cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/xr9tg6j7nx.1
title: Dataset for Machine learning assisted prediction of defects for laser powder bed fusion of nickel-based superalloy

description: This document contains partial defect image processed by semantic segmentation model , deep learning code, binary model code, machine learning regression model code, and AM parameters with different defect datasets
DOI: 10.17632/2nnxg4w39s.1
title: de Paz et al., 2023. Traditional orchard abandonment differently affects beneficial arthropods in contrasting landscape contexts in a Mediterranean region

description: Full data from our manuscript "Traditional orchard abandonment differently affects beneficial arthropods in contrasting landscape contexts in a Mediterranean region" yet to be published.
DOI: 10.17632/2nnxg4w39s.2
title: de Paz et al., 2023. Effects of Traditional Orchard Abandonment and Landscape Context on the Beneficial Arthropod Community in a Mediterranean Agroecosystem. Insects 14(3), 277

description: Full data from our manuscript "Effects of Traditional Orchard Abandonment and Landscape Context on the Beneficial Arthropod Community in a Mediterranean Agroecosystem" recently published in Insects https://doi.org/10.3390/insects14030277.
DOI: 10.17632/56zrtnn7sh.1
title: Data for: Molecular transformation of petroleum compounds by hydroxyl radicals produced upon oxidation of reduced nontronite

description: Raw data for all figures in the manuscript and supplementary material by Liu et al. to be published by Geochimica et Cosmochimica Acta as "Molecular transformation of petroleum compounds by hydroxyl radicals produced upon oxidation of reduced nontronite".
DOI: 10.17632/r3z55hdt89.1
title: Datasets for Sustainability Reporting Index of Agricultural & Plantation Companies in Malaysia

description: The dataset contains detailed information on sustainability reporting index in agriculture and plantation companies in Malaysia to assess firms’ adherence to SRG and GRI guidelines.
DOI: 10.17632/mhzmzd5cwx.1
title: GrapesNet: Indian Grape Clusters RGB & RGB-D Image Datasets

description: There are four different RGB and RGB-D image datasets of grape clusters created in Indian vineyards are proposed in the GrapesNet: 
1. Single grape cluster per image with artificial background and single grape cluster per image with real background 
2. Multiple clusters per image with real background 
3. RGB-D images of vineyard with natural environment 
4. Single grape cluster per RGB-D image with some experimental set-ups and artificial environment. 
All the datasets are taken at Indian vineyard in real environmental conditions with different light conditions, different camera angles and different occlusions to build the reliable and robust deep learning models for the real-time applications. White grapes are considered for creating the GrapesNet because most of the presently available vineyard datasets are on red grapes. Total 11000+ images are included in GrapesNet. It is strong believe that all these datasets are very helpful for training, testing and validating the grape cluster detection and segmentation using various deep learning models.
DOI: 10.17632/t98vt5yg8v.1
title: EQ-5D-5L or EQ-HWB-S: which is the better instrument for capturing spillover effects in parental carers of children with COVID-19?

description: Raw data
DOI: 10.17632/t9kynfj5jf.1
title: Searchable dataset on state-of-the-art agricultural greenhouse gas mitigation measures detailing their potential contribution to emissions abatement and existing gaps in knowledge

description: This comprehensive dataset presents the quality-controlled (QC) results of a systematic review based on peer-reviewed literature and relevant ‘grey’ reports to address the question ’can the agricultural sector in the UK reduce, or offset, its direct agricultural emissions based on existing evidence?’. We considered the different implications of mitigation measures in terms of food security, energy, environmental degradation, and value for money related to the mitigation measures. 
To do so, we followed the Collaboration for Environmental Evidence (CEE) guidelines to create our systematic review. The search included different online scientific databases (e.g., Web of Science Core Collection; Scopus) and specialist websites of relevant UK organisations (e.g., Department for Environment and Rural affairs (Defra) (http://defra.gov.uk/); National Farmers' Union (NFU) (https://www.nfuonline.com/)). We used the search terms within three categories (activity (e.g., ‘arable crops’, ‘pasture’), intervention (e.g., ‘practice’, ‘measure’), and outcome (e.g., ‘carbon footprint’, ‘greenhouse gas emissions’), which were combined using the Boolean operator “OR”. However, we combined the three categories into a search string using the Boolean operator “AND”. The temporal boundary of the literature search included relevant data published between 2017 and 2022. The geographic boundary focussed on UK-specific literature; however, studies which covered global scale, including the UK, were also considered and only UK related data was assessed. 
Article screening was evaluated for relevance based on the eligibility criteria at three levels: title, abstract and full text, using the systematic review software Rayan. Eligible studies were subject to a critical appraisal. We assessed study validity and categorised relevant studies as “validated”, “not validated” and “unclear validity” (the latter could also be considered ‘inconclusive’). Validity criteria included both susceptibility to bias (internal validity: study design, strength of evidence and reliability/replicability) and relevance of the study for our review questions (external validity). A study was categorised to be ‘unclear’ if it did not report sufficient details to judge its validity (e.g., vague methodological description or it is difficult to interpret the efficacy of the mitigation measure). We retained 53 relevant studies covering several agricultural management practices and technologies which can be deployed on farms, in order to help mitigate climate change. 
This novel, open access dataset can inform scientists and policymakers on state-of-the-art GHG-related studies and guide funding bodies to target areas which need urgent attention. Further, it gives agri-food sustainability experts a platform to explore each promising mitigation measure in further detail through, for example, scenario-based Life Cycle Assessments of ‘cradle-to-farmgate’ systems.
DOI: 10.17632/txk2vp6657.1
title: Food-caching mountain chickadees learn abstract rule to solve spatial-temporal task

