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Figure 1 in Trapping Pestiferous Fruit Flies (Diptera: Tephritidae): Additional Studies on the Performance of Solid Bactrocera Male Lures and Separate Insecticidal Strips Relative to Standard Liquid Lures

Figure 1. (A) CL plug contained in two face-to-face perforated baskets along with Plato strip (red object). (B) ME wafer with plastic basket holding DDVP strip affixed. Photos show the lures and DDVP strips only, and when deployed in the field, these were housed in Jackson traps.

Figure 3 in Trapping Pestiferous Fruit Flies (Diptera: Tephritidae): Additional Studies on the Performance of Solid Bactrocera Male Lures and Separate Insecticidal Strips Relative to Standard Liquid Lures

Figure 3. Captures of Bactrocera dorsalis males in traps baited with toxicants of variable age. Data for DDVP strips weathered in Arizona and Florida are given in top and bottom plots, respectively. While toxicant age varied among treatments, the lure was fresh (no weathering) in all treatments. All traps were baited with fresh liquid ME, except the Fresh DDVP treatment which employed a fresh ME wafer. Height of bar represents mean number of males captured per trap (n = 15 traps per treatment) in a 24-h period; error bars are + 1 SE. Significant variation existed among treatments for Arizona (F = 3.7, P = 0.02) but not for Florida (H = 1.8, P = 0.61); bars sharing a letter did not differ significantly (P> 0.05).

Figure 2 in Trapping Pestiferous Fruit Flies (Diptera: Tephritidae): Additional Studies on the Performance of Solid Bactrocera Male Lures and Separate Insecticidal Strips Relative to Standard Liquid Lures

Figure 2. Captures of Bactrocera dorsalis males in traps baited with ME lures of variable age. Data for wafers weathered in Arizona and Florida are given in top and bottom plots, respectively. While lure age varied among treatments, the toxicant was fresh (no weathering) in all treatments. Liquid was applied to a cotton wick; in all other cases ME was presented in a polymeric wafer. Height of bar represents mean number of males captured per trap (n = 15 traps per treatment) in a 24-h period; error bars are + 1 SE. Significant variation existed among treatments for both Arizona (F = 10.5, P <0.001) and Florida (F = 11.0, P <0.001); bars sharing a letter did not differ significantly (P> 0.05).

Figure 4 in Trapping Pestiferous Fruit Flies (Diptera: Tephritidae): Additional Studies on the Performance of Solid Bactrocera Male Lures and Separate Insecticidal Strips Relative to Standard Liquid Lures

Figure 4. Captures of Bactrocera cucurbitae males in traps baited with CL lures of variable age. Data for CL plugs weathered in Arizona and Florida are given in top and bottom plots, respectively. While lure age varied among treatments, the toxicant was fresh (no weathering) in all treatments. Liquid was applied to a cotton wick; in all other cases CL was presented in a polymeric plug. Height of bar represents mean number of males captured per trap (n = 15 traps per treatment) in a 24-h period; error bars are + 1 SE. No significant variation existed among treatments for either Arizona (F = 0.5, P = 0.65) or Florida (F = 1.9, P = 0.15). Bars sharing a letter did not differ significantly (P> 0.05).

opencc-by-4.0Aug 2023View details →

Standardized comparison of different versions of the DUFSS questionnaire using the EMPRO tool.

Dataset corresponding to the evaluations of the different versions of the DUFSS questionnaire using the EMPRO tool.

