Find research datasets worth reusing

opencc-by-4.0Dec 2012View details →

Fig. 6 in Effect of abiotic variables on fish eggs and larvae distribution in headwaters of Cuiabá River, Mato Grosso State, Brazil

Fig. 6. Temporal (a) and spatial (b) frequency of occurrence of the seven most abundant taxa of fish larvae captured in the headwaters of the Cuiabá River between November 2007 and March 2008.

opencc-by-4.0Dec 2012View details →

Fig. 2 in Effect of abiotic variables on fish eggs and larvae distribution in headwaters of Cuiabá River, Mato Grosso State, Brazil

Fig. 2. Temporal (a) and spatial (b) distribution of density (individuals/10m3) of fish eggs and larvae captured in the headwaters of the Cuiabá River, in all the collection sites, between November 2007 and March 2008.

opencc-zeroMar 2024View details →

Abiotic factors modify ponderosa pine regeneration outcomes after high-severity fire

Large high-severity burn patches are increasingly common in southwestern US dry conifer forests. Seed-obligate conifers often fail to quickly regenerate large patches because their seeds rarely travel the distances required to reach the core patch area. Abiotic factors may further alter the distance seeds can travel to regenerate a patch, which would change expected post-fire regeneration patterns. We used the presence and density of ponderosa pine regeneration as a proxy for seed dispersal to quantify the effect of abiotic factors on seed dispersal into high-severity patches. We established 45 transects in burn patches across the Gila National Forest, NM, USA to measure regeneration density in areas that varied by aspect, slope, and prevailing wind direction relative to intact forest. We modeled the effect of abiotic features on regeneration presence and density, comparing density estimates against a distance-only model to assess differences in model performance and expected regeneration density. We found the highest regeneration densities on north-facing aspects that were near, downwind, and downslope of intact forest, which decreased in density and likelihood as conditions for seed dispersal became less favorable. Accounting for abiotic factors improved model performance and increased regeneration density estimates compared to the distance-only model. Our findings indicate that regeneration presence and density vary as a function of the interaction between abiotic factors and distance to the primary seed source, which is determined by patch characteristics. Therefore, abiotic factors will have a smaller effect on regeneration outcomes in large, simple patches, which have more area further from the patch edge.

Figure 2 in Tracking of spatial changes in the structure of the zooplankton community according to multiple abiotic factors along a hypersaline lagoon

Figure 2. Variation of multiple factors (temperature, salinity, oxygen (mg.L-1), and pH) in each collection station over the sampled months of 2010 and 2011.

Figure 1 in Tracking of spatial changes in the structure of the zooplankton community according to multiple abiotic factors along a hypersaline lagoon

Figure 1. Map of the coast of the state of Rio de Janeiro pointing out the 8 sampling stations of the Araruama lagoon.

Figure 4 in Tracking of spatial changes in the structure of the zooplankton community according to multiple abiotic factors along a hypersaline lagoon

Figure 4. Temporal correlations between larvae of Cirripedia and Acartia tonsa (A) and between Acartia tonsa and temperature (B).

Figure 3 in Tracking of spatial changes in the structure of the zooplankton community according to multiple abiotic factors along a hypersaline lagoon

Figure 3. Relationship between temperature, salinity, and pH and their effect on the abundance of Cirripedia larvae over the months.

Figure 5 in Tracking of spatial changes in the structure of the zooplankton community according to multiple abiotic factors along a hypersaline lagoon

Figure 5. Variation of zooplankton density in each collection station, variations in the index of Shannon-Weaver which measures the Diversity (H) and the Pielou's uniformity which measures the Equitability (J) over the sampled months.

opencc-by-nc-4.0Apr 2024View details →

Data from: Abiotic and biotic drivers on tadpoles in seasonal rock pools of Western Ghats rock outcrops, India

We assessed the influence of abiotic (pool size, monsoon progression) and biotic (predator abundances) factors on occurrence and abundance of three species of tadpoles by periodically monitoring rock pools in lateritic plateaus. The dataset generated from this study is published here.  Species Coverage: Euphlyctis jaladhara, Microhyla nilphamariensis, Polypedates maculatus; four predator groups (Pisaurid Spiders, Crabs, Water Beetles, Dragonfly Larvae) Geographic Coverage: Devi Hasol plateu of Ratnagiri District, Maharashtra State, India. (16°44'–16°45'N; 73°25–73°27'E) Temporal Coverage: July, August, September (2022).   Methods: Nighttime rock pool surveys were conducted for tadpoles of three species (Euphlyctis jaladhara, Microhyla nilphamariensis, Polypedates maculatus). Pools were monitored eight times during the study period between 1900–2300 hr, usually in clear weather, barring occasional rain incidences. The pool water was clear during all the observation occasions. For large (>1003 cm3) pools, the observer gently walked along the bank and scanned the pool to record all animals. Care was taken not to recount the same schools of tadpoles, and a red light was used while approaching the pool to avoid light disturbance. The observer enumerated tadpoles of the three species and their potential predators (fishing spiders, crabs, dragonfly larvae, and water beetles) by counting them using head and hand-held torch lights. Following microhabitat variables were recorded at four occasions: Pool maximum length and width (cm), water depth (cm) at three points, humus cover (%), submerged vegetation cover (%), and edge vegetation cover (%). The percentage covers of vegetation and humus were visually estimated.    Funding: <ol> <li>On the Edge (UK)</li> <li>The Habitats Trust (India)</li> <li>The Bombay Environmental Action Group (India)</li> </ol>

