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IPBES Data Management Tutorials - Session 6.2: Literature review from the Global Assessment chapter 4
<p>The <em>IPBES data management tutorials</em> are short videos to help experts implement the IPBES data management Policy. They cover topics ranging from data management policy, reports, active research data, tools, and examples.</p> <p>The chapter on<em> Examples of implementing the IPBES data management Policy</em> contains examples of how certain data management tasks and workflows were implemented within IPBES so that they follow the data management policy. <strong>Currently, this chapter contains legacy videos and the most recent examples can be found within the IPBES technical guidelines here:</strong> <a href="https://ict.ipbes.net/ipbes-ict-guide/data-management/technical-guidelines">https://ict.ipbes.net/ipbes-ict-guide/data-management/technical-guidelines</a></p> <p>This session <em>Literature review from the Global Assessment chapter 4 </em>walks you through each step of the data management of the systematic literature review from the Chapter 4 of the Global Assessment. </p>
Coding table for chapter 30 'Valency change and causation' in Bowern (ed. 2023)
<p>This is the coding table used for chapter 30 'Valency change and causation' (pp. 344-359) in the <i>Oxford Guide on Australian Languages </i>(Bowern, ed. 2023).</p>
IPBES Assessment of the diverse values and valuation of nature - Tables presented in Chapter 4
<p>These tables are an integral part of Chapter 4 of the Methodological assessment of the diverse values and valuation of nature of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services. To see the full document visit the related links. </p>
IPBES Assessment of the diverse values and valuation of nature - Tables presented in Chapter 3
<p>These tables are an integral part of Chapter 3 of the Methodological assessment of the diverse values and valuation of nature of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services. To see the full document visit the related links. </p>
IPBES Assessment of the diverse values and valuation of nature - Tables presented in Chapter 6
<p>These tables are an integral part of Chapter 6 of the Methodological assessment of the diverse values and valuation of nature of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services. To see the full document visit the related links. </p>
IPBES Assessment of the diverse values and valuation of nature - Tables presented in Chapter 5
<p>These tables are an integral part of Chapter 5 of the Methodological assessment of the diverse values and valuation of nature of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services. To see the full document visit the related links. </p>
Detecting small changes in tropical forests from space... data and code for thesis chapter 4
<p>SAR and UAV-LiDAR data used in chapter 4 of my thesis <em>Detecting small changes in tropical forests from space: experiments using synthetic aperture radar. </em>This content has also been submitted for peer review in Frontiers in Remote Sensing.</p> <p>DEM_timeseries_3m contains phase height and coherence from TanDEM-X InSAR high-resolution spolight images, processed by Jose-Luis Bueso-Bello at DLR. NetCDF format, dimensions latitude, longitude, time.</p> <p>TDX_descending_intensity contains intensity from the same TanDEM-X time series, covering an area of the Madre de Dios region in Peru. These data were processed by Harry Carstairs using ESA's SNAP software.</p> <p>UAV_change_1m_mask is a raster showing the change in canopy height at the study site between June 2019 and July 2021, according to two UAV LiDAR campaigns, with 1m pixels, and with areas with low point density masked out.</p> <p>CODE.zip contains python scripts and notebooks used to collate the data, create change detection metrics, develop SAR models of canopy height, and produce the figures.</p> <p>Funded by European Research Council (ERC) grant to the Tropical Forest Degradation Experiment (FODEX).</p>
