cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21937499.v1
title: Suppl_table_2_Results CAF310122_Group D.xlsx

description: Table with measured echo parameters in group D.
DOI: 10.17632/mpph6bmn7g
title: Inertial sensor dataset for Dog Posture Recognition 

description: This dataset contains inertial data collected from 42 healthy apprentice dogs (1 Golden Retriever, 16 Labrador Retrievers and 25 Crosses) participating in the assistance dog programme.  During the video recorded data collection session, five postures (Standing, Sitting, Lying down, Walking, and Body shake) were annotated and further classified into two types (Dynamic, Static).  The subjects wore inertial measurement units (IMUs) in three locations (back, neck, and chest) simultaneously. Inertial data were gathered using ActiGraph GT9X Links (Actigraph LLC, Pensacola, USA) containing three-axial accelerometer, gyroscope and magnetometer with a 100Hz sampling rate. A detailed description of the data provided in each of the .csv files is presented in the readme.md file. 

The authors of the dataset request researchers to cite the publication when using the data and publishing results produced using it.  

Ethical approval has been granted by Animal Ethics Experimentation Committee (AEEC) and Social Research Ethics Committee (SREC) at University College Cork (UCC). This publication has emanated from research supported in part by a grant from The Ireland-Wales INTERREG Programme under the CALIN project [PG; grant number 80885; https://irelandwales.eu/projects/calin], from Science Foundation Ireland (SFI) [PG, BO; grant number 12/RC/2289-P2; https://www.sfi.ie/]; from SFI and Department of Agriculture, Food and Marine [PG, BO; grant number 16/RC/3835; https://www.sfi.ie/, https://www.gov.ie/en/organisation/department-of-agriculture-food-and-the-marine/]. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
DOI: 10.26180/24080646.v5
title: Forecasting potential invaders to prevent future biological invasions worldwide, Supporting Information S1

description: Forecasting potential invaders to prevent future biological invasions worldwide, Supporting Information S1## Research rationaleThe ever-increasing and expanding globalisation of trade and transport underpins the escalating global problem of biological invasions. Developing biosecurity infrastructures is crucial to anticipate and prevent the transport and introduction of invasive alien species, but robust and defensible forecasts of potential invaders, especially species worldwide with no invasion history, are rare.<br>## The toolHere, we aim to support decision-making by developing a quantitative invasion risk assessment tool based on invasion syndromes (i.e. attributes of a typical invasive alien species). We implemented a multiple imputation with chain equation workflow to estimate invasion syndromes from imputed datasets of species’ life-history and ecological traits (e.g., body size, reproductive traits, microhabitat) and macroecological patterns (e.g., geographic range size, commonness, habitat generalism, tolerance to disturbance).<br>The tool is run under R computing program. And this repository contains the R scripts and sample files to run the tool.<br>The description and application of tool can be read in full in Pili et al. (2024 -- Global Change Biology). The project repository containing the R code to run our quantitative invasion risk assessment tool can be accessed in: https://github.com/armanpili/ForecastingInvadersContained herein are the associated data of the project.<br>Tabl_S1_1.csv — Unintentionally transported and introduced amphibians and reptilesTableS1_2_raw.xslx — Full raw and harmonised life-history and ecological traits of global amphibians and reptiles.TableS1_2_1.csv — Life-history and ecological traits and macroecological patterns of frogs used in multiple imputation. This is a subset of the global amphibian dataset, reduced to contain a maximum of 60% data missingness in columns (variables) and rows (species).TableS1_2_2.csv — Life-history and ecological traits and macroecological patterns of lizards used in multiple imputation. This is a subset of the global saurian reptile dataset, reduced to contain a maximum of 60% data missingness in columns (variables) and rows (species).TableS1_2_3.csv — Life-history and ecological traits and macroecological patterns of snakes used in multiple imputation. This is a subset of the global serpentine reptile dataset, reduced to contain a maximum of 60% data missingness in columns (variables) and rows (species).TableS1_3.csv — Evaluation scores of random forest models fitted with life-history and ecological traits, macroecological patterns, life-history and ecological traits and macroecological patterns, and optimal subset of life-history and ecological traits and macroecological patterns.Table S1_4.csv — Predicted risk scores of unintentional transport, introduction, and establishment of frogs, lizards, and snakes.<br><br><br>
DOI: 10.6084/m9.figshare.12765797.v3
title: Data --- Self-Consistent Inductive Electric Field

