cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24720219
title: Supplementary Data (Part I).xlsx

description: 华南云开地块俯冲沉积物衍生熔融-辉石相互作用生成晚二叠世富铁基性侵入体数据（上）：地质年代学和矿物学的制约因素
DOI: 10.6084/m9.figshare.24720219.v1
title: 补充数据.xlsx

description: 华南云开地块俯冲沉积物衍生熔融-辉石相互作用生成晚二叠世富铁基性侵入体数据（上）：地质年代学和矿物学的制约因素
DOI: 10.6073/pasta/c16c1cb3dc46d625f0ea9eac3b80af5e
title: Invasive Species Mapping at Harvard Forest 2005

description: We are monitoring vegetation at the Harvard Forest for invasive plant populations with respect to land use history and other factors. Using our historical database for the Harvard Forest Prospect Hill tract, we have begun mapping the current distribution of non-native plants as a function of past land use. The 320 ha tract of Prospect Hill is mapped by parcels with known land-use history, soils, vegetation composition, and long-term vegetation dynamics. We plan to conduct annual vegetation surveys at Harvard Forest and the adjacent Quabbin Reservation to document six key non-native species currently present in the area: A. petiolata, the non-native shrubs B. thunbergii, Rhamnus cathartica, R. frangula, Lonicera spp. and the climbing vine, Celastrus orbiculatus. We will map the GPS coordinates and record cover estimates of each species and conduct spatial analyses on these data using our extensive records and GIS maps of land use histories at these locations. Detailed site histories will be determined certain species of interest, using field and archival records. Using similar techniques, we also plan to monitor invasive plant populations at key experimental plots (including the hemlock removal experiment at Simes Tract, and the "recovery phase" of the Chronic N addition plots). Together, these landscape-level studies will provide a novel historical context for understanding biological invasions in a historical context.
DOI: 10.34740/kaggle/dsv/7123261
title: ICC MENS ODI WORLD CUP 2023
DOI: 10.18112/openneuro.ds001553.v1.0.1
title: 100 runs at 3T
DOI: 10.5066/p97qaecz
title: Geologic map of science study area 8, Apollinaris Patera region of Mars

description: Volcanoes are among the most imposing and geologically interesting features on Mars. Nearly 60 percent of the planets surface is covered by volcanic rocks dating from the Early Noachian to Late Amazonian Epochs (Tanaka and others, 1988). This map of the volcano Apollinaris Patera and surrounding area is one of a series of large-scale (1:500,000) geologic maps initiated by the National Aeronautics and Space Administration to investigate areas of particular scientific interest. The areas selected for mapping contain candidate landing sites for future sample-return missions to Mars (fig. 1).
DOI: 10.5066/p9cf5xo3
title: Geologic and topographic maps of the Elysium Paleolake basin, Mars
DOI: 10.5281/zenodo.10003696
title: Groundwater level data, aquifer system boundaries, and supplementary tables associated with Jasechko, S. et al. Rapid groundwater decline and some cases of recovery in aquifers globally. Nature, doi.org/10.1038/s41586-023-06879-8 (2024).

description: Groundwater level data, aquifer system boundaries, and Supplementary Tables associated with Jasechko, S., Seybold, H., Perrone, D., Fan, Y., Shamsudduha, M., Taylor, R.G., Fallatah, O., Kirchner, J.W. Rapid groundwater decline and some cases of recovery in aquifers globally. Nature, https://doi.org/10.1038/s41586-023-06879-8 (2024).
DOI: 10.5281/zenodo.10003697
title: Groundwater level data, aquifer system boundaries, and supplementary tables associated with Jasechko, S. et al. Rapid groundwater decline and some cases of recovery in aquifers globally. Nature, doi.org/10.1038/s41586-023-06879-8 (2024).

