cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5683/sp3/psfhiy
title: Communications, media and internet concentration in Chile, 2019-2021 - Dataset

description: This report investigates media developments and market concentration trends across nearly two dozen communication, internet, and media industries that make up the Chilean network media economy. It begins by examining each covered sector individually before categorizing them into three broader mid-range categories: telecoms and internet access sectors, online and traditional media services, and core internet sectors. The report offers a comprehensive overview of the network media economy from 2019 to 2021. In a country where research on media ownership has been scattered, the aim of this report is to simultaneously analyze specific media sectors to understand their unique characteristics, dynamics, and trends and to gain insight into the general structure of the sector in Chile.
DOI: 10.5683/sp3/mwkthp
title: Appendix A: Chapter 3

description: Appendix A: Chapter 3. This dataset consists of XRD virtual lab book and unit cell refinement data for test minerals of 6 crystal systems.
DOI: 10.5683/sp3/3qxswz
title: Appendix B: Chapter 4

description: Appendix B: Chapter 4. Mineral chemistry of zinc-rich chromite and uvarovite garnet.
DOI: 10.5683/sp3/igslek
title: Appendix C: Chapter 5

description: Appendix C: Chapter 5. This dataset contains XRD virtual lab book, mineral chemistry, strain measurements and optical observations.
DOI: 10.5683/sp3/awpoob
title: Understanding barriers to veterinary involvement in dairy calf health management - complete survey

description: A convenience sample of 128 American and Canadian veterinarians completed an online survey to investigate barriers to veterinary involvement in calf health and identify knowledge gaps in calf health management.
description: STATA, 18.0 SE
DOI: 10.5683/sp3/4avura
title: Appendix D: Chapter 6

description: This dataset consists of XRD virtual lab book, mineral chemistry, strain measurements for a wide range of garnets from kimberlite and non-kimberlite sources.
DOI: 10.5683/sp3/pkzmka
title: Replication Data for: Habitat fragmentation affects richness – a view through a metacommunity lens

description: The purpose of this data set was to aid in testing hypotheses about the role of habitat fragmentation on biodiversity. The common view is that habitat fragmentation leads to decreased species diversity. Some observations and theoretical considerations leave other options open that need material investigation. Modeling the complex processes is one of the approaches.

The data set contains the output of a metacommunity (a collection of species communities connected by dispersal) object-based NetLogo model simulating biodiversity dynamics in landscapes consisting of habitat patches of three different sizes. Landscapes with small, medium, and large virtual patches were inoculated with 50 species of different traits. The patches differed in their suitability for the species, and species were limited to the range of habitats they could use. Their subsequent dynamics over 500 generations (model steps) led to some species surviving and some going extinct. Most variables used random values for patch location, its suitability value, species specialization, reproduction, and movement. The simulations were replicated ten times for each landscape type. The number of surviving species after 500 generations served as input data for answering questions about which habitat type supported species diversity best and under what circumstances. In addition to the number of species, the model kept track of the population sizes, number of species in different habitat types, and species types classified by their ecological specialization. Specifically, the data are organized in seven variables with 150 rows: three landscapes * five habitat suitability categories * ten replicates. For each habitat suitability class, the variables contain a total number of individuals of all species, the number of species present in each habitat class, and a mean connectivity among all the patches in a landscape. The data set also provides the NetLogo code for the simulation and information on how to use it, including publications with more details.
description: NetLogo, 13
description: The manuscript does not have the journal identifier. It will be supplied after it is accepted for publication. The current identifier is for the preprint.
DOI: 10.5683/sp3/doga3n
title: Dryden Area 2021 Beaver Dam Water Chemistry and Watershed Landscape Characteristics

description: This dataset includes water chemistry and watershed landscape data for 5 beaver dam sites and 2 reference stream reaches, including upstream and downstream sampling points, in the Dryden area of northwestern Ontario.
DOI: 10.5683/sp3/pngwet
title: ODRC data schema: Animal reproductive events

