cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.vnzw2p
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schismus arabicus",
 "Country is United Arab Emirates",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036378-250811113504898/datasets/export for details.
DOI: 10.15468/dl.rzvrsk
title: Occurrence Download

description: A dataset containing 670 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ruta corsica"
 ]
}

 The dataset includes 670 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036379-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wj9evx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chelon auratus",
 "Country is Kazakhstan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036382-250811113504898/datasets/export for details.
DOI: 10.15468/dl.rnvtqk
title: Occurrence Download

description: A dataset containing 27776 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Pyrus pyraster"
 ]
}

 The dataset includes 27776 records from 379 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036380-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16934337
title: EnterpriseWorld 7DAI Local Integrator Portal

description:  

EnterpriseWorld 7DAI – Local Integrator Portal

 

 

Superintelligence is here for the enterprise.

 

The EnterpriseWorld 7DAI Local Integrator Portal provides quick onboarding resources for trusted local integrators who guide enterprises and organizations of all sizes into the next era of intelligence.

 

 

🎯 Mission

 

 



For Enterprises: unlock 50% savings vs. traditional consulting while activating the next level of AI-powered superintelligence.

For All Organizations: provide access to top-level strategic consulting and executive intelligence that was previously out of reach, now made possible through the superintelligent layer on today’s AI platforms.


 

 

 

📚 What’s Included

 

 

This repository provides the official Local Integrator Quick Onboarding Kit, including:

 



Welcome & Mission Guide – positioning integrators as trusted partners in delivering superintelligence.

Key Resources:



Whitepaper: https://zenodo.org/records/16927126

6min Intro Video: Superintelligence is Here https://youtu.be/jgzk_5fP4R0?si=YPT25-bsiyZ8ifFC

EnterpriseWorld 7DAI Training (coming soon)


 

Superintelligence Launch Plan – step-by-step guide to onboarding, client roadshows, executive engagements, and joint follow-up with EnterpriseWorld 7DAI.

First Steps Checklist – immediate actions to identify priority clients and initiate the first joint session with Pru (pru@fractiai.com).


 

 

 

🚀 Value for Integrators

 

 

As a Local Integrator, you are more than a reseller. You are a strategic guide, empowering enterprises and communities to:

 



Save costs vs. traditional consulting.

Unlock hidden superintelligence in their existing AI platforms.

Access executive-level strategic support regardless of size or budget.


 

 

 

🌍 Global + Local Impact

 

 

EnterpriseWorld 7DAI enables global superintelligence capabilities delivered through local trusted partners. This model ensures enterprises benefit from the scale of global AI breakthroughs while maintaining the trust and proximity of local integrators.

✨ This repository is part of the Awareness Intelligence Zenodo Community, curating resources that expand human and organizational awareness through advanced AI intelligence.

Interested in offering EnterpriseWorld 7DAI to you customers and not yet a local integrator partner? Email pru@fractiai.com to begin.
DOI: 10.15468/dl.bshxx3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chelon auratus",
 "Country is Turkmenistan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036383-250811113504898/datasets/export for details.
DOI: 10.15468/dl.xmn5fk
title: Occurrence Download

description: A dataset containing 1494 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schismus arabicus",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1494 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036385-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29117291.v1
title: Figure S2, Circular map of <i>H. volcanii </i>PC0224 plasmid pHA1

description: Circular map of <i>H. volcanii </i>PC0224 plasmid pHA1
DOI: 10.6084/m9.figshare.29117291
title: Figure S2, Circular map of <i>H. volcanii </i>PC0224 plasmid pHA1

description: Circular map of <i>H. volcanii </i>PC0224 plasmid pHA1
DOI: 10.15468/dl.u2pwqb
title: Occurrence Download

description: A dataset containing 15097 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agaricus campestris L."
 ]
}

