Find research datasets worth reusing

Fake accounts activity

This dataset contains the IDs of about 5,458,582 tweets from 23,582 fake accounts for sale on buyaccs.com and active during 2020. Refer to the paper below for more details. Mazza, Michele, Guglielmo Cola, and Maurizio Tesconi. "Ready-to-(ab) use: From fake account trafficking to coordinated inauthentic behavior on Twitter." Online Social Networks and Media 31 (2022): 100224. --- Files --------------------------------------------------------------------- * tweets.csv      List of tweets produced by monitored fake accounts, each with       "user.id_str"   id of the user who posted the tweet;       "id_str"        tweet id. * users.csv     List of monitored fake accounts, each with       "user.id_str"   user account id;       "cib"           if present, this label identifies a specific coordinated                        and inauthentic behavior, as described in the research article;       "user.meta.account_category"  label indicating the category assigned by the merchant.

opencc-by-4.0Jan 2022View details →

The adapted Activity-By-Contact model for enhancer-gene assignment and its application to single-cell data

In our work, we implemented the ABC-model and could show that one assay for measuring the openness of enhancers is sufficient. Further, we propose a generalised calculation of the ABC-score, which describes enhancer activity in a gene-specific manner, and which includes all TSS, without requiring any additional data. We combined our implementation of the ABC-score with an approach to quantify TF binding affinity into STARE: a framework to derive TF affinities to genes. STARE was also designed for potential application on single-cell data. You can find the code in our <a href="https://github.com/schulzlab/stare">GitHub repository</a> and more details in our <a href="https://doi.org/10.1093%2Fbioinformatics%2Fbtad062">publication</a>. We provide the data for the validation of our ABC-implementation on two CRISPR-screens. We also provide the results of our analysis of single-cell data of the human heart with STARE. All data is in hg19. Content: <ul> <li>CRISPRi_screens: One file for each CRISPRi-screen with interactions that were used to plot precision-recall curves, containing columns for different ABC scoring versions.</li> <li>Enformer: Similar to the CRISPRi_screens, but containing columns for different calculations for Enformer's predicted expression change upon in silico mutagenesis of the enhancer region.</li> <li>K562_CandidateEnhancer: K562 enhancer with the 4th column for enhancer activity, one file for each activity representation that was measured.</li> <li>K562_ABC_Predictions: Regular ABC-scores and generalised ABC-scores for each activity measurement. The files contain all scored interactions for a 10MB window, without any cut-off. We also included the results of the implementation of the ABC-score of Fulco et al. (2019).</li> <li>STARE_Hocker_*: Whole STARE output for human heart single-cell data, one for regular ABC, generalised ABC, generalised ABC with average Hi-C matrix and one based on co-accessibility analysis. All approaches were run with a 5 MB window (except for GeneralisedABC500kb), the ABC-based runs with a score cut-off of 0.02. Each folder contains two subdirectories, one for the ABC-scoring and one for the Gene-TF affinity matrices. The 'ABC_output' also contains a GeneInfo file for each cell type, summarising different attributes per gene.</li> <li>INVOKE_Hocker_*: Folder with the input and output of INVOKE (see https://github.com/schulzlab/tepic), based on the STARE runs. CS genes stands for cell type-specific genes, defined as genes with a z-score across cell types of ≥ 2 and TPM ≥ 0.5. The INVOKE commands were as follows: <ul> <li>Rscript INVOKE.R --dataDir=<TF-Gene matrix> --outDir=<out_path> --response=Expression --regularization=E --performance=TRUE --outerCV=10 --seed=1234</li> </ul> </li> </ul> Importantly, the results are based on data from the following publications: <ul> <li>CRISPRi-screens: <ul> <li>Gasperini, Molly, Andrew J. Hill, José L. McFaline-Figueroa, Beth Martin, Seungsoo Kim, Melissa D. Zhang, Dana Jackson, et al. “A Genome-Wide Framework for Mapping Gene Regulation via Cellular Genetic Screens.” Cell 176, no. 1–2 (January 2019): 377-390.e19. https://doi.org/10.1016/j.cell.2018.11.029.</li> <li> Schraivogel, Daniel, Andreas R. Gschwind, Jennifer H. Milbank, Daniel R. Leonce, Petra Jakob, Lukas Mathur, Jan O. Korbel, Christoph A. Merten, Lars Velten, and Lars M. Steinmetz. “Targeted Perturb-Seq Enables Genome-Scale Genetic Screens in Single Cells.” Nature Methods 17, no. 6 (June 2020): 629–35. https://doi.org/10.1038/s41592-020-0837-5. </li> <li> Fulco, Charles P., Joseph Nasser, Thouis R. Jones, Glen Munson, Drew T. Bergman, Vidya Subramanian, Sharon R. Grossman, et al. “Activity-by-Contact Model of Enhancer–Promoter Regulation from Thousands of CRISPR Perturbations.” Nature Genetics 51, no. 12 (December 2019): 1664–69. https://doi.org/10.1038/s41588-019-0538-0. </li> </ul> </li> <li>Enformer model: Avsec, Žiga, Vikram Agarwal, Daniel Visentin, Joseph R. Ledsam, Agnieszka Grabska-Barwinska, Kyle R. Taylor, Yannis Assael, John Jumper, Pushmeet Kohli, and David R. Kelley. “Effective Gene Expression Prediction from Sequence by Integrating Long-Range Interactions.” Nature Methods 18, no. 10 (October 2021): 1196–1203. https://doi.org/10.1038/s41592-021-01252-x.</li> <li>K562 predictions and average Hi-C matrix: Fulco, Charles P., Joseph Nasser, Thouis R. Jones, Glen Munson, Drew T. Bergman, Vidya Subramanian, Sharon R. Grossman, et al. “Activity-by-Contact Model of Enhancer–Promoter Regulation from Thousands of CRISPR Perturbations.” Nature Genetics 51, no. 12 (December 2019): 1664–69. https://doi.org/10.1038/s41588-019-0538-0.</li> <li>Hi-C matrix for K562 predictions: Rao, S. et al. (2014). A 3D Map of the Human Genome at Kilobase Resolution Reveals Principles of Chromatin Looping. Cell, 159(7), 1665–1680</li> <li>STARE and INVOKE runs: Hocker, J. D. et al. (2021). Cardiac cell type–specific gene regulatory programs and disease risk association. Science Advances, 7(20), eabf1444</li> <li>H3K27ac HiChIP for STARE runs: Anene-Nzelu, C. G. et al. (2020). Assigning Distal Genomic Enhancers to Cardiac Disease–Causing Genes. Circulation, 142(9), 910–912</li> <li>INVOKE software: Combining transcription factor binding affinities with open-chromatin data for accurate gene expression prediction Schmidt et al., Nucleic Acids Research 2016; doi: 10.1093/nar/gkw1061</li> </ul>