description: This is a data schema created using &lt;a href="http://agrifooddatacanada.ca"&gt;Agri-food Data Canada's&lt;/a&gt; &lt;a href= "https://semanticengine.org"&gt; Semantic Engine &lt;a/&gt;. Data schemas describe data that are collected on an ongoing basis from research centres, and provide add-on documentation that enhances the value of raw data. This schema describes data collected from records of reproductive events entered on DairyComp Herd Management Software. This schema is designed to systematically record and organize data about reproductive events, such as breedings, pregnancies, calvings, and any related interventions and allows for the integration of reproductive data with other information in the DairyComp Herd Management Software such as health records, milk production, and herd management data. Data described in this schema is sample data, to request access to the related data, please visit the &lt;a href="https://odrcdata.uoguelph.ca"&gt; Ontario Dairy Research Centre Data Portal&lt;/a&gt;.
description: DairyComp Herd Management Software
description: Agri-food Data Canada's Semantic Engine
DOI: 10.5683/sp3/vneqfx
title: Search strategy for Music in Psychedelic-Assisted Psychotherapy

description: Ce jeu de données contient les stratégies de recherche pour les banques de données suivantes : MEDLINE (OVID), EMBASE (OVID), EBM Reviews (OVID), PsycInfo (OVID), CINAHL Complete (EBSCO) et Google Scholar. Les concepts recherchés sont "music" and "psychedelic-asssisted psychotherapy".
DOI: 10.5683/sp3/2rhw5f
title: Over a decade later, soil carbon stores in boreal forests are resilient to extensive tree mortality

description: The study was conducted across 80 stands dominated by lodgepole pine (Pinus contorta Dougl. Ex. Loud. var. latifolia Engel.) in west-central Alberta, Canada. To assess the influence of mountain pine beetle (MPB; Dendroctonus ponderosae) disturbance on soil carbon and nitrogen storage, we selected disturbed (at least 70% canopy lodgepole pine morality by MPB) and intact stands. Disturbance occurred approximately 12–16 years prior. We surveyed soils and vegetation between June and August 2022. We separated soils into mineral-associated organic matter and particulate organic matter to measure carbon and nitrogen. We collected and scored roots from common plant species observed for mycorrhizal presence and identity and determined the dominant mycorrhizal type of each stand.
DOI: 10.5683/sp3/innevx
title: Replication Data and Code for: The Economics of Canadian Immigration Levels

description: The data and programs replicate tables and figures from "The Economics of Canadian Immigration Levels", by Doyle, Skuterud, and Worswick. Please see the ReadMe file for additional details.

This contains the code and publicly available data used to generate the econometric analysis of our paper as well as the code used to carry out the remaining analysis using the confidential RDC data accessed through the Carleton University RDC.
DOI: 10.5683/sp3/z1udho
title: ODRC data schema: Animal research events

description: This is a data schema created using &lt;a href="http://agrifooddatacanada.ca"&gt;Agri-food Data Canada's&lt;/a&gt; &lt;a href= "https://semanticengine.org"&gt; Semantic Engine &lt;a/&gt;. Data schemas describe data that are collected on an ongoing basis from research centres, and provide add-on documentation that enhances the value of raw data. This schema is applicable to all datasets that collect data from records of research events entered on DairyComp Herd Management Software. This schema is designed to create a framework for recording dairy cattle research event data by establishing a uniform format and structure for recording research events across various datasets and allowing integration of data from multiple sources. Data described in this schema is sample data, to request access to the related data, please visit the &lt;a href="https://odrcdata.uoguelph.ca"&gt; Ontario Dairy Research Centre Data Portal&lt;/a&gt;.
description: DairyComp Herd Management Software
description: Agri-food Data Canada's Semantic Engine
DOI: 10.5683/sp3/gsmyg5
title: ODRC data schema: Animal life events

