This data makes it possible to know the representation and employment of people from the target groups that are: women, aboriginal people, visible minorities, ethnic minorities and people with disabilities in the City of Montreal.

In 2023, gender equity in senior leadership roles at Bank of Montreal, known as BMO Financial Group in the United States, was **** percent, slightly higher than in the previous years. The share of senior people of color leaders was significantly lower both in Canada and in the United States, though these numbers increased as well.

Under the recently adopted Kunming-Montreal Global Biodiversity Framework, 196 Parties committed to report the status of genetic diversity for all species. To facilitate reporting, three genetic diversity indicators were developed, two of which focus on processes contributing to genetic diversity conservation: maintaining genetically distinct populations and ensuring populations are large enough to maintain genetic diversity. The major advantage of these indicators is that they can be estimated with or without DNA-based data. However, demonstrating their feasibility requires addressing the methodological challenges of using data gathered from diverse sources, across diverse taxonomic groups, and for countries of varying socioeconomic status and biodiversity levels. Here, we assess the genetic indicators for 919 taxa, representing 5,271 populations across nine countries, including megadiverse countries and developing economies. Eighty-three percent of taxa assessed had data available to ..., Data comes from the first multi-country assessment of genetic diversity status, with emphasis on the PM and Ne 500 indicators, including nine countries: Australia, Belgium, Colombia, France, Japan, Mexico, South Africa, Sweden, and the United States of America. Within each country, teams of researchers and conservation practitioners from academia, government institutions, and non-governmental organizations aimed to asses of 50-100 species per country. In total 919 taxa, representing 5,271 populations were assessed. Data comes from different sources depending on the country and the species. Data was collected using a KoboToolBox (https://www.kobotoolbox.org/) form specifically designed for this project. The resulting dataset was downloaded as a .csv file and processed in R version 4.2.1 using custom functions and a processing pipeline specifically developed for this study for quality checking, indicator calculation, and subsequent analyses. The R code is available from  https://github.co..., , # Multinational evaluation of genetic diversity indicators for the Kunming-Montreal Global Biodiversity Monitoring Framework

https://doi.org/10.5061/dryad.bk3j9kdkm

Data comes from the first multi-country assessment of genetic diversity status, with emphasis on the PM and Ne 500 indicators, including nine countries: Australia, Belgium, Colombia, France, Japan, Mexico, South Africa, Sweden, and the United States of America.

For all countries, some of the data collected was not cleaned or analysed in the associated publication, thus the variables are shared so that the processing scripts can run, but the values were removed. Data for these variables would be published as part of a follow-up paper. See the data dictionary for details.

Code/Software

Data was collected using a KoboToolBox (https://www.kobotoolbox.org/ form specifically designed for this project. The resulting dataset was downloaded as a .csv file and processed in R version 4...

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Montreal. The dataset can be utilized to gain insights into gender-based income distribution within the Montreal population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Montreal, among individuals aged 15 years and older with income, there were 295 men and 298 women in the workforce. Among them, 164 men were engaged in full-time, year-round employment, while 144 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 1.22% fell within the income range of under $24,999, while 16.67% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 18.90% of men in full-time roles earned incomes exceeding $100,000, while 2.08% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Montreal median household income by race. You can refer the same here

The Kunming-Montreal Global Biodiversity Framework (GBF) was adopted during the fifteenth meeting of the Conference of the Parties (COP 15) following a four year consultation and negotiation process. This historic Framework, which supports the achievement of the Sustainable Development Goals and builds on the Convention’s previous Strategic Plans, sets out an ambitious pathway to reach the global vision of a world living in harmony with nature by 2050. Among the Framework’s key elements are 4 goals for 2050 and 23 targets for 2030. The implementation of the Kunming-Montreal Global Biodiversity Framework will be guided and supported through a comprehensive package of decisions also adopted at COP 15. This package includes a monitoring framework for the GBF, an enhanced mechanism for planning, monitoring, reporting and reviewing implementation, the necessary financial resources for implementation, strategic frameworks for capacity development and technical and scientific cooperation, as well as an agreement on digital sequence information on genetic resources.In adopting the Kunming-Montreal Global Biodiversity Framework, all Parties committed to setting national targets to implement it, while all other actors have been invited to develop and communicate their own commitments. At the next meeting of the Conference of the Parties, the world will take stock of the targets and commitments that have been set.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Montreal. The dataset can be utilized to gain insights into gender-based income distribution within the Montreal population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Montreal, among individuals aged 15 years and older with income, there were 300 men and 284 women in the workforce. Among them, 140 men were engaged in full-time, year-round employment, while 104 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 5.71% fell within the income range of under $24,999, while 5.77% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 10% of men in full-time roles earned incomes exceeding $100,000, while 2.88% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