IPBES Invasive Alien Species Assessment, list of literature for Chapter 3
<p>This list of literature represents the literature reviewed for chapter 3 of IPBES thematic assessment of invasive alien species and their control. Please see respective data management report for more details.</p><p>For each data management report, please refer to below links:</p><p>3.2.1 Socio-cultural drivers and social values: <a href="http://doi.org/10.5281/zenodo.8031019">10.5281/zenodo.8031019</a></p><p>3.2.2.1 Regional and national changes in human population density: <a href="http://doi.org/10.5281/zenodo.8031519">10.5281/zenodo.8031519</a></p><p>3.2.2.2 Human migration: <a href="http://doi.org/10.5281/zenodo.8032105">10.5281/zenodo.8032105</a></p><p>3.2.2.3 International crises: armed conflict and humanitarian aid: <a href="http://doi.org/10.5281/zenodo.8032211">10.5281/zenodo.8032211</a></p><p>3.2.2.4 Urbanisation: <a href="http://doi.org/10.5281/zenodo.5553573">10.5281/zenodo.5553573</a></p><p>3.2.3.5 Externalities of negative impacts and cost: <a href="http://doi.org/10.5281/zenodo.8032327">10.5281/zenodo.8032327</a></p><p>3.2.4.1 Research: <a href="http://doi.org/10.5281/zenodo.5717444">10.5281/zenodo.5717444</a></p><p>3.2.4.2 Development of communication technology:<a href="http://doi.org/10.5281/zenodo.8035280">10.5281/zenodo.8035280</a></p><p>3.2.4.3 Breeding and genomic technologies: <a href="http://doi.org/10.5281/zenodo.5591058">10.5281/zenodo.5591058</a></p><p>3.2.5 Policies, governance, and institutions: <a href="http://doi.org/10.5281/zenodo.5717451">10.5281/zenodo.5717451</a></p><p>3.3.1.1 Introductions intentionally or accidentally from agriculture, forestry, fisheries, and aquaculture: <a href="http://doi.org/10.5281/zenodo.8035344">10.5281/zenodo.8035344</a></p><p>3.3.1.2 Fragmentation of ecosystems: <a href="http://doi.org/10.5281/zenodo.8035352">10.5281/zenodo.8035352</a></p><p>3.3.1.3 Creation of anthropogenic corridors: <a href="http://doi.org/10.5281/zenodo.5529361">10.5281/zenodo.5529361</a></p><p>3.3.1.5 Changes in landscape - seascape disturbance regimes (intensification and reduction): <a href="http://doi.org/10.5281/zenodo.8036425">10.5281/zenodo.8036425</a></p><p>3.3.1.6 Landscape and seascape degradation: <a href="http://doi.org/10.5281/zenodo.5533042">10.5281/zenodo.5533042</a></p><p>3.3.2.3 Mining (minerals, metal, oil, fossils fuels): <a href="http://doi.org/10.5281/zenodo.8036498">10.5281/zenodo.8036498</a></p><p>3.3.3.1 Eutrophication and nitrient deposition: <a href="http://doi.org/10.5281/zenodo.8036544">10.5281/zenodo.8036544</a></p><p>3.3.3.2 Other contaminants in water and soil: <a href="http://doi.org/10.5281/zenodo.5587987">10.5281/zenodo.5587987</a></p><p>3.3.3.3 Marine debris: <a href="http://doi.org/10.5281/zenodo.5588374">10.5281/zenodo.5588374</a></p><p>Box 3.8: <a href="http://doi.org/10.5281/zenodo.5588389">10.5281/zenodo.5588389</a></p><p>3.3.4.1 Temperature change: <a href="http://doi.org/10.5281/zenodo.8036828">10.5281/zenodo.8036828</a></p><p>3.3.4.2 Precipitation: <a href="http://doi.org/10.5281/zenodo.8036879">10.5281/zenodo.8036879</a></p><p>3.3.4.3 Climate extremes: <a href="http://doi.org/10.5281/zenodo.5533052">10.5281/zenodo.5533052</a></p><p>3.3.4.4 Carbon dioxide enrichment in air, water: <a href="http://doi.org/10.5281/zenodo.8037007">10.5281/zenodo.8037007</a></p><p>3.3.4.5 Fire regime changes: <a href="http://doi.org/10.5281/zenodo.5591070">10.5281/zenodo.5591070</a></p><p>3.3.4.6 sea level rise: <a href="http://doi.org/10.5281/zenodo.8037086">10.5281/zenodo.8037086</a></p><p>Box 3.9 Assisted colonisation: <a href="http://doi.org/10.5281/zenodo.5535113">10.5281/zenodo.5535113</a></p><p>3.3.5.1 Biotic facilitation: <a href="http://doi.org/10.5281/zenodo.5722695">10.5281/zenodo.5722695</a></p><p>3.3.5.2 Unintended consequences of management (including biological control): <a href="http://doi.org/10.5281/zenodo.8037235">10.5281/zenodo.8037235</a></p><p>3.4.1 Natural hazards: <a href="http://doi.org/10.5281/zenodo.5533488">10.5281/zenodo.5533488</a></p><p>3.5.4 Urbanisation and Pollution: <a href="http://doi.org/10.5281/zenodo.5588440">10.5281/zenodo.5588440</a></p><p>Figure 3.34: <a href="http://doi.org/10.5281/zenodo.7861162">10.5281/zenodo.7861162</a></p><p> </p>
