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Continuous soil temperature, specific conductance, and volumetric water content measurements from the Water Track B Active Layer Monitoring Station (ALMS06), McMurdo Dry Valleys, Antarctica (2014-2021, ongoing)
As part of the McMurdo Dry Valleys Long Term Ecological Research (LTER) project, five Active Layer Monitoring Stations (ALMSs) were established throughout Taylor Valley, Antarctica to support new research foci around the thermal-moisture dynamics of soils that may control habitat conditions and faunal responses to seasonal and annual freezing cycles in this ecosystem. Two ALMSs were established adjacent to streams (Green Creek, Von Guerard Stream), with sensors installed through the active layer from the thalweg out to the shoreline and dry soil beyond. Two ALMSs were similarly established adjacent to water tracks (Wormherder Creek, Water Track B) that are zero-order drainages of snow and ice melt that rarely have surface flow. The remaining station was established in dry soil (F6) to serve as an ambient control. ALMSs measure soil temperature, soil moisture (as volumetric water content; VWC), and specific conductance (as electrical conductivity; EC) through the active layer (soil surface down to the frost table) at several locations from the water’s edge to dry soils. This data package contains measurements from the Active Layer Monitoring Station at Water Track B (ALMS06).
Middle Rio Grande riparian plant cover sensitivity to variability in groundwater depth collected by the Bosque Ecosystem Monitoring Program
Determining the ecological consequences of interactions between slow changes in long-term climate means and amplified variability in climate is an important research frontier in plant ecology. We combined the recent approach of climate sensitivity functions with a revised hydrological ‘bucket model’ to improve predictions on how plant species will respond to future changes in both the mean and variance of groundwater resources. We leveraged spatiotemporal variation in a long-term dataset of riparian vegetation cover to build the first groundwater sensitivity functions (GSFs) for common plant species of dryland riparian corridors. Our results demonstrate the value of this approach to identifying which plant species will thrive (or fail) in an increasingly variable climate layered on top of declining groundwater stores. Riparian plant species differed in sensitivity to both the mean and variance in groundwater levels. Rio Grande cottonwood (Populus deltoides ssp. wislizenii) cover was predicted to decline with greater interannual groundwater variance, while coyote willow (Salix exigua) and other native wetland species were predicted to benefit from greater year-to-year variance. No non-native species were sensitive to groundwater variance, but patterns for Russian olive (Elaeagnus angustifolia) predict declines under deeper mean groundwater tables. Warm air temperatures modulated groundwater sensitivity for cottonwood, which was more sensitive to variability in groundwater in years/sites with warmer maximum temperatures than in cool sites/periods. Cottonwood cover declined most with greater intra-annual coefficients of variation (CV) in groundwater, but was not significantly correlated with inter-annual CV, perhaps due to the relatively short time series (16 y) relative to cottonwood lifespan. In contrast, non-native tamarisk (Tamarix chinensis) cover increased with both intra- and inter-annual CV in groundwater. Altogether, our results predict that changes in groundw
Data from Open Research Data: SNSF monitoring report 2017-2018