embargoedcc-zeroFeb 2024View details →

Intraguild interactions and abiotic conditions mediate occupancy of mammalian carnivores: co-occurrence of coyotes-fishers-martens

The widespread eradication of large carnivores and subsequent expansion of top mesopredators have the potential to impact species and community interactions with ecosystem-wide implications. An example of these trophic dynamics is the widespread establishment of coyotes following the extirpation of wolves and mountain lions in eastern North America. Here, we examined the occupancy of three carnivores in northern New York considering both environmental/habitat factors and interspecific interactions. We estimated the co-occurrence of coyotes, fishers, and martens from a landscape-scale winter camera trap survey repeatedly annually for three years. Martens occurred independently of both coyotes and fishers, while fishers and coyotes displayed positive intraguild interactions that were constant across the landscape. Both marten and fisher first-order occupancy was driven by a combination of biotic and abiotic factors, with both species displaying positive associations with forest cover but antithetical responses to average snow depth. The integral and antithetical role of snow depth in driving the occurrence of martens (positive) and fishers (negative) in the landscape indicates that future climatic warming could reduce the availability of current spatial refuges for martens created by severe winter conditions. Climate-driven alterations to established competitive interactions and co-existence patterns between marten and fishers have critical implications for the species' survival and conservation. We provide correlational evidence consistent with the potential for positive top-down effects of dominant mesocarnivores on subordinate species, with fisher occupancy increasing conditional on the presence of coyotes across the landscape. These findings align with the hypothesis that under certain conditions, coyotes may facilitate certain subordinate carnivores. The evidence produced here is consistent with hypotheses on the dynamic nature of trophic niches. We demonstrate the need to consider the interplay between climate, habitat, and interspecific interactions to understand wildlife occupancy patterns and inform wildlife management in a rapidly changing world.

opencc-by-4.0Nov 2024View details →

Interactive and unimodal relationships between plant biomass, abiotic factors, and plant diversity in global grasslands

The R file CodeGrasslandBiomass contains all R code necessary to reproduce all results of the manuscript “Interactive and unimodal relationships between plant biomass, abiotic factors, and plant diversity in global grasslands” based on the data in the csv file DataGB.

opencc-by-4.0Dec 2021View details →

Transcription factors in moss development and defenses against abiotic and biotic stress_dataset

Lists of P. patens genes encoding transcription factors belonging to AP2/ERF, bHLH, GRAS, MYB, NAC and WRKY families differentially expressed in transcriptomes related to response to biotic interactions, abiotic stress, and hormones.

opencc-zeroDec 2021View details →

Zooplankton recovery from a whole‐lake disturbance: Examining roles of abiotic factors, biotic interactions, and traits

Community assembly following disturbance is a key process in determining the composition and function of the future community. However, replicated studies of community assembly at whole ecosystem scales are rare. Here, we describe a series of whole-lake experiments in which the recovery of zooplankton communities was tracked following an ecosystem-scale disturbance, i.e., application of the piscicide, rotenone. Using a BACI design, fourteen lakes in eastern Washington were studied: seven lakes were treated with rotenone, while seven lakes acted as reference systems. Each lake was monitored up to six months before and one to two years after the rotenone treatments. Zooplankton samples and environmental measurements were collected approximately monthly from each lake. Community responses following disturbance were assessed using metrics of abundance, diversity, and community composition, as well as taxonomic group abundance. Zooplankton recovery was also assessed using species traits related to habitat, feeding mode, trophic level, body size, and life history. In addition to patterns of recovery, potential mechanisms were explored relating to abiotic conditions, biotic interactions, and traits. There were steep declines in the abundance (average across years: 99%) and diversity (average across years: 75%) of the zooplankton community following rotenone treatment. Although abundance had recovered by the second year of the study, community diversity had not fully recovered after two years. Communities from rotenone lakes appeared to be compositionally recovered within about eight months following disturbance. Cyclopoid copepods were typically the first group to recover, and remained dominant for a few months, whereas cladocerans recovered more slowly, typically within ~6-7 months following rotenone. Calanoid copepods were not fully recovered two years after rotenone treatment. Traits related to body size and feeding mode were associated with the zooplankton communities following rotenone treatment. We failed to observe significant spatial synchrony in recovery patterns of zooplankton across lakes, though we did observe significant synchrony of zooplankton taxonomic groups within lakes. These findings suggest that traits related to ecological function, and to a lesser extent, biotic and abiotic factors, as well as characteristics of the disturbance itself, may be important in helping to understand recovery processes.

