cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5548152
title: Selected land variables from CESM1(BGC) simulations for 1850 to 2300

description: Here, we provide the selected fields used in our study, Quantifying Carbon Cycle Extremes and Attributing Their Causes Under Climate and Land Use & Land Cover Change from 1850 to 2300 (in review), from CESM1(BGC) fully-coupled runs from 1850 to 2300, comprising of historical (1850-2005), Representative Concentration Pathway 8.5 (2005-2100), and Extension Concentration Pathway 8.5 (2101-2300). In these simulations, land and ocean biogeochemical processes experienced the same trajectory of increasing atmospheric CO2. The ensemble member that has constant plant functional type (PFT) distribution has "pftcon" in the file name; the other simulations have dynamic LULCC forcing. Fore more information of the comparison between simulations with LULCC and without LULCC of CESM1(BGC), please see Mahowald et. al. (2017).

We acknowledge and thank the Community Earth System Model (CESM) Biogeochemistry Working Group (BGCWG) for performing the CESM1(BGC) simulations.

DOI for related CESM1(BGC) simulations:

https://doi.org/10.5065/D6BC3X8Q

Related article : 

J. T. Randerson, et al., 2015: Multi-century changes in ocean and land contributions to climate-carbon feedbacks, Global Biogeochem. Cycles, 29, 744-759, doi:10.1002/2014GB005079

Mahowald, N. M., Randerson, J. T., Lindsay, K., Munoz, E., Doney, S. C., Lawrence, P., Schlunegger, S., Ward, D. S., Lawrence, D., and Hoffman, F. M. (2017), Interactions between land use change and carbon cycle feedbacks, Global Biogeochem. Cycles, 31, 96– 113, doi:10.1002/2016GB005374

Sharma, B., Kumar, J., Collier, N., Ganguly, A. R., & Hoffman, F. M. (2022). Quantifying carbon cycle extremes and attributing their causes under climate and land use and land cover change from 1850 to 2300. Journal of Geophysical Research: Biogeosciences, 127, e2021JG006738. https://doi.org/10.1029/2021JG006738
DOI: 10.5281/zenodo.5548153
title: Selected land variables from CESM1(BGC) simulations for 1850 to 2300

description: Here, we provide the selected fields used in our study, Quantifying Carbon Cycle Extremes and Attributing Their Causes Under Climate and Land Use & Land Cover Change from 1850 to 2300 (in review), from CESM1(BGC) fully-coupled runs from 1850 to 2300, comprising of historical (1850-2005), Representative Concentration Pathway 8.5 (2005-2100), and Extension Concentration Pathway 8.5 (2101-2300). In these simulations, land and ocean biogeochemical processes experienced the same trajectory of increasing atmospheric CO2. The ensemble member that has constant plant functional type (PFT) distribution has "pftcon" in the file name; the other simulations have dynamic LULCC forcing. Fore more information of the comparison between simulations with LULCC and without LULCC of CESM1(BGC), please see Mahowald et. al. (2017).

We acknowledge and thank the Community Earth System Model (CESM) Biogeochemistry Working Group (BGCWG) for performing the CESM1(BGC) simulations.

DOI for related CESM1(BGC) simulations:

https://doi.org/10.5065/D6BC3X8Q

Related article : 

J. T. Randerson, et al., 2015: Multi-century changes in ocean and land contributions to climate-carbon feedbacks, Global Biogeochem. Cycles, 29, 744-759, doi:10.1002/2014GB005079

Mahowald, N. M., Randerson, J. T., Lindsay, K., Munoz, E., Doney, S. C., Lawrence, P., Schlunegger, S., Ward, D. S., Lawrence, D., and Hoffman, F. M. (2017), Interactions between land use change and carbon cycle feedbacks, Global Biogeochem. Cycles, 31, 96– 113, doi:10.1002/2016GB005374

