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SGS-LTER Long-Term Monitoring Project: Small Mammals on Trapping Webs on the Central Plains Experimental Range, Nunn, Colorado, USA 1994 -2006, ARS Study Number 118
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Additional information and referenced materials can be found: http://hdl.handle.net/10217/83452. Small mammals (rabbits, rodents) are integral components of semiarid ecosystems because of their roles as consumers of plants, seeds and arthropods, as soil disturbance agents, and as food for raptors, snakes and mammalian carnivores. Because of their vagility and intermediate trophic position, populations of small mammals may track changes in vegetation and the abiotic environment that may result from shifts in land-use and other anthropogenic disturbances. However, these populations are variable over space and time, and their response to environmental changes may not be immediately apparent given their behavioral flexibility and relatively long life-spans and generation times. Patterns in the distribution and abundance of small mammals thus may simultaneously reflect and affect the stability of the shortgrass-steppe ecosystem. Long-term studies of population and community dynamics therefore are needed to fully understand the role of small mammals in grassland ecosystems. In 1994, we implemented a sampling scheme to monitor long-term changes in relative abundance of small mammals in representative habitats of shortgrass steppe. We live-trapped nocturnal rodents twice each
SGS-LTER Long-Term Monitoring Project: Spermophilus tridecemlineatus on Small Mammal Trapping Webs on the Central Plains Experimental Range, Nunn, Colorado, USA 1999 -2006, ARS Study Number 118
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Additional information and referenced materials can be found: http://hdl.handle.net/10217/83456. Small mammals (rabbits, rodents) are integral components of semiarid ecosystems because of their roles as consumers of plants, seeds and arthropods, as soil disturbance agents, and as food for raptors, snakes and mammalian carnivores. Because of their vagility and intermediate trophic position, populations of small mammals may track changes in vegetation and the abiotic environment that may result from shifts in land-use and other anthropogenic disturbances. However, these populations are variable over space and time, and their response to environmental changes may not be immediately apparent given their behavioral flexibility and relatively long life-spans and generation times. Patterns in the distribution and abundance of small mammals thus may simultaneously reflect and affect the stability of the shortgrass-steppe ecosystem. Long-term studies of population and community dynamics therefore are needed to fully understand the role of small mammals in grassland ecosystems. Thirteen-lined ground squirrels (Spermophilus tridecemlineatus, SPTR) are the most widely distributed rodent species in shortgrass steppe and the most important in terms of abundance and biomass. Like mo
SGS-LTER Long-Term Monitoring Project: Vegetation Cover on Small Mammal Trapping Webs on the Central Plains Experimental Range, Nunn, Colorado, USA 1999 -2006, ARS Study Number 118
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Additional information and referenced materials can be found: http://hdl.handle.net/10217/83458. The abundance and diversity of small mammals in shortgrass steppe is strongly influenced by the structure and composition of vegetation. Vegetation structure provides cover from predators and harsh abiotic conditions. Plant species composition affects the types of seeds and herbaceous material available to granivores and herbivores, and influences arthropod populations, which are important prey for the omnivorous species that dominate in shortgrass steppe. Both vegetation structure and plant community composition are sensitive to the availability of precipitation as well as the activity of large mammalian herbivores. In 1999, we began measuring vegetation structure and plant community composition on the three grassland and three shrubland trapping webs where we live-trap small mammals. Vegetation measurements are made once each year, usually in mid-July. Percent canopy cover of each plant species was estimated visually in 30 0.10-m2 Daubenmire quadrats on each web. To estimate habitat structure, we measured the height of grass, forb and shrub plants adjacent to each quadrat, the density of half-shrubs, small mammal mounds and burrows, harvester ant mounds and the dimension
SGS-LTER Long-Term Monitoring Project: Vegetation Structure on Small Mammal Trapping Webs on the Central Plains Experimental Range, Nunn, Colorado, USA 1999 -2006, ARS Study Number 118
