cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5683/sp2/ajlj91
title: Synthetic Contour Fragments

description: Data set contains contours composed of co-aligned Gabor (contour) fragments embedded in a sea of similar but randomly oriented (background) fragments. Contours differ in the location, length (number of fragments), inter-fragment rotation and the Gabor fragments used in their construction. 64 Gabors Fragments, contours lengths of [1, 3, 5, 7, 9], beta rotations of 0, +-15 degrees are included. The dataset contains 64,000 training and 6,400 validation images. Images are all 256x256 pixels. Each image is divided into a grid of 14x14 pixels. Each grid square contains a 7x7 Gabor fragment. The center of middle square tile is aligned with the image center. This results in a binary label of size 19x19 of whether a grid square contains the center of a contour fragment.
DOI: 10.5683/sp2/ohp1lc
title: Archival maps of the Pictou Landing site

description: Historical maps for the PIctou Landing site
DOI: 10.5683/sp2/1gclqd
title: Marshalls Crossing Shoreline Classification

description: Entire data set for Shoreline Classification completed at Marshall's Crossing, Nova Scotia. Contains: write up in PDF format, raw data in .shp and .csv format, and images in .jpg format.
DOI: 10.5683/sp2/br3gs1
title: Tidal Barrier Audits

description: PDF versions of Tidal Barrier Audits undertaken by Clean between May 2018 and December 2019
DOI: 10.5683/sp2/urkx5s
title: Water Level Logger Data

description: Water Level Logger data collected by the Clean Foundation.
DOI: 10.5683/sp2/ubhes4
title: Fish Sampling

description: A summary of the raw fish data collected during the summer of 2019
DOI: 10.5683/sp2/ed0foj
title: Rod Sediment Elevation Table Data

description: A summary of the RSET data collected by Clean in the summer of 2019
DOI: 10.5683/sp2/j8581n
title: Water Level Logger Graphs

description: Resulting graphs from water level logger data collected by clean between May 2018 and December of 2019
DOI: 10.5683/sp2/7p1iey
title: Locator Maps

description: Locator maps for sites investigated by the Clean Foundation between May 2018 and December 2019
DOI: 10.5683/sp2/x2301w
title: MC Drone Flight Orthomosaic Pre-Restoration

description: Orthomosaic derived from the drone at Marshall's Crossing pre-restoration,
DOI: 10.5683/sp2/4zcjle
title: MC Drone Flight DSM Pre-Restoration

description: DSM derived form drone flight at Marshall's Crossing pre-restoration
DOI: 10.5683/sp2/1qb2l1
title: Desktop Analysis of Salt Marshes with Potential Tidal Restriction

description: Potential tidally restricted salt marshes identified through Clean's desktop analysis of the Northumberland Strait
DOI: 10.5683/sp2/dtj9pr
title: Baseline Monitoring of Salt Marshes to Quantify Tidal Restriction

description: Baseline Monitoring of salt marshes along the Northumberland Strait to quantify tidal restriction
DOI: 10.5683/sp2/b03c18
title: Tidal Barrier Audits Locations

description: A shape file showing the locations of the tidal barrier audits performed by Clean between 2018 and 2019
DOI: 10.5683/sp2/7gcikb
title: Water Level Loggers Locations

description: Shapefiles showing the locations and elevations at which water level loggers were deployed by Clean
DOI: 10.5683/sp2/eurywi
title: Clean Salt Marsh Inventory Reports by County

description: A summary report of all the sites visited by Clean between 2018 and 2019.
DOI: 10.5683/sp2/2ewgpu
title: MC Drone Flight Orthomosaic Post-Restoration

description: MC Drone Flight DSM Post-Restoration
DOI: 10.5683/sp2/uaa5px
title: MC Drone Flight DSM Post-Restoration

description: MC Drone Flight DSM Post-Restoration
DOI: 10.5683/sp2/i0e3p1
title: MC Reference Site Drone Flight DSM

description: DSM from the Marshall's Crossing Reference site drone flight in 2019
DOI: 10.5683/sp2/4tmmcz
title: MC Reference Site Drone Flight Orthomosaic

description: Marshall's Crossing Reference Site Drone Flight Orthomosaic
DOI: 10.5683/sp2/2ebggh
title: Clean RTK Survey Point 2019

description: Find .csv and .htm report files summarizing all points measured by Clean in 2019. Files are sorted by different jobs. Code definition file included as a csv. Horizontal and vertical Error measures are found in the .htm report.
DOI: 10.5683/sp2/9fyleo
title: Ferguson's Cove Drone Flight DSM