description: This is a data schema created using &lt;a href="http://agrifooddatacanada.ca"&gt;Agri-food Data Canada's&lt;/a&gt; &lt;a href= "https://semanticengine.org"&gt; Semantic Engine &lt;a/&gt;. Data schemas describe data that are collected on an ongoing basis from research centres, and provide add-on documentation that enhances the value of raw data. This schema is applicable to all datasets collecting data from records of once-in-life events entered on DairyComp Herd Management Software. Once-in-life events refer to significant, unique occurrences that typically happen only once in an animal’s lifetime, such as the initial calving, first breeding, or major health interventions. Once-in-life events are integrated with other data collected in the DairyComp Herd Management Software, such as routine health checks, milk production records, and breeding information. Data described in this schema is sample data, to request access to the related data, please visit the &lt;a href="https://odrcdata.uoguelph.ca"&gt; Ontario Dairy Research Centre Data Portal&lt;/a&gt;.
description: DairyComp Herd Management Software
description: Agri-food Data Canada's Semantic Engine
DOI: 10.5683/sp3/qnndj1
title: ODRC data schema: Animal position

description: This is a data schema created using &lt;a href="http://agrifooddatacanada.ca"&gt;Agri-food Data Canada's&lt;/a&gt; &lt;a href= "https://semanticengine.org"&gt; Semantic Engine &lt;a/&gt;. Data schemas describe data that are collected on an ongoing basis from research centres, and provide add-on documentation that enhances the value of raw data. This schema is applicable to all datasets collecting daily animal position data at the barn extracted from SCR collars, DairyComp Herd Management Software's log files and Insentec VR files. Animal position from SCR is the last position on the day whereas DairyComp Herd Management Software shows all move events on a day or is implied to be the same as the last one informed until animal dies or leaves the herd. Positions from Insentec system is based on bin visits. Data described in this schema is sample data, to request access to the related data, please visit the &lt;a href="https://odrcdata.uoguelph.ca"&gt; Ontario Dairy Research Centre Data Portal&lt;/a&gt;.
description: Dairy Comp Herd Management Software
description: Agri-food Data Canada's Semantic Engine
description: Insentec
DOI: 10.5683/sp3/uptysu
title: Replication Data for: Expert assessments of maritime shipping decarbonization pathways by 2030 and 2050

description: International shipping conveys over 80% of global trade by volume and emits an estimated 3% of the world’s greenhouse gas (GHG) emissions. There are many potential pathways and barriers to decarbonizing the diverse and fragmented international shipping sector, with numerous uncertainties. Here, we employ expert elicitation, gathering perspectives from 149 world-leading experts in maritime shipping and decarbonization, to characterize uncertainties in shipping decarbonization pathways. These experts predict a 30-40% (25th – 75th percentile range) carbon intensity reduction by 2030 compared to 2008, meeting the International Maritime Organization’s (IMO) target. By 2050, they anticipate an approximate 40-75% cut in GHG emissions, falling short of the IMO’s 2050 net-zero GHG goal and thereby not aligning with a 1.5°C warming scenario. Responding experts see decarbonization occurring through three types of measures: operational, technological, and alternative energy sources. In the short-term, decarbonization is predicted to be dominated by operational measures, while in the long-term, it will be dominated by alternative energy, although there is no consensus on which fuels will dominate. Technological upgrades are expected to play crucial supporting roles. The experts believe that differences in business models and governance may lead to different decarbonization pathways by ship segment. The experts’ qualitative responses highlights: alternative energy systems, ship fleet turnover, spillover effects from land-based sectors, mitigation of industry pessimism, and the supply chain as critical leverage points that can propel shipping towards sustainable decarbonization pathways. Navigating this transition demands support from key levers identified in this study: politics and policy, maritime governance, and contractual architecture.
DOI: 10.5683/sp3/cgz8qq
title: ODRC data schema: Animal body condition score

description: This is a data schema created using &lt;a href="http://agrifooddatacanada.ca"&gt;Agri-food Data Canada's&lt;/a&gt; &lt;a href= "https://semanticengine.org"&gt; Semantic Engine &lt;a/&gt;. Data schemas describe data that are collected on an ongoing basis from research centres, and provide add-on documentation that enhances the value of raw data. This schema is applicable to all datasets collecting Body Condition Score (BCS) data collected from BCS cameras placed at the exit of the Milking Parlour and at the exit of the Voluntary Milking System (VMS). Data collection happens after milkings (Parlour and VMS), after foot bath (Monday, Wednesday and Friday afternoons) or at another time when animals are individually brought to the walk-over scale. Data described in this schema is sample data, to request access to the related data, please visit the &lt;a href="https://odrcdata.uoguelph.ca"&gt; Ontario Dairy Research Centre Data Portal&lt;/a&gt;.
description: Agri-food Data Canada's Semantic Engine
DOI: 10.5683/sp3/a1bfnc
title: ODRC data schema: Conformation weight