opencc-by-4.0Aug 2023View details →

Standard Error Estimates from ARRI ensemble GAM model outputs

Summary (Purpose) Basal area per acre (BAA) standard error estimate (SEE) for all trees, pine trees, and non-pine trees across three diameter at breast height (DBH) size classes, 2- to 10-inch, 10- to 14-inch, and 14+ inch. Models were informed by relative density rasters from 2018 Light Detection and Ranging (lidar) point clouds. Description The GAM_SEE_rasters are modelled basal area per acre standard error estimate single band rasters. The units for the rasters’ are square foot per acre. Rasters are divided into three tree species groups: 'All' trees, 'Pine' trees (defined as trees of the genus Pinus), and 'No-Pine' trees, and three size classes: LT 10 for trees with DBH between 2- and 10-inches, 10-14 for trees with DBH between 10- and 14- inch DBH, and GT 14 for trees with DBH greater than 14-inches. Ensemble generalized additive models (GAM) of estimated tree basal area per DBH class were created from Restore field plots and relative density canopy cover rasters, or RDCC (St. Peter, et al., 2023). This ensemble GAM model was created using the R script detailed in Hogland, 2021. The parameters used were 0.75 for the percent of data used to train the model (selected using random sampling with replacement), 50 models, and using gaussian family. The estimated BAA for each of the 50 ensemble GAM models for each cell were averaged (mean) to produce the GAM estimate, additionally the variability between these estimates was used to create the standard error estimate (SEE) for each cell.     The 246 Restore field plots used to train the GAM model of basal area include measurements of all trees within four non-overlapping 9m radius circular subplots within a 36m square plot. Tree diameter at breast height (DBH), species, count, and condition measurements were recorded. Measurements were summarized to the plot and DBH (square inches) was converted to basal area per acre (square feet per acre) using the formula 0.005454 * DBH^2. Restore field plots were measured in the Spring of 2018. The RDCC metrics are 5m resolution multiband rasters produced by applying a custom r software function that uses the r software’s ‘lidR’ package to produce forest metrics summarized from Light Imaging Detection and Ranging (LiDAR) point clouds. ARSA LiDAR is a combination of three collections, Block 2 and 3 were collected in early 2018 and has a NPS of 0.7-m using a Riegl VQ-1560i lidar system. Leon county LiDAR data has a nominal pulse spacing (NPS) of 0.35-m and was acquired between February 05, 2018 and April 25, 2018 using the Leica ALS80 HP SN8137 and SN8235 lidar systems.  Choctawhatchee data was acquired in early 2017, using the Riegl LMS-Q1560 lidar system and has a NPS of 0.7-m. Rasters were generated in their vendor provided spatial projection before being reprojected to UTM Zone 16.   The 5m resolution RDCC bands were summarized to 40x40m to correspond with the area of our plots and used as predictor variables in the models of all trees basal area. Each 5m pixel value represents the estimated standard error of the basal area per acre estimate as if it was the center of a 40x40m (8x8 cells) plot surrounding that pixel.     Reference: Hogland, J. (2021). Ensemble Generalized Additive Models (EGAM). Retrieved from Jupyter Notebook: <a href="https://colab.research.google.com/drive/1GnRagruTUCoPJQZSkZ2vMKS9aAKgnhEw?usp=sharing">https://colab.research.google.com/drive/1GnRagruTUCoPJQZSkZ2vMKS9aAKgnhEw?usp=sharing</a> St. Peter, Joseph, Drake, Jason, Medley, Paul, & Ibeanusi, Victor. (2023). Relative Density Canopy Cover Outputs for Leon Lidar data in the Florida Panhandle 2018 [Data set]. In Remote Sensing (Vol. 13, Number 23, p. 4763). Zenodo. https://doi.org/10.5281/zenodo.8222114 Credits This dataset was built by Joseph St. Peter of FAMU’s Center for Spatial Ecology and Restoration using 2018 LiDAR data funded by Leon County, Northwest Florida Water Management District, US Geological Survey and the USDA Forest Service and processed using the r package lidR. Restore plots were funded by the Gulf Coast Ecosystem Restoration Council (RESTORE Council) through an interagency agreement with the USDA Forest Service (17-IA-11083150-001) for the Apalachicola Tate’s Hell Strategy 1 project. Use Limitations This spatial data is based on various data collection and processing techniques as well as on modeling or interpretation. While this data uses the most current and complete information available at the time of production, spatial data and derivative products may vary in accuracy. Spatial data are often developed from sources of differing accuracy which may be accurate only at certain scales. This data has been quality checked but may contain spurious errors or be incomplete or inappropriate for certain uses. Spatial data products used for purposes other than those for which they were created, may yield inaccurate or misleading results. The USDA Forest Service, Florida A&M University, and the Center for Spatial Ecology & Restoration (CSER) reserves the right to correct, update, modify, remove or replace GIS products at any time and without notification. This data may not be distributed without written permission from the Center for Spatial Ecology & Restoration (CSER) at Florida A&M University, and/or the USDA Forest Service.

opencc-by-4.0Sep 2023View details →

circAtlas 3.0: a gateway to 3 million curated vertebrate circular RNAs through a standardized nomenclature scheme

Data and code for the manuscript "circAtlas 3.0: a gateway to 3 million curated vertebrate circular RNAs through a standardized nomenclature scheme"

opencc-by-4.0May 2023View details →

Microsatellite data of the paper "A putatively new ant species from the Cataglyphis cursor group displays low levels of polyandry with standard sexual reproduction"