 The dataset includes 15097 records from 394 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011429-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/borkgz
title: A444201001_projection_datasheet.pdf
DOI: 10.57745/bwfrgs
title: A361011001_projection_datasheet.pdf
DOI: 10.57745/cmw5bt
title: A909106050_projection_datasheet.pdf
DOI: 10.57745/dksky5
title: A331010001_projection_datasheet.pdf
DOI: 10.57745/dpyuda
title: A983201001_projection_datasheet.pdf
DOI: 10.57745/e1ce4t
title: A657111001_projection_datasheet.pdf
DOI: 10.57745/e3degf
title: A953205050_projection_datasheet.pdf
DOI: 10.57745/e8vk7a
title: A994202002_projection_datasheet.pdf
DOI: 10.57745/ehjauk
title: A420063001_projection_datasheet.pdf
DOI: 10.57745/fwbalb
title: A901305050_projection_datasheet.pdf
DOI: 10.57745/ham9ny
title: A975201001_projection_datasheet.pdf
DOI: 10.57745/hfjxz2
title: A832201001_projection_datasheet.pdf
DOI: 10.57745/hiylxk
title: A743061001_projection_datasheet.pdf
DOI: 10.57745/if9agl
title: A701061001_projection_datasheet.pdf
DOI: 10.57745/igg0wg
title: A315020001_projection_datasheet.pdf
DOI: 10.57745/j49izi
title: A843101001_projection_datasheet.pdf
DOI: 10.57745/jtmrv4
title: A902102050_projection_datasheet.pdf
DOI: 10.57745/kykbxj
title: A605102001_projection_datasheet.pdf
DOI: 10.57745/l3aysj
title: Notice_fiche_synthèse_Explore2.pdf

description: :unav
DOI: 10.57745/lbgxwt
title: A436203001_projection_datasheet.pdf
DOI: 10.57745/md7emp
title: A349020001_projection_datasheet.pdf
DOI: 10.57745/miogha
title: A930108040_projection_datasheet.pdf
DOI: 10.57745/mlpjgk
title: A463201001_projection_datasheet.pdf
DOI: 10.57745/ndxgze
title: A764201001_projection_datasheet.pdf
DOI: 10.57745/nhkr7a
title: A788101001_projection_datasheet.pdf
DOI: 10.57745/nijdvg
title: A907105050_projection_datasheet.pdf
DOI: 10.57745/njxudo
title: A840101001_projection_datasheet.pdf
DOI: 10.57745/nk3hvb
title: A807101001_projection_datasheet.pdf
DOI: 10.57745/p8mv9p
title: A873201001_projection_datasheet.pdf
DOI: 10.57745/psqxim
title: Notice_fiche_synthese.pdf

description: :unav
DOI: 10.57745/q1hahp
title: A782101001_projection_datasheet.pdf
DOI: 10.57745/qoq5z1
title: A919205040_projection_datasheet.pdf
DOI: 10.57745/sepzbb
title: A932215050_projection_datasheet.pdf
DOI: 10.57745/td61pa
title: A931109050_projection_datasheet.pdf
DOI: 10.57745/v53cms
title: Notice_fiche_synthese_Explore2.pdf
DOI: 10.57745/vickcn
title: A735201001_projection_datasheet.pdf
DOI: 10.57745/vpd01r
title: A543101001_projection_datasheet.pdf
DOI: 10.57745/wacxfc
title: A931108060_projection_datasheet.pdf
DOI: 10.57745/wya846
title: A850061001_projection_datasheet.pdf
DOI: 10.57745/yhhsgq
title: A820101001_projection_datasheet.pdf
DOI: 10.57745/yr0sni
title: A673122001_projection_datasheet.pdf
DOI: 10.57745/zhu7b0
title: A614201001_projection_datasheet.pdf
DOI: 10.57745/zobh6s
title: A405062001_projection_datasheet.pdf
DOI: 10.14288/1.0429362
title: Habitat connectivity of coyotes and brown creepers at the University of British Columbia campus-Canada

