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Data for article Pesticide seed dressings can affect the activity of various soil organisms and reduce decomposition rate of plant material, BMC Ecology
<p>Raw data for article "Pesticide seed dressings can affect the activity of various soil organisms and reduce decomposition rate of plant material" published in BMC Ecology</p>
Physical Activity is Associated with Reduced Implicit Learning but Enhanced Relational Memory and Executive Functioning in Young Adults
<p>This file contains all data reported in the main analyses of our paper, including age, gender, BMI, Stroop effect, implicit learning sessions 1 and 2, relational memory, and all physical activity variables</p>
Semi-Supervised Active Learning for Sound Classification in Hybrid Learning Environments
<p>There are 16,930 sound instances in our database with durations ranging 242 from 1 to 10 seconds, which correspond to (approximately) 15 hours of environmental 243 sounds. All sound files were converted into raw 16 bit encoding, mono-channel, and 16 244 kHz sampling rate, as various formats and rates were used in the original versions 245 retrieved from the web.</p>
Semi-Supervised Active Learning for Sound Classification in Hybrid Learning Environments
<p>There are 16,930 sound instances in our database with durations ranging 242 from 1 to 10 seconds, which correspond to (approximately) 15 hours of environmental 243 sounds. All sound files were converted into raw 16 bit encoding, mono-channel, and 16 244 kHz sampling rate, as various formats and rates were used in the original versions 245 retrieved from the web.</p>
East-African Social Sciences and Humanities Journals active in 2008-2009
<p>Research Data of „East-African Social Sciences and Humanities Publishing: A Handmade Bibliometrics Approach“, Proceedings of the 21st International Conference on Science and Technology Indicators, València (Spain), September 14-16, 2016.</p> <p>Corrected second version: due to an error, the journal “Chemchemi” was not included in “1 final list merged” and “7 ceased-established”. However, this does not change the conclusions drawn in the paper.</p> <p>Abstract of the paper: For Eastern Africa, very little information about the SSH knowledge production can be found from a European perspective. Adequate indicators like information-rich bibliographic databases that cover East-Africa-based journals and book publishers are lacking. This research in progress explores their indexing situation in detail, their development, which is closely connected to political history, their (non-)usage, and affiliations as well as career-stages of their authors. Furthermore, it also pays attention to East-Africa-based SSH researchers who use other publication venues. Any bibliometric analysis in this field needs to rely on manual data collection, otherwise it would be heavily biased. This study lays out the foundation for citation analyses, qualitative research on the publications' content and the self-description of East-African scholars against the background of an academic environment that is often described as “international”.</p>
Spatial variation and inconsistency between estimates of onset of muscle activation from EMG and ultrasound
<p>Study abstract: Delayed onset of muscle activation is a descriptor of impaired motor control. Activation<br> onset can be estimated from electromyography (EMG)-registered muscle excitation and<br> from ultrasound-registered muscle motion, which enables non-invasive measurements in<br> deep muscles. However, in voluntary activation, EMG- and ultrasound-detected activation<br> onsets may not correspond. To evaluate this, ten healthy men performed isometric elbow<br> flexion at 20% to 70% of their maximal force. Utilising a multi-channel electrode<br> transparent to ultrasound, EMG and M(otion)-mode ultrasound were recorded<br> simultaneously over the biceps brachii muscle. The time intervals between automated and<br> visually estimated activation onsets were correlated with the regional variation of EMG<br> and muscle motion onset, contraction level and speed. Automated and visual onsets<br> indicated variable time intervals between EMG- and motion onset, median (interquartile<br> range) 96 (121) ms and 48 (72) ms, respectively. In 17% of trials (computed analysis) or<br> 23% (visual analysis), motion onset was detected before local EMG onset. Multi-channel<br> EMG and M-mode ultrasound revealed regional differences in activation onset, which<br> decreased with higher contraction speed (Spearman ρ≥0.45, P<0.001). In voluntary<br> activation the heterogeneous motor unit recruitment together with immediate motion<br> transmission may explain the high variation of the time intervals between local EMG- and<br> ultrasound-detected activation onset.