cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1285/i20356609v8i2p328
title: Grassroots (Economic) Activism in Times of Crisis: Mapping the Redundancy of Collective Actions

description: In the current economic crisis of industrialized society, social movements face two types of challenges: firstly, they are confronting institutions that are less capable of and have no propensity for mediating new socio-economic demands; secondly, they are experiencing difficulties in building strong and lasting bonds of solidarity and cooperation among people. The latter are fundamental resources for the emergence of collective action; however, the highly individualized structure of contemporary society makes the creation of social ties ever the more difficult. As a consequence, contemporary waves of protest are often short-lived. Nonetheless, in response to the multidimensional crises, the consolidation of grassroots mutualistic and cooperative experiences, within which new affiliations for collective action are experienced, is on the rise. Indeed, it is a fact that even though conditions are not favorable, social movements have continued to ex-pand and promote community-led initiatives for social and economic sustainability. In some cases, these initiatives play a decisive role in the fight against poverty and in guaranteeing human livelihood. Solidarity-based exchanges and networks, such as barter groups, urban gardening, new consumer-producer networks and cooperatives, time banks, local savings groups, urban squatting, and others similar experiences are typical examples of continuous reactivation of people's desire to be agents of their own destiny. This combination of formal and informal networks are a testimony to an ability and an aspiration. Indeed, on one hand, they are indicative of citizens' capacity to self-organize in order to tolerate, absorb, cope with and adjust to the environmental and social threats posed by neoliberal policies. On the other hand, they are attempting to change an economic system, increasingly perceived as unfair and ecological disruptive, by building an alternative in the cracks of the former, based on greater mutual solidarity between individuals and more sustainable connections with the environment. This special issue is a reflection, among the many that have being proposed of late, on some of these self-organized collective actions that have pass through and/or emerged from the aftermath of the crisis. It is the result of an attempt to cross various disciplinary fields, in order to explore the redundancy of their respective explanations as to why and how some grassroots activities last and succeed, and turn this redundancy into the powerhouse for relaunching more robust and less aleatory initiatives.
DOI: 10.1285/i20705948v14n1p117
title: Element weighted Kemeny distance for ranking data

description: Preference data are a particular type of ranking data that arise when n individuals express their preferences over a finite set of items. Within this framework, the main issue concerns the aggregation of the preferences to identify a compromise or a "consensus", defined as the closest ranking (i.e. with the minimum distance or maximum correlation) to the whole set of preferences. Many approaches have been proposed, but they are not sensitive to the importance of items: i.e. changing the rank of a highly-relevant element should result in a higher penalty than changing the rank of a negligible one. The goal of this paper is to investigate the consensus between rankings taking into account the importance of items (element weights). For this purpose, we present: i) an element weighted rank correlation coefficient tau_ew as an extension of the Emond and Mason's tau, and ii) an element weighted rank distance d_ew as an extension of the Kemeny distance d. The one-to-one correspondence between the weighted distance and the rank correlation coefficient is analytically proved. Moreover, a procedure to obtain the consensus ranking among n individuals is described and its performance is studied both by simulation and by the application to real datasets.
DOI: 10.1285/i22390359v21p189
title: The YouTube makeup tutorial Video. A preliminary linguistic analysis of the language of "makeup gurus"

description: Due to its video sharing policy which freely allows users to communicate all over the world, YouTube has become one of the preferred Web platforms used by the digital community of makeup lovers. As a matter of fact, YouTube seems particularly suited to host announcements of new makeup collections, products' reviews as well as video tutorials. Both cosmetic brands and single users have opened channels on the platform, but makeup discourse on YouTube is arguably dominated by the latter. Differentiating between unaffiliated amateurs and YouTubers who more or less openly work for makeup companies as digital influencers is difficult. Recent studies on communicative practices on YouTube, however, stress that in order to understand the complex nature of the famous video sharing website, the professional/non-professional dichotomy is not particularly relevant, whereas other dynamics are more research worthy. One of them is the "guru" phenomenon. "Gurus" are content creators who are particularly authoritative in a specific field, have a considerable follower base thanks to their expertise and are often paid by brands in order to promote their products. The makeup domain too has witnessed the emergence of a group of popular and influential users who are typically referred to as "makeup gurus". Their ability to stand out from the multiplicity of similar channels arguably depends not only on their knowledge of the field, but also on their communication skills and specifically on their successful use of the makeup video genre. Against this backdrop, this study sets out to codify the relatively new genre of the makeup tutorial providing it with adequate categories which at the moment appear to be lacking. Adopting the analytical framework provided by discourse analysis, it examines the generic, rhetorical and linguistic practices of makeup gurus and sheds light on the ways gurus discursively construct their identity as well as represent the idea of beauty and makeup.
DOI: 10.15156/bio/2938080
title: UNITE QIIME release for Fungi 2

