cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/4622024b3edf251004746f83af825432
title: Hubbard Brook Experimental Forest: Relations of the O-horizon with canopy tree species and hydropedologic soil types, 2021

description: As the interface between plants and soil, the organic horizon is the foundation of forest ecosystems. Two potential predictors of O-layer properties, vegetation and mineral soil type, are difficult to separate because they typically covary. We conducted a factorial study involving four canopy tree species and two soil types with distinctly different hydrology and topographic position to parse patterns in chemistry and microbiota of the O-layer in a north-temperate deciduous forest. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
DOI: 10.6084/m9.figshare.28248773
title: Data for stage 2 registered report

description: Data for stage 2 registered report in F1000 (Bombail et al, 2025)
DOI: 10.6084/m9.figshare.28248773.v1
title: Data for stage 2 registered report

description: Data for stage 2 registered report in F1000 (Bombail et al, 2025)
DOI: 10.21227/cg73-bw89
title: Hybrid Action Based Reinforcement Learning for Multi-Objective Compatible Autonomous Driving

description: Reinforcement Learning (RL) has shown excellent performance in solving decision-making and control problems of autonomous driving, which is increasingly applied in diverse driving scenarios. However, driving is a multi-attribute problem, leading to challenges in achieving multi-objective compatibility for current RL methods, especially in both policy execution and policy iteration. We propose a Multi-objective Ensemble-Critic reinforcement learning method with Hybrid Parametrized Action for multi-objective compatible autonomous driving. The experimental results in both the simulated traffic environment and the HighD dataset demonstrate that our method can achieve multi-objective compatible autonomous driving in terms of driving efficiency, action consistency, and safety. It enhances the general performance of the driving while significantly increasing training efficiency. The detailed training and testing data are presented in this dataset.
DOI: 10.5066/f7df6pf6
title: Bering Land Bridge Lake Classification, Seward Peninsula, Alaska, 2012-2016

description: This study focuses on a 67 attribute lake cover classification scheme covering the Bering Land Bridge area of the Seward Peninsula, Alaska. The GIS dataset consists of 5170 lakes (which were extracted from a 5m resolution ifSAR/orthophoto image) and provides information on lake morphometry, hydrologic connectivity, surface area dynamics, surrounding terrestrial ecotypes, bedfast percentage, and other important conditions. The Seward Peninsula lake habitat study classification system provides lake specific information for a coastal peninsula area that will guide research and aid in the management of the natural environment.
DOI: 10.15468/dl.npya8t
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.33343 37.27208,58.33343 37.27208,58.33343 62.72792,-5.33343 62.72792,-5.33343 37.27208))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Glenodinium pilula (Ostenfeld) Schiller, 1935"
 ]
}

 The dataset includes 44 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000345-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/7840dd400aa452aadfa4356fe5c879ad
title: DPP01 Drought experiment nested within the phosphorus plots experiment at Konza Prairie

description: We explore how nutrient-altered tallgrass prairie responds to drought. Seven years of nutrient treatments (control, nitrogen (N), phosphorus (P), and N+P) resulted in significantly different plant communities. Within this experimental context we imposed a three-year drought followed by three years of recovery from drought. We hypothesized (1) the plant functional types would have different responses to drought; (2) the different community types would vary in their resistance to drought; and (3) the control and P treated plots, where N is limited, will have a greater increase in standing biomass production in the previously droughted plots compared to the non-droughted plots.
DOI: 10.6073/pasta/66a6158ecc9f9ab628df8c606b313f6c
title: Hubbard Brook Experimental Forest: Diversity of Forest Floor Vegetation under Ash, Beech, Sugar Maple, and Yellow Birch, 2021

description: As the interface between plants and soil, the organic horizon is the foundation of forest ecosystems. Two potential predictors of O-layer properties, vegetation and mineral soil type, are difficult to separate because they typically covary. We conducted a factorial study involving four canopy tree species and two soil types with distinctly different hydrology and topographic position to parse patterns in chemistry and microbiota of the O-layer in a north-temperate deciduous forest. There were frequent strong effects of tree species. White ash frequently differed from the other trees: e.g., lower cation exchange capacity and exchangeable acidity, thinner Oi layer, lower %C and C:N, and, from phospholipid fatty acids, more AM fungi and less gram+ bacteria. These patterns, presumably due to species-specific attributes of leaf litter quality, root exudates, and microbial associations, must arise over decades, given that the stands in the study age between 85 and 100 years. We also found patterns in the O-layer related to underlying soil type, independent of tree species: e.g., Bh podzols, compared to Typical podzols, had higher trace metals, thicker Oa layer, and more AM fungi. Relations between mineral soil type and the organic layer, which were larger than expected, could arise because landscape features that influence hydrology and therefore soil formation over millennia also influence biogeochemistry of the organic layer over decades. It could also involve bioturbation by organisms across horizons. There is basic and applied value in models that can predict properties of the O-layer based on vegetation and soil types.
DOI: 10.6084/m9.figshare.28248788
title: Data for manuscript 'Association of the TTN, PDK4, and RNF207 mutations with dilated cardiomyopathy in Dobermanns from the United Kingdom'