description: Habitat fragmentation has become an increasing threat to biodiversity, as it can result in the isolation of species populations and the loss of genetic diversity. To address this problem, landscape connectivity modeling has become a popular method for identifying key areas for conservation efforts. The present study assessed the habitat connectivity of two species, coyotes (Canis latrans) and brown creepers (Certhia americana), on the University of British Columbia campus using Conefor 2.6 and Conefor Inputs Tool. The study sought to identify key and hub patches for each species, compare the connectivity of the two species, and identify important areas of connectivity for each species. The two species were selected based on their habitat requirements, proximity to greenspaces, and dispersal distances. The land cover and Metro Vancouver data were used to identify habitat types and patch sizes needed by each species. Key and hub patches for each species were identified using spatial prioritization and evaluated their connectivity using the probability of connectivity (PC) values. The results showed that both species shared some important areas of connectivity, but brown creepers had a more connected network, while coyotes had higher key and hub patches. Areas of high and low connectivity for each species were also identified and found that connectivity was affected by factors such as buildings and proximity to green spaces. The study highlights the importance of considering the specific habitat requirements of different species in conservation efforts and emphasizes the need to prioritize the conservation of key and hub patches for maintaining habitat connectivity and ensuring the survival of multiple species. Future studies should focus on how factors such as landscape heterogeneity, human disturbance, and habitat quality affect the connectivity of the two species.
DOI: 10.14288/1.0430552
title: Metrics of Change: Informing Ecological Restoration by Quantifying Landscapes and Processes in Banff National Park

description: &lt;p&gt;In response to the growing need for broad-scale ecological monitoring, recent efforts have been made to quantify important landscape changes. The landscapes in the Rocky Mountain Cordillera undergo constant change due to the intricate interplay of ecological processes, with fire being the primary disturbance agent. Fire suppression policies have impeded the ecological role of fire, resulting in increased conifer forest dominance and declines in landscape heterogeneity. The objective of this study was to develop a methodology to accurately measure regional landscape changes resulting from fire suppression and fire restoration in Banff National Park, with the goal of supporting data-informed resource management.&lt;/p&gt; &lt;p&gt;The use of remote sensing technologies provides consistent and accurate data over large spatial and temporal scales, which would be challenging with traditional field-based methods. A landscape metrics approach was selected to investigate changes across 27 management units. Four landscape metrics were calculated using annual land cover maps derived from Virtual Land Cover Engine/Landsat-5/7 imagery spanning 34 years (1984-2019). Metrics were selected to capture conifer encroachment (proportion of conifer class) and landscape heterogeneity (contagion, edge density, Shannon’s diversity index) changes. Time-series analysis and Thiel-Sen slope estimation were used to identify metric trends.&lt;/p&gt; &lt;p&gt;The methodology was successful in discerning regional-scale aspects of fire ecology using landscape metrics. Management units lacking fire (or with &lt;10% area burned) are less heterogeneous and are trending toward more conifer-dominated, less heterogeneous states. Reassuringly, the opposite patterns are observed in management units with greater than 10% area burned, suggesting successful fire restoration efforts from a landscape ecology standpoint.&lt;/p&gt; &lt;p&gt;The study’s resulting metrics offer resource managers additional landscape attributes to compare and monitor management units, which can support decision-making, prioritize fire restoration and inform future ecological studies.&lt;/p&gt;
DOI: 10.14288/1.0431074
title: Managing Shifting Precipitation Regimes: Sustainable Stormwater Management at University of British Columbia