description: This is a data schema created using &lt;a href="http://agrifooddatacanada.ca"&gt;Agri-food Data Canada's&lt;/a&gt; &lt;a href= "https://semanticengine.org"&gt; Semantic Engine &lt;a/&gt;. Data schemas describe data that are collected on an ongoing basis from research centres, and provide add-on documentation that enhances the value of raw data. This schema is applicable to all datasets collecting animal body weight data. Body Weight is collected on a walk-over scale placed at the exit of the Milking Parlour. Data collection normally happens after milkings (AM or PM), after foot bath (Monday, Wednesday and Friday afternoons) or at another time when animals are individually brought to the walk-over scale. Data described in this schema is sample data, to request access to the related data, please visit the &lt;a href="https://odrcdata.uoguelph.ca"&gt; Ontario Dairy Research Centre Data Portal&lt;/a&gt;.
description: Agri-food Data Canada's Semantic Engine
DOI: 10.5683/sp3/fwrjqb
title: ODRC data schema: Feed aggregation

description: This is a data schema created using &lt;a href="http://agrifooddatacanada.ca"&gt;Agri-food Data Canada's&lt;/a&gt; &lt;a href= "https://semanticengine.org"&gt; Semantic Engine &lt;a/&gt;. Data schemas describe data that are collected on an ongoing basis from research centres, and provide add-on documentation that enhances the value of raw data. This schema is applicable to all datasets collecting aggregated daily feed intakes data for animals fed at the maternity & tie stalls and from Insentec bins. Daily intakes for Insentec data is the sum of all positive intakes per animal per day using data from the Insentec (FR) table (Insentec data from VR files with end weight and intake fixed). Fixing strategy: If start weight of the following visit is equal (cow didn't eat) or smaller than the current visit's start weight (cow ate) and the following visit's start weight is different than the current visit's end weight, then the current visit's end weight is replaced with the start weight of the following visit. These conditions are applied with data grouped by date and bin and sorted ascending by start time. Limitation: Because data is grouped by date, if the last visit of a day registered an incorrect weight to a bin, it will not be corrected with the first visit of the following day of such bin. Additionally, if the start weight of the following visit is greater than the start weight of the current visit, then nothing is done since supplement/more feed could have been added to the bin between visits or the scale was really broken. Further inspection to the data is recommended. Data described in this schema is sample data, to request access to the related data, please visit the &lt;a href="https://odrcdata.uoguelph.ca"&gt; Ontario Dairy Research Centre Data Portal&lt;/a&gt;.
description: Agri-food Data Canada's Semantic Engine
description: Insentec
DOI: 10.5683/sp3/gqdrr5
title: ODRC data schema: Feed analysis reports

description: This is a data schema created using &lt;a href="http://agrifooddatacanada.ca"&gt;Agri-food Data Canada's&lt;/a&gt; &lt;a href= "https://semanticengine.org"&gt; Semantic Engine &lt;a/&gt;. Data schemas describe data that are collected on an ongoing basis from research centres, and provide add-on documentation that enhances the value of raw data. This schema is applicable to all datasets collecting data from reports of Feed Analysis from A&L Canada Lab. Feed analysis reports generated by A&L Canada Lab provide detailed information about the nutritional composition and quality of feed samples tested. This schema outlines the structure and format for organizing and managing the data obtained from these feed analysis reports. This data can also be integrated with other herd management data, such as milk production, health records, and reproduction data. Data described in this schema is sample data, to request access to the related data, please visit the &lt;a href="https://odrcdata.uoguelph.ca"&gt; Ontario Dairy Research Centre Data Portal&lt;/a&gt;.
description: Agri-food Data Canada's Semantic Engine
DOI: 10.15468/dl.eb9bsr
title: Occurrence Download

description: A dataset containing 9776481 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Strigiformes",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Observation)"
 ]
}

