cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30402572.v2
title: Elastic Shape Analysis of Movement Data

description: Osteoarthritis (OA) is a highly prevalent degenerative joint disease, and the knee is the most commonly affected joint. Biomechanical factors, particularly forces exerted during walking, are often measured in modern studies of knee joint injury and OA, and understanding the relationship among biomechanics, clinical profiles, and OA has high clinical relevance. Biomechanical forces are typically represented as curves over time, but a standard practice in biomechanics research is to summarize these curves by a small number of discrete values (or <i>landmarks</i>). The objective of this work is to demonstrate the added value of analyzing full movement curves over conventional discrete summaries. We developed a shape-based representation of variation in full biomechanical curve data from the Intensive Diet and Exercise for Arthritis (IDEA) study (Messier et al. 2009, 2013), and demonstrated through nested model comparisons that our approach, compared to conventional discrete summaries, yields stronger associations with OA severity and OA-related clinical traits. Notably, our work is among the first to quantitatively evaluate the added value of analyzing full movement curves over conventional discrete summaries. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.30402572.v1
title: Elastic Shape Analysis of Movement Data

description: Osteoarthritis (OA) is a highly prevalent degenerative joint disease, and the knee is the most commonly affected joint. Biomechanical factors, particularly forces exerted during walking, are often measured in modern studies of knee joint injury and OA, and understanding the relationship among biomechanics, clinical profiles, and OA has high clinical relevance. Biomechanical forces are typically represented as curves over time, but a standard practice in biomechanics research is to summarize these curves by a small number of discrete values (or <i>landmarks</i>). The objective of this work is to demonstrate the added value of analyzing full movement curves over conventional discrete summaries. We developed a shape-based representation of variation in full biomechanical curve data from the Intensive Diet and Exercise for Arthritis (IDEA) study (Messier et al., 2009, 2013), and demonstrated through nested model comparisons that our approach, compared to conventional discrete summaries, yields stronger associations with OA severity and OA-related clinical traits. Notably, our work is among the first to quantitatively evaluate the added value of analyzing full movement curves over conventional discrete summaries.
DOI: 10.6084/m9.figshare.30234628
title: Bayesian Geostatistics Using Predictive Stacking

description: We develop Bayesian predictive stacking for geostatistical models, where the primary inferential objective is to provide inference on the latent spatial random field and conduct spatial predictions at arbitrary locations. We exploit analytically tractable posterior distributions for regression coefficients of predictors and the realizations of the spatial process conditional upon process parameters. We subsequently combine such inference by stacking these models across the range of values of the hyper-parameters. We devise stacking of means and posterior densities in a manner that is computationally efficient without resorting to iterative algorithms such as Markov chain Monte Carlo (MCMC) and can exploit the benefits of parallel computations. We offer novel theoretical insights into the resulting inference within an infill asymptotic paradigm and through empirical results showing that stacked inference is comparable to full sampling-based Bayesian inference at a significantly lower computational cost. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.30234628.v1
title: Bayesian Geostatistics Using Predictive Stacking

description: We develop Bayesian predictive stacking for geostatistical models, where the primary inferential objective is to provide inference on the latent spatial random field and conduct spatial predictions at arbitrary locations. We exploit analytically tractable posterior distributions for regression coefficients of predictors and the realizations of the spatial process conditional upon process parameters. We subsequently combine such inference by stacking these models across the range of values of the hyper-parameters. We devise stacking of means and posterior densities in a manner that is computationally efficient without resorting to iterative algorithms such as Markov chain Monte Carlo (MCMC) and can exploit the benefits of parallel computations. We offer novel theoretical insights into the resulting inference within an infill asymptotic paradigm and through empirical results showing that stacked inference is comparable to full sampling-based Bayesian inference at a significantly lower computational cost. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.15468/dl.68yeu2
title: Occurrence Download

description: A dataset containing 1882 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chrysanthemum morifolium"
 ]
}