description: Three sets of QIIME files are released, corresponding to the SHs resulting from clustering at the 3% distance (97% similarity) and 1% distance (99%) threshold levels. The third set of files is the result of a dynamic use of clustering thresholds, such that some SHs are delimited at the 3% distance level, some at the 2.5% distance level, some at the 2% distance level, and so on; these choices were made manually by experts of those particular lineages of fungi. The syntax is the same throughout the three sets of files. Includes global and 3% distance singletons.
DOI: 10.15468/ao14pp
title: GRIN Taxonomy

description: GRIN taxonomic data provide the structure and nomenclature for accessions of the National Plant Germplasm System (NPGS), part of the National Genetic Resources Program (NGRP) of the United States Department of Agriculture's (USDA's) Agricultural Research Service (ARS). In GRIN Taxonomy for Plants all families and genera of vascular plants and over 46,000 species from throughout the world are represented, especially economic plants and their relatives. Information on scientific and common names, classification, distribution, references, and economic impacts are provided.
DOI: 10.15468/dl.w65vp4
title: Occurrence Download

description: A dataset containing 207 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Chalcophora detrita (Klug, 1829)"
 ]
}

 The dataset includes 207 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065353-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.923093
title: Pollen composition of sediment cores from ODP site 161-976
DOI: 10.17632/fkp3nn4tp7.1
title: bearing and gearbox data for fault diagnostics application

description: An integrated experiment is designed for assessing the effectiveness of applying three different levels of transfer learning into fault diagnostics, and the source codes and original dataset are uploaded here for open-public accessing. Thus the obtained results can be set as the benchmark for assessing the following new transfer learning variant algorithms in fault diagnostics field.
DOI: 10.18167/dvn1/ena9lo
title: Replication Data for: Experimental evaluation of zinc and copper terrestrial ecotoxicity prediction by life cycle assessment in agricultural recycling of livestock effluent

description: The agronomic benefits of organic waste application on farmland can be overshadowed by the potential health and environmental impacts associated with trace element emissions, especially copper (Cu) and zinc (Zn). This has prompted a need for life cycle assessment (LCA) models to predict their terrestrial comparative toxicity potential (CTP) and impact score. We compared the LCA (reference method) prediction ability with that obtained with an experimental dataset obtained from a month-long incubation experiment (experimental method) on a soil amended or not with 31 livestock effluents mimicking agronomically-relevant scenarios. The impact scores for Cu and Zn differed between the reference and experimental methods due to CTP discrepancies between the two methods. The application of 31 livestock effluents on the soil resulted in variability in the experimentally determined CTP for Zn and Cu (0.6 and 1.9 log10 units) comparable to the CTP variability estimated by the reference method for several hundred worldwide soils. These results could be explained by the inadequate prediction of the dissolved organic carbon concentration and Cu and Zn concentration and speciation in soil solution. We propose refinements to the multilinear regressions used for CTP computation that take the soil property patterns following livestock effluent application on soils into account.
DOI: 10.21227/trjs-r454
title: Dataset Paper "A Stochastic Distribution System Market Clearing and Settlement Model with Distributed Renewable Energy Utilization Constraints"

description: Dataset of the paper entitled: "A stochastic distribution system market clearing and settling model with distributed renewable energy constraints"
DOI: 10.26066/rds.2732
title: Major River Basins in the Hindu Kush Himalaya (HKH) Region

