cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14983668.v1
title: Data from: Comparing opportunistic and strategic removal efforts to manage invasive fish species using a dynamic multi-state occupancy model.

description: Data from: Comparing opportunistic and strategic removal efforts to manage invasive fish species using a dynamic multi-state occupancy model<br>Corresponding publication: Rogosch, J.S., and J.D. Olden (2021). Comparing opportunistic and strategic removal efforts to manage invasive fish species using a dynamic multi-state occupancy model. Journal of Applied Ecology. doi: 10.1111/1365-2664.14012<br>Contact information: olden@uw.edu (please notify the author of any anomaly in the dataset)<br>Created: 07/14/2021<br>Last updated: 09/03/2021<br>Purpose: We applied a novel dynamic co-occurrence model to evaluate nonnative fish removal efforts across the Lower Colorado River Basin (United States), while accounting for potential interspecific species interactions and variable hydrologic regimes. We examined the co-occurrence of two native fishes of conservation concern and two other representative fishes of endemic assemblages, each paired with a nonnative species hypothesized to have negative interactions with the focal native species. <br>
DOI: 10.25318/3610059001-fra
title: Comptes économiques répartis pour le secteur des ménages, indicateurs du patrimoine, Canada, régions et provinces, annuel, inactif

description: Ce tableau contient des données telles que décrites par les dimensions suivantes (Les combinaisons ne sont pas toutes disponibles) : Géographie (13 éléments : Canada; Région de l'Atlantique; Terre-Neuve-et-Labrador; Île-du-Prince-Édouard; ...) ; Caractéristiques (1 élément : Tous les ménages) ; Indicateurs de la valeur nette (patrimoine) (17 éléments : Total, actifs financiers en proportion du total de l'actif; Assurance-vie et rentes en proportion du total de l'actif; Autres éléments d'actifs financiers en proportion du total de l'actif; Total des actifs non financiers en proportion du total de l'actif; ...).
DOI: 10.25318/3610059001-eng
title: Distributions of household economic accounts, wealth indicators, Canada, regions and provinces, annual, inactive

description: This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Atlantic Region; Newfoundland and Labrador; Prince Edward Island; ...);  Characteristics (1 item: All households);  Net worth indicators (wealth) (17 items: Financial assets as a share of total assets; Life insurance and pensions as a share of total assets; Other financial assets as a share of total assets; Non-financial assets as a share of total assets; ...).
DOI: 10.6084/m9.figshare.16567554
title: DATA2

description: Second data set belonging to the article: ASSOCIATION OF FLOWER COLOR WITH POLLEN REWARD MAY EXPLAIN INCREASED BUMBLEBEE VISITATION TO THE SCOTCH BROOM YELLOW MORPH
DOI: 10.6084/m9.figshare.16567554.v1
title: DATA2

description: Second data set belonging to the article: ASSOCIATION OF FLOWER COLOR WITH POLLEN REWARD MAY EXPLAIN INCREASED BUMBLEBEE VISITATION TO THE SCOTCH BROOM YELLOW MORPH
DOI: 10.5517/ccdc.csd.cc27t8jw
title: CCDC 2079868: Experimental Crystal Structure Determination

description: Related Article: Zhi-Qiang Wang, Ling-Zhi Sun, Xiao-Nan Kuang, Yan-Lei Lu, Ying-Yu Li, Yu-Ping Yang, Jian-Ming Liu, Yun-Yin Niu, Qiong-Hua Jin|2022|Environ.Res.|203|111873|doi:10.1016/j.envres.2021.111873
DOI: 10.6084/m9.figshare.16566804.v1
title: sub-34.rar

description: sub-34
DOI: 10.6084/m9.figshare.16566804
title: sub-34.rar

description: sub-34
DOI: 10.5517/ccdc.csd.cc27t8kx
title: CCDC 2079869: Experimental Crystal Structure Determination

description: Related Article: Zhi-Qiang Wang, Ling-Zhi Sun, Xiao-Nan Kuang, Yan-Lei Lu, Ying-Yu Li, Yu-Ping Yang, Jian-Ming Liu, Yun-Yin Niu, Qiong-Hua Jin|2022|Environ.Res.|203|111873|doi:10.1016/j.envres.2021.111873
DOI: 10.5517/ccdc.csd.cc27t8ly
title: CCDC 2079870: Experimental Crystal Structure Determination