description: Ferguson's Cove Drone Flight DSM. Error Report included as a .pdf file.
DOI: 10.5683/sp2/mx7grj
title: Ferguson's Cove Drone Flight Orthomosaic

description: Ferguson's Cove Drone Flight Orthomosaic as flown by Clean in 2019. Download all associated files.
DOI: 10.5683/sp2/8tozss
title: Sitmu'k Drone Flight DSM

description: Sitmu'k Drone Flight DSM as flown by Clean in the Summer of 2019. See Report document.
DOI: 10.6084/m9.figshare.16640698
title: You exude what you eat: How carbon, nitrogen and sulfur rich organic substrates shape microbial community composition and the dissolved organic matter (DOM) pool

description: Phytoplankton are the major source of labile organic matter in the sunlit ocean, and they are therefore key players in most biogeochemical cycles. However, studies examining the heterotrophic bacterial cycling of specific phytoplankton derived nitrogen (N)- and sulfur (S)-containing organic compounds are currently lacking at the molecular level. Therefore, the present study investigated how the addition of N-containing (glycine betaine, GBT) and S-containing (dimethylsulfoniopropionate, DMSP) organic compounds, as well as glucose, influenced the microbial production of new organic molecules and the microbial community composition. The chemical composition of microbial produced DOM was analyzed by ultrahigh resolution Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) demonstrating that CHO, CHON and CHOS containing molecules were enriched in the glucose, GBT and DMSP experiments, respectively. High-throughput sequencing showed that Alteromonadales was the dominant group in the glucose, while Rhodobacterales was the most abundant group in both the GBT and DMSP experiments. Co-occurrence network analysis furthermore indicated more complex linkages between the microbial community and organic molecules in the GBT compared with the other two experiments. Our results shed light on how different microbial communities response to distinct substrates and mediate the cycling of organic compounds.
DOI: 10.6084/m9.figshare.16640698.v3
title: You exude what you eat: How carbon, nitrogen and sulfur rich organic substrates shape microbial community composition and the dissolved organic matter (DOM) pool

description: Phytoplankton are the major source of labile organic matter in the sunlit ocean, and they are therefore key players in most biogeochemical cycles. However, studies examining the heterotrophic bacterial cycling of specific phytoplankton derived nitrogen (N)- and sulfur (S)-containing organic compounds are currently lacking at the molecular level. Therefore, the present study investigated how the addition of N-containing (glycine betaine, GBT) and S-containing (dimethylsulfoniopropionate, DMSP) organic compounds, as well as glucose, influenced the microbial production of new organic molecules and the microbial community composition. The chemical composition of microbial produced DOM was analyzed by ultrahigh resolution Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) demonstrating that CHO, CHON and CHOS containing molecules were enriched in the glucose, GBT and DMSP experiments, respectively. High-throughput sequencing showed that Alteromonadales was the dominant group in the glucose, while Rhodobacterales was the most abundant group in both the GBT and DMSP experiments. Co-occurrence network analysis furthermore indicated more complex linkages between the microbial community and organic molecules in the GBT compared with the other two experiments. Our results shed light on how different microbial communities response to distinct substrates and mediate the cycling of organic compounds.
DOI: 10.5683/sp2/9vi3r0
title: Sitmu'k Drone Flight Orthomosaic

description: Sitmu'k Drone Flight Orthomosaic. See report document.
DOI: 10.6084/m9.figshare.16640698.v2
title: You exude what you eat: How carbon, nitrogen and sulfur rich organic substrates shape microbial community composition and the dissolved organic matter (DOM) pool

description: Phytoplankton are the major source of labile organic matter in the sunlit ocean, and they are therefore key players in most biogeochemical cycles. However, studies examining the heterotrophic bacterial cycling of specific phytoplankton derived nitrogen (N)- and sulfur (S)-containing organic compounds are currently lacking at the molecular level. Therefore, the present study investigated how the addition of N-containing (glycine betaine, GBT) and S-containing (dimethylsulfoniopropionate, DMSP) organic compounds, as well as glucose, influenced the microbial production of new organic molecules and the microbial community composition. The chemical composition of microbial produced DOM was analyzed by ultrahigh resolution Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) demonstrating that CHO, CHON and CHOS containing molecules were enriched in the glucose, GBT and DMSP experiments, respectively. High-throughput sequencing showed that Alteromonadales was the dominant group in the glucose, while Rhodobacterales was the most abundant group in both the GBT and DMSP experiments. Co-occurrence network analysis furthermore indicated more complex linkages between the microbial community and organic molecules in the GBT compared with the other two experiments. Our results shed light on how different microbial communities response to distinct substrates and mediate the cycling of organic compounds.
DOI: 10.5683/sp2/ewls0h
title: Finlayson's Island Drone Flight Orthomosaic.