description: Cognitive task description:
In winter 2021-2022, we tested wild, food-caching mountain chickadees (Poecile gambeli) in their natural environment on a novel spatial-temporal task to test whether chickadees could learn and use an abstract rule while making foraging decisions in a complex spatial-temporal task. In this task, chickadees had to learn to track the daily location of a food reward that moved predictably around a square spatial array of eight feeders. Each day, only one of eight feeder locations provided food to each bird. Each night, the food reward was rotated either clockwise or counterclockwise to the nearest feeder in that direction, so that the following day birds had to find their new rewarding feeder. The food reward was rotated every day in the same direction for each bird for up to 34 days. 

Hypotheses:
The design of this spatial-temporal task allowed us to discriminate between two different processes that birds could use to solve the task. First, if birds relied on associative learning, they would be expected to use memory recency to visit the most recently rewarding feeder, even after the food reward rotated each day. In this case, birds using associative learning and memory should first visit the old rewarding feeder from the previous day, then continue to search by moving backwards to the locations that they remembered recently provided food. Alternatively, if birds learned the rule of the spatial-temporal rotation, they should search for the new rewarding feeder by moving forward toward the correct rewarding feeder and away from the previously rewarding feeders. This second method represents using an abstract rule: birds must learn that the food reward is located one position to the left (or right) of the most recently rewarding feeder. They must apply this learned relationship to new feeders, as the rewarding feeder location continues to rotate around the feeder array each day. We conducted two additional cognitive tasks prior to the spatial-temporal task to assess the role of individual cognitive ability in learning an abstract rule. Using the same spatial feeder apparatus, we tested individual spatial learning and memory ability and single reversal learning ability, often used to estimate cognitive flexibility. 

We found evidence that chickadees learned and used the abstract direction rule to search for the food reward. This may be the first evidence of abstract rule use in a wild bird in natural conditions.
DOI: 10.17632/8kmtjnr47n.1
title: Dataset for Indoor Air Temperature Monitoring using Ultrasonic Travel-Time Tomography

description: This dataset presents the indoor air temperature measurements using the novel technique of Acoustic travel time TOMography (ATOM) in the ultrasonic frequency range. The data was collected across decreasing and increasing indoor air temperature scenarios within the climate chamber laboratory of the Building Physics department at Bauhaus-University Weimar. The temperatures derived from the ATOM system were compared against those recorded by highly accurate NTC thermistors as a benchmark. The measurements encompassed both steady-state and transient conditions. Moreover, the developed ultrasonic setup contains a preamplifier to enhance the power of the recorded signal. This preamplifier introduces a phase shift which should be measured and compensated. Accordingly, the process of the phase shift measurements for the utilized preamplifier is provided. It covers two approaches of performing the measurements in a numeric computing platform i.e. MATLAB and validating measurements by conducting phase shift measurements using an oscilloscope. 
Furthermore, the data contains MATLAB codes for measuring the impulse response of the room and correspondingly detecting the travel times of the direct paths and early reflections.
DOI: 10.25582/data.2020-03.1962379/2361838
title: Data for EMSL Project 48666 from March 2020
DOI: 10.25582/data.2020-03.1962380/2361839
title: Data for EMSL Project 48666 from March 2020
DOI: 10.25582/data.2020-02.1942825/2361840
title: Data for EMSL Project 48666 from February 2020
DOI: 10.25582/data.2020-02.1947590/2361841
title: Data for EMSL Project 48666 from February 2020
DOI: 10.25582/data.2020-03.1959207/2361842
title: Data for EMSL Project 48666 from March 2020
DOI: 10.25582/data.2020-03.1959626/2361843
title: Data for EMSL Project 48666 from March 2020
DOI: 10.25582/data.2020-03.1958877/2361844
title: Data for EMSL Project 48666 from March 2020
DOI: 10.25582/data.2020-02.1947480/2361845
title: Data for EMSL Project 48666 from February 2020
DOI: 10.25582/data.2020-02.1954748/2361846
title: Data for EMSL Project 48666 from February 2020
DOI: 10.25582/data.2020-03.1959617/2361847
title: Data for EMSL Project 48666 from March 2020
DOI: 10.25582/data.2020-02.1949231/2361848
title: Data for EMSL Project 48666 from February 2020
DOI: 10.25582/data.2020-03.1959202/2361849
title: Data for EMSL Project 48666 from March 2020
DOI: 10.25582/data.2020-02.1940574/2361850
title: Data for EMSL Project 48666 from February 2020
DOI: 10.25582/data.2020-02.1955303/2361851
title: Data for EMSL Project 48666 from February 2020
DOI: 10.25582/data.2020-02.1947584/2361852
title: Data for EMSL Project 48666 from February 2020
DOI: 10.25582/data.2020-02.1955319/2361853
title: Data for EMSL Project 48666 from February 2020
DOI: 10.25582/data.2020-03.1962666/2361854
title: Data for EMSL Project 48666 from March 2020
DOI: 10.25582/data.2020-03.1961305/2361855
title: Data for EMSL Project 48666 from March 2020
DOI: 10.25582/data.2020-02.1949206/2361856
title: Data for EMSL Project 48666 from February 2020
DOI: 10.15468/dl.54b59t
title: Occurrence Download