<p>This file collection is part of Open Research Data: SNSF monitoring report 2017-2018 (doi 10.5281/zenodo.3618123). This report gives a first overview on the research data management practices adopted by researchers since the introduction of the SNSF Open Research Data Policy in 2017. </p> <p>Please cite this data collection as:<br> Milzow, Katrin; von Arx, Martin; Sommer, Cornélia; Cahenzli, Julia and Perini, Lionel (February 2020). Data from Open Research Data: SNSF monitoring report 2017-2018. Zenodo (10.5281/zenodo.3618209)</p> <p>Further information is given in the corresponding monitoring report<br> Milzow, Katrin; von Arx, Martin; Sommer, Cornélia; Cahenzli, Julia and Perini, Lionel (February 2020). Open Research Data: SNSF monitoring report 2017-2018. Zenodo (10.5281/zenodo.3618123)</p> <p> </p> <p><strong>Contact</strong></p> <p>Swiss National Science Foundation (SNSF)</p> <p>Open Research Data group</p> <p>E-mail: ord@snf.ch</p>
The GIS database of Woodnat project for the inventory and monitoring of walnut plantation in Italy and Spain
<p>The database contains 95 selected walnut plantations monitored with the financings of the H2020 WOODnat project in Italy and Spain and georeferenced in WGS84 reference system (EPSG 4326). For each plantation, stationary, cultural and climatic data are available; on a sample of 30 trees for each plot data of growth, wood quality and sanitary conditions are available. These data can be exploited to assess potential wood volume obtainable and quality of raw material, and to identify the weaknesses and errors, strengths and opportunities of the experiences conducted to plan future plantings with greater awareness.</p>
APHA/FSA monitoring programme for Campylobacter in broiler flocks and broiler carcases in the UK (2012-2017) (FS241051, FS101126)
<p><em>Campylobacter </em>counts from broiler caecal samples and broiler carcases samples in the United Kingdom.</p>
3D Point Cloud of a railway slope - MOMIT (Multi-scale observation and monitoring of railway infrastructure threats) EU project - H2020-EU.3.4.8.3. - Grant agreement ID: 777630
<p>3D point cloud of a railway trench in Lavancia-Épercy (France). The 3D point cloud has been generated from pictures obtained by means of a UAV (DJI Matrice 600 Pro) and processed using Agisoft Metashape. The 3D point cloud is composed of 110,356,682<strong> </strong> million points containing XYZ and RGB information.</p> <p>The original file is in .bin format and is compressed in zip format.</p> <p> </p>
BDMYRepository/Coral and substratum monitoring Cayo Arcas 2019 database 1.0
<p>English</p> <p>Coral and substratum monitoring data collected on April 26th to May 4th, 2019 in Cayo Arcas reef, southern Gulf of Mexico. Were sampled 17 sites with depths between 0.8-12.0 m. At each site, two transects (25 m) were placed. The benthic coverage category below the line every 25 cm was registered. Eighteen categories were used to describe the benthic coverage, which were established according to the categories of the Atlantic and Gulf Rapid Reef Assessment (AGRRA) project. At each sampling site, two-band transects 10 m long by 1 m wide were made to scleractinian coral monitoring. Were sampled a total area of 340 m<sup>2</sup>. All colonies greater than 4 cm in length were recorded. We recorded a total of 25 scleractinian coral species.</p> <p>This is part of BDMY (Biodiversidad Marina de Yucatan) lab research.</p> <p>Acknowledgments:</p> <ul> <li>Universidad Nacional Autónoma de México (UNAM).</li> <li>Unidad Multidisciplinaria de Docencia e Investigación-Sisal, Facultad de Ciencias, UNAM.</li> <li>Harte Charitable Foundation.</li> <li>Harte Research Institute for Gulf of Mexico Studies.</li> <li>Oceanographic Research Station Carmen. 7ma Zona Naval. Dirección General de Investigación y Desarrollo. Secretaría de Marina.</li> <li>BI-04 Antares, Secretaría de Marina.</li> <li>Antares Captain BI-04: Cap. Frag. C. G. Jorge Abraham Martínez Vázquez, Secretaría de Marina.</li> <li>Oceanographic Campaign Leader: Tte. Nav. SMAM. Edwalt Hernández Torralba, Secretaría de Marina.