https://i.neilsberg.com/ch/montreal-wi-income-distribution-by-gender-and-employment-type.jpeg" alt="Montreal, WI gender and employment-based income distribution analysis (Ages 15+)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Montreal median household income by gender. You can refer the same here

IntroductionAn unprecedented amount of Earth Observations and in-situ data has become available in recent decades, opening up the possibility of developing scalable and practical solutions to assess and monitor ecosystems across the globe. Essential Biodiversity Variables are an example of the integration between Earth Observations and in-situ data for monitoring biodiversity and ecosystem integrity, with applicability to assess and monitor ecosystem structure, function, and composition. However, studies have yet to explore how such metrics can be organized in an effective workflow to create a composite Ecosystem Integrity Index and differentiate between local plots at the global scale.MethodsUsing available Essential Biodiversity Variables, we present and test a framework to assess and monitor forest ecosystem integrity at the global scale. We first defined the theoretical framework used to develop the workflow. We then measured ecosystem integrity across 333 forest plots of 5 km2. We classified the plots across the globe using two main categories of ecosystem integrity (Top and Down) defined using different Essential Biodiversity Variables.Results and discussion:We found that ecosystem integrity was significantly higher in forest plots located in more intact areas than in forest plots with higher disturbance. On average, intact forests had an Ecosystem Integrity Index score of 5.88 (CI: 5.53–6.23), whereas higher disturbance lowered the average to 4.97 (CI: 4.67–5.26). Knowing the state and changes in forest ecosystem integrity may help to deliver funding to priority areas that would benefit from mitigation strategies targeting climate change and biodiversity loss. This study may further provide decision- and policymakers with relevant information about the effectiveness of forest management and policies concerning forests. Our proposed method provides a flexible and scalable solution that facilitates the integration of essential biodiversity variables to monitor forest ecosystems.

IntroductionAn unprecedented amount of Earth Observations and in-situ data has become available in recent decades, opening up the possibility of developing scalable and practical solutions to assess and monitor ecosystems across the globe. Essential Biodiversity Variables are an example of the integration between Earth Observations and in-situ data for monitoring biodiversity and ecosystem integrity, with applicability to assess and monitor ecosystem structure, function, and composition. However, studies have yet to explore how such metrics can be organized in an effective workflow to create a composite Ecosystem Integrity Index and differentiate between local plots at the global scale.MethodsUsing available Essential Biodiversity Variables, we present and test a framework to assess and monitor forest ecosystem integrity at the global scale. We first defined the theoretical framework used to develop the workflow. We then measured ecosystem integrity across 333 forest plots of 5 km2. We classified the plots across the globe using two main categories of ecosystem integrity (Top and Down) defined using different Essential Biodiversity Variables.Results and discussion:We found that ecosystem integrity was significantly higher in forest plots located in more intact areas than in forest plots with higher disturbance. On average, intact forests had an Ecosystem Integrity Index score of 5.88 (CI: 5.53–6.23), whereas higher disturbance lowered the average to 4.97 (CI: 4.67–5.26). Knowing the state and changes in forest ecosystem integrity may help to deliver funding to priority areas that would benefit from mitigation strategies targeting climate change and biodiversity loss. This study may further provide decision- and policymakers with relevant information about the effectiveness of forest management and policies concerning forests. Our proposed method provides a flexible and scalable solution that facilitates the integration of essential biodiversity variables to monitor forest ecosystems.