opencc-zeroDec 2022View details →

Dynamic structure of motor cortical neuron co-activity carries behaviorally relevant information

(This is the dataset used in <a href="https://doi.org/10.1101/2022.05.18.492501" rel="noopener" title="Dynamic Structure Of Motor Cortical Neuron Co-Activity Carries Behaviorally Relevant Information">Dynamic Structure Of Motor Cortical Neuron Co-Activity Carries Behaviorally Relevant Information</a>, Abstract below) Skillful, voluntary movements are underpinned by computations performed by networks of interconnected neurons in the primary motor cortex (M1). Computations are reflected by patterns of co-activity between neurons. Using pairwise spike time statistics, co-activity can be summarized as a functional network (FN). Here, we show that the structure of FNs constructed from an instructed-delay reach task in non-human primates are behaviorally specific: low dimensional embedding and graph alignment scores show that FNs constructed from closer target reach directions are also closer in network space. Using short intervals across a trial we constructed temporal FNs and found that temporal FNs traverse a low-dimensional subspace in a reach-specific trajectory. Alignment scores show that FNs become separable and correspondingly decodable shortly after the instruction cue. Finally, we observe that reciprocal connections in FNs transiently decrease following the instruction cue consistent with the hypothesis that information external to the recorded population temporarily alters the structure of the network at this moment.

opencc-zeroDec 2022View details →

Data for: Skin bacterial microbiome diversity predicts lower activity levels in female, but not male, guppies, Poecilia reticulata

While the link between the gut microbiome and host behaviour is well established, how the microbiomes of other organs correlate with behaviour remains unclear. Additionally, behaviour–microbiome correlations are likely sex-specific because of sex differences in behaviour and physiology, but this is rarely tested. Here, we tested whether the skin microbiome of the Trinidadian guppy, Poecilia reticulata , predicts fish activity level and shoaling tendency in a sex-specific manner. High-throughput sequencing revealed that the bacterial community richness on the skin (Faith's phylogenetic diversity) was correlated with both behaviours differently between males and females. Females with richer skin-associated bacterial communities spent less time actively swimming. Activity level was significantly correlated with community membership (unweighted UniFrac), with the relative abundances of 16 bacterial taxa significantly negatively correlated with activity level. We found no association between skin microbiome and behaviours among male fish. This sex-specific relationship between the skin microbiome and host behaviour may indicate sex-specific physiological interactions with the skin microbiome. More broadly, sex specificity in host–microbiome interactions could give insight into the forces shaping the microbiome and its role in the evolutionary ecology of the host.