description: A dataset containing 1292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 6.13863023341114",
 "DecimalLongitude is less than 6.14168978659553",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 1292 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001077-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dx3su6
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Eutropis trivittata (Hardwicke & Gray, 1827)"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088971-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yy9aq4
title: Occurrence Download

description: A dataset containing 1186524 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-78.50371 1.73298,-78.77653 1.83524,-79.0323 1.64777,-78.79358 1.37504,-78.11982 0.86774,-77.74469 0.83365,-77.40367 0.6461,-77.36956 0.27098,-76.46584 0.18572,-76.24418 0.44149,-75.83494 0.18572,-75.54507 -0.00184,-75.3234 0.73135,-75.85199 0.90184,-76.36354 1.02119,-76.53405 1.34509,-77.65944 1.65191,-78.50371 1.73298))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1186524 records from 540 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088984-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vrkqqs
title: Occurrence Download

description: A dataset containing 15444 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fucus serratus L.",
 "Geometry POLYGON((-28.125 64.623877,-28.125 25.482951,59.414062 25.482951,59.414062 64.623877,-28.125 64.623877))",
 "Year is greater than or equal to 1975"
 ]
}

 The dataset includes 15444 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013817-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.33ex8s
title: Occurrence Download

description: A dataset containing 207 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (ARG, CHL, PRY, URY, FLK, BRA.21_1, BRA.16_1, BRA.24_1)",
 "TaxonKey is Jupunba Britton & Rose"
 ]
}

 The dataset includes 207 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000855-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13988538
title: Theoretical Resolution of the Birch and Swinnerton-Dyer Conjecture: A Comprehensive Approach: Stability Approach and Numerical Investigation of Elliptic Curves

description: Abstract

 

This paper introduces a comprehensive theoretical analysis of the Birch-Swinnerton-Dyer Conjecture, a longstanding and profound challenge in modern number theory. Our approach is built upon a novel method of stable numerical integration and Fourier transformation, specifically tailored to analyze elliptic curves under extreme mathematical and computational conditions. The method developed aims to ensure the stability of numerical computations, even when dealing with highly complex parameters and challenging computational environments. By maintaining computational stability, this approach allows for precise analysis of elliptic curves, revealing deeper insights into their properties without compromising the accuracy of the results.

 

The significance of this method lies in its ability to provide reliable convergence results, which are crucial for understanding the deeper mathematical structure of elliptic curves. These structures are intimately tied to the Birch-Swinnerton-Dyer Conjecture, making this work a potentially important contribution to the ongoing efforts to address this conjecture.

 

f(x) = e^{-tx^2} \quad \sqrt{\infty} \int_{0}^{\infty} t dt \quad (\text{Stable numerical integration})

 

F{g(t)} = \int_{-\infty}^{\infty} g(t)e^{-i\omega t} dt \quad (\text{Stability of Fourier transformation}) ]

 

y^2 = x^3 + ax + b \quad (\text{Elliptic curve and its numerical stability})

 

The results presented in this theoretical study provide a significant step forward in the analysis of elliptic curves and their relation to the Birch-Swinnerton-Dyer Conjecture. While the analysis offers substantial progress, the findings remain theoretical and are subject to further review and validation by the broader mathematical community.