Sharma, B., Kumar, J., Collier, N., Ganguly, A. R., & Hoffman, F. M. (2022). Quantifying carbon cycle extremes and attributing their causes under climate and land use and land cover change from 1850 to 2300. Journal of Geophysical Research: Biogeosciences, 127, e2021JG006738. https://doi.org/10.1029/2021JG006738
DOI: 10.17632/pwhry4278g.1
title: The coupling coefficients with six parameters and the generalized hypergeometric functions

description: In this study, the Gaunt coefficients, Clebsch–Gordan coefficients, and the Wigner 3j and 6j symbols are expressed as the product of generalized hypergeometric functions with unit argument and a normalization coefficient. By exploiting the symmetry properties of generalized hypergeometric functions, these functions are transformed into numerically computable forms, and the normalization coefficients are fully expressed in terms of binomial coefficients. New mathematical expressions, in the form of a series of products of three Gaunt coefficients, are presented, which can be used to verify the accuracy of numerical calculations.
An algorithm has been developed to compute binomial coefficients and generalized hypergeometric functions using recurrence relations, eliminating the need for factorial functions. Utilizing this algorithm and the derived analytical expressions, the Gaunt_CG_3j_and_6j Mathematica program, which numerically calculates the Gaunt coefficients, Clebsch–Gordan coefficients, and the Wigner 3j and 6j symbols, was written without relying on Mathematica’s built-in functions. The program can be easily adapted to other programming languages and run on all versions of Mathematica.
DOI: 10.17632/fk3vsyrxd8
title: Community Resilience to Cholera Epidemics in Uganda: A Realist-informed review of Vulnerability and Intervention mechanisms

description: This dataset supports a realist-informed literature review examining mechanisms that contribute to or reduce vulnerability to cholera outbreaks in Uganda. The data were extracted from documents, including peer-reviewed articles, grey literature, and program evaluations. A six-stage data synthesis approach was used, guided by realist evaluation (Pawson & Tilley, 1997) and resilience frameworks (Blanchet et al., 2017).

The dataset includes:
1. An Excel matrix of 31 studies capturing Context–Mechanism–Outcome (CMO) patterns
2. Synthesized CMOC configurations
3. Thematic groupings of resilience and vulnerability mechanisms

References and coding for absorptive, adaptive, and transformative capacities
Data are provided in open formats (.xlsx and .docx), under a CC-BY 4.0 license, and assigned a persistent DOI through this repository. This dataset is intended to facilitate further research into community-led and systems-level responses to health epidemics in fragile settings.
Keywords:
Cholera, Resilience, Uganda, Realist Review, Community Engagement, WASH, CMO Framework, Public Health, Epidemics, Vulnerability Mechanisms
DOI: 10.17632/fk3vsyrxd8.1
title: Community Resilience to Cholera Epidemics in Uganda: A Realist-informed review of Vulnerability and Intervention mechanisms

description: This dataset supports a realist-informed literature review examining mechanisms that contribute to or reduce vulnerability to cholera outbreaks in Uganda. The data were extracted from documents, including peer-reviewed articles, grey literature, and program evaluations. A six-stage data synthesis approach was used, guided by realist evaluation (Pawson & Tilley, 1997) and resilience frameworks (Blanchet et al., 2017).

The dataset includes:
1. An Excel matrix of 31 studies capturing Context–Mechanism–Outcome (CMO) patterns
2. Synthesized CMOC configurations
3. Thematic groupings of resilience and vulnerability mechanisms

References and coding for absorptive, adaptive, and transformative capacities
Data are provided in open formats (.xlsx and .docx), under a CC-BY 4.0 license, and assigned a persistent DOI through this repository. This dataset is intended to facilitate further research into community-led and systems-level responses to health epidemics in fragile settings.
Keywords:
Cholera, Resilience, Uganda, Realist Review, Community Engagement, WASH, CMO Framework, Public Health, Epidemics, Vulnerability Mechanisms
DOI: 10.17632/b9njb3zkx4
title: Data used for 'Minimum-Time MILP-based EV Charging Scheduling for Prosumers'

description: This Excel file contains a set of real and generated data, which can be useful for simulating a household power system. These data have been used for the simulations presented in the paper 'Minimum-Time MILP-based EV Charging Scheduling for Prosumers'. 