description: Related Article: Zhi-Qiang Wang, Ling-Zhi Sun, Xiao-Nan Kuang, Yan-Lei Lu, Ying-Yu Li, Yu-Ping Yang, Jian-Ming Liu, Yun-Yin Niu, Qiong-Hua Jin|2022|Environ.Res.|203|111873|doi:10.1016/j.envres.2021.111873
DOI: 10.5517/ccdc.csd.cc27t8mz
title: CCDC 2079871: Experimental Crystal Structure Determination

description: Related Article: Zhi-Qiang Wang, Ling-Zhi Sun, Xiao-Nan Kuang, Yan-Lei Lu, Ying-Yu Li, Yu-Ping Yang, Jian-Ming Liu, Yun-Yin Niu, Qiong-Hua Jin|2022|Environ.Res.|203|111873|doi:10.1016/j.envres.2021.111873
DOI: 10.5517/ccdc.csd.cc27t8n0
title: CCDC 2079872: Experimental Crystal Structure Determination

description: Related Article: Zhi-Qiang Wang, Ling-Zhi Sun, Xiao-Nan Kuang, Yan-Lei Lu, Ying-Yu Li, Yu-Ping Yang, Jian-Ming Liu, Yun-Yin Niu, Qiong-Hua Jin|2022|Environ.Res.|203|111873|doi:10.1016/j.envres.2021.111873
DOI: 10.5517/ccdc.csd.cc27t8p1
title: CCDC 2079873: Experimental Crystal Structure Determination

description: Related Article: Zhi-Qiang Wang, Ling-Zhi Sun, Xiao-Nan Kuang, Yan-Lei Lu, Ying-Yu Li, Yu-Ping Yang, Jian-Ming Liu, Yun-Yin Niu, Qiong-Hua Jin|2022|Environ.Res.|203|111873|doi:10.1016/j.envres.2021.111873
DOI: 10.5517/ccdc.csd.cc27t8q2
title: CCDC 2079874: Experimental Crystal Structure Determination

description: Related Article: Zhi-Qiang Wang, Ling-Zhi Sun, Xiao-Nan Kuang, Yan-Lei Lu, Ying-Yu Li, Yu-Ping Yang, Jian-Ming Liu, Yun-Yin Niu, Qiong-Hua Jin|2022|Environ.Res.|203|111873|doi:10.1016/j.envres.2021.111873
DOI: 10.6084/m9.figshare.16566807
title: sub-35.rar

description: sub-35
DOI: 10.6084/m9.figshare.16566807.v1
title: sub-35.rar

description: sub-35
DOI: 10.6084/m9.figshare.14342418.v1
title: Occurrence and impact of fungicides residues on fermentation during wine production– A review

description: Continuous fungicide spraying is required to eliminate fungal pathogens on grapes. However, this practice is associated with several risks, including contamination and environmental imbalance, as well as toxicity to operators and the induction of resistance in pathogens. In addition, a strong correlation has been reported between the presence of fungicides and the occurrence of issues during alcoholic fermentation, resulting in negative impacts on the sensory quality of the final products. Numerous studies have evaluated residue concentrations of phytosanitary products in grapes, juices, and wines, and a significant number of studies have assessed the impact of different agrochemicals on bioprocesses. However, a review compiling the key results of these studies is currently lacking. This review incorporates results obtained in the last decade from research on the presence of fungicide residues, including azoxystrobin, boscalid, captan, copper, fenhexamid, folpet, pyraclostrobin, pyrimethanil and tebuconazole, and their effects on fermentation kinetics. Practical solutions to mitigate these problems, both in vineyards and industry, are also presented and discussed. This review highlights the constant high fungicidal agent concentrations (greater than 1 or 2 mg L<sup>−1</sup>) used throughout the winemaking process, with the impact of residues being of particular concern, especially with regard to their effect on yeast activity and the fermentation process. Thus, the adoption of methodologies that allow winemakers to control and trace these residues is an important step in avoiding or reducing fermentation problems throughout the winemaking process.
DOI: 10.6084/m9.figshare.14371696
title: Development of a new and sensitive method for the detection of pork adulteration in gelatin and other highly processed food products

description: Porcine adulteration has become a major concern amongst communities including Muslims and Jews. Reliable detection of the presence of porcine DNA in gelatin and highly processed food samples is essential for Halal and kosher food control. In this study, a forensic approach involving DNA isolation and real-time polymerase chain reaction (PCR) was performed to detect the presence of porcine DNA in commercial gelatin and processed foods containing porcine by-products. The method was compared with commercially sensitive porcine DNA detection kits (Biotecon and R-Biopharm) which are commonly used in food control laboratories for Halal and kosher authentication. The results indicated that a newly developed method called TübiGel was at least 10 times more sensitive for porcine DNA detection. The TübiGel method was found to have a detection limit of 0.01% porcine gelatin, whilst the Biotecon method had 0.1% and R-Biopharm method detected &gt;5% porcine gelatin. The forensic DNA isolation approach of the TübiGel method was found to be a critical step. In addition, real-time PCR of TübiGel method was also found to detect porcine DNA better than real-time PCR of commercial kits.
DOI: 10.6084/m9.figshare.14371696.v1
title: Development of a new and sensitive method for the detection of pork adulteration in gelatin and other highly processed food products

