cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.8870432
title: <i>Coccomyxa cimbrica</i> sp. nov., a green microalga found in association with carnivorous plants of the genus <i>Drosera</i> L.

description: <i>Coccomyxa</i> Schmidle (Trebouxiophyceae, Chlorophyta) is a genus of green microalgae that has worldwide distribution, with representatives found in a broad range of terrestrial and aquatic ecosystems. Members of this taxon can be free-living and/or associated with other organisms, establishing different types of relationships (e.g. parasitic, symbiotic). The most frequent organisms forming associations with <i>Coccomyxa</i> are fungi and marine animals, most importantly mussels. Moreover, there is a well-documented association between a <i>Coccomyxa</i> strain and <i>Gingko biloba</i> and some <i>Coccomyxa</i>-like microalgae have been found in the bark of other trees. Here we describe a green algal strain found in association with carnivorous plants of the genus <i>Drosera</i> L. The systematics of <i>Coccomyxa</i> based only on classical methods is problematic, due to the very simple morphology of the genus and its high phenotypic plasticity. Therefore, the microalga associated with <i>Drosera</i> plants was isolated, maintained in culture and subjected to an integrative taxonomy approach, including morphological, ultrastructural and molecular analyses, along with ecological considerations. Phylogenetic reconstructions based on the <i>rbc</i>L and 18S rRNA genes and molecular data obtained from the ITS2 spacer, including both sequence and secondary structure analyses, showed that the investigated microorganism belonged to a lineage distinct from those sequenced so far. An accurate taxonomic comparison between the microalga associated with <i>Drosera</i> and each of the species already described for the genus <i>Coccomyxa</i> was also carried out, considering morphology, ultrastructure and ecology. The results as a whole allowed us to erect a new species inside the genus <i>Coccomyxa: Coccomyxa cimbrica</i> K.Sciuto, B.Baldan & I.Moro
DOI: 10.6084/m9.figshare.8870432.v1
title: <i>Coccomyxa cimbrica</i> sp. nov., a green microalga found in association with carnivorous plants of the genus <i>Drosera</i> L.

description: <i>Coccomyxa</i> Schmidle (Trebouxiophyceae, Chlorophyta) is a genus of green microalgae that has worldwide distribution, with representatives found in a broad range of terrestrial and aquatic ecosystems. Members of this taxon can be free-living and/or associated with other organisms, establishing different types of relationships (e.g. parasitic, symbiotic). The most frequent organisms forming associations with <i>Coccomyxa</i> are fungi and marine animals, most importantly mussels. Moreover, there is a well-documented association between a <i>Coccomyxa</i> strain and <i>Gingko biloba</i> and some <i>Coccomyxa</i>-like microalgae have been found in the bark of other trees. Here we describe a green algal strain found in association with carnivorous plants of the genus <i>Drosera</i> L. The systematics of <i>Coccomyxa</i> based only on classical methods is problematic, due to the very simple morphology of the genus and its high phenotypic plasticity. Therefore, the microalga associated with <i>Drosera</i> plants was isolated, maintained in culture and subjected to an integrative taxonomy approach, including morphological, ultrastructural and molecular analyses, along with ecological considerations. Phylogenetic reconstructions based on the <i>rbc</i>L and 18S rRNA genes and molecular data obtained from the ITS2 spacer, including both sequence and secondary structure analyses, showed that the investigated microorganism belonged to a lineage distinct from those sequenced so far. An accurate taxonomic comparison between the microalga associated with <i>Drosera</i> and each of the species already described for the genus <i>Coccomyxa</i> was also carried out, considering morphology, ultrastructure and ecology. The results as a whole allowed us to erect a new species inside the genus <i>Coccomyxa: Coccomyxa cimbrica</i> K.Sciuto, B.Baldan & I.Moro
DOI: 10.6084/m9.figshare.8870330
title: Directional_Predictability

description: Data set corresponding to Becker, Janis, and Christian Leschinski. <i>Directional Predictability of Daily Stock Returns</i>.<br>
DOI: 10.6084/m9.figshare.8870330.v1
title: Directional_Predictability

description: Data set corresponding to Becker, Janis, and Christian Leschinski. <i>Directional Predictability of Daily Stock Returns</i>.<br>
DOI: 10.6084/m9.figshare.8870288
title: Picea glauca masting data across North America

