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opencc-by-4.0Oct 2021View details →

Vegetation Stratum Occupancy Prediction from Airborne LiDAR 3D Point Clouds

Our proposed dataset comprises 199 cylindrical plots of 10 m radius corresponding to typical pasture land parcels in South-Eastern France. Each plot contains between 3000 and 17000 3D points, and each point is attributed with a total of 10 features: (i) absolute 3D coordinates, (ii) RGB and Near-InfraRed reflectance obtained with aerial cameras, (iii) uncalibrated laser intensity, return number and number of returns provided by the aerial LiDAR. This dataset can be used as training data for our model deep learning model "Vegetation Stratum Occupancy Prediction from Airborne LiDAR 3D Point Clouds" available on <a href="https://github.com/ekalinicheva/plot_vegetation_coverage">https://github.com/ekalinicheva/plot_vegetation_coverage</a>

opencc-zeroDec 2021View details →

Data for: Occupancy–detection models with museum specimen data: Promise and pitfalls

Historical museum records provide potentially useful data for identifying drivers of change in species occupancy. However, because museum records are typically obtained via many collection methods, methodological developments are needed in order to enable robust inferences. Occupancy-detection models, a relatively new and powerful suite of statistical methods, are a potentially promising avenue because they can account for changes in collection effort through space and time. We use simulated datasets to identify how and when patterns in data and/or modelling decisions can bias inference. We focus primarily on the consequences of contrasting methodological approaches for dealing with species' ranges and inferring species' non-detections in both space and time. We find that not all datasets are suitable for occupancy-detection analysis but, under the right conditions (namely, datasets that are broken into more time periods for occupancy inference and that contain a high fraction of community-wide collections, or collection events that focus on communities of organisms), models can accurately estimate trends. Finally, we present a case-study on eastern North American odonates where we calculate long-term trends of occupancy by using our most robust workflow. These results indicate that occupancy-detection models are a suitable framework for some research cases and expand the suite of available tools for macroecological analysis available to researchers, especially where structured datasets are unavailable.

opencc-by-4.0Apr 2023View details →

Species detection histories used in Killion et al. (2023): Integrating Spaceborne Estimates of Structural Diversity of Habitat into Wildlife Occupancy Models

Camera trap species detection histories used for occupancy models in "Integrating Spaceborne Estimates of Structural Diversity of Habitat into Wildlife Occupancy Models".

opencc-zeroApr 2023View details →

Data from: N-dimensional hypervolumes in trait-based ecology: does occupancy rate matter?

Many methods for estimating functional diversity of biological communities rely on measuring geometrical properties of n-dimensional hypervolumes in a trait space. To date, these properties are calculated from individual hypervolumes or from their pairwise combinations. Our capacity to detect functional diversity patterns due to the overlap of multiple hypervolumes is thus limited. Here, we propose a new approach for estimating functional diversity from a set of hypervolumes. We rely on the concept of occupancy rate, defined as the mean or absolute number of hypervolumes enclosing a given point in the trait space. Furthermore, we describe a permutation test to identify regions of the trait space in which the occupancy rate of two sets of hypervolumes differs. We illustrate the utility of our approach over existing methods with two examples on aquatic macroinvertebrates. The first example shows how occupancy rate relates to the stability of trait space utilisation due to increased flow intermittency and allows the identification of taxa in regions of the trait space with low occupancy rates. The second example shows how the permutation test based on occupancy rates can detect differences in trait space utilisation due to river morphology variation even with a high degree of overlap among input hypervolumes. Our newly developed approach is particularly suitable in functional diversity analysis when investigating patterns of overlap among multiple hypervolumes. We thus emphasise the need to consider analyses based on occupancy rate into functional diversity estimation.

Asp138 orientation correlates with ligand subsite occupancy.