About this dataset

Context

The dataset presents the median household income across different racial categories in Montreal. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Montreal population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 93.72% of the total residents in Montreal. Notably, the median household income for White households is $59,045. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $59,045.

https://i.neilsberg.com/ch/montreal-wi-median-household-income-by-race.jpeg" alt="Montreal median household income diversity across racial categories">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Montreal.
• Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Montreal median household income by race. You can refer the same here

This data set presents data from the 2021 population census shared by Statistics Canada to the City of Montreal as part of a data order carried out by the Department of Diversity and Social Inclusion. The Social Business Intelligence and Optimization Division of the Diversity and Social Inclusion Department also produced a series of thematic portraits, designed to provide a detailed and comprehensive view of various social dimensions within our community. Based on data from the 2021 census from Statistics Canada, they provide in-depth information at the level of the agglomeration, the city and each district. The themes addressed are: - Poverty - Immigration - Children (0 to 11 years old) - Young people (12 to 24 years old) - Children (0 to 11 years old) - Children (0 to 11 years old) - Children (0 to 11 years old) -youth-2021) - Seniors (65 years and over) - Activity limitations Important The data is available under the open license from Statistics Canada. For the terms of use, please consult the license available on the Statistics Canada site. When reusing data, it is important to cite the source (Statistics Canada 2021 Census) and to mention that the product is the result of a personalized order made by the City of Montreal.

To halt the loss of biodiversity, collaboration among scientists, managers and decision makers is vital. Although biodiversity loss is a global problem, management actions influencing diversity are often on a local to regional scale. Our study is an example of a regional conservation genomic assessment developed in collaboration between scientists and managers. We used 2bRAD sequencing to assess 18 eelgrass (Zostera marina) meadows in northwestern Sweden, an area that has experienced large losses of eelgrass since the 1980s. Genetic diversity was comparable to other assessed meadows in the Atlantic, but an order of magnitude lower than eelgrass in the Pacific. All but one meadow showed high rates of sexual reproduction. Almost all meadows were divergent but grouped into five genetic clusters. Four of the clusters correspond to geographic regions that can be used to define management units. Meadows in areas with a high decline in eelgrass between the 1980s to 2020s are more inbred than m..., , , # Empowering regional conservation: Genetic diversity assessments as a tool for eelgrass management

• zostera_PRJNA1043091_ALL_5849.vcf.gz

vcf file including all individuals, with a total of 5849 SNPs and 404 samples

• zostera_meta_data.tsv

Metadata of all individuals

region = name of the waterbody site = site code = site code indv = individual labels latitude = latitude longitude = longitude year = sampling year meadow_type = level of impact on meadow meadow_size = if meadow is small<20ha or large > 20ha MLL = multilocus lineage kept = yes, if the sample is kept after clone correction and included in zostera_PRJNA1043091_MLLs_4864.vcf.gz

All raw sequences are available on the NCBIs Sequence Read Archive (BioProject PRJNA1043091)