description: The database includes 771 yearly observations of seed production of Picea glauca from year 1950 to 2017, spanning four regions of North America (Alaska, USA; and Yukon, Alberta, and Quebec in Canada).
DOI: 10.17028/rd.lboro.8870180
title: Supplementary information files for "Embodied energy in preventable food manufacturing waste in the United Kingdom"

description: Supplementary files for "Embodied energy in preventable food manufacturing waste in the United Kingdom"<br>Abstract:The food processing and manufacturing industry is the UK’s largest manufacturing sector and consequently a large consumer of natural resources and source of environmental impacts. Considerable research effort has been made to quantify and characterise food waste and energy consumption from the industry, enabling the sector to set targets for reductions which contribute to national targets and the UN Sustainable Development Goal 12.3, and to identify improvement measures to meet the targets. A gap in this research is a detailed estimation of the energy consumption which could automatically be avoided through preventing food waste in food manufacturing. This paper reports research which estimates the energy embodied in preventable manufacturing food waste in the UK using available data for 2014. Whilst the estimate of 106 GW h per year is a tiny proportion of the industry’s annual energy consumption, it is 1.75 percentage points of the main 20% energy efficiency improvement target and over half the contribution expected from energy management measures to improve energy efficiency. Preventing food waste in the factory could therefore also contribute significantly to energy efficiency and climate change targets with no extra effort.<br>
DOI: 10.17028/rd.lboro.8870180.v1
title: Supplementary information files for "Embodied energy in preventable food manufacturing waste in the United Kingdom"

description: Supplementary files for "Embodied energy in preventable food manufacturing waste in the United Kingdom"<br>Abstract:The food processing and manufacturing industry is the UK’s largest manufacturing sector and consequently a large consumer of natural resources and source of environmental impacts. Considerable research effort has been made to quantify and characterise food waste and energy consumption from the industry, enabling the sector to set targets for reductions which contribute to national targets and the UN Sustainable Development Goal 12.3, and to identify improvement measures to meet the targets. A gap in this research is a detailed estimation of the energy consumption which could automatically be avoided through preventing food waste in food manufacturing. This paper reports research which estimates the energy embodied in preventable manufacturing food waste in the UK using available data for 2014. Whilst the estimate of 106 GW h per year is a tiny proportion of the industry’s annual energy consumption, it is 1.75 percentage points of the main 20% energy efficiency improvement target and over half the contribution expected from energy management measures to improve energy efficiency. Preventing food waste in the factory could therefore also contribute significantly to energy efficiency and climate change targets with no extra effort.<br>
DOI: 10.6084/m9.figshare.8870159
title: Effect of Vapor-Phase Surface Acetylation of Japanese Cedar Wood on Fungal Degradation and Dimensional Stability

description: Vapor-phase acetylation of heartwood in Japanese cedar wood (<i>Cryptomeria japonica</i> D. Don) was carried out as a surface acetylation method to elucidate the relationship between the depth of acetylated area and fungal decay resistance. The acetylated wood (VPAW), prepared with acetic anhydride vapor by heating at 80°C for 72 h, indicated a significant fungal decay resistance and dimensional stability in water-soaking test, similar to liquid-phase acetylated wood (LPAW). The VPAW provided more than 15% of the weight percent gain (WPG) up to a depth of 7 mm from the wood surface, while LPAW gave ∼20% WPG uniformly throughout the wood. However, 24-h vapor-phase acetylation, giving 15% WPG at a depth of 0–2 mm, showed insufficient fungal decay resistance. These results showed that at least 7 mm thickness of the acetylated region with 15% WPG was required to suppress the fungal decay of acetylated wood under laboratory conditions.
DOI: 10.6084/m9.figshare.8870159.v1
title: Effect of Vapor-Phase Surface Acetylation of Japanese Cedar Wood on Fungal Degradation and Dimensional Stability

description: Vapor-phase acetylation of heartwood in Japanese cedar wood (<i>Cryptomeria japonica</i> D. Don) was carried out as a surface acetylation method to elucidate the relationship between the depth of acetylated area and fungal decay resistance. The acetylated wood (VPAW), prepared with acetic anhydride vapor by heating at 80°C for 72 h, indicated a significant fungal decay resistance and dimensional stability in water-soaking test, similar to liquid-phase acetylated wood (LPAW). The VPAW provided more than 15% of the weight percent gain (WPG) up to a depth of 7 mm from the wood surface, while LPAW gave ∼20% WPG uniformly throughout the wood. However, 24-h vapor-phase acetylation, giving 15% WPG at a depth of 0–2 mm, showed insufficient fungal decay resistance. These results showed that at least 7 mm thickness of the acetylated region with 15% WPG was required to suppress the fungal decay of acetylated wood under laboratory conditions.
DOI: 10.6084/m9.figshare.8870144
title: RDA Publisher Forum - Chemistry Journal Data Submission and Sharing Policies Checklist 2017

