cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26050/wdcc/ar6.c6dacccehv
title: IPCC DDC: CCCma CanESM5 model output prepared for CMIP6 DAMIP hist-volc

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.DAMIP.CCCma.CanESM5.hist-volc' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The CanESM5 climate model, released in 2019, includes the following components: aerosol: interactive, atmos: CanAM5 (T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa), atmosChem: specified oxidants for aerosols, land: CLASS3.6/CTEM1.2, landIce: specified ice sheets, ocean: NEMO3.4.1 (ORCA1 tripolar grid, 1 deg with refinement to 1/3 deg within 20 degrees of the equator; 361 x 290 longitude/latitude; 45 vertical levels; top grid cell 0-6.19 m), ocnBgchem: Canadian Model of Ocean Carbon (CMOC); NPZD ecosystem with OMIP prescribed carbonate chemistry, seaIce: LIM2. The model was run by the Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, BC V8P 5C2, Canada (CCCma) in native nominal resolutions: aerosol: 500 km, atmos: 500 km, atmosChem: 500 km, land: 500 km, landIce: 500 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.5281/zenodo.14986414
title: CMIP6 input data usage information for IPCC WGI AR6 figure 3.7

description: The record contains information on input dataset usage and citation information from the WCRP Coupled Model Intercomparison Project Phase 6 (CMIP6) for the generation of figure 3.7 of the Sixth Assessment Report of Working Group I of the Intergovernmental Panel on Climate Change (IPCC AR6 WGI). CMIP6 data that were used as input to this figure follow the Data Reference Syntax. Persistent Identifiers (PIDs) for data identification (provenance) are available for individual datasets as Handle IDs. DOIs for data citation are available on the following dataset collections: CMIP6 DOIs contain all datasets provided by an Earth System model to a CMIP6 experiment. The data subsets of CMIP6 dataset collections used in the IPCC AR6 WGI have DOIs at this granularity of a model contribution to an experiment. The AR6 subset DOIs are included because they reside in a long-term preservation archive hosted by the IPCC Data Distribution Centre (DDC).

The uploaded human-readable csv file provides a list of datasets/Handle IDs used for the generation of this figure grouped by the corresponding dataset collections they belong to. The machine-actionable json-ld file describes the record as Complex Citation Object (see Agarwal et al., 2024, https://doi.org/10.5281/zenodo.14106602) in a preliminary standard, using the following vocabulary to specify the different functions of the contained Linked Digital Objects: Credit (input dataset collection to be cited/to which credit is to be assigned), Provenance (dataset contributing information to the generation of the DataProduct), archivedAt (dataset collection with long-term preservation), DigitalDocument (referenced papers containing further information), DataProduct (generated final dataset), ImageObject (visualization of the DataProduct), SoftwareSourceCode (software applied to generate the DataProduct), Chapter (IPCC AR6 WGI chapter in which the DataProduct is used/referenced).

Use and cite this record when referring to the generation of IPCC WGI AR6 figure 3.7.
DOI: 10.25493/ta54-1n8
title: Probabilistic cytoarchitectonic map of Area Ph3 (PhG) (v7.2)

description: This dataset contains the distinct architectonic Area Ph3 (PhG) in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to Area Ph3 (PhG). The probability map of Area Ph3 (PhG) are provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets.
DOI: 10.5168/mosaic019.1
title: MOSAIC – database of Modern Ocean Sediment Archive and Inventory of Carbon
DOI: 10.1285/i24212113v9i1p64
title: Individual and community-related paths to civic engagement: A multiple mediation model deepening the role of sense of responsible togetherness, community trust, and hope

description: Civic engagement behaviors (CEB) refer to the activation of citizens' resources to face community problems. However, modern local communities are characterized by lower rates of civic engagement, especially among youths. Therefore, this study deepens the role of some individual and community-related assets which could foster citizens' CEB. It specifically addresses two research questions: (a) which are the social roots of citizens' feelings of Hope, and (b) what role citizens' Sense of Responsible Togetherness (SoRT), Community Trust, and Hope play as to their CEB. An online questionnaire was administered to 486 Italian citizens aged between 18 and 30. A multiple mediation model was run with Structural Equation Modelling to test the role of Hope as a mediator in the relationships of SoRT and Community Trust with CEB. The results confirmed all the hypotheses, supporting both (a) the social roots of Hope and (b) its role as a mediator in the considered relationships between community-related assets and CEB. Overall, relying on positive representations of how to live together in one's community and how the latter is able to meet its members' needs showed a critical role as to citizens' civic engagement, both directly and via an enhanced feeling of Hope. This provides Institutions and stakeholders with hints about the dimensions of communities to be fostered and strengthened in order to counteract the pessimistic visions and the lack of civic engagement now characterizing them.
DOI: 10.1594/pangaea.913496
title: Annual dynamics of global land cover and its long-term changes from 1982 to 2015, link to GeoTIFF files