</p> <p>Data description:</p> <p><strong>EMG data:</strong> folder includes the EMG, torque and synchronization signal data as .otb files. The respective program can be downloaded without costs from http://www.otbioelettronica.it/index.php?lang=en. Data consist of two series (Misome2 and Misome3) of isometric trials at different force levels. The first three digits refer to the subject number.</p> <p><strong>M-mode ultrasound data</strong>: folder includes the M-mode clips of all recorded trials in .tvd format. The respective program can be downloaded for free at http://www.telemedultrasound.com/download/software-downloads/?lang=en. In addition, images of activation onset in DICOM format are provided. The data are sorted for subjects and series (Misome2 and Misome3). The following explanation refers to the filenames of the DICOM images. Usually, the M-mode trace started at the left side synchronously with the synch signal. In this case the rightmost frame of the trace is missing to indicate that the left edge represents the start of the trace. If the file name includes “ons50”, the frame includes the 50. frame = the rightmost frame, still starting with the synch signal. If the filename includes on100, the rightmost frame is the 100. frame and the duration of 50 frames must be added to the visible onset time. Filenames that include “basel” refer to frames that represent a proper delineation of the baseline.</p> <p><strong>Excel data sheet</strong>: Data sheet that includes the computed and visual EMG, M-mode ultrasound and torque onsets, the rate of torque development and the differences between the different types of onsets. The column headers explain the data type, most comprehensively in the first computed data sheet. The colors facilitate the orientation with blue columns referring to torque onsets and green columns referring to ultrasound onsets. The violet EMG channels are those in vicinity to the ultrasound beam. In the second version of each sheet the 5% slowest trials are separated.</p>
Figure 8. - Pollination and oviposition behavior of the Japanese Epicephala species. A Epicephalaanthophilia female actively depositing pollen on Glochidionacuminatum female flower B Epicephalaanthophilia ovipositing through stylar pit of Glochidionacuminatum flower C Epicephalabipollenella ovipositing through stylar pit of Glochidionzeylanicum flower D Epicephalalanceolatella ovipositing through stylar pit of Glochidionlanceolatum flower E Epicephalaperplexa ovipositing through lateral ovary wall of Glochidionlanceolatum flower F Epicephalaobovatella ovipositing through lateral ovary wall of Glochidionobovatum flower G Epicephalacorruptrix ovipositing through ovary wall of Glochidionrubrum flower H Epicephalavitisidaea ovipositing in the interspace between ovary and tepal I Epicephalaparasitica ovipositing in young fruit of Phyllanthuslepidocarpus.
Figure 8. - Pollination and oviposition behavior of the Japanese Epicephala species. A Epicephalaanthophilia female actively depositing pollen on Glochidionacuminatum female flower B Epicephalaanthophilia ovipositing through stylar pit of Glochidionacuminatum flower C Epicephalabipollenella ovipositing through stylar pit of Glochidionzeylanicum flower D Epicephalalanceolatella ovipositing through stylar pit of Glochidionlanceolatum flower E Epicephalaperplexa ovipositing through lateral ovary wall of Glochidionlanceolatum flower F Epicephalaobovatella ovipositing through lateral ovary wall of Glochidionobovatum flower G Epicephalacorruptrix ovipositing through ovary wall of Glochidionrubrum flower H Epicephalavitisidaea ovipositing in the interspace between ovary and tepal I Epicephalaparasitica ovipositing in young fruit of Phyllanthuslepidocarpus.