description: This "Chemistry Journal Data Submission and Sharing Policies Checklist" was created in March 2017 for a Research Data Alliance (RDA) Publisher Forum at the 253rd American Chemical Society Meeting in San Francisco, CA. The Forum was sponsored by RDA and ACS Publications.<br>The chemical data journal policies checklist led to an observation suggesting an increased desire and requirement to share machine-readable spectral data within the chemistry community. Moreover, several publishers were already accepting machine-readable chemical structures. These conversations continued and helped lead to a follow-up discussion and workshop sponsored by NSF entitled: "FAIR Publishing Guidelines for Spectral Data and Chemical Structures." See the Open Science Framework link in the References section for more information.
DOI: 10.6084/m9.figshare.8870095
title: PrimerMap output

description: Files contains results for in-silico PCR<br>
DOI: 10.6084/m9.figshare.8870053
title: Extended data on the study 'Levels of Mercury in Nile tilapia (Oreochromis niloticus), water, and sediment in the gold mining belt of Migori, Kenya, and the potential ramifications to human health' by Kola et al

description: This data represents <br>1. The ethical approval form of the biosafety, animal use and ethics committee of the University of Nairobi. (Figure S1)<br><br>2. The total number of sediment, water, and fish tissues collected from the ten sites in the study area. (Table S1).<br><br>3. A summary of the reagents and chemicals used in the analysis. (Table S2).<br><br>4. Characteristics of the ecosystems of the fish ponds where water, sediment, and fish were collected. (Table S3).<br><br>5. Overview of the computed data (statistical analysis). Table S4 to Table S15. <br><br>
DOI: 10.6084/m9.figshare.8870053.v1
title: Extended data (BAUEC Ethical approval (University of Nairobi), a summary of the reagents and chemicals used, breakdown of the water, sediment and fish tissues sampled from the study sites, characteristics of the fish pond ecosystem, and statistical analysis)

description: This data represents <br>1. The ethical approval form of the biosafety, animal use and ethics committee of the University of Nairobi.<br>2. A summary of the reagents and chemicals used in the analysis<br>3. A breakdown of the water, sediment and fish tissues sampled from the study sites<br>4. Characteristics of the ecosystems of the fish ponds where water, sediment, and fish were collected<br>5. Overview of the computed data (statistical analysis) <br>
DOI: 10.6084/m9.figshare.8870053.v2
title: Extended data (BAUEC Ethical approval (University of Nairobi), a summary of the reagents and chemicals used, breakdown of the water, sediment and fish tissues sampled from the study sites, characteristics of the fish pond ecosystem, and statistical analysis)

description: This data represents <br>1. The ethical approval form of the biosafety, animal use and ethics committee of the University of Nairobi.<br>2. A summary of the reagents and chemicals used in the analysis<br>3. A breakdown of the water, sediment and fish tissues sampled from the study sites<br>4. Characteristics of the ecosystems of the fish ponds where water, sediment, and fish were collected<br>5. Overview of the computed data (statistical analysis) <br>
DOI: 10.6084/m9.figshare.8870053.v3
title: Extended data (BAUEC Ethical approval (University of Nairobi), a summary of the reagents and chemicals used, breakdown of the water, sediment and fish tissues sampled from the study sites, characteristics of the fish pond ecosystem, and statistical analysis)Extended data for the study on Levels of Mercury in Nile tilapia (Oreochromis niloticus), water and sediment in the Migori gold mining belt and the potential ramifications to human health

description: This data represents <br>1. The ethical approval form of the biosafety, animal use and ethics committee of the University of Nairobi.<br>2. A summary of the reagents and chemicals used in the analysis<br>3. A breakdown of the water, sediment and fish tissues sampled from the study sites<br>4. Characteristics of the ecosystems of the fish ponds where water, sediment, and fish were collected<br>5. Overview of the computed data (statistical analysis) <br>Ethical approval document for the study, a summary of the number of collected samples, reagents and chemicals, characteristics of the ecosystems in the fish ponds, ANOVA of the mean levels of mercury in brain, liver, and muscle tissues, and correlation between levels of mercury in water and sediments and those in fish tissues, and correlation between water pH, water temperature, weight, and age of fish, type of fish culture practiced and the levels of mercury <br>
DOI: 10.6084/m9.figshare.8870006
title: Mapping and clustering the adoption of carbon pricing policies: what polities price carbon and why?