description: Land cover is the physical evidence on the surface of the Earth. As the cause and result of global environmental change, land cover change (LCC) influences the global energy balance and biogeochemical cycles. Continuous and dynamic monitoring of global LC is urgently needed. Effective monitoring and comprehensive analysis of LCC at the global scale are rare. With the latest version of GLASS (The Global Land Surface Satellite) CDRs (Climate Data Records) from 1982 to 2015, we built the first record of 34-year long annual dynamics of global land cover (GLASS-GLC) at 5 km resolution using the Google Earth Engine (GEE) platform. Compared to earlier global LC products, GLASS-GLC is characterized by high consistency, more detailed, and longer temporal coverage. The average overall accuracy for the 34 years each with 7 classes, including cropland, forest, grassland, shrubland, tundra, barren land, and snow/ice, is 82.81 % based on 2431 test sample units. We implemented a systematic uncertainty analysis and carried out a comprehensive spatiotemporal pattern analysis. Significant changes at various scales were found, including barren land loss and cropland gain in the tropics, forest gain in northern hemisphere and grassland loss in Asia, etc. A global quantitative analysis of human factors showed that the average human impact level in areas with significant LCC was about 25.49 %. The anthropogenic influence has a strong correlation with the noticeable vegetation gain, especially for forest. Based on GLASS-GLC, we can conduct long-term LCC analysis, improve our understanding of global environmental change, and mitigate its negative impact. GLASS-GLC will be further applied in Earth system modeling to facilitate research on global carbon and water cycling, vegetation dynamics, and climate change. This GLASS-GLC data set is related to the paper at doi:10.5194/essd-2019-23. It consists of one readme file and 34 GeoTIFF files of annual 5 km global maps from 1982 to 2015 in a WGS 84 projection.
DOI: 10.17190/amf/1985455
title: AmeriFlux FLUXNET-1F US-xTA NEON Talladega National Forest (TALL)

description: This is the AmeriFlux Management Project (AMP) created FLUXNET-1F version of the carbon flux data for the site US-xTA NEON Talladega National Forest (TALL). This is the FLUXNET version of the carbon flux data for the site US-xTA NEON Talladega National Forest (TALL) produced by applying the standard ONEFlux (1F) software. Site Description - The TALL terrestrial field site covers 5300 hectares within the larger Oakmulgee District of the Talladega National Forest (475,000 hectares) in west-central Alabama. TALL is located within the Gulf Coastal Plain which is the dominant physiographic province (52%) of NEON's Domain 8: Ozarks Complex. It is also where the upper coastal plain gives rise to the Appalachian foothills. The lands of this region are rich a mosaic of forest types and habitats. Steep ridges to rolling hills fading to hardwood bottoms make up the diversity of forest conditions found in Oakmulgee. While known for its longleaf forests, over 40% of Oakmulgee is covered with a mixture of hardwoods and wetlands.
DOI: 10.17632/3xz8n3r96j.2
title: N Cycling through Succession at Blandy Experimental Farm

description: These data were collected from 2017-2021 at Blandy Experimental Farm. Blandy Experimental Farm (BEF), located in Boyce, Clarke County, Virginia (39.06, -78.07), is a 300-hectare research, education, and outreach field station operated by the University of Virginia. BEF has two replicate chronosequences consisting of adjacent fields in three successional stages – early, mid, and late. All fields were formerly used for agriculture and were abandoned in 2001 and 2003 (early), 1986 and 1987 (mid), and prior to 1910 and 1920 (late). 5 plots within each field (total of 30 plots) were repeatedly sampled for soil and vegetation N characteristics, including total soil C and N, net N mineralization and nitrification, soil leaching potential, soil inorganic N, live foliar N, litter N, and 15N natural abundance. See metadata in each file for specific information about each dataset.
DOI: 10.17632/xyzt9gjzhj.1
title: In-situ reduction of Fe(Ⅲ) (hydr)oxides-adsorbed As(Ⅴ) via electron shuttling in the presence of organic matter