</li> </ul> <p>Español</p> <p>Datos de monitoreo de corales y sustrato recolectados del 26 de abril al 4 de mayo en el arrecife Cayo Arcas, sur del Golfo de México. Se muestrearon 17 sitios con profundidades entre 0.8-12.0 m. Se muestrearon dos transectos (25 m) por sitio. La categoría de cubierta bentónica bajo la línea fue registrada cada 25 cm. Se utilizaron dieciocho categorías para describir la cubierta bentónica, que fueron establecidos de acuerdo con las categorías del proyecto Atlantic and Gulf Reef Assessment (AGRRA). El monitoreo de corales escleractinios para cada sitio de muestreo se realizó mediante dos transectos de banda de 10 m de largo por 1 m de ancho. Se muestreó un área total de 340m<sup>2</sup>. Se registraron todas las colonias mayores a 4 cm de longitud. Registramos un total de 25 especies de coral escleractinio.</p> <p>Esta información es parte del laboratorio de investigación BDMY (Biodiversidad Marina de Yucatán).</p> <p>Agradecimientos:</p> <ul> <li>Universidad Nacional Autónoma de México (UNAM).</li> <li>Unidad Multidisciplinaria de Docencia e Investigación-Sisal, Facultad de Ciencias, UNAM.</li> <li>Harte Charitable Foundation.</li> <li>Harte Research Institute for Gulf of Mexico Studies.</li> <li>Estación de Investigación Oceanográfica Carmen. 7ma Zona Naval. Dirección General de Investigación y Desarrollo. Secretaría de Marina.</li> <li>BI-04 Antares, Secretaría de Marina.</li> <li>Capitán Antares BI-04: Cap. Frag. C. G. Jorge Abraham Martínez Vázquez, Secretaría de Marina.</li> <li>Jefe de Campaña Oceanográfica: Tte. Nav. SMAM. Edwalt Hernández Torralba, Secretaría de Marina.</li> </ul>
BDMYRepository/Fish monitoring Cayo Arcas 2019 database 1.0
<p>English</p> <p>Ichthyofauna monitoring data collected on April 26<sup>th</sup> to May 4<sup>th</sup>, 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 m<sup>2</sup> 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 <em>Neopomacentrus cyanomos</em>).</p> <p>This is part of BDMY (Biodiversidad Marina de Yucatan) lab research.</p> <p>Acknowledgments:</p> <ul> <li>Universidad Nacional Autónoma de México (UNAM).</li> <li>Unidad Multidisciplinaria de Docencia e Investigación-Sisal, Facultad de Ciencias, UNAM.</li> <li>Harte Charitable Foundation.</li> <li>Harte Research Institute for Gulf of Mexico Studies.</li> <li>Oceanographic Research Station Carmen. 7ma Zona Naval. Dirección General de Investigación y Desarrollo. Secretaría de Marina.</li> <li>BI-04 Antares, Secretaría de Marina.</li> <li>Antares Captain BI-04: Cap. Frag. C. G. Jorge Abraham Martínez Vázquez, Secretaría de Marina.</li> <li>Oceanographic Campaign Leader: Tte. Nav. SMAM. Edwalt Hernández Torralba, Secretaría de Marina.</li> </ul> <p> </p> <p>Español</p> <p>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 m<sup>2</sup>. 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 <em>Neopomacentrus cyanomos</em>).</p> <p>Esta información es parte del laboratorio de investigación BDMY (Biodiversidad Marina de Yucatán).</p> <p>Agradecimientos:</p> <ul> <li>Universidad Nacional Autónoma de México (UNAM).</li> <li>Unidad Multidisciplinaria de Docencia e Investigación-Sisal, Facultad de Ciencias, UNAM.</li> <li>Harte Charitable Foundation.</li> <li>Harte Research Institute for Gulf of Mexico Studies.</li> <li>Estación de Investigación Oceanográfica Carmen. 7ma Zona Naval. Dirección General de Investigación y Desarrollo. Secretaría de Marina.</li> <li>BI-04 Antares, Secretaría de Marina.</li> <li>Capitán Antares BI-04: Cap. Frag. C. G. Jorge Abraham Martínez Vázquez, Secretaría de Marina.</li> <li>Jefe de Campaña Oceanográfica: Tte. Nav. SMAM. Edwalt Hernández Torralba, Secretaría de Marina.</li> </ul>
Coral and substratum monitoring Cayo Arcas database
