cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/9kcbt6jkjv.1
title: Images from Meso- and Bathypelagic Surveys in the Gully Marine Protected Area: V: Cephalopods

description: During 2007–10, Canada’s Department of Fisheries and Oceans conducted a series of four midwater-trawl surveys, at meso- and bathypelagic depths, in The Gully – a very large submarine canyon incised into the Scotian Shelf, immediately east of Sable Island, the core of which has been encompassed within a Marine Protected Area since 2004. The surveys followed a fixed-station, depth-stratified design, with replicate sets both in daylight and at night. Most sampling used International Young Gadoid Pelagic Trawls (IYGPTs) –open nets with 60 m² mouth area– worked on double-oblique profiles. From the 2008 survey, the trawls were fitted with rigid (“aquarium”) codends and successfully took a number of delicate specimens in exceptional condition. Full details of the field methodologies have been presented by Kenchington et al. (2009, 2014) , while a report on the cephalopods captured is in preparation. 

Anticipating that many rarely-seen species would be captured, a variety of camera systems were taken to sea on the Gully surveys and an attempt was made to capture images of every species taken, while the at-sea data-capture protocols emphasized visual recording of cephalopods – at least 38 species of which were captured. The resulting image collection has been catalogued and lightly edited (removing duplicates and unfocused or otherwise valueless images), while erring on the side of retaining any image that might prove useful in the future. Almost all of those retained are in their original formats and resolutions. The present collection includes the 402 catalogued images of cephalopods from all four surveys and a catalogue of them. Individual images are uniquely numbered (from S07001 to S07130, S08001 to S08014, S09001 to S09088 and S10001 to S10170 – the first two digits in each case indicating the survey year). There are corresponding entries in the catalogue, which presents the contents of each image (typically only a species name, though some entries have more details) and such other image-specific details as are available. Not all images can be linked to particular specimens but, for those which can be, catalogue entries include cross-references to the survey-program’s catch database, which provides further details on the specimens concerned.

All images © His Majesty the King in Right of Canada, 2022.

Amongst the named authors, the surveys were led by Trevor Kenchington, who also catalogued the images and, working with Cam Lirette, presented them here. Elizabeth Shea provided all specimen identifications, captured most of the images and assisted with their cataloguing. Other images were taken by Bill MacEachern, Kevin MacIsaac, Merlin Best or Andrew Cogswell.
DOI: 10.17632/k3tpvtpkwf.1
title: Occlusal trauma associated with pulpal calcification "surgical approach"

description: The effects of scaffolds in the field of regenerative endodontics today have been part of a great development and object of attention by research groups, however, with the advancement and discovery of them within our work we have found that between the different scaffolds such as PRF-PRP or blood clot it is feasible that there is no difference between them, therefore it is feasible that in the blood clot sufficient for the induction of the maintenance of viable dental pulp.
DOI: 10.34740/kaggle/dsv/4847597
title: International Football Results 1870 - 2022
DOI: 10.17632/24gkzbh2yp.1
title: Supplementary Materials for "Assessing the Skincare Needs of Asians on Reddit Dermatology Social Media Communities: An Observational Study"

description: Supplementary Materials for "Assessing the Skincare Needs of Asians on Reddit Dermatology Social Media Communities: An Observational Study"
DOI: 10.17632/2vnt5pw33j.1
title: INTENTION OF RURAL PRODUCERS TO USE SOCIAL MEDIA_SFAG_2022

description: Original Data Set of the research. A descriptive and quantitative research scheme, including a structured questionnaire adapted from previously-validated scales. Using data collected online from 281 rural producers in Brazil.
DOI: 10.6084/m9.figshare.21820254.v3
title: Complete ammonia oxidization in agricultural soils: high ammonia fertilizer loss but low N2O production.

description: The raw data used to create figures and tables in my paper.
DOI: 10.6084/m9.figshare.21820254.v4
title: Complete ammonia oxidization in agricultural soils: high ammonia fertilizer loss but low N2O production.

description: The raw data used to create figures and tables in my paper.
DOI: 10.17632/dd2m5x9tn9.1
title: Iterative structural coarse graining for propagation dynamic in complex network

description: Data as part of the article "Iterative structural coarse graining for propagation dynamic in complex network".
DOI: 10.17632/j4vf42jhkw.1
title: Decision Tree Algorithm - Sex and Comorbidities in gout

description: The figures show decision tree algorithms built to predict whether a patient with gout is male or female, considering age and comorbidities as decision-makers. Three different algorithms are given, with 6, 7, and 8 levels of decision. The accuracy score of the model was 74.4%.
DOI: 10.6084/m9.figshare.21820254.v5
title: Complete ammonia oxidization in agricultural soils: high ammonia fertilizer loss but low N2O production.