Geographic Diversity in Public Code Contributions - Replication Package This document describes how to replicate the findings of the paper: Davide Rossi and Stefano Zacchiroli, 2022, Geographic Diversity in Public Code Contributions - An Exploratory Large-Scale Study Over 50 Years. In 19th International Conference on Mining Software Repositories (MSR ’22), May 23-24, Pittsburgh, PA, USA. ACM, New York, NY, USA, 5 pages. https://doi.org/10.1145/3524842.3528471 This document comes with the software needed to mine and analyze the data presented in the paper. Prerequisites These instructions assume the use of the bash shell, the Python programming language, the PosgreSQL DBMS (version 11 or later), the zstd compression utility and various usual *nix shell utilities (cat, pv, …), all of which are available for multiple architectures and OSs. It is advisable to create a Python virtual environment and install the following PyPI packages: click==8.0.4 cycler==0.11.0 fonttools==4.31.2 kiwisolver==1.4.0 matplotlib==3.5.1 numpy==1.22.3 packaging==21.3 pandas==1.4.1 patsy==0.5.2 Pillow==9.0.1 pyparsing==3.0.7 python-dateutil==2.8.2 pytz==2022.1 scipy==1.8.0 six==1.16.0 statsmodels==0.13.2 Initial data swh-replica, a PostgreSQL database containing a copy of Software Heritage data. The schema for the database is available at https://forge.softwareheritage.org/source/swh-storage/browse/master/swh/storage/sql/. We retrieved these data from Software Heritage, in collaboration with the archive operators, taking an archive snapshot as of 2021-07-07. We cannot make these data available in full as part of the replication package due to both its volume and the presence in it of personal information such as user email addresses. However, equivalent data (stripped of email addresses) can be obtained from the Software Heritage archive dataset, as documented in the article: Antoine Pietri, Diomidis Spinellis, Stefano Zacchiroli, The Software Heritage Graph Dataset: Public software development under one roof. In proceedings of MSR 2019: The 16th International Conference on Mining Software Repositories, May 2019, Montreal, Canada. Pages 138-142, IEEE 2019. http://dx.doi.org/10.1109/MSR.2019.00030. Once retrieved, the data can be loaded in PostgreSQL to populate swh-replica. names.tab - forenames and surnames per country with their frequency zones.acc.tab - countries/territories, timezones, population and world zones c_c.tab - ccTDL entities - world zones matches Data preparation Export data from the swh-replica database to create commits.csv.zst and authors.csv.zst sh> ./export.sh Run the authors cleanup script to create authors--clean.csv.zst sh> ./cleanup.sh authors.csv.zst Filter out implausible names and create authors--plausible.csv.zst sh> pv authors--clean.csv.zst | unzstd | ./filter_names.py 2> authors--plausible.csv.log | zstdmt > authors--plausible.csv.zst Zone detection by email Run the email detection script to create author-country-by-email.tab.zst sh> pv authors--plausible.csv.zst | zstdcat | ./guess_country_by_email.py -f 3 2> author-country-by-email.csv.log | zstdmt > author-country-by-email.tab.zst Database creation and initial data ingestion Create the PostgreSQL DB sh> createdb zones-commit Notice that from now on when prepending the psql> prompt we assume the execution of psql on the zones-commit database. Import data into PostgreSQL DB sh> ./import_data.sh Zone detection by name Extract commits data from the DB and create commits.tab, that is used as input for the zone detection script sh> psql -f extract_commits.sql zones-commit Run the world zone detection script to create commit_zones.tab.zst sh> pv commits.tab | ./assign_world_zone.py -a -n names.tab -p zones.acc.tab -x -w 8 | zstdmt > commit_zones.tab.zst Use ./assign_world_zone.py --help if you are interested in changing the script parameters. Ingest zones assignment data into the DB psql> \copy commit_zone from program 'zstdcat commit_zones.tab.zst | cut -f1,6 | grep -Ev ''\s$''' Extraction and graphs Run the script to execute the queries to extract the data to plot from the DB. This creates commit_zones_7120.tab, author_zones_7120_t5.tab, commit_zones_7120.grid and author_zones_7120_t5.grid. Edit extract_data.sql if you whish to modify extraction parameters (start/end year, sampling, …). sh> ./extract_data.sh Run the script to create the graphs from all the previously extracted tabfiles. sh> ./create_stackedbar_chart.py -w 20 -s 1971 -f commit_zones_7120.grid -f author_zones_7120_t5.grid -o chart.pdf

We conducted a study in Montreal, Canada, across 97 trees within 24 urban experimental plots to examine bird diversity, avian predation attempts on artificial prey, and the effects of bird exclusion on insect herbivory. We also evaluated local tree diversity and urbanization levels through tree density, impervious surfaces, anthropogenic noise, and human population density. Our goal was to understand how insectivorous bird communities change along the urban gradient, explore their cascading effects on predation and herbivory control functions, and evaluate whether urban tree diversity can help mitigate the negative impacts of urbanization on the trophic cascade involving birds, herbivorous insects, and trees.

