cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14859063
title: Global Daily FFDI Projections from HadCM3C Perturbed Physics Ensemble - RCP8.5

description:  

This dataset contains daily McArthur Forest Fire Danger Index (FFDI) outputs derived from the HadCM3C Perturbed Physics Ensemble (PPE) under two future emissions scenarios. Data is split between two report, the RCP2.6 Data Repository here, while this one is the RCP8.5 Data Repository here.

Each repository includes NetCDF files (.nc.gz) representing daily FFDI values for 57 ensemble members. The data spans from 1 January 1970 to 22 December 2097 on a global 3.75° x 2.5° grid using the following projection: +proj=longlat +R=6371229


File Naming Convention

NetCDF files that contain daily FFDI values follow the structure: ffdi_joined_rcpX.x_XXXXX.nc.gz


Where:



rcpX.x refers to the emissions scenario (2.6 or 8.5).

XXXXX represents the unique ensemble member ID.


We also include three files that, for each ensemble member (first column), contain the start (2nd column) and end date (3rd column) of the 20-year running mean of the exceedance window of 1.5, 2 and 4°C global warming level. These filenames have the structure  rcpX_xgwl_Y_y.txt Where:



rcpXyx refers to the emissions scenario (2.6 or 8.5).

Y_y represents the global warming level above pre-industrial


Dataset Overview



Variables: Daily FFDI values calculated from model outputs of temperature, relative humidity, wind speed, and precipitation.

Temporal Coverage: 1970-01-01 to 2097-12-22.

Spatial Coverage: Global grid at 3.75° longitude x 2.5° latitude resolution.

Number of Ensemble Members: 57.


Methodology

The FFDI was computed using input variables from the HadCM3C PPE, which incorporates dynamic vegetation and carbon cycle feedbacks. This ensemble samples uncertainties in atmospheric feedbacks, land carbon processes, and ocean physics. The FFDI is calculated as:







 



FFDI = 1.25 * DF * exp[((T - H) / 30.0) + 0.0234 * V]



Where:



T = daily maximum temperature at 1.5m (°C),

H = daily relative humidity (%),

V = daily wind speed at 10m (km/h),

DF = drought factor, derived from soil moisture deficit and recent precipitation.


For a detailed explanation of the methodology and the specific parameters used, refer to our associated publication once published:DOI: xxxxx

Usage Notes



Data Formats: Files are compressed NetCDF (.nc.gz) and can be accessed using tools like Python's xarray, R's ncdf4, or command-line tools like ncdump.

Applications: This data is suitable for assessing future changes in fire weather conditions, global fire risk analysis, and climate impact assessments.


Citation

If you use this dataset, please cite:



Taylor et al. (2024). Limiting global warming to 1.5°C minimises projected global increases in fire weather days, but adaptation to new fire regimes is still needed. . DOI: xxxxx
DOI: 10.5281/zenodo.14966002
title: aplib-net-user-study-2024

description: Data of a user study for aplib.NET. It includes:



aplib-net-userstudy.pdf: description of the study's setup and questionaires.

results-1.pdf, results-2.pdf  : the study's results (first and second batch of six users)

Results (results-1 and results-2)

nummeric-results-original-scale.csv : the nummeric results of the questionaires

nummeric-results-normalized-scale.csv: the nummeric results where for some questions we reverse the scaling (because in the original survey these questions are posed with a reversed scale)

raw-responses_first_6.csv, raw-responses_second_6.csv: contain the raw reponses(from the first and second batch of six users)
DOI: 10.5281/zenodo.14966003
title: aplib-net-user-study-2024

description: Data of a user study for aplib.NET. It includes:



aplib-net-userstudy.pdf: description of the study's setup and questionaires.

results-1.pdf, results-2.pdf  : the study's results (first and second batch of six users)