A dataset for high-level activity recognition based on low level audio events
<p>The high level activities are:<br> - kitchencleanup<br> - music<br> - no activity<br> - other activity<br> - talk<br> - tv</p> <p>Each recording of low-level audio events is stored in a separate file.</p> <p>Files are organized in 6 folders, each folder corresponding to a separate file.</p> <p>The format of is file is json-like. In particular, each row has the following format:</p> <p>{"prob": 0.88557562121157585, "energy": 0.024511212402412885, "t": 1485110417, "event": "speech"}</p> <p>This dataset can be evaluated with the python code metaClassifier/evaluate.py of the AUOR repository:<br> https://github.com/tyiannak/AUROS</p>
Transcriptional decomposition reveals active chromatin architectures and cell specific regulatory interactions
<p><strong>Summary</strong></p> <p>Resource data across the 76 cell types from FANTOM5 analysed in our paper titled "Transcriptional decomposition reveals active chromatin architectures and cell specific regulatory interactions".</p> <p><strong>Project abstract</strong></p> <p>Gene transcription is influenced by favourable chromosome positioning and chromatin architectures bringing regulatory elements in close proximity. However, it is unclear to what extent transcription is attributable to topological organisation or to gene-specific regulatory programs. Here, we develop a strategy to transcriptionally decompose expression data into two main components reflecting the positional relationship of neighbouring transcriptional units and effects independent from their positioning. </p> <p>We demonstrate that the positionally dependent component is highly informative of topological domain activity and organisation, revealing boundaries and chromatin compartments. Furthermore, features derived from transcriptional components can accurately predict individual chromatin interactions. We systematically investigate regulatory interactions and observe different transcriptional attributes governing long- and short-range interactions. Finally, we assess differences in regulatory organisations across 76 human cell types. In all, we demonstrate a close relationship between transcription and topological chromatin architecture and provide an unprecedented resource for investigations of regulatory organisations across cell types.</p> <p><strong>Included files</strong></p> <p>PD_component_76_cell_types.tar.gz - Contains the positionally dependent (PD) components for 76 human cell types.</p> <p>PD_sd_component_76_cell_types.tar.gz - Contains the standard deviations of the positionally dependent (PD_sd) components for 76 human cell types.</p> <p>PI_component_76_cell_types.tar.gz - Contains the positionally independent (PI) components for 76 human cell types.</p> <p>PI_sd_component_76_cell_types.tar.gz - Contains the standard deviations of the positionally independent (PI_sd) components for 76 human cell types.</p> <p>predicted_EP_interactions_76_cell_types.tar.gz - Contains predicted enhancer-promoter interactions for 76 human cell types.</p> <p>predicted_boundaries_76CT.txt - Matrix with 76 columns representing human cell types and 10kb genome-wide bins as rows, coded as 0 or 1 according to whether a XAD boundary was predicted in the bin for a given cell type.</p>
Effect of temperature on extracellular enzymatic activities in the global ocean
<p>Supplementary data for:</p> <p>Ayo B, Abad N, Artolozaga I, Azua I, Baña Z, Unanue M, Gasol JM, Duarte CM & Iriberri J.</p> <p>Imbalanced nutrient recycling in a warmer ocean driven by differential response of extracellular enzymatic activities.</p> <p>Accepted for publication in Global Change Biology.</p>
Gathered datasets of cardiorespiratory activity by using the inductive coupling with single coil together with reference waveforms of ECG and spirometer
<p>Hereby the datasets, that were gathered during the experiments of monitoring the cardiorespiratory activity by using the inductive coupling together with the reference waveforms of ECG and spirometer, are published.:<br> Waveforms of inductive monitoring.zip<br> Reference waveforms of ECG and spirometer.zip</p> <p>A single volunteer participated in the experiments: healthy male, 33 years old, height of 183 cm and weight of 70 kg.</p> <p>The results are gathered from 12 positions lying around the thorax in imaginary horizontal level, approximately 10 mm below xiphisternal joint. The central position on front side of thorax is designated according to xiphisternum. The central position on front side of thorax is designated according to backbone.</p> <p>The datasets are available in .txt format, and are in separate .zip packages for inductive monitoring and reference waveforms. The correcponding dataset for every position can de identified by position number in both datasets. The signals are raw signals, not processed in any way.</p> <p>In the case of inductive monitoring the change variation of equivalent parallel resonance impedance (Rp) is shown. Concerning the reference waveforms, in the case of ECG, the result is shown in voltages (V). The reference data of respiration (gathered by using spirometer) is available in the form of two sets of digital pulses (0-s and 1-s). These pulses are representing the inhalation and exhalation i.e. either the rotor of the spirometer turns in one way or another. According to the frequency of the pulses, depending on the air flowing speed, the respiratory waveform can be constructed.</p>
