Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
13,276
datasets available to search
ShareScore release 0.9.0
Dataset results
13,276 results for “IT management”
FIG. 2 in Animal Management, preparation and sacrifice: reconstructing burial 6 at the Moon Pyramid, Teotihuacan, México
FIG. 2. — Plan view drawing of Burial 6. Each dotted circle shows a grouping within the burial complex, these groupings are distributed in cardinal and intercardinal directions and at the center of the dedicatory cache. Abreviations: E, eagles; F, felids; C, canids. Burial Scale bar: 1 m.
Fig. 4 in Spatial genetic structure in the vulnerable smooth-coated otter (Lutrogale perspicillata, Mustelidae): towards an adaptive conservation management of the species
Fig. 4. Multidimensional Scaling (MDS) plot (stress: 0.0045) performed using average pairwise TN93 (Tamura & Nei, 1993) distances among investigated Lutrogale perspicillata groups created according to the country of origin of samples (modern + museum DNA and GenBank entries).
Fig. 3. A in Spatial genetic structure in the vulnerable smooth-coated otter (Lutrogale perspicillata, Mustelidae): towards an adaptive conservation management of the species
Fig. 3. A, Lutrogale perspicillata network computed using haplotypes (h) from the 305 bp-long sequence alignment (modern + museum DNA and GenBank entries). A scale to infer the number of sequences for each pie (i.e., haplotype) was provided together with a length bar to compute the number of mutational changes. The colour of each country and the number of each haplotype are indicated. See Table S1 for more details. B, Mismatch Distributions (MD) of the mtDNA pairwise differences (dotted: observed; line: expected) calculated for South East Asia haplogroup (Fig. 3A). Estimates of FS and R2 statistics (with related P values), r (raggedness index) and the outcome of SSD and SSD* test under a model (H0) of sudden demographic and spatial population expansion, respectively, are provided.
Fig. 2 in Spatial genetic structure in the vulnerable smooth-coated otter (Lutrogale perspicillata, Mustelidae): towards an adaptive conservation management of the species
Fig. 2. Photos of MNHN-ZM-MO-2001-350, L. p. perspicillata holotype resident in the mammal collection of the National Museum of Natural History of Paris, France. A, right side, lateral view (bar length = 20 cm); B, left forelimb, lateral view; C, basement, in French "Lutra perspicillata = Lutra leptonix Horsf., loutre de Java par m Diard, mai 1821, la tête est au lab d'anatomie", which can be translated into and interpreted as: "Lutra perspicillata = Lutra leptonix (Horsfield, 1824), Java otter from M. Diard, May 1821, skull is in the lab of anatomy" (see also Material and Methods). Photos courtesy and copyright: © MNHN - RECOLNAT - Laura Flamme - 2014.
Fig. 1 in Spatial genetic structure in the vulnerable smooth-coated otter (Lutrogale perspicillata, Mustelidae): towards an adaptive conservation management of the species
Fig. 1. Lutrogale perspicillata distribution (in yellow; see insets for Iraq and Pakistan) including sampling localities of modern (white circles) and museum (green squares) individuals. As far as the latter are concerned, we reported only sites for which samples were successfully investigated (see Table S1 for the entire sample size of this study; symbol "?" stands for unknown locality). The white stars indicate, in Iraq, the locality (TaqTaq, Kurdistan) where the sample of Omer et al. (2012) was collected, in Cambodia/Thailand and Malaysia, the country/ies of origin of EF472348 and KY117557 GenBank sequence, respectively. In Iraq, Pakistan, and supposedly Java, Indonesia, the green squares indicate localities (when known) of L. p. maxwelli, L. p. sindica, and L. p. perspicillata museum holotypes, respectively. Finally, Naga Hills at the border between Myanmar and India as well as Bahoo-Kalat River Basin between Iran and Pakistan are indicated (see text for more details). The species' geographic range was adapted from IUCN (International Union for Conservation of Nature) 2015. Lutrogale perspicillata. The IUCN Red List of Threatened Species 2019-3 was modified using CorelDraw!12 (2003). Digital images (insets) were obtained from Google Earth 7.1.5.1557 (2015 Google Inc.) and Google Earth map data (Data SIO, NOAA, U.S. Navy, NGA, GEBCO - Image Landsat). Please note that thick dotted lines mark out new borders for L. p. sindica and L. p. perspicillata subspecies as established in this study (see text for more details).