Results (results-1 and results-2)

nummeric-results-original-scale.csv : the nummeric results of the questionaires

nummeric-results-normalized-scale.csv: the nummeric results where for some questions we reverse the scaling (because in the original survey these questions are posed with a reversed scale)

raw-responses_first_6.csv, raw-responses_second_6.csv: contain the raw reponses(from the first and second batch of six users)
DOI: 10.5281/zenodo.12806431
title: Nonlinear method to assess autonomic modulation during controlled breathing: dataset

description: Please, cite this article if using dataset:

A. Uryga, M. Najdek, M. Najda, C. Mataczyński and T. Buchner, "Nonlinear Method to Assess Autonomic Modulation During Controlled Breathing," 2024 13th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), ZARAGOZA, Spain, 2024, pp. 1-2, doi: 10.1109/ESGCO63003.2024.10766976.

 

General information:

This database contains data from 34 young healthy volunteers (median age: 22 years, range: 18-31 years) who were measured at the Neuroengineering Laboratory at Wroclaw University of Science and Technology (WUST) between October 2023 and January 2024.

The study was approved by the bioethical committee (KB-179/2023/N).

We would like to thank Prof. Magdalena Kasprowicz, the head of the Brain Physics group (https://www.brainlab.pwr.edu.pl/), for her help and support during the research.

The study was support by National Science Centre, Poland (UMO-2022/47/D/ST7/00229).

Signal recordings description:



ABP was measured non-invasively by a servo-controlled plethysmograph (CNAP, CNSystems Medizintechnik GmbH, Graz, Austria, in n = 19 subjects, and Finapres Nova, FMS Medical Systems, in n = 15 subjects). The cuff was placed on the middle finger of the left hand and held at the level of the heart.

Expired end-tidal CO2 (EtCO2), carbon dioxide (CO2) concentration, and respiratory rate (RR) were measured via a nasal cannula using a portable capnography monitor (RespSense™, NONIN, Plymouth, USA).

Protocol: After a resting epoch lasting at least 5 minutes, a controlled breathing session was initiated with three 5-minute recordings at respiratory rates of 6, 10, or 15 breaths/min (0.1 Hz, 0.17 Hz, and 0.25 Hz, respectively), guided by a digital metronome.


Data description:



Metadata: Including device, gender (male M, female F), and age

Autonomic Nervous System parameters: Including



Phase-Rectified Signal Averaging (PRSA) - a non-linear approach used to quantify the acceleration (AC) and deceleration (DC) capacity of the heart

Entropy: Fuzzy entropy (FuzzyEn) functions calculated for R-R intervals, which were implemented in NeuroKit2

Joint Symbolical Analysis (JSA) - a method that identifies short-term repeated patterns in a signal (JSA_sym and JSA_diam)



Physiological parameters: Including



Mean arterial blood pressure (ABP)

Mean end-tidal carbon dioxide (EtCO2)

Mean heart rate (HR)
DOI: 10.5281/zenodo.12806430
title: Nonlinear method to assess autonomic modulation during controlled breathing: dataset

description: Please, cite this article if using dataset:

A. Uryga, M. Najdek, M. Najda, C. Mataczyński and T. Buchner, "Nonlinear Method to Assess Autonomic Modulation During Controlled Breathing," 2024 13th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), ZARAGOZA, Spain, 2024, pp. 1-2, doi: 10.1109/ESGCO63003.2024.10766976.

 

General information:

This database contains data from 34 young healthy volunteers (median age: 22 years, range: 18-31 years) who were measured at the Neuroengineering Laboratory at Wroclaw University of Science and Technology (WUST) between October 2023 and January 2024.

The study was approved by the bioethical committee (KB-179/2023/N).

We would like to thank Prof. Magdalena Kasprowicz, the head of the Brain Physics group (https://www.brainlab.pwr.edu.pl/), for her help and support during the research.

The study was support by National Science Centre, Poland (UMO-2022/47/D/ST7/00229).