This directory contains all files required to plot Asp138 orientation against ligand subsite occupancy across all mouse AMCase structures presented in Figure 3 of <a href="https://www.biorxiv.org/content/10.1101/2023.06.03.542675">Díaz et al. (2023)</a>. Data was analyzed using Graphpad Prism. Figures were compiled using Adobe Illustrator.   Figures - contains PDFs of the occupancy at sugar-binding subsite across all mouse AMCase models presented in Díaz et al., (2023).   Occupancy.pzfx  - contains raw data and plots of ligand occupancy, and Asp138 active conformation occupancy.   Contact: Roberto Efraín Díaz, robertoefrain.diaz@ucsf.edu James Fraser, jfraser@fraserlab.com

Investigating PhDs' early career occupational outcomes in Italy: individual motivations, role of supervisor and gender differences (Anonymized UniTo dataset)

Anonymized dataset to replicate the UniTo analysis in Carriero et al. (2023). If you use the data, please cite: Carriero, R., Coda Zabetta, M., Geuna, A., & Tomatis, F. (2023). Investigating PhDs’ early career occupational outcomes in Italy: Individual motivations, role of supervisor and gender differences. Higher Education. (<a href="https://doi.org/10.1007/s10734-023-01068-y">https://doi.org/10.1007/s10734-023-01068-y</a>)

Probono - Systematic Review - Energy-related behaviours of building occupants.

This database covers the relevant literature on energy-related behaviours of building occupants, based on a systematic interrogation of existing research from 2018-2022. Data is collected and presented on the study location, research method, building type and type of occupants, occcupants behaviour, etc. This dababase allows for investigating where occupant behaviours are likely to be most prevalent and targetable for future research in Probono.

opencc-by-4.0Jan 2023View details →

D. viride occupancy in Compiegne forest at two spatial scales with temporal survey at fine scale, used in Percel et al. study

This repository contains two datasets in text format, to be imported in codes related to Percel et al. study of D. viride colonization process within Compiegne forest. The dataset "Data_Dviride.2017_AVCHESS_d14.txt" contains the data regarding the occupancy turnover between two surveys in three stands of the forest. The dataset "Data_Dviride.2018_foret.txt" contains the data regarding the coarse grained spatial distribution of D. viride at the forest scale. This repository also contains a basic script used to compute statistics reported in Table 1 of Percel et al. article.

opencc-zeroJul 2023View details →

Data for: Considerations for fitting occupancy models to data from eBird and similar volunteer-collected data

An occupancy model makes use of data that are structured as sets of repeated visits to each of many sites, in order estimate the actual probability of occupancy (i.e., proportion of occupied sites) after correcting for imperfect detection using the information contained in the sets of repeated observations. We explore the conditions under which preexisting, volunteer-collected data from the citizen science project eBird can be used for fitting occupancy models. The data archived here are used to explore two ways in which the single-visit records could be used in occupancy models. First, we use empirical data contained within this archive to assess the potential for space-for-time substitution: aggregating single-visit records from different locations within a region into pseudo-repeat visits. The archived data are used to illustrate that the locations chosen for data collection by observers were not always representative of the habitat in the surrounding area, which would lead to biased estimates of occupancy probabilities when using space-for-time substitution. Second, create a large set of simulated data (output from the simulations contained in this archive) that we used to explore the utility of including data from single-visit records to supplement sets of repeated-visit data.

opencc-by-4.0Aug 2023View details →

Loss of socioemotional and occupational roles in people with Long COVID according to sociodemographic and clinical factors: Secondary data from Randomized Clinical Trial.

This is a cross-sectional study was carried out with the participation of 100 patients diagnosed with Long-COVID, over 18 years of age and attended by Primary Health Care in the Autonomous Community of Aragon. The purpose of this study is to analyse the loss of socioemotional and occupational roles that people with Long COVID have suffered in their lives as a consequence of the disease. As a secondary objective, it was proposed to analyze the sociodemographic and clinical factors associated with this loss of roles. The main study variable was the loss of significant socioemotional and occupational roles of the participants. Sociodemographic and clinical data were also collected through a structured interview.

Site occupancy of Dasypus novemcinctus (Mammalia, Cingulata) and daily activity of four armadillo species in the Uruguayan Savanna and southern Atlantic Forest