 The dataset includes 1882 records from 212 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038238-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17858474
title: The Tasharuk Framework: A Rigorous Systems Engineering Model for Community-Funded, AI-Augmented Peer Review in Open Access Publishing

description: Conventional peer review paradigms in scholarly publishing are encumbered by systemic inefficiencies, such as extended review durations, prohibitive article processing charges (APCs), and vulnerability to cognitive and institutional biases, which collectively hinder equitable dissemination of scientific knowledge [tomkins2017reviewer, stelmakh2023citation]. This theoretical manuscript delineates the Tasharuk Framework, an integrative systems engineering construct that amalgamates incentivized human-AI hybrid adjudication, preemptive community-based crowdfunding, and Bayesian frameworks for uncertainty propagation to enhance operational efficiency, methodological integrity, and procedural transparency. The framework is rigorously formalized via a tripartite protocol: (i) monetarily compensated peer adjudication informed by principal-agent utility maximization; (ii) AI-mediated integrity assessment leveraging probabilistic graphical models; and (iii) iterative open community validation phases. Financial viability is secured through a stochastic lock-and-release funding mechanism, with Monte Carlo simulations (10,000 iterations) demonstrating a 92.95% attainment probability for a $400 threshold (95% CI: [92.1%, 93.8%]). Empirical substantiation encompasses variance-based global sensitivity analyses via Sobol indices (first-order: S_{\lambda_d} \approx 0.53, S_{\mu_d} \approx 0.57, S_{\tau} \approx -0.25; total-order: ST_{\lambda_d} \approx 0.64, ST_{\mu_d} \approx 0.70, ST_{\tau} \approx 0.35; interaction: S_{\lambda_d \mu_d} \approx 0.12), Bayesian posterior estimation of acceptance rates (posterior means: 0.60, 0.80, 0.40; 95% credible intervals: [(0.19, 0.93), (0.40, 0.99), (0.07, 0.81)]), and Popperian falsifiability evaluations (null likelihood ratios: 0.375, 0.125, 0.375, with aggregated -2\ln\Lambda \approx 8.08 > \chi^2_{1,0.05} = 3.84). All derivations are underpinned by executable Python simulations, ensuring full reproducibility and empirical falsifiability. The Tasharuk Framework reconceptualizes scholarly publishing as a participatory epistemic commons, harmonizing velocity, veracity, and equity in a post-APC landscape, while proactively mitigating emergent risks of AI-induced artifacts in evaluative processes [naddaf2025ai].
DOI: 10.17026/ar/lognnp
title: PAN-00174912 - smooth ware jug type St. 110

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00174912&lt;/p&gt;
description: Modified: 2025-10-21T12:46:11+02:00
DOI: 10.15468/dl.kpfdtf
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tympanoctomys barrerae",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 51 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038240-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vxnqph
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((100.048 0.350185, 99.97773599999999 0.344618, 99.90920199999999 0.328053, 99.844086 0.300899, 99.783991 0.263825, 99.730397 0.217743, 99.684624 0.163788, 99.64779799999999 0.103288, 99.62082599999999 0.037734, 99.604372 -0.03126, 99.598842 -0.101997, 99.60437 -0.172733, 99.620822 -0.241729, 99.64779299999999 -0.307283, 99.684618 -0.367784, 99.730391 -0.42174, 99.783985 -0.467823, 99.844081 -0.504898, 99.909198 -0.532052, 99.977734 -0.548617, 100.048 -0.554185, 100.118266 -0.548617, 100.186802 -0.532052, 100.251919 -0.504898, 100.312015 -0.467823, 100.365609 -0.42174, 100.411382 -0.367784, 100.448207 -0.307283, 100.475178 -0.241729, 100.49163 -0.172733, 100.497158 -0.101997, 100.491628 -0.03126, 100.475174 0.037734, 100.448202 0.103288, 100.411376 0.163788, 100.365603 0.217743, 100.312009 0.263825, 100.251914 0.300899, 100.186798 0.328053, 100.118264 0.344618, 100.048 0.350185))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038239-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p1ehvrda
title: Island of Hawaiʻi mosquito, hydrological, and environmental data from riparian habitats, 2022-2024

description: This data release includes 12 data files documenting climatic, hydrologic, and mosquito variables collected at seven riparian study sites on three streams located on the windward flank of Mauna Kea on the Island of Hawai'i from 2022 to 2024. Daily ambient temperature, ambient relative humidity, cumulative precipitation, stream pool water temperatures, and stream height (stage) were recorded at a frequency of every 15 minutes unless otherwise noted. Sites span an altitudinal range from 1100 to 1750 meters above sea level. The data release also includes quantitative and qualitative data on mosquito larval habitat (stream pools) and the occurrence and abundance of larval mosquitoes. Individual files include mean number of available larval mosquito habitat (stream pools), percent larval mosquito occupancy, relative abundance of larval mosquitoes, and categorical data on habitat variables. The study was conducted by the U.S. Geological Survey, Pacific Island Ecosystems Research Center personnel in collaboration with biologists with the University of Hawai'i at Hilo, Hawai'i Cooperative Studies Unit.

