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Long-term monitoring of ground-dwelling arthropods in the greater Phoenix metropolitan area of central Arizona, USA (1998-2025)
The Central Arizona–Phoenix Long-Term Ecological Research (CAP LTER) program has been monitoring ground-dwelling arthropods (e.g., insects, ararchnids) at locations throughout the greater Phoenix metropolitan area (GPMA) and surrounding Sonoran desert region since 1998. Monitoring locations span a diversity of habitat types, including mesic and xeric residential yards, commercial areas, agricultural fields, desert locations within the GPMA (desert remnant), and undisturbed desert locations. Organisms are collected quarterly using unbaited pitfall traps, typically ten per location but with some variation, exposed for approximately seventy-two hours. Organisms are identified to the lowest practical taxonomic level and enumerated. Many of the sampling locations established at the beginning of the monitoring project were relocated in 2001-2002 to overlap with the CAP LTER's Ecological Survey of Central Arizona (ESCA; formerly named Survey200) long-term monitoring sites, although within the same general landscape categories.
Long-term monitoring of ground-dwelling arthropods in the McDowell Sonoran Preserve, Scottsdale, Arizona (2012-2025)
*Project overview* Protected lands, such as the McDowell Sonoran Preserve (hereafter referred to as the Preserve) in Scottsdale, Arizona, provide critical refuge for native biota and natural, ecological processes within and near urban environments. At the same time, a key feature that makes urban, open-space preserves so valuable − their proximity to urban areas − places strain on the ecological integrity of these systems through visitation, habitat fragmentation, and the introduction of exotic species among others. Effective management of these systems requires detailed knowledge of the biota within the protected area, and monitoring of ecological indicators through time. Arthropods are well suited to monitoring ecological health. This diverse group of organisms typically reflects overall biological diversity of a system, and includes several trophic levels; their short generation times mean they will likely respond quickly to change; and they are relatively easy to sample. As part of a broad effort by the McDowell Sonoran Conservance Field Institute, an organization that oversees science and research in Preserve, to establish a baseline inventory of biota in the Preserve, investigators with the Central Arizona−Phoenix Long-Term Ecological Research (CAP LTER) program at Arizona State University (ASU) in collaboration with Field Institute Citizen Scientists are monitoring ground-dwelling arthropods at select locations that reflect a diversity of habitat within the Preserve. Investigators employ a sampling design that is intended to provide insight regarding influence of the urban-wildland interface on the arthropod community within the protected area. The simple but effective technique of pitfall trapping is used to sample ground-dwelling arthropods at select locations spanning a wide range of habitat with the Preserve. Additional collections of vegetation-dwelling arthropods have been conducted at the sampling locations at periodic intervals. *Project design and sa
Long-term monitoring of ground-dwelling arthropods in the McDowell Sonoran Preserve, Scottsdale, Arizona, ongoing since 2012 (Reformatted to the ecocomDP Design Pattern)
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-cap/643/3. The abstract below was extracted from the Level 0 data package and is included for context:
Long-term monitoring of ground-dwelling arthropods in central Arizona-Phoenix, ongoing since 1998 (Reformatted to the ecocomDP Design Pattern)
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-cap/41/16. The abstract below was extracted from the Level 0 data package and is included for context: The Central Arizona–Phoenix Long-Term Ecological Research (CAP LTER) program has been monitoring ground-dwelling arthropods (e.g., insects, ararchnids) at locations throughout the greater Phoenix metropolitan area (GPMA) and surrounding Sonoran desert region since 1998. Monitoring locations span a diversity of habitat types, including mesic and xeric residential yards, commercial areas, agricultural fields, desert locations within the GPMA (desert remnant), and undisturbed desert locations. Organisms are collected quarterly using unbaited pitfall traps, typically ten per location but with some variation, exposed for approximately seventy-two hours. Organisms are identified to the lowest practical taxonomic level and enumerated. Many of the sampling locations established at the beginning of the monitoring project were relocated in 2001-2002 to overlap with the CAP LTER’s Ecological Survey of Central Arizona (ESCA; formerly named Survey200) long-term monitoring sites, although within the same general landscape categories.