<p>English<br> Coral and substratum monitoring data collected on April 26th to May 4th, 2019 in Cayo Arcas reef, southern Gulf of Mexico. Were sampled 17 sites with depths between 0.8-12.0 m. At each site, two transects (25 m) were placed. The benthic coverage category below the line every 25 cm was registered. Eighteen categories were used to describe the benthic coverage, which were established according to the categories of the Atlantic and Gulf Rapid Reef Assessment (AGRRA) project. At each sampling site, two-band transects 10 m long by 1 m wide were made to scleractinian coral monitoring. Were sampled a total area of 340 m2. All colonies greater than 4 cm in length were recorded. We recorded a total of 25 scleractinian coral species.<br> This is part of BDMY (Biodiversidad Marina de Yucatan) lab research.<br> Please, cite this data set as: "Padierna-López M, Hernández-Díaz YQ and Simões N (2020). Coral and substratum monitoring Cayo Arcas 2019 database.”</p> <p>Español<br> Datos de monitoreo de corales y sustrato recolectados del 26 de abril al 4 de mayo en el arrecife Cayo Arcas, sur del Golfo de México. Se muestrearon 17 sitios con profundidades entre 0.8-12.0 m. Se muestrearon dos transectos (25 m) por sitio. La categoría de cubierta bentónica bajo la línea fue registrada cada 25 cm. Se utilizaron dieciocho categorías para describir la cubierta bentónica, que fueron establecidos de acuerdo con las categorías del proyecto Atlantic and Gulf Reef Assessment (AGRRA). El monitoreo de corales escleractinios para cada sitio de muestreo se realizó mediante dos transectos de banda de 10 m de largo por 1 m de ancho. Se muestreó un área total de 340m2. Se registraron todas las colonias mayores a 4 cm de longitud. Registramos un total de 25 especies de coral escleractinio.<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: "Padierna-López M, Hernández-Díaz YQ and Simões N (2020). Coral and substratum monitoring Cayo Arcas 2019 database.”<br> Agradecimientos:</p> <p>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>
Figure 12 in Taxonomy of Micronesian monitors (Reptilia: Squamata: Varanus): endemic status of new species argues for caution in pursuing eradication plans
Figure 12. Adult Varanus bennetti sp. nov., Losiep Island, Federated States of Micronesia (photo by James Reardon).
Figure 5 in Taxonomy of Micronesian monitors (Reptilia: Squamata: Varanus): endemic status of new species argues for caution in pursuing eradication plans
Figure 5. (a) Dorsolateral and ventral aspects of the neotype (USNM 576258) of Varanus tsukamotoi. (b) Lateral profile of the head of the neotype (USNM 576258) of Varanus tsukamotoi.
Figure 8 in Taxonomy of Micronesian monitors (Reptilia: Squamata: Varanus): endemic status of new species argues for caution in pursuing eradication plans
Figure 8. (a) Dorsolateral and ventral aspects of the holotype (USNM 507504) of Varanus bennetti sp. nov. (b) Lateral profile of the head of the holotype (USNM 507504) of Varanus bennetti sp. nov.
Figure 11 in Taxonomy of Micronesian monitors (Reptilia: Squamata: Varanus): endemic status of new species argues for caution in pursuing eradication plans
Figure 11. Subadult Varanus bennetti sp. nov., Losiep Island, Federated States of Micronesia (photo by James Reardon).
Figure 1 in Taxonomy of Micronesian monitors (Reptilia: Squamata: Varanus): endemic status of new species argues for caution in pursuing eradication plans
Figure 1. Map of the Pacific region showing the distribution of Varanus tsukamotoi (white dots), V. bennetti sp. nov. (red dots), V. lirungensis (yellow dot) and V. rainerguentheri (green dot).
Figure 2 in Taxonomy of Micronesian monitors (Reptilia: Squamata: Varanus): endemic status of new species argues for caution in pursuing eradication plans
Figure 2. (a) Linear discriminant function analysis of scalational characters for V. bennetti sp. nov., V. lirungensis, V. rainerguentheri and V. tsukamotoi showing non-overlapping multivariate morpho-spaces for all species except V. bennetti sp. nov. and V. rainerguentheri. (b) Box-plot of relative tail length (proportion index 1) for examined individuals of V. bennetti sp. nov., V. lirungensis, V. rainerguentheri and V. tsukamotoi showing the exceptionally long tail of V. bennetti sp. nov.