The following files are included in this data release, with the methods for each file being described in the process step respectively (one process step per file):
1. RainAndTemp.csv
2. TempRH.csv
3. Hak_PoolTemp1_HakalauStream.csv
4. Hak_PoolTemp2_NauhiStream.csv
5. Lap_PoolTemp.csv
6. RepeatPoolsCounts.csv
7. StreamReachDipSurvey.csv
8. GPSCoordinates_Streams.csv
9. RepeatPoolsCharacteristics.csv
10. RepeatPoolsAggregateCounts.csv
11. StreamLevel.csv
12. MaxStreamHeight.csv
DOI: 10.15468/dl.faadzq
title: Occurrence Download

description: A dataset containing 4476 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myxicola infundibulum",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4476 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038241-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48650/rs65-vq40
title: SEI-PCS Indonesia wood pulp supply chain and sustainability metrics (Version 3.2)

description: This data package introduces the dataset and methods created by Trase to map the supply chain for Indonesian wood pulp, resulting on the new version of the SEI-PCS Indonesia wood pulp v3.2. The dataset integrates detailed industrial production and trade data with spatial data detailing the boundaries of industrial pulpwood concessions to link pulp exports and domestic processing back to specific areas of pulpwood production and their impacts associated.
DOI: 10.5281/zenodo.16994852
title: A complex structure of escaping helium spanning more than half the orbit of the ultra-hot Jupiter WASP-121b

description: This dataset contains the full-orbit helium phase-curve observations of the ultra-hot Jupiter WASP-121 b obtained with the James Webb Space Telescope (JWST) Near Infrared Imager and Slitless Spectrograph (NIRISS). The Python scripts used to produce the figures shown in the paper are provided with a README file, the extracted data from NAMELESS and exoTEDRF, the best-fit EVE toy-model. The data include flux measurements, wavelength calibrations, and associated uncertainties, capturing helium absorption over nearly 60% of the planetary orbit. These observations reveal a strong atmospheric outflow forming two distinct tails with different kinematics and provide critical constraints on hydrodynamic escape in highly irradiated exoplanets. The dataset supports analyses of mass-loss rates, atmospheric dynamics, and comparisons with theoretical models. It is intended for use in exoplanet atmosphere studies, model validation, and educational purposes.
DOI: 10.5281/zenodo.16994851
title: A complex structure of escaping helium spanning more than half the orbit of the ultra-hot Jupiter WASP-121b

description: This dataset contains the full-orbit helium phase-curve observations of the ultra-hot Jupiter WASP-121 b obtained with the James Webb Space Telescope (JWST) Near Infrared Imager and Slitless Spectrograph (NIRISS). The Python scripts used to produce the figures shown in the paper are provided with a README file, the extracted data from NAMELESS and exoTEDRF, the best-fit EVE toy-model. The data include flux measurements, wavelength calibrations, and associated uncertainties, capturing helium absorption over nearly 60% of the planetary orbit. These observations reveal a strong atmospheric outflow forming two distinct tails with different kinematics and provide critical constraints on hydrodynamic escape in highly irradiated exoplanets. The dataset supports analyses of mass-loss rates, atmospheric dynamics, and comparisons with theoretical models. It is intended for use in exoplanet atmosphere studies, model validation, and educational purposes.
DOI: 10.15468/dl.42wp7t
title: Occurrence Download

description: A dataset containing 39408 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Guyana",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 39408 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038242-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17858505
title: Regional Differences in Infilling and Land-use Conversion Characterize Woody Cover Increases Across the Eastern United States

description: This repository serves as additional supporting information for the manuscript "Regional Differences in Infilling and Land-use Conversion Characterize Woody Cover Increases Across the Eastern United States."
DOI: 10.5281/zenodo.17858506
title: Regional Differences in Infilling and Land-use Conversion Characterize Woody Cover Increases Across the Eastern United States

description: This repository serves as additional supporting information for the manuscript "Regional Differences in Infilling and Land-use Conversion Characterize Woody Cover Increases Across the Eastern United States."
DOI: 10.7910/dvn/qjhoiz
title: Replication Data for: Open Peer Review, Communication Dynamics and Evaluation Bias

description: This data is used in the paper "Open Peer Review, Communication Dynamics and Evaluation Bias"
DOI: 10.15468/dl.74sqme
title: Occurrence Download

description: A dataset containing 30743 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is Vespa velutina",
 "Year is one of (2024, 2025)",
 "HasCoordinate is true",
 "Geometry POLYGON((3.5 43.5, 12.5 43.5, 12.5 50.5, 3.5 50.5, 3.5 43.5))"
 ]
}