description: Finlayson's Island Drone Flight Orthomosaic. See report document.
DOI: 10.5683/sp2/zlh5bw
title: Finlayson's Island Drone Flight DSM

description: Finlayson's Island Drone Flight DSM. See Report document.
DOI: 10.5683/sp2/y0vc6a
title: Replication Data for: Infaunal Invertebrates, Saint John Harbour, New Brunswick (CC BY 4.0)

description: In October 2018, sediment samples were collected in the Saint John Harbour, New Brunswick and subsequently analysed by Dr. Heather Hunt (University of New Brunswick) for benthic infaunal invertebrates and by Dr. Karen Kidd (McMaster University) for contaminants. This collaboration is a continuation of a long-term monitoring study called ‘Development of baseline data for long-term monitoring of sediment conditions at reference sites in Saint John Harbour, New Brunswick: benthic infaunal invertebrates and sediment contaminants 2011-2013’ (Van Geest et al., 2015). Sediment samples were obtained from six of the seven reference sites established by Van Geest et al. (2015) as well as an additional seven potential hotspots. Data includes heavy metals and sediment property analysis as well as invertebrate species presence. See Van Geest et al. (2015) for detailed field and lab methods. Environment and Climate Change Canada’s Atlantic Ecosystems Initiatives program provided funding to support this work; COINAtlantic (coinatlantic.ca) collaborated with research partners to make data publicly available under the FAIR data guiding principles.
DOI: 10.5683/sp2/xdqwzd
title: Replication Data for: Sediment Contaminants, Saint John Harbour, New Brunswick (CC BY 4.0)

description: In October 2018, sediment samples were collected in the Saint John Harbour, New Brunswick and subsequently analysed by Dr. Heather Hunt (University of New Brunswick) for benthic infaunal invertebrates and by Dr. Karen Kidd (McMaster University) for contaminants. This collaboration is a continuation of a long-term monitoring study called ‘Development of baseline data for long-term monitoring of sediment conditions at reference sites in Saint John Harbour, New Brunswick: benthic infaunal invertebrates and sediment contaminants 2011-2013’ (Van Geest et al., 2015). Sediment samples were obtained from six of the seven reference sites established by Van Geest et al. (2015) as well as an additional seven potential hotspots. Data includes heavy metals and sediment property analysis as well as invertebrate species presence. See Van Geest et al. (2015) for detailed field and lab methods. Environment and Climate Change Canada’s Atlantic Ecosystems Initiatives program provided funding to support this work; COINAtlantic (coinatlantic.ca) collaborated with research partners to make data publicly available under the FAIR data guiding principles.
DOI: 10.5683/sp2/ldrals
title: Replication Data for: Surface Water Microplastics, Saint John Harbour, New Brunswick (CC BY 4.0)

description: In November 2018, ACAP Saint John in New Brunswick conducted sampling and subsequent analysis for surface water microplastics across five trawl sites (two in the inner Saint John Harbour and three in the outer harbour). A Low-Tech Aquatic Debris Instrument (LADI) was used to collect samples as per the protocol developed by Civic Laboratory for Environmental Action Research (CLEAR) at Memorial University of Newfoundland (Coyle et al., 2016). Microplastics research in the Saint John Harbour has only recently been initiated; this data will support new understanding of this previously unstudied contaminant and support informed management of the harbour. Environment and Climate Change Canada’s Atlantic Ecosystems Initiatives program provided funding to support this work; COINAtlantic (coinatlantic.ca) collaborated with research partners to make data publicly available under the FAIR data guiding principles.
DOI: 10.5683/sp2/lfircr
title: Replication Data for: Subtidal and Intertidal Microplastics, Saint John Harbour, New Brunswick (CC BY 4.0)

description: In October 2018, subtidal and intertidal sediment samples were collected across the inner and outer Saint John Harbour and analyzed for microplastics by two University of New Brunswick researchers, Krista Beardy and Dr. Heather Hunt. The subtidal samples were collected using a 0.1〖 m〗^2 Smith McIntyre grab (SMG) sampler, while the intertidal samples were collected using a metal, paint-free trowel. Lab analysis was conducted as per the protocols developed by Krista Beardy and involved two extractions of microplastics; the first extraction used a 10% potassium hydroxide (KOH) solution and the second extraction used a concentrated zinc chloride (ZnCl2) solution. Environment and Climate Change Canada’s Atlantic Ecosystems Initiatives program provided funding to support this work; COINAtlantic (coinatlantic.ca) collaborated with research partners to make data publicly available under the FAIR data guiding principles.
DOI: 10.5683/sp2/lbw22s
title: Mapping permeability of saturated terrestrial lithologies over the surface of the Earth (data)