Fig. 2 in Microsatellite variation and population genetic structure of a neotropical endangered Bryconinae species Brycon insignis Steindachner, 1877: implications for its conservation and sustainable management
Fig. 2. UPGMA clustering of the Nei's genetic distance (1972) of the Brycon insignis sampling locations based on six microsatellite loci. Bootstrap values above 50% are shown above branches indicating percentage support in 5000 permutations. Power Company Hatchery (PCH), São João River (SJR), Paraíba do Sul River (PSR), Imbé River (IMR), Muriaé River (MUR) and Itabapoana River (ITR).
SURVEY ON INFORMED CONSENT (IC) MANAGEMENT DURING THE PANDEMIC
<p>Data obtained through a survey with representatives of different Spanish biobanks about the adaptations done by some of the biobanks of the Spanish Biobank Network to manage the Informed Consent process during the COVID-19 pandemic</p>
Anesthetic management of a case of pheochromocytoma using bioreactance method with Cheetah-NICOM monitor
<p><strong>Pheochromocytoma is a rare neoplasm originating from the chromaffin cells of the adrenal gland. The number of diagnosed and excised adrenal lesions has steadily increased over the last few decades. Contemporarily, improved monitoring systems and therapeutic advances have reduced mortality associated with this disease. During surgery the anesthesiologist must be ready to face sudden hemodynamic, metabolic and electrolyte fluctuations due to the release of catecholamines. In this Case Report, we describe a particularly complex anesthesiologic management of a large secretory lesion by using Cheetah Non-Invasive Cardiac Output Monitor (Cheetah-NICOM monitor), non-invasive hemodynamic monitoring system. A 72-year-old female patient was subjected to adrenalctomy after a diagnosis of an adrenal mass (5 cm) compatible with pheochromocytoma (highlighted by metanephrine dosage). Patient reports recurrent episodes of hypertensive crisis, sweating and precordial pain and was also affected by Type 2 diabetes mellitus. Adrenal surgery for pheochromocytoma results in a significant increase in heart rate and peripheral vascular resistance, which should therefore be monitored to guide the infusion of medicinal products. Although a preoperative preparation with Alpha and beta blockers was carried out, high doses of short-lived beta-blockers and alphalytic and vasodilator were required during the intervention. This case report shows that Cheetah-NICOM monitor allowed us to manage prompty and optimally the catecholaminergic storm and the volemic filling obtaining a rapid postoperative recovery.</strong></p>
Data and code for: Roost selection by male northern long-eared bats (Myotis septentrionalis) in a managed fire-adapted forest
<p>Data and code for: Roost selection by male northern long-eared bats (<em>Myotis septentrionalis</em>) in a managed fire-adapted forest</p>
Experimental Data of Edge Energy Management System (EEMS)
<p>Readme>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>><br> This data repository contains the experimental data of low-voltage and <br> industrial settings. Separate folders are provided for both data artefacts.</p> <p>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>></p> <p>Low Voltage Residential Settings >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>><br> Different sub-Folders are provided with respect to the different <br> combination of electrical load</p> <p>Each folder contains .txt file</p> <p>This File Contains Timestamp such that date and time are separated by "!".<br> After parsing time, Voltage and Current are separated by the "Current".<br> Then each voltage and current waveforms can be further parsed by "@@@"<br> because non-consecutive waveform signals are separated using this symbol in <br> project. Furthermore, the variable slab during data acquisition is provided <br> at the end of .txt file and can be parsed using the term "Const"</p> <p>This data parsing process is also provided in all phase calculation files.</p> <p>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>></p> <p>Industrial Islanded Power System >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>><br> This Folder contains the data acquired from 15 diesel gensets. Their <br> operational parameters are logged in MySQL database and are presented using<br> LAMP server. This MySQL data is provided as CSV file in this folder.</p> <p>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>></p> <p> </p>
Data for: Changes in evapotranspiration, transpiration and evaporation across natural and managed landscapes in the Amazon, Cerrado and Pantanal biomes
<p>This dataset contains measurements of evapotranspiration and other meteorological variables (net radiation, air temperature, vapor pressure deficit, etc) from nine eddy covariance towers located in different ecosystems in the Amazon (natural Amazon forest, cropland and pastureland), Cerrado (natural savannah, irrigated and rainfed croplands) and Pantanal (natural forest, pastureland) biomes. It also contains estimates of transpiration that were calculated using two different approaches, the transpiration estimation algorithm (TEA) and the underlying water use efficiency method (uWUE).</p>