Fifty colonies of the ant Cataglyphis cursor were sampled at their nest entrance in two localities separated by 79km in the plain of Avila, west of Madrid, in July 2015 for Salobralejo (27 colonies) and in April 2014 for Castrillo de Guareña (23 colonies). Only workers near the nest entrance were collected. In Salobralejo, we also collected nine gynes at the nest entrance in three colonies. After collection, the individuals were preserved in 95% Ethanol (with 5% Tris-EDTA). From the 50 colonies sampled, we genotyped a single worker per colony for 37 colonies (Table S1). For the other 13 colonies, 114 workers were collected and genotyped to assess the colony genetic structure (86 workers from nine colonies in Salobralejo and 28 workers from four colonies in Castrillo). We also genotyped the nine gynes found in three colonies in Salobralejo. A total of 160 individuals were screened for thirteen microsatellite loci used by Eyer et al. (2023) and two supplementary loci (L76 and L3653) were amplified. The L26 locus was excluded because of amplification failures in nine individuals (18% of samples) and a highly significant Hardy-Weinberg disequilibrium (P < 00001 for both sites).  The file contain the locality (Salobralejo or Castrillo), the colony number and individual identification number (code), the caste (worker or gyne). For each locus, the two alleles are provided and characterised by their size.

opencc-by-4.0Jul 2023View details →

Standard heat stress indices may not be appropriate for assessing marathons

Code and data supporting the manuscript "Standard heat stress indices may not be appropriate for assessing marathons". These scripts rely on some of the data being present in a certain location. But to reproduce this based on the included data, you need only run pet_calculations.py as all the data area in comrades.nc The order in which the scripts were run was: 1. get_utci.py - downloads ERA5-HEAT data 2. unzip_era5_heat.sh - unzips that data 3. query.py - subsets ERA5-HEAT data, and ERA5 data from CEDA 4. pet_calculations.py - calculations and analysis pet_calculations.ipynb shows the results of pet_calculations.py in notebook form.

opencc-by-4.0Sep 2023View details →

Stakeholders Access to Data - Standardized Schema

The schema helps to streamline and enhance the understanding of access regimes while facilitating the creation of a machine-readable version for easier automation or embedding into software. By adopting this schema, the authors aim to provide a practical solution for enhancing data access and reuse while improving transparency and accountability in the process.

opencc-by-4.0Mar 2023View details →

MEDDOPLACE Corpus: Gold Standard annotations for Medical Documents Place-related Content Extraction

MEDDOPLACE stands for MEDical DOcument PLAce-related Content Extraction. It is a shared task and set of resources focused on the detection, normalization (entity linking/toponym resolution) and classification of different kinds of places, as well as related types of information such as clinical departments, nationalities or patient movements, in medical documents in Spanish. This repository includes the corpus' train and test sets in multiple formats, as well as the SNOMED gazetteer, cross-mapping between SNOMED and MeSH and the multilingual silver standard in 8 languages (Catalan, English, French, Italian, Dutch, Portuguese, Romanian and Swedish). For more information, please check the attached README file. MEDDOPLACE was developed by the Barcelona Supercomputing Center's NLP for Biomedical Information Analysis and used as part of IberLEF 2023. For more information on the corpus, annotation scheme and task in general, please visit: <a href="https://temu.bsc.es/meddoplace">https://temu.bsc.es/meddoplace</a>.   Please cite if you use this resource: Salvador Lima-López, Eulàlia Farré-Maduell, Antonio Miranda-Escalada, Vicent Brivá-Iglesias and Martin Krallinger. NLP applied to occupational health: MEDDOPROF shared task at IberLEF 2021 on automatic recognition, classification and normalization of professions and occupations from medical texts. In Procesamiento del Lenguaje Natural, 67. 2021. <pre><code>@article{meddoplace, title={MEDDOPLACE Shared Task overview: recognition, normalization and classification of locations and patient movement in clinical texts}, author={Lima-López, Salvador and Farré-Maduell, Eulàlia and Brivá-Iglesias, Vicent and Gasco-Sanchez, Luis and Krallinger, Martin}, journal = {Procesamiento del Lenguaje Natural}, volume = {71}, year={2023}, issn = {1135-5948}, DOI = {10.26342/2023-71-23}, url = {http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6561/3961}, pages = {301--311} }</code></pre> Related Links: - MEDDOPLACE website: <a href="https://temu.bsc.es/meddoplace">https://temu.bsc.es/meddoplace</a> - MEDDOPLACE overview paper: <a href="http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6561">http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6561</a> - Annotation Guidelines (Spanish): <a href="https://doi.org/10.5281/zenodo.7775234">https://doi.org/10.5281/zenodo.7775234</a> - Annotation Guidelines (English): <a href="https://doi.org/10.5281/zenodo.7928145">https://doi.org/10.5281/zenodo.7928145</a> License This work is licensed under a <a href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>. Contact If you have any questions or suggestions, please contact us at: - Salvador Lima-López (<salvador [dot] limalopez [at] gmail [dot] com>) - Martin Krallinger (<krallinger [dot] martin [at] gmail [dot] com>)