description: The raw data used to create figures and tables in my paper.
DOI: 10.21227/vgya-dn19
title: Personalised eLearning Recommendation system

description: eLearning, or online learning, has reached every corner of the globe in this era of digitization. As a result of the COVID-19 pandemic, the value of eLearning has increased substantially. In eLearning recommendation systems, information overload, personalised suggestion, sparsity, and accuracy are all major problems. The correct eLearning Recommendation System is necessary to tailor the course recommendation according to the user's needs. To create this model, dataset of the User Profile and User Rating is needed. The User Profile dataset is created by using the Calyxpod programme to collect student profiles. User requirements are available through these profiles. The dataset obtained by gathering student comments following course completion is in the range of 1 (lowest) to 5 (highest).
DOI: 10.17632/rbgx99ym6j.1
title: Tetranychus urticae, Aphididae and Healty leaf Dataset for Crop Pest Recognition (4185 images)

description: This dataset is a sample of 4188 images for clases Tetranychus urticae, Aphididae and Healty leaf, composed by three datasets:

1) Huang, Mei-Ling, Chuang Tzu Chin. (2020). A database of eight common tomato pest images, Mendeley Data, V1, doi: 10.17632/s62zm6djd2.1
2) Parraga-Alava Jorge, Cusme Kevin, Loor Angélica, Santander Esneider. (2019). RoCoLe: A robusta coffee leaf images dataset, Mendeley Data, V2, doi: 10.17632/c5yvn32dzg.2
3) Randomly chosen images from the internet and a proprietary dataset of photos taken with a smartphone in different nurseries in the City of Colima and in ORNACOL (https://ornacol.com/) nurseries. It was preferred that the images of the sample were clear, during the day, without any treatment by any type of software.
DOI: 10.17632/rbgx99ym6j.2
title: Tetranychus urticae, Aphididae and Healty leaf Dataset for Crop Pest Recognition (4185 images)

description: This dataset is a sample of 4185 images for clases Tetranychus urticae, Aphididae and Healty leaf, composed by three datasets:

1) Huang, Mei-Ling, Chuang Tzu Chin. (2020). A database of eight common tomato pest images, Mendeley Data, V1, doi: 10.17632/s62zm6djd2.1
2) Parraga-Alava Jorge, Cusme Kevin, Loor Angélica, Santander Esneider. (2019). RoCoLe: A robusta coffee leaf images dataset, Mendeley Data, V2, doi: 10.17632/c5yvn32dzg.2
3) Randomly chosen images from the internet and a proprietary dataset of photos taken with a smartphone in different nurseries in the City of Colima and in ORNACOL (https://ornacol.com/) nurseries. It was preferred that the images of the sample were clear, during the day, without any treatment by any type of software.
DOI: 10.17632/p5gfdv6skr.1
title: Engineered cardiac tissue model of restrictive cardiomyopathy for drug discovery

description: Raw data, statistical tests and graphs generated for the manuscript
DOI: 10.17632/wfgzw27pvg.1
title: Sustainable employability of emergency nurses

description: SPSS data about demographic variables, job demands and resources, capabilities and functioning of emergency nurses in a south African sample.
DOI: 10.17632/9kvk7nkhx6.2
title: Annotated Infant Fundus Images for Object Detection of Key Structures (Optic Disk and Macula)

description: The data set contains fundus images for object detection research. Some images have clipped corners (patient info watermark is printed in this area) to ensure they are de-identified. All images are annotated by one senior pediatric ophthalmologist in SEH (Shenzhen Eye Hospital). An image annotation tool is developed based on the "VGG Image Annotator (VIA)" tool from the University of Oxford.The tool is included in this repository. The optic disk and macula in each fundus image are annotated by rectangular bounding boxes. This repository also contains related materials for our case study on this data set.
DOI: 10.17632/9kvk7nkhx6.3
title: Annotated Infant Fundus Images for Object Detection of Key Structures (Optic Disk and Macula)

description: The data set contains fundus images for object detection research.
Some images have clipped corners (patient info watermark is printed in this area) to ensure they are de-identified.
All images are annotated by one senior pediatric ophthalmologist in SEH (Shenzhen Eye Hospital).
An image annotation tool is developed based on the "VGG Image Annotator (VIA)" tool from the University of Oxford.The tool is included in this repository.
The optic disk and macula in each fundus image are annotated by rectangular bounding boxes.
This repository also contains related materials for our case study on this data set.
DOI: 10.17632/9kvk7nkhx6.1
title: Annotated Infant Fundus Images for Object Detection of Key Structures (Optic Disk and Macula)

