cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5519/qd.v5hvtsco
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (12 records)
DOI: 10.25345/c5nz8113d
title: MassIVE MSV000092990 - Low dose radiation effect on brain proteome (pig hippocampus)
title: These data show differences in up- and down-regulation for protein abundances in the hippocampus of radiated vs. sham pigs after total body exposure to low dose radiation (LDR, 1.79 Gy). Tandem mass tags (TMT)-MS results showed 190 up-regulated and 120 down-regulated proteins between the two groups. These TMT-MS findings revealed changes never described before in LDR studies, with several proteins associated with neurodegenerative processes showing altered abundances. These proteomic data may further support the investigation of LDR as a potential beneficial tool to interfere with neurodegeneration and other brain-related disorders.
DOI: 10.6078/m7k935ng
title: 3D History for Ukraine: Archaeological Museum of the Taras Shevchenko National University of Kyiv
DOI: 10.5281/zenodo.8384145
title: Data for Simulating the Volcanic Sulfate Aerosols from the 1991 Eruption of Cerro Hudson and their Impact on the 1991 Ozone Hole

description: Dataset of GEOS output supporting the publication "Simulating the Volcanic Sulfate Aerosols fro the 1991 Eruption of Cerro Hudson and their Impact on the 1991 Ozone Hole".
DOI: 10.5281/zenodo.8384144
title: Data for Simulating the Volcanic Sulfate Aerosols from the 1991 Eruption of Cerro Hudson and their Impact on the 1991 Ozone Hole

description: Dataset of GEOS output supporting the publication "Simulating the Volcanic Sulfate Aerosols fro the 1991 Eruption of Cerro Hudson and their Impact on the 1991 Ozone Hole".
DOI: 10.5066/f7bp00tc
title: Basin Characterization Model of the Great Basin: A Dataset of Historical and Future Hydrologic Response to Climate Change

description: This data release for the Great Basin BCM includes a range of downscaled climate and hydrologic-response variables generated from an ensemble of climate projections within the context of the historical hydro-climatology. The Great Basin BCM was developed at a 270-m spatial resolution using methods previously developed and vetted in California (Flint and Flint, 2012; Flint and others, 2013; Thorne and others 2015). Climate inputs included historical data from 1951-2013 and an ensemble of 12 future climate projections derived from the World Climate Research Programme\'s Coupled Model Intercomparison Project phase 5 (CMIP5) (Taylor et al, 2012). The futures were selected to provide scenarios and models that represented wet and dry conditions for a range of temperature increases across the entire southwest, including the completed California model, the upper Colorado, and the lower Colorado, both of which are in progress. Because of this all the models will have results based on consistent futures contiguous across the entire region once they are completed. Soils and geologic properties for the Great Basin were integrated with digital monthly maps of climate and hydrology, to generate maps representing mean annual and 30-year means for the historical (1951-1980 and 1981-2010) and future periods (2010-2039, 2040-2069, and 2070-2099).
DOI: 10.5281/zenodo.8384269
title: Forest patch histories in the Chicago Region

description: This layer used forest patch layers from three time periods: 2010 (Darling <em>et al.</em> 2023), 1939 (Fahey and Casali 2017), and 1830 (McBride and Halsey 2015) to quantify the disturbance history of forest patches. We classified patch history by assessing the overlap of current patches with the 1939 and 1830 layers. History types were defined as: remnant (forested in all three time periods), regrowth (forested in 2010 and 1830 but not 1939) and novel (currently forested but not forested in the pre-colonial era). It also differentiates between forest cores and edges, with edges being forested area that is within 15 m of the patch edge. This layer was created as part of the paper "Ecological and developmental history impacts the equitable distribution of services".
description: {"references": ["Darling LE, Locke DH, and Baker ME. 2023. Forests patches of the Chicago Region.", "Fahey RT and Casali M. 2017. Distribution of forest ecosystems over two centuries in a highly urbanized landscape. Landsc Urban Plan 164: 13\u201324.", "Mcbride J and Halsey S. 2015. Vegetation of the Prairie Peninsula Region of Southern Lake Michigan as Mapped by the Public Land Survey 1829-1835. Lisle, IL."]}
DOI: 10.5281/zenodo.8384270
title: Forest patch histories in the Chicago Region