Long-term monitoring of ground-dwelling arthropods in the McDowell Sonoran Preserve, Scottsdale, Arizona, ongoing since 2012 (Reformatted to a Darwin Core Archive)
This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/248/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-cap/643/3. The abstract below was extracted from the Level 0 data package and is included for context:
Long-term monitoring of ground-dwelling arthropods in central Arizona-Phoenix, ongoing since 1998 (Reformatted to a Darwin Core Archive)
This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/254/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-cap/41/16. The abstract below was extracted from the Level 0 data package and is included for context: The Central Arizona–Phoenix Long-Term Ecological Research (CAP LTER) program has been monitoring ground-dwelling arthropods (e.g., insects, ararchnids) at locations throughout the greater Phoenix metropolitan area (GPMA) and surrounding Sonoran desert region since 1998. Monitoring locations span a diversity of habitat types, including mesic and xeric residential yards, commercial areas, agricultural fields, desert locations within the GPMA (desert remnant), and undisturbed desert locations. Organisms are collected quarterly using unbaited pitfall traps, typically ten per location but with some variation, exposed for approximately seventy-two hours. Organisms are identified to the lowest practical taxonomic level and enumerated. Many of the sampling locations established at the beginning of the monitoring project were relocated in 2001-2002 to overlap with the CAP LTER’s Ecological Survey of Central Arizona (ESCA; formerly named Survey200) long-term monitoring sites, although within the same general landscape categories.
Data and materials for Wallace et al (2018) Self-report versus electronic medical record recorded healthcare utilisation in older community-dwelling adults: comparison of two prospective cohort studies v1.2
<p>This comprises the data and materials for the study: Wallace E, Moriarty F, McGarrigle C, Smith SM, Kenny RA, Fahey T. (2018) Self-report versus electronic medical record recorded healthcare utilisation in older community-dwelling adults: Comparison of two prospective cohort studies. PLOS ONE 13(10): e0206201. <a href="https://doi.org/10.1371/journal.pone.0206201">https://doi.org/10.1371/journal.pone.0206201</a></p> <p>The anonymised TILDA dataset is publicly available to researchers who meet the criteria for access, at no monetary cost, from the Irish Social Science Data Archive (ISSDA) at University College Dublin (<a href="https://emea01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.ucd.ie%2Fissda%2Fdata%2Ftilda%2F&data=02%7C01%7C%7Ccc2345c4f5c543bbcddc08d5fd28200c%7C607041e7a8124670bd3030f9db210f06%7C0%7C0%7C636693271128219875&sdata=%2Fcochi1RuRtYSUa5sF9uA%2BjOOoNYIg7DPpk0mZl5D2s%3D&reserved=0">http://www.ucd.ie/issda/data/tilda/</a>) and the Interuniversity Consortium for Political and Social Research (ICPSR) at the University of Michigan (<a href="https://emea01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.icpsr.umich.edu%2Ficpsrweb%2FICPSR%2Fstudies%2F34315&data=02%7C01%7C%7Ccc2345c4f5c543bbcddc08d5fd28200c%7C607041e7a8124670bd3030f9db210f06%7C0%7C0%7C636693271128219875&sdata=7LHSSqU8xotACMsalpAjVrV5m95DlapgQViyr4P%2FsXY%3D&reserved=0">http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/34315</a>). For the CPCR cohort, no provision for data sharing was included in the original ethical approval and participant consent form. As a minimal data set necessary to replicate the present study could not be deidentified due to the large number of demographic variables considered, a synthetic version of the study dataset was produced using the synthpop package in R: <a href="https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcran.r-project.org%2Fweb%2Fpackages%2Fsynthpop%2Findex.html&data=02%7C01%7C%7Ccc2345c4f5c543bbcddc08d5fd28200c%7C607041e7a8124670bd3030f9db210f06%7C0%7C0%7C636693271128229884&sdata=j3If%2FNe%2F1eGsGAt9hyg3ICMqmLec4aOrjRVKppaRSFU%3D&reserved=0">https://cran.r-project.org/web/packages/synthpop/index.html</a>. This dataset and the analytical code for the present study are presented here. Code developed on the synthetic data can be sent to frankmoriarty@rcsi.ie or <a href="mailto:enquiries.cpcr@rcsi.ie">enquiries.cpcr@rcsi.ie</a> to be run on the original data.</p> <p>v1.2 includes a more detailed description of how the dataset was synthesised.</p>
