-
161
GeoGraphNetworks: Shapefile-Derived Datasets for Accurate and Scalable Graphical Representations
منشور في 2025"…<br></p><p dir="ltr">Visual representation of each network along with the code to use these networks (in Notebooks) are hosted on the Github Profile: <a href="https://github.com/Harsh9650/GeoGraphNetworks" rel="noreferrer" target="_blank">https://github.com/Harsh9650/GeoGraphNetworks</a></p>…"
-
162
(A) Sampling locations and ranges of <i>I. feisthamelii</i> (purple) and <i>I. podalirius</i> (teal) butterflies.
منشور في 2025"…(B) Sampling locations of butterflies from the <i>Iphiclides</i> HZ. The dashed line represents the approximate HZ center, based on samples collected by Lafranchis et al. …"
-
163
Core data
منشور في 2025"…</p><p><br></p><p dir="ltr">For the 5′ UTR library, we developed a Python script to extract sequences and Unique Molecular Identifiers (UMIs) from the FASTQ files. …"
-
164
<b>Engineered Muscle-Derived Extracellular Vesicles Boost Insulin Sensitivity and Glucose Regulation</b>
منشور في 2025"…</p><p dir="ltr"><b>miR_path_target_enrichment.csv</b></p><p dir="ltr"><b>Description:</b> KEGG pathway enrichment analysis results of shared mRNA targets of miRNAs miR-16-5p, miR-122-5p and miR-486-5p ranked by their interaction score defined in our paper. this includes the pathway name, the enrichment p-value, number of genes found in the term and number of miRNAs targeting these genes</p><p dir="ltr"><b>Code/software</b></p><p dir="ltr">Data were analyzed using R-V4.0.4, Python-V3.9.2 and GraphPad software. miRNA analyses were run in R-V4.0.4 Differential expression analysis was conducted using the “DEseq2” package and corrected for multiple hypotheses by FDR. …"
-
165
Data Sheet 1_Nationwide epidemiological study of subarachnoid hemorrhage: trends in admissions, mortality, seasonality, costs, clipping, embolization, and the impact of COVID-19.pd...
منشور في 2025"…</p>Methods<p>This retrospective study analyzed secondary data from the Brazilian public health system (DataSUS) using ICD-10 code I60 for aSAH. Key metrics included the evaluation of admissions with time-series in Python, and mortality rates, procedures, and costs.…"
-
166
Electrical Tactile Dataset (Piezoelectric and Accelerometer) for textures
منشور في 2025"…</p><p dir="ltr">X shape: (Number, frame, sensor index)</p><p dir="ltr">y shape: (Number,)</p><p dir="ltr">All files are in compressed numpy format. Python users can load in the dataset using the code provided in the ReadMe.…"
-
167
Summary of Tourism Dataset.
منشور في 2025"…The proposed TourVaRNN integrates variational autoencoders to capture latent variables representing visitor preferences and spending habits, while recurrent neural networks model complex temporal dependencies in tourism data. …"
-
168
Segment-wise Spending Analysis.
منشور في 2025"…The proposed TourVaRNN integrates variational autoencoders to capture latent variables representing visitor preferences and spending habits, while recurrent neural networks model complex temporal dependencies in tourism data. …"
-
169
Hyperparameter Parameter Setting.
منشور في 2025"…The proposed TourVaRNN integrates variational autoencoders to capture latent variables representing visitor preferences and spending habits, while recurrent neural networks model complex temporal dependencies in tourism data. …"
-
170
Marketing Campaign Analysis.
منشور في 2025"…The proposed TourVaRNN integrates variational autoencoders to capture latent variables representing visitor preferences and spending habits, while recurrent neural networks model complex temporal dependencies in tourism data. …"
-
171
Visitor Segmentation Validation Accuracy.
منشور في 2025"…The proposed TourVaRNN integrates variational autoencoders to capture latent variables representing visitor preferences and spending habits, while recurrent neural networks model complex temporal dependencies in tourism data. …"
-
172
Integration of VAE and RNN Architecture.
منشور في 2025"…The proposed TourVaRNN integrates variational autoencoders to capture latent variables representing visitor preferences and spending habits, while recurrent neural networks model complex temporal dependencies in tourism data. …"
-
173
Phylogenomics of aquatic bacteria
منشور في 2025"…</p> <p><br></p> <p>all_MSG_ids.txt - a text file with names of all the representative MAGs within all the MSG pairs.</p> <p><br></p> <p>filter_MSGs.py - a Python script to extract the MAGs from within the MSGs (given all_MSG_ids.txt) from a folder containing a larger set of sequences.…"
-
174
Optical Tactile (TacTip) Dataset for texture classification
منشور في 2025"…</p><p dir="ltr">X shape: (Number, frame, h, w)</p><p dir="ltr">y shape: (Number,)</p><p dir="ltr"><br></p><p dir="ltr">All files are in compressed numpy format. Python users can load in the dataset using the code provided in the ReadMe.…"
-
175
Image 1_An explainable analysis of depression status and influencing factors among nursing students.png
منشور في 2025"…Data cleaning was performed in Excel, and statistical analyses were conducted using SPSS Statistics version 27.0 and Python 3.9.</p>Results<p>The incidence of depression among nursing students is 28.60%. …"
-
176
Nucleotide analogue tolerant synthetic RdRp mutant construct for Surveillance and Therapeutic Resistance Monitoring in SARS-CoV-2
منشور في 2025"…Biopython: Freely available Python tools for computational molecular biology and bioinformatics. …"
-
177
<b>Challenges and Strategies for the Management of Quality-Oriented Education Bases in Universities under Informatization Background</b>
منشور في 2025"…Final codes, together with basic demographic attributes supplied by the institutions’ HR offices, were exported to Excel and cleaned in Python 3.10 using pandas 2.2.1 and numpy 1.26. …"
-
178
Indirect Reciprocity and the Evolution of Prejudicial Groups
منشور في 2024"…This is conducted through an agent based model over a population of agents that interact through a `donation game' in which resources are donated to third parties at a cost without receiving a direct benefit. …"
-
179
Daily histograms of wind speed (100m), wind direction (100m) and atmospheric stability derived from ERA5
منشور في 2025"…The following bins (left edges) have been used to create the histograms:</p><p dir="ltr">Wind speed: [0, 40) m/s (bin width 1 m/s)<br>Wind direction: [0,360) deg (bin width 15 deg)<br>Stability: 5 discrete stability classes (1: very unstable, 2: unstable, 3: neutral, 4: stable, 5: very stable)</p><p><br></p><p dir="ltr"><b>Main Purpose:</b> The dataset serves as minimum input data for the CLIMatological REPresentative PERiods (climrepper) python package (https://gitlab.windenergy.dtu.dk/climrepper/climrepper) in preparation for public release).…"
-
180
Collocation and Contextual Analysis of 'Anglais' in Algerian and French Press Corpora
منشور في 2025"…</p><p dir="ltr">Usage Notes: The file is in CSV format, suitable for analysis with tools like R, Python (pandas), or spreadsheet software. …"