description: This layer used forest patch layers from three time periods: 2010 (Darling <em>et al.</em> 2023), 1939 (Fahey and Casali 2017), and 1830 (McBride and Halsey 2015) to quantify the disturbance history of forest patches. We classified patch history by assessing the overlap of current patches with the 1939 and 1830 layers. History types were defined as: remnant (forested in all three time periods), regrowth (forested in 2010 and 1830 but not 1939) and novel (currently forested but not forested in the pre-colonial era). It also differentiates between forest cores and edges, with edges being forested area that is within 15 m of the patch edge. This layer was created as part of the paper "Ecological and developmental history impacts the equitable distribution of services".
description: {"references": ["Darling LE, Locke DH, and Baker ME. 2023. Forests patches of the Chicago Region.", "Fahey RT and Casali M. 2017. Distribution of forest ecosystems over two centuries in a highly urbanized landscape. Landsc Urban Plan 164: 13\u201324.", "Mcbride J and Halsey S. 2015. Vegetation of the Prairie Peninsula Region of Southern Lake Michigan as Mapped by the Public Land Survey 1829-1835. Lisle, IL."]}
DOI: 10.5066/f7rn35x9
title: Coastal geomorphology and vulnerability to sea level rise at the National Hydrography Dataset Coastline

description: National Hydrography Dataset (NHD) Coastline Geomorphology and Risk line-event feature classes are developed and used to characterize the extent and distribution of coastal landform features and the associated relative risk of horizontal erosion at Mean High Water levels (MHW) for the conterminous U.S. coastline. Created along the linear-referenced NHD Coastline using the Hydrographic Event Management (HEM) tool (http://nhd.usgs.gov/tools.html) in a geographic information system the digital data sets attribute the Pacific, Gulf, and Atlantic coasts. Attribution of the linear-referenced NHDCoastline for conterminous US states provides digital vector data identifying the occurrence and extent of landform types attributed with the relative risk of horizontal erosion. This geodata is used to generate risk line-events that quantify the percent and distribution of relative risk rankings as a guide for locating soft to stable shorelines. In a geographic information system, geomorphology and risk line-events to attribute the coast at MHW are created using coastal landform categories and the associated risk of horizontal erosion rankings published in US Coastal Hazards Database (CHDB) reports (Gornitz and White, 1992; 1994; Gornitz et al, 1997). The CHDB geomorphology category index is augmented to include a subtype for rocky, glaciated coast landforms and landforms originally deposited offshore but that are now exposed. Risk rankings for landforms intersected by MHW along coasts that open into oceans or large bays were determined through extraction and modification of the risk parameter classification developed at the University of Virginia, to create the Coastal Erosion Information System (CEIS) (May and others, 1982; 1983, Dolan and others, 1975; 1983; 1989). Previously integrated as one of seven parameters used to characterize coastal vulnerability to sea-level rise, in this study the risk of horizontal change ranking for landforms crossed by the NHDCoastline is independent of the six other physical parameters required to fully assess coastal vulnerability.
DOI: 10.17632/xhr8tgj95g.1
title: Green Manufacturing Research Corpus

