cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/f94xs4hrtb
title: Forecast of Daily Reference Crop Evapotranspiration Using Universal Deep Learning Models in China

description: Evapotranspiration is a key process in ecosystems, and accurate prediction of short-term daily reference crop evapotranspiration (ETo) is crucial for real-time irrigation decision-making and regional water resource allocation. Due to the complex nonlinear relationship between meteorological factors and ETo, deep learning models are often trained using meteorological observation data from several to dozens of stations to estimate ETo at the station scale. These ETo estimation models are then driven by weather forecast data to achieve ETo prediction.
we first evaluated the accuracy of daily temperature forecasts for the next 15 days based on four years of weather forecast data collected from 2,381 stations. Subsequently, based on different input variables from this stations, we developed three ETo estimation cases and five ETo forecast cases. For each case, five time series DL models derived from improvements to RNNs were employed (i.e., LSTM, BiLSTM, GRU, CNN-BiLSTM, CNN-BiLSTM-Attention). The results can be concluded as below.
The results revealed that the differences in ETo estimating performance between the DL models were significantly smaller than the variations between different training strategies.With the average Root Mean Square Error (RMSE) of the five DL models decreasing from 0.55 mm d-1 to 0.48 mm d-1. Furthermore, when we directly use a larger volume of weather forecast data to train the models, the forecasting accuracy of ETo has been significantly improved, and among the five DL models, the GRU performed the best. Specifically, the RMSE values for the GRU model's future ETo forecasts on the 1st, 4th, 7th, and 15th days have decreased from 0.70, 0.87, 1.00, and 1.33 mm d-1 to 0.51, 0.56, 0.61, and 0.67 mm d-1, respectively. 
We have provided a portion of weather forecast data and historical meteorological data for your reference and use. These data cover multiple key meteorological indicators such as temperature, humidity, wind speed, and precipitation, with high accuracy and reliability. Additionally, we offer a pre-trained model based on deep learning algorithms, specifically designed for predicting short-term daily reference crop evapotranspiration (ETo). In the "research" folder, there are three main sections: the Estimating Model, the Forecasting Model, and the Data. The Data section includes a portion of the data we use for model training, comprising a complete set of meteorological data necessary for calculating reference evapotranspiration. The Estimating Model section contains models designed for estimating reference evapotranspiration, while the Forecasting Model section includes models used for forecasting reference evapotranspiration.
You can utilize this model free of charge to enhance your real-time irrigation decision-making and regional water resource allocation efforts. By providing these data and the model, we aim to facilitate and assist your related research and practices.
DOI: 10.25452/figshare.plus.19297701.v2
title: EEG files (separated per blocks) from the study "effects of TBS of the DLPFC with TMS-EEG"

description: This dataset contains EEG recordings from 24 subjects that participated in an experiment designed to investigate the effects of intermittent theta burst stimulation (iTBS) and continuous theta burst stimulation (cTBS) (for a detailed description please refer to the original article doi: https://doi.org/10.1038/s41597-022-01820-6). <br> EEG recordings separated into TMS-EEG and resting-state blocks of 5 experimental sessions from 24 participant (Zipped). Each session recording is composed of 10 .mat files named according to the experiment timeline described in Figure 1 of https://doi.org/10.1101/2021.06.21.449219. The filenames include the subject number (sub-X, from 1 to 24), session number (ses-Y, from 1 to 5) and the correspondent experimental block whose nomenclature is described below. TMS-EEG was assessed in blocks of 100 single TMS pulses delivered once every 4 seconds with a 10% jitter acquired pre-TBS (pre-tep_run-01) and at 2- (post-tep_run-01), 15- (post-tep_run-02), and 30-min post-TBS (post-tep_run-03). Eyes-open resting-state EEG data was recorded for four minutes at the start of the session (pre-rest_run-01 and pre-rest_run-02) and after all four blocks of single-pulse TMS (post-rest_run-01, post-rest_run-02, post-rest_run-03). <br> Documentation files: <br> <strong>README.txt</strong>: Description of dataset and its experimental sessions, MATLAB scripts, getting started (how to use the codes) and contact for queries. <br> <strong>dataset_description.csv</strong>: Name of experiment, reference to manuscript, authors and basic description of the datasets. For a detailed description please refer to the original article (doi: https://doi.org/10.1101/2021.06.21.449219) and metadata file. <br> <strong>participants.csv</strong>: Spreadsheet with the participant number, demographic information (age, gender, ethnicity and years of education) and experimental sessions' information (RMT, TBS intensity, TEP intensity, sessions dates, session condition and adverse events) for the 24 subjects.<br> <br> <strong>metadata summary.csv</strong>: Measurement(s); Technology Type(s); Factor Types(s); Sample Characteristic - Organism.<br> <br> See related materials in Collection at: https://doi.org/10.25452/figshare.plus.c.5910329
DOI: 10.25573/data.11794401.v4
title: Panama Canal Meteorological Data_Balboa FAA