Trophic metacommunities in bromeliad-dwelling insects
<p>This data was collected by D. S. Srivastava and members of her research lab (including B. Gilbert, K. Kirby, J. Ngai, J. Petermann, B. Starzomski) at Estación Biológica Pitilla, in the Área de Conservación Guanacaste in north-western Costa Rica in 1997, 2000, 2002, 2004, 2010. Over these five years, we collected a total of 85 bromeliads between late September and early December. Specifically, this data relates to the abundance of the mosquitoes in the genus Wyeomyia and Culex, and their predator Mecistogaster modesta.</p> <p>Water depths were measured to the nearest mm in three marked leaves of 30 bromeliads, every two days for one year (8 October 2012 to 9 October 2013). The maximum volume of each bromeliad was measured at the inception of the survey. We assumed that mosquito larvae encountered in our invertebrate survey could be affected by water depths only from the period 15 September to 22 December, that is, at most three weeks before and after our survey (as a mosquito encountered at the beginning of the invertebrate survey may be already a late instar, and at the end of our invertebrate survey may be just an early instar). We trimmed our year of water level data to this 15 September-22 December period, and calculated the proportion of days each of the 30 bromeliads had standing water (defined as >5mm moisture, as the basal debris retains some moisture in the absence of standing water).</p>
Soil microarthropods, ground-dwelling arthropods and soil properties in mown and grazed grasslands in the Veluwe region
<p>In order to find out which factors limit the restoration of soil life and their ecosystem services under grasslands on sandy soils, we studied 40 grasslands of which 20 had agricultural and 20 nature land use, all after an agricultural history.</p> <p> </p> <p><strong>Site selection</strong></p> <p>Within the Veluwe region (The Netherlands), we selected 40 grasslands: 20 agricultural grasslands and 20 nature grasslands which were managed as new nature reserves since last tillage. Within each of these two land-use types, two types of grassland management were selected: mowing and grazing. Within each of the four combinations of land use and management we selected ten grasslands over a broad age range since last tillage. All grasslands were located on sandy soils (Typic Haploquod and Plaggeptic Haploquod; Soil Survey Staff 1999) with a deep water table to rule out dispersal of soil fauna during waterlogging (Siepel 1996; Jabbour & Barbercheck 2008).</p> <p> </p> <p><strong>Vegetation and insect surveys</strong></p> <p>Within each grassland a 5×5 meter monitoring plot was laid-out for plant cover surveys, insect and soil-microarthropod sampling and soil analyses. The vegetation surveys were carried out in 2019 at the end of May and in early June, using the Braun-Blanquet method (Braun-Blanquet 1932). In June 2019 soil-surface dwelling insects were sampled with a pitfall trap (Wiggers et al. 2015). Three pitfall traps (8 cm diameter, ca. 20 cm deep) were placed in each plot. Traps were half filled with a solution of water and glycol (3:1) and 3 % Extran soap. A plexiglass cover 20 cm above the trap prevented rainfall diluting the liquid. Traps were removed and emptied after seven days. Insects were identified and grouped at the order level, however, predator groups (carabid and staphylinid beetles, ants and spiders) were identified to the species level in order to group those by their feeding guild.