description: Porcine adulteration has become a major concern amongst communities including Muslims and Jews. Reliable detection of the presence of porcine DNA in gelatin and highly processed food samples is essential for Halal and kosher food control. In this study, a forensic approach involving DNA isolation and real-time polymerase chain reaction (PCR) was performed to detect the presence of porcine DNA in commercial gelatin and processed foods containing porcine by-products. The method was compared with commercially sensitive porcine DNA detection kits (Biotecon and R-Biopharm) which are commonly used in food control laboratories for Halal and kosher authentication. The results indicated that a newly developed method called TübiGel was at least 10 times more sensitive for porcine DNA detection. The TübiGel method was found to have a detection limit of 0.01% porcine gelatin, whilst the Biotecon method had 0.1% and R-Biopharm method detected &gt;5% porcine gelatin. The forensic DNA isolation approach of the TübiGel method was found to be a critical step. In addition, real-time PCR of TübiGel method was also found to detect porcine DNA better than real-time PCR of commercial kits.
DOI: 10.6084/m9.figshare.14342418
title: Occurrence and impact of fungicides residues on fermentation during wine production– A review

description: Continuous fungicide spraying is required to eliminate fungal pathogens on grapes. However, this practice is associated with several risks, including contamination and environmental imbalance, as well as toxicity to operators and the induction of resistance in pathogens. In addition, a strong correlation has been reported between the presence of fungicides and the occurrence of issues during alcoholic fermentation, resulting in negative impacts on the sensory quality of the final products. Numerous studies have evaluated residue concentrations of phytosanitary products in grapes, juices, and wines, and a significant number of studies have assessed the impact of different agrochemicals on bioprocesses. However, a review compiling the key results of these studies is currently lacking. This review incorporates results obtained in the last decade from research on the presence of fungicide residues, including azoxystrobin, boscalid, captan, copper, fenhexamid, folpet, pyraclostrobin, pyrimethanil and tebuconazole, and their effects on fermentation kinetics. Practical solutions to mitigate these problems, both in vineyards and industry, are also presented and discussed. This review highlights the constant high fungicidal agent concentrations (greater than 1 or 2 mg L<sup>−1</sup>) used throughout the winemaking process, with the impact of residues being of particular concern, especially with regard to their effect on yeast activity and the fermentation process. Thus, the adoption of methodologies that allow winemakers to control and trace these residues is an important step in avoiding or reducing fermentation problems throughout the winemaking process.
DOI: 10.6084/m9.figshare.14438811
title: High resolution mass spectrometry workflow for the analysis of food contaminants: Application to plant toxins, mycotoxins and phytoestrogens in plant-based ingredients

description: An analytical workflow including mass spectral library, generic sample preparation, chromatographic separation, and analysis by high-resolution mass spectrometry (HRMS) was developed to gain insight into the occurrence of plant toxins, mycotoxins and phytoestrogens in plant-based food. This workflow was applied to 156 compounds including 90 plant toxins (pyrrolizidine alkaloids, tropane alkaloids, glycoalkaloids, isoquinoline alkaloids and aristolochic acids), 54 mycotoxins (including ergot alkaloids and <i>Alternaria</i> toxins) and 12 phytoestrogens (including isoflavones, lignans and coumestan) in plant-based protein ingredients, cereal and pseudo-cereal products. A mass spectral library was built based on fragmentation spectra collected at 10 different collision energies in both positive and negative ionisation modes for each toxin. Emphasis was put on a generic QuEChERS-like sample preparation followed by ultra-high-pressure liquid chromatography using alkaline mobile phase allowing the separation of more than 50 toxic pyrrolizidine alkaloids. HRMS acquisition comprised a full-scan event for toxins detection followed by data-dependent MS2 for toxin identification against mass spectrum. Method performance was evaluated using fortified samples in terms of sensitivity, repeatability, reproducibility and recovery. All toxins were positively identified at levels ranging from 1 µg kg<sup>−1</sup> to 100 µg kg<sup>−1</sup>. Quantitative results obtained by a standard addition approach met SANTE/12682/2019 criteria for 132 out of 156 toxins. Such a workflow using generic, sensitive and selective multi-residue method allows a better insight into the occurrence of regulated and non-regulated toxins in plant-based foods and to conduct safety evaluation and risk assessments when needed.
DOI: 10.6084/m9.figshare.14438811.v1
title: High resolution mass spectrometry workflow for the analysis of food contaminants: Application to plant toxins, mycotoxins and phytoestrogens in plant-based ingredients