description: The data set contains fundus images for object detection research. Some images have clipped corners (patient info watermark is printed in this area) to ensure they are de-identified. All images are annotated by one senior pediatric ophthalmologist in SEH (Shenzhen Eye Hospital). An image annotation tool is developed based on the "VGG Image Annotator (VIA)" tool from the University of Oxford.The tool is included in this repository. The optic disk and macula in each fundus image are annotated by rectangular bounding boxes. This repository also contains related materials for our case study on this data set.
DOI: 10.17632/9kvk7nkhx6.4
title: Annotated Infant Fundus Images for Object Detection of Key Structures (Optic Disk and Macula)

description: The data set contains fundus images for object detection research.
Some images have clipped corners (patient info watermark is printed in this area) to ensure they are de-identified.
All images are annotated by one senior pediatric ophthalmologist in SEH (Shenzhen Eye Hospital).
An image annotation tool is developed based on the "VGG Image Annotator (VIA)" tool from the University of Oxford.The tool is included in this repository.
The optic disk and macula in each fundus image are annotated by rectangular bounding boxes.
This repository also contains related materials for our case study on this data set.

Cite this article if you use this dataset:
Y. Zhang et al., "Morphological Rule-Constrained Object Detection of Key Structures in Infant Fundus Image," in IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023, doi: 10.1109/TCBB.2023.3234100.
DOI: 10.17632/mkbfp7czsk.1
title: Does automatic wage indexation destroy jobs? A machine learning approach. 

description: Python machine learning code for paper "Does automatic wage indexation destroy jobs? A machine learning approach." 
Bijnens, G., Karimov, S., & Konings, J. (2023). Does automatic wage indexation destroy jobs? A machine learning approach. De Economist, forthcoming.
DOI: 10.17632/xpkrcntnd6.1
title: Differentially expressed peptides during different fermentation stages of sufu

description: Differentially expressed peptides during different fermentation stages of sufu
DOI: 10.17632/yxp27xmrbk.1
title: LINF_350006700

description: hypothetical protein - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/hwc5wfbvj9.1
title: Titan conductivities (Cassini)

description: This is the dataset for the article "Conductivities of Titan's dusty ionosphere", Journal of Geophysical Research: Space Physics, DOI: 
Please see the article for the description and references for data derivations.

ephemerides.xlsx contents (one flyby per sheet):
UTC time stamp
altitude [km] altitude above Titan surface
sc_Velocity [km/s] magnitude of Cassini spacecraft velocity
Solar_Zenith_Angle [degrees] angle from the Sun direction (X-axis in solar ecliptic coordinates)
sub_solar_lat [degrees] of sub-solar latitude (i.e. Titan geographic latitude where Sun is in zenith)
Saturn_Local_time [hours] azimuthal coordinate of Cassini with respect to Saturn
Local_Time [hours] azimuthal coordinate of Cassini with respect to Titan
Lat [degrees] Titan geographic latitude
West_Long [degrees] Titan geographic longitude, counted westward
Rx_ecl_km, Ry_ecl_km, Rz_ecl_km [km] Titan-centered solar ecliptic coordinates of Cassini (X-axis towards Sun, Z-axis is the component of Titan angular rotation vector orthogonal to X, Y-axis completes right-handed set)

input_data.xlsx contents (one flyby per sheet)
% <variable>_err is the 2-sigma uncertainty in the same units as the variable
UTC time stamp
N2 [cm^-3] molecular nitrogen number density
CH4 [cm^-3] methane number density
Ne [cm^-3] electron charge density
Ni [cm^-3] positive ion charge density
ZN [cm^-3] negative dust charge number density
Te [K] electron temperature
Ti [K] positive ion temperature
Td [K] negative dust temperature
Zd mean negative dust charge number
Mi [amu] mean positive ion mass
Md [amu] mean negative ion mass
B [T] magnetic field

conductivities.xlsx contents (one flyby per sheet):
% <variable>_err is the 2-sigma uncertainty in the same units as the variable
UTC time stamp
nyElectrons [s^-1] total electron momentum transfer collision frequency
nyIons [s^-1] total positive ion momentum transfer collision frequency
nyDust [s^-1] total negative dust momentum transfer collision frequency
sig_Parallel [S/m] field-parallel conductivity
sig_Pedersen [S/m] Pedersen conductivity
sig_Hall [S/m] Hall conductivity