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Additional information and referenced materials can be found: http://hdl.handle.net/10217/83458. The abundance and diversity of small mammals in shortgrass steppe is strongly influenced by the structure and composition of vegetation. Vegetation structure provides cover from predators and harsh abiotic conditions. Plant species composition affects the types of seeds and herbaceous material available to granivores and herbivores, and influences arthropod populations, which are important prey for the omnivorous species that dominate in shortgrass steppe. Both vegetation structure and plant community composition are sensitive to the availability of precipitation as well as the activity of large mammalian herbivores. In 1999, we began measuring vegetation structure and plant community composition on the three grassland and three shrubland trapping webs where we live-trap small mammals. Vegetation measurements are made once each year, usually in mid-July. Percent canopy cover of each plant species was estimated visually in 30 0.10-m2 Daubenmire quadrats on each web. To estimate habitat structure, we measured the height of grass, forb and shrub plants adjacent to each quadrat, the density of half-shrubs, small mammal mounds and burrows, harvester ant mounds and the dimension
SGS-LTER Long Term Nitrogen Concentration in LTNPP Monitoring on the Central Plains Experimental Range, Nunn, Colorado, USA 1987 - 2011, ARS Study Number 6
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Additional information and referenced materials can be found: http://hdl.handle.net/10217/83462. Aboveground plant nitrogen dynamics monitoring consists of two separate data sets. a) Long-term peak-crop nitrogen concentrations have been sampled since 1983 annually from sites sampled for ANPP estimates across the CPER. Plots are clipped for ANPP in August each year and include moderately grazed sites in sections 24 and 25, ungrazed treatments at ESA and owl creek, coarse textured soils in owl creek, fine textured soils in section 25, as well as three catena topopositions in section 24. These datasets have been designed for monitoring and so it is advised to consider calcuating average based at the transect level. B) Seasonal dynamics of life-form (dominant grass, forb, shrub species) nitrogen concentrations were obtained from random grab samples of aboveground plant tissue are taken monthly from May-Aug. and in Oct., Dec., Feb., and April from 1983 – 2007 at sites where ANPP has been collected since 1983 (ESA, ridge, mid-slope and swale in section 24). The objectives are to assess annual/seasonal weather and site productivity/management with quantity and quality of forage and/or litter production. Combined, these two data sets also provide an estimate of nitrogen yield
Antimicrobial resistance monitoring results complementing the EU Overview Summary Report on AMR in zoonotic and indicator bacteria from humans, animals and food in 2017/2018 - Ireland
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: AMR_2018_IE_20200204: >> The Food Safety Authority of Ireland</p>
Antimicrobial resistance monitoring results complementing the EU Overview Summary Report on AMR in zoonotic and indicator bacteria from humans, animals and food in 2017/2018 - Sweden
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: AMR_2018_SE_20200204: >> National Veterinary Institute, Swedish Zoonosis Centre</p>
Antimicrobial resistance monitoring results complementing the EU Overview Summary Report on AMR in zoonotic and indicator bacteria from humans, animals and food in 2017/2018 - Latvia
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: AMR_2018_LV_20200204: >> Assessment and Registration Agency of Food and Veterinary Service of Latvia</p>
Antimicrobial resistance monitoring results complementing the EU Overview Summary Report on AMR in zoonotic and indicator bacteria from humans, animals and food in 2017/2018 - Spain
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: AMR_2018_ES_20200204: >> Agencia Espaola de Consumo, Seguridad Alimentaria y Nutricin >> Ministerio de Agricultura, Pesca y Alimentacin</p>
Specific monitoring results of ESBL-/AmpC-/carbapenemase-producing bacteria and specific monitoring of carbapenemase-producing bacteria, in the absence of isolates detected complementing the European Union Overview Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2017/2018
<p>This dataset derives from the specific monitoring of E. coli producers of ESBLs/AmpC/carbapenemases, as well as the specific monitoring of carbapenemase-producers (voluntary reporting), in the absence of any isolates detected. This dataset contains only data when Total units positive equals zero '0'.</p>
Antimicrobial resistance monitoring results complementing the EU Overview Summary Report on AMR in zoonotic and indicator bacteria from humans, animals and food in 2017/2018 - Cyprus