Database specific for the pesticide active substance and their metabolites, comprising the main genotoxicity endpoints
<p>In 2014, EFSA has commissioned the compilation of a database specific for the pesticide residues including active substances and their metabolites, which comprises different genotoxicity endpoints, i.e. point mutations, structural and numerical chromosome aberrations, and DNA damage.</p> <p>Data collection on individual genotoxicity studies has been retrieved from regulatory toxicological reports (Draft or Renewal Assessment Reports, i.e. DARs or RARs, respectively) as provided by the Rapporteur Member State (RMS) during the pesticide peer review process at European Level. The final EFSA conclusion on the overall genotoxic potential of active substance or metabolites taking into account all available information is not included in the database. </p> <p>The database contains identity and genotoxicity information on more than 290 active substances and some of their metabolites.</p> <p>The database represents a practical tool to complement in-silico tools i.e. QSAR (Quantitative structure–activity relationship models), grouping and read across for prediction of the genotoxicity hazard of the pesticides residues, and it supposes to enlarge the chemical domains for their application.</p> <p><strong>Format: xls; contact: data.collection@efsa.europa.eu, pesticides.ppr@efsa.europa.eu </strong></p> <p><br> <strong>DISCLAIMER</strong><br> Without prejudice to the legal notice applicable to EFSA's website available here, the following legal notice applies to the Pesticide genotoxicity database and any documents, data or information contained therein. Users are advised to read this legal notice carefully before accessing, using or reading any document, data or information made available in this context, or making any other use of the Database.<br> The Pesticide genotoxicity database is a compilation of chemical and genotoxicity information on active substances and some of their metabolites. The database contains the results of individual studies as initially assessed by the Rapporteur member state (RMS) and reported in the respective Draft assessment reports (DARs) or Renewal Assessment Reports (RARs). The final EFSA Conclusions on the respective active substances are available to the public on the EFSA Journal. The database includes the data that was available at the moment of compilation of the database (December 2016) and will be updated on a regular basis by including or deleting of information as a result of renewal procedure of active substances (Regulation (EU) No 1107/2009). <br> EFSA makes no representations or warranties about the accuracy or suitability of any document, information, data provided in the Database. In case of discrepancy between the data provided in the original scientific output (DARs/RARs) and that in this database, preference shall be given to the former.<br> This database does not disclose any commercially sensitive or otherwise confidential information. Unless otherwise stated, the owners of the data compiled in this database are the applicants under Regulation (EU) No 1107/2009, and by acceiding the Database you acknowledge that agreement for reuse of these data should be sought from them.<br> The information provided in the Database and related materials are not intended to constitute advice of any kind or the rendering of consulting, or other professional services of any kind. Acceding the Database does not establish any contractual relationship with EFSA. Users are advised to consult with an attorney, food consultant or other professional to determine what may be best for your individual needs.<br> By acceding the Database, you also acknowledge that the documents, data or information made available by EFSA may contain inaccuracies or errors. The content of the information provided is for your information and use only. It may be subject to change at any time and without prior notice by EFSA.</p>
Hemispheric diferences in the processing of visual consequences of active vs. passive movements: a transcranial direct current stimulation study
<p>Dataset related to the following publication:</p> <p>Straube, B., Schülke, R., Drewing, K., Kircher, T., van Kemenade, B.M. (2017). Hemispheric differences in the processing of visual consequences of active vs. passive movements: a transcranial direct current stimulation study. Exp. Brain Res. DOI: 10.1007/s00221-017-5053-x</p>
The FORTH-TRACE dataset for human activity recognition of simple activities and postural transitions using a Body Area Network
