cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/f7q23zfc
title: Data release for ecosystem service flows from a migratory species: spatial subsidies of the northern pintail

description: Migratory species provide important benefits to society, but their cross-border conservation poses serious challenges. By quantifying the economic value of ecosystem services (ES) provided across a species range and ecological data on a species habitat dependence, we estimate spatial subsidieshow different regions support ES provided by a species across its range. We illustrate this method for migratory Northern Pintail ducks in North America. Pintails support over $101 million annually in recreational hunting and viewing and subsistence hunting in the U.S. and Canada. Pintail breeding regions provide nearly $30 million in subsidies to wintering regions, with the Prairie Pothole region supplying over $24 million in annual benefits to other regions. This information can be used to inform conservation funding allocation among migratory regions and nations on which the pintail depends. We thus illustrate a transferrable method to quantify migratory species-derived ES and provide information to aid in their transboundary conservation.
DOI: 10.15493/saeon.egagasini.10000001
title: Position of Agulhas Current at satellite track 020 in AGUHYCOM using technique described in Malan et. al (2018) JGR

description: Identification of core position of the Agulhas Current, as plotted in Fig. 3 of Malan et. al. (2018)
DOI: 10.18141/1432613
title: Addendum 1 to Computed Tomography and Statistical Analysis of Bubble Size Distributions in Atmospheric-Generated Foamed Cement

description: Offshore TRS
DOI: 10.18141/1432614
title: Localized Corrosion and Fatigue Behavior of Ultra-Deep Drilling Alloys

description: Offshore TRS
DOI: 10.18141/1432615
title: Characterization of Rare Earth Element Minerals in Coal Utilization Byproducts

description: REE TRS
DOI: 10.18141/1432656
title: Comparison of Publicly Available Methods for Development of Geologic Storage Estimates for Carbon Dioxide in Saline Formations

description: Carbon Storage TRS
DOI: 10.18141/1432657
title: Investigation of CO2 Storage and Enhanced Gas Recovery in Depleted Shale Gas Formations Using a Dual- Porosity/Dual-Permeability, Multiphase Reservoir Simulator

description: Carbon Storage TRS
DOI: 10.18141/1432681
title: Well Integrity for Natural Gas Storage in Depleted Reservoirs and Aquifers

description: Natural Gas Storage TRS
DOI: 10.18141/1432682
title: Second-Generation Reduced-Order Model for Calculation of Groundwater Impacts as a Function pH, Total Dissolved Solids, and Trace Metal Concentrations

description: NRAP TRS
DOI: 10.18141/1432683
title: Developing Surrogate Models for CO2 Sequestration Using Polynomial Chaos Expansion

description: NRAP TRS
DOI: 10.18141/1432684
title: Evaluation of Geothermal and Natural Gas Resources Beneath Camp Dawson and Opportunities for Deep Direct Use of Geothermal Energy or Natural Gas for Heat and Electricity Production

description: UCR TRS
DOI: 10.18141/1432685
title: Quantification of Risk Profiles for Atmosphere and Groundwater

description: NRAP TRS
DOI: 10.18141/1432686
title: First-Generation Toolset for Calculation of Induced Seismicity Hazard Profiles

description: NRAP TRS
DOI: 10.18141/1432689
title: Assessment of Decoupling Wellbore Leakage from Reservoir Flow in Reduced-Order Models

description: NRAP TRS
DOI: 10.18141/1432691
title: Reduced-Order Model Development for CO2 Storage in Brine Reservoirs

description: NRAP TRS
DOI: 10.18141/1432692
title: Laboratory and Synchrotron Analysis of Metal Sediment Associations

description: NRAP TRS
DOI: 10.18141/1432693
title: Modeling the Performance of Large-Scale CO2 Storage Systems:

description: NRAP TRS
DOI: 10.18141/1432695
title: Characterization of Experimental Fracture Alteration and Fluid Flow in Fractured Natural Seals