Signal recordings description:



ABP was measured non-invasively by a servo-controlled plethysmograph (CNAP, CNSystems Medizintechnik GmbH, Graz, Austria, in n = 19 subjects, and Finapres Nova, FMS Medical Systems, in n = 15 subjects). The cuff was placed on the middle finger of the left hand and held at the level of the heart.

Expired end-tidal CO2 (EtCO2), carbon dioxide (CO2) concentration, and respiratory rate (RR) were measured via a nasal cannula using a portable capnography monitor (RespSense™, NONIN, Plymouth, USA).

Protocol: After a resting epoch lasting at least 5 minutes, a controlled breathing session was initiated with three 5-minute recordings at respiratory rates of 6, 10, or 15 breaths/min (0.1 Hz, 0.17 Hz, and 0.25 Hz, respectively), guided by a digital metronome.


Data description:



Metadata: Including device, gender (male M, female F), and age

Autonomic Nervous System parameters: Including



Phase-Rectified Signal Averaging (PRSA) - a non-linear approach used to quantify the acceleration (AC) and deceleration (DC) capacity of the heart

Entropy: Fuzzy entropy (FuzzyEn) functions calculated for R-R intervals, which were implemented in NeuroKit2

Joint Symbolical Analysis (JSA) - a method that identifies short-term repeated patterns in a signal (JSA_sym and JSA_diam)



Physiological parameters: Including



Mean arterial blood pressure (ABP)

Mean end-tidal carbon dioxide (EtCO2)

Mean heart rate (HR)
DOI: 10.15468/dl.5judhg
title: Occurrence Download

description: A dataset listing the 1350 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Canada",
 "OccurrenceStatus is Present",
 "StateProvince is Newfoundland",
 "TaxonKey is Plantae",
 "Year 1990-2010"
 ]
}

 The dataset's 1350 records were derived from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006088-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10650249
title: Modeling cerebral hemodynamic parameters vs. age

description: These data were consecutively collected at the Wroclaw University of Science and Technology from June 2014 to June 2015.

The study participants were recruited and divided into two distinct groups. The younger group included patients aged from 18 years (only adults, no children or adolescents) up to 30 years. The older group (> 40 years) has been designed as a subgroup to analyze more pronounced changes in structural and functional changes in cerebral arteries.

Exclusion criteria were patients with any vascular risk factors (hypertension, smoking, diabetes mellitus, dyslipidemia, and cardiovascular or neurological diseases). None of the volunteers was under medications. Before the measurement was performed, the participants were instructed to abstain from consuming caffeine and alcohol and to avoid engaging in intensive exercise for at least 12 hours.

Funding

SONATA 18 UMO-2022/47/D/ST7/00229 National Science Centre, Poland

SONATA-BIS UMO-2013/10/E/ST7/00117 National Science Centre, Poland

If using this data, please refer to the following article:

Uryga A, Czosnyka M, Robba C, Nasr N, Kasprowicz M. The time constant of the cerebral arterial bed: exploring age-related implications. J Clin Monit Comput. 2024 Apr 4. doi: 10.1007/s10877-024-01142-5. PMID: 38573368.
DOI: 10.5281/zenodo.10650250
title: Modeling cerebral hemodynamic parameters vs. age

description: These data were consecutively collected at the Wroclaw University of Science and Technology from June 2014 to June 2015.

The study participants were recruited and divided into two distinct groups. The younger group included patients aged from 18 years (only adults, no children or adolescents) up to 30 years. The older group (> 40 years) has been designed as a subgroup to analyze more pronounced changes in structural and functional changes in cerebral arteries.

Exclusion criteria were patients with any vascular risk factors (hypertension, smoking, diabetes mellitus, dyslipidemia, and cardiovascular or neurological diseases). None of the volunteers was under medications. Before the measurement was performed, the participants were instructed to abstain from consuming caffeine and alcohol and to avoid engaging in intensive exercise for at least 12 hours.