<p>The dataset is collected from 15 participants wearing 5 Shimmer wearable sensor nodes on the locations listed in Table 1. The participants performed a series of 16 activities (7 basic and 9 postural transitions), listed in Table 2.</p> <p>The captured signals are the following:</p> <ul> <li>3-axis accelerometer</li> <li>3-axis gyroscope</li> <li>3-axis magnetometer</li> </ul> <p>The sampling rate of the devices is set to 51.2 Hz.</p> <p>DATASET FILES</p> <p>The dataset contains the following files:</p> <ul> <li>partX/partXdev1.csv</li> <li>partX/partXdev2.csv</li> <li>partX/partXdev3.csv</li> <li>partX/partXdev4.csv</li> <li>partX/partXdev5.csv</li> </ul> <p>Where X corresponds to the participant ID, and numbers 1-5 to the device IDs indicated in Table 1.</p> <p>Each .csv file has the following format:</p> <ul> <li>Column1: Device ID</li> <li>Column2: accelerometer x</li> <li>Column3: accelerometer y</li> <li>Column4: accelerometer z</li> <li>Column5: gyroscope x</li> <li>Column6: gyroscope y</li> <li>Column7: gyroscope z</li> <li>Column8: magnetometer x</li> <li>Column9: magnetometer y</li> <li>Column10: magnetometer z</li> <li>Column11: Timestamp</li> <li>Column12: Activity Label</li> </ul> <p>Table 1: LOCATIONS</p> <ol> <li>Left Wrist</li> <li>Right Wrist</li> <li>Torso</li> <li>Right Thigh</li> <li>Left Ankle</li> </ol> <p>Table 2: ACTIVITY LABELS</p> <p>(Arrows (->) indicate transitions between activities)</p> <ol> <li>stand</li> <li>sit</li> <li>sit and talk</li> <li>walk</li> <li>walk and talk</li> <li>climb stairs (up/down)</li> <li>climb stairs (up/down) and talk</li> <li>stand -> sit</li> <li>sit -> stand</li> <li>stand -> sit and talk</li> <li>sit and talk -> stand</li> <li>stand -> walk</li> <li>walk -> stand</li> <li>stand -> climb stairs (up/down), stand -> climb stairs (up/down) and talk</li> <li>climb stairs (up/down) -> walk</li> <li>climb stairs (up/down) and talk -> walk and talk</li> </ol>
Low-frequency Cortical Activity Reflects Context-dependent Parsing of Word Sequences
<p>The dataset and code used for the publication of "<a href="https://www.biorxiv.org/content/10.1101/2024.11.12.623335v1" target="_blank" rel="noopener"><strong>Low-frequency Cortical Activity Reflects Context-dependent Parsing of Word Sequences</strong></a>".</p> <div> <div><strong>Data path</strong></div> <div> <ol> <li>derivatives (./data/derivatives/): preprocessed data. <ul> <li>meg_quat-tsss-withEOG_100hz_0d3-40: meg data preprocessed at 100 Hz filtered between 0.3 and 40 Hz.</li> <li>FreeSurfer: anatomy data preprocessed</li> </ul> </li> <li>behavior_data (./behavior_data/)</li> <li>stimuli (./exp_procedure/material/): exp stimuli and procedure</li> <li>features (./data/features/): calculated phonological and linguistic features.</li> </ol> </div> <strong>Code path</strong></div> <div><br> <div>Preprocessing<strong>:</strong></div> <div> <ol> <li>[preprocessing.py]: preprocessing of behavior and MEG data.</li> <li>[recon.py]: reconstruction of T1 .niift data into surface data in FreeSurfer.</li> <li>[analysis_stimuli.ipynb]: preprocessing and feature extraction of stimuli.</li> </ol> </div> Analysis</div> <div> <ul> <li>[analysis_meg.ipynb]: spectral, time course, and RSA analysis.</li> </ul> </div>
Photometric Activity Cycles in fast-rotating stars: Revisiting the reality of stellar activity cycle branches
<p>The provided files comprise the tables and Activity cycle fits presented in our manuscript titled "Photometric Activity Cycles in fast-rotating Stars". The files are denoted as Table 1 (main-sequence stars), Table 2 (RS CVn candidates) and a folder containing activity cycle fits for all main-sequence and RSCVn candidates listed in the aforementioned tables. DOI: <a href="https://doi.org/10.1093/mnras/staf754" target="_blank" rel="noopener">10.1093/mnras/staf754</a> </p>
Fluvial Response to Differential Activity of the Litang Fault System: Implications for Fault Kinematics and Geodynamics in the Southeastern Tibetan Plateau
<p>Supporting information accompanies the publication "Fluvial Response to Differential Activity of the Litang Fault System: Implications for Fault Kinematics and Geodynamics in Southeastern Tibetan Plateau ". </p> <p>Table S1 presents information related to all the extracted river channels including the drainage area and outlet elevation. The elevation, horizontal and vertical migration distances of knickpoints, as well as<em> ksn</em> values above and below the knickpoints have also been included.</p> <p>All the river longitudinal profiles extracted in this study, including the knickpoint position on the longitudinal profiles and the high-precision DEM data presented in Figures 9a and 10a, are provided .</p>
Structures of FDA-approved drugs and their active metabolites and data sets of experimental PD and PK properties