description: NRAP TRS
DOI: 10.18141/1432696
title: Acid Gas Interactions with Pozzolan-Amended Wellbore Cement Under Geologic Storage Conditions

description: NRAP TRS
DOI: 10.18141/1432697
title: Use of Science-Based Prediction to Characterize Reservoir Behavior as a Function of Injection Characteristics, Geological Variables, and Time

description: NRAP TRS
DOI: 10.18141/1432703
title: NSealR—A User’s Guide,

description: NRAP TRS
DOI: 10.14469/hpc/4033
title: Borate amidation. TS1, N to O PT G = -1135.339406 ÎGâ¡ 23.2

description: Gaussian Calculation
DOI: 10.14469/hpc/4034
title: Borate amidation. TS1', PT for N to B-O-B bridging oxygen, IRC

description: Gaussian Calculation
DOI: 10.14469/hpc/4035
title: borate amidation. TI1 formed from two reactants -1135.376412 ÎÎG 0.0

description: Gaussian Calculation
DOI: 10.14469/hpc/4036
title: Proton abstraction from 1: X=CH3

description: Gaussian Calculation
DOI: 10.14469/hpc/4041
title: Viewing and re-using Computational, Spectroscopic and Crystallographic FAIR Data

description: Brief information about viewing chemical datasets
DOI: 10.7278/s5cv4fww
title: Data for "Thermodynamic constraints on the size distributions of tropical clouds"
DOI: 10.18739/a2vw0w
title: Estimating fluxes of greenhouse gasses along the Yenisei River, Siberia, 2016
DOI: 10.5063/f14x55zh
title: SNAPP - Comparative terrestrial feed and land use of an aquaculture-dominant world

description: Reducing food production pressures on the environment while feeding an ever-growing human population is one of the grand challenges facing humanity. The magnitude of environmental impacts from food production, largely around land use, has motivated evaluation of the environmental and health benefits of shifting diets, typically away from meat towards seafood or vegetarian diets. With seafood, global wild catches have remained relatively unchanged for the last two decades, suggesting increased demand for seafood will have to rely on aquaculture (i.e., aquatic farming). Increasingly, cultivated aquatic species depend on direct feed inputs from agricultural sources, raising concerns around further straining crops and land use for feed. Yet, the relative impact and potential of aquaculture remains unclear. Here we simulate how different forms of aquaculture contribute and compare to feed and land use of terrestrial meat production and how spatial patterns might change by mid-century if diets move towards more cultured seafood and less meat. Using country-level aquatic and terrestrial data, we show aquaculture requires less feed crops and land, even if over a third of protein production comes from aquaculture by 2050. However, feed and land sparing benefits are spatially heterogeneous, driven by differing patterns of production, trade, and feed composition. Notably, we capture the magnitude and uncertainty of reducing feed and land use through improved animal efficiency and changing human diets. This data package captures the scientific workflow and computation used to produce the journal article: Froelich et al., (2018) Comparative terrestrial feed and land use of an aquaculture-dominant world, PNAS.
DOI: 10.5066/f7b27tg8
title: Accuracy of Rapid Crop Cover Maps of Conterminous United States for 2008 - 2016