Yield Prediction Through Integration of Genetic, Environment, and Management Data Through Deep Learning: Cleaned Data
<p>The included files and script are to allow for reconstruction of the data directory and cleaned data used in "Yield Prediction Through Integration of Genetic, Environment, and Management Data Through Deep Learning" ( https://doi.org/10.1101/2022.07.29.502051 ). Code used is available at 10.5281/zenodo.7401113 .</p> <table> <tbody> <tr> <th>Filename</th> <th>Description</th> </tr> <tr> <td>interim.tar.gz</td> <td>Contains site grouping dictonary</td> </tr> <tr> <td>processed.tar.gz</td> <td>Processed data</td> </tr> <tr> <td>raw.tar.gz</td> <td>Input data</td> </tr> <tr> <td>SetupInstructions.sh</td> <td>Bash script to prepare folders and unzipped data expected by code in 10.5281/zenodo.7401113</td> </tr> <tr> <td>SetupInstructions.txt</td> <td>Instructions for unzipping the data</td> </tr> <tr> <td>Train_Test_Split_Reference_Phenotypes.csv</td> <td>Reference spreadsheet to allow for easily exploring training and test set groupings</td> </tr> </tbody> </table> <ul> </ul> <p>This work was supported through funding from the USDA Agricultural Research Service, ARS project number 5070-21000-041-000-D. Raw data provided by the [Genomes to Field Initiative](https://www.genomes2fields.org/) and the [Daymet database](https://daymet.ornl.gov/).</p>
Master database for publication "Stakeholder engagement and knowledge co-production for better watershed management with the Freshwater Health Index"
<p> </p> <p>The spreadsheet is the master database used for the research with the title of "Stakeholder engagement and knowledge co-production for better watershed management with the Freshwater Health Index" to be published on <em>Current Research in Environmental Sustainability</em> in late 2022.</p> <p>The data include narratives for six principles on stakeholder engagement and knowledge co-production. These principles were derived by combining Talley et al’s five principles for effective stakeholder engagement (Talley et al. 2016) with Norström et al’s four principles for knowledge co-production (Norström et al. 2020). The six principles were aligned with the components of the freshwater health index (FHI) framework. Project leaders from nine FHI case studies completed a text table based on the description of the six principles and their FHI factors. This process generated the present master qualitative database with narrative responses. </p> <p>The socio-ecological context for each case study is provided for contextualization.</p>
New indicators of ecological resilience and invasion resistance to support prioritization and management in the sagebrush biome, United States
<p>Ecosystem transformations to altered or novel ecological states are accelerating across the globe. Indicators of ecological resilience to disturbance and resistance to invasion can aid in assessing risks and prioritizing areas for conservation and restoration. The sagebrush biome encompasses parts of 11 western states and is experiencing rapid transformations due to human population growth, invasive species, altered disturbance regimes, and climate change. We built on prior use of static soil moisture and temperature regimes to develop new, ecologically relevant and climate-responsive indicators of both resilience and resistance. Our new indicators were based on climate and soil water availability variables derived from process-based ecohydrological models that allow predictions of future conditions. We asked: (1) Which variables best indicate resilience and resistance? (2) What are the relationships among the indicator variables and resilience and resistance categories? (3) How do patterns of resilience and resistance vary across the area? We assembled a large database (n = 24,045) of vegetation sample plots from regional monitoring programs and derived multiple climate and soil water availability variables for each plot from ecohydrological simulations. We used USDA Natural Resources Conservation Service National Soils Survey Information, Ecological Site Descriptions, and expert knowledge to develop and assign ecological types and resilience and resistance categories to each plot. We used random forest models to derive a set of 19 climate and water availability variables that best predicted resilience and resistance categories. Our models had relatively high multiclass accuracy (80% for resilience; 75% for resistance). Top indicator variables for both resilience and resistance included mean temperature, coldest month temperature, climatic water deficit, and summer and driest month precipitation. Variable relationships and patterns differed among ecoregions but reflected environmental gradients; low resilience and resistance were indicated by warm and dry conditions with high climatic water deficits, and moderately high to high resilience and resistance were characterized by cooler and moister conditions with low climatic water deficits. The new, ecologically-relevant indicators provide information on the vulnerability of resources and likely success of management actions and can be used to develop new approaches and tools for prioritizing areas for conservation and restoration actions.</p>