<p>Data sets are extracted from the 2024 release of the e-Drug3D Database (2118 FDA-approved drug structures)</p> <ol> <li><strong>e-Drug3D_2118.zip </strong>(contains e-Drug3D_2118.sdf)<strong> -</strong> <strong>Chemical Structures</strong> - The e-Drug3D collection in SDF format file - one 3D conformer; ionization of carboxylic acid, phosphate, phosphonate, phosphonoamide, amidinium and guanidinium groups. The datablock contains the ID, name (INN), CAS number and Status.</li> <li><strong>e-Drug3D_2118_PK.csv - </strong><strong>Pharmacokinetics</strong> - Column/field value is separated by a semicolon. It contains the e-Drug3D ID, INN (drug name), CAS number, year of approval, Status, is_or_has a metabolite, routes of administration, Volume of distribution (VD), Clearance (Cl), Plasma Protein Binding (PPB), Half-life (t1/2), Bioavailability (F), Cmax/Tmax, comment on solubility.</li> <li><strong>e-Drug3D_2118_PD.csv -</strong> <strong>Pharmacodynamics</strong> - Column/field value is separated by a semicolon. It contains the e-Drug3D ID, INN (drug name), CAS number, year of approval, Status, Primary target, ATC code(s), PDB codes and main list of drug targets.</li> <li><strong>e-Drug3D_2118_RD.csv -</strong> <strong>FDA Registration Data</strong> - Column/field value is separated by a semicolon. It contains the ID, name (INN), CAS number, First year of approval, Status, <a href="http://www.knapsackfamily.com/knapsack_core/top.php">KNApSAcK</a> or <a href="https://www.npatlas.org">NPAtlas</a> Id if natural product, all associated NDA numbers [FDA approval number, name of the label file in PDF format, company name, year of approval and commercial name of the drug] and the Indication/Therapeutic class information.</li> <li><strong>labels.tar.gz</strong> - The drug label files in PDF format (compressed directory). A label file is named with the NDA number. The NDA number is the approval number assigned by the FDA. A drug may possess several NDA numbers (see the above e-Drug3D-RD data set).</li> </ol>
Data from: Plant biodiversity responds more strongly to climate warming and anthropogenic activities than microbial biodiversity in the Qinghai-Tibetan alpine grasslands
<p>Biodiversity serves as the fundamental underpinning for ecosystem functions and services. As a result of human-induced global change, there is a growing awareness of the substantial alterations in terrestrial aboveground biodiversity, particularly within alpine regions. However, it remains uncertain whether belowground biodiversity will exhibit similar responses, both in terms of magnitude and manner, to anthropogenic global changes as aboveground biodiversity.</p> <p>Here, we conducted a meta-analysis to assess the impacts of warming, nutrient addition, and grazing on plant and soil microbial biodiversity in alpine grasslands on the Qinghai-Tibetan Plateau, which are known to be climate-sensitive and vulnerable. The analysis included 819 experimental observations from 152 studies, focusing on species richness, Shannon diversity, and Pielou's evenness.</p> <p>We found that plant biodiversity exhibited greater sensitivity to climate warming and anthropogenic activities compared to soil microbial biodiversity. Specifically, plant richness and Shannon diversity were reduced by warming and nutrient addition, while plant evenness was increased by grazing. However, only microbial richness was increased by grazing and microbial evenness was increased by warming slightly.</p> <p>The responses of biodiversity to climate warming and anthropogenic activities were modulated by multiple factors. Specifically, the negative effects of warming on plant biodiversity were more pronounced in long-term experiments under warmer or drier environmental conditions. The negative effects of nitrogen addition on biodiversity were enhanced by the intensity and duration of nitrogen treatment. Appropriate intensity and frequency of grazing were beneficial to sustaining plant biodiversity. Soil microbial biodiversity was weakly regulated, where bacterial Shannon diversity was more sensitive to nutrient addition, while fungal species richness was sensitive to grazing.</p> <p><strong>Synthesis: </strong>Our findings reveal a mismatch between aboveground plant and belowground microbial biodiversity in response to climate warming and anthropogenic activities in alpine grasslands, with plant biodiversity being more sensitive. In the context of future global change, plant biodiversity may be at greater risk than soil microbial biodiversity. In addition, biodiversity responses of different experimental and environmental conditions should be distinguished, and more attention is needed on biodiversity conservation in alpine steppe, or areas with warmer and drier environmental conditions, high-intensity fertilization or heavy grazing. </p>
Data from: Limiting burrowing activity and overland dispersal of the invasive alien red swamp crayfish Procambarus clarkii by sophisticated design of watercourses