description: The dataset provides first level basin boundary of ten major river basins in the Hindu Kush Himalaya (HKH) region - the Amu Darya, Indus, Ganges, Brahmaputra (Yarlungtsanpo), Irrawaddy, Salween (Nu), Mekong (Lancang), Yangtse (Jinsha), Yellow River (Huanghe), and Tarim (Dayan). In addition, it also includes boundaries of two interior basins. The dataset has been developed from NASA's 90m resolution Shuttle Radar Topography Mission (SRTM) digital elevation model.
DOI: 10.48786/edbt.2024.56
title: Evaluating the Impact of Error-Bounded Lossy Compression on Time Series Forecasting
DOI: 10.5066/p9e2a37p
title: Summary Metadata - Landslide Inventories across the United States

description: Landslides are damaging and deadly, and they occur in every U.S. state. However, our current ability to understand landslide hazards at the national scale is limited, in part because spatial data on landslide occurrence across the U.S. varies greatly in quality, accessibility, and extent. Landslide inventories are typically collected and maintained by different agencies and institutions, usually within specific jurisdictional boundaries, and often with varied objectives and information attributes or even in disparate formats. The purpose of this data release is to provide an openly accessible, centralized map of existing information on landslide occurrence across the entire U.S. The data release includes digital inventories created by both USGS and non-USGS authors. It provides an integrated database of all the landslides with a selection of uniform attributes, but also includes links to the original digital inventory files (whenever available). Given the wide range of landslide information sources in this data compilation, we also provide an attribute to assess the relative confidence in the characterization of the location and extent of each landslide. Further details about each landslide and more recent information (when it exists) can be accessed by clicking the more information attribute link to the original source information. This database will be updated intermittently and was most recently updated in March 2019. Please contact gs-haz_landslides_inventory@usgs.gov for more information on how to contribute additional inventories to this community effort.
DOI: 10.5067/3kb2jplfpk3r
title: Near-Real-Time SSM/I-SSMIS EASE-Grid Daily Global Ice Concentration and Snow Extent, Version 5
DOI: 10.5281/zenodo.10563392
title: Datasets and R code for Lemasson et al. A global meta-analysis of ecological effects from offshore artificial structures

description: Marine artificial structures (MAS), including oil and gas installations (O&G) and offshore wind farms (OWFs), have a finite operational period and require decommissioning when reaching end-of-life. Selecting the most suitable decommissioning options remains a challenge, in part because their effects are still largely undetermined. Whether decommissioned structures could act (sensu “function”) as artificial reefs (ARs) and provide desired ecological and societal benefits is of particular interest. Here, we use a meta-analysis approach of 531 effect sizes from 109 articles to assess the ecological effects of MAS, comparing O&G and OWFs to shipwrecks and ARs, with a view to inform their decommissioning. This synthesis demonstrates that whilst MAS can bring ecological benefits, important idiosyncrasies exist. In particular, we find limited conclusive evidence that O&G and OWFs would provide significant ecological benefits if decommissioned as ARs. We conclude that decommissioning options aimed at repurposing MAS into ARs may not provide the intended benefits.

Hre, we provide the supplementary datasets and R code used to undertake this meta-analysis.
DOI: 10.5281/zenodo.10807824
title: NGFS Climate Scenarios Data Set

description: Download information

Please do not request a data download here.

Rather, the data is available for download at the NGFS Scenario Explorer under this download link: https://data.ece.iiasa.ac.at/ngfs-phase-4/#/downloads. In order to download click on Guest login. You will be forwarded to the downloads page. At the bottom of the downloads page you can download the data.

The license permits use of the scenario ensemble for scientific research and commercial use, but restricts redistribution of substantial parts of the data. Please refer to the FAQ and legal code for more information.

Release notes V4.2



Structural:



Removed the empty year columns for downscaled data. Affected columns: 1990, 1995, 1996, 1997, ... 2018, 2019, 2110



Data updates:



REMIND-MAgPIE:



Emissions|CO2|Energy was corrected. Now, Emissions|CO2|Energy and Industrial Processes sums up correctly to Energy + Industrial Processes.