</p> <p> Before analyzing the pitfall trap catches we first removed certain groups from the counts because pitfall traps are not well-suited to catch them systematically: Acari, Collembola, Psocoptera, Thysanoptera, Trichoptera, Lepidoptera, Siphonaptera, Diptera, Symphyta, Apocrita, and Parasitica. The remaining 62.0% of the caught individuals were surface-dwelling animals, and their totals (of three pitfall traps per site) were analyzed with negative-binomial generalized linear models. We also analyzed the subset of predators (73.6% of the surface dwellers).</p> <p> </p> <p><strong>Soil chemical and pesticide sampling and analysis</strong></p> <p>On 8, 9 and 16 October 2019, a bulk soil sample of 50 soil cores (0 - 10 cm) was collected from each 5×5 meter monitoring plot. After homogenization a sub-sample was analyzed for soil chemical analysis. Prior to chemical analysis, samples were oven-dried at 40 °C. Soil acidity of the oven-dried samples was measured in 1 M KCl (pH-KCl). Soil Organic Matter (SOM) was determined by loss-on-ignition (Ball 1964). Ammonium-lactate-extractable P (PAL) was determined according to the standard method (Bronswijk et al. 2003). Total potassium (K) in solution was determined using flame photometry after extraction of soil with HCl (0.1 M) and oxalic acid (0.5 M) in a 1:10 M:V ratio and filtration (Bronswijk et al. 2003). Clay (<2 μm diameter) content was determined through density fractionation (NEN 5753, 2018). Another soil sub-sample was sent to Eurofins Zeeuws-Vlaanderen for pesticide/residue analysis. Samples were freeze-dried and homogenized prior to analysis. Homogenized samples were extracted with acetone, petroleum ether and dichloro-methane using an optimized mini-Luke method. In total 664 pesticides and pesticide residues were analyzed with gas chromatography (Agilent) and liquid chromatography (LC-chromatograph (Agilent) and MSMS (Sciex)). Glyphosate, its residue AMPA and gluphosinate were analyzed using single residue analysis. The detection limit (LOD) was 0,1 mg per kg sample.</p> <p> </p> <p><strong>Soil microarthropods sampling and determination</strong></p> <p>Grasslands were sampled for microarthropods on 8, 9 and 16 October 2019, taking three cores per monitoring plot of 5×5 m. Cores were 5 cm Ø and 5 cm deep mineral soil plus upper litter. Cores were taken in the middle of the monitoring plots, 1 m apart from each other. Cores were extracted on a Tullgren funnel for 7 days. During that period temperature was increased from 35 to 45 <sup>0</sup>C. Ethanol 70% was used as conservation fluid and microarthropods obtained were put into lactic acid 30% for clarification and identification (Siepel & van de Bund 1988). Identification for the main groups is according to Weigmann (2006) for Oribatida, Karg (1993) for Gamasina and Karg (1989) for Uropodina. Nomenclature is according to Siepel et al. (2009) (Oribatida), Siepel et al. (2016) (Astigmatina) and Siepel et al. (2018) (Mesostigmata).</p> <p> </p> <p><strong>Litter decomposition</strong></p> <p>To determine the potential decomposition of soil organic matter on each grassland the Tea Bag Index (TBI) was used (Keuskamp et al. 2013). In each grassland four green tea and four rooibos tea bags were buried at 8 cm deep in May 2019 in the 5×5 meter monitoring plots. After 90 days tea bags were collected and stored at 4 ⁰C prior to drying at 70 ⁰C for 48 hours. After drying, remaining sand and (fine) plant roots were carefully removed and the teabags were weighted to determine weight loss. The decomposition rate (<em>k</em>) and the litter stabilization factor (<em>S</em>) of the tea was calculated using the Tea Bag Index (Keuskamp et al. 2013).