The CSIRO Bioclimatic Ecosystem Resilience Index (BERI) for Australia is a spatial layer representing the estimated capacity of ecosystems to retain biological diversity in the face of ongoing, and uncertain, climate change (Ferrier et al. 2020). The BERI assesses the extent to which any given spatial configuration of natural habitat across a landscape will promote or hinder climate-induced shifts in biological distributions. It does this by analysing the functional connectivity of each grid cell to areas of habitat in the surrounding landscape which are projected to support a similar assemblage of species under climate change to that currently associated with the grid cell. BERI is a Component indicator for Target 8 of the Convention on Biological Diversity Kunming-Montreal Global Biodiversity Framework (CBD 2022): “Minimize the Impacts of Climate Change on Biodiversity and Build Resilience”.

The analysis to derive the BERI accounts for: (1) current spatial patterns in species assemblage turnover; (2) projected change in species assemblage turnover over space and time associated with one or more climate change scenarios; (3) spatial patterns in ecosystem condition as available habitat for biodiversity; (4) connectivity over space and time, accounting for ecosystem condition and environmental conditions.

The BERI values for each grid cell in the layer provided contain a value between 0, equating to estimated complete loss of accessible (connected) habitat suitable for native species originally associated with that cell (low resilience), and 1, equating to estimated complete retention of the amount of this accessible habitat (high resilience). BERI values are often in the lower range, due to the combined effects of climate change and degradation of ecosystem condition, with areas of lower ecosystem condition affecting biodiversity through both direct habitat loss and reduced connectivity.

BERI spatial layers are provided for two different taxonomic groups: vascular plants and reptiles (‘BERI_Australia_

Also provided are layers for each taxon (‘SumSimilarity_Australia_

Lineage: The BERI spatial raster for Australia was generated at 9s grid resolution (0.0025°) using the CSIRO BILBI biodiversity modelling infrastructure. The analytical method used was that described in Ferrier et al. (2020) and Harwood et al. (2022a). The ecosystem condition data used to calculate the BERI were from the Habitat Condition Assessment System (HCAS) v2.1 (Williams et al. 2021). This represents an estimate of the average ecosystem condition across Australia over the period 2001 to 2018, at 9s grid resolution (0.0025°) (Williams et al. 2021; Harwood et al. 2021).

Input data on the spatial patterns in species assemblage turnover were from a generalised dissimilarity model (GDM) of vascular plant community composition, and reptile community composition (Mokany et al. 2018). The GDM prediction layers for each taxon for Australia were derived for the ‘current’ climate centred on 1990 and two alternative climate projections centred on 2050. The two future climate projections were derived from the ACCESS model (RCP 8.5) and the GFDL model (RCP 8.5) from the IPCC AR5.

The data layers for Australia provide finer spatial resolution and make use of higher-quality input data compared to the global layers for BERI provided by Harwood et al. (2022b).

References CBD (2022) The Kunming-Montreal Global Biodiversity Framework. Convention on Biological Diversity. https://www.cbd.int/doc/c/e6d3/cd1d/daf663719a03902a9b116c34/cop-15-l-25-en.pdf

Ferrier, S., Harwood, T.D., Ware, C., Hoskins, A.J. (2020) A globally applicable indicator of the capacity of terrestrial ecosystems to retain biological diversity under climate change: The bioclimatic ecosystem resilience index. Ecological Indicators: 117, 106554. https://doi.org/10.1016/j.ecolind.2020.106554

Harwood, T., Williams, K., Lehmann, E., Ware, C., Lyon, P., Bakar, S., Pinner, L., Schmidt, B., Mokany, K., Van Niel, T., Richards, A., Dickson, F., McVicar, T., Ferrier, S. (2021) 9 arcsecond gridded HCAS 2.1 (2001-2018) base model estimation of habitat condition for terrestrial biodiversity, 18-year trend and 2010-2015 epoch change for continental Australia. v7. CSIRO. Data Collection. https://doi.org/10.25919/nkjf-f088

Harwood,T., Love, J., Dreilsma, M., Brandon, C., Ferrier, S. (2022a) Staying connected: assessing the capacity of landscapes to retain biodiversity in a changing climate. Landscape Ecology. 37:3123 https://doi.org/10.1007/s10980-022-01534-5