opencc-by-4.0Sep 2023View details →

Order Management Object-centric Event Log in OCEL 2.0 Standard

General Description This process describes the management of customer orders within a company, comprising both the registration and payment of incoming orders, as well as the process of packing and shipping these orders. For these tasks, our company deploys staff in their sales, warehousing, and shipment departments. This is an artificial event log according to the <a href="https://www.ocel-standard.org/">OCEL 2.0 Standard</a> simulated using CPN-Tools. Both the CPN and the SQLite can be downloaded. The simulation is an extension of the <a href="https://www.ocel-standard.org/beta/event-logs/simulations/legacy-logs">order management log</a> in the former OCEL standard. Process Overview At our company, customers place orders (place order) for different products in varying amounts. Each product type has a price and a weight. In the current market situation, there is an inflation that irregularly leads to an increase of prices. These price rises have a negative impact on customers’ purchasing power, i.e., on order volumes. When a customer places an order, this order is assigned to an employee of our company’s sales department. To foster customer satisfaction, our company has a single-face-to-customer policy. This means that per customer there is one primary sales representative who ought to render all services related to that customer. If that first representative is unavailable, a second sales representative should take care of the order. Should this employee be also unavailable, the order has to be managed by another employee. The tasks of sales employees comprise the registration (confirm order) as well as payment processing (payment reminder, pay order). In parallel to this, the shipment of goods is prepared. For this, the stock of our company is checked by an employee of the warehousing department for the availability of the ordered items. If necessary, the warehouser reorders the item (item out of stock, reorder item). Items ready for shipment are collected (pick item) for the placement into packages that are addressed to single customers. Here, it may happen that a package content relates to multiple orders, and order volumes are distributed over multiple packages. After all items allocated to a package have been picked, the package is compiled by a warehousing employee (create package). Later on, this package is picked up by a shipment employee for transport (send package). According to another policy, a warehousing employee should provide assistance to the shipment employee in loading the package. However, oftentimes shippers act contrary to that policy and load packages alone or together with a second shipment employee. Finally, the package is shipped. Deliveries may fail repeatedly (failed delivery) until successful delivery (package delivered). The figure below depicts the process in a simplified manner, using an informal process notation to describe the control-flow and the involved object types. A formal description is given along with the artifacts in the next section. Further information can be found at: <a href="https://www.ocel-standard.org/event-logs/simulations/order-management/">https://www.ocel-standard.org/event-logs/simulations/order-management/</a> General Properties  An overview of log properties is given below. <table> <thead> <tr> <th>Property</th> <th>Value</th> </tr> </thead> <tbody> <tr> <td>Event Types</td> <td>11</td> </tr> <tr> <td>Object Types</td> <td>6</td> </tr> <tr> <td>Events</td> <td>21008</td> </tr> <tr> <td>Objects</td> <td>10840</td> </tr> </tbody> </table> Control-Flow Behavior  The behavior of the log is described by a <a href="https://www.ocel-standard.org/beta/event-logs/simulations/logistics/images/full-ocpn.svg">respective object-centric Petri net</a>. Also, individual object types exhibit behavior that can be described by simpler Petri nets. See below. <table> <thead> </thead> <tbody> <tr> <td><a href="https://www.ocel-standard.org/beta/event-logs/simulations/order-management/images/orders-ocpn.svg">orders</a></td> <td><a href="https://www.ocel-standard.org/beta/event-logs/simulations/order-management/images/customers-ocpn.svg">customers</a></td> </tr> <tr> <td><a href="https://www.ocel-standard.org/beta/event-logs/simulations/order-management/images/items-ocpn.svg">items</a></td> <td><a href="https://www.ocel-standard.org/beta/event-logs/simulations/order-management/images/employees-ocpn.svg">employees</a></td> </tr> <tr> <td><a href="https://www.ocel-standard.org/beta/event-logs/simulations/order-management/images/packages-ocpn.svg">packages</a></td> <td><a href="https://www.ocel-standard.org/beta/event-logs/simulations/order-management/images/products-ocpn.svg">products</a></td> </tr> <tr> <td><a href="https://www.ocel-standard.org/beta/event-logs/simulations/order-management/images/full-ocpn.svg">Full object-centric Petri net</a></td> </tr> </tbody> </table> Object Relationships  The company pursues the "one-face-to-the-customer" policy, in which every customer has a dedicated sales representative as well as a deputy (secondary representative). These relationships are described in the log. <table> <thead> <tr> <th>Source Object Type</th> <th>Target Object Type</th> <th>Qualifier</th> </tr> </thead> <tbody> <tr> <td>employees</td> <td>customers</td> <td>primarySalesRep</td> </tr> <tr> <td>employees</td> <td>customers</td> <td>secondarySalesRep</td> </tr> </tbody> </table> Additionally, object-to-object relations can emerge at executions of specific activities: <table> <thead> <tr> <th>Activity</th> <th>Source Object Type</th> <th>Target Object Type</th> <th>Qualifier</th> </tr> </thead> <tbody> <tr> <td>create package</td> <td>package</td> <td>employee</td> <td>packed by</td> </tr> <tr> <td>send package</td> <td>package</td> <td>employee</td> <td>forwarded by</td> </tr> <tr> <td>send package</td> <td>package</td> <td>employee</td> <td>shipped by</td> </tr> </tbody> </table> Simulation Model  The CPN used to create this event log can also be downloaded.To obtain simulated data, extract the linked ZIP file and play out the CPN therein, e.g., by using <a href="https://cpntools.org/">CPN Tools</a>. The play-out produces CSV files according to the schema of OCEL2.0. The provided jupyter notebook can be used to convert these files to an SQLite dump. For a technical documentation of the simulation model, please open the attached CPN with CPN Tools and see the annotations therein. Acknowledgements Funded under the Excellence Strategy of the Federal Government and the Länder. We also thank the Alexander von Humboldt (AvH) Stiftung for supporting our research.