description: An analytical workflow including mass spectral library, generic sample preparation, chromatographic separation, and analysis by high-resolution mass spectrometry (HRMS) was developed to gain insight into the occurrence of plant toxins, mycotoxins and phytoestrogens in plant-based food. This workflow was applied to 156 compounds including 90 plant toxins (pyrrolizidine alkaloids, tropane alkaloids, glycoalkaloids, isoquinoline alkaloids and aristolochic acids), 54 mycotoxins (including ergot alkaloids and <i>Alternaria</i> toxins) and 12 phytoestrogens (including isoflavones, lignans and coumestan) in plant-based protein ingredients, cereal and pseudo-cereal products. A mass spectral library was built based on fragmentation spectra collected at 10 different collision energies in both positive and negative ionisation modes for each toxin. Emphasis was put on a generic QuEChERS-like sample preparation followed by ultra-high-pressure liquid chromatography using alkaline mobile phase allowing the separation of more than 50 toxic pyrrolizidine alkaloids. HRMS acquisition comprised a full-scan event for toxins detection followed by data-dependent MS2 for toxin identification against mass spectrum. Method performance was evaluated using fortified samples in terms of sensitivity, repeatability, reproducibility and recovery. All toxins were positively identified at levels ranging from 1 µg kg<sup>−1</sup> to 100 µg kg<sup>−1</sup>. Quantitative results obtained by a standard addition approach met SANTE/12682/2019 criteria for 132 out of 156 toxins. Such a workflow using generic, sensitive and selective multi-residue method allows a better insight into the occurrence of regulated and non-regulated toxins in plant-based foods and to conduct safety evaluation and risk assessments when needed.
DOI: 10.15468/u7ccry
title: Woody vegetation under industrial pollution (Southern Urals, Russia): modifying influence of habitat conditions

description: The dataset includes the results of an assessment of the woody vegetation biomass at seven habitats (pine, birch, and floodplain forests, reed swamp, sparse birch stand, marshy meadow, and dump of household waste) of areas with different levels of industrial pollution in vicinities of the Karabash, the Southern Urals. Karabash Copper Smelter (KCS) is one of Russia’s most significant point polluters; the main components of its emissions are heavy metals, dust, and sulfur dioxide. Parameters of woody vegetation (diameter at breast height, diameter at root collar level, and biomass) were estimated for seven forest elements (forest stand, subcanopy, half-dead tree of a forest stand, and four types of coarse woody debris (deadwood, fragment of deadwood, dead-standing tree, and stump)) at 41 sampling plots (20 at non-polluted and 21 at polluted areas) and 165 subplots (81 and 84 respectively). The dataset includes 411 sampling events (estimation events of the forest elements at sampling plots and subplots), corresponding to 5 786 occurrences (estimations of the woody vegetation components) observed during July 2012. For most woody vegetation components (84%), an estimate of the aboveground phytomass is given. For each sampling event, information on the presence or absence of woody vegetation species at the considered habitats is provided. The dataset can be used for environmental monitoring, sustainable forest management, modeling forest productivity considering global changes, studying the structure and biodiversity of forest cover, and assessing forests’ carbon-sequestration capacity. In addition, the dataset provides information about different forest ecosystems under the influence of strong industrial pollution.
DOI: 10.6073/pasta/290994fcc403d9e512f7288abb09f2e0
title: Tree Ring Data from the Harvard Forest EMS Tower 1896-2014

description: Is it possible to reconstruct aboveground carbon/biomass from tree rings? If so, how far back in time can researchers go when using tree-ring data in the reconstruction of past biomass? Answers to these questions will have a significant impact on our understanding of dynamics in the terrestrial carbon sink. Long tree-ring records of biomass can reveal intra-annual to annual to multidecadal variations that cannot be resolved by forest census data that is not conducted annually. Additionally, while these dynamics might be resolved using remote sensing, most remotely-sensed products are only two decades or less in length. By having long records of carbon biomass, we can then identify not only the dominant drivers of biomass, but how the importance of these drivers might change during different eras as environmental factors change (e.g., climate, air pollution, disturbance). To test these and other questions, we collected tree-ring records from two 20m radius plots set within the footprint of the EMS tower plot at the Harvard Forest installed and continuously operated since 1989. We can convert these data to biomass using allometric equations and compare tree-ring inferred aboveground biomass to the census data going back in time. Dye et al. (2016) have shown that these data fall within the range of uncertainty of census data sampled in the Harvard Forest Lyford plot going back to 1969. Dye, A., Barker Plotkin, A., Bishop, D., Pederson, N., Poulter, B., Hessl, A. 2016. Comparing tree-ring and permanent plot estimates of aboveground net primary production in three eastern U.S. forests. Ecosphere 7: e01454.
DOI: 10.6073/pasta/9a219f9767fdd4ea4db3c4504a94c91a
title: Tree Ring Data from Goose Egg State Forest NY 1681-2014