description: Data availability for PLOS ONE article: Association of the TTN, PDK4, and RNF207 mutations with dilated cardiomyopathy in Dobermanns from the United Kingdom.
DOI: 10.5281/zenodo.14713510
title: Classification for Scopus 2024 based on references reclassified by the origin of the papers citing them (2012-2022)

description: CSV file consisting of six columns:Itemid: Identification of the record in Scopus.Year: Year of publication (2012-2022).ASJC: Four-digit code of the ASJC (All Science Journal Classifications) category of Scopus.Weight: Weight associated with the assignment.NI: Normalized Impact.SJR: SCImago Journal Rank.
DOI: 10.5281/zenodo.14713511
title: Classification for Scopus 2024 based on references reclassified by the origin of the papers citing them (2012-2022)

description: CSV file consisting of six columns:Itemid: Identification of the record in Scopus.Year: Year of publication (2012-2022).ASJC: Four-digit code of the ASJC (All Science Journal Classifications) category of Scopus.Weight: Weight associated with the assignment.NI: Normalized Impact.SJR: SCImago Journal Rank.
DOI: 10.5281/zenodo.12192845
title: Data and scripts for "The role of stochasticity in fungal community assembly – explaining apparent stochasticity with field experiments"

description: The results presented in the manuscript “The role of stochasticity in fungal community assembly – explaining apparent stochasticity by field experiments” can be reproduced by the data and scripts provided in this repository.

Concerning the analysis of observational data:

·        The file ObservationalData.RData includes all data: XData is the dataframe including the predictors, and t is the vector of responses (F. rosea occurrences).

·        The script O1_model_observational_data.R defines the models, fits the models, and computes model fits based on cross-validation. The results are saved into a file.

·        The script O2_show_results_observational_data.R loads the results saved by the previous script, and outputs the results reported in the manuscript.

Concerning the analysis of experimental data:

·        The file ExperimentalData.RData includes all data: the dataframe meta includes the relevant predictors, otu.table the matrix of samples x OTU read counts, and the dataframe taxonomy the taxonomic placement of those OTUs.

·        The script E1_compute_model_based_ordinations.R precomputes the gllvm-ordinations needed both for the colonization success model as well as the community divergence model. The precomputed ordinations are saved into a file.

·        The script E2_model_colonization_success.R defines the colonization success model, fits the model, and computes model fit based on cross-validation. The results are saved into a file.

·        The script E3_show_colonization_model_results.R loads the results saved by the previous script, and outputs the results reported in the manuscript.

·        The script E4_model_community_divergence defines the community divergence model and fits the model. The results are saved into a file.

·        The script E5_show_community_divergence_model_results.R loads the results saved by the previous scripts, and outputs the results reported in the manuscript, including Table 1 and Figure 2.
DOI: 10.5281/zenodo.14713222
title: Co-invasional disruptions of island pollination networks dominated by predator effects

description: Dataset and Script Code for "Co-invasional disruptions of island pollination networks dominated by predator effects" (Submited to Current Biology)
DOI: 10.5281/zenodo.14713223
title: Co-invasional disruptions of island pollination networks dominated by predator effects

description: Dataset and Script Code for "Co-invasional disruptions of island pollination networks dominated by predator effects" (Submited to Current Biology)
DOI: 10.60503/d3/k1sdjd
title: LORELEI Hungarian Representative Language Pack

description: LORELEI Hungarian Representative Language Pack consists of Hungarian monolingual text, Hungarian-English parallel text, annotations, supplemental resources and related software tools developed by the Linguistic Data Consortium for the DARPA LORELEI program. The LORELEI (Low Resource Languages for Emergent Incidents) program was concerned with building human language technology for low resource languages in the context of emergent situations like natural disasters or disease outbreaks. Linguistic resources for LORELEI include Representative Language Packs and Incident Language Packs for over two dozen low resource languages, comprising data, annotations, basic natural language processing tools, lexicons and grammatical resources. Representative languages were selected to provide broad typological coverage, while incident languages were selected to evaluate system performance on a language whose identity was disclosed at the start of the evaluation.
DOI: 10.21227/gr5v-xg04
title: Hybrid Action Based Reinforcement Learning for Multi-Objective Compatible Autonomous Driving