</p> <p> </p> <p><strong>Data files</strong></p> <p><em><strong>siteData.csv</strong></em></p> <p>site: grassland ID</p> <p>landuse: agricultural or nature land use</p> <p>treat: mowing or grazing management</p> <p>yearsManaged: number of years since last tillage</p> <p>fertilization: kg available nitrogen applied per hectare</p> <p>nGrazingDaysPerHa: livestock days per hectare per year</p> <p>N: mg nitrogen per 100 g </p> <p>PAl: mg P<sub>2</sub>0<sub>5</sub> per 100 g</p> <p>organicMatter: soil organic matter percentage</p> <p>clay: soil clay percentage</p> <p>nPlantSpecies: number of plant species</p> <p>nForbSpecies: number of forb species</p> <p>nMitesSpringtails: total number of individuals of mites and springtails in three core samples</p> <p>nMitesSpringtailsSpecies: number of mite and springtail species in three core samples</p> <p>shannonMitesSpringtails: Shannon diversity index for microarthropods (mites and springtails)</p> <p>nHerboFungivorousGrazerMitesSpringtails: total number of individuals of mites and springtails that are (herbo-)fungivorous grazers, in three core samples</p> <p>nInsectsSpidersPitfall: number of ground-dwelling insect and spider individuals in pitfall traps</p> <p>nPredatorInsectsSpidersPitfall: number of ground-dwelling insect and spider individuals that are predators, in pitfall traps</p> <p>decompositionRate: decomposition rate based on the Tea Bag Index</p> <p>litterStabilisationFactor: litter stabilization factor based on the Tea Bag Index</p> <p>nPesticides: number of detected pesticides</p> <p>avicidesTotalConcentration: microgram antraquinon per kg dry soil</p> <p>fungicidesTotalConcentration: total microgram of fungicides per kg dry soil</p> <p>insecticidesTotalConcentration: total microgram of insecticides per kg dry soil</p> <p>herbicidesTotalConcentration: total microgram of herbicides per kg dry soil</p> <p>pesticidesTotalConcentration: total microgram of pesticides (avicides+fungicides+herbicides+insecticides) per kg dry soil</p> <p>nPredatorCarabids: number of predator carabid beetles in pitfall traps</p> <p>nPredatorStaphylinids: number of predator staphylinid beetles in pitfall traps</p> <p>distanceToNearestHighway: shortest distance (in meters) to the nearest highway (A-road)</p> <p>distanceToNearestNroad: shortest distance (in meters) to the nearest national road (N-road)</p> <p> </p> <p><em><strong>mitesSpringtails.csv</strong></em></p> <p>core: core ID, consisting of the site ID (number) and core-within-site ID (letter)</p> <p>species: soil mite or springtail taxon encountered in a soil core</p> <p>guild: feeding guild of the soil mite or springtail taxon:</p> <p> b: bacterivorous</p> <p> fb: fungivorous browser</p> <p> fg: fungivorous grazer</p> <p> gp: general predator</p> <p> hb: herbivorous browser</p> <p> hfg: (herbo-)fungivorous grazer</p> <p> hg: herbivorous grazer</p> <p> o: omnivore</p> <p> ohf: opportunistic herbo-fungivore</p> <p>droughtSens: drought strategy of soil mite and springtail taxa</p> <p> 1: drought avoiders</p> <p> 2: drought sensitive</p> <p> 3: drought mesotolerant</p> <p> 4: drought tolerant</p> <p>microart: number of individuals of a taxon found in a soil core</p> <p> </p> <p><em><strong>insecticideData.csv</strong></em></p> <p><em><strong>fungicideData.csv</strong></em></p> <p><em><strong>herbicideData.csv</strong></em></p> <p>site: grassland ID</p> <p>other variables: microgram of a certain pesticide per kg dry soil</p> <p> </p>
Data from: Shifts in ground-dwelling predator communities in response to changes in management intensity in Alpine meadows
<p>Here, we provide raw abundance data from a small-scale case study on the effects of management intensity on ground-dwelling macro-invertebrate communities in extensively and intensively managed hay meadows in South Tyrol, Italy. The fauna was sampled with the pitfall trap methods in two seasons (autumn 2018 and spring 2019). The predatory groups Araneae, Opiliones, Carabidae, Staphylinidae, and Formicidae were identified to species level, the rest – where possible – to family level.</p> <p>The data can be found as absolute numbers (i.e., individuals per pitfall trap) and as standardised numbers (i.e., individuals per sampling day). Additionally, we provide ecological species traits on rarity (for the area of South Tyrol), moisture requirements and ecological tolerance, as well as the Red List statuses.</p>
Extensive crowdsourced dataset of in-situ evaluated binaural soundscapes of private dwellings containing subjective sound-related and situational ratings along with person factors to study time-varying influences on sound perception — research data