Mars Dust Activity Database

<table> <tbody> <tr> </tr> <tr> <td> Version 1.1 of the Mars Dust Activity Database (MDAD, v1.1) includes storm boundaries for every instance from the Mars Color Imager (MARCI) era of <a href="http://doi.org/10.7910/DVN/F8R2JX">Version 1.0 of the MDAD</a> (Mars Years 28–32).  The dataset is organized into five tar files, one for each Mars year.  Two formats are provided in every tar file and provide equivalent data.  A netcdf file (*.nc) contains a mask of the dust events on each sol of the Mars Year (soy) in an array called "MDAD," along with a string vector of the name of the sol from the Mars Daily Global Map (MDGM) database in a variable called "dayList," and an array of values in a variable called "timeList" of the time of the sol containing:  start soy, end soy, mean soy, median soy, start areocentric longitude (Ls), end Ls, mean Ls, median Ls. The MDAD mask has dimensions time x longitude (3600 points) x latitude (1801 points).  The length of the time dimension varies across years:  MY 28 (340), MY 29 (551), MY 30 (616), MY 31 (623), MY 32 (358).  The dayList and timeList variables have the same time dimension length as the MDAD masks.  The mask variable is in uint8 (unsigned byte) format and may be converted directly to unsigned int upon reading.  Values of (255) indicate missing pixels of the MDGM.  A value of (0) indicates no dust instances.  Values ranging 1–133 are the number portion of the member ID to connect the mask back to MDAD v1.0.  Values ranging 134–250 are splitting members with the member ID of (mask value - 133)b.  Each Mars-year bundle also contains a folder of *.csv files, each of which corresponds to a single dust storm instance on a single sol.  The csv files are named with the following convention:  SUB_dayXX_MEM_ZZZb.csv, where “SUB” is the MARCI mission subphase and XX is the sol number ranging 01–34.  The last seven characters are the member ID for the storm from MDAD v1.0, with ZZZ ranging 001–133 and "MEM" the subphase on which the member starts.  For storms that have merged, only the member ID with the smallest ZZZ is included in the file name, and the character "b" is only included in the file name for splitting storms.  Each *.csv file consists of a two column matrix.  Column 1 is east longitude, and column 2 is latitude.  Each longitude, latitude point is a pixel on the boundary of the storm instance.  The boundaries have a resolution of 1/10°, so each row of the matrix maps to a unique pixel of a MDGM.  The total set of longitude, latitude points is the outline of the dust instance, which traces the outside of the storm masks provided in the *.nc files. An additional comma separated value file with the name SUB.list provides a copy of the "timeList" array included in the *.nc files.  For each subphase of MDGMs, there is a single *.list, and each row is a single day with the following information in csv format: subphase_day, start MY, end MY, start sol-of-year (soy), end soy, mean soy, median soy, start areocentric longitude (Ls), end Ls, mean Ls, median Ls.  Additionally, a folder entitled "list" contains an additional *.list comma separated value file for each day of the subphase, where each row describes a single swath in that sol's MDGM.  It has the following format: Swath name, Earth time collected, MY, Mars month, soy, Ls, center west longitude.     </td> </tr> </tbody> </table> <div> </div>

opencc-zeroJan 2023View details →

Data from: Relating pupil diameter and blinking to cortical activity and hemodynamics across arousal states