Harwood, T., Ware, C., Hoskins, A., Ferrier, S., Bush, A., Golebiewski, M., Hill, S., Ota, N., Perry, J., Purvis, A., Williams, K. (2022b) BERI v2: Bioclimatic Ecosystem Resilience Index: 30s global time series. v1. CSIRO. Data Collection. https://doi.org/10.25919/437m-8b91

Mokany, K., Harwood, T., Ware, C., Williams, K., King, D., Ferrier, S., Nolan, M. (2018) Enhancing landscape data: capacity building for GDM analyses to support biodiversity assessment. Canberra, Australia: CSIRO. csiro:EP185445. https://doi.org/10.25919/ehxd-fe85

Williams, K., Harwood, T., Lehmann, E., Ware, C., Lyon, P., Bakar, S., Pinner, L., Schmidt, B., Mokany, K., Van Niel, T., Richards, A., Dickson, F., McVicar, T., Ferrier, S. (2021) Habitat Condition Assessment System (HCAS version 2.1). Enhanced method for mapping habitat condition and change across Australia. Canberra, Australia: CSIRO; 2021. csiro:EP2021-1200. https://doi.org/10.25919/n3c6-7w60

List of projects and/or buildings associated with social housing. Inventory built from various data sources of varying quality in the early 2000s and maintained since then on an annual basis. Data used to better understand the supply of social and community housing in the territory. The data is categorized by type of project, i.e.: - HLM: Public housing managed by the Office municipal d'habitation de Montréal, whose rent is fixed at 25% of household income. This category includes the Corporation des Habitations Jeanne-Mance. - OMHM: Affordable public housing resulting from projects by the Office municipal d'habitation de Montréal outside the HLM program and managed in a form similar to NPOs with the participation of residents. - SHDM: public and affordable rental housing owned and managed by the Société d'habitation et de développement de Montréal and whose projects may be managed by an NPO. - NPO: Rental housing owned and managed by a non-profit organization and which targets customers with difficulties in finding adequate housing. NPOs sometimes offer community support to their tenants. - Coop: Housing owned by a cooperative that leases them to its members. Cooperatives aim to offer quality housing at affordable prices while promoting socio-economic diversity in projects. More information on the subject is available on the City of Montreal's website.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This database is linked to the IDENT experiment in Montreal. It presents aggregated data for each of the plots that were taken into account in the study named "Implications of contrasted above- and below-ground biomass responses in a diversity experiment with trees". Descriptions for the variables are available in the main text and the Supporting Information.

The data set is associated with the publication "Tree community overyielding during early stand development is explained by asymmetric species-specific responses to diversity" by Urgoiti, Messier, Keeton, and Paquette. It provides data regarding the basal area at species level per plot and year from the IDENT experiment of Montreal from 2009 to 2019. Information about block, plot, and species richness is also given.

Data from: How can China curb biological invasions to meet Kunming-Montreal Target 6?

https://doi.org/10.5061/dryad.b5mkkwhnh

This novel and comprehensive dataset covers information on taxon (i.e. phylum, class, order, and family), scientific name, category, origins, introduction time, introduction pathway, distribution provinces, major impacts, CN-Key, and major reference of 802 invasive alien species (IAS) that have been identified in China.

Description of the data and file structure

We have compiled this IAS dataset by integrating scattered publications and databases. The first column of the data (No.) is a simple numerical identifier. Columns 2-7 (i.e. Phylum, Class, Order, Family, Scientific name, and Category) describe the taxonomic unit information, scientific name, and category of IAS. The 8th column (Origin) provides information on the origin of the 802 IAS. Columns 9-12 (i.e. Introduction time, Introduction pathway, Distribution...

Biosynthesis of mitochondrial genome-encoded proteins is carried out by the mitoribosome, a specialized apparatus that has evolved and diverged dramatically since its bacterial origin. Recent studies across various eukaryotes have demonstrated widespread structural and compositional diversity of mitoribosomes. We used affinity pulldown of four mitoribosomal proteins to carry out a detailed analysis of mitoribosomes in Diplonema papillatum, the type species of diplonemids, a widespread group of single-celled marine flagellates. Using as baits mitoribosomal proteins integrating at distinct sites and phases during subunit maturation also allowed us to sample populations of mitoribosome assembly intermediates.