casesl.xlsx contents (one time stamp per sheet):
% <variable>_err is the 2-sigma uncertainty in the same units as the variable
UTC time stamp
altitude [km] altitude above Titan surface
Zd mean negative dust charge number
sig_Par [S/m] field-parallel conductivity for given Zd
sig_P [S/m] Pedersen conductivity for given Zd
sig_H [S/m] Hall conductivity for given Zd
mi_spec [amu] positive ion mass spectra (INMS & IBS combined)
Ni_spec [cm^-3] positive ion charge density as a function of mass
md_spec [amu] negative dust/ion mass spectra (ELS)
Nd_spec [cm^-3] negative dust/ion charge density as a function of mass
DOI: 10.17632/hwc5wfbvj9.2
title: Titan conductivities (Cassini)

description: This is the dataset for the article "Conductivities of Titan's dusty ionosphere", Journal of Geophysical Research: Space Physics, DOI: 10.1029/2021JA029910
Please see the article for the description and references for data derivations.

ephemerides.xlsx contents (one flyby per sheet):
UTC time stamp
altitude [km] altitude above Titan surface
sc_Velocity [km/s] magnitude of Cassini spacecraft velocity
Solar_Zenith_Angle [degrees] angle from the Sun direction (X-axis in solar ecliptic coordinates)
sub_solar_lat [degrees] of sub-solar latitude (i.e. Titan geographic latitude where Sun is in zenith)
Saturn_Local_time [hours] azimuthal coordinate of Cassini with respect to Saturn
Local_Time [hours] azimuthal coordinate of Cassini with respect to Titan
Lat [degrees] Titan geographic latitude
West_Long [degrees] Titan geographic longitude, counted westward
Rx_ecl_km, Ry_ecl_km, Rz_ecl_km [km] Titan-centered solar ecliptic coordinates of Cassini (X-axis towards Sun, Z-axis is the component of Titan angular rotation vector orthogonal to X, Y-axis completes right-handed set)

input_data.xlsx contents (one flyby per sheet)
% <variable>_err is the 2-sigma uncertainty in the same units as the variable
UTC time stamp
N2 [cm^-3] molecular nitrogen number density
CH4 [cm^-3] methane number density
Ne [cm^-3] electron charge density
Ni [cm^-3] positive ion charge density
ZN [cm^-3] negative dust charge number density
Te [K] electron temperature
Ti [K] positive ion temperature
Td [K] negative dust temperature
Zd mean negative dust charge number
Mi [amu] mean positive ion mass
Md [amu] mean negative ion mass
B [T] magnetic field

conductivities.xlsx contents (one flyby per sheet):
% <variable>_err is the 2-sigma uncertainty in the same units as the variable
UTC time stamp
nyElectrons [s^-1] total electron momentum transfer collision frequency
nyIons [s^-1] total positive ion momentum transfer collision frequency
nyDust [s^-1] total negative dust momentum transfer collision frequency
sig_Parallel [S/m] field-parallel conductivity
sig_Pedersen [S/m] Pedersen conductivity
sig_Hall [S/m] Hall conductivity

casesl.xlsx contents (one time stamp per sheet):
% <variable>_err is the 2-sigma uncertainty in the same units as the variable
UTC time stamp
altitude [km] altitude above Titan surface
Zd mean negative dust charge number
sig_Par [S/m] field-parallel conductivity for given Zd
sig_P [S/m] Pedersen conductivity for given Zd
sig_H [S/m] Hall conductivity for given Zd
mi_spec [amu] positive ion mass spectra (INMS & IBS combined)
Ni_spec [cm^-3] positive ion charge density as a function of mass
md_spec [amu] negative dust/ion mass spectra (ELS)
Nd_spec [cm^-3] negative dust/ion charge density as a function of mass
DOI: 10.17632/k2rrzgnmfc.1
title: LINF_350006900

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.34740/kaggle/dsv/4847602
title: International Football Results 1870 - 2023
DOI: 10.17632/vjn9g9p2nm.1
title: LINF_350007000

description: NLI interacting factor-like phosphatase
Leishmania infantum (strain JPCM5)
DOI: 10.17632/kft2cp4szw.1
title: LINF_350008000