description: Data from the Panama Canal Authority (ACP) Balboa FAA (Albrook) meteorological station.<br><br>Most ACP meteorological stations provide the following parameters: air temperature, wind speed and direction, dew point, relative humidity, air pressure, solar radiation. Some stations, for some years (depending on what parameters the ACP made available that year) include interval max/min values, in addition to the interval average values.<br><br>Data have been freely provided by the Panama Canal Authority and are in the public domain.<br>Any publication using these data should credit the Panama Canal Authority.<br><br>Most data have been curated by STRI's Physical Monitoring Program.<br>All data are provided on an 'as is' basis.<br><br>
DOI: 10.6084/m9.figshare.25569603.v3
title: Supporting data for: "Rainfall thresholds for postfire debris-flow initiation vary with hydroclimate"

description: <pre><pre>README for supporting data for "Rainfall thresholds for postfire debris-flow initiation vary with hydroclimate"<br>Cavagnaro, D.B., McCoy, S.W., Lindsay, D.N., McGuire, L.A., Trugman, D.T.<br><br>------<br>DATA:<br><br>DFObsHydroclimatePubNew_attributes.xlsx<br>Excel file containing data on each event as well as associated climatological metrics.<br><br>ROC_by_fire_computed.csv<br>CSV file containing computed thresholds for each fire as well as summary statistics of relevant metrics.<br><br>raster1yr15ma_10k.txt<br>TXT file containing Atlas14 1yr 15min rainfall intensities for the full study area.<br><br>rasterprism_10k.txt<br>TXT file containing PRISM mean annual precipitation for the full study area.<br><br>perim_a14.txt<br>TXT file containing Atlas14 1yr 15min rainfall intensities for burned areas.<br>All cells outside of burn perimeters are set to NULL (-9999).<br><br>perim_prism.txt<br>TXT file containing PRISM mean annual precipitation for burned areas.<br>All cells outside of burn perimeters are set to NULL (-9999).<br><br>a14_f1900_10d.asc<br>ASC file containing Atlas14 1yr 15min rainfall intensities for burned areas above 10 degrees slope.<br>All cells outside of burn perimeters and/or less than 10 degrees slope are set to NULL (-9999).<br><br>prism_f1900_10d.asc<br>ASC file containing PRISM mean annual precipitation for burned areas above 10 degrees slope.<br>All cells outside of burn perimeters and/or less than 10 degrees slope are set to NULL (-9999).<br><br>GaugesForSyntheticExperiment folder<br>Folder containing CSV files of precipitation data for selected gauges across the study area.<br><br>------<br>CODES:<br><br>ThresholdFinder_PUBLIC.py<br>Uses ROC method to compute fire-wide thresholds and creates Figures 2 and 4.<br><br>ClimateKDE_PUBLIC.py<br>Plots kernel density distributions of climate parameters, calculates spatial density of observations, and creates Figure 5.<br><br>SyntheticThresholds_PUBLIC.py<br>Uses gauge data to perform synthetic threshold experiment and creates Figure 3.<br><br>HydroclimateDecisionTree_PUBLIC.py<br>Uses decision tree method to compute variable importance and creates Figure 6.</pre></pre>100%<br>
DOI: 10.6084/m9.figshare.28015970.v4
title: Supplementary Data File 7: Large muscle section area immunohistochemistry

description: Large muscle section area immunohistochemistry data from the study "Mitochondrial complex I deficiency occurs in skeletal muscle of a subgroup of individuals with Parkinson’s disease".
DOI: 10.17632/4nvsv9jdgt
title: Advanced imaging in SA of the adult native hip joint

description: Data used for "Advanced imaging shows extra-articular abscesses in two out of three adult patients with septic arthritis of the native hip joint."
DOI: 10.17632/bvp4vrn9gc
title: Operational Data of an Energy Community Under P2P Trading and Flexibility Market Models