The data are provided with hourly resolution, for a whole year (8760 entries per magnitude), except for the EV data, which are given with a daily resolution (365 entries)

For a household system, the file contains the following data: 
- House consumption
- PV generation
- Buying energy price
- Selling energy price
- EV km traveled per day
DOI: 10.25345/c5wd3qd79
title: MassIVE MSV000098254 - GNPS_Metabolomic_Profiling_Allium_cepa_var_aggregatum_Negative
title: Analysis of metabolomic profiles of nine onion cultivars including Ocanera cultivars (local materials and materials conserved from plant germplasm banks) and Peruvian onions, using LC-MS-QTOF (-)
DOI: 10.17632/b9njb3zkx4.1
title: Data used for 'Minimum-Time MILP-based EV Charging Scheduling for Prosumers'

description: This Excel file contains a set of real and generated data, which can be useful for simulating a household power system. These data have been used for the simulations presented in the paper 'Minimum-Time MILP-based EV Charging Scheduling for Prosumers'. 

The data are provided with hourly resolution, for a whole year (8760 entries per magnitude), except for the EV data, which are given with a daily resolution (365 entries)

For a household system, the file contains the following data: 
- House consumption
- PV generation
- Buying energy price
- Selling energy price
- EV km traveled per day
DOI: 10.15468/dl.h89wgc
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anopheles arabiensis Patton, 1905",
 "Country is Burkina Faso",
 "HasCoordinate is true"
 ]
}

 The dataset includes 167 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054422-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/kthy8wj3n5
title: PHOENIX – Paderborn highly optimized and energy efficient solver for two-dimensional nonlinear Schrödinger equations with integrated extensions

description: In this work, we introduce PHOENIX, a highly optimized explicit open-source solver for two-dimensional nonlinear Schrödinger equations with extensions. The nonlinear Schrödinger equation and its extensions (Gross-Pitaevskii equation) are widely studied to model and analyze complex phenomena in fields such as optics, condensed matter physics, fluid dynamics, and plasma physics. It serves as a powerful tool for understanding nonlinear wave dynamics, soliton formation, and the interplay between nonlinearity, dispersion, and diffraction. By extending the nonlinear Schrödinger equation, various physical effects such as non-Hermiticity, spin-orbit interaction, and quantum optical aspects can be incorporated. PHOENIX is designed to accommodate a wide range of applications by a straightforward extendability without the need for user knowledge of computing architectures or performance optimization. The high performance and power efficiency of PHOENIX are demonstrated on a wide range of entry-class to high-end consumer and high-performance computing GPUs and CPUs. Compared to a more conventional MATLAB implementation, a speedup of up to three orders of magnitude and energy savings of up to 99.8% are achieved. The performance is compared to a performance model showing that PHOENIX performs close to the relevant performance bounds in many situations. The possibilities of PHOENIX are demonstrated with a range of practical examples from the realm of nonlinear (quantum) photonics in planar microresonators with active media including exciton-polariton condensates. Examples range from solutions on very large grids, the use of local optimization algorithms, to Monte Carlo ensemble evolutions with quantum noise enabling the tomography of the system's quantum state.
DOI: 10.17632/kthy8wj3n5.1
title: PHOENIX – Paderborn highly optimized and energy efficient solver for two-dimensional nonlinear Schrödinger equations with integrated extensions