description: In response to growing concerns about climate change, recent studies have investigated the climate change impact on shifting precipitation and storm events. In this work, we expand on this body of work through various analyses using the data from the Environment and Climate Change Canada (ECCC) and UBC Abacus Data Network to understand the effects of shifting precipitation of climate change on green infrastructure management at the University of British Columbia (UBC) Point Grey campus in Vancouver, Canada. The study has important implications for policymakers, urban planners, and environmental managers, emphasizing the need for proactive planning and management strategies to mitigate potential risks from changing precipitation patterns. Results showed that there are increasing chances of storm events and the existing green infrastructure at UBC is not designed to handle large volumes of precipitation, leading to flooding and erosion issues with a small portion of permeable surfaces and green infrastructure, which highlights the need for sustainable stormwater management practices that take into account the unique characteristics of each location. Based on the findings, several recommendations can be made for UBC's green infrastructure planning and stormwater management, such as balancing permeable and impermeable surfaces, installing and upgrading green roofs and other green infrastructure, and recording and updating related climate data and performance.
DOI: 10.14288/1.0431350
title: Assessing the Effect of Tree Stand Composition on Urban Cooling Effect on the UBC Vancouver Campus Using the 2021 Western North America Heat Wave

description: Rapid urbanization leads to the reduction of urban greenspaces, affecting the urban thermal environment and exacerbating the urban heat island effect. As urban forests are effective contributors to mitigating the urban heat island effect, understanding the composition of urban forests is important for assessing cooling effects. In response to growing concerns about the urban heat island effect, recent studies have used satellite imagery to investigate the cooling effects of urban forests’ characteristics, as remotely sensed data are flexible in spatial and temporal resolutions. This study determined the spatial patterns of land surface temperatures and tree stand compositions, as well as examined the cooling effects of different tree stand compositions at the UBC Vancouver campus during the 2021 Western North America Heat Wave. This study was done by retrieving land surface temperatures from Landsat 8 images and using grid-based analysis to classify tree stand composition in the following classification schemes: coniferous, deciduous, and mixed wood. A linear mixed effects model was also conducted to quantify the relationship between land surface temperature differences and tree stand compositions throughout the Heat Wave. The results showed that coniferous stand composition was positively correlated, but deciduous stand composition was negatively correlated with land surface temperature differences. The findings indicated that expanding forested areas could lower land surface temperatures, and deciduous stand composition has the greatest cooling effectiveness. Overall, this study would provide valuable insights for UBC campus planners seeking to implement new strategies to enhance the resilience of the campus climate.
DOI: 10.14288/1.0431351
title: Rose Swanson Mountain Data Collation and Citizen Science

description: This study focuses on the use of citizen science and GIS tools for collecting and analyzing data on Rose Swanson Mountain in British Columbia, Canada. While several organizations collect data on wildlife habitats, trail mapping, and fire documentation on the mountain, there are few studies conducted on the area and citizen science is not being addressed. The study aims to aggregate various data sources and involve citizens in the data collection process using ArcGIS Dashboard and ArcGIS Survey 123. These GIS tools allow for the integration and analysis of different kinds of data, as well as the creation of interactive maps and surveys that can facilitate citizen engagement and data collection. The data used in the dashboard was sourced from BC Data Catalogue, Explore the Map, and iNaturalist. Results show effective citizen participation, with 1073 wildlife observations and 3043 plant observations. The dashboard provides a user-friendly interface for citizens to tailor their map extent and layers, access surveys, and obtain information on each attribute included in the pop-up by clicking. Analysis on classification of fuel types, ecological communities, endangered wildlife species presence and critical habitat, and scope of human activities can be conducted based on the distribution of data. The dashboard can provide direction for researchers to develop research or contribute to other projects in progress, as well as advocate for natural resource managers to use citizen science data. The study demonstrates the potential for GIS and citizen science to contribute to meaningful discoveries and advancements in areas.
DOI: 10.14288/1.0431444
title: Using high spatial resolution satellite imagery (PlanetScope) to count moored marine vessels in desolation sound marine provincial park