description: OM can promote microbial As(V) reduction in high As groundwater systems. As a result, we explored how As(V) adsorbed on FeOOH minerals could be in-situ reduced via electron shuttling between AsRB and different OM. Our findings showed that AQDS was more effective than other two natural organic matter (NOM, i.e., SRHA and SRFA) in reducing both As(V) and Fe(III), due to its high content of quinone moieties. The results of kinetic analysis demonstrated in-situ reduction of As(V), and As(V) bound to ferrihydrite was more readily reduced than As(V) bound to goethite. In addition, the transcriptional activities of three As metabolic genes initially increased but later declined due to high As concentrations, which further slowed the As(V) reduction process. Therefore, we studied As and Fe species at four locations in our designed anaerobic agar electron shuttle device, and changes in relative expression levels of three As metabolic genes (arsC, arrA and arsB).
DOI: 10.18434/t48g6x
title: XCOM-Photon Cross Sections Database, NIST Standard Reference Database 8
DOI: 10.20394/vwyl2on6
title: Glasgow 3D city models derived from airborne LiDAR point clouds licensed data

description: UBDC generates 3D city models via the airborne LiDAR point clouds acquired between 2020-2021 on behalf of Glasgow City Council. We prepared a set of training and validation data to classify the whole LiDAR dataset for subsequent 3D model construction.
DOI: 10.23698/aida/lund-probe
title: LUND-PROBE - LUND Prostate Radiotherapy Open Benchmarking and Evaluation dataset

description: Radiotherapy treatment for prostate cancer relies on computed tomography (CT) and/or magnetic resonance imaging (MRI) for delineation of radiation targets and organs at risk (OARs). Manual delineation of these volumes is regarded as the gold standard for ground truth in machine learning applications but to acquire such data is tedious and time-consuming. A publicly available clinical dataset is introduced comprising MRI images, synthetic CT (sCT) images, target and OARs delineations, and radiotherapy dose distributions for 432 prostate cancer patients treated with an MRI-only radiotherapy workflow. An extended dataset with 35 patients is also included, containing the data mentioned above together with deep learning (DL)-generated delineations, DL uncertainty maps, and DL structures manually edited by four radiation oncologists. The publication of these resources aims to aid research within the fields of automated radiotherapy planning and structure delineation, inter-observer analyses, and DL uncertainty investigation.
DOI: 10.25493/f2jh-kvv
title: Probabilistic cytoarchitectonic map of Area FG2 (FusG) (v1.4)

description: This dataset contains the distinct architectonic Area FG2 (FusG) in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to Area FG2 (FusG). The probability map of Area FG2 (FusG) is provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Other available data versions of Area FG2 (FusG): Caspers et al. (2018) [Data set, v1.2] [DOI: 10.25493/X835-SK7](https://doi.org/10.25493%2FX835-SK7) The most probable delineation of Area FG2 (FusG) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.13] [DOI: 10.25493/Q3ZS-NV6](https://doi.org/10.25493%2FQ3ZS-NV6) Amunts et al. (2019) [Data set, v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D)
DOI: 10.25493/jfqa-6ev
title: Probabilistic cytoarchitectonic map of Area Ph2 (PhG) (v7.2)

description: This dataset contains the distinct architectonic Area Ph2 (PhG) in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to Area Ph2 (PhG). The probability map of Area Ph2 (PhG) are provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets.
DOI: 10.25493/wwd5-2jx
title: Probabilistic cytoarchitectonic map of Area Ph1 (PhG) (v7.2)

description: This dataset contains the distinct architectonic Area Ph1 (PhG) in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to Area Ph1 (PhG). The probability map of Area Ph1 (PhG) are provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets.
DOI: 10.26187/deakin.22565158.v2
title: Heatwaves cause relative fitness decline in aquatic insects by altering life history and host-pathogen relationships - Data and R scripts