description: The "Green Manufacturing Research Corpus" is a meticulously curated dataset that comprises a comprehensive collection of documents dedicated to the domain of green manufacturing. This dataset was meticulously assembled through an extensive search, with a primary focus on documents delving into the intersection of green, sustainable, eco-friendly, and low-carbon practices within the manufacturing sector. Our search strategy involved utilizing a combination of keywords such as green, sustainable, environment, eco-friendly, clean, renewable, zero-waste, and low carbon, alongside the term manufacturing, all within the article titles. This precision ensured that the dataset exclusively features precise and pertinent articles directly tied to the subject of green manufacturing, as of March 6, 2023. In total, the initial search yielded an impressive 3,577 documents, encompassing a diverse array of articles exploring the convergence of green manufacturing with environmental and sustainability dimensions. This dataset forms the cornerstone for our systematic review, allowing us to furnish an authentic portrayal of the current state of the field. It also empowers us to identify emerging trends and confront existing challenges within the realm of green manufacturing. Moreover, we meticulously refined the dataset by excluding specific document types, thereby ensuring that our analysis predominantly centered on original research articles. Document categories excluded from the dataset encompassed review articles (148), conference reviews (39), errata (10), retracted articles (3), and reports (1). This scrupulous curation process culminated in a dataset of 3,376 original research articles. These articles served as the bedrock for our assessment of the present state of green manufacturing research, as well as the identification of key trends, challenges, and opportunities within the field. By relying on this rigorously assembled dataset, we assure that our analysis is firmly anchored in primary sources, capturing recent and relevant discoveries within the dynamic and evolving domain of green manufacturing. Note: This dataset consists of raw files sourced from Scopus. This dataset stands as a valuable resource for researchers, scholars, and policymakers with an interest in the dynamic and ever-evolving field of green manufacturing. It provides a comprehensive overview of the current research landscape, rendering it an indispensable tool for those seeking to gain insights into and contribute to the advancement of sustainable manufacturing practices.
DOI: 10.7924/r4sq9360s
title: Data from: A semi-automated pipeline for finite element modeling of induced electric field in nonhuman primates by transcranial magnetic stimulation

description: Background 
Transcranial magnetic stimulation (TMS) is used to treat a range of brain disorders by inducing an electric field (E-field) in the brain. However, the precise neural effects of TMS are not well understood. Nonhuman primates (NHPs) are increasingly becoming a model for measuring the impact of TMS on neural activity, but a systematic method of quantifying the induced E-field in the cortex of NHPs has not been developed. 

New Method 
The pipeline uses statistical parametric mapping (SPM) to automatically segment a structural MRI image of a rhesus macaque into five tissue compartments. Manual corrections are necessary around implants. The segmented tissues are tessellated into 3D meshes used in finite element method (FEM) software to compute the TMS induced E-field in the brain. The gray matter can be further segmented into cortical laminae using a volume preserving method for defining layers. 

Results 
Models of three NHPs were generated with TMS coils placed over the precentral gyrus. Two coil configurations, active and sham, were simulated and compared. The results demonstrated a large difference in E-fields at the target. Additionally, the simulations were calculated using two different E-field solvers and were found to not significantly differ. 

Comparison with Existing Methods 
Current methods segment NHP tissues manually or only use automated methods for the brain tissue rather than the whole head. Existing methods also do not stratify the gray matter into layers.  

Conclusion 
The pipeline can calculate the induced E-field in NHP models by TMS and can be used to plan implant surgeries and determine approximate E-field values around neuron recording sites.
DOI: 10.34740/kaggle/ds/3789048
title: diabetesDataAnslysis
DOI: 10.17632/vnkbcjtcvr.1
title: Green Synthesis of Lactone-Based Conjugated Polymers for n-Type Organic Electrochemical Transistors

description: Data on OECT performance and impedance measurements. WYZ-400 is p(C-T), WYZ-393 is p(C-g2T), WYZ-401 is p(N-T), and WYZ-412 is p(C-2T).
DOI: 10.17632/j7jrzt34bn.4
title: Moradinour, et al. Exposure to elevated temperature during development affects eclosion and morphology in the temperate Pieris napi butterfly

description: The appended data are related to the manuscript titled "Exposure to elevated temperature during development affects eclosion and morphology in the temperate butterfly Pieris napi". The files contain appendices, Datasets, R-codes and traits photos used in this manuscript.
DOI: 10.17632/j7jrzt34bn.1
title: Moradinour, et al. Exposure to elevated temperature during development affects eclosion and morphology in the temperate Pieris napi butterfly

description: The appended data are related to the manuscript titled "Exposure to elevated temperature during development affects eclosion and morphology in the temperate butterfly Pieris napi". The files contain appendices, Datasets, R-codes and traits photos used in this manuscript.
DOI: 10.17632/j7jrzt34bn.2
title: Moradinour, et al. Exposure to elevated temperature during development affects eclosion and morphology in the temperate Pieris napi butterfly

description: The appended data are related to the manuscript titled "Exposure to elevated temperature during development affects eclosion and morphology in the temperate butterfly Pieris napi". The files contain appendices, Datasets, R-codes and traits photos used in this manuscript.
DOI: 10.17632/j7jrzt34bn.3
title: Moradinour, et al. Exposure to elevated temperature during development affects eclosion and morphology in the temperate Pieris napi butterfly