description: Carbon pricing, including carbon taxes and emissions trading, has been adopted by different kinds of polities worldwide. Yet, beyond the increasing adoption over time, little is known about what polities – countries as well as sub- and supranational entities – adopt carbon pricing and why. This paper explores patterns of adoption (both implemented policies and those scheduled to be) through cluster analysis, with the purpose of investigating factors that could explain polities’ decisions to adopt carbon pricing. The study contributes empirically by studying carbon taxes and emissions trading together and by ordering the polities adopting carbon pricing into clusters. It also contributes theoretically, by exploring constellations of variables that drive the adoption of carbon pricing within individual clusters. We investigated 66 adopted policies of carbon pricing, which were divided into five clusters: early adopters, North-American subnational entities, Chinese pilot provinces, second-wave developed polities, and second-wave developing polities. The analysis indicates that the reasons for adopting carbon pricing have shifted over time. While international factors (climate commitments or influences from polities within the same region) are increasingly salient, domestic factors (including crises and income levels) were more important for the early adopters. <b>Key policy insights</b>Carbon pricing has become a global mainstream policy instrument.Economic and fiscal crises provide windows of opportunity for promoting carbon pricing.The international climate regime can support the adoption of carbon pricing through mitigation commitments and international financial and technical assistance.Learning between polities from the same region is a useful tool for promoting carbon pricing.Carbon intensive economies tend to prefer emissions trading over carbon taxes. Carbon pricing has become a global mainstream policy instrument. Economic and fiscal crises provide windows of opportunity for promoting carbon pricing. The international climate regime can support the adoption of carbon pricing through mitigation commitments and international financial and technical assistance. Learning between polities from the same region is a useful tool for promoting carbon pricing. Carbon intensive economies tend to prefer emissions trading over carbon taxes.
DOI: 10.6084/m9.figshare.8869967
title: Underlying data (1) of the study 'Levels of Mercury in Nile tilapia (Oreochromis niloticus), water, and sediment in the Migori gold mining belt, Migori, Kenya, and the potential ramifications to human health by Kola et al

description: The presented data are readings (from the Cold Vapor Atomic Absorption Spectrophotometer) of the total mercury content in fish tissues, sediment, and water sampled from fish farms in the Migori gold mining belt in Kenya. <br>
DOI: 10.6084/m9.figshare.8869964
title: Underlying data (2) on the study 'Levels of Mercury in Nile tilapia (Oreochromis niloticus), water, and sediment in the Migori gold mining belt, Kenya and the potential ramifications to human health by Kola et al

description: Length and weight of fish sampled from fish farms in the Migori gold mining belt<br>
DOI: 10.6084/m9.figshare.8869967.v1
title: Raw data on the total mercury levels in water, sediment and tissues of Nile tilapia in the Migori gold mining belt.xlsx

description: The presented data are readings (from the Cold Vapor Atomic Absorption Spectrophotometer) of the total mercury content in fish tissues, sediment, and water sampled from fish farms in the Migori gold mining belt in Kenya. <br>
DOI: 10.6084/m9.figshare.8869964.v2
title: Underlying data (2) on the study 'Levels of Mercury in Nile tilapia (Oreochromis niloticus), water, and sediment in the Migori gold mining belt, Kenya and the potential ramifications to human health by Kola et al

description: Length and weight of fish sampled from fish farms in the Migori gold mining belt<br>
DOI: 10.6084/m9.figshare.8869964.v1
title: Raw data on the weight and length of fish in the Migori gold mining belt.xlsx

description: Length and weight of fish sampled from fish farms in the Migori gold mining belt<br>
DOI: 10.6084/m9.figshare.8869967.v3
title: Underlying data (1) of the study 'Levels of Mercury in Nile tilapia (Oreochromis niloticus), water, and sediment in the Migori gold mining belt, Migori, Kenya, and the potential ramifications to human health by Kola et al