description: <br>Data and r scripts related to the paper.<br><b>InfectTempDataStored -</b>Daily data from saprolegnia experimental heatwave experiment 2021. Data includes egg mass identification and the related infection, hatching and dead eggs for each day until the completion of the experiment.column namesDate - Date of observationDay - Numbered day of experiment on given dateTemps - Temperature name given to each treatment. 22.5 = High, 12.5 = Low and Spike = SpikePersonnel - Initials of individuals taking observations on given day/dateRo_ID - Identification number of rockCl_ID - identification number of clusters of egg masses on a given rockEM_ID - identification number ofegg masses within a cluster on a given rockIsEdge - y/n as to whether an egg mass is on the outside of a cluster or entirely surrounded by other egg massesRiffle - Location where the rock was collected fromInfect% - estimated percent of infected eggs on given day/dateHatch% - estimated percent of hatched eggs on a given dat/date from healthy eggs. infected eggs not includedD_Eggs - presence of dead eggs which are not infected 1 = yes, 0 = no. infected eggs not includednotes - notes for individual egg massesEgg_count - number of egg in each egg massNeonate_count - number of neonates counted for each rock, only labelled in one egg mass per rock as they are counted at the rock scale. changed to neonates per rock in rStudio<br><b>InfectTempScript.r -</b>r script analysing above data<br><b>First5DaysScript.r -</b>same data set as above script but filter to only the first 5 days<br><b>fungusHelpers.r -</b>functions used in previous two scripts<br><b>PopulationModelScript.r -</b>script where the population modelling occurs.<b>maxtempsurvivalmodelpreds</b> + <b>sustainestemphatchmodelpreds</b> are used in this script after being created in the InfectTempScriptLOW, SPIKE and HIGH life table .xlxs are also used in this script<br><b>TempLoggers.r -</b>Script where the temp loggers from the lab experiment are uploaded and cut to the right date/time for visualisation<br><br><br><br><br>
DOI: 10.48786/edbt.2025.43
title: Step-by-Step Data Cleaning Recommendations to Improve ML Prediction Accuracy
DOI: 10.5066/f7zc824r
title: Kootenai River Substrate Enhancement Pilot Projects near Bonners Ferry, ID (ver. 3.0, January 2023)

description: In 2009, the Kootenai Tribe of Idaho released and implemented the Kootenai River Habitat Restoration Master Plan. This plan aimed to restore, enhance, and maintain the Kootenai River habitat and landscape to support and sustain habitat conditions for aquatic species and animal populations. In support of these restoration efforts, the U.S. Geological Survey, in cooperation with the Kootenai Tribe of Idaho, conducted high-resolution multibeam echosounder bathymetric surveys, velocity surveys, and collected images of substrate in the Lower Meander Reach. This data release contains bathymetry, velocity, and substrate data from surveys performed on the Kootenai River between 2012 and 2019 as part of the Substrate Enhancement Pilot Project mapping (SEPP) under the Kootenai River Habitat Restoration Master Plan.  Summary of Substrate Enhancement Pilot Project (SEPP) data, Water Years 2012-2019  2012 - velocity only at Shorty's Island. 2013 - bathymetry and velocity at Myrtle Bend; bathymetry only at Shorty's Island. 2015 - bathymetry (x2) and substrate at Myrtle Bend; bathymetry (x2) and substrate at Shorty's Island. 2016 - bathymetry, substrate (x2), and velocity at Myrtle Bend; bathymetry, substrate (x2), and velocity at Shorty's Island. 2017 - bathymetry, substrate (x2), and velocity at Myrtle Bend; bathymetry, substrate (x2), and velocity at Shorty's Island; substrate (x2) and velocity at the Straight Reach. 2019 - substrate at Myrtle Bend; substrate at Shorty's Island; substrate and velocity at the Straight Reach.  First release: April 2018 Revised: February 2021 (ver. 2.0) Version History 2.0
DOI: 10.5066/p96a7675
title: The North American Breeding Bird Survey, Analysis Results 1966 - 2019

description: This data product consists of a database of population change and abundance estimates for North American birds, estimated from North American Breeding Bird Survey (BBS) data. Data are presented for 548 species of birds in 4 spreadsheets containing trend estimates and annual indices for 2 time periods. Estimates are derived for each species using the 1 of 4 alternative models, and a cross-validation model selection procedure was used to select the best model for each species. Metadata for the BBS data used to produce these estimates is available from a USGS ftp site (ftp://ftpext.usgs.gov/pub/er/md/laurel/BBS/DataFiles/). Metadata associated with this data product provides information specific to the analysis results.