<p>Two datasets belonging to the paper "Limiting burrowing activity and overland dispersal of the invasive alien red swamp crayfish <i>Procambarus clarkii</i> by sophisticated design of watercourses" published in Ecological Engineering (https://doi.org/10.1016/j.ecoleng.2022.106787), are provided here. </p><p> </p><p>The first dataset "Burrow data from Limiting burrowing activity and overland dispersal P. clarkii.csv" contains data from an inventory of crayfish burrows in three watercourses in the municipality of Horssen (Province of Gelderland), the Netherlands. These data were collected during a lowering of the water level in these watercourses, which takes place annually in the winter period to prevent nuisance from excessively high phreatic groundwater in agricultural areas. The sites were located up to 5 km apart. On each bank, red swamp crayfish burrows with tunnel openings in banks below the shoreline were counted from the opposite bank of the watercourse using binoculars. This field survey was performed in March 2019 when the water level was lowered for the maintenance of the watercourses. The chance of overlooking burrows was very low as the vegetation cover was low in this period. Three sites with 'natural-like' banks (banks rehabilitated to a natural profile during rehabilitation projects, in the dataset referred to as 'natural' banks) were chosen in the area with a lowered water level and presence of red swamp crayfish. At site 1, 2 and 3, a total of 125, 46 and 18 bank transects respectively, each one 10 metres long, were surveyed. Banks were categorized as follows: (a) non-natural (steep, <i>viz</i>. > 40°, and barely vegetated; n = 77), (b) semi-natural (steep with some vegetation; n = 50), and (c) natural (gentle sloping, <i>viz</i>. < 25°, with a diverse, well-developed submerged and emergent vegetation; n = 62). See the paper for schematic cross-sections of three bank types.</p><p>The second dataset "Inclination experiment data from Limiting burrowing activity and overland dispersal P. clarkii.csv" contains data of an inclination experiment to relate frequencies of overland movement of the red swamp crayfish to several inclinations and substrate types. For this purpose, a wooden plate of 120 x 180 cm with a 10 cm thick layer of soil was used as a base on which three lanes of 40 cm wide and 180 cm long were constructed with one substrate type each: a) bare sandy soil, b), species-poor grassland with low (2-5 cm) vegetation and c) tall (40-50 cm) herbaceous-rich grassland. Inclinations applied for this experiment were 0°, 10°, 20° and 30°. Individuals were randomly selected for each treatment and placed in the middle of a lane and oriented perpendicular to the lane. After each trial, the crayfish was placed back in the water container and replaced by another crayfish. There was a minimum period of at least one hour between each trial for each crayfish. Each crayfish was used once for each substrate type and inclination test, and the treatment order was randomised for each animal. A crayfish was placed in the middle of the lane and could freely move around for a period of three minutes. Hereafter, by the change of its position on the lane after 3 minutes it was recorded whether an individual moved up (or left in case of 0°), down (or right in case of 0°), or did not move. In total, 273 trials were conducted. Trial numbers differ between treatments due to mortality of three animals during storage.</p><p> </p><p>Abstract</p><p> </p><p>Invasive alien crayfish species pose major ecological and hydrological risks globally. The red swamp crayfish (<i>Procambarus clarkii</i>) is one of the most widespread crayfish species worldwide. Its impacts arise from burrowing activities and lead to mobilization of soil nutrients, water safety risks by instability of dikes and erosion of banks. Increased sediment load demands additional dredging of drainage ditches and canals to ensure their water discharge capacity. Sustainable methods for limiting burrowing in banks and dispersal behaviour of crayfish were not yet available. Therefore, a field study was performed to determine whether the number of burrows and overland movement of crayfish were related to a particular bank type. Burrows were counted in three watercourses during a water-level decline. The number of burrows was significantly lower in natural banks than in non-natural and semi-natural banks. The construction of natural-like banks along watercourses may significantly reduce sediment load, erosion and the collapse of banks by burrowing activities of crayfish. An inclination experiment mimicking various types of terrestrial dispersal barriers elucidated that steepness, soil type and vegetation structure of small embankments near watercourses were significant factors for manipulating overland movement of crayfish. Crayfish were taken out of the water for this purpose and placed on small experimental embankments varying in slope and types of vegetation. The lowest frequencies of upward movement were recorded at inclinations of 20° and 30° on bare sandy soil and short and species-poor grassland substrates. This implies that crayfish crawling out of the water will return to the watercourse when encountering such a dispersal barrier. Therefore, a sophisticated design of embankments along watercourses can be a tool to reduce colonization risk of nearby located, hydrologically isolated water bodies with high nature values. </p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.