description: In this work, we introduce PHOENIX, a highly optimized explicit open-source solver for two-dimensional nonlinear Schrödinger equations with extensions. The nonlinear Schrödinger equation and its extensions (Gross-Pitaevskii equation) are widely studied to model and analyze complex phenomena in fields such as optics, condensed matter physics, fluid dynamics, and plasma physics. It serves as a powerful tool for understanding nonlinear wave dynamics, soliton formation, and the interplay between nonlinearity, dispersion, and diffraction. By extending the nonlinear Schrödinger equation, various physical effects such as non-Hermiticity, spin-orbit interaction, and quantum optical aspects can be incorporated. PHOENIX is designed to accommodate a wide range of applications by a straightforward extendability without the need for user knowledge of computing architectures or performance optimization. The high performance and power efficiency of PHOENIX are demonstrated on a wide range of entry-class to high-end consumer and high-performance computing GPUs and CPUs. Compared to a more conventional MATLAB implementation, a speedup of up to three orders of magnitude and energy savings of up to 99.8% are achieved. The performance is compared to a performance model showing that PHOENIX performs close to the relevant performance bounds in many situations. The possibilities of PHOENIX are demonstrated with a range of practical examples from the realm of nonlinear (quantum) photonics in planar microresonators with active media including exciton-polariton condensates. Examples range from solutions on very large grids, the use of local optimization algorithms, to Monte Carlo ensemble evolutions with quantum noise enabling the tomography of the system's quantum state.
DOI: 10.15468/dl.wcjynw
title: Occurrence Download

description: A dataset containing 9277499 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is NMNH Extant Specimen Records (USNM, US)"
 ]
}

 The dataset includes 9277499 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054393-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/p3ub2f
title: Fish and marine invertebrates from the Israeli Eastern Mediterranean Sea

description: Fish and marine invertebrates caught with trawl surveys (fish and shrimp trawls) from the Mediterranean continental shelf and upper slope of Israel from 1990 to 2012 (1990-1994, 2000, and 2008-2012).
DOI: 10.15468/dl.amhafm
title: Occurrence Download

description: A dataset containing 423 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes albopictus (Skuse, 1894)",
 "Country is Germany",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 423 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054423-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/gyxpjf3pwc.2
title: LLM-powered voice assistants for music learning: Generational comparison of usability, device preference and learning outcomes

description: This dataset presents task records, brief interviews, and questionnaire survey data in the paper LLM-powered voice assistants for music learning: Generational comparison of usability, device preference and learning outcomes. User response records, questionnaire details, and questionnaire data are also shared in the dataset. These data are provided for readers' reference.
DOI: 10.17632/gdd8nxkrwf
title: Evaluating innovation efficiency in technology industry

description: It is an unbalanced panel dataset comprises 2,180 firm-year observations spanning a ten-year period from 2012 to 2021 and across eleven countries.
It contains 9 variables' raw data, which are two inputs variables: R&D and Num_of_Employees; one output: Revenue in the first stage. And are six variables in the second stage.
It contains 3 kinds of efficiency outcomes, including technical efficiency, pure technical efficiency and scale efficiency.
DOI: 10.17632/gdd8nxkrwf.1
title: Evaluating innovation efficiency in technology industry

description: It is an unbalanced panel dataset comprises 2,180 firm-year observations spanning a ten-year period from 2012 to 2021 and across eleven countries.
It contains 9 variables' raw data, which are two inputs variables: R&D and Num_of_Employees; one output: Revenue in the first stage. And are six variables in the second stage.
It contains 3 kinds of efficiency outcomes, including technical efficiency, pure technical efficiency and scale efficiency.
DOI: 10.15468/dl.g7nxkh
title: Occurrence Download

description: A dataset containing 22561618 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1000-2000"
 ]
}