Arousal state affects neural activity and vascular dynamics in the cortex, with sleep associated with large changes in the local field potential (LFP) and increases in cortical blood flow. We investigated the relationship between pupil diameter and blink rate with neural activity and blood volume in the somatosensory cortex in male and female unanesthetized, head-fixed mice. We monitored these variables while the mice were awake, during periods of rapid eye movement (REM), and during non-rapid eye movement (NREM) sleep. Pupil diameter was smaller during sleep than in the awake state. Changes in pupil diameter were coherent with both gamma-band power and blood volume in the somatosensory cortex, but the strength and sign of this relationship varied with arousal state. We observed a strong negative correlation between pupil diameter and both gamma-band power and blood volume during periods of awake rest and NREM sleep, though the correlations between pupil diameter and these signals became positive during periods of alertness, active whisking, and REM. Blinking was associated with increases in arousal and decreases in blood volume when the mouse was asleep. Bilateral coherence in gamma-band power and in blood volume dropped following awake blinking, indicating a 'reset' of neural and vascular activity. Using only eye metrics (pupil diameter and eye motion), we could determine the mouse's arousal state ('Awake', 'NREM', 'REM') with greater than 90% accuracy with a 5-second resolution. There is a strong relationship between pupil diameter and hemodynamics signals in mice, reflecting the pronounced effects of arousal on cerebrovascular dynamics.

Therapeutic activation of endothelial sphingosine 1-phosphate receptor-1 by chaperone-bound S1P suppresses proliferative retinal neovascularization

Sphingosine-1-phosphate (S1P), the circulating HDL-bound lipid mediator that acts via S1P receptors (S1PR), is required for normal vascular development. The role of this signaling axis in vascular retinopathies is unclear. Here we show in a mouse model of oxygen-induced retinopathy (OIR) that endothelial overexpression of S1pr1 suppresses while endothelial knockout of S1pr1 worsens neovascular tuft formation. Furthermore, neovascular tufts are increased in Apom-/- mice which lack HDL-bound S1P while they are suppressed in ApomTG mice which has more circulating HDL-S1P. These results suggest that circulating HDL-S1P activation of endothelial S1PR1 suppresses neovascular pathology in OIR. Additionally, systemic administration of ApoM-Fc-bound S1P or a small molecule Gi-biased S1PR1 agonist suppressed neovascular tuft formation. Circulating HDL-S1P activation of endothelial S1PR1 may be a key protective mechanism to guard against neovascular retinopathies that occur not only in premature infants but also in diabetes and aging.

opencc-by-4.0Oct 2022View details →

Dataset related to: Low Nephron Number Induced by Maternal Protein Restriction Is Prevented by Nicotinamide Riboside Supplementation Depending on Sirtuin 3 Activation

The files contain all the dataset included in the manuscript divided by figures. For each figure, individual tabs indicate data from different figure panels.   Abstract A reduced nephron number at birth, due to critical gestational conditions, including maternal malnutrition, is associated with the risk of developing hypertension and chronic kidney disease in adulthood. No interventions are currently available to augment nephron number. We have recently shown that sirtuin 3 (SIRT3) has an important role in dictating proper nephron endowment. The present study explored whether SIRT3 stimulation, by means of supplementation with nicotinamide riboside (NR), a precursor of the SIRT3 co-substrate nicotinamide adenine dinucleotide (NAD+), was able to improve nephron number in a murine model of a low protein (LP) diet. Our findings show that reduced nephron number in newborn mice (day 1) born to mothers fed a LP diet was associated with impaired renal SIRT3 expression, which was restored through supplementation with NR. Glomerular podocyte density, as well as the rarefaction of renal capillaries, also improved through NR administration. In mechanistic terms, the restoration of SIRT3 expression through NR was mediated by the induction of proliferator-activated receptor γ (PPARγ) coactivator-1α (PGC-1α). Moreover, NR restored SIRT3 activity, as shown by the reduction of the acetylation of optic atrophy 1 (OPA1) and superoxide dismutase 2 (SOD2), which resulted in improved mitochondrial morphology and protection against oxidative damage in mice born to mothers fed the LP diet. Our results provide evidence that it is feasible to prevent nephron mass shortage at birth through SIRT3 boosting during nephrogenesis, thus providing a therapeutic option to possibly limit the long-term sequelae of reduced nephron number in adulthood.