description: Data --- Self-Consistent Inductive Electric Field
DOI: 10.6084/m9.figshare.21408489.v1
title: Tshidi Lelaka - COREQ_checklist.pdf

description: COREQ Checklist
DOI: 10.6084/m9.figshare.24717699.v1
title: VetCompass Rabbit 2019 Disorder Open Access Data

description: All disorders recorded in rabbits under primary veterinary care in 2019.
DOI: 10.17605/osf.io/3sfu9
title: Gut-Brain Axis and Mental Health: Investigating the Microbiome's Role in Anxiety and Depression.

description: Recent breakthroughs in neuroscience and microbiology have emphasized the gut-brain axis, which is a bidirectional communication system. This intricate signaling network combines neuronal, hormonal, and immunological pathways to regulate mood regulation and mental health. Emerging data demonstrates that changes in gut microbiota composition are linked to anxiety and depression, highlighting the microbiome's importance in brain function and emotional well-being. This research delves into the gut-brain axis, focusing on the role of dysbiosis in mental illnesses and the promise of microbiome-based treatments as innovative treatment options for anxiety and depression.
DOI: 10.17632/dxmx85m7sw
title: Data for the article: "Use of an L-band radiometer for proximal moisture measurement in road construction"

description: This dataset is used to retrieve soil moisture information using observations from an L-band passive microwave radiometer for two typical road construction materials, sand subgrade and Unbound Granular Material (UGM) subbase/ base. This dataset includes:
- Observed brightness temperatures (TB) from the L-band radiometer.
- Recorded soil moisture and temperature from Stevens HydraProbe soil moisture sensors and temperature sensors.
- Measured surface height from laser profiler.
- Measured soil moisture from traditional methods: The thermogravimetric ring for sand and Nuclear Density Gauge (NDG) for UGM.

These data can be used as input to a Passive Microwave Emission Model to retrieve soil moisture information.
L-band radiometer was used to provide observed TB from the soil surface at different incidence angles, a laser profiler provided the roughness information, and Stevens HydraProbe soil moisture sensors and temperature sensors were used to obtain the vertical distribution of the soil temperature. These parameters together with soil texture, bulk density information, and a first guess of soil moisture were used as input to the forward model to predict the soil surface TB. The best estimate of soil moisture was then inverted using an iterative method to minimize a cost function (CF) calculated from the differences between observed and simulated TB. The Dobson dielectric mixing model was adopted for the sand subgrade and UGM subbase/ base. The moisture content of the soil was measured using the traditional technique at targeted locations to validate results from the model.
DOI: 10.6084/m9.figshare.25234255.v1
title: Data_S1

description: Database associated with Qu X. et al. "Deforestation impacts soil biodiversity and ecosystem services worldwide" <br>
DOI: 10.17632/6zhc3kfw5r
title: Data for: Numerical Simulation of Skin Factors for Perforated Wells with Crushed Zone and Drilling-Fluid Damage in Tight Gas Reservoirs

description: result_shen0.5_hou3cmk0.1_zuankv.vtk: simulation result for penetration length 0.5m with crushed zones and drilling-flui damage (Fig. 6a in paper) result_shen1.1_hou3cmk0.1_zuankv.vtk: simulation result for penetration length 1.1m with crushed zones and drilling-flui damage (Fig. 7 in paper)
DOI: 10.17632/wzgcyc643k
title: Bengali to English Word Alignment Dataset

description: The dataset is in XML format and contains manually annotated 2000 Bengali and English parallelly aligned sentences. These parallel sentences were collected from different news articles and encyclopedias. The translation of some of the sentences was improved via Google Translator, and all the punctuation marks from parallel sentences were removed for the tokenization issues.