Data from: Wind turbines in managed forests partially displace common birds
<p><span>Wind turbines are increasingly being installed in forests, which can lead to land use disputes between climate mitigation efforts and nature conservation. Environmental impact assessments precede the construction of wind turbines to ensure that wind turbines are installed only in managed or degraded forests that are of potentially low value for conservation. It is unknown, nevertheless, if animals deemed of minor relevance in environmental impact assessments are affected by wind turbines in managed forests. We investigated the impact of wind turbines on common forest birds, by counting birds </span><span>along an impact-gradient of wind turbines</span><span> in 24 temperate forests in Hesse, Germany. </span><span>During 860 point counts, we counted 2,231 birds from 45 species. Bird communities were strongly related to forest structure, season and the rotor diameter of wind turbines, but were not related to wind turbine distance. For instance, bird abundance decreased in structure-poor (-38%) and monocultural (-41%) forests with wind turbines, and in young (-36%) deciduous forests with larger and more wind turbines (-24%). Overall, our findings suggest that wind turbines in managed forests partially displace common forest birds. If these birds are displaced to harsh environments, wind turbines might indirectly contribute to a decline of their populations. Yet, forest bird communities are locally more sensitive to forest quality than to wind turbine presence. To prevent further displacement of forest animals, forests of lowest quality for wildlife should be preferred in spatial planning for wind turbines, for instance small and structure-poor monocultures along highways.</span></p>
Preparedness for Contingencies: A Systematic Review of the Factors that Influence the Crisis Resilience of Project Managers
<p>The goal of this review paper is to investigate factors that contribute to project managers' crisis resilience through a systematic review of the literature and bibliometric analysis using VOXviewer. Existing research on project management and resilience focuses on urban resilience, community resilience, organisational resilience, team resilience, individual resilience, resilience of critical infrastructure, and flood resilience. In the context of project managers, however, the factors that influence crisis resilience and preparedness remain unclear. Using the PRISMA framework for systematic literature, 55 peer-reviewed articles published between 1993 and 2022 that met our criteria were identified through a structured keyword search in the Scopus and WoS databases. The systematic review and bibliometric analysis reveal eight (8) clusters, which we further categorise into four determinants. This is the most important finding of this review. In the context of the roles of project managers, the results of a comparative analysis reveal four prominent factors for enhancing crisis resilience: 1. leadership (individual resilience, influence, team trust, emotional intelligence); 2. interpersonal skill (conflict management, persistence, crisis preparedness); 3. agility (proactiveness, coping capacity, and adaptive capacity); 4. risk management and vulnerability (perception, awareness) . These factors are essential for developing project managers who are less susceptible to future crises and disasters. This study has exhaustively characterised the possibilities and capacities of crisis resilience in terms of competency, integration, collaboration, and novelty; however, the search was restricted to a small number of databases and a short period of time, which could be explored in future research. According to the findings, most previous research on crisis resilience focused on emergency preparedness and was primarily conducted in Western and American studies. There is a lack of a holistic perspective on crisis resilience, which will be developed. We believe that international collaboration efforts to establish a platform for the exchange of knowledge between Western and American nations and ASEAN members are necessary</p>
A User Story Dataset for Library and Restaurant Management Systems
<p>A user story dataset generated by participants during user experiments with <a href="https://doi.org/10.5281/zenodo.7529090">SCOUT</a>. </p>