Funding

SONATA 18 UMO-2022/47/D/ST7/00229 National Science Centre, Poland

SONATA-BIS UMO-2013/10/E/ST7/00117 National Science Centre, Poland

If using this data, please refer to the following article:

Uryga A, Czosnyka M, Robba C, Nasr N, Kasprowicz M. The time constant of the cerebral arterial bed: exploring age-related implications. J Clin Monit Comput. 2024 Apr 4. doi: 10.1007/s10877-024-01142-5. PMID: 38573368.
DOI: 10.5281/zenodo.14865873
title: Effect of vanzacaftor on cystic fibrosis airway epithelial cells compared to elexacaftor  - Data and statistical analysis

description: Data and code to reproduce all statistical analyses and figures in the manuscript. Compiled outputs from the reports are available in files "organoids.docx" and "nc.docx".

The `code.zip` archive contains the source code. The file "organoids.qmd" reproduces the organoid analyses, file "nc.qmd" reproduces the analysis for human nasal epithelial cells. Other files are supporting to let the main analysis run.

The analysis is written in R + Quarto.

The renv package is used for recreate the computational environment.

The patient-derived organoids dataset is stored in the file `organoids_data.csv`, the columns are:



`well` The ID of the well within the plate the measurement was taken

`time` time from start of measurement

`area` area of the organoids

`patient` Anonymized ID of the patient

`date` Date when the experiment was performed (date and patient ID identify the plate)

`filename` The filename in raw data (not published) this plate was stored in.  (uniquely identifies a plate)

`mix` Identifies one od two variants of plate layouts used

`replicate` ID of technical replicate (two technical replicates were done for each condition on the same plate)

`type` The main condition - one of "VTI" (Vanzacator + Tezacaftor+Ivacaftor), "VTI_2", "VTI_02", "VTI_002" (same as VTI, but differing concentrations of Vanzacaftor - 2, 0.2 and 0.02 μM) "ETI" (Elaxacaftor + Tezacaftor+Ivacaftor", "FskOnly" (Control, only forskolin)

`fsk_concentration` concentration of forskolin (μM)


The human nasal epithelial cells dataset is stored in the file `nc_data.csv` the columns are:



`id` anonymized ID of the patient

`pretreatment` how the cells were treated - values: "Untreated", "ETI" (Elaxacaftor + Tezacaftor+Ivacaftor", "VTI" (Vanzacator + Tezacaftor+Ivacaftor), "Healthy_Ind0" - "Healthy_Ind50" (cells from healthy donors, treated with varying concentrations of indomethacin)

`rt_start` resistance at start of experiment (Ω*cm2)

`basal`,`ami`,`fsk_max_peak`,`fsk_final`,`vx770`,`inh172`,`atp` Isc values at individual time points (μA/cm2)

`repl_id` unique ID for each row
DOI: 10.15468/dl.dryt99
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malva trifida Cav.",
 "Geometry POLYGON((-4.57907617500001 39.884719509, -4.57907617500001 41.165844755, -3.05298331400002 41.165844755, -3.05298331400002 39.884719509, -4.57907617500001 39.884719509))"
 ]
}

 The dataset includes 103 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006096-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14974009
title: 4DHydro_Results01_Tetis_Po_7p5sec_daily_exp34_20070101_20221231

description: Modeling results with TETIS software, for Po River with a spatial resolution of 7.5 sec, and temporal resolution daily. Experiment 34. Forcing "mergedera5gpmsm2a". Calibrating methodology MOSCEM, calibrated variable SM+ET

Includes results for the following variables:



Discharge flux in m-3 s-1

Total evapotranspiration flux in kg m-2 s-1

Volumetric soil moisture content in percentage
DOI: 10.5281/zenodo.14974010
title: 4DHydro_Results01_Tetis_Po_7p5sec_daily_exp34_20070101_20221231

description: Modeling results with TETIS software, for Po River with a spatial resolution of 7.5 sec, and temporal resolution daily. Experiment 34. Forcing "mergedera5gpmsm2a". Calibrating methodology MOSCEM, calibrated variable SM+ET