description: Auxiliary Materials for ‘Mapping permeability over the surface of the earth’ [Gleeson et al.] Table S1 is a compilation of horizontal intrinsic permeability, vertical anisotropy and horizontal unit length from peer-reviewed, calibrated models with hydrolithologic units that are &gt;5 km in length with a shallow upper contact (&lt; 100m depth). We compiled two-hundred and thirty hydrogeologic units from calibrated models which are grouped into seven hydrolithologic categories.
DOI: 10.5683/sp2/39qgef
title: Replication Data for: Washburn and Gillis, Saint John Harbour, New Brunswick (1993) (CC BY 4.0)

description: This study was undertaken by Washburn and Gillis Associates Ltd between 1991-92 across the inner and outer Saint John Harbour (SJH), New Brunswick. The study is split into two components: Component A – A Study of the Saint John Harbour Environmental Quality, and Component B - A Study of Wastewater Treatment for the City of Saint John. The data published by COINAtlantic on Dataverse is from Component A. The first phase of Component A sought to characterize the environmental profile of the SJH, including hydrographic and sedimentological conditions, fisheries, and land use, as well as municipal and industrial effluent outfall. Additionally, tributary water quality sampling was undertaken at four stations during high and low flow periods for numerous inorganic, organic, and heavy metal parameters (Tables 4-4 -- 4-7). Lastly, an effluent sampling program sampled effluent discharge across nine industrial sites for numerous inorganic, organic, and heavy metal parameters (Tables 4-10 -- 4-18). The second phase of Component A included a Harbor Sampling Program that looked at sediment contaminant (heavy metals, PCBs, PAHs, organo-chlorinated pesticides, extractable organic chlorine, grain size, oil and grease, carbon content), and biota contaminant burdens of two trophic level species as well as their biotic response to contaminants (Tables 5-3 -- 5-15, not 5-11). Biota included the blue mussel (Mytilus edulis) (sampled for heavy metals, PCBs, PAHs), and the winter flounder (Pseudopleuronectes americanus) (sampled for heavy metals) using a mixed-function oxidase (MFO) test. These data, combined with the environmental profile were used to inform whether and where the SJH acts as a contaminant sink, as well as contribute to the third phase of Component A, the development of recommended parameters to include in a harbour monitoring program. Environment and Climate Change Canada’s Atlantic Ecosystems Initiatives program provided funding for COINAtlantic (coinatlantic.ca) to undertake data rescue work on this study and make this data publicly available under the FAIR data guiding principles.
DOI: 10.5683/sp2/is0swh
title: Données photographiques pour la thèse de doctorat intitulée « L’esthétique de l’engagement écologique : l’impensé des politiques environnementales »

description: Ces données photographiques ont été récolté entre 2014 et 2016 pour la thèse de doctorat intitulée « L’esthétique de l’engagement écologique : l’impensé des politiques environnementales » réalisée dans le cadre du programme Ph. D. Aménagement de la Faculté de l'aménagement de l'Université de Montréal sous la direction de Philippe Gauthier, professeur agrégé à l'École de design.
DOI: 10.5683/sp2/tigpfs
title: Données supplémentaires thèse 'Biodisponibilité et effets transcriptomiques du cérium chez Chlamydomonas reinhardtii'

description: Traitement des données de séquençage du transcriptome entier (ARN-Seq) de C. reinhardtii exposée (i) à différentes formes de cérium (chapitre1) et (ii) à différents éléments de terres rares.
DOI: 10.5683/sp2/d3g09i
title: Données de réplication pour :Morel, E., Dozois, J., Slaveykova, V. I., Wilkinson, K. J. (2020). Distinguishing the effects of Ce nanoparticles from their dissolution products-Identification of transcriptomic biomarkers that are specific for ionic Ce in Chlamydomonas reinhardtii. Metallomics.https://doi.org/10.1093/mtomcs/mfaa005