description: Spatially accurate annual crop cover maps are an important component to various planning and research applications; however, the importance of these maps varies significantly with the timing of their availability. Utilizing a previously developed crop classification model (CCM), which was used to generate historical annual crop cover maps (classifying nine major crops: corn, cotton, sorghum, soybeans, spring wheat, winter wheat, alfalfa, other hay/non alfalfa, fallow/idle cropland, and other as one class for remaining crops), we hypothesized that such crop cover maps could be generated in near real time (NRT). The CCM was trained on 14 temporal and 15 static geospatial datasets, known as predictor variables, and the National Agricultural Statistics Service (NASS) Cropland Data Layers (CDL) was used as the dependent variable. We were able to generate a NRT crop cover map by the first day of September through a process of incrementally removing weekly and monthly data from the CCM and comparing the subsequent map results with the original maps and NASS CDLs. Initially, our NRT results revealed training error of 1.4% and test error of 8.3%, as compared to 1.0% and 7.6%, respectively for the original CCM. Through the implementation of a new two-mapping model approach, we were able to substantially improve the results of the NRT crop cover model. We divided the NRT model into one crop type model to handle the classification of the nine specific crops and a second, binary model to classify crops as presence or absence of the other crop. Under the two-mapping model approach, the training errors were 0.8% and 1.5% for the crop type and binary model, respectively, while test errors were 5.5% and 6.4% for crop type and binary model, respectively. With overall mapping accuracies for annual maps reaching in 60s to 70s percent, this approach shows strong potential for generating crop type maps of current year in September.
DOI: 10.5066/f7gx49vq
title: Data Release for "Wetlands inform how climate extremes influence surface water expansion and contraction"
DOI: 10.5281/zenodo.1215888
title: Standard Sample Description V1 Structural Metadata

description: Standard Sample Description V1 is a specification aimed at harmonising the collection of analytical measurement data for the presence of harmful or beneficial chemical substances in food, feed and water. The specification is a list of standardised data elements (items describing characteristics of samples or analytical results such as country of origin, product, analytical method, limit of detection, result, etc.), linked to controlled terminologies. This file has been prepared to support the publication of data and interoperability. This file indicates which data elements from the specification will not be published to ensure full protection of confidential/sensitive information, for example personal data in accordance with Regulation (EC) No 45/2001 and to protect commercial interests, including intellectual property as specified in Article 4(2), first indent, of Regulation (EC) No 1049/2001. The Excel table contains information about the structural metadata elements of the data collection and their fact tables.<br> <br> The column <em>name</em> shows the name of the element (e.g. localOrg).<br> The column <em>description</em> describes how the content has to be interpreted.<br> The column <em>code</em> expresses the corresponding code of the structural metadata element.<br> The column <em>optional</em> says whether the structural metadata element is optional or not (then it is mandatory).<br> The column <em>dataType</em> contains the type which can be used to fill the structural metadata element and the possible maximal length of the field. The possible types are: text or number. <br> The column <em>catalogue</em> contains the name of the catalogue where the content of the structural metadata element has to be picked from (e.g. COUNTRY).<br> The column <em>data</em> <em>protection</em> contains whether the structural metadata element will be published or not (yes = will not be published, no = will be published).
description: EU; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.1215992
title: EU MENU Structural Metadata

description: The availability of detailed, harmonised and high-quality food consumption data for use in dietary exposure assessments is a long-term objective of EFSA. In 2009, the EFSA guidance on “General principles for the collection of national food consumption data in the view of a pan-European dietary survey” was published, and a pan-European food consumption survey, also known as the “EU Menu”, was launched. This structural metadata supports reporting of harmonised food consumption data for use in dietary exposure assessments of food-borne hazards and nutrient intake estimations. It was developed for 24-hour dietary recall studies. The reported foods should be described in accordance with the EFSA FoodEx2 food classification system. This file indicates which data elements from the EU MENU will not be published to ensure full protection of confidential/sensitive information, for example personal data in accordance with Regulation (EC) No 45/2001 and to protect commercial interests, including intellectual property as specified in Article 4(2), first indent, of Regulation (EC) No 1049/2001. The Excel tables contain information about the structural metadata elements of the data collection and their fact tables.<br> <br> The column <em>name</em> shows the name of the element (e.g. localOrg).<br> The column <em>description</em> describes how the content has to be interpreted.<br> The column <em>code</em> expresses the corresponding code of the structural metadata element.<br> The column <em>optional</em> says whether the structural metadata element is optional or not (then it is mandatory).<br> The column <em>dataType</em> contains the type which can be used to fill the structural metadata element and the possible maximal length of the field. The possible types are: text or number.<br> The column <em>catalogue</em> contains the name of the catalogue where the content of the structural metadata element has to be picked from (e.g. COUNTRY).<br> The column <em>data</em> <em>protection</em> contains whether the structural metadata element will be published or not (yes = will not be published, no = will be published). The structural metadata is available for the three EU Menu fact tables: Consumption, Food list and Subjects.
description: EU; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.1215993
title: EU MENU Structural Metadata