Data for: Population genomics and conservation management of the threatened black-footed tree-rat (Mesembriomys gouldii) in northern Australia
<p>Genomic diversity is a fundamental component of Earth's total biodiversity and requires explicit consideration in efforts to conserve biodiversity. To conserve genomic diversity, it is necessary to measure its spatial distribution and quantify the contribution that any intraspecific evolutionary lineages make to overall genomic diversity. Here, we describe the range-wide population genomic structure of a threatened Australian rodent, the black-footed tree-rat (<em>Mesembriomys</em> <em>gouldii</em>), aiming to provide insight into the timing and extent of population declines across a large region with a dearth of long-term monitoring data. By estimating recent trajectories in effective population sizes at four localities, we confirm widespread population decline across the species' range, but find that the population in the peri-urban area of the Darwin region has been more stable. Based on current sampling, the Melville Island population made the greatest contribution to overall allelic richness of the species, and the prioritisation analysis suggested that conservation of the Darwin and Cobourg Peninsula populations would be the most cost-effective scenario to retain more than 90% of all alleles. Our results broadly confirm current sub-specific taxonomy and provide crucial data on the spatial distribution of genomic diversity to help prioritise limited conservation resources. Along with additional sampling and genomic analysis from the far eastern and western edges of the black-footed tree-rat distribution, we suggest a range of conservation and research priorities that could help improve black-footed tree-rat population trajectories at large and fine spatial scales, including the retention and expansion of structurally complex habitat patches.</p>
Data from: Hurry Up and Wait: Managing the Inherent Mismatches in Timescales in Natural and Artificial Photosynthetic Systems
<p>Houle, Frances A.; Yano, Junko; Ager, Joel W.;<br> Hurry Up and Wait: Managing the Inherent Mismatches in Timescales in<br> Natural and Artificial Photosynthetic Systems</p> <p><strong>Files</strong><br> Supplementary data coupled reaction-transport and cascades.xlxs<br> Input parameters for Kinetiscope calculations and associated figure data</p> <p>CO2R microkinetic model-DRC.ipynb<br> CO2R microkinetic model-DRC.pdf<br> Jupyter notebook and pdf for degree of rate control in CO2 reduction<br> Packages used:<br> Python: 3.7.7<br> Numpy: 1.21.5<br> SciPy: 1.7.3<br> Matplotlib: 3.5.1</p> <p>Wang 2018 Pathway 1 only DRC.ipynb<br> Wang 2018 Pathway 1 only DRC.pdf<br> Jupyter notebook and pdf for degree of rate control photoelectrocatalytic water oxidation<br> Python: 3.7.7<br> Numpy: 1.21.5<br> SciPy: 1.7.3<br> mpmath: 1.2.1<br> Matplotlib: 3.5.1</p>
Data from: Vegetation management shapes arthropod and bird communities in an African savanna
<p>Habitat heterogeneity is a key driver of the diversity and distribution of species. African savannas are experiencing changes to their vegetation structure causing shifts towards increased woody plant cover, which results in vegetation structure homogenization. Given the impact that increasing woody plant cover has on patterns of animal use, resource managers across Africa are implementing habitat management practices that are intended to reduce woody plant cover. To understand the ecological implications of various habitat management practices on arthropod and bird communities, we leveraged large-scale tree clearing and subsequent mowing in an African savanna to understand how changes to both the herbaceous layer and woody plant cover (i.e., structural heterogeneity) may shape arthropod and bird communities at the local scale. We focused on four replicated treatments: 1) annual summer mow, 2) annual winter mow, 3) >5 years since last mow (rest), and 4) an adjacent unmanipulated savanna to act as a control. We found that the mowing treatments significantly influenced vegetation structure both with respect to tree density and herbaceous layer. Both arthropod and bird community composition varied across treatments. Grass biomass was the best predictor of arthropod richness and abundance, with arthropods selecting for areas with high biomass. Insectivorous bird richness and abundance was driven by tree density (i.e., perching locations) and not arthropod abundance. Our results suggest that vegetation management practices contribute to habitat heterogeneity at the landscape scale and increase bird species richness through species turnover. However, we caution that if a single vegetation management practice dominates the landscape, it is plausible that it could lead to the simplification of the avian community.</p>
ScienceDex guides
Understand access before you commit
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.