description: Reinforcement Learning (RL) has shown excellent performance in solving decision-making and control problems of autonomous driving, which is increasingly applied in diverse driving scenarios. However, driving is a multi-attribute problem, leading to challenges in achieving multi-objective compatibility for current RL methods, especially in both policy execution and policy iteration. We propose a Multi-objective Ensemble-Critic reinforcement learning method with Hybrid Parametrized Action for multi-objective compatible autonomous driving. The experimental results in both the simulated traffic environment and the HighD dataset demonstrate that our method can achieve multi-objective compatible autonomous driving in terms of driving efficiency, action consistency, and safety. It enhances the general performance of the driving while significantly increasing training efficiency. The detailed training and testing data are presented in this dataset.
DOI: 10.6084/m9.figshare.28248851
title: Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects

description: Federated learning of causal estimands may greatly improve estimation efficiency by leveraging data from multiple study sites, but robustness to heterogeneity and model misspecifications is vital for ensuring validity. We develop a Federated Adaptive Causal Estimation (FACE) framework to incorporate heterogeneous data from multiple sites to provide treatment effect estimation and inference for a flexibly specified target population of interest. FACE accounts for site-level heterogeneity in the distribution of covariates through density ratio weighting. To safely incorporate source sites and avoid negative transfer, we introduce an adaptive weighting procedure via a penalized regression, which achieves both consistency and optimal efficiency. Our strategy is communication-efficient and privacy-preserving, allowing participating sites to share summary statistics only once with other sites. We conduct both theoretical and numerical evaluations of FACE and apply it to conduct a comparative effectiveness study of BNT162b2 (Pfizer) and mRNA-1273 (Moderna) vaccines on COVID-19 outcomes in U.S. veterans using electronic health records from five VA regional sites. We show that compared to traditional methods, FACE meaningfully increases the precision of treatment effect estimates, with reductions in standard errors ranging from 26% to 67%.
DOI: 10.25810/c862-0e81.81
title: US Television Coverage of Climate Change or Global Warming, 2000-2024 - December 2024

description: The Media and Climate Change Observatory Data monitors 130 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.15468/dl.mcv7d6
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tetranychus urticae Koch, 1836"
 ]
}

 The dataset includes 20 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000346-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/f7h70cxb
title: Fish Creek Watershed Lake Classification, NPRA, Alaska, 2016

description: This study focuses on the development of a 20 attribute lake cover classification scheme for the Fish Creek Watershed (FCW), which is located in the National Petroleum Reserve-Alaska (NPR-A). The GIS dataset consists of 4,362 lakes (which were extracted from a 5m resolution IfSAR/orthophoto image) covering 18% of the 4,900 km2 FCW and provides information on lake morphometry, hydrologic connectivity, surface area dynamics, surrounding terrestrial ecotypes, and other important aquatic conditions. The FCW lake cover classification scheme provides lake specific information for an arctic watershed that will guide research and aid in the management of the natural and human-modified environment.
DOI: 10.5281/zenodo.14713703
title: POPC core

description: POPC simulation parameterized with Sage2.2.1.core.offxml
DOI: 10.5281/zenodo.14713704
title: POPC core

description: POPC simulation parameterized with Sage2.2.1.core.offxml
DOI: 10.5281/zenodo.14713718
title: OLC-WA Datasets

description: Synthetic classification datasets encompass both binary and multiclass classification scenarios. In addition to standard classification settings, these datasets also include variations that account for different types of concept drift, such as abrupt, incremental, and gradual changes.
DOI: 10.5281/zenodo.14713719
title: OLC-WA Datasets

description: Synthetic classification datasets encompass both binary and multiclass classification scenarios. In addition to standard classification settings, these datasets also include variations that account for different types of concept drift, such as abrupt, incremental, and gradual changes.
DOI: 10.5281/zenodo.14713744
title: POPC aux

description: POPC simulation parameterized with Sage2.2.1.aux.offxml
DOI: 10.5281/zenodo.14713745
title: POPC aux

description: POPC simulation parameterized with Sage2.2.1.aux.offxml
DOI: 10.5281/zenodo.14712666
title: Auspex: Unveiling Inconsistency Bugs of Transaction Fee Mechanism in Blockchain

description: This archive was built for availability verification of the Artifact Evaluation of Usenix Security 2025.

 

Aupex is our research to detect inconsistency bugs of transaction fee mechanism in blockchain. For more details, please see our Usenix Security 2025 paper (i.e., Auspex: Unveiling Inconsistency Bugs of Transaction Fee Mechanism in Blockchain. In 34rd USENIX Security Symposium) and our repo in https://github.com/hzysvilla/Auxpex_Sec25.
DOI: 10.5281/zenodo.14712667
title: Auspex: Unveiling Inconsistency Bugs of Transaction Fee Mechanism in Blockchain

description: This archive was built for availability verification of the Artifact Evaluation of Usenix Security 2025.