Includes results for the following variables:



Discharge flux in m-3 s-1

Total evapotranspiration flux in kg m-2 s-1

Volumetric soil moisture content in percentage
DOI: 10.5281/zenodo.14974142
title: The Effect of Different Ways for Expressing Negation
DOI: 10.5281/zenodo.14974143
title: The Effect of Different Ways for Expressing Negation
DOI: 10.15468/dl.6ff4td
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-8.54992 11.78593,-8.55789 11.78535,-8.58652 11.76311,-8.59325 11.75153,-8.6033 11.74224,-8.62544 11.71484,-8.65225 11.68957,-8.68491 11.64948,-8.69363 11.6427,-8.69479 11.63971,-8.68917 11.63615,-8.68896 11.63256,-8.68167 11.63388,-8.67267 11.62873,-8.66829 11.62376,-8.64671 11.61728,-8.63708 11.6127,-8.63113 11.6071,-8.62683 11.5981,-8.62036 11.59057,-8.60486 11.5841,-8.60198 11.58439,-8.59588 11.59023,-8.59314 11.59088,-8.58562 11.59017,-8.56966 11.58209,-8.56217 11.58101,-8.55588 11.58355,-8.54355 11.58415,-8.52403 11.58326,-8.52258 11.5812,-8.51624 11.5802,-8.51591 11.58303,-8.5124 11.58673,-8.50437 11.58888,-8.50688 11.59765,-8.50428 11.59961,-8.49547 11.60163,-8.48686 11.59943,-8.48347 11.60139,-8.47834 11.5912,-8.47654 11.59153,-8.47759 11.595,-8.4794 11.59444,-8.48001 11.5963,-8.47688 11.59961,-8.47548 11.60467,-8.46791 11.60649,-8.44962 11.6253,-8.44733 11.62563,-8.4448 11.62307,-8.44555 11.629,-8.45186 11.63697,-8.45977 11.63654,-8.45849 11.64114,-8.46003 11.6463,-8.46413 11.64771,-8.46811 11.65582,-8.47119 11.65784,-8.46892 11.66364,-8.46265 11.6675,-8.45062 11.67102,-8.44764 11.67843,-8.45915 11.68088,-8.46771 11.67665,-8.47105 11.67706,-8.47489 11.67487,-8.47821 11.67588,-8.48156 11.67215,-8.4844 11.6728,-8.48664 11.67653,-8.48332 11.67849,-8.48318 11.68052,-8.4847 11.67881,-8.48792 11.67858,-8.49081 11.68169,-8.48966 11.68421,-8.48451 11.68547,-8.48171 11.69051,-8.48207 11.69342,-8.48705 11.69766,-8.48391 11.70414,-8.48581 11.70683,-8.49119 11.70113,-8.49368 11.7036,-8.49207 11.70925,-8.49377 11.71278,-8.49979 11.71696,-8.50581 11.71804,-8.50216 11.72389,-8.5035 11.72828,-8.4983 11.74221,-8.50612 11.75407,-8.50307 11.75521,-8.49669 11.75429,-8.50029 11.75729,-8.49907 11.76205,-8.4922 11.75966,-8.48743 11.76414,-8.49239 11.77394,-8.4921 11.7762,-8.48867 11.77842,-8.49453 11.77939,-8.49633 11.77683,-8.5014 11.78387,-8.49848 11.78774,-8.48933 11.78552,-8.48921 11.78714,-8.50469 11.78881,-8.5146 11.78315,-8.51602 11.78374,-8.51608 11.79176,-8.51432 11.79604,-8.51674 11.80056,-8.53172 11.7953,-8.54992 11.78593))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 48 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006098-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.58060/9qd2-c031
title: EVA project # 223 – 2024-09-30 Growth strategies of perennial plants - T. Herben
title: SELECTION 2024-11-07

description: Final approved selection from European Vegetation Archive (EVA, incl. ReSurveyEurope) database for this EVA project specified with selection date. The EVA data are available on request using procedure described at How to obtain data (https://euroveg.org/eva-database/obtaining-data).
DOI: 10.15468/dl.ht3cxh
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chilocorus canariensis Crotch, 1874"
 ]
}