Projected Smoke Impacts from Increased Prescribed Fire Activity (PHIRE) Smoke Modeling Datasets

This dataset support the publication, Kramer et al., 2023, submitted to JGR: Atmospheres on 01-13-2023 This project was supported by a grant from the CAL FIRE Forest Health Research Program (Agreement #8GG19803), as part of California Climate Investments. California Climate Investments is a statewide program that puts billions of Cap-and-Trade dollars to work reducing greenhouse gas emissions, strengthening the economy, and improving public health and the environment—particularly in disadvantaged communities. This study has not been reviewed by the funding agency and may not represent their opinion and interpretation of the findings. We also would like to acknowledge all participating organizations in the PHIRE team: The California Department of Public Health- Sumi Hoshiko; The Sequoia Foundation- Jeff Sanchez; U.S. EPA- Ana G. Rappold; Michigan Technological University- Nancy French; the U.S. Forest Service- Leland Tarnay; and Sonoma Technology- Fred Lurmann, ShihMing Huang, Samantha J. Kramer, Crystal McClure, and Melissa Chaveste. Beyond the authors of this publication, we would also like to acknowledge Sonoma Technology team members Kenneth J. Craig and Anondo Mukherjee for their contributions.

opencc-zeroJan 2023View details →

Finnish cooperatives active in the forestry and real estate sector

58 cooperatives incorporated in Finland (osuuskunta / osk) active in the forestry or real estate business, with name and business ID (y-tunnus). The companies have been identified by searching all 200+ cooperatives in the agriculture or real estate field as listed on OpenCorporates and manually identifying those most likely to do business relevant for climate change and climate sink preservation (industry codes 02100, 02400, 68201, 68202, 68209 in Finland TOL 2008). Some extra notes were added manually, including an URL with more information. This is a first version of the dataset. Future versions may include more companies and more extracts from the trade register (PRH).

Supplementary materials of the active learning methodology for online engineering education

These are the supplementary materials for the active learning methodology for engineering education integrating online and mobile learning. The methodology is focused on teaching electronics, physical computing, basic robotics, and programming. The purpose of the methodology was to provide active learning, experimentation, and reflection in online classes to the students increasing their motivation and self-efficacy. The file contains the following elements: <ol> <li>Rubric employed to evaluate the student-created videos and blogs.</li> <li>The survey's questions of the different courses that employ online and mobile learning modalities.</li> <li>A set of URLs with examples of the blogs and videos constructed by the students.</li> </ol>

Data from: Non-breeding sites, loop migration and activity patterns over the annual cycle in the Lesser Grey Shrike Lanius minor from a western edge of its range

Raw data from three tracked individuals. Two were tracked with light geolocators (22UL and an incomplete track of 22UH) and one (16KN) with GDL3-PAM multi-sensor logger. All produced by Swisss Ornithological Insitute.

opencc-zeroJan 2023View details →

Data from: Beaver activity and red squirrel presence predict bird assemblages in boreal Canada

Wetlands and predation in boreal ecosystems play essential roles throughout the breeding season for bird assemblages. We found a positive association of beaver activity and a negative influence of American red squirrels (Tamiasciurus hudsonicus) on bird assemblages. We used a multispecies hierarchical model to investigate whether bird communities differ between two major wetland habitats in boreal Canada: beaver ponds and peatland ponds. In addition to including variables such as forest cover and latitude, we adopted a structural equation model approach to estimate the occupancy of American red squirrels and its potential influence on bird communities. Using automated recording stations deployed at 50 ponds, we detected 96 bird species in 2018 and 2019. Bird species were grouped into four taxonomic guilds according to their habitat successional requirements: early successional species, late successional species, generalists, and wetland species. Beaver ponds harbored higher species richness, a pattern driven primarily by early successional species. The occupancy of almost a quarter of the species was lower in the presence of red squirrels. Late successional species responded positively to the cover of forest surrounding the pond. Our results highlight the value of considering acoustic data of red squirrels to quantify habitat quality in boreal forests. We conclude that beaver activity shapes bird assemblages through modification of their habitat, and that some bird guilds are associated negatively with the presence of American red squirrels.

Towards a Diverse Next-Generation Energy Workforce: Teaching Artificial Photosynthesis and Electrochemistry in Elementary Schools through Active Learning

Artificial photosynthesis is a promising approach to generate important commodity chemicals using abundant chemical feedstocks and renewable energy sources. Despite its importance, affordable and effective hands-on classroom activities that demonstrate artificial photosynthesis and teach key concepts, especially for primary school students, is lacking. This will be a critical step in the development of the next-generation energy workforce, especially one that is diverse in race and gender. To aid in this effort, we present an artificial photosynthesis lesson plan based on active-learning techniques that uses safe and highly accessible materials (baking soda, tap water, plastic jars, Ni coil, alligator clips, and a solar cell) to perform solar-powered water splitting. The efficacy of the lesson plan in teaching basic concepts of artificial photosynthesis was evaluated with pre- and post-test data, which shows a statistically significant improvement in overall student understanding. Importantly, the data show that the lesson plan presented here is effective at narrowing the performance gap between minority students and overly represented groups. This study aids in the development and education of a demographically diverse energy workforce through an active learning-based lesson plan for primary school students.