description: The availability of detailed, harmonised and high-quality food consumption data for use in dietary exposure assessments is a long-term objective of EFSA. In 2009, the EFSA guidance on “General principles for the collection of national food consumption data in the view of a pan-European dietary survey” was published, and a pan-European food consumption survey, also known as the “EU Menu”, was launched. This structural metadata supports reporting of harmonised food consumption data for use in dietary exposure assessments of food-borne hazards and nutrient intake estimations. It was developed for 24-hour dietary recall studies. The reported foods should be described in accordance with the EFSA FoodEx2 food classification system. This file indicates which data elements from the EU MENU will not be published to ensure full protection of confidential/sensitive information, for example personal data in accordance with Regulation (EC) No 45/2001 and to protect commercial interests, including intellectual property as specified in Article 4(2), first indent, of Regulation (EC) No 1049/2001. The Excel tables contain information about the structural metadata elements of the data collection and their fact tables.<br> <br> The column <em>name</em> shows the name of the element (e.g. localOrg).<br> The column <em>description</em> describes how the content has to be interpreted.<br> The column <em>code</em> expresses the corresponding code of the structural metadata element.<br> The column <em>optional</em> says whether the structural metadata element is optional or not (then it is mandatory).<br> The column <em>dataType</em> contains the type which can be used to fill the structural metadata element and the possible maximal length of the field. The possible types are: text or number.<br> The column <em>catalogue</em> contains the name of the catalogue where the content of the structural metadata element has to be picked from (e.g. COUNTRY).<br> The column <em>data</em> <em>protection</em> contains whether the structural metadata element will be published or not (yes = will not be published, no = will be published). The structural metadata is available for the three EU Menu fact tables: Consumption, Food list and Subjects.
description: EU; CSV; data.collection@efsa.europa.eu
DOI: 10.7910/dvn/i4jgim
title: Replication Data for: Climate modelling for agroforestry species selection in Yunnan Province, China

description: This dataset was moved to: https://doi.org/10.34725/DVN/I4JGIMIndigenous agroforestry systems have been practiced for centuries in the Himalaya Mountains and adjoining regions. With the increase of climate change associated risks, enhanced understanding of the impact of climate change and related phenomena on the potential distribution of agroforestry is increasingly useful and necessary, for both maintaining and improving yield and ecosystem function. In particular, increased understanding of these issues is crucial to identify both “how” and “where” efficient and systematic response mechanisms can be developed in advance to provide an array of adaptation options. Choosing the appropriate tree crop for current and future suitable location is a first important step and primary aspect in developing agroforestry systems that would meet regional needs for adaptation, mitigation, and ecological restoration.
DOI: 10.7910/dvn/iquvqi
title: Replication Data for: Predicting the impact of climate change on the distribution of two threatened Himalayan medicinal plants of Liliaceae in Nepal