description: Excel file containing the raw data of each figure (i.e. a dedicated excel sheet) of the article; Morel, E., Dozois, J., Slaveykova, V. I., Wilkinson, K. J. (2020). Distinguishing the effects of Ce nanoparticles from their dissolution products-Identification of transcriptomic biomarkers that are specific for ionic Ce in Chlamydomonas reinhardtii. Metallomics.
DOI: 10.5683/sp2/ycgajc
title: Canadian mayors on social media

description: This database of Canadian mayors includes data from Statistics Canada's 2016 census, municipal election results, as well as Facebook, Twitter and Instagram public data. It was created for my PhD thesis.
DOI: 10.5683/sp2/xnqypn
title: The Effects of Political Memes: A Field Longitudinal Experiment

description: These files include the database, the survey question wording, the treatment (political memes) and the coding script for my master thesis (2021)
DOI: 10.5683/sp2/2zjhkp
title: Willow aboveground and belowground traits can predict phytoremediation services

description: We explored traits-services correlations with plantations of short-rotation coppiced willows (Salix spp.). We conducted a four-year field trial (2016-2019) on a brownfield contaminated by trace elements (As, Ba, Cd, Cu, Mn, Pb, Se, and Zn), using split-plots nested into four blocks. We sampled 16 willow plantations (4.5m X 2.5m) of one or four cultivars from which half was coppiced after three years. For each plot, we measured ten functional traits from aboveground and belowground tissues (LA, SLA, LDMC, RDMC, LNC, RNC, LCC, RCC, SSD, and leaf pH) and six phytoremediation services (Phytoextraction, phytostabilisation, translocation factors, soil decontamination, and bioconcentration factors of total and belowground tissues). To do so, we measured trace elements in plant tissues and soil. We tested the impacts of treatments (willow diversity and coppicing) on the services and traits through linear mixed models and controlled for spatial heterogeneity with soil covariates (OM, texture and initial contamination). We explored the traits-services correlations through a redundancy analysis (RDA).
DOI: 10.6084/m9.figshare.20137955
title: Montreal_garment industry_supply chain.xlsx

description: This dataset is developed to model and optimize the closed-loop supply chain network for the garment industry in Montreal, Canada. Information for each sheet is described as following: 1. First sheet "Indices": assigns indicators to entities 2. Second sheet "Parameters": shows the quantity of each parameter 3. Third sheet "Identifier": helps to identify the quantity of each parameter while showing the index indicator 4. Fourth sheet "ID example": brings an example to utilize the third sheet <br> A short instruction to use the third sheet: 1. Copy a column you wish to analyze and paste it on yellow cells (Column G) 2. Change indices (green cells) according to the copied column 3. Browse the table to find the quantity of the expected parameter
DOI: 10.6084/m9.figshare.20137955.v1
title: Montreal garment industry_supply chain.xlsx

description: This dataset is developed to model and optimize the closed-loop supply chain network for the garment industry in Montreal, Canada. Information for each sheet is described as following: 1. First sheet "Indices": assigns indicators to entities 2. Second sheet "Parameters": shows the quantity of each parameter 3. Third sheet "Identifier": helps to identify the quantity of each parameter while showing the index indicator 4. Fourth sheet "ID example": brings an example to utilize the third sheet <br> A short instruction to use the third sheet: 1. Copy a column you wish to analyze and paste it on yellow cells (Column G) 2. Change indices (green cells) according to the copied column 3. Browse the table to find the quantity of the expected parameter
DOI: 10.5683/sp/npoofb
title: Replication Data for: The translation of ‘transparency’ in the Canadian press: An inquiry into symbolic power

description: This corpus investigate the business sections of seven Canadian newspapers over a period spanning from 2001 to 2008 in English and in French. The newspapers are: The National Post, The Globe and Mail, The Toronto Star, The Gazette, La Presse, Le Devoir and Le Droit. For comparison purposes, a corpus made of Canadian bank's annual reports was also used. With the use of the monolingual concordancer WordSmith 6.0, we looked at the following keywords: transparency, opaque and their French equivalents. The results were treated in several Excel files.
DOI: 10.5683/sp/4qsljm
title: Lévesque and Trudeau in the US -- translation corpus

description: This corpus was used when writing the chapter "January/February 1977: Independence, secession, political duels or Lévesque and Trudeau in the United States", in the book Translation Effects. It comprises speeches delivered by a Canadian Prime Minister in English and in French, as well as a Quebec Premier in English and in French. The speeches were delivered in 1977 and relate to the first election of the Parti Quebecois, a nationalist party in Quebec. The speeches are in Text format and can be used in bilingual concordancers such as Paraconc or monolingual concordancers such as WordSmith.