description: The appended data are related to the manuscript titled "Exposure to elevated temperature during development affects eclosion and morphology in the temperate butterfly Pieris napi". The files contain appendices, Datasets, R-codes and traits photos used in this manuscript.
DOI: 10.17632/j7jrzt34bn.5
title: Moradinour, et al. Exposure to elevated temperature during development affects eclosion and morphology in the temperate Pieris napi butterfly

description: The appended data are related to the manuscript titled "Exposure to elevated temperature during development affects eclosion and morphology in the temperate butterfly Pieris napi". The files contain appendices, Datasets, R-codes and traits photos used in this manuscript.
DOI: 10.17632/3z7xs5tzkd.1
title: Two-stage approach for depot scheduling

description: Two-stage approach for depot scheduling. C# Gurobi Cplex Python
DOI: 10.5063/f1sn07dd
title: The FoRAGE (Functional Responses from Around the Globe in all Ecosystems) database: a compilation of functional responses for consumers and parasitoids, v.4 (2023).

description: This dataset contains 3,013 functional responses for all types of consumers from around the globe. We obtained original functional response curves from publications, standardized the spatial and temporal units of prey density and foraging rate, and refit the curves using standardized methods. The functional response data are augmented with additional information on the habitat and dimensionality of the foraging interaction, predator and prey types and body masses, temperature, and size of the experimental unit. The purpose of the dataset is to provide a global view on the magnitude of predator-prey interaction strengths and to identify the main drivers of variation in functional responses. The FoRAGE database is a living dataset and is intended to be expanded upon the acquisition of additional functional responses. This is the second 2023 update, v4, that includes 139 new rows, additional mass estimates, and a handful of corrections from v3.
DOI: 10.17632/r7mcpdmgbv.1
title: SEASONAL MODULATION OF PECTORALIS MUSCLE FIBER TYPE COMPOSITION IN MIGRATORY SONGBIRDS

description: The pectoralis major is the muscle required for migratory flight in songbirds and has been believed to be exclusively composed of fast oxidative glycolytic (FOG) fibers in most small songbirds (&lt;20 g). Here, we investigated the effect of season (migratory versus non-migratory), migratory distance (within North America versus to South America), and pectoralis size on muscle fiber type in three songbird families: vireos (Vireonidae), warblers (Parulidae), and thrushes (Turdidae). FOG and fast glycolytic (FG) fibers were identified using myosin-ATPase staining. Short-distance migrants within the vireo and warbler families altered their pectoralis muscle to contain FG fibers during non-migratory conditions, while long-distance migrants maintained exclusively FOG fibers, regardless of season. Thrushes, a family of larger songbirds, exhibited mixed fibers regardless of season or migratory distance. This study is one of the first to identify FG fibers in small North American songbirds and highlights the role of migratory distance and season on muscle phenotype.
DOI: 10.6073/pasta/bede603bfce8f8f41adcac0ecf6c7791
title: Spectral and biological characteristics of microbial mats and mosses across Fryxell Basin, Taylor Valley, Antarctica (2018-2019)

description: An intensive field campaign was conducted during the 2018-2019 austral summer to assess spectral and biological characteristics of multiple microbial mat types, as well as mosses, across nine ephemeral glacial meltwater streams in the Fryxell Basin of Taylor Valley, located in the McMurdo Dry Valleys region of Antarctica. In addition to biological sample collection, hyperspectral visible/near-infrared (VNIR) measurements were conducted using an ASD FieldSpec4 spectrometer, corrected and averaged across each mat, moss, and soil type, and downsampled to the multispectral resolution of the WorldView-2 satellite. This package contains a detailed sample archive, associated images, biological characteristics that include ash free dry mass (AFDM), chlorophyll-a, and pigment concentrations, as well as hyperspectral and multispectral reflectance spectra.
DOI: 10.17632/hbkdt4f4hg.1
title: Seasonal changes in the ventilatory response to hypoxia in migratory and non-migratory sparrows