description: This dataset was moved to: https://doi.org/10.34725/DVN/IQUVQIPredicting the potential distribution of medicinal plants in response to climate change is essential for their conservation and management. Contributing to the management program, this study aimed to predict the distribution of two threatened medicinal plants, Fritillaria cirrhosa and Lilium nepalense. The location of focal species gathered from herbarium specimen housed in different herbaria and online databases were geo-referenced and checked for spatial autocorrelation. The predictive environmental variables were selected, and MaxEnt software was used to model the current and future distributions of focal species. Four Representative Concentration Pathway (RCP) trajectories of the BCC-CSM1.1 model were used as the future (2050) projection layer. The MaxEnt modelling delineated the potential distribution of F. cirrhosa and L. nepalense. The current suitability is projected towards Central and Eastern Hilly/Mountainous regions. Both species gain maximum suitability in RCP 4.5 which decline towards other trajectories for L. nepalense. Overall, both the focal species shift towards the north-west, losing their potential habitat in hilly and lower mountainous regions by 2050 across all trajectories. Our results highlight the impact of future climate change on two threatened and valuable species. The results can be further useful to initiate farming of these medicinally and economically important species based on climatically suitable zone and for designing a germplasm conservation strategy.
DOI: 10.7910/dvn/ivv0q9
title: Replication Data for: Propagation of Native Tree Species to Restore Subtropical Evergreen Broad-Leaved Forests in SW China

description: This dataset was moved to: https://doi.org/10.34725/DVN/IVV0Q9Subtropical evergreen broad-leaved forest (EBLF) is a widespread vegetation type throughout East Asia that has suffered extensive deforestation and fragmentation. Selection and successful propagation of native tree species are important for improving ecological restoration of these forests. We carried out a series of experiments to study the propagation requirements of indigenous subtropical tree species in Southwest China. Seeds of 21 tree species collected from the natural forest were materials for the experiment. This paper examines the seed germination and seedling growth performance of these species in a nursery environment. Germination percentages ranged from 41% to 96% and were ≥50% for 19 species. The median length of germination time (MLG) ranged from 24 days for Padus wilsonii to 144 days for Ilex polyneura. Fifteen species can reach the transplant size (≥15 cm in height) within 12 months of seed collection. Nursery-grown seedlings for each species were planted in degraded site. Two years after planting, the seedling survival rate was &gt;50% in 18 species and &gt;80% in 12 species. Based on these results, 17 species were recommended as appropriate species for nursery production in forest restoration projects. Our study contributes additional knowledge regarding the propagation techniques for various native subtropical tree species in nurseries for forest restoration.
DOI: 10.7910/dvn/rxala0
title: Replication Data for: Suitability Analysis and Projected Climate Change Impact on Banana and Coffee Production Zones in Nepal

description: This dataset was moved to: https://doi.org/10.34725/DVN/RXALA0- The study shows how climate change could shift future crop production areas - Suitable areas for coffee in Nepal could decline by 72 percent - Banana is seen as a more sustainable crop in the context of climate change
DOI: 10.7910/dvn/u90k15
title: Replication Data for: Distribution and in situ conservation of a relic Chinese oil woody species Xanthoceras sorbifolium (Yellowhorn)

description: This dataset was moved to: https://doi.org/10.34725/DVN/U90K15To understand the contemporary and anticipated future (future 30–50 years) distribution of Chinese wild yellowhorn (Xanthoceras sorbifolium Bunge) and to improve the species’ in situ conservation strategy within the network of China’s National Nature Reserves (NNR), we used BiodiversityR to predict the species’ distribution utilizing the “always-suitable” map concept. We then delineated the always-suitable distributions with the existing NNRs to identify potential conservation areas using an approach that concurrently considered spatial distribution, gap analysis, the role of climate change, and economic analyses. Seven bioclimatic variable predictors and 12 environmental niche modelling submodels successfully contributed to the final model assembly (AUC = 0.916, = 0.398). The species range delineation indicated that 71 of the 427 NNRs were included in the always-suitable area, accounting for 26 007 km2 (1.58%) of the species total distribution. This mapping endeavour highlighted the negative impact of climate change with a projected 15%–20% habitat decline and expected species’ distribution centers shifting from the country’s northwest to the southeast. Our results predict the continuous deterioration of X. sorbifolium because of its existing utilization as an oil source and its increased bioenergy potential. The adoption of a flexible management strategy embracing acceptable trade-offs between conservation and utilization within China’s NNRs could effectively alleviate the expected species decline.