 The dataset includes 62 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006099-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14650730
title: Scientific Publications in Water Research as Test Collection for Information Retrieval

description: We document the creation of two datasets consisting of scientific publications in the interdisciplinary field of water research, namely ThWIC-Chemistry and ThWIC-Hierarchy. Additional labels regarding the domain and particular attributes allow for measuring the topical diversity and the attributes' representation in data subsets.

Dataset components:



corpus: DOIs for the respecive publications

queries and information needs: from the chemistry domain

single relevance judgments


The ThWIC-Hierarchy dataset contains a topic hierarchy for keywords in water research, hierarchy labels for the corpus documents, and attribute labels additionally.
DOI: 10.5281/zenodo.14974181
title: diplocyclos_schliebenii_spades_01.fasta.gz
DOI: 10.5281/zenodo.14974182
title: diplocyclos_schliebenii_spades_01.fasta.gz
DOI: 10.5281/zenodo.14650729
title: Scientific Publications in Water Research as Test Collection for Information Retrieval

description: We document the creation of two datasets consisting of scientific publications in the interdisciplinary field of water research, namely ThWIC-Chemistry and ThWIC-Hierarchy. Additional labels regarding the domain and particular attributes allow for measuring the topical diversity and the attributes' representation in data subsets.

Dataset components:



corpus: DOIs for the respecive publications

queries and information needs: from the chemistry domain

single relevance judgments


The ThWIC-Hierarchy dataset contains a topic hierarchy for keywords in water research, hierarchy labels for the corpus documents, and attribute labels additionally.
DOI: 10.5281/zenodo.14974154
title: Scientific Publications in Water Research as Test Collection for Information Retrieval

description: We document the creation of two datasets consisting of scientific publications in the interdisciplinary field of water research, namely ThWIC-Chemistry and ThWIC-Hierarchy. Additional labels regarding the domain and particular attributes allow for measuring the topical diversity and the attributes' representation in data subsets.

Dataset components:



corpus: DOIs for the respecive publications

queries and information needs: from the chemistry domain

single relevance judgments


The ThWIC-Hierarchy dataset contains a topic hierarchy for keywords in water research, hierarchy labels for the corpus documents, and attribute labels additionally.
DOI: 10.5281/zenodo.14974179
title: Transcriptomics Datasets evaluated using IAN

description: We used two published RNA-Seq based transcriptomics datasets for evaluating IAN’s performance. The first study (Rosenbaum et al., 2021), provided a custom DEG list, generated by comparing uveitis patient transcriptomes against healthy controls . The second study (Zheng et al., 2022) provided raw RNA-Seq transcriptomics data generated by comparing Behcet’s disease (BD) patients and healthy controls. The BD RNA-Seq data was downloaded from NCBI GEO (GSE198533) and processed using the standard DESeq2 (Love et al., 2014) method. Both the datasets are shared in this DOI, for transparency and reproducibility.
DOI: 10.5281/zenodo.14974180
title: Transcriptomics Datasets evaluated using IAN

description: We used two published RNA-Seq based transcriptomics datasets for evaluating IAN’s performance. The first study (Rosenbaum et al., 2021), provided a custom DEG list, generated by comparing uveitis patient transcriptomes against healthy controls . The second study (Zheng et al., 2022) provided raw RNA-Seq transcriptomics data generated by comparing Behcet’s disease (BD) patients and healthy controls. The BD RNA-Seq data was downloaded from NCBI GEO (GSE198533) and processed using the standard DESeq2 (Love et al., 2014) method. Both the datasets are shared in this DOI, for transparency and reproducibility.
DOI: 10.5281/zenodo.13767156
title: Benchmarking Different QP Formulations and Solvers for Dynamic Quadrupedal Walking