description: The presented data are readings (from the Cold Vapor Atomic Absorption Spectrophotometer) of the total mercury content in fish tissues, sediment, and water sampled from fish farms in the Migori gold mining belt in Kenya. <br>
DOI: 10.6084/m9.figshare.8869967.v2
title: Underlying data (1) of the study 'Levels of Mercury in Nile tilapia (Oreochromis niloticus), water, and sediment in the Migori gold mining belt, Migori, Kenya, and the potential ramifications to human health

description: The presented data are readings (from the Cold Vapor Atomic Absorption Spectrophotometer) of the total mercury content in fish tissues, sediment, and water sampled from fish farms in the Migori gold mining belt in Kenya. <br>
DOI: 10.6084/m9.figshare.8869910
title: Supplementary Material for: Deep Learning Algorithms for Corneal Amyloid Deposition Quantitation in Familial Amyloidosis

description: <b><i>Objectives:</i></b> The aim of this study was to train and validate deep learning algorithms to quantitate relative amyloid deposition (RAD; mean amyloid deposited area per stromal area) in corneal sections from patients with familial amyloidosis, Finnish (FAF), and assess its relationship with visual acuity. <b><i>Methods:</i></b> Corneal specimens were obtained from 42 patients undergoing penetrating keratoplasty, stained with Congo red, and digitally scanned. Areas of amyloid deposits and areas of stromal tissue were labeled on a pixel level for training and validation. The algorithms were used to quantify RAD in each cornea, and the association of RAD with visual acuity was assessed. <b><i>Results:</i></b> In the validation of the amyloid area classification, sensitivity was 86%, specificity 92%, and F-score 81. For corneal stromal area classification, sensitivity was 74%, specificity 82%, and F-score 73. There was insufficient evidence to demonstrate correlation (Spearman’s rank correlation, –0.264, <i>p</i> = 0.091) between RAD and visual acuity (logMAR). <b><i>Conclusions:</i></b> Deep learning algorithms can achieve a high sensitivity and specificity in pixel-level classification of amyloid and corneal stromal area. Further modeling and development of algorithms to assess earlier stages of deposition from clinical images is necessary to better assess the correlation between amyloid deposition and visual acuity. The method might be applied to corneal dystrophies as well.
DOI: 10.6084/m9.figshare.8869880
title: Database file - Tumor zones

description: Database file, describing the tumor boundaries of the 32 canine mast cell tumors, part of the MITOS_WSI_CCMCT data set.
DOI: 10.6084/m9.figshare.8869877
title: Database file - HEAEL dataset variant (SlideRunner)

description: This database represents a variant of the MITOS_WSI_CCMCT data set. It includes all manually labelled mitotic figures as well as hard examples as defined by human experts based on a cell classifier.
DOI: 10.6084/m9.figshare.8869880.v1
title: Database file - Tumor zones

description: Database file, describing the tumor boundaries of the 32 canine mast cell tumors, part of the MITOS_WSI_CCMCT data set.
DOI: 10.6084/m9.figshare.8869874
title: Database file - HEAEL dataset variant (MS COCO)

description: This database represents a variant of the MITOS_WSI_CCMCT data set. It includes all manually labelled mitotic figures as well as hard examples as defined by human experts based on a cell classifier.
DOI: 10.6084/m9.figshare.8869877.v1
title: Database file - HEAEL dataset variant (SlideRunner)

description: This database represents a variant of the MITOS_WSI_CCMCT data set. It includes all manually labelled mitotic figures as well as hard examples as defined by human experts based on a cell classifier.
DOI: 10.6084/m9.figshare.8869865
title: Database file - ODAEL dataset variant (SlideRunner)

description: This database represents a variant of the MITOS_WSI_CCMCT data set. It includes all manually labelled mitotic figures as well as hard examples as defined by human experts based on a cell classifier and additionally mitotic figures that were found by a deep learning model and assessed by two experts.
DOI: 10.6084/m9.figshare.8869868
title: Database file - MEL dataset variant (SlideRunner)

description: This database represents a variant of the MITOS_WSI_CCMCT data set. It includes all manually labelled mitotic figures.
DOI: 10.6084/m9.figshare.8869871
title: Database file - ODAEL dataset variant (MS COCO)

description: This database represents a variant of the MITOS_WSI_CCMCT data set. It includes all manually labelled mitotic figures as well as hard examples as defined by human experts based on a cell classifier and additionally mitotic figures that were found by a deep learning model and assessed by two experts.