Figure 3 in Taxonomy of Micronesian monitors (Reptilia: Squamata: Varanus): endemic status of new species argues for caution in pursuing eradication plans
Figure 3. Strict consensus of the nine most-parsimonious trees resulting from the TNT analysis. Jackknife resampling values greater than 50% are shown above, and the numbers of synapomorphies shared by each clade are shown below the nodes in parentheses. Branch lengths represent the number of optimized character-state changes.
GECCO Industrial Challenge 2017 Dataset: A water quality dataset for the 'Monitoring of drinking-water quality' competition at the Genetic and Evolutionary Computation Conference 2017, Berlin, Germany.
<p>Dataset of the 'Industrial Challenge: Monitoring of drinking-water quality' competition hosted at The Genetic and Evolutionary Computation Conference (GECCO) July 15th-19th 2017, Berlin, Germany</p> <p> </p> <p>The task of the competition was to develop an anomaly detection algorithm for a water- and environmental data set.</p> <p> </p> <p>Included in zenodo: </p> <p>- dataset of water quality data</p> <p>- additional material and descriptions provided for the competition</p> <p> </p> <p>The competition was organized by:</p> <p>M. Friese, J. Stork, A. Fischbach, M. Rebolledo, T. Bartz-Beielstein (TH Köln)</p> <p> </p> <p>The dataset was provided and prepared by:</p> <p>Thüringer Fernwasserversorgung,</p> <p>IMProvT research project (S. Moritz)</p> <p><br> </p> <p>Industrial Challenge: Monitoring of drinking-water quality</p> <p> </p> <p>Description:</p> <p>Water covers 71% of the Earth's surface and is vital to all known forms of life. The provision of safe and clean drinking water to protect public health is a natural aim. Performing regular monitoring of the water-quality is essential to achieve this aim.</p> <p>Goal of the GECCO 2017 Industrial Challenge is to analyze drinking-water data and to develop a highly efficient algorithm that most accurately recognizes diverse kinds of changes in the quality of our drinking-water.</p> <p> </p> <p>Submission deadline:</p> <p>June 30, 2017</p> <p>Official webpage:</p> <p><a href="http://www.spotseven.de/gecco-challenge/gecco-challenge-2017/">http://www.spotseven.de/gecco-challenge/gecco-challenge-2017/</a></p>
Austrian Science Fund (FWF) Open Access Compliance Monitoring 2019
<p><strong>I. Executive summary</strong></p> <p>The Austrian Science Fund (FWF), which is Austria's main funding organisation for basic research, encourages and helps all project leaders and project staff members to make their peer-reviewed research results freely available on the Internet. Any exceptions must be clearly indicated and justified. For projects that started after 1 January 2015, open access has been compulsory for all peer-reviewed publications. All principal investigators in FWF-funded projects are obliged to submit a final report within three months of completing their projects.</p> <p>In 2019 all in all 565 final reports were submitted to the FWF, 44 out of them couldn't report publications by now. The publications and other data mentioned in those reports are archived and analysed by the FWF. This report examines the state of compliance with open access requirements on the basis of final project reports submitted in the year 2019.</p> <p>Main findings:</p> <p>-A total of 9.353 publications were listed in the final project reports submitted in 2019.</p> <p>-Of those publications, 7.326 were conclusively identified as peer-reviewed.</p> <p>-Regarding compliance with the FWF's Open Access Policy, the analysis shows that 89% of the peer-reviewed publications that are listed in the submitted final reports of FWF projects in 2019 are openly accessible (2015: 83%, 2016: 92%, 2017: 90%, 2018: 92%).</p> <p>-The most frequently chosen option is hybrid open access (40%). The share of old open access is 19%, the share of green open access 22% and other open access 8%.</p> <p>-The majority of peer-reviewed publications submitted are journal articles (91%), 91% of which are openly accessible.</p> <p>-The lowest rate of compliance with the FWF's Open Access Policy can be found in editions, contributions to edited volumes and monographs (42%).</p> <p>-Although open access is not compulsory for non peer-reviewed publications, 43% of those publications are freely available through the internet.