 

In this paper, we will showcase the methods and frameworks used to achieve stable numerical results under extreme conditions, alongside a discussion of the potential implications for future research. These methods open new possibilities for tackling the Birch-Swinnerton-Dyer Conjecture and offer a foundation for further exploration into the deeper properties of elliptic curves. While detailed calculations and specific results are beyond the scope of this abstract, we present an overview of the approach taken and the rigorous mathematical tools employed. These include advanced techniques in numerical integration and Fourier analysis, both of which have been crucial in ensuring the accuracy and stability of the elliptic curve analysis.

 

This theoretical work marks a significant contribution to the ongoing dialogue surrounding the Birch-Swinnerton-Dyer Conjecture. However, the results are preliminary, and further evaluation and peer review will be necessary to determine their full impact on the field. The proposed method offers a solid foundation for future investigations and potential advancements in the theory of elliptic curves.

 

 

---
DOI: 10.5281/zenodo.13988539
title: Theoretical Resolution of the Birch and Swinnerton-Dyer Conjecture: A Comprehensive Approach: Stability Approach and Numerical Investigation of Elliptic Curves

description: Abstract

 

This paper introduces a comprehensive theoretical analysis of the Birch-Swinnerton-Dyer Conjecture, a longstanding and profound challenge in modern number theory. Our approach is built upon a novel method of stable numerical integration and Fourier transformation, specifically tailored to analyze elliptic curves under extreme mathematical and computational conditions. The method developed aims to ensure the stability of numerical computations, even when dealing with highly complex parameters and challenging computational environments. By maintaining computational stability, this approach allows for precise analysis of elliptic curves, revealing deeper insights into their properties without compromising the accuracy of the results.

 

The significance of this method lies in its ability to provide reliable convergence results, which are crucial for understanding the deeper mathematical structure of elliptic curves. These structures are intimately tied to the Birch-Swinnerton-Dyer Conjecture, making this work a potentially important contribution to the ongoing efforts to address this conjecture.

 

f(x) = e^{-tx^2} \quad \sqrt{\infty} \int_{0}^{\infty} t dt \quad (\text{Stable numerical integration})

 

F{g(t)} = \int_{-\infty}^{\infty} g(t)e^{-i\omega t} dt \quad (\text{Stability of Fourier transformation}) ]

 

y^2 = x^3 + ax + b \quad (\text{Elliptic curve and its numerical stability})

 

The results presented in this theoretical study provide a significant step forward in the analysis of elliptic curves and their relation to the Birch-Swinnerton-Dyer Conjecture. While the analysis offers substantial progress, the findings remain theoretical and are subject to further review and validation by the broader mathematical community.

 

In this paper, we will showcase the methods and frameworks used to achieve stable numerical results under extreme conditions, alongside a discussion of the potential implications for future research. These methods open new possibilities for tackling the Birch-Swinnerton-Dyer Conjecture and offer a foundation for further exploration into the deeper properties of elliptic curves. While detailed calculations and specific results are beyond the scope of this abstract, we present an overview of the approach taken and the rigorous mathematical tools employed. These include advanced techniques in numerical integration and Fourier analysis, both of which have been crucial in ensuring the accuracy and stability of the elliptic curve analysis.

 

This theoretical work marks a significant contribution to the ongoing dialogue surrounding the Birch-Swinnerton-Dyer Conjecture. However, the results are preliminary, and further evaluation and peer review will be necessary to determine their full impact on the field. The proposed method offers a solid foundation for future investigations and potential advancements in the theory of elliptic curves.

 

 

---
DOI: 10.15468/dl.nke2b8
title: Occurrence Download

description: A dataset containing 1512792 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.18_1",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1512792 records from 631 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000841-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13987554
title: Characterizing the spatial correlation of coseismic slip distributions: A data driven Bayesian approach

description: Slip models for the simulated case and the Illapel earthquake are provided. The zip file contains processed data, predictions, and uncertainty estimates for the Illapel event.
DOI: 10.5281/zenodo.13987555
title: Characterizing the spatial correlation of coseismic slip distributions: A data driven Bayesian approach

description: Slip models for the simulated case and the Illapel earthquake are provided. The zip file contains processed data, predictions, and uncertainty estimates for the Illapel event.
DOI: 10.5281/zenodo.11301783
title: Extracts from Cariola, 2014, Imagin Cogn Pers
DOI: 10.5281/zenodo.13213101
title: Supporting Information #2: R scripts and data for figures, tables, and stats

description: Supporting Information #2: R scripts and data R scripts and data for figures, tables, and stats. Published in Holloran et al. 2024. Integrating morphology and ZooMS-identified fauna provides insights into species diversity and Neanderthal - carnivores interactions in shared landscapes: Evidence from Picken's Hole, Britain. PaleoAnthropology. 2024:2.

R studio and R are required. Open .Rproj, and then .R script file within R studio to begin.