 The dataset includes 22561618 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054397-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ppkwwmcpwg
title: Massive-scale simulations of 2D Ising and Blume-Capel models on rack-scale multi-GPU systems

description: We present high-performance implementations of the two-dimensional Ising and Blume-Capel models for large-scale, multi-GPU simulations. Our approach takes full advantage of the NVIDIA GB200 NVL72 system, which features up to 72 GPUs interconnected via high-bandwidth NVLink, enabling direct GPU-to-GPU memory access across multiple nodes. By utilizing Fabric Memory and an optimized Monte Carlo kernel for the Ising model, our implementation supports simulations of systems with linear sizes up to L = 2^23, corresponding to approximately 70 trillion spins. This allows for a peak processing rate of nearly 1.15 x 10^5 lattice updates per nanosecond—setting a new performance benchmark for Ising model simulations. Additionally, we introduce a custom protocol for computing correlation functions, which strikes an optimal balance between computational efficiency and statistical accuracy. This protocol enables large-scale simulations without incurring prohibitive runtime costs. Benchmark results show near-perfect strong and weak scaling up to 64 GPUs, demonstrating the effectiveness of our approach for large-scale statistical physics simulations.
DOI: 10.17632/ppkwwmcpwg.1
title: Massive-scale simulations of 2D Ising and Blume-Capel models on rack-scale multi-GPU systems

description: We present high-performance implementations of the two-dimensional Ising and Blume-Capel models for large-scale, multi-GPU simulations. Our approach takes full advantage of the NVIDIA GB200 NVL72 system, which features up to 72 GPUs interconnected via high-bandwidth NVLink, enabling direct GPU-to-GPU memory access across multiple nodes. By utilizing Fabric Memory and an optimized Monte Carlo kernel for the Ising model, our implementation supports simulations of systems with linear sizes up to L = 2^23, corresponding to approximately 70 trillion spins. This allows for a peak processing rate of nearly 1.15 x 10^5 lattice updates per nanosecond—setting a new performance benchmark for Ising model simulations. Additionally, we introduce a custom protocol for computing correlation functions, which strikes an optimal balance between computational efficiency and statistical accuracy. This protocol enables large-scale simulations without incurring prohibitive runtime costs. Benchmark results show near-perfect strong and weak scaling up to 64 GPUs, demonstrating the effectiveness of our approach for large-scale statistical physics simulations.
DOI: 10.34740/kaggle/dsv/12208080
title: Bitcoin BTC, 7 Exchanges, 1m Full Historical Data
DOI: 10.15468/dl.69rctn
title: Occurrence Download

description: A dataset containing 28460913 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2000-2007"
 ]
}

 The dataset includes 28460913 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054396-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/26ck9stzh9
title: Polar Shift: Charge carrier polarization energies in organic electronic materials

description: Electronic polarization of charge carriers in the solid state plays an important role in organic electronics, as it alters the gas phase energy levels associated with phenomena such as charge transport, molecular doping, charge injection and charge separation at interfaces. In this article we present Polar Shift, a software package for calculating the polarization energy of an electron or hole charge carrier in organic electronic materials. The software uses an atomistic approach employing the microelectrostatics model. Molecular charge distributions are represented by atomic point charges, while the molecular polarizability is divided into distributed atomic contributions. The electrostatic and inductive components of the polarization energy are calculated separately. For the electrostatic interactions we propose an efficient cutoff–based scheme that allows fast yet accurate evaluation of the relevant energy. For the induction part we use a self–consistent iterative method based on modified field interaction tensors in the framework of the Thole model. Polar Shift can be applied to ideal molecular crystals, thermally disordered crystalline packings or completely amorphous materials. Many additional features are implemented such as calculation of the molecular polarizability tensor, fitting of molecular polarizabilities to reference values, different schemes for computing induction energies, and extrapolation of induction energies to the bulk limit. Special attention has been paid to the interoperability with other software packages, so Polar Shift can obtain the required input from various widely used file types such as pdb, mol2 or even binary dcd files. The software is parallelized using the MPI standard thus exploiting a wide range of shared and distributed memory computer architectures. Polar Shift is applied to eight different test cases of prototype organic electronics materials demonstrating its capabilities, and the results are compared with existing literature.
DOI: 10.5281/zenodo.15690916
title: QRA infectious animal disease introduction review
DOI: 10.5281/zenodo.15690917
title: QRA infectious animal disease introduction review