IPBES Data Management Tutorials - Chapter 5: Tools for data management
<p>The <em>IPBES data management tutorials</em> are short videos to help experts implement the IPBES data and knowledge management Policy. They cover topics ranging from data and knowledge management policy, reports, active research data, tools, and examples.</p> <p>Please note that the IPBES data and knowledge management policy is the second version of the IPBES data management policy.</p> <p>This chapter provides IPBES authors with an overview of open source tools used frequently by the scientific community to help it implement data management for the entire data life cycle. The chapter includes the following sessions: </p> <ul> <li>Session 5-1: Introduction to tools for data management (<a href="https://doi.org/10.5281/zenodo.4018639">10.5281/zenodo.4018639</a>)</li> <li>Session 5-2: Tools to find and attribute DOIs (<a href="https://doi.org/10.5281/zenodo.4018643">10.5281/zenodo.4018643</a>)</li> <li>Session 5-3: Literature access tools (<a href="https://doi.org/10.5281/zenodo.4014824">10.5281/zenodo.4014824</a>)</li> <li>Session 5-4: Processing and analysis (<a href="https://doi.org/10.5281/zenodo.4018647">10.5281/zenodo.4018647</a>)</li> <li>Session 5-5: References and citation manager: Zotero (<a href="https://doi.org/10.5281/zenodo.4018653">10.5281/zenodo.4018653</a>)</li> <li>Session 5-6: Publishing and sharing (<a href="https://doi.org/10.5281/zenodo.4018655">10.5281/zenodo.4018655</a>)</li> </ul>
Dataset for CoordiNet D6.2 - Chapter 4 - Evaluation of Combinations of Coordination Schemes and Products for Grid Services
<p>This is a supporting material for chapter 4 of CoordiNet D6.2. The deliverable is available at:</p> <p><a href="https://coordinet-project.eu/publications/deliverables">CoordiNet deliverables (coordinet-project.eu)</a></p> <p>The dataset is composed by an interconnected system consisting of the IEEE 14-bus (TN) transmission network connected to three distribution networks: the Matpower systems 18-bus (DN_18), 69-bus (DN_69), and 141-bus (DN_141). All systems topology and some parameters are based on the corresponding cases in Matpower [1]. Base demand is adapted from the case, while base generation profiles are added to all nodes. All distribution systems are balanced, and the transmission system is imbalanced. Thermal limits of the lines are adapted in order to create congestion in the systems. Each distribution system is connected to the transmission system through one line, which has capacity of 1.0. The interconnected system is fully represented in "Network.xlsx", in which:</p> <ul> <li>System: transmission (TN) or distribution (DN_18, DN_69, DN_141);</li> <li>LineID: ID of the lines;</li> <li>BusNumber: number of the nodes within the systems. This parameter is used to define the lines (from/to);</li> <li>BaseDemand and BaseSupply: base active demand and generation of each node;</li> <li>ConnectedDN: distribution system to which the transmission system node is connected to. If blank, the node is not connected to any distribution system. Only for the transmission system;</li> <li>InterfaceCapacity: thermal limit of the interface between the transmission and distribution systems;</li> <li>ThermalLimit: thermal limit of the transmission/distribution systems lines. For distribution systems, a value of 10 indicates that the line has no limit; </li> <li>SFTN: shift factor matrix of the transmission system. Capture the change in the active power flow over a line due to a change in injection or offtake at a node;</li> <li>BaseReactiveDemand and BaseReactiveSupply: base reactive demand and generation at each node. Only for distribution systems;</li> <li>VoltageLB and VoltageUB: lower and upper limits for the magnitude squared of the voltage in each distribution system node. Only for distribution systems;</li> <li>ConnectedTN: identify if the distribution node is connected or not to the transmission system. Only for distribution systems;</li> <li>ResistanceR: resistence of the distribution system lines. Only for distribution systems;</li> <li>ReactanceX: reactance of the distribution system lines. Only for distribution systems.