description: Groundwater level data, aquifer system boundaries, and Supplementary Tables associated with Jasechko, S., Seybold, H., Perrone, D., Fan, Y., Shamsudduha, M., Taylor, R.G., Fallatah, O., Kirchner, J.W. Rapid groundwater decline and some cases of recovery in aquifers globally. Nature, https://doi.org/10.1038/s41586-023-06879-8 (2024).
DOI: 10.34683/sr2425
title: StoneRounds Case: SR2425
title: XL Retinitis Pigmentosa

description: StoneRounds Case SR2425 was diagnosed with XL Retinitis Pigmentosa likely caused by mutations in the gene: RPGR.
DOI: 10.5066/p9ofrnun
title: Spatial data from An Inventory of U.S. Geological Survey Three-Dimensional Geologic Models, Volume 1, 2004&amp;amp;amp;ndash;2022

description: Within the U.S. Geological Survey (USGS), three-dimensional (3D) geologic models are created as part of geologic framework studies, to support energy, minerals, or water resource assessments, and to inform geologic hazard assessments. Such models are often used within the organization as digital input into process and predictive models. 3D geological modeling typically supports research and project work within a specific part of the USGS – called Mission Areas – and as a result, 3D modeling activities are decentralized and model results are released on a project-by-project basis. This digital data release inventories and catalogs, for the first time, 3D geological models constructed by the USGS across all Mission Areas. This inventory [...]
DOI: 10.5066/p9ed29dj
title: Stable isotope signatures from green turtles and hawksbills at Buck Island Reef National Monument, U.S. Virgin Islands from 2012-2019

description: We used stable isotope analysis of nitrogen and carbon turtle epidermal samples to describe the trophic niche of the sampled sea turtle population by portraying &#948;C as a habitat structure variable against &#948;N as a resource gradient axis. We examined isotopic data for hawksbills (n = 64) and green turtles (n = 241) hand-captured across an 8-year time frame (2011-2019) to assess interspecific competition. We use statistical analysis to identify ontogenetic shifts associated with changes in trophic feeding to postulate changes to resource use. Our results indicate that stable environmental conditions around Buck Island Reef National Monument (BIRNM) allow for different trophic strategies across the two species with significantly overlapping foraging niches. Our metrics can further be used to measure change in local conditions and populations, or to make global comparisons of trophic niche for each species.
DOI: 10.6084/m9.figshare.24727494
title: tables_figshare

description: Article tables.
DOI: 10.6084/m9.figshare.24727494.v1
title: tables_figshare

description: Article tables.
DOI: 10.5066/p93c78yh
title: Geologic map of the MTM -85080 quadrangle (revised), Planum Australe region of Mars

description: Published geologic maps of south polar region of Mars have been based on either Mariner 9 (Condit Soderblom, 1978; Scott and Carr, 1978) or Viking Orbiter (Tanaka and Scott, 1987) images. The mapped extent of the southern layered deposits differs in many places on these maps and on our maps. These differences reflect the difficulty in accurately determining the location of the contact between the layered deposits and subjacent units. The polar layered deposit gradually thin toward their margin in many places, and the smooth surface features that characterize the layered deposits are also found on other sedimentary blankets in the south polar region (Murray and others, 1972; Sharp, 1973).
DOI: 10.6084/m9.figshare.24727440
title: Final Data Glo. Eco. Conserv. Naji.xlsx

description: The data is associated with the article published in the J. of Global Ecology and Conservation related to leaf traits and stoichiometry of four different forest trees from two climates in the Zagros forest, Iran
DOI: 10.6084/m9.figshare.24727440.v1
title: Final Data Glo. Eco. Conserv. Naji.xlsx

description: The data is associated with the article published in the J. of Global Ecology and Conservation related to leaf traits and stoichiometry of four different forest trees from two climates in the Zagros forest, Iran
DOI: 10.5281/zenodo.8351873
title: Benchmarking splice variant prediction algorithms using massively parallel splicing assays

description: Dataset, jupyter notebooks, and support python modules for "Benchmarking splice variant prediction algorithms using massively parallel splicing assays" (Smith and Kitzman, 2023)
DOI: 10.5281/zenodo.8351872
title: Benchmarking splice variant prediction algorithms using massively parallel splicing assays

