatively unchanged by the inclusion of many conceptual domains but 
that students' language and immigration contexts do explain substantial 
portions of the gap-in-gaps for Hispanic and Asian students. 
Implications for policy and practice are discussed.<br><br>
DOI: 10.5061/dryad.qn3287b/1
title: Dryad Item 10.5061/DRYAD.QN3287B/1

description: (:tba)
DOI: 10.5061/dryad.qn3287b/2
title: Dryad Item 10.5061/DRYAD.QN3287B/2

description: (:tba)
DOI: 10.5061/dryad.qn3287b/3
title: Dryad Item 10.5061/DRYAD.QN3287B/3

description: (:tba)
DOI: 10.5061/dryad.qn3287b/4
title: Dryad Item 10.5061/DRYAD.QN3287B/4

description: (:tba)
DOI: 10.5281/zenodo.2657639
title: Multirotor with two arms: multirotor/arms interaction

description: Unlike fixed base manipulators, in an aerial manipulation robot the reaction wrenches caused by the motion of the arms or the physical interactions raised on flight are supported by the aerial platform, causing typically undesired oscillations in the attitude or deviations in the position that may complicate the realization of grasping tasks or installation operations. Since it is difficult to appreciate this effect on flight due to the action of the autopilot and the noise generated by the propellers, the goal of this dataset is to analyze qualitatively the effect of the motion of a dual arm manipulator over the attitude of a multirotor platform supported by wires, emulating hovering conditions. In particular, it is interesting to evaluate the partial reaction compensation capability of a dual arm manipulator, generating coordinated symmetric trajectories to cancel the reactions in two axes (roll and yaw). The data logs also reveal how the reaction oscillation in the multirotor is higher as the velocity/acceleration of the arms increases.

This dataset is obtained with the dual arm aerial manipulator (DJI Matrice 600 hexarotor equipped with USE dual arm) hanging from four cables attached to the multirotor base emulating hovering conditions. Although the datasets presented here were obtained with a particular platform and dual arm manipulator, these may result of interest for a preliminary analysis of the dynamic coupling effect. The orientation data was obtained with a STM32F3 Discovery board attached to the multirotor base, providing the measurements from the accelerometer, gyroscope and magnetometer sensors. The arms are built with the Herkulex DRS-0402 and DRS-0602 servos and a customized aluminium frame structure. The experiments consist of generating a sequence of rotations around the shoulder pitch and shoulder yaw joints with one arm (non-compensated reaction wrenches) and with both arms (partial reaction compensation), considering different joint speeds. The measurement given by the gyroscope in the roll-pitch-yaw angles is evaluated to analyze the amplitude of the reaction wrenches.
DOI: 10.5281/zenodo.2657640
title: Multirotor with two arms: multirotor/arms interaction

description: Unlike fixed base manipulators, in an aerial manipulation robot the reaction wrenches caused by the motion of the arms or the physical interactions raised on flight are supported by the aerial platform, causing typically undesired oscillations in the attitude or deviations in the position that may complicate the realization of grasping tasks or installation operations. Since it is difficult to appreciate this effect on flight due to the action of the autopilot and the noise generated by the propellers, the goal of this dataset is to analyze qualitatively the effect of the motion of a dual arm manipulator over the attitude of a multirotor platform supported by wires, emulating hovering conditions. In particular, it is interesting to evaluate the partial reaction compensation capability of a dual arm manipulator, generating coordinated symmetric trajectories to cancel the reactions in two axes (roll and yaw). The data logs also reveal how the reaction oscillation in the multirotor is higher as the velocity/acceleration of the arms increases.

This dataset is obtained with the dual arm aerial manipulator (DJI Matrice 600 hexarotor equipped with USE dual arm) hanging from four cables attached to the multirotor base emulating hovering conditions. Although the datasets presented here were obtained with a particular platform and dual arm manipulator, these may result of interest for a preliminary analysis of the dynamic coupling effect. The orientation data was obtained with a STM32F3 Discovery board attached to the multirotor base, providing the measurements from the accelerometer, gyroscope and magnetometer sensors. The arms are built with the Herkulex DRS-0402 and DRS-0602 servos and a customized aluminium frame structure. The experiments consist of generating a sequence of rotations around the shoulder pitch and shoulder yaw joints with one arm (non-compensated reaction wrenches) and with both arms (partial reaction compensation), considering different joint speeds. The measurement given by the gyroscope in the roll-pitch-yaw angles is evaluated to analyze the amplitude of the reaction wrenches.
DOI: 10.5061/dryad.qn3287b/5
title: Dryad Item 10.5061/DRYAD.QN3287B/5

description: (:tba)
DOI: 10.5061/dryad.qn3287b/6
title: Dryad Item 10.5061/DRYAD.QN3287B/6

description: (:tba)
DOI: 10.5061/dryad.qn3287b/7
title: Dryad Item 10.5061/DRYAD.QN3287B/7

description: (:tba)
DOI: 10.5281/zenodo.2658628
title: PhD_Study1_CallawayReplication_Dataset