description: This study aims to assess the applicability of using high spatial resolution spaceborne imageries (PlanetScope with a 3-meter-pixel size) to monitor the number of marine vessels moored nearshore in Desolation Sound Marine Provincial Park, British Columbia, Canada during the summer and early fall of 2022. The purpose of this study is to understand the number of vessels moored near eelgrass habitat, a critical plant species in the park threatened by boating activities. Twelve trap cameras were set up to capture marine vessel activities during the summer, and filtering and manual counting were conducted to ensure the absolute accuracy of the data. Comparisons are made between the marine vessel counts from trap cameras and satellite imagery for each day throughout the period of study. The results indicate that the use of high spatial resolution spaceborne imageries to monitor the number of marine vessels is applicable and demonstrates 100% accuracy in the range of five undercounts or overcounts. However, during the peak boating season, precision fluctuates due to undercounts, which happen more frequently than precise count or overcounts. Further studies are recommended by ensuring the functionality and increasing the coverage area of trap cameras. Spaceborne imageries with higher-resolution can also be used if cost is not a concern.
DOI: 10.14288/1.0431610
title: Exploring the Potential of 3D Game Engines for Precise and Detailed Geo-Visualization in Forestry Education

description: In response to the growing concern in geographic information science, which pertains to utilizing contemporary internet technology to communicate past information or knowledge for establishing foundations in geography. Recent studies have investigated geomatics solutions for historical city, and enhancing GIS skills through collaborative approach. In this study, we build upon prior research by exploring how the implementation of current technology can promote a cooperative learning environment, particularly within the realm of forestry education. Minetest, the 3D voxel game engine has high capability of modification, for visualizing natural environments and urban structures. The goal of this study was to investigate the potential of using the game engine for forestry education purposes. To meet this objective, we developed precise and detailed models of building structures and their surrounding environment. We also explored the visualization beyond 3D geospatial data, by generating analytical results of solar radiation on building roofs using GIS software. The visualization process was facilitated by the use of 3D light detection and ranging (LiDAR) data, provided by the UBC Campus + Community Planning department. The proposed approach proved to be effective in producing compatible geospatial data for visualization in the game engine. We also conducted exploratory statistical analysis to examine the relationship between building energy usage and solar radiation. The exploratory regression result of the solar radiation analysis has an R2adj of 0.19, which indicates its insignificant impact on building energy usage. Finally, the findings of this research provide a foundation for future studies that can continue to explore the potential of using 3D game engines. Keywords: 3D Geo-Visualization, Forestry Education, Remote Sensing, Light Detection and Ranging (LiDAR), Building Energy Usage, Solar Radiation Analysis
DOI: 10.14288/1.0439799
title: Using Planet data to classify mangrove subtypes in Northwestern Madagascar in 2020 and 2022

description: In response to the growing concerns about mangrove deforestation, recent studies have used various remote sensing technology like satellite imagery to measure the mangrove extent. In this work, we investigated the mangrove distribution in Northwestern Madagascar by using fine spatial imagery with a pixel size as small as 3m and compared it with the result of the traditional method based on relatively coarser Landsat data. Mangroves are an essential biodiverse ecosystem found along tropical and subtropical intertidal beaches, providing critical goods and services to coastal communities, and supporting diverse organisms. However, anthropogenic activities have caused the loss of mangroves in Madagascar, necessitating a new mapping approach utilizing the fine spatial resolution map from Planet data to create a map with advanced detail. The quantitative result central to this work is the new multi-date map of the Tsimipaika- Ampasindava-Ambaro Bays (TAB) from 2020 to 2022, which provides advanced detail and direct comparison with the shift in local mangrove species. The classification maps are based on Random Forest and Maximum Likelihood algorithms, and all of them have an overall accuracy of over 85%. The dynamics of mangrove forests from 2020 to 2022 are quantified, with a 12.6% loss in closed-canopy mangroves, and a 24.1% loss in open-canopy mangroves I am overestimated. Limitations regarding the classification model are also found in this study, including the overestimation of open canopy mangroves caused by the shadow and the seamline in the base map. This result shows the potential of using fine-resolution satellite imagery in supervised land cover classification, and the corresponding challenges raised by the smaller pixel size.