description: Dataset, jupyter notebooks, and support python modules for "Benchmarking splice variant prediction algorithms using massively parallel splicing assays" (Smith and Kitzman, 2023)
DOI: 10.5281/zenodo.8351879
title: Benchmarking splice variant prediction algorithms using massively parallel splicing assays

description: Dataset, jupyter notebooks, and support python modules for "Benchmarking splice variant prediction algorithms using massively parallel splicing assays" (Smith and Kitzman, 2023)
DOI: 10.26207/zcnm-0x09
title: Dataset for "Isotopic clumping in wood as a proxy for photorespiration in trees"
DOI: 10.17045/sthlmuni.24247090.v1
title: Greiser et al. (2023) Higher soil moisture increases microclimate temperature buffering in temperate broadleaf forests - Data and Code

description: Abstract of the article to which the data and code belong:Forest canopies can buffer the understory against temperature extremes often creating cooler microclimates during warm summer days compared to temperatures outside the forest. The buffering of maximum temperatures in the understory results from a combination of canopy shading and air cooling through soil water evaporation and plant transpiration. Therefore, buffering capacity of forests depends on canopy cover and soil moisture content, which are increasingly affected by more frequent and severe canopy disturbances and soil droughts. The extent to which this buffering will be maintained in future conditions is unclear due to the lack of understanding about the relationship between soil moisture and air temperature buffering in interaction with canopy cover and topographic settings. We explored how soil moisture variability affects temperature offsets between outside and inside the forest on a daily basis, using temperature and soil moisture data from 54 sites in temperate broadleaf forests in Central Europe over four climatically different summer seasons. Daily maximum temperatures in forest understories were on average 2 °C cooler than outside temperatures. The buffering of understory temperatures was more effective when soil moisture was higher, and the offsets were more sensitive to soil moisture on sites with drier soils and on sun-exposed slopes with high topographic heat load. Based on these results, the soil-water limitation to forest temperature buffering will become more prevalent under future warmer conditions and will likely lead to changes in understory communities. Thus, our results highlight the urgent need to include soil moisture in models and predictions of forest microclimate, understory biodiversity and tree regeneration, to provide a more precise estimate of the effects of climate change.List of files:02_model_offset_from_soilmoist_rev.r =&gt; R-script for the statistical analysismodel_data_complete_figshare.csv =&gt; cleaned and complete data for the statistical analysismodel_data_4thday_figshare.csv =&gt; cleaned and "thinned" data for the statistical analysisREADME.txt =&gt; metadata describing columns in the dataframes and the environment of the R-script<br><br><br><br><br><br>
DOI: 10.17045/sthlmuni.24247090
title: Greiser et al. (2023) Higher soil moisture increases microclimate temperature buffering in temperate broadleaf forests - Data and Code

description: Abstract of the article to which the data and code belong:Forest canopies can buffer the understory against temperature extremes often creating cooler microclimates during warm summer days compared to temperatures outside the forest. The buffering of maximum temperatures in the understory results from a combination of canopy shading and air cooling through soil water evaporation and plant transpiration. Therefore, buffering capacity of forests depends on canopy cover and soil moisture content, which are increasingly affected by more frequent and severe canopy disturbances and soil droughts. The extent to which this buffering will be maintained in future conditions is unclear due to the lack of understanding about the relationship between soil moisture and air temperature buffering in interaction with canopy cover and topographic settings. We explored how soil moisture variability affects temperature offsets between outside and inside the forest on a daily basis, using temperature and soil moisture data from 54 sites in temperate broadleaf forests in Central Europe over four climatically different summer seasons. Daily maximum temperatures in forest understories were on average 2 °C cooler than outside temperatures. The buffering of understory temperatures was more effective when soil moisture was higher, and the offsets were more sensitive to soil moisture on sites with drier soils and on sun-exposed slopes with high topographic heat load. Based on these results, the soil-water limitation to forest temperature buffering will become more prevalent under future warmer conditions and will likely lead to changes in understory communities. Thus, our results highlight the urgent need to include soil moisture in models and predictions of forest microclimate, understory biodiversity and tree regeneration, to provide a more precise estimate of the effects of climate change.List of files:02_model_offset_from_soilmoist_rev.r =&gt; R-script for the statistical analysismodel_data_complete_figshare.csv =&gt; cleaned and complete data for the statistical analysismodel_data_4thday_figshare.csv =&gt; cleaned and "thinned" data for the statistical analysisREADME.txt =&gt; metadata describing columns in the dataframes and the environment of the R-script<br><br><br><br><br><br>
DOI: 10.34740/kaggle/dsv/7123696
title: Balochi Language to English Translation Dataset
DOI: 10.26207/5cd9-8z41
title: Comparative anatomy of venom glands of gall wasps (Hymenoptera: Cynipidae) - Brightfield images
DOI: 10.6084/m9.figshare.24728019
title: Dereplicated genomes from Sun et al., 2019 Uncultured <i>Nitrospina</i>-like species are major nitrite oxidizing bacteria in oxygen minimum zones