<p><strong>Abstract:</strong></p> <p>The soundscape approach highlights the role of situational factors in sound evaluations; however, only a few studies have applied a multi‐domain approach including sound‐related, person‐related, and time‐varying situational variables. Therefore, we conducted a study based on the Experience Sampling Method to measure the relative contribution of a broad range of potentially relevant acoustic and non‐auditory variables in predicting indoor soundscape evaluations. Here we present the comprehensive dataset for which 105 participants reported temporally (rather) stable trait variables such as noise sensitivity, trait affect, and quality of life. They rated 6.594 situations regarding the soundscape standard dimensions, perceived loudness, and the saliency of its sound components and evaluated situational variables such as state affect, perceived control, activity, and location. To complement these subject‐centered data, we additionally crowdsourced object‐centered data by having participants make binaural measurements of each indoor soundscape at their homes using a low‐(self‐)noise recorder. These recordings were used to compute (psycho‐)acoustical indices such as the energetically averaged loudness level, the A‐weighted energetically averaged equivalent continuous sound pressure level, and the A‐weighted five‐percent exceedance level. This complex hierarchical data can be used to investigate time‐varying non‐auditory influences on sound perception and to develop soundscape indicators based on the binaural recordings to predict soundscape evaluations.</p> <p><strong>Content:</strong></p> <ul> <li><a href="https://zenodo.org/record/7858848/files/01%20StudyDescription.pdf">01 StudyDescription.pdf </a> <ul> <li>Description of the field study.</li> <li>Information about the methods and materials used.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/02%20Dataset.csv">02 Dataset.csv</a> <ul> <li>The dataset, consisting of 93 variables describing 6594 observations taken by 105 participants.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/03%20VariableDescriptions_EnglishPersonQuestionnaire.pdf">03 VariableDescriptions_EnglishPersonQuestionnaire.pdf</a> <ul> <li>Descriptions of all variables, their measurement scale, scale ranges and levels.</li> <li>Questions and task descriptions of the Experience Sampling Method questionnaire in German language with an English translation.</li> <li>English translations of questions asked in the person questionnaire.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/04%20ESM-Questionnaire.pdf">04 ESM-Questionnaire.pdf</a> <ul> <li>Screenshots of the original Experience Sampling Method questionnaire with English translations.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/05%20PersonQuestionnaire_OriginalGermanVersion.pdf">05 PersonQuestionnaire_OriginalGermanVersion.pdf</a> <ul> <li>Original version of the person questionnaire in German language.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/06%20HelpTexts.pdf">06 HelpTexts.pdf</a> <ul> <li>Descriptions of the study task.</li> <li>Explanations of the scales used in the questionnaire.</li> <li>Explanations of the sound categories and the soundscape composition.</li> <li>Explanation of the operation of the recording device.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/AcousticFeatures_README.md">AcousticFeatures_README.md</a> <a href="https://zenodo.org/api/files/3d784540-c0f4-412f-8742-df1db6f5401d/TimeSeries_and_Spectrograms_README.md?versionId=9291496c-d2c6-4151-96f1-a2ad99e1a540"> </a> <ul> <li>Descriptions of the structure of the AcousticFeatures_xxx.csv and .zip files.</li> <li>Analyis settings used in Artemis Suite to generate the acoustic features.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/AcousticFeatures_SingleValues.csv">AcousticFeatures_SingleValues.csv</a> <ul> <li>All acoustic features, aggregated to single values per feature, recording, and channel.