 

Aupex is our research to detect inconsistency bugs of transaction fee mechanism in blockchain. For more details, please see our Usenix Security 2025 paper (i.e., Auspex: Unveiling Inconsistency Bugs of Transaction Fee Mechanism in Blockchain. In 34rd USENIX Security Symposium) and our repo in https://github.com/hzysvilla/Auxpex_Sec25.
DOI: 10.5281/zenodo.14713686
title: Результати емпіричного дослідження за темою НД «Психологічний супровід професійної діяльності педагогічних працівників в умовах світових змін» (констатувальний етап)
title: The results of empirical research on the topic "Psychological support of professional activity of pedagogical workers in the context of global changes" (the ascertaining stage)

description: Наведені результати другого екпериментально-пошукового етапу прикладного дослідження «Психологічний супровід професійної діяльності педагогічних працівників в умовах світових змін», РК 0123U100445, отримані на констатувальному етапі дослідження, зокрема показники актуальних здібностей, сфер переробки конфліктів, базових емоційних установок, позитивних, негативних, тривожно-депресивних емоцій, особливостей переживання криз залежно від травматичних подій у житті, особливостей переживання негативних думок про себе та оточуючий світ.

У межах наукового дослідження «Психологічний супровід професійної діяльності педагогічних працівників в умовах світових змін» (прикладне дослідження) РК 0123U100445 (2023-2025 рр.)
description: The article presents the results of the second experimental and search stage of the applied research "Psychological support of professional activity of pedagogical workers in the context of world changes", obtained at the ascertaining stage of the study, in particular, indicators of actual abilities, areas of conflict processing, basic emotional attitudes, positive, negative, anxious and depressive emotions, peculiarities of experiencing crises depending on traumatic events in life, peculiarities of experiencing negative thoughts about oneself and the world around.

Within the framework of the scientific research "Psychological support of the professional activity of pedagogical workers in the context of world changes" (applied research) RK 0123U100445 (2023-2025)
DOI: 10.5281/zenodo.14713687
title: Результати емпіричного дослідження за темою НД «Психологічний супровід професійної діяльності педагогічних працівників в умовах світових змін» (констатувальний етап)
title: The results of empirical research on the topic "Psychological support of professional activity of pedagogical workers in the context of global changes" (the ascertaining stage)

description: Наведені результати другого екпериментально-пошукового етапу прикладного дослідження «Психологічний супровід професійної діяльності педагогічних працівників в умовах світових змін», РК 0123U100445, отримані на констатувальному етапі дослідження, зокрема показники актуальних здібностей, сфер переробки конфліктів, базових емоційних установок, позитивних, негативних, тривожно-депресивних емоцій, особливостей переживання криз залежно від травматичних подій у житті, особливостей переживання негативних думок про себе та оточуючий світ.

У межах наукового дослідження «Психологічний супровід професійної діяльності педагогічних працівників в умовах світових змін» (прикладне дослідження) РК 0123U100445 (2023-2025 рр.)
description: The article presents the results of the second experimental and search stage of the applied research "Psychological support of professional activity of pedagogical workers in the context of world changes", obtained at the ascertaining stage of the study, in particular, indicators of actual abilities, areas of conflict processing, basic emotional attitudes, positive, negative, anxious and depressive emotions, peculiarities of experiencing crises depending on traumatic events in life, peculiarities of experiencing negative thoughts about oneself and the world around.

Within the framework of the scientific research "Psychological support of the professional activity of pedagogical workers in the context of world changes" (applied research) RK 0123U100445 (2023-2025)
DOI: 10.5281/zenodo.14605772
title: Identifying Barriers and Solutions to Building African Research Capacity in Geoscience and Adjacent Fields

description: Suvey instrument and raw data. Responses from countries with less than five respondents have been removed from the data. All identifying information, primarily demographic data, has also been removed.
DOI: 10.5281/zenodo.14605773
title: Identifying Barriers and Solutions to Building African Research Capacity in Geoscience and Adjacent Fields

description: Suvey instrument and raw data. Responses from countries with less than five respondents have been removed from the data. All identifying information, primarily demographic data, has also been removed.
DOI: 10.15468/dl.2k9a6b
title: Occurrence Download

description: A dataset listing the 4019234 species recorded in GBIF matching the query:
{ }

 The dataset's 4019234 records were derived from 70565 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000344-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rcxmge
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Asia, Europe)",
 "TaxonKey is Salamandra algira Bedriaga, 1883",
 "Year 2005-2025"
 ]
}

 The dataset includes 103 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000349-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d9de6v
title: Occurrence Download

description: A dataset containing 479 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphorbia squamosa Willd."
 ]
}

 The dataset includes 479 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000351-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.