</li> </ul> <p>Flexibility bids are randomly generated in the different nodes. For downward flexibility bids, the prices are drawn from the uniform distribution in the range 10 to 15, and for upward flexibility bids, they are drawn from the range 50 to 55. The bids maximum quantities are generated according to the base demand or supply of the node from which they are connected. The generated orderbook is presented in "OrderbookTN" (transmission system) and "OrderbookDN" (distribution systems):</p> <ul> <li>OrderID: the ID of the order, to make each order unique;</li> <li>System: the system (TN, DN_18, DN_69, DN_141) from which the order is offered;</li> <li>BusNumber: the node from which the order is offered;</li> <li>FlexibilitySense: UPWARD for increase in generation or decrease in demand; DOWNWARD for increase in demand or decrease in generation;</li> <li>Price: the submitted order price;</li> <li>Quantity: the maximum quantities of the order.</li> </ul> <p>In addition, table check_system contains the forecasted flows over lines before flexibility activation. For the transmission system, the SFTN is used and only active power is calculated. For the distribution systems, a linearized model of the power flow is used, thus active and reactive power are calculated:</p> <ul> <li>System: the system (TN, DN_18, DN_69, DN_141) where the line is located;</li> <li>From/to: bus numbers of the connection;</li> <li>Flow: forecasted active flow over transmission system lines;</li> <li>Flow P/Flow Q: forecasted active/reactive flow over distribution system lines (also for interface flows TN-DN);</li> <li>Congestion: if congestion is forecasted over the line.</li> </ul> <p>Source of the systems' topology:</p> <p>[1] R. D. Zimmerman, C. E. Murillo-Sanchez, and R. J. Thomas, “Mat-power: Steady-state operations, planning, and analysis tools for power systems research and education,” IEEE Transactions on power systems, vol. 26, no. 1, pp. 12–19, 2010.</p> <p>Please notice that this dataset does not replace the information provided by Matpower related to the aforementioned systems. It rather uses those systems topology and some of their parameters to build a case study to investigate TSO-DSO coordination market models for the procurement of flexibility. For the full description of these systems, please visit: <a href="https://matpower.org/">MATPOWER – Free, open-source tools for electric power system simulation and optimization</a>.</p>
Data and outputs for chapter 'The impacts of the 2019-20 wildfires on Australian fungi ' in 'Australia's Megafires: Biodiversity Impacts and Lessons from 2019-2020
<p><strong>Dataset includes raw data downloaded from the following sources: fungi_data.csv</strong></p> <ul> <li>Atlas of Living Australia occurrence download: https://doi.org/10.26197/ala.9e0ca388-9da2-4096-b1a3-26e2aaa51d8a. Accessed 2021-09-16. GBIF.org (16 September 2021)</li> <li>GBIF Occurrence Download https://doi.org/10.15468/dl.secenk</li> <li>Fungimap (https://fungimap.org.au/ (data obtained directly from Fungimap Inc.)</li> <li>MycoPortal (https://mycoportal.org/portal/index.php)</li> <li>iNaturalist (https://www.inaturalist.org/home)</li> </ul> <p><strong>Output files from point and polygon overlap with fire layer:</strong></p> <ul> <li>Fungi and fire analysis point overlap.xlsx</li> <li>Fungi and fire analysis polygon overlap.xlsx</li> </ul> <p> </p> <p> </p>
Raw data for the book chapter "Review of Haptic and Computerized (Simulation) Games on Climate Change"