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: AMR_2018_CY_20200204: >> Ministry of Agriculture, Natural Resources and Evironment - Veterinary Services</p>
Antimicrobial resistance monitoring results complementing the EU Overview Summary Report on AMR in zoonotic and indicator bacteria from humans, animals and food in 2017/2018 - Iceland
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: AMR_2018_IS_20200204: >> Icelandic Food and Veterinary Authority</p>
Floristic monitoring of the 1,324 alignment tree bases of 15 streets in the district of Bercy, Paris, France, from 2009 to 2018
<p>Floristic monitoring of the 1,324 alignment tree bases of 15 streets in the district of Bercy, Paris, France, from 2009 to 2018.</p> <p>Nathalie Machon (CESCO, MNHN-CNRS-Sorbonne-Université)</p> <p>Data collectors : Noëlie Maurel, Marion Noualhaguet, Marion Dubois, Sébastien Julliard, Ambre Zéléla Bouvard, Paul Haenel, Florence Devers, Hélène Beaugeard, Gwendoline Chastel, laure Schneider-Maunoury and Mona Omar</p> <p>Centre d’Ecologie et des Sciences de la Conservation, Muséum national d’Histoire naturelle, 61 rue Buffon, 75005 Paris, nathalie.machon@mnhn.fr</p> <p>In cities, trees planted along streets host at their base a high number of spontaneous plants. Thus, they may provide shelters and corridors across the urban matrix.</p> <p>From 2009, we monitor urban tree bases in streets of Paris, France. Our objective is to follow the dynamics of these plant communities (Omar et al. 2018, 2019).</p> <p> </p> <p><strong>Study area and floristic inventories</strong></p> <p>The monitoring was performed in the 12th administrative district of Paris (Postal code: 75012; France; 48°50′26.91″N, 2°23′17.46″E),</p> <p>We monitored the 1,324 tree bases distributed along the 15 streets or avenues which contained at least 30 alignment trees in the district.</p> <p>Tree bases (TB) were for some of them covered by metal grills (grill/soil) to prevent soil compaction to preserve tree roots.</p> <p>The present file gives the list of all wild vascular plant taxa observed in each tree base, in May or June, each year from 2009 to 2018 except in 2013 because of a lack of observers. The taxonomic reference is the French Flora Reference TAXREF v8.0 (Gargominy et al., 2016).</p>
SHYFEM set-up for model driven optimization of the tide gauge monitoring network in the Venice Lagoon
<p>This database include all configuration files, script and data for running the<br> simulations and elaborate the results presented in the work entitled "Model-driven<br> optimization of coastal sea observatories through data assimilation in a finite<br> element hydrodynamic model (SHYFEM v. 7_5_65)" to be submitted in Geoscientific Model<br> Development (GMD).</p>
supplementary materials (source code and raw experimental results) for the paper Precision, Recall, and Sensitivity of Monitoring Partially Synchronous Distributed Programs
<p>This is the supplementary materials (source code and raw experimental results) for the paper Precision, Recall, and Sensitivity of Monitoring Partially Synchronous Distributed Systems.</p> <p>Please contact Duong Nguyen (<a href="mailto:nguye476@msu.edu">nguye476@msu.edu</a>) for any questions.</p> <p>Content:</p> <pre><code>TPDS-Precision-Recall-Upload | +- program: source code | +- aws-experiment: source code for running programs and monitors on Amazon Web Service (AWS) | +- interval-based | +- lib: relevant libraries for compiling code | +- wcp-process: source code of programs | +- wcp_process_compile_and_export_jar.sh: script for compiling program | +- simulations: source code for simulations | +- data: experiment and simulation results</code></pre>
Fish monitoring Cayo Arcas database
<p>Fish data collected on April 26th to May 4th, 2019 in Cayo Arcas reef, southern Gulf of Mexico, Mexico</p> <p>English<br> Ichthyofauna monitoring data collected on April 26th to May 4th, 2019 in Cayo Arcas reef, southern Gulf of Mexico. Were sampled 15 sites with depths between 2.0-10.5 m. At each site, the monitoring was made with two transects of 25 x 4 m. An area of 3,400 m2 was covered. A total of 4,558 fish were registered, corresponding to 26 families and 75 species (this count includes the species of invasive damsel Neopomacentrus cyanomos).<br> This is part of BDMY (Biodiversidad Marina de Yucatan) lab research.<br> Please, cite this data set as: "Rivera-Higueras M and Simões N (2020). Fish monitoring Cayo Arcas 2019 database.”<br> Acknowledgments:<br> Universidad Nacional Autónoma de México (UNAM).<br> Unidad Multidisciplinaria de Docencia e Investigación-Sisal, Facultad de Ciencias, UNAM.<br> Harte Charitable Foundation.<br> Harte Research Institute for Gulf of Mexico Studies.<br> Oceanographic Research Station Carmen. 7ma Zona Naval. Dirección General de Investigación y Desarrollo. Secretaría de Marina.<br> BI-04 Antares, Secretaría de Marina.