A sample representation of the dataset is given below:

		Bengali: বাংলাদেশের জলবায়ু তাপমাত্রায় মৃদু 
		English: Climate of Bangladesh is mild in temperature
		Alignments: 0-1 0-2 1-0 2-5 2-6 3-3 3-4
DOI: 10.6084/m9.figshare.13185641.v3
title: Reaction a MEP

description: The minimum energy path (MEP) of reaction #a in the catalytic reaction network of SABRE. It was obtained from electronic structure calculations at PBE+TS level of density functional theory through the FHI-aims code package. <br>Data is in the xyz file format. Each image in the MEP is described as one frame of the xyz file.
DOI: 10.6084/m9.figshare.25632561.v1
title: <b>Carbon carrying capacity in primary forests shows potential for mitigation achieving the European Green Deal 2030 target</b>

description: Carbon accounting in the land sector requires a reference level from which to calculate past losses of carbon and potential for gains using a stock-based target. Carbon carrying capacity represented by the carbon stock in primary forests is an ecologically-based reference level that allows estimation of the mitigation potential derived from protecting and restoring forests to increase their carbon stocks. Here we measured and collated tree inventory data at primary forest sites including from research studies, literature and forest inventories (7,982 sites, 288,262 trees, 27 countries) across boreal, temperate, and subtropical Global Ecological Zones within Europe. We calculated total biomass carbon stock per hectare (above- and below-ground, dead biomass) and found it was 1.6 times larger on average than modelled global maps for primary forests and 2.3 times for all forests. Large trees (diameter greater than 60cm) accounted for 50% of biomass and are important carbon reservoirs. Carbon stock foregone by harvesting of 12-52% demonstrated the mitigation potential. Estimated carbon gain by protecting, restoring and ongoing growth of existing forests equated to 309 megatons carbon dioxide equivalents per year, additional to, and higher than, the current forest sink, and comparable to the Green Deal 2030 target for carbon dioxide removals.<br>
DOI: 10.17608/k6.auckland.19735810.v1
title: Key to penguins in dataset

description: This is a key to the names and registration numbers of the penguins used in this dataset
DOI: 10.17632/39b9bbprcx
title: Dataset: Podporozhye

description: Spatial data are created based on different open data sources for the neighbourhood area of the city Podporozhye (Leningrad Region, Russia) with a centre in Tokari village.

The Dataset consists of:
1. Folder «Spatial data»
  1.1. Legal Information for this folder.
  1.2. Edges – spatial line data, describing the potential roads.
  1.3. Vertexes – spatial point data, describing the endpoints of the edges.
  1.4. Terminals – spatial point data, describing centroids of artificial harvest units.
  1.5. Zones – spatial data used for graph decomposition.
  1.6. Clusters – harvesting blocks, clustered via Statistica "Clustering" tool (K-means) and authors method.
2. Folder «Fire Ponds allocation»:
  2.1. Depth to Water – spatial data.
  2.2. Fire Ponds Locations with DTW.
  2.3. Fire Ponds Locations Without DTW.
  2.4. Forest Compartments.
3. Folder «Triangulated Irregular Network»: 
  3.1. Legal Information for this folder.
  3.2. Data Structure – .xls files with brief attribute description.
  3.3. Input Data – represented by edges and vertices of the graph (for one regular and three irregular networks of different density of vertices), areas with loss of forest cover according to Global Forest Change (artificial harvest blocks). The following designations were used: 1) Regular16L for a lattice-type network with 16 links and 100 m between the nodes, 2) 1P2H for a triangulated network with a density of 0.5 nodes per hectare, 3) 1P1H for a triangulated network with a density of 1 node per hectare, 4) 2P1H for a triangulated network with a density of 2 nodes per hectare.
  3.4. Output Data – represented by road networks with the minimum construction and transportation costs connecting all logging sites to the sink node for each dataset.

For legal information, please read the relevant files.

Changelog:
1. Added Clusters archive. 
Results have been presented at conference VI All-Russian scientific and technical conference «Forests of Russia: Policy, Industry, Science, Education» [Леса России: политика, промышленность, наука, образование] 26.05.2021, St. Petersburg, Russia.
Бачериков И.В., Симоненкова А.В., Симоненков М.В. Исследование кейса: Подпорожье. Применение метода кластеризации k-средних для объединения лесосек в группы [Bacherikov I., Simonenkova A., Simonenkov M. Case Study: Podporozhye. Application of k-Means Clustering Method for Logging Sites Grouping]
2. Added Fire Ponds Allocation. Results have been presented at The 2nd International Electronic Conference on Forests — Sustainable Forests: Ecology, Management, Products and Trade (IECF2021), 01.09.2021, online. https://iecf2021.sciforum.net/
3. Added Triangulated Irregular Network. Results have been presented at The 43rd annual meeting of the Council on Forest Engineering (COFE) and the 53rd annual meeting of the International Symposium on Forest Mechanization (FORMEC), 30.09.2021, online. https://cofe-formec2021.org/
DOI: 10.17632/bgkscw9ns9
title: A dynamic actin cytoskeleton is required to prevent constitutive VDAC-dependent MAPK-signalling and aberrant lipid homeostasis.