 The dataset includes 30743 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038243-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c5cf33
title: Occurrence Download

description: A dataset containing 1125473 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-120.57456 50.38116,-118.68394 50.30908,-119.06218 51.4246,-120.52571 51.62299,-120.57456 50.38116))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2000-2025"
 ]
}

 The dataset includes 1125473 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038211-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/svgyjh
title: PAN-00117530 - coin/coin-related, Jan III (1312-1355), kwart groot

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00117530&lt;/p&gt;
description: Modified: 2025-10-20T16:33:10+02:00
DOI: 10.15468/dl.q7qgv4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((101.298 0.352185, 101.227736 0.346618, 101.159202 0.330053, 101.094086 0.302899, 101.033991 0.265825, 100.980397 0.219743, 100.934624 0.165788, 100.897798 0.105288, 100.870826 0.039734, 100.854372 -0.02926, 100.848842 -0.099997, 100.85437 -0.170734, 100.870822 -0.239729, 100.897793 -0.305283, 100.934618 -0.365784, 100.980391 -0.41974, 101.033985 -0.465823, 101.094081 -0.502898, 101.159198 -0.530052, 101.227734 -0.546617, 101.298 -0.552185, 101.368266 -0.546617, 101.436802 -0.530052, 101.501919 -0.502898, 101.562015 -0.465823, 101.615609 -0.41974, 101.661382 -0.365784, 101.698207 -0.305283, 101.725178 -0.239729, 101.74163 -0.170734, 101.747158 -0.099997, 101.741628 -0.02926, 101.725174 0.039734, 101.698202 0.105288, 101.661376 0.165788, 101.615603 0.219743, 101.562009 0.265825, 101.501914 0.302899, 101.436798 0.330053, 101.368264 0.346618, 101.298 0.352185))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038246-251120083545085/datasets/export for details.
DOI: 10.15468/dl.vcdfpa
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tympanoctomys loschalchalerosorum",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038245-251120083545085/datasets/export for details.
DOI: 10.15468/dl.4dt7fz
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Notaulax phaeotaenia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 119 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038247-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bu9rhs
title: Occurrence Download

description: A dataset containing 3195 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Monitoreo de frailejones en el Parque Nacional Natural El Cocuy de 2007 a 2017"
 ]
}

 The dataset includes 3195 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038248-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13012/b2idb-7586194_v1
title: Data for Bioprocessing, Recovery, and Mass Balance of Vegetative Lipids from Metabolically Engineered ‘Oilcane’ Demonstrates Its Potential as an Alternative Feedstock for Drop-In Fuel Production

description: Plant oils are increasingly in demand as renewable feedstocks for biodiesel and biochemicals. Currently, oilseeds are the primary source of plant oils. Although the vegetative tissues of plants express lipid metabolism pathways, they do not hyper-accumulate lipids. Elevated synthesis, storage, and accumulation of lipids in vegetative tissues have been achieved by metabolic engineering of sugarcane to produce “oilcane.” This study evaluates the potential of oilcane as a renewable feedstock for the co-production of lipids and fermentable sugars. Oilcane was grown under favorable climatic and field conditions in Florida (FLOC) as well as during an abbreviated growing season, outside its typical growing region, in Illinois (ILOC). The potential lipid yield of 0.35 tons/ha was projected from the hyperaccumulation of fatty acids in the stored vegetative biomass of FLOC, which is approaching the lipid yield of soybean (0.44 tons/ha). Processing of the vegetative tissues of oilcane recovered 0.20 tons/ha, which represents the recovery of 55% of the total lipids from FLOC. Chemical-free hydrothermal bioprocessing of ILOC and FLOC bagasse and leaves at 180 °C for 10 min prevented the degeneration of in situ plant lipids. This allowed the recovery of lipids at the end of the bioprocess with a major fraction of lipids remaining in the biomass residues after pretreatment and saccharification. Improvements through refined biomass processing, crop management, and metabolic engineering are expected to boost lipid yields and make oilcane a prime feedstock for the production of biodiesel.