description: This dataset contains the annual input data used in the study “Statistical Analysis of an Energy Community's Operations in P2P Energy Trading and Flexibility Markets”. It includes hourly electricity demand, PV generation, thermal profiles, and DER configurations for 55 users in a low-voltage distribution network. The data supports the replication of optimization models analyzing peer-to-peer trading and flexibility services provision.
DOI: 10.6084/m9.figshare.28030427.v1
title: Metabolite BridgeDb ID Mapping Database (20241215)

description: BridgeDb ID mapping database for metabolites, using HMDB 5.0 (Release of April 2024), ChEBI (Release of December 2024), and Wikidata (15 December 2024) as data sources.
DOI: 10.23641/asha.22044095.v1
title: Speech errors in children with cleft palate (Lien et al., 2023)

description: <strong>Purpose: </strong>The purpose of this study was to describe the frequency of speech production errors in children with cleft palate with or without cleft lip (CP±L) and explore characteristics related to speech production errors. <strong>Method: </strong>Fifty-six children with nonsyndromic CP±L between the ages of 4;0 and 7;11 (years;months) were included in this study. The children’s audio-recorded production of a sentence repetition task was transcribed using narrow transcription and coded for speech error type. <strong>Results: </strong>Children used, on average, 18 speech errors during the sentence repetition task that sampled 59 phoneme targets. On average, phonological errors were used most frequently, with nine errors per sample, followed by anterior oral speech errors at four errors per sample, and non-oral compensatory errors at three errors per sample. Individual-level characteristics including age and cleft type were related to frequency of phonological errors and anterior oral speech errors, respectively. One treatment-level characteristic, hypernasality, was related to use of non-oral compensatory errors and passive speech errors. <strong>Conclusions: </strong>This study identified the most frequent speech production errors as phonological errors, followed by anterior oral speech errors and non-oral compensatory errors. Individual-level and treatment-level characteristics were related to speech production errors. Future research should explore additional characteristics that may influence use of speech production errors. Clinically, this study adds information regarding speech error types that should be monitored throughout cleft care, including phonological errors that were most prevalent among this sample. <strong>Supplemental Material S1.</strong> Articulation disorder status and associated speech error frequency. Lien, K. M., Scherer, N. J., Cordero, K. N., & Sitzman, T. J. (2023). Speech production errors in children with cleft palate with or without cleft lip. <em>Journal of Speech, Language, and Hearing Research, 66</em>(3), 849–862. https://doi.org/10.1044/2022_JSLHR-22-00264
DOI: 10.4121/uuid:ed788f1e-fac4-4d8e-9229-453792d67c61
title: Precipitation oxygen isotope of HeShang Site in 2011-2018

description: This dataset provides the data of precipitation oxygen isotope, air temperature and precipitation amount in ‘HeShang Site’, a comprehensive observation station that near the Heshang Cave where important speleothem were previously obtained, from May 2011 to April 2018. This data is the supporting information for East Asian Precipitation δ¹⁸O relationship with various monsoon indices.
DOI: 10.6084/m9.figshare.25959061.v1
title: Replication Data for: <i>Prochlorococcus marinus</i> responses to light and oxygen manuscript.

description: This dataset pertains to the manuscript: "<i>Prochlorococcus marinus</i> responses to light and oxygen" <i>Prochlorococcus marinus</i>, the smallest picocyanobacterium, comprises multiple clades with distinct niches across tropical and sub-tropical oligotrophic ocean regions, including Oxygen Minimum Zones. Ocean warming may open permissive temperatures in new, poleward photic regimes, along with expanded Oxygen Minimum Zones. We used ocean protein portal data to help guide testing of <i>Prochlorococcus marinus</i> growth across a matrix of peak irradiances, photoperiods, spectral bands and dissolved oxygen. MED4 from Clade HLI requires greater than 4 h photoperiod, grows at 25 µmol O<sub>2</sub> L<sup>-1</sup> and above, and exploits high cumulative diel photon doses, yet shows accelerated growth when the cost of photoinactivation is lowered under red, vs. blue, actinic light. MED4 relies upon an alternative oxidase to balance electron transport, which may exclude it from growth under our lowest, 2.5 µmol O<sub>2</sub> L<sup>-1</sup>, condition. SS120 from Clade LLII/III is restricted to low light under full 250 µmol O<sub>2</sub> L<sup>-1</sup>, shows expanded light exploitation under 25 µmol O<sub>2</sub> L<sup>-1</sup>, but is excluded from growth under 2.5 µmol O<sub>2</sub> L<sup>-1</sup>. Intermediate oxygen suppresses the cost of PSII photoinactivation, and enzymatic production of H<sub>2</sub>O<sub>2</sub> in SS120, which has limited genomic capacity for PSII and DNA repair. MIT9313 from Clade LLIV is restricted to low blue irradiance under 250 µmol O<sub>2</sub> L<sup>-1</sup>, but exploits much higher irradiance under red light, or under lower O<sub>2</sub> concentrations, conditions which slow photoinactivation of PSII and production of reactive oxygen species.
DOI: 10.17632/3ctsn9ww67
title: DATA SET: Isobolographic analysis of the cytoprotective effect of dapsone and cannabidiol alone or combination upon oxygen-glucose deprivation/reoxygenation model in SH-SY5Y cells.