opencc-by-4.0Apr 2016View details →

Figure 1 in Length-weight, length-length and a proposed empirical standard weight equations for the Italian endemic cyprinid species Sarmarutilus rubilio

Figure 1. - Area of distribution of Sarmarutilus rubilio (in grey) (from IUCN, 2013 modified) and localization of sampling stations (black points).

Hepatitis C Treatment in PWIDs: MAT or Syringe Exchange Assisted-therapy vs Standard of Care

ClinicalTrials.gov study NCT03093415. IPD Sharing: YES. Countries: 1. Publications: 7.

Study to Evaluate the Effectiveness of a High-Dose Quadrivalent Influenza Vaccine (QIV-HD) Compared to a Standard-Dose Quadrivalent Influenza Vaccine (QIV-SD) in Adults 65 Years of Age and Older

ClinicalTrials.gov study NCT04137887. IPD Sharing: YES. Countries: 1. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →

Study of Efficacy and Safety of QAW039 in Patients With Severe Asthma Inadequately Controlled With Standard of Care Asthma Treatment.

ClinicalTrials.gov study NCT02563067. IPD Sharing: UNDECIDED. Countries: 19. Publications: 1.

Personalized Trials for Stress Management Against Standard of Care

ClinicalTrials.gov study NCT05408832. IPD Sharing: YES. Countries: 1. Publications: 1.

Study to Assess the Safety and Efficacy of Midostaurin (PKC412) in Combination With Standard Chemotherapy During Induction and Consolidation Followed by 12 Months of Maintenance Monotherapy in Patient

ClinicalTrials.gov study NCT03379727. IPD Sharing: YES. Countries: 15. Publications: 1.

Study of Safety of QAW039 in Patients With Asthma Inadequately Controlled on Standard-of-care Asthma Treatment

ClinicalTrials.gov study NCT03052517. IPD Sharing: YES. Countries: 42. Publications: 1.

Global Study to Assess the Safety and Effectiveness of Edoxaban (DU-176b) vs Standard Practice of Dosing With Warfarin in Patients With Atrial Fibrillation

ClinicalTrials.gov study NCT00781391. IPD Sharing: YES. Countries: 46. Publications: 35.