GCAM:





Corrected unit conversion error for person-km and ton-km energy service data for Energy Service|Transportation|* variables in GCAM. Values were reduced by a factor of 1000.




Removed erroneous vehicle-km activity variables Energy Service|Transportation|Rail and Energy Service|Transportation|Aviation.




Downscaling:



Results are now provided for the EU27 region.

Removed countries for which no IEA statistics exist and report them as one aggregated region: Downscaling|Countries without IEA statistics.

Enhanced historical harmonization of Emissions|CO2|Industrial Processes using IPCC categories 2A, B, C, E.

Revised calculation of land use emissions






About NGFS

The Network for Greening the Financial System (NGFS) is a group of 127 central banks and supervisors and 20 observers committed to sharing best practices, contributing to the development of climate– and environment–related risk management in the financial sector and mobilising mainstream finance to support the transition toward a sustainable economy.

This Scenario Explorer is a web-based user interface for NGFS Scenarios. This provides intuitive visualizations & display of time series data and download of the data in multiple formats.

NGFS scenarios were produced by NGFS Workstream on Scenarios Design and Analysis in partnership with an academic consortium from the Potsdam Institute for Climate Impact Research (PIK), International Institute for Applied Systems Analysis (IIASA), University of Maryland (UMD), Climate Analytics (CA), and the National Institute of Economic and Social Research (NIESR). This work was made possible by grants from Bloomberg Philanthropies and ClimateWorks Foundation.

The bespoke scenarios developed in Phase 4 of this project are generated by state-of-the-art well-established integrated assessment models (IAMs), namely GCAM, MESSAGE-GLOBIOM and REMIND-MAgPIE, as well as the NiGEM macroeconomic model.
description: This work was made possible by grants from Bloomberg Philanthropies and ClimateWorks Foundation.
DOI: 10.5281/zenodo.11093976
title: ImmuneLENS output for 1000 genomes cohort

description: Output from ImmuneLENS (https://github.com/McGranahanLab/ImmuneLENS) applied to the 1000 genomes high and low depth WGS dataset (https://www.internationalgenome.org/)
DOI: 10.5281/zenodo.14004957
title: Dataset for "Remote epitaxial crystalline perovskites for ultrahigh resolution micro-LED displays"
DOI: 10.5281/zenodo.14026222
title: Supplementary dataset to: Two Decades of Dust Radiative Forcing on Snow Cover Across the Great Salt Lake Basin (Lang et al. JGR-ES)

description: ForwardTrajASP.zip

This compressed file contains the output of forward trajectory model runs using the HYSPLIT-STILT modeling framework as described in the main manuscript. Each .csv file in the manuscript represents an ensemble of forward trajectory simulations released at a specific time, latitude, and longitude as labeled in the file name. The columns with the output .csv files represent the following variables: long is the longitude, lati is the latitude, zagl is the trajectory above ground level, and mlht is the boundary height for that trajectory's respective horizontal location.

041823DepByElement.zip

The contents of this compressed file contain .tif images of CMAQ outputs for the model run on the April 18th, 2023, dust event. Deposition per area is given for hydrologic units over the state of Utah. The element and deposition type are given in the file names as well as within the files themselves.

AprMay2023TotalDep.zip 

The contents of the compressed file contain three .tif images of CMAQ deposition outputs for combined wet and dry deposition of three major elements (Al, Si, Na) for all dust events in April and May of 2023 within the state of Utah. The outlines of the Bear, Weber, and Jordan basins are shown in black.
DOI: 10.5281/zenodo.14311720
title: Shining Light on Dark Matter:  Advancing Functional Analysis of Obsidian Tools with Confocal Scanning Microscopy

description: This repository provides the raw data necessary to reproduce the analyses presented in the paper "Shining Light on Dark Matter: Advancing Functional Analysis of Obsidian Tools with Confocal Scanning Microscopy" by Pichon et al.