description: dereplicated NOB genomes/MAGs from oxic ocean
DOI: 10.6084/m9.figshare.24728019.v1
title: Dereplicated genomes from Sun et al., 2019 Uncultured <i>Nitrospina</i>-like species are major nitrite oxidizing bacteria in oxygen minimum zones

description: dereplicated NOB genomes/MAGs from oxic ocean
DOI: 10.26207/ve2n-mb96
title: Comparative anatomy of venom glands of gall wasps (Hymenoptera: Cynipidae) - microCT
DOI: 10.26207/57mb-rp34
title: Comparative anatomy of venom glands of gall wasps (Hymenoptera: Cynipidae) - Confocal Laser Scanning Micrographs
DOI: 10.5066/p9x9ntln
title: Geologic map of the MTM-15147 quadrangle, Mangala Valles region of Mars

description: The map area is in the Mangala-Memnonia region (fig. 1), which contains remarkably diverse geologic features and terrain types. Studies of the Mariner 9 images revealed the wide range of ages of the major rock units in this region; age assignments were based on the density of impact craters preserved on the various surfaces (Mutch and others, 1976, p. 56-60; Scott and Carr, 1978; Mutch and Morris, 1979). The region includes ancient cratered highlands, more sparsely cratered smooth plains, young volcanic plains, and the Mangala Valles channel system. The sinuosity of the streamlined landforms within the Mangala Valles, combined with braided channels evident throughout the lower reaches of the valley system, were recognized as indicators that he Mangala area was subject to substantial erosion by a flowing fluid, most likely water (Milton, 1973; Baker and Milton, 1974; Sharp and Malin, 1975). Recent global mapping based on the Viking Orbiter images (Scott and Tanaka, 1986) has refined the relative ages of many rock units on Mars, but it has modified only slightly the basic interpretations of features in the Mangala-Memnonia region.
DOI: 10.5281/zenodo.10257697
title: Telemetry data from: Realized thermal niche approach eliminates temperature bias in 3 bioenergetic model estimates

description: Raw data for Ivanova et al paper in Ecology and Evolution
Datafile is an .rds file.
description: Abstract: Bioenergetics models estimate ectotherm growth, production, and prey consumption – all key for effective ecosystem management during changing global temperatures. Based on species-specific allometric and thermodynamic relationships these models typically use the species' lab-derived optimum temperatures (physiological optimum) as opposed to empirical field data (realized thermal niche) that reflect actual thermal experience. Yet, dynamic behavioural thermoregulation mediated by biotic and abiotic interactions may provide substantial divergence between physiological optimum and realized thermal niche temperatures to significantly bias model outcomes. Here, using the Wisconsin bioenergetics model and in-situ year-round temperature data, we tested the two approaches and compared the maximum attainable lifetime weight and lifetime prey consumption estimates for two salmonid species with differing life-histories. We demonstrate that using the realized thermal niche is the better approach because it eliminates significant biases in estimates produced by the physiological optimum. Specifically, using the physiological optimum, slower-growing Salvelinus namaycush maximum attainable lifetime weight was underestimated, and consumption overestimated, while fast-growing Oncorhynchus tshawytscha maximum attainable weight was overestimated. While the physiological optimum approach is useful for theoretical studies, our results demonstrate the critical importance that models used by management utilize up-to-date system- and species-specific field data representing actual in-situ behaviours (i.e., realized thermal niche).
DOI: 10.5281/zenodo.10257696
title: Telemetry data from: Realized thermal niche approach eliminates temperature bias in 3 bioenergetic model estimates