description: These original data support the publication "A dynamic actin cytoskeleton is required to prevent constitutive VDAC-dependent MAPK-signalling and aberrant lipid homeostasis." by Davis et al. published in iScience.
DOI: 10.17632/f9k6rgfkmy
title: WGMode : A Matlab toolbox for whispering gallery modes volume computation in spherical optical micro-resonators

description: We present a Matlab toolbox aimed at studying Whispering Gallery Modes (WGM) in spherical optical micro-resonators. Whispering gallery modes are specific resonances of an optical wave trapped inside a dielectric cavity with smooth edges due to continuous total internal reflection of light. The novelty of the work stands in the implementation of analytical formulas to compute the volume of a WGM in a spherical cavity while only approximate asymptotic expressions or purely numerical computations based on the Finite Element Method were previously available. The toolbox also provides Matlab programs to compute and visualize WGM.
DOI: 10.6084/m9.figshare.17299094.v1
title: Seascapes of fear and competition shape regional seabird movement ecology

description: GPS data for Cape gannets monitored between 2008 and 2015 in Malgas Island (South Africa).<br>
DOI: 10.6084/m9.figshare.7930043.v1
title: gVCF_NA19654

description: 1000 Genomes gVCF mapped to hs37d5 for NA19654. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.7294/24101649.v1
title: Morphology & Cortisol Data for Repository

description: These data were analyzed for the publication: "Exploring the Domestication Syndrome Hypothesis in Dogs: Pigmentation Does Not Predict Cortisol Levels." <br> Authors: JoAnna M Platzer, Lisa M Gunter, Erica N Feuerbacher File: Morphology & Cortisol Data for Repository Variables include: Dog Name, Study Type, Shelter ID, Dog ID, Cort Value, Phase, Weight (kg), Age (mos), White Spotting, Coat Pattern, Nose Leather
DOI: 10.17632/9x62992sw6
title: Brazilian Forest Dataset

description: Dataset created to monitor the Brazilian vegetation combining 4 different systems: (i) an inventory of Brazilian seed plants created to map the country biodiversity; (ii) the Fraction of Absorbed Photosynthetically Active Radiation; (iii) the NASA Power database to include meteorological data; and (iv) the DATASUS system which makes available geographical information from Brazil. The final dataset comprises a large number of attributes including meteorological and vegetational features, which correspond to a total of 8 and 8471 attributes, respectively. Moreover, the dataset contains 20 labels and 865 geographical positions (latitude and longitude) used during the vegetation monitoring. This project makes available raw and preprocessed data, and Machine Learning models (including source codes) adjusted to : i) predict the occurrence of specific type of vegetation in different region without requiring a constant monitoring task; ii) monitor whether or not the prediction accuracy is changing after collecting new data, which provides an important tool to detect how the environment is evolving over time; and iii) study this dataset as an extra data source to better understand and simulate meteorological influences on predicted vegetation types. More information about the original datasets: (i) http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2175-78602015000401085 (ii) https://fapar.jrc.ec.europa.eu/Home.php (iii) https://power.larc.nasa.gov/ (iv) http://datasus.saude.gov.br/
DOI: 10.6084/m9.figshare.14576196.v1
title: Вычисления к диссертации.xlsx

description: Survey data of 52 EdTech startup founders
DOI: 10.6084/m9.figshare.22794731.v1
title: Market Verileri

description: marketten alınan ürünlere ait veri seti
DOI: 10.6084/m9.figshare.28943930.v1
title: Sequence information and Microbial community structure

description: Table 2 Table 2 describes 16S rRNA sequencing data quality across different cropping system.Figures 1A and 1B describe the bacteria and fungi diversity Phylum taxonomic classification under different cropping systems <br>
DOI: 10.6084/m9.figshare.24560179.v1
title: Supplementary Material for: Large cell neuroendocrine carcinoma of the gallbladder – Where survival is a rare entity: Case report and review of the literature