description: Recent research has shown that songbirds that reside at low altitudes will ascend to ~6,000m above sea level during migratory flight. Since migratory flight is aerobically demanding, whether migratory songbirds exhibit plasticity in breathing to maintain oxygen uptake in low-oxygen environments is unknown. This study investigated whether the hypoxic ventilatory response of sparrows was altered between resident (house sparrow) and migratory species (song sparrow and Lincoln’s sparrow) or seasonally (during long daylight versus short daylight length) within a species. Breathing responses were tested using a stepwise reduction in inspired O2 tension (PO2), 21, 16, 12, 9, 7, and 5 kPa during long- and short-day conditions. Robust ventilatory responses to hypoxia were observed in all species, although song sparrows and Lincoln’s sparrows exhibited greater increases in ventilation in severe hypoxia compared to house sparrows. All species became more sensitive to hypoxia during short days compared to long days by increasing breathing frequency and total ventilation, with reduced pulmonary oxygen extraction overall. Although all sparrows had similar hypoxic ventilatory responses in moderate hypoxia, our findings suggest that migratory sparrows breathe more effectively in severe hypoxia compared to house sparrows, which would be important for maintaining oxygen uptake during migratory flights. Our findings also provide support for seasonal plasticity in the first step of the oxygen cascade, pulmonary ventilation, in migratory songbird species, which has not been well documented.
DOI: 10.17632/dvgrh8r8sf.1
title: Indoxyl sulfate has selective anticancer potential against colon cancer cells

description: There are number of reports about anti-cancer activity of indole derivatives and some of them such as Vinblastine have been used in clinic evaluations. In this study, we investigated the role of indoxyl sulfate (IS), an indole derivative, for its selective anti-cancer activity on colon cancer cells. Whether indoxyl sulfate has any harmful effect on normal colonic cells has also been studied. IS treatment on HCT-116 and HT-29 human epithelial adenocarcinoma cell lines led decrease in cell proliferation efficiency, cell viability and ATP content was observed. Colon cancer cells showed 10% increase in cell apoptosis in comparison to control. Due to IS treatment, cell morphology got distorted, cell number found decreased, intracellular vesicles formed and cells were found floated in the media. Cells also showed loss in membrane integrity and decrease in colony forming ability. Indoxyl sulfate also caused cell cycle to cease at G2/M phase. During animal study, balb/c mice were treated with 100mM of indoxyl sulfate to check colonic inflammation, if any, by IS administration and level of inflammatory cytokines IL-17A, IL-1β and TNF-α were studied. The change in the level of inflammatory cytokines after IS treatment was found statistically insignificant, hence IS was found not causing inflammation. Histological study also showed no sign of inflammation after IS treatment. No significant change in the length of intestine and spleen was noted after IS treatment. In conclusion, we found IS has selective deleterious and anticancer effect on colon cancer cells and does not cause harm to normal colonic cells.
DOI: 10.17632/vndvxw63sb.1
title: Prototype Test Data

description: Data from the test to verify the methodology and the prototype
DOI: 10.17632/4gsk5drsw9.1
title: BMP test Prototype Code

description: Code of the prototype controller development in C++ variant language
DOI: 10.17632/vg53hmy646.1
title: Raw Data Analysis Code from BMP test

description: Code in Python language using to analyze data from the BMP test
DOI: 10.17632/868fhtygk9.1
title: THE PLASTICITY INDEX OF INORGANIC CLAY

description: This paper presents a model that can be used to compute the plasticity index of inorganic soil using the correlation between the liquid limit and the plasticity index. The model was developed using British fall cone Atterberg limit test results using 120 inorganic soils of widely varying plasticity, including commercial bentonite, and validated using 136 Atterberg limits test results from the literature. Analysis of the Atterberg limits data of widely varying plasticity characteristics and geological origin indicates that the plasticity index of most inorganic soil follows a well-defined trajectory in the space of liquid limit and plasticity index, which can be modeled mathematically, suggesting that each liquid limit is associated with a unique value of the plasticity index.
DOI: 10.48366/r641720
title: NLP-based Representations of Sentiment Analysis for African Languages

description: This comparison gives representations of sentiment analysis for African languages, the various methods, evaluation tools, implementation approaches and the results when implemented on various datasets.