 The dataset includes 9776481 records from 4949 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008954-250515123054153/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.28848356
title: Switch-like gene expression modulates disease risk

description: Supplementary Data from the manuscript "Switch-like gene expression modulates disease risk."<br>Nature Communications 2025.
DOI: 10.5281/zenodo.15273540
title: Database_ Starlink Review Article_MD Showket Hasan

description: Supplementary Data: This file (.xlsx) contains the comprehensive data extraction database compiled for the integrative literature review "Starlink and the Global Digital Divide: A Review of LEO Technology, Performance, Socio-Economic Impacts, and Sustainability Challenges". It details key findings, numerical data, thematic insights, and source characteristics extracted from the N=70 sources informing the Introduction through Discussion sections of the review article.
DOI: 10.5281/zenodo.15273541
title: Database_ Starlink Review Article_MD Showket Hasan

description: Supplementary Data: This file (.xlsx) contains the comprehensive data extraction database compiled for the integrative literature review "Starlink and the Global Digital Divide: A Review of LEO Technology, Performance, Socio-Economic Impacts, and Sustainability Challenges". It details key findings, numerical data, thematic insights, and source characteristics extracted from the N=70 sources informing the Introduction through Discussion sections of the review article.
DOI: 10.2909/f2dab19c-57d5-4b26-9c1b-9dababff1f2a
title: Water Cover Duration 2016-present (raster 100 m), Europe, annualy

description: This metadata covers the Water Cover Duration (WCD) product which is one of the products of the pan-European High-Resolution Water Snow & Ice portfolio (HR-WSI), which are provided at high spatial resolution from the Sentinel-2 and Sentinel-1 constellations data from September 1, 2016 onwards.
The High Resolution Water Layer portfolio consists of the Water Layer (WL), the Water Presence Index (WPI), the Water confidence layer (WCL) and the Rolling archive (WLRA).
The WCD is generated on a yearly basis, starting in 2017 (01.09 to 30.08 each year), and is published in October. It provides an estimated number of days during which the area was covered by water for each pixel within the entire EEA-38+UK region.
The product is derived from data obtained from the Sentinel-1 and Sentinel-2 satellites, as well as from the Sentinel-2 Water and Ice Cover (WIC S2) product. The product has a spatial resolution of 10m x 10m and 100 m x 100 m, is delivered in LAEA and WGS84/UTM projection and is updated on an annual basis. This methodology results in a high-quality WCD information layer.

The WCD product represents one of the two water products within the overall WSI product portfolio, which includes not only water but also snow and ice data.
DOI: 10.26208/xnts-7z72
title: RAP and WSR-88D PBLH Estimates

description: Estimates of planetary boundary layer height (PBLH) from the Rapid Refresh (RAP) model and from WSR-88D observations using the algorithm described in Stouffer et al. (2025). The file contains hourly estimates (time is UTC) of PBLH at 50 WSR-88D locations across CONUS. The file also contains RAP output of variables relevant to the surface energy budget at each location, although most were not used in the aforementioned study.
DOI: 10.15468/dl.826pfu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cobitis stephanidisi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-6.6 29.26705, -6.6 50.94, 40.81373 50.94, 40.81373 29.26705, -6.6 29.26705))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048783-250811113504898/datasets/export for details.
DOI: 10.7910/dvn/c3y7xo
title: Impact of Human Capital and Remittances on Agricultural Productivity in Bangladesh

description: This is the dataset file (.dta) containing all the variables used for the paper, “Impact of Human Capital and Remittances on Agricultural Productivity in Bangladesh.” The dataset consists of secondary data and is structured as a panel. The original source of this dataset is Household Income and Expenditure Survey (HIES) data collected by the Bangladesh Bureau of Statistics. (2025-05-22)
DOI: 10.15468/dl.mqmzdw
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Nyctimene rabori Heaney & Peterson, 1984"
 ]
}

 The dataset includes 114 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009279-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.