description: Dataset of the first study of my PhD on visual perception and alpha-phase in a real-time setup. The study is an adaptation of Callaway and Yeager (1960)'s study in Science. The dataset contains two types of data for each participant: <strong>RAW DATA</strong> EEG datasets in FieldTrip format from the following sessions: <strong>IAF dataset.</strong> Dataset from a 5min recording with the eyes closed to calculate the Individual Alpha Frequency (IAF). <strong>MCS dataset</strong>. Dataset containing data from a multiple constant stimuli (MCS) paradigm targetting 10 equally spaced bins along the whole alpha cycle. <strong>BCS dataset</strong>. Dataset containing data from a binary constant stimuli (BCS) paradigm targetting the associated fast/slow bins along the alpha cycle selected from the MCS dataset. <strong>ONLINE DATA</strong> Data acquired from the real-time EEG-based system recorded in MATLAB. There is information about each block in both MCS and BCS part of the experiment, together with the IAF used for each participant.
DOI: 10.5281/zenodo.2658629
title: PhD_Study1_CallawayReplication_Dataset

description: Dataset of the first study of my PhD on visual perception and alpha-phase in a real-time setup. The study is an adaptation of Callaway and Yeager (1960)'s study in Science.

The dataset contains two types of data for each participant:

<strong>RAW DATA</strong>

EEG datasets in FieldTrip format from the following sessions:


	<strong>IAF dataset.</strong> Dataset from a 5min recording with the eyes closed to calculate the Individual Alpha Frequency (IAF).
	<strong>MCS dataset</strong>. Dataset containing data from a multiple constant stimuli (MCS) paradigm targetting 10 equally spaced bins along the whole alpha cycle.
	<strong>BCS dataset</strong>. Dataset containing data from a binary constant stimuli (BCS) paradigm targetting the associated fast/slow bins along the alpha cycle selected from the MCS dataset.


<strong>ONLINE DATA</strong>

Data acquired from the real-time EEG-based system recorded in MATLAB. There is information about each block in both MCS and BCS part of the experiment, together with the IAF used for each participant.
DOI: 10.5281/zenodo.2658632
title: PhD_Study1_CallawayReplication_Original_EEGDataset

description: Original EEG dataset of the first study of my PhD on visual perception and alpha-phase in a real-time setup. The study is an adaptation of Callaway and Yeager (1960)'s study in Science.

The dataset for each participant contains three types of dataset:


	<strong>IAF dataset.</strong> Dataset from a 5min recording with the eyes closed to calculate the Individual Alpha Frequency (IAF).
	<strong>MCS dataset</strong>. Dataset containing data from a multiple constant stimuli (MCS) paradigm targetting 10 equally spaced bins along the whole alpha cycle.
	<strong>BCS dataset</strong>. Dataset containing data from a binary constant stimuli (BCS) paradigm targetting the associated fast/slow bins along the alpha cycle selected from the MCS dataset.


In addition, the variables extracted in each part of the experimental session (MCS and BCS) are included in MATLAB format.
description: {"references": ["Callaway and Yeager (1960). Relationship between RT and EEG alpha-phase (https://science.sciencemag.org/content/132/3441/1765.full)"]}
DOI: 10.6073/pasta/e738b6d10d8e56ffb59f4b848bd36233
title: White Pine Needle Decline in Walden Woods and Weston MA 2017-2018

description: White Pine Needle Decline (WPND) is a suite of four fungal pathogens that attack third, second and in extreme cases first year needles of eastern white pine (Pinus strobus). Premature needle shedding reduces photosynthetic activity and in turn reduces growth rates and overall health of the eastern white pine, an ecologically and economically valuable species in the Northeast United States.
        Our long-term forest dynamics plots in Weston and Walden Woods are ideal for monitoring these pathogens’ effects on overstory and understory pine.  The unique aspect of our study sites is the dense population of understory pine. Many of our plots are typical old-field white pine stands and are densely stocked from lack of cutting.  Densely stocked stands have been shown to be more affected by WPND than more open stands (McIntire, 2017).
DOI: 10.6073/pasta/e4e2a6548856ca2b23fa7b298e8f5d4a
title: Impacts of Hemlock Woolly Adelgid After Preventative Treatment in Lincoln MA 2015-2018

description: In 2007 the town of Lincoln, MA treated the hemlock stand at the Codman estate with root injections of imidacloprid to suppress the invasive insect Hemlock Wooly Adelgid (HWA).  This hemlock grove is unique for this area of Massachusetts and dominated by eastern hemlock of approximately 2 feet in diameter with many trees reaching heights of over 120 feet.  The treatment goal was to conserve the trees and the stand’s cathedral-like characteristics.  To accomplish this goal, every big canopy tree was treated.
DOI: 10.15128/r2f1881k904
title: Generalised classification of fluvial scenes with deep learning methods [dataset]

description: This data is linked to code in the following GitHub repository:  https://github.com/geojames/Self-Supervised-Classification
description: The dataset is zipped in a single large file. Once downloaded, the internal file structure should be preserved since it partitions training and prediction (validation) data. The unzipped file structure is compatible with the source code available on GitHub.
description: This dataset supports the development of a deep learning classifier specialised in hyperspatial (&lt;10cm) resolution imagery of fluvial scenes such that can be obtained from a drone survey. The dataset has images from 11 rivers. this data is split into training and validation images, all with class label information totalling 5 billion classified pixels.
description: Deep learning
DOI: 10.15129/92b026cb-deb9-4b77-b875-717849b40fbd
title: Data for: "Anti-solvent addition at extreme conditions"

description: Data associated with preparation of paper. Details of the data are included in the pdf summary provided.