description: Raw data for Ivanova et al paper in Ecology and Evolution
Datafile is an .rds file.
description: Abstract: Bioenergetics models estimate ectotherm growth, production, and prey consumption – all key for effective ecosystem management during changing global temperatures. Based on species-specific allometric and thermodynamic relationships these models typically use the species' lab-derived optimum temperatures (physiological optimum) as opposed to empirical field data (realized thermal niche) that reflect actual thermal experience. Yet, dynamic behavioural thermoregulation mediated by biotic and abiotic interactions may provide substantial divergence between physiological optimum and realized thermal niche temperatures to significantly bias model outcomes. Here, using the Wisconsin bioenergetics model and in-situ year-round temperature data, we tested the two approaches and compared the maximum attainable lifetime weight and lifetime prey consumption estimates for two salmonid species with differing life-histories. We demonstrate that using the realized thermal niche is the better approach because it eliminates significant biases in estimates produced by the physiological optimum. Specifically, using the physiological optimum, slower-growing Salvelinus namaycush maximum attainable lifetime weight was underestimated, and consumption overestimated, while fast-growing Oncorhynchus tshawytscha maximum attainable weight was overestimated. While the physiological optimum approach is useful for theoretical studies, our results demonstrate the critical importance that models used by management utilize up-to-date system- and species-specific field data representing actual in-situ behaviours (i.e., realized thermal niche).
DOI: 10.26207/9hdb-9618
title: Comparative anatomy of venom glands of gall wasps (Hymenoptera: Cynipidae) - Data and scripts
DOI: 10.6084/m9.figshare.24728073
title: Collection of example datasets used for the book - <b><i>R Programming - Statistical Data Analysis in Research</i></b>

description: This book is written for statisticians, data analysts, programmers, researchers, teachers, students, professionals, and general consumers on how to perform different types of statistical data analysis for research purposes using the R programming language. R is an open-source software and object-oriented programming language with a development environment (IDE) called RStudio for computing statistics and graphical displays through data manipulation, modelling, and calculation. R packages and supported libraries provides a wide range of functions for programming and analyzing of data. Unlike many of the existing statistical softwares, R has the added benefit of allowing the users to write more efficient codes by using command-line scripting and vectors. It has several built-in functions and libraries that are extensible and allows the users to define their own (customized) functions on how they expect the program to behave while handling the data, which can also be stored in the simple object system.For all intents and purposes, this book serves as both textbook and manual for R statistics particularly in academic research, data analytics, and computer programming targeted to help inform and guide the work of the R users or statisticians. It provides information about different types of statistical data analysis and methods, and the best scenarios for use of each case in R. It gives a hands-on step-by-step practical guide on how to identify and conduct the different parametric and non-parametric procedures. This includes a description of the different conditions or assumptions that are necessary for performing the various statistical methods or tests, and how to understand the results of the methods. The book also covers the different data formats and sources, and how to test for reliability and validity of the available datasets. Different research experiments, case scenarios and examples are explained in this book. It is the first book to provide a comprehensive description and step-by-step practical hands-on guide to carrying out the different types of statistical analysis in R particularly for research purposes with examples. Ranging from how to import and store datasets in R as Objects, how to code and call the methods or functions for manipulating the datasets or objects, factorization, and vectorization, to better reasoning, interpretation, and storage of the results for future use, and graphical visualizations and representations. Thus, congruence of Statistics and Computer programming for Research.