Datasets and R code for the research article "Site occupancy of Dasypus novemcinctus (Mammalia, Cingulata) and daily activity of four armadillo species in the Uruguayan Savanna and southern Atlantic Forest", published in Mammalian Biology. <a href="https://doi.org/10.1007/s42991-023-00366-3">https://doi.org/10.1007/s42991-023-00366-3</a>

opencc-by-4.0Dec 2022View details →

Occupational exposure dataset for TiO2, carbon black and TiO2 and Ag;X

The size-resolved emission rate distributions of the nanomaterials supported by occupational exposure web application (<a href="https://aerosol.cloud.nanosolveit.eu/">https://aerosol.cloud.nanosolveit.eu/</a>) hosted on NanoSolveIT Cloud Platform.  distributions are based on experimental data from: A. J. Koivisto, T. Hussein, R. Niemelä, T. Tuomi and K. Hämeri, Impact of particle emissions of new laser printers on modeled office room, Atmos. Environ., 2010, 44(17), 2140–2146. V. Gomez, M. Levin, A. T. Saber, S. Irusta, M. Dal Maso and R. Hanoi, et al., Comparison of Dust Release from Epoxy and Paint Nanocomposites and Conventional Products during Sanding and Sawing, Ann. Occup. Hyg., 2014, 58(8), 983–994. A. J. Koivisto, A. C. Ø. Jensen, K. I. Kling, J. Kling, H. C. Budtz and I. K. Koponen, et al., Particle emission rates during electrostatic spray deposition of TiO2 nanoparticlebased photoactive coating, J. Hazard. Mater., 2018, 341, 218–227. 1 A. J. Koivisto, K. I. Kling, A. S. Fonseca, A. B. Bluhme, M. Moreman and M. Yu, et al., Dip coating of air purifier ceramic honeycombs with photocatalytic TiO2 nanoparticles: A case study for occupational exposure, Sci. Total Environ., 2018, 630, 1283–1291. Details for the usage of the database can be found in: P. Tsiros, N. Cheimarios, A. Tsoumanis, A.C.O. Jensen, G. Melagraki, I. Lynch, H. Sarimveis, A. Afantitis, “Towards an in silico Integrated Approach for Testing and Assessment of nanomaterials: from predicted indoor air concentrations to lung dose and biodistribution”, Environmental Science: Nano, 9, 1282, (2022). https://pubs.rsc.org/en/content/articlelanding/2022/en/d1en00956g

opencc-by-4.0Sep 2023View details →

PoqueiraOccupancy: Dataset and metrics from occupancy sensors of urban areas and establishments in the region of Barranco del Poqueira in the Alpujarra Granadina

This dataset is linked to the analysis of different aspects related to the conservation of the Sierra Nevada National Park through advanced digital systems. The devices have been deployed in the municipalities of Pampaneira and Capileira in the Alpujarra region of the province of Granada. The data is collected by 11 BOSCH fixed cameras 11.00 387.4900 Interior IR 5.3 MP and 4 TURRET type cameras Interior IR Lens 2.8 mm 5.3 MP 100º H.265 multi-streaming (H.265; H.264; M-JPEG). The devices have been installed as follows: 3 devices have been placed in establishments in Capileira, 8 in establishments in Pampaneira, and 4 in urban passage areas in the municipality of Pampaneira. All devices are capable of measuring the entry and exit to the establishment or area they are designated for. In some cases, there is also a metric which measures the number of people present within that area. The information related to the establishments has been anonymized to ensure the privacy of the collaborating companies in the project and the flow of customers during the studied period. The data attached in the CSV files DATA_OCCUPANCY_2022 and DATA_OCCUPANCY_2023 contain information about individuals detected by the cameras in the years 2022 (from February to December) and 2023 (from January to August). The calculation of the number of people is done cumulatively in hourly intervals. The collected variables include: <ul> <li> device_ID: The name of the device recording the value. </li> <li> type: The metric measuring the recording, which can be ENTRADA (entry), SALIDA (exit), or AFORO (occupancy). </li> <li> date: The date and time at which the cumulative people count is recorded for the specific metric. </li> <li> counter: The number of people counted for a specific metric in that time period. </li> </ul>

ClinicalTrials.gov40/100

Physical Therapy and Occupational Therapy After Transcatheter Aortic Valve Replacement

ClinicalTrials.gov study NCT03117296. IPD Sharing: NO. Countries: 1. Publications: 3.

closedIPD-NOFeb 2026View details →

ClinicalTrials.gov40/100

A Study With [18F]MNI-1054 to Determine Lysine -Specific Demethylase 1A (LSD1) Brain Enzyme Occupancy of TAK-418 After Single-Dose Oral Administration in Healthy Participants

ClinicalTrials.gov study NCT04202497. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →