cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7282/t30z75mj
title: Probability-weighted ensembles of U.S. county-level climate projections for climate risk analysis: Monte Carlo Pattern/Residual (MCPR) data set RCP85

description: Quantitative assessment of climate change risk requires a method for constructing probabilistic time series of changes in physical climate parameters. Here, we develop two such methods, Surrogate/Model Mixed Ensemble (SMME) and Monte Carlo Pattern/Residual (MCPR), and apply them to construct joint probability density functions (PDFs) of temperature and precipitation change over the 21st century for every county in the United States. Both methods produce likely (67% probability) temperature and precipitation projections consistent with the Intergovernmental Panel on Climate Change's interpretation of an equal-weighted Coupled Model Intercomparison Project 5 (CMIP5) ensemble, but also provide full PDFs that include tail estimates. For example, both methods indicate that, under representative concentration pathway (RCP) 8.5, there is a 5% chance that the contiguous United States could warm by at least 8°C. Variance decomposition of SMME and MCPR projections indicate that background variability dominates uncertainty in the early 21st century, while forcing-driven changes emerge in the second half of the 21st century. By separating CMIP5 projections into unforced and forced components using linear regression, these methods generate estimates of unforced variability from existing CMIP5 projections without requiring the computationally expensive use of multiple realizations of a single GCM.## CitationThis data set is intended to accompany these studies:(1) T. Houser, R.E. Kopp, S.M. Hsiang, M. Delgado, A.S. Jina, K. Larsen,M. Mastrandrea, S. Mohan, R. Muir-Wood, D.J. Rasmussen, J. Rising,and P. Wilson. (2015). American Climate Prospectus: Economic Risksin the United States. Columbia University Press. ISBN: 978-0231174565(2) D. J. Rasmussen, M. Meinshausen, and R. E. Kopp. (2016). Probability-weighted ensembles of U.S. county-level climate projections for climaterisk analysis. Journal of Applied Meteorology and Climatology. DOI: 10.1175/JAMC-D-15-0302.1Please cite these works when using any results generated with these projections.Copyright (C) 2016 by ROBERT E. KOPP AND RHODIUM GROUP LLCThis dataset is made available under a non-Commercial Creative Commons License.https://creativecommons.org/licenses/by-nc/3.0/us/You are free to: 1. Share ‒ copy and redistribute the material in any medium or format2. Remix, transform, and build upon the materialYou must:1. Attribution ‒ You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.2. You may not use the material for commercial purposes.No warranties are given.
DOI: 10.57765/2003415
title: ML_CH4_combustion_with_SO2

description: Data repository containing machine learning code, experimental datasets, and documentation (README.md) written in Python for the design of multi-element heterogeneous catalysts for catalytic CH4 combustion resistant to sulfur poisoning.
DOI: 10.57765/2003399
title: ML_direct_N2O_decomposition

description: Data repository consisting of machine learning code written in Python (.py and .ipynb), experimental datasets (.xlsx), and a README.md file describing the code for proposing a multi-element heterogeneous catalyst effective for direct N2O decomposition.
In addition, the code package test.zip was prepared to enable reproduction and hands-on experience of the catalyst discovery workflow on a Jupyter Notebook (grid_search_test_1cycle.ipynb) with only an Anaconda environment.
DOI: 10.15468/dl.hkvfkd
title: Occurrence Download

description: A dataset containing 19397 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eucalyptus socialis"
 ]
}

 The dataset includes 19397 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080446-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/doxchgry
title: Cloth Manipulation Planning Dataset

description: The dataset used in the paper for cloth manipulation planning, consisting of voxel representations of cloth states and manipulation inputs.
DOI: 10.57702/2hnuu1qv
title: DualPyramidGenerativeAdversarialNetworks for Semantic Image Synthesis

description: The proposed DualPyramidGenerativeAdversarialNetworks for semantic image synthesis
DOI: 10.57702/33dvbho2
title: RIO-10 dataset

description: The RIO-10 dataset contains 10 real indoor environments with varying lighting conditions, camera positions, and object arrangements.
DOI: 10.5281/zenodo.18174528
title: Support for Democracy Among the Population of Ukraine (2004, 2013-2025) – Merged data from nationwide public opinion surveys from May 2004 to December 2025

description: Version 1.4 includes data collected in December 2025.
Version 1.3 includes data collected in October 2025.
Version 1.2 includes weighting coefficients and extended list of results (aggregated percentages from 18 surveys).
Version 1.1 includes data collected in August 2025.

The dataset includes data collected from a series of public opinion surveys conducted by the Ilko Kucheriv Democratic Initiatives Foundation in cooperation with the Social Monitoring Centre (in 2004), the Kyiv International Institute of Sociology (in 2019, October and December 2025), and the Razumkov Centre sociological service from May 2004 to August 2025. In total, the dataset includes 10 nationwide public opinion surveys. A total of 19676 adult respondents participated.

The dataset includes a question that reveals the attitudes of Ukrainians towards the democratic regime before and during the Russian invasion. In addition, the main social and demographic characteristics of the respondents were added to the dataset: gender, age, macro-region of residence, type of settlement, education, and financial situation.

The years 2015-2018, 2020, and 2021 are omitted from the dataset, as the question of attitudes towards the democratic regime was not raised in these years. 

Composition of macro-regions:
West – Volyn, Zakarpattya, Ivano-Frankivsk, Lviv, Rivne, Ternopil and Chernivtsi regions;
Center – Vinnytsia, Zhytomyr, Kyiv, Kirovohrad, Poltava, Sumy, Khmelnytskyi, Cherkasy and Chernihiv regions, as well as the city of Kyiv;
South – Zaporizhzhya, Mykolayiv, Odesa, Kherson regions and Crimea;
East – Dnipropetrovsk, Donetsk, Luhansk and Kharkiv regions.

This dataset contains merged survey data from 2004 to 2025 (9 surveys) in SPSS (.sav) format. It has been exported to an Excel file. The contents of the corresponding XLSX file should be identical to the original SAV file. The methodology of all included surveys and the questionnaire are presented in the "Documentation" (PDF file) in English. The dynamics of respondents' answers by year, summarised by the Institute of Sociology of the National Academy of Sciences of Ukraine, is presented in the Excel file "Results" in English.
description: Published on Discuss Data, https://discuss-data.net/dataset/7686c284-fd78-4556-ab87-b1bae9064af6/
Dataset creation: December 2025
description: Method(s) of data collection: Public Opinion PollMethod(s) of data analysis: Descriptive Statistics
DOI: 10.5281/zenodo.18174529
title: Support for Democracy Among the Population of Ukraine (2004, 2013-2025) – Merged data from nationwide public opinion surveys from May 2004 to December 2025

description: Version 1.4 includes data collected in December 2025.
Version 1.3 includes data collected in October 2025.
Version 1.2 includes weighting coefficients and extended list of results (aggregated percentages from 18 surveys).
Version 1.1 includes data collected in August 2025.

The dataset includes data collected from a series of public opinion surveys conducted by the Ilko Kucheriv Democratic Initiatives Foundation in cooperation with the Social Monitoring Centre (in 2004), the Kyiv International Institute of Sociology (in 2019, October and December 2025), and the Razumkov Centre sociological service from May 2004 to August 2025. In total, the dataset includes 10 nationwide public opinion surveys. A total of 19676 adult respondents participated.

The dataset includes a question that reveals the attitudes of Ukrainians towards the democratic regime before and during the Russian invasion. In addition, the main social and demographic characteristics of the respondents were added to the dataset: gender, age, macro-region of residence, type of settlement, education, and financial situation.

The years 2015-2018, 2020, and 2021 are omitted from the dataset, as the question of attitudes towards the democratic regime was not raised in these years. 

Composition of macro-regions:
West – Volyn, Zakarpattya, Ivano-Frankivsk, Lviv, Rivne, Ternopil and Chernivtsi regions;
Center – Vinnytsia, Zhytomyr, Kyiv, Kirovohrad, Poltava, Sumy, Khmelnytskyi, Cherkasy and Chernihiv regions, as well as the city of Kyiv;
South – Zaporizhzhya, Mykolayiv, Odesa, Kherson regions and Crimea;
East – Dnipropetrovsk, Donetsk, Luhansk and Kharkiv regions.

This dataset contains merged survey data from 2004 to 2025 (9 surveys) in SPSS (.sav) format. It has been exported to an Excel file. The contents of the corresponding XLSX file should be identical to the original SAV file. The methodology of all included surveys and the questionnaire are presented in the "Documentation" (PDF file) in English. The dynamics of respondents' answers by year, summarised by the Institute of Sociology of the National Academy of Sciences of Ukraine, is presented in the Excel file "Results" in English.
description: Published on Discuss Data, https://discuss-data.net/dataset/7686c284-fd78-4556-ab87-b1bae9064af6/
Dataset creation: December 2025
description: Method(s) of data collection: Public Opinion PollMethod(s) of data analysis: Descriptive Statistics
DOI: 10.57702/xz4ybv4c
title: Franka Kitchen

description: The Franka Kitchen environment is a challenging long-range control problem, which involves a simulated 9-DOF Franka Emika Robot in a kitchen setting.
DOI: 10.57702/dhikekcx
title: ArtScore

description: A dataset for evaluating the artness of AI-generated images
DOI: 10.57702/j4xl0rbu
title: Atari 2600 games and Duckietown environment

description: The dataset used in this paper is a collection of state-action pairs generated by a pre-trained RL agent, used to train a self-supervised interpretable network (SSINet) to produce attention masks for explaining the agent's decisions.
DOI: 10.57702/nymeh0l8
title: Colour Checker

description: Colour constancy benchmark datasets
DOI: 10.57702/f0ictw9z
title: One-Shot Transfer Learning of Physics-Informed Neural Networks

description: The dataset used in this paper for one-shot transfer learning of physics-informed neural networks.
DOI: 10.57702/99wn0hwd
title: ECMWF forecast data

description: The dataset used in this paper is the ECMWF forecast data, which is a high-resolution weather forecast dataset.
DOI: 10.57702/g5wv2w7q
title: General Vision Encoder Features as Guidance in Medical Image Registration

description: General vision encoders like DINOv2 and SAM have recently transformed computer vision. Even though they are trained on natural images, encoder models have excelled in medical imaging, e.g., in classification, segmentation, and registration.
DOI: 10.5281/zenodo.17618642
title: FUNt Golden Schrödinger–Helmholtz Boundary Resolver (φ⁷ Edition)

description: FUNt — Schrödinger–Helmholtz Boundary Resolver (φ⁷ Edition, v7.5)

The FUNt Boundary Resolver:

the Resolver shows equivalent collapse-classes among boundary conditions.

a unified, mobile-safe framework for solving harmonic modes in 

1-D quantum (Schrödinger), 

classical (Helmholtz), 

and mixed Robin boundary systems.

 

The core finding is that all boundary conditions;

—Dirichlet,

Neumann, and the A2/A3/B2/B3/C2/C3 Robin families

—collapse into one harmonic structure when expressed using p

HRB (Harmonic Resonance Bands) 

and

HTB (Harmonic Transition Bands). 

The φ⁷ stride acts as a natural recursive step across energy levels,

follows the hydrogen atom architecture,

producing a universal eigen-ladder that remains invariant across boundary types.

 

This Resolver ( a colab copy to paste notebook,

serves as the boundary-mode analogue to the FUNt Golden Python Play Model (v5.0).

Where the Play Model reveals geometric collapse-classes among mathematical constants,

(https://zenodo.org/records/17613355)

the Resolver shows equivalent collapse-classes among boundary conditions.

Both tools demonstrate a single principle:

Different symbols → same structure, when resonance drives the order.

The document provides:



a detailed conceptual explanation of HRB and HTB

a clean algebraic treatment of φ⁷-based harmonic stride

step-by-step boundary-mode logic

ready-to-paste Python code for v7.5

a consistent, classroom-safe interpretation

a philanthropically licensed open version for public use


This is part of the FUNt 2025 framework

and is intended for researchers, educators, engineers, and students exploring resonance-driven systems, standing-wave behavior, scaling laws, and harmonic unification across physics and mathematics.
DOI: 10.5281/zenodo.17620157
title: FUNt Golden Schrödinger–Helmholtz Boundary Resolver (φ⁷ Edition)

description: FUNt — Schrödinger–Helmholtz Boundary Resolver (φ⁷ Edition, v7.5)

The FUNt Boundary Resolver:

the Resolver shows equivalent collapse-classes among boundary conditions.

a unified, mobile-safe framework for solving harmonic modes in 

1-D quantum (Schrödinger), 

classical (Helmholtz), 

and mixed Robin boundary systems.

 

The core finding is that all boundary conditions;

—Dirichlet,

Neumann, and the A2/A3/B2/B3/C2/C3 Robin families

—collapse into one harmonic structure when expressed using p

HRB (Harmonic Resonance Bands) 

and

HTB (Harmonic Transition Bands). 

The φ⁷ stride acts as a natural recursive step across energy levels,

follows the hydrogen atom architecture,

producing a universal eigen-ladder that remains invariant across boundary types.

 

This Resolver ( a colab copy to paste notebook,

serves as the boundary-mode analogue to the FUNt Golden Python Play Model (v5.0).

Where the Play Model reveals geometric collapse-classes among mathematical constants,

(https://zenodo.org/records/17613355)

the Resolver shows equivalent collapse-classes among boundary conditions.

Both tools demonstrate a single principle:

Different symbols → same structure, when resonance drives the order.

The document provides:



a detailed conceptual explanation of HRB and HTB

a clean algebraic treatment of φ⁷-based harmonic stride

step-by-step boundary-mode logic

ready-to-paste Python code for v7.5

a consistent, classroom-safe interpretation

a philanthropically licensed open version for public use


This is part of the FUNt 2025 framework

and is intended for researchers, educators, engineers, and students exploring resonance-driven systems, standing-wave behavior, scaling laws, and harmonic unification across physics and mathematics.
DOI: 10.15468/dl.gjpbss
title: Occurrence Download

description: A dataset containing 349225 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-4500.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Poa pratensis",
 "Year 1970-2024"
 ]
}

 The dataset includes 349225 records from 1520 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079732-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.abtnob
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017318-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.er1zhr
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022155-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yw7axh
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000192-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7e3bsm
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Udaya Thurman, 1954"
 ]
}

 The dataset includes 98 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0272677-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f5eonp
title: Occurrence Download

description: A dataset containing 995598 species occurrences available in GBIF matching the query:
{
 "PublishingCountry" : [
 "is Kenya"
 ]
}

 The dataset includes 995598 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017298-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5juok6
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006408-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fu88ww
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000176-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jlvuyc
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017303-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zpsn4e
title: Occurrence Download

description: A dataset containing 2038 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Verrallina Theobald, 1903"
 ]
}

 The dataset includes 2038 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0272676-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.0rvyw9
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000583-160430102343922/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zwcahe
title: Occurrence Download

description: A dataset containing 648 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lilioceris cheni Gressitt & Kimoto, 1961)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 648 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071559-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u4mrhc
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007315-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hxm82z
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017368-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3f5pg8
title: Occurrence Download

description: A dataset containing 10588 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Haemagogus Williston, 1896"
 ]
}

 The dataset includes 10588 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0272687-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8sbhdm
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000604-160430102343922/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.