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/jdt9tfkt4v.1
title: TRACK: A python code for calculating the transport properties of correlated electron systems using Kubo formalism

description: Exploring the transport properties of different materials brings new avenue for basic understanding of emergent phenomena and practical applications in many different fields. Here, we report a program named as TRACK (TRAnsport properties for Correlated materials using Kubo formalism) which is written in Python 3 for calculating temperature dependent electrical conductivity, electronic part of thermal conductivity, Seebeck coefficient and Lorenz number. In this code, Kubo linear-response formalism is utilized for computing these parameters using both interacting and non-interacting electronic structure methods. The formula for transport coefficients is accordingly modified to obtain the transport parameters under relaxation time approximation using band-theory. The basic inputs of this program are the structural information, dense k-points sampling in the irreducible part of the Brillouin zone and the information of velocity matrix elements, which can be calculated using third-party ab-initio package. TRACK is expected to calculate the transport properties of different class of materials. The code has been benchmarked by performing calculation on three different types of materials namely Vanadium (V), FeSi and LaCoO3, which are metal, semiconductor and Mott insulator, respectively. The temperature dependent behaviour of the transport coefficients for these materials show fairly good agreement with the corresponding experimental data.
DOI: 10.17632/bczmf3pr98.1
title: LINF_350007400

description: DnaJ domain-containing protein | JDP75 | J75
Leishmania infantum (strain JPCM5)
DOI: 10.17632/3dw54yhhcc.1
title: Experimental climate dataset of an agricultural greenhouse prototype

description: Experimental climate dataset of a greenhouse in an arid semi-desert region (Biskra, Algeria). It includes 5 successive days of climate measurements involving a set of climate variables:
1.	Date
2.	Time									
3.	Tin1: Inside air temperature (upper part of the greenhouse)
4.	Tin2: Inside air temperature (lower part of the greenhouse)
5.	Tout: Outside air temperature
6.	Hin1: Inside relative humidity
7.	Hin2: Inside relative humidity
8.	Hout: Outside relative humidity
9.	Irr: Outside solar radiation
10.	Wv: Outside Wind velocity
11.	Rain: Rain detector for the alarm system (0 or 1)

This dataset has been generated using a developed low-cost wireless data acquisition system (DAS) with low-cost sensors. The description of the constructed greenhouse and the developed low-cost DAS can be found in this paper [https://doi.org/10.1007/978-981-15-6403-1_4]

The dataset is uploaded in 3 types of files (.xlsx, .mat, and .txt) for its ease of use.
DOI: 10.17632/3dw54yhhcc.2
title: Experimental climate dataset of an agricultural greenhouse prototype

description: Experimental climate dataset of a greenhouse in an arid semi-desert region (Biskra, Algeria). The greenhouse was empty (No crop effect on its microclimate). It includes 5 successive days of climate measurements involving a set of climate variables:
1.	Date
2.	Time									
3.	Tin1: Inside air temperature (upper part of the greenhouse)
4.	Tin2: Inside air temperature (lower part of the greenhouse)
5.	Tout: Outside air temperature
6.	Hin1: Inside relative humidity
7.	Hin2: Inside relative humidity
8.	Hout: Outside relative humidity
9.	Irr: Outside solar radiation
10.	Wv: Outside Wind velocity
11.	Rain: Rain detector for the alarm system (0 or 1)

This dataset has been generated using a developed low-cost wireless data acquisition system (DAS) with low-cost sensors. The description of the constructed greenhouse and the developed low-cost DAS can be found in this paper [https://doi.org/10.1007/978-981-15-6403-1_4]

The dataset is uploaded in 3 types of files (.xlsx, .mat, and .txt) for its ease of use.
DOI: 10.17632/3fxwnsf5xx.1
title: Perillo et al. The free energy  Supplementary Data

description: Supplementary Tables S1 and S2 for the ms Perillo et al. The free energy of an ecosystem: towards a measure of its inner value.
DOI: 10.6084/m9.figshare.21753545
title: Discretized MNIST for Digital Circuits and Neural Networks based on Acid-Base Chemistry implemented by Robotic Fluid Handling

description: A discretized version (binary & 3-bit) version of the MNIST dataset for Nature Communications paper "Digital Circuits and Neural Networks based on Acid-Base Chemistry implemented by Robotic Fluid Handling "
DOI: 10.6084/m9.figshare.21753545.v3
title: Discretized MNIST for Digital Circuits and Neural Networks Based on Acid-Base Chemistry Orchestrated by Robotic Fluid Handling

description: A discretized version (binary & 3-bit) version of the MNIST dataset for Nature Communications paper "Digital Circuits and Neural Networks Based on Acid-Base Chemistry Orchestrated by Robotic Fluid Handling "