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/AcousticFeatures_Spectra.csv">AcousticFeatures_Spectra.csv</a> <ul> <li>Time-averaged 1/3 octave spectra of each channel of each recording, A-weichted and un-weighted.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/AcousticFeatures_Spectrograms.zip">AcousticFeatures_Spectrograms.zip</a> <ul> <li>13188 .csv files with un-weighted spetrograms of each channel of each recording.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/AcousticFeatures_TimeSeries.zip">AcousticFeatures_TimeSeries.zip</a> <ul> <li>A .csv file containing LAeq and LZeq time series of each channel of each recording.</li> </ul> </li> </ul> <p><strong>Publications refering to this dataset:</strong></p> <p>Versümer, Siegbert; Steffens, Jochen; Weinzierl, Stefan (currently under review): "The role of loudness predictions, personal and situational factors in day-to-day loudness assessments of indoor soundscapes."</p> <p><strong>Funding:</strong></p> <p>This study was sponsored by the German Federal Ministry of Education and Research. “FHprofUnt” funding code: 13FH729IX6. </p> <p><strong>License: </strong></p> <p>CC 4.0 BY, <a href="https://creativecommons.org/licenses/by/4.0/legalcode">https://creativecommons.org/licenses/by/4.0/legalcode</a></p> <p><strong>Version history:</strong></p> <p>Details can be found in the <a href="https://zenodo.org/api/files/a15d6a91-1a35-4b5e-a7ec-da8a9bcbee2b/Changelog.md">Changelog.md</a> file.</p> <ul> <li> V.01.0. March 7, 2023: Initial publication. <a href="https://doi.org/10.5281/zenodo.7193938">https://doi.org/10.5281/zenodo.7193938</a></li> <li> V.01.1. April 25, 2023. <a href="https://doi.org/10.5281/zenodo.7858848">https://doi.org/10.5281/zenodo.7858848</a></li> </ul>
Concentration of calcium in stream-dwelling Plethodontid salamanders across six streams located with the Coweeta Hydrologic Laboratory, Otto, NC
We examined the concentration of calcium in several species of stream-dwelling plethodontid salamanders captured across six streams located within the Coweeta LTER site. %Ca was measured for 15 Eurycea wilderae, 15 Desmognathus ocoee, and 20 Desmognathus quadramaculatus. Because D. quadramaculatus larvae represent animals across a 3-4 year larval lifespan, for %Ca analysis we randomly sampled 6-8 D. quadramaculatus from each of three size classes: 18-25 mm SVL, 26-33 mm SVL, and 33-40 mm SVL.
Fig. 6 in Highly disjunct and highly infected millipedes - a new cave-dwelling species of Chiraziulus (Diplopoda: Spirostreptida: Cambalidae) from Iran and notes on Laboulbeniales ectoparasites
Fig. 6. Chiraziulus kaiseri (Mauriès, 1983), female vulva. Scanning electron micrographs. A. Vulva in situ behind second pair of legs, posterior view. B. Details of right vulva behind second pair of legs. C. Detail of microtubular structure under the vulva. D. Vulva in ventral view. E. Vulva in anterior view. Abbreviations: o = operculum; b = bursa. Scale bars: A = 100 μm; B–E = 10 μm.
Fig. 3 in Highly disjunct and highly infected millipedes - a new cave-dwelling species of Chiraziulus (Diplopoda: Spirostreptida: Cambalidae) from Iran and notes on Laboulbeniales ectoparasites
Fig. 3. Chiraziulus kaiseri (Mauriès, 1983), paratypes. Scanning electron micrographs. A. Head and first body rings in lateral view. B. Last body rings ("tail") in lateral view. C. Tip of antenna. D. Detail of the limbus; notice lines of beadlike structures between cuticular scutes. E. Detail of labrum in frontal view. F. Gnathochilarium in ventral view; the arrow shows the distomesal setae on stipes. Scale bars: A–B, E–F = 100 μm; C = 10 μm; D = 1 μm.
Fig. 2 in Highly disjunct and highly infected millipedes - a new cave-dwelling species of Chiraziulus (Diplopoda: Spirostreptida: Cambalidae) from Iran and notes on Laboulbeniales ectoparasites
Fig. 2. Distribution of species of Chiraziulus Mauriès, 1983 in Iran (Mauriès 1987). C. troglopersicus sp. nov.: red dot (1); C. kaiseri: yellow dots (2–6). 1. Neyneh Cave. 2. "Chiraz" "montagne greseuse au nord de la ville". 3. 19 km W of Shiraz. 4. 5 km N of Persepolis. 5. Oasis 95 km N of Bandarabass. 6. Sarab Cave.