Contents of the Repository:

1. PLU Files:







Data collected using a Sensofar Plu Neox white-light scanning confocal microscope on experimental obsidian tools employed in various cutting activities, including:







Butchery

De-skinning fresh hides from grease and meaty tissues

Cutting tanned leather

Harvesting domestic ripe cereals

Harvesting semi-green wild cereals

Sawing wet limestone





Data collected on tools used for scraping activities, such as:







Dry hide

Dry antler

Soaked antler

Fresh bone

Softwood

Fresh reeds

Wet limestone





Data collected on non-used areas on obsidian raw material included in the experimental program.




2. CSV Files:











Cutting and Scraping Tools: Raw 3D surface measurement data from the experimental obsidian tools.

Non-used obsidian: Raw 3D surface measurement data from non-used obsidian samples.
DOI: 10.5281/zenodo.14807414
title: A gridded dataset of young leaf photosynthetic capacity product over tropical and subtropical evergreen broadleaved forests
DOI: 10.5281/zenodo.14825781
title: Declining Groundwater Storage in the Indus basin Revealed Using GRACE and GRACE-FO Data

description: We analyze water storage changes in the Indus Basin using GRACE/GRACE-FO data and machine learning techniques. Our work focuses on quantifying terrestrial water storage trends, groundwater depletion, and hydroclimatic interactions under climate change.
DOI: 10.5281/zenodo.14873207
title: Discrete Fracture Network Benchmark DFNs and Breakthrough Curves with Moment Calculations for DECOVALEX-2023 Task F

description: These data support the manuscript "Discrete Fracture Network Model Benchmarks Developed and Applied in a DECOVALEX-2023 Repository Performance Assessment Study" accepted for publication in the journal Geomechanics for Energy and the Environment (2025; 41(1)). They include 1) dfnWorks files defining the benchmark DFNs and 2) the breakthrough curves and calculated first and second moments for multiple models applied to the benchmark problems. Contributors are the coauthors of the journal publication.

This data set supercedes version 1.0 (doi:10.5281/zenodo.14708273) due to the addition of files that define the benchmark DFNs.
DOI: 10.5281/zenodo.4567494
title: Lower Bounds on the Integrality Ratio of the Subtour LP for Euclidean TSP

description: This dataset contains Euclidean TSP instances with high integrality ratio in the TSPLIB format from arxiv:2102.04765.
DOI: 10.5281/zenodo.5005868
title: A global inventory of solar photovoltaic generating units - dataset

description: This is the data repository accompanying Kruitwagen, L., Story, K., Friedrich, J., Byers, L., Skillman, S., & Hepburn, C. (2021) A global inventory of photovoltaic solar generating units, <strong>Nature, </strong><em>forthcoming</em>. This repository contains the training, cross-validation, test, and predicted data set as described in the publication. The contents of this repository are briefly summarised here, see the publication for further details. <strong>Repository contents:</strong> <em>trn_tiles.geojson: </em>18,570 rectangular areas-of-interest used for sampling training patch data. <em>trn_polygons.geojson: </em>36,882 polygons obtained from OSM in 2017 used to label training patches. <em>cv_tiles.geojson: </em>560 rectangular areas-of-interest used for sampling cross-validation data seeded from WRI GPPDB <em>cv_polygons.geojson: </em>6,281 polygons corresponding to all PV solar generating units present in cv_tiles.geojson at the end of 2018. <em>test_tiles.geojson: </em>122 rectangular regions-of-interest used for building the test set. <em>test_polygons.geojson: </em>7,263 polygons corresponding to all utility-scale (&gt;10kW) solar generating units present in test_tiles.geojson at the end of 2018. <em>predicted_polygons.geojson: </em>68,661 polygons corresponding to predicted polygons in global deployment, capturing the status of deployed photovoltaic solar energy generating capacity at the end of 2018.
DOI: 10.5281/zenodo.7785803
title: Coverage files of TRACERx100 samples for input for ImmuneLENS

description: Coverage files for the TCRA, TCRB, TCRG and IGH locus generated from WGS bam files aligned to hg38 using samtools depth
DOI: 10.5291/ill-data.9-11-2126
title: QENS study on the water and polymer side chain dynamics in PEDOT:PSS/cellulose nanofibril films