description: Introduction Carcinoma of the gallbladder is extremely rare, papillary adenocarcinoma comprises 90% of these cases. Although Neuroendocrine Neoplasms (NEN) comprise 0.5% of the cases of gallbladder cancer, the incidence is rising. NEN is classified into a well-differentiated neuroendocrine tumor (NET) and poorly differentiated neuroendocrine cancer (NEC). Histologically, NEC is small-cell or large-cell carcinoma. We present the extremely rare case, 15th in the literature to be precise, of large cell neuroendocrine carcinoma of the gallbladder. Case Presentation A 72-year-old male presented to the emergency department with constipation and right upper quadrant pain for 3 months. CT scan of the abdomen demonstrated an ill-defined 7.2 X 4.9 cm hypodense lesion in the gallbladder fossa with extension into the liver. Histopathological and immunohistochemical analysis of the biopsy specimen confirmed the diagnosis of Large cell neuroendocrine carcinoma of the gallbladder. He was started on palliative chemotherapy. Conclusion The plethora of tumors present in the gallbladder necessitates a search for risk factors for gallbladder neoplasia, and underscores the need to more carefully examine the nature of “asymptomatic gallstones.” Further studies may reveal subclasses of cholelithiasis, gallbladder morphology, or imaging to define which patients should be followed more carefully, and may clarify additional risk factors for cancer of the gallbladder.
DOI: 10.17632/5ynf9xdbs9
title: Impact of power supply fluctuation and part load operation on the efficiency of alkaline water electrolysis 

description: This is the research data folder for the paper "Impact of power supply fluctuation and part load operation on the efficiency of alkaline electrolysis". 


The current-voltage model data was obtained by conducting chronopotentiometry experiments on a lab-scale electrolyser. Available performance data were analysed and used for the commercial electrolysers. The large-signal dynamic model input variables were obtained by conducting Electrochemical Impedance Spectroscopy Experiments (EIS) on a lab-scale electrolyser. While commercial systems performance data were translated into electrochemical fundamentals on electrokinetics and ohmic resistance.

Abstract: 

Contrary to traditional electrolysers which operate continuously at their nominal load, future alkaline electrolysers need to be able to operate over a wide load range  due to the variability of renewable electricity supply. We have investigated how the residual ripples from thyristor-based power supplies are influenced by the operating load of the system, and how these ripples affect the efficiency of alkaline electrolysers. For this, a simulation tool was developed which combines a six-pulse bridge thyristor rectifier model with closed-loop current control and semi-empirical electrolysis models. The electrolysis models can simulate the potential response to both direct and high amplitude alternating currents for lab-scale and industrial  electrolysers. The electrolysis model of the lab-scale electrolyser was validated with experiments with a square wave current input. The models show that without filters the ripples result in a total system efficiency loss of 1.2 – 2.5% at full load and of 5.6 – 10.6%  at a part load of 20% depending on the type of electrolyser. The implementation of an optimized L-filter suppresses residual ripples and reduces the efficiency losses to 0.5% - 0.8% at full load and to 0.8 – 1.2% at the minimum load.
DOI: 10.6084/m9.figshare.4265117.v1
title: Serbian National Health Survey Database .xlsx

description: These data are the part of the two National Health Surveys in the Republic of Serbia, conducted in 2006 and 2013, funded by the Ministry of Health. The survey was conducted in accordance with the methodology and instruments of the European Health Interview Survey wave 2. Both surveys were conducted as cross sectional studies. Population presented in the research included adults, aged 19 and more. The researches excluded people living on the territory of Kosovo and Metohija, as well as people with residence addresses in Special institutions (retirement homes, prisons, psychiatric clinics). Data on basic characteristics of the interviewees, health condition of the interviewees, using hospital and non-hospital health care services and prevention check-ups and unachieved need for health care was obtained through a face-to-face interview carried out at home, while information at the level of the household was obtained by means of a household questionnaire. The questions were validated instruments based on the standard questionnaires from similar types of surveys.
DOI: 10.6084/m9.figshare.93951.v4
title: Gaze Data for the Hollywood2 Action Recognition Data Set

description: Gaze data from 5 subjects watching the Hollywood2 Action Recognition Dataset while performing the action recognition task set out for the challenge. from: Eleonora Vig, Michael Dorr, David Cox (2012) Space-Variant Descriptor Sampling for Action Recognition Based On Saliency and Eye Movements. European Conference on Computer Vision