description: Is it possible to reconstruct aboveground carbon/biomass from tree rings? If so, how far back in time can researchers go when using tree-ring data in the reconstruction of past biomass? Answers to these questions will have a significant impact on our understanding of dynamics in the terrestrial carbon sink. Long tree-ring records of biomass can reveal intra-annual to annual to multidecadal variations that cannot be resolved by forest census data that is not conducted at annual time steps. Additionally, while these dynamics might be resolved using remote sensing, most remotely-sensed products are only two decades or less in length. By having long records of carbon biomass, we can then identify not only the dominant drivers of biomass, but how the importance of these drivers might change during different eras as environmental factors change (e.g., climate, air pollution, disturbance). To test these and other questions, we collected tree-ring records from three 30m radius plots set in Goose Egg State Forest in New York State. We chose this location because it has old oak dominated forests that can be compared to the long-term forests being studied for carbon dynamics at the Harvard Forest. We can convert these data to biomass using allometric equations and compare tree-ring inferred aboveground biomass to the census data going back in time to understand forest recovery and carbon dynamics in a heavily disturbance forest. Recruitment dates for some of the trees from these plots have been published in Pederson et al. (2017). Pederson, N., Young, A. B., Stan, A. B., Ariya, U., Martin-Benito, D. 2017. Low-Hanging DendroDynamic Fruits Regarding Disturbance in Temperate, Mesic Forests. In: Amoroso, M. M., Daniels, L. D., Baker, P. J., Camarero, J. J., Dendroecology: Tree-Ring Analyses Applied to Ecological Studies, Springer, Cham., Switzerland.
DOI: 10.6073/pasta/553950a21d16e425d095c1bbe8845ec8
title: Tree Ring Data from North Round Pond in Pisgah State Forest NH 1754-2015

description: Is it possible to reconstruct aboveground carbon/biomass from tree rings? If so, how far back in time can researchers go when using tree-ring data in the reconstruction of past biomass? Answers to these questions will have a significant impact on our understanding of dynamics in the terrestrial carbon sink. Long tree-ring records of biomass can reveal intra-annual to annual to multidecadal variations that cannot be resolved by forest census data that is not conducted at annual time steps. Additionally, while these dynamics might be resolved using remote sensing, most remotely-sensed products are only two decades or less in length. By having long records of carbon biomass, we can then identify not only the dominant drivers of biomass, but how the importance of these drivers might change during different eras as environmental factors change (e.g., climate, air pollution, disturbance). To test these and other questions, we collected tree-ring records from four 30m radius plots set in the vicinity of North Round Pond in Pisgah State Forest, New Hampshire. Two plots are set in broadleaf-dominated forests while two are set in oak-mixed conifer dominated forests. We can convert these data to biomass using allometric equations and compare tree-ring inferred aboveground biomass to the census data going back in time. While a strong hurricane in September 1938 knocked down 80% of a stand ca 3.5 km SSE of these stands and the stands in the vicinity of the North Round Pond are set on N- and NW-facing slopes, and thus potentially shielded by the strong tropical winds, they, too, were disturbed by the hurricane of 1938. However, there are some very old trees and patches of trees in this landscape, while, at the same time, we suspect some logging impacted parts of some of these plots in the 1960s, like in North Round Pond Plot 1. The forest stands have since regrown and the plots we installed can be used to understand forest recovery and carbon dynamics in a heavily disturbance forest. Recruitment dates for some of the trees from these plots have been published in Pederson et al. (2017). Pederson, N., Young, A. B., Stan, A. B., Ariya, U., Martin-Benito, D. 2017. Low-Hanging DendroDynamic Fruits Regarding Disturbance in Temperate, Mesic Forests. In: Amoroso, M. M., Daniels, L. D., Baker, P. J., Camarero, J. J., Dendroecology: Tree-Ring Analyses Applied to Ecological Studies, Springer, Cham., Switzerland.