description: The study aimed to determine the degree of interaction by isobolographic analysis of co-administration in an OGD/R cell model using human SH-SY5Y neuroblastoma cells. To improve the therapeutic effect of both drugs when administered in combination. 

Highlights
1. The glucose and oxygen deprivation paradigm with reoxygenation was established in the cell line SH-SY5Y.
2. Cells were tested for dapsone and cannabidiol cytotoxicity and neuroprotection concentrations.
3. Isobolographic analysis showed that dapsone and cannabidiol synergistically protect the SH-SY5Y cells.
4. In an OGD/R model in SH-SY5Y cells, DDS-CBD reduced LDH, ROS, and caspase 3
Instructions.
 All experiments were performed in triplicate, each repeated at least three times.
In all cases, an exploratory data analysis was performed to determine whether or not there was a normal distribution, applying the Kolmogorov-Smirnov test and homogeneity of standard error, applying the Levene test. Once this was determined, parametric statistical tests such as one-way ANOVA, followed by Dunnett post hoc test and mortality in SH-SY5Y cells analysis, LC50 and EC50 values (with 95% confidence limits) were determined by Probit regression analyses. Data was analyzed using SPSS, version 25.0 software. The results of this study were performed in triplicate, with three repetitions, and were expressed as means ± SEM with A significance level of *p &lt; 0.05, **p &lt; 0.01, ***p &lt; 0.001
DOI: 10.17632/r7tsv5sz8v
title: Perl script for creating Pater's data files on displacement, stress and velocities, with the data files

description: A self-explanatory perl script with data files in plain text for displacement, velocities and stresses of crystallographic layers in a chain of strings and masses model. tar.gz format.
DOI: 10.6084/m9.figshare.2062551.v1
title: Data Science Tweets

description: Quantum Tunnel TweetsThe data set contains tweets sourced from @quantum_tunnel and @dt_science as a demo for classifying text using Naive Bayes. The demo is detailed in the book <i>Data Science and Analytics with Python </i>by Dr J Rogel-Salazar.Data contents:<b>Train_QuantumTunnel_Tweets.csv</b>: Labelled tweets for text related to "Data Science" with three features:DataScience: [0/1] indicating whether the text is about "Data Science" or not.Date: Date when the tweet was publishedTweet: Text of the tweet<b>Test_QuantumTunnel_Tweets.csv</b>: Testing data with twitter utterances withouth labels:id: A unique identifier for tweetsDate: Date when the tweet was publishedTweet: Text for the tweetFor further information, please get in touch with Dr J Rogel-Salazar.
DOI: 10.6084/m9.figshare.25953937.v1
title: Dataset of the Fifth National Bank of Springfield

description: This is the dataset in the book: Albright, S. C., Winston, W. L., Zappe, C. J., & Broadie, M. N. (2011). <i>Data analysis and decision making</i> (Vol. 577). South-Western/Cengage Learning.<br>The data was collected because the Fifth National Bank of Springfield is facing a gender discrimination suit. The data are based on a real case from the year 1995 except for the bank's name being changed. The problem being considered here is whether the data provide evidence that females will face discrimination in terms of salary.
DOI: 10.6084/m9.figshare.26325646.v2
title: MRS UAV Experiments - UVDAR Marker Detection Dataset - Raw Camera Recordings

description: A dataset recorded during real-world UAV swarming and agile flight experiments in a desert environment at noon. The dataset consists of multiple UV camera recordings with a resolution of 752x480, taken at 60 FPS, containing 83914 8-bit raw image samples in total.Related paper: "Fast Marker Detection for UV-Based Visual Relative Localisation in Agile UAV Swarms".
DOI: 10.6084/m9.figshare.29003231.v1
title: Phyllosphere Genomics Dataset

description: Genomic data including gene coordinates, annotations, rRNAs, fnas, and faas for phyllosphere microbes
DOI: 10.6084/m9.figshare.27386169.v1
title: Markov-switching models for heat wave detection and projection in Friuli Venezia Giulia, Italy - Code to reproduce the analysis