opencc-by-4.0Dec 2021View details →

Effects of sub-lethal single, simultaneous, and sequential abiotic stresses on phenotypic traits of Arabidopsis thaliana

Data and code from: "Effects of sub-lethal single, simultaneous, and sequential abiotic stresses on phenotypic traits of Arabidopsis thaliana" published at Annals of Botany PLANTS. This is a dataset on phenotypic traits of Arabidopsis in response to different abiotic stresses and a reproducible R script to generate all figures and tables in the publication.

opencc-zeroJul 2022View details →

Data from: Strong links between plant traits and microbial activities but different abiotic drivers in mountain grasslands

This dataset contains data and code that support the results in Weil, S.-S., Martinez-Almoyna, C., Piton, G., Renaud, J., Boulangeat, L., Foulquier, A., ... & Thuiller, W. (2021) Strong links between plant traits and microbial activities but different abiotic drivers in mountain grasslands (accepted in Journal of Biogeography). We used an extensive plant-soil dataset that covers 14 elevational gradients (between 1500 and 2800 m of elevation) distributed over the whole French Alps to analyse the spatial co-dependencies between the plant and soil compartments. We ran a Graphical Lasso that extracts the direct and indirect linkages between plant functional composition, soil microbial activities, and environmental conditions (local climate and soil properties). Our main results are 1) that plant traits are tightly associated with microbial activities, the former being driven by climate and the latter by soil properties; 2) that the dominance of specific plant traits was more important than their diversity to determine plant-soil linkages; and 3) that soil microbes invested strongly in nutrient acquisition in sites with conservative plant traits and reduced organic matter quality.

opencc-by-4.0Jun 2022View details →

Intermediate data files from the compilation of Economy-wide Material Flow Accounts for the Domestic Extraction of abiotic materials

These files represent a selection of intermediary files from the compilation of material flow accounts on Domestic Extraction (DE) of abiotic materials. The main output of this compilation has been integrated in the UNEP IRP Global Material Flow Database (GMFD). These files include input files (e.g. IDs for data harmonization, or factors for data conversion), as well as output files (e.g. supplementary information, or detailed data accounts before aggregation and integration into the GMFD). Please note: These files are published exclusively for the purpose of making this information available to interested parties in a transparent and orderly fashion, in particular to other research projects who may have use for it. Therefore, these files are not associated with any publication and have not been adjusted or formatted with regard to any publications standards, i.e. they are uploaded exactly as they have been processed in the respective R Github repository of the underlying data compilation. The following description attempts to give a short overview of the respective types of files and their contents. For more detailed information on the data compilation, please refer to chapters 6, 8, and 10 in the <a href="https://resourcepanel.org/sites/default/files/irp_technical_annex_global_material_flows_database.pdf">technical report</a> of the GMFD.   Main data output (i.e. detailed material flow accounts) DE_met_min_fos_CCC_2021-11-04.csv: Data aggregated to the official categories (CCC/TCCC) used for integration into the GMFD. With IDs, without names (e.g. for materials and countries). DE_met_min_fos_CCC_with_names_2021-11-04.csv: Same as above, but with names. DE_met_min_fos_Detailed_2021-11-04.csv: Detailed accounts, as compiled, before final aggregation. With IDs, without names. DE_met_min_fos_Detailed_with_names_2021-11-04.csv: Same as above, but with names.   DE_met_min_fos_Detailed_2022-05-24.csv: Slightly revised version from May 2022. But not included in current GMFD version.   ID and concordance tables ccc_vs_mat_ids.csv: Concordance table for allocation of detailed material accounts to aggregated CCC accounts. country_ids.csv: General ID table for country IDs and names estimated_ids.csv: Material IDs which are assigned during application of ore estimation factors. geo_exist.csv: Table for consistent geographic adjustment of data for specific countries which have disintegrated over time (not including regions like Germany, Yemen, Ethiopia, Sudan, which all have been dealt with individually if necessary). material_ids.csv: General ID table for material IDs and names. source_country_ids.csv: Concordance table for country IDs (i.e. for allocation of harmonized IDs to source namings/IDs) source_material_ids.csv: Concordance table for material IDs (i.e. for allocation of harmonized IDs to source namings/IDs) source_unit_ids.csv: Concordance table for unit IDs (i.e. for allocation of harmonized IDs to source namings/IDs) unit_ids.csv: General ID table for unit IDs and names.   Conversion factors conversion_elements.csv: Factors applied for conversion from metal compounds to elemental metals. conversion_factors_units.csv: Factors applied for unit conversions.   Ore estimation factors <ul> <li>These factors represent content-to-ore ratios (i.e. "tonnes of extracted ore/mineral per ton of produced content”).</li> </ul> all_integrated_est_fac_2021-11-04.csv: Factors for estimation of metal and mineral ores (all which have been compiled/integrated) applied_est_fac_2021-11-04.csv: Factors for estimation of metal and mineral ores (which have actually been applied) average_metal_prices_1990-2020.csv: Metal prices applied in the compilation of estimation ratios. raw_metal_to_ore_ratios_fineprint.csv: Raw metal-to-ore ratios derived from FINEPRINT mining data. raw_metal_to_ore_ratios_snl.csv: Raw metal-to-ore ratios derived from SNL mining data.   Intermediate files from data processing all_interm_conv_integr_2021-12-13.csv: Harmonized, converted (units & elemental metals), integrated (i.e. without double counting). Before any estimations (ores & construction minerals) and before final cleaning/formatting. wmd_bgs_usgs_interm_harmonized_2021-12-13.csv: All harmonized raw data from WMD/BGS/USGS, before any further processing (i.e. with double counting).   Comparison data (for mining accounts from FINEPRINT project) data_for_comparison_2022-05-24.csv: Data set specifically compiled for comparison with accounts on production of mines from the FINEPRINT project. Has been applied for verification of data published in "Jasansky et al. (2022) An open database on global coal and metal mining". <ul> <li>Includes all available types of materials which have been reported (e.g. ores and metals and metal compounds) <ul> <li>meaning: also materials which are associated with each other, for example iron ore and iron (and would therefore have been selectively integrated/excluded in the GMFD compilation).</li> </ul> </li> <li>Excludes any double counting for the exact same material from different data sources</li> <li>Harmonized IDs, converted units</li> <li>Includes metal compounds approximated/converted from reported elemental metals (where possible)</li> </ul>   materialflows.net data_sunburst_material_profiles_20220607.csv: Full detail of data underlying the Sunburst visualization "Global Domestic Extraction in 2019, by material group" in section "Raw Material Profiles" on materialsflow.net. However, for all available years. Includes data on Domestic Extraction of biomass. Includes detail for CCC, MFA13+, MFA4+   Outliers overview_adjusted_outliers_2021-12-22.csv: Overview of outliers which were adjusted during final formatting.   Other approximation_tailings_detailed_2021-09-26.csv: Estimation of tailings based on reported amounts of ores/minerals and their respective contents.