<p>Raw data used for the book chapter "Gerber, A., Ulrich, M., Wäger, P. (2021). Review of Haptic and Computerized (Simulation) Games on Climate Change. In: Wardaszko, M., Meijer, S., Lukosch, H., Kanegae, H., Kriz, W.C., Grzybowska-Brzezińska, M. (eds) Simulation Gaming Through Times and Disciplines. ISAGA 2019. Lecture Notes in Computer Science(), vol 11988. Springer, Cham. <a href="https://doi.org/10.1007/978-3-030-72132-9_24">https://doi.org/10.1007/978-3-030-72132-9_24</a>"</p> <p>The documents include the raw data (both as .csv and .xlsx files with the same content), as well as the publication (.pdf file). The data collection process and the data itself are described in the publication. The data is published as "supplementary material" on the publisher's homepage.</p>
IPBES Assessment of the diverse values and valuation of nature - Figures presented in Chapter 2
<p>These figures are an integral part of Chapter 2 of the Methodological assessment of the diverse values and valuation of nature of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services. To see the full document visit the related links. </p>
IPBES Assessment of the diverse values and valuation of nature - Figures presented in Chapter 1
<p>These figures are an integral part of Chapter 1 of the Methodological assessment of the diverse values and valuation of nature of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services. To see the full document visit the related links. </p>
IPBES Assessment of the diverse values and valuation of nature - Figures presented in Chapter 3
<p>These figures are an integral part of Chapter 3 of the Methodological assessment of the diverse values and valuation of nature of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services. To see the full document visit the related links. </p>
IPBES Assessment of the diverse values and valuation of nature - Figures presented in Chapter 6
<p>These figures are an integral part of Chapter 6 of the Methodological assessment of the diverse values and valuation of nature of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services. To see the full document visit the related links. </p>
IPBES Assessment of the diverse values and valuation of nature - Figures presented in Chapter 5
<p>These figures are an integral part of Chapter 5 of the Methodological assessment of the diverse values and valuation of nature of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services. To see the full document visit the related links. </p>
IPBES Assessment of the diverse values and valuation of nature - Figures presented in Chapter 4
<p>These figures are an integral part of Chapter 4 of the Methodological assessment of the diverse values and valuation of nature of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services. To see the full document visit the related links. </p>
Chapter 3: Scale Separation Reliability: What Does it Mean in the Context of Comparative Judgement?
<p>This is the supplementary material for Chapter 3 of the dissertation "Beyond a Mere Rank Order: The Method, the Reliability and the Efficiency of Comparative Judgment" and the article "Scale separation reliability: What does it mean in the context of comparative judgment?" published in "Applied Psychological Measurement".</p>
Supplementary Dataset: chapter 9 of "Chemostratigraphy Across Major Chronological Boundaries"
<p>This dataset belongs to the book chapter (ch 9): "Chemostratigraphy across the Permian-Triassic Boundary: The Effect of Sampling Strategies on Carbonate-carbon Isotope Stratigraphic Markers" written by: Schobben, M., Heuer, F., Tietje, M., Ghaderi, A., Korn, D., Korte, C., Wignall, P.B., as part of the book: "Chemostratigraphy Across Major Chronological Boundaries", published by the American Geophysical Union and Wiley, The book is edited by Sial, A.N., Gaucher, C., Ramkumar, M., Ferreira, V.P. and is due to appear in Januari 2019. The dataset is the bulk carbonate carbon and oxygen isotope data used in the aforementioned chapter. The x and y column refer to coordinates on the drilled surface of the polished rock slabs.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.