description: Heat waves, generally defined as prolonged periods of extreme temperatures, have hit several areas of the world and have been observed more frequently in recent decades. Several proposals appeared in the literature for classifying heat waves, mainly related to expert-based and area-specific fixed thresholds or quantile-based approaches. Summer temperature patterns exhibit different stochastic processes, which can be determined through a latent variable that describes the membership of each observation to a normal or a high-temperature regime. We accommodate these characteristics by exploiting a Markov-switching Bayesian additive model for tail behavior modeling and aiming at the probabilistic classification of heat waves. We illustrate the proposal by analyzing the maximum daily temperatures in four locations of the Italian region Friuli Venezia Giulia. We use the model to describe past behavior and produce scenario-based projections.
DOI: 10.6084/m9.figshare.29162264.v1
title: Detailed data on Sioux Falls

description: Detailed data on Sioux Falls as inputs to the case study.
DOI: 10.17632/744kyxr63n
title: RICO-D-24-00268 Video Experiements

description: This is some experimental videos for Qdrone2 using the Fuzzy-PD & PD algorithms under disturbance (200g payload, wind of the ceiling fan)
DOI: 10.17632/d6g44yftxj
title: Estimated outdoor PM2.5 concentration data by using mobile phone images in Bangkok, Thailand

description: Estimating PM2.5 concentrations from images using two sets of images collected at a location. Whereas, PM2.5 concentrations from a nearby monitor stations in Bangkok which collected at the same time were used as ground truth. Hourly PM2.5 concentration data was collected from an air pollution monitoring station which operated by the Pollution Control Department (PCD) of Thailand. The PM2.5 concentrations in the air were measured in μg/m3 from the begin of January 2020 until the end of March 2020 were used as Ground truth data. Sky images were taken with the mobile phone camera at the top of the G Tower building at a fix location with manually marked reference regions. The image data consists of 230 photos taken over 3 months at the same period of the PM2.5 concentration data in Bangkok. The images were captured by ourselves using a smartphone model (iPhone 6 Plus) at the same time everyday (7:00 AM and 6:00 PM local time) for three months. Most of the weather conditions in photos are sunny because during the winter season in Thailand. In order to evaluate our approach, the PM2.5 concentration and the sky image data were randomly divided into two sets: 70% for training dataset and 30% for test dataset. The training dataset is used for training a Convolutional Neural Networks (CCN) by using the Python software program, while the test dataset is used for evaluation.
DOI: 10.17632/phyywxcyrv
title: Data for: Numerical Analysis of Different Fracturing Mechanism between Supercritical CO2 and Water-based Fracturing Fluids

description: The data is for the figures in the paper.
DOI: 10.6084/m9.figshare.29002574.v1
title: <b>Computed Tomography Images</b>

description: Categorizing brain strokes from computed tomography (CT) images is one of these complex problems. Since classification accuracy is crucial, computer vision researchers are developing several methods, yet identifying brain strokes with high accuracy continues to take time.
DOI: 10.17632/62vm5ys4nr
title: PROPUESTA DE UN RECURSO EDUCOMUNICATIVO PARA EL DESARROLLO DE LA FORMACIÓN ÉTICO-DISCURSIVA EN ESTUDIANTES DE COMUNICACIÓN SOCIAL DE LA UNIVERSIDAD SANTIAGO DE CALI

description: trabajo de grado para obtar el titulo de comunicadora social
DOI: 10.6084/m9.figshare.12960308.v1
title: Database of FTIR spectra peak assignment for major chemical functional groups

description: Functional groups on materials and cell surface play important roles in mediating a variety of interactions between different materials as well as between cells and materials. Thus, characterization of type and relative abundance of different chemical functional groups on material and cell surface play important roles in helping us formulate hypothesis governing material-cell interactions, as well as understanding fundamental biomaterial-cell interactions. To this end, Fourier transform infrared (FTIR) spectroscopy is the workhorse instrumented method for characterizing material and cell surface for presence of a broad range of chemical functional groups and their relative abundance. This works reports a small collated database of the wavenumber specific to each type of functional group, which would help facilitate interpretation of FTIR spectrum, as well as semi-quantitative analysis of relative abundance of chemical functional groups.
DOI: 10.6084/m9.figshare.28444865.v2
title: Corvus_frugilegus_noise_ALAN_temperature

description: Investigation of the influence of noise, ALAN and temperature on the choice of breeding trees by rooks (<i>Corvus frugilegus</i>) in urban areas in Germany.