</p> <p>-The absolute number of publications listed in final reports in 2019 includes 565 publications that are mentioned several times in different projects; however, those repetitions do not ultimately affect the relative share of open access publications (89%).</p> <p><strong>II. Bias</strong></p> <p>Half of the publications were entered in the FWF’s database manually and with utmost care when the final project reports were received. Nevertheless, it is not possible to rule out minor errors entirely. The other half has been submitted to the FWF via a research documentation system (provided by ©Researchfish) in which FWF-funded researchers are able to enter and update their research data on an ongoing basis. The last check of the open access status was performed in January 2020. In some cases, the embargo period may have already expired, and publications labelled other open access in the FWF’s database may now be accessible through green open access.</p> <p>Whenever the status "peer-reviewed" could not be clearly identified according to FWF guidelines, the publications were classified as non peer-reviewed.</p> <p>Openly available non peer-reviewed publications were entered as 'openly available'.</p> <p> </p>
Brazil STAR Project Microgrid Monitoring Data
<p>Contains monitoring data from microgrids deployed in rural areas of the State of Amazonas, Brazil. The data collections started in January of 2018 and ended in March 2019.</p> <p>Contained in the folder CSVs.zip are data from four housing units (denoted as STAR-A, STAR-B, STAR-C and STAR-D) consisting of:<br> 1) Battery information,<br> 2) Solar photovoltaic (PV) generation information, and<br> 3) Measurements from individual appliance monitors (IAMs).</p> <p>Folders are named in the format YYYY-MM-DD-STAR-X_SYS, where<br> 1) YYYY is the year,<br> 2) MM is the month,<br> 3) DD is the day,<br> 4) STAR-X is indicator for the housing unit, i.e., STAR-A, STAR-B, STAR-C, or STAR-D.<br> 5) SYS denotes the "system" and refers to one of the following: Battery, PV, or IAM.</p> <p>The files YYYY-MM-DD-STAR-X_Battery contain the following information in their columns in the order presented:<br> 1) Timestamp<br> 2) Battery current (mA)<br> 3) Ampere-hours (mAh)<br> 4) State of Charge (SOC) (%)<br> 5) Number of charge cycles<br> 6) Number of full discharges<br> 7) Battery voltage (mV)<br> 8) Battery power (W)<br> 9) Amount of discharge energy (0.01 kWh)<br> 10) Amount of charge energy (0.01 kWh)</p> <p>The files YYYY-MM-DD-STAR-X_PV contain the following information in their columns in the order presented:<br> 1) Timestamp<br> 2) Panel voltage (mV)<br> 3) Panel power (W)<br> 4) Energy generated (0.01 kWh)<br> 5) Battery state of operation: 0(Off); 1(Low power); 2(Fault); 3(Bulk); 4(Absorption); 5(Float); 6(Inverting)</p> <p>The files YYYY-MM-DD-STAR-X_IAM contain the following information in their columns in the order presented:<br> 1) Timestamp<br> 2) Real power (W)<br> 3) Reactive power (W)<br> 4) Voltage (unknown unit)<br> 5) IAM ID</p>
Data from: DNA metabarcoding for biodiversity monitoring in a national park: screening for invasive and pest species
<ol> <li><span>DNA metabarcoding was utilized for a large-scale, multi-year assessment of biodiversity in Malaise trap collections from the Bavarian Forest National Park (Germany, Bavaria). </span></li> <li><span>Principal Component Analysis of read count-based biodiversities revealed clustering in concordance with whether collection sites were located inside or outside of the National Park.</span></li> <li><span>Jaccard distance matrices of the presences of BINs at collection sites in the two survey years (2016 and 2018) were significantly correlated.</span></li> <li><span>Overall similar patterns in the presence of total arthropod BINs, as well as BINs belonging to four major arthropod orders across the study area, were observed in both survey years, and are also comparable with results of a previous study based on DNA barcoding of Sanger-sequenced specimens.</span></li> <li><span>A custom reference sequence library was assembled from publicly available data to screen for pest or invasive arthropods among the specimens or from the preservative ethanol.</span></li> <li> <span>A single 98.6% match to the invasive bark beetle </span><span>Ips duplicatus</span><span> was detected in an ethanol sample. This species has not previously been detected in the National Park.</span> </li> </ol>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.