opencc-zeroJul 2022View details →

Impacts of abiotic and biotic factors on terrestrial leeches in

Haemadipsid leeches are ubiquitous inhabitants of tropical and sub-tropical forests in the Indo-Pacific region. They are increasingly used as indicator taxa for biomonitoring, yet very little is known about their basic ecology. For example, to date no study has assessed the occurrence and distribution of haemadipsid leeches across naturally occurring gradients within intact habitats. We analysed a long-term data set (2012-2020) on the closely related tiger (Haemadipsa picta) and brown (Haemadipsa spp.) leech species to investigate if and how abiotic and biotic factors influence their occurrence across a gradient of forest types at an undisturbed tropical rainforest site in Indonesian Borneo. We compared a series of negative binomial mixed models and found that, of the abiotic factors, soil moisture had the largest positive effect on encounter rates of both leech species. Among biotic factors, forest type had differential effects on counts of the two species: while tiger leech counts were greater in low elevation forest types, brown leech counts were greater in high elevation forest types. Additionally, we found that the presence of one species had a positive effect on the presence of the other species. Finally, our results show that the tiger leech has a narrower distribution, being restricted to lower elevation forest types with higher water retention, suggesting that the tiger leech could be more sensitive to lower soil moisture levels.

opencc-by-4.0Apr 2024View details →

Data set for "A Magnesium Binding Site And The Anomeric Effect Regulate The Abiotic Redox Chemistry Of Nicotinamide Nucleotides"

Data associated with Sebastianelli L, Kaur H, Chen Z, Krishnamurthy R, Mansy SS (2024) A magnesium binding site and the anomeric effect regulate the abiotic redox chemistry of nicotinamide nucleotides. Chem Eur J. 30, e202400411. DOI: 10.1002/chem.202400411 [<a href="https://chemistry-europe.onlinelibrary.wiley.com/doi/abs/10.1002/chem.202400411">link</a>]

opencc-by-4.0Dec 2019View details →

Figure 5 in Seasonal Abundance of Economically Important Fruit Flies (Diptera: Tephritidae: Dacinae) in Bangladesh, in Relation to Abiotic Factors and Host Plants

Figure 5. Distribution and mean monthly trap captures of Dacus longicornis, in relation with abiotic factors and host fruit availability.