<br> Antares Captain BI-04: Cap. Frag. C. G. Jorge Abraham Martínez Vázquez, Secretaría de Marina.<br> Oceanographic Campaign Leader: Tte. Nav. SMAM. Edwalt Hernández Torralba, Secretaría de Marina.</p> <p>Español<br> Datos de monitoreo de ictiofauna recolectados del 26 de abril al 4 de mayo en el arrecife Cayo Arcas, sur del Golfo de México. Se muestrearon 15 sitios con profundidades entre 2.0-10.5 m. Se realizaron dos transectos de 25 x 4 m en cada sitio. Se registró un área total de 3,400 m2. Se registraron un total de 4,558 peces, que corresponden a 26 familias y 75 especies (dicha cuenta incluye a la especie de damisela invasora Neopomacentrus cyanomos).<br> Esta información es parte del laboratorio de investigación BDMY (Biodiversidad Marina de Yucatán).<br> Por favor, cite la información de esta base de datos como: “Rivera-Higueras M and Simões N (2020). Fish monitoring Cayo Arcas 2019 database.”<br> Agradecimientos:<br> Universidad Nacional Autónoma de México (UNAM).<br> Unidad Multidisciplinaria de Docencia e Investigación-Sisal, Facultad de Ciencias, UNAM.<br> Harte Charitable Foundation.<br> Harte Research Institute for Gulf of Mexico Studies.<br> Estación de Investigación Oceanográfica Carmen. 7ma Zona Naval. Dirección General de Investigación y Desarrollo. Secretaría de Marina.<br> BI-04 Antares, Secretaría de Marina.<br> Capitán Antares BI-04: Cap. Frag. C. G. Jorge Abraham Martínez Vázquez, Secretaría de Marina.<br> Jefe de Campaña Oceanográfica: Tte. Nav. SMAM. Edwalt Hernández Torralba, Secretaría de Marina.</p> <p> </p>
Figure 10 in Taxonomy of Micronesian monitors (Reptilia: Squamata: Varanus): endemic status of new species argues for caution in pursuing eradication plans
Figure 10. Varanus bennetti sp. nov., Ngarchelong, Palau (photo by Thibaud Aronson).
The zebra mussel (Dreissena polymorpha) as a model organism for ecotoxicological studies: a prior 1H NMR spectrum interpretation of a whole body extract for metabolism monitoring.
<p>NMR data of the zebra mussel <em>Dreissena polymorpha</em> whole body polar extract metabolome</p> <p>- 1D <sup>1</sup>H annotated spectrum - 600 MHz</p> <p>- 2D <sup>1</sup>H-<sup>1</sup>H JRES spectrum - 600 MHz</p> <p>- 2D<sup>1</sup>H-<sup>1</sup>H COSY spectrum - 600 MHz</p> <p>- 2D<sup>1</sup>H-<sup>1</sup>H TOCSY spectrum - 600 MHz</p> <p>- 2D<sup>1</sup>H-<sup>13</sup>C HSQC spectrum - 600 MHz</p> <p>- 2D<sup>1</sup>H-<sup>13</sup>C HSQC spectrum - 800 MHz</p> <p>- 2D<sup>1</sup>H-<sup>31</sup>P HSQC spectrum - 800 MHz</p> <p>- <sup>1</sup>H annotated spectrum description tables (.xlsx)</p> <p>- Instructions for data visualization in Topspin</p>
Data for journal article: "Automated precipitation monitoring with the Thies disdrometer: Biases and ways for improvement"
<p>This dataset contains data used for the journal article" Automated precipitation monitoring with the Thies disdrometer: Biases and ways for improvement" submitted to Atmospheric Measurement Techniques.</p>
Microfluidic monitoring of the growth of individual hyphae in confined environments
Soil fungi have the ability to form large mycelial networks. They rely on the resources available in the soil to produce biomass, and are able to degrade complex biomolecules. Some of them can even degrade recalcitrant organic pollutants and are considered promising candidates for soil bioremediation strategies. However, the success of this approach depends on the ability of fungi to colonize the soil matrix, where they encounter spatial and temporal variations of confinement, humidity and nutrient concentration. In this paper, we present a study of fungal growth at the scale of single hyphae in a microfluidic device, allowing fine control of nutrient and water supply. Time-lapse microscopy allowed simultaneous monitoring of the growth of dozens of hyphae of Talaromyces helicus, a soil isolate, and of the model fungus Neurospora crassa through parallel microchannels. The distributions of growth velocity obtained for each strain were compared to measurements obtained in macroscopic solid culture. For the two strains used in the study, confinement caused the growth velocity to drop in comparison with unconfined experiments. In addition, N. crassa was also limited in its growth by the nutrient supply, while the microfluidic culture conditions seemed better suited for T. helicus. Qualitative observations of fungi growing in microfluidic chambers without lateral confinement also revealed that side walls influence the branching behavior of hyphae. This study is one of the first to consider the confinement degree within soil microporosities as a key factor of fungal growth, and to adress its effect, along with physicochemical parameters, on soil colonization, notably for bioremediation purposes.
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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.