opencc-zeroFeb 2023View details →

Predicting daily activity time through ecological niche modeling and microclimatic data

1. Climate temporality is a phenomenon that affects species' activity and distribution patterns across spatial and temporal scales. Despite the global availability of microclimatic data, their use to predict activity patterns and distributions remains scarce, particularly at fine temporal scales (e.g., < month). Predicting activity patterns based on climatic data may allow us to foresee some of the consequences of climate change, particularly for ectothermic vertebrates. 2. The Gila monster exhibits marked daily and seasonal activity patterns linked to physiology and reproduction. Here we evaluate if ecological niche models fitted using microclimate data can predict temporal activity patterns using the Gila monster (Heloderma suspectum) as a study system. Further, we identified if the activity patterns are related to physiological constraints. 3. We used dated occurrences from museum specimens and human observations to generate and test ecological niche models using minimum-volume ellipsoids. We generated hourly microclimatic data for each occurrence site for ten years using the NicheMapR package. For ecological niche modeling, we compared the traditional seasonal approach versus a daily activity pattern strategy for model construction. We tested both using the omission rate of independent observations (citizen science data). Finally, we tested if unimodal and bimodal activity patterns for each season could be recreated through ecological niche modeling and if these patterns followed known physiological constraints. 4. The unimodal and bimodal activity patterns previously reported directly from tracking individuals across the year were recovered by using niche modeling and microclimate across the species' geographical range. We found that upper thermal tolerances can explain the daily activity patterns of this species. 5. We conclude that ecological niche models trained with microclimatic data can be used to predict activity patterns at fine temporal scales, particularly on ectotherm species of arid zones coping with rapid climate modifications. Further, the use of fine temporal scale variables can lead to a better niche delimitation, enhancing the results of any research objective that uses correlative models.

Figure 1 in Influence of environmental factors on surface activity of Paruroctonus marksi (Scorpiones: Vaejovidae) in the Mojave Desert

Figure 1. The mean abundance of scorpions (solid line) and water vapor pressure (dashed line) from August 2017 to September 2018.

Figure 2 in Influence of environmental factors on surface activity of Paruroctonus marksi (Scorpiones: Vaejovidae) in the Mojave Desert

Figure 2. Distance of adult scorpions from cover in relationship to water vapor pressure (grey squares) and moon illumination (dark triangles). The solid and dashed lines represent the trend line for water vapor pressure and moon illumination respectively.

opencc-by-4.0Feb 2023View details →

Simulation data for: "Unique Amphipathic a-helix Drives Membrane Insertion and Enzymatic Activity of ATG3"

Simulation data from Nishimura et al. (2023), "Unique Amphipathic a-helix Drives Membrane Insertion and Enzymatic Activity of ATG3". The dataset contains the MD simulations executed for the Atg3/LC3/lipid membrane system, both in the WT and 5W-mutated variants. More information can be found in the README file and in Table 1 of the cited paper.

opencc-zeroFeb 2023View details →

Data for: Large-scale long-term passive-acoustic monitoring reveals spatiotemporal activity patterns of boreal bats

The distribution ranges and spatio-temporal patterns in the occurrence and activity of boreal bats are yet largely unknown due to their cryptic lifestyle and lack of suitable and efficient study methods. We approached the issue by establishing a permanent passive-acoustic sampling setup spanning the area of Finland to gain an understanding on how latitude affects bat species composition and activity patterns in northern Europe. The recorded bat calls were semi-automatically identified for three target taxa; Myotis spp., Eptesicus nilssonii or Pipistrellus nathusii and the seasonal activity patterns were modeled for each taxa across the seven sampling years (2015–2021). We found an increase in activity since 2015 for E. nilssonii and Myotis spp. For E. nilssonii and Myotis spp. we found significant latitude -dependent seasonal activity patterns, where seasonal variation in patterns appeared stronger in the north. Over the years, activity of P. nathusii increased during activity peak in June and late season but decreased in mid season. We found the passive-acoustic monitoring network to be an effective and cost-efficient method for gathering bat activity data to analyze spatio-temporal patterns. Long-term data on the composition and dynamics of bat communities facilitates better estimates of abundances and population trend directions for conservation purposes and predicting the effects of climate change.