Fig. 9 in Highly disjunct and highly infected millipedes - a new cave-dwelling species of Chiraziulus (Diplopoda: Spirostreptida: Cambalidae) from Iran and notes on Laboulbeniales ectoparasites
Fig. 9. Chiraziulus troglopersicus sp. nov., ♂, paratype, gonopods. Scanning electron micrographs. A. Anterior gonopods in posterior view. B. Detail of the process on the tip of an anterior gonopod in posterior view. C. Anterior gonopods in anterior view. D. As C, in apical view. E. Tip of the flagellum. F. Posterior gonopods in lateral view. G. Tip of the long spine-like process of the posterior gonopod. H. Posterior gonopods in posterior view. I. As H, in anterior view. J. Detail of the mesal sternal part of the gonopods. Abbreviations: C = coxal process; T = telepodite; f = flagellum; s = setae; dp = distal process. Scale bars: A–D, F, H–I = 10 μm; E, G, J = 1 μm.
Fig. 8 in Highly disjunct and highly infected millipedes - a new cave-dwelling species of Chiraziulus (Diplopoda: Spirostreptida: Cambalidae) from Iran and notes on Laboulbeniales ectoparasites
Fig. 8. Number of podous rings and midbody vertical diameter of the studied specimens. Chiraziulus kaiseri (Mauriès, 1983) in blue; Chiraziulus troglopersicus sp. nov. in red. ▲ = adult ♂♂; ● = juveniles and ♀♀.
Fig. 7 in Highly disjunct and highly infected millipedes - a new cave-dwelling species of Chiraziulus (Diplopoda: Spirostreptida: Cambalidae) from Iran and notes on Laboulbeniales ectoparasites
Fig. 7. Chiraziulus kaiseri (Mauriès, 1983). Comparison of the paratype (A, C, E, G, I and K) and specimen from Ghar Sarab Cave (B, D, F, H, J and L). A–B. Left anterior gonopods, mesal view. C–D. Anterior gonopod, posterior view. E–F. Anterior gonopod, anterior view. G–H. Anterior gonopod, lateral view. I–J. Anterior gonopod, apical view. K–L. Posterior gonopods.
Fig. 12 in Highly disjunct and highly infected millipedes - a new cave-dwelling species of Chiraziulus (Diplopoda: Spirostreptida: Cambalidae) from Iran and notes on Laboulbeniales ectoparasites
Fig. 12. Chiraziulus kaiseri (Mauriès, 1983), paratypes infected with ectoparasitic fungi of the genus Rickia Cavara, order Laboulbeniales. A. Arrows indicate black dots on the body rings corresponding to the insertion of the fungi. B. Scanning electron micrograph of the collum with one fungus (arrow). Scale bars: A = 1 mm; B = 100 μm.
Fig. 5 in Highly disjunct and highly infected millipedes - a new cave-dwelling species of Chiraziulus (Diplopoda: Spirostreptida: Cambalidae) from Iran and notes on Laboulbeniales ectoparasites
Fig. 5. Chiraziulus kaiseri (Mauriès, 1983), ♂, paratypes, gonopods. Scanning electron micrographs. A. Anterior gonopods in anterior view. B. Anterior gonopods with one posterior gonopod in lateral view. C. As B, in apical view. D. As B, in posterior view. E–F. Anterior gonopod with detail of the processes on the tip of anterior gonopods. G–I. Posterior gonopod. J. Detail of the mesal sternal part. Abbreviations: C = coxal process; T = telepodite; Ta = anterior lobe of telopodite; Tb = posterior lobe of telepodite. Scale bars: A, D, I = 100 μm; B–C, E–H = 10 μm.
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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)
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DANDI Archive for NWB datasets
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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.