cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/63pxv64h75.2
title: Electricity generation, natural gas consumption and CO2 emission data of a power plant in Dhaka, Bangladesh

description: This study collected fuel consumption and electricity generation data from an engine-based natural gas-fired power plant in Dhaka Export Processing Zone Authority (DEPZ), Bangladesh. In this study, CO2 emission was calculated using IPCC 2006 guidelines from fuel consumption data from 2015 to 2022. This data will be helpful in further study and in the preparation of emission forecasting and emission reduction strategies. CO2 Emission forecasting is an important tool for predicting future levels of greenhouse gas emissions. It helps us understand the impact of human activities like power generation, fuel burn on the environment, and climate change. By analyzing past trends and current data, this study will make informed decisions about reducing emissions and mitigating the effects of climate change. Accurate emission forecasts are essential for National and international policymakers, businesses, and individuals to develop effective strategies for reducing emissions and transitioning to a more sustainable future. 
However, this dataset also included forecasted dataset for 2023- 2026. Forecasting is done using the Extrem Learning Machine (ELM) model in Rsudio.
DOI: 10.17632/63pxv64h75.3
title: Electricity generation, natural gas consumption and CO2 emission data of a power plant in Dhaka, Bangladesh

description: This study collected fuel consumption and electricity generation data from an engine-based natural gas-fired power plant in Dhaka Export Processing Zone Authority (DEPZ), Bangladesh. In this study, CO2 emission was calculated using IPCC 2006 guidelines from fuel consumption data from 2015 to 2022. This data will be helpful in further study and in the preparation of emission forecasting and emission reduction strategies. CO2 Emission forecasting is an important tool for predicting future levels of greenhouse gas emissions. It helps us understand the impact of human activities like power generation, fuel burn on the environment, and climate change. By analyzing past trends and current data, this study will make informed decisions about reducing emissions and mitigating the effects of climate change. Accurate emission forecasts are essential for National and international policymakers, businesses, and individuals to develop effective strategies for reducing emissions and transitioning to a more sustainable future. 
However, this dataset also included forecasted dataset for 2023- 2026. Forecasting uses the Linear Extrem Learning Machine (LELM) model in Rsudio. Rscript and historical datasets with predicted data presented here.
DOI: 10.17632/5czjjttm9h.1
title: Supplementary Dataset S1

description: Processed R-seq data received from ERCB.
DOI: 10.17632/x7rc76bpyy.1
title: Unprocessed western blots for DEVELOPMENTAL-CELL-D-23-00392

description: Unprocessed western blots data
DOI: 10.17632/5bdgc4ndbp.1
title: Digital image correlation videos of 3-point test of PVA-reinforced and PP-reinforced geopolymer composites

description: Cellulose nanocrystals (CNC) were incorporated in PVA-Reinforced and PP-reinforced geopolymer composites. This Data set presents digital image correlation videos of PVA-reinforced and PP-reinforced geopolymer composites during 3-point bend testing.

Data is organized as the following:

1. Digital Image Correlation (DIC) videos of fiber-reinforced geopolymer composites reinforced with 12mm PVA fibers and PP fibers

1.1. DIC videos for bending

1.2. DIC videos for fracture

1. Digital Image Correlation (DIC) videos of fiber-reinforced geopolymer composites reinforced with long PVA (30 mm) fibers and PP fibers (50 mm)

2.1. DIC videos for bending

2.2. DIC videos for fracture
DOI: 10.15468/dl.ur33z8
title: Occurrence Download

description: A dataset containing 451 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptorhabdos parviflora (Benth.) Benth."
 ]
}

 The dataset includes 451 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043198-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/gdh35w7mkv.1
title: Cost benefit analysis with varying discount rates

description: This code performs a cost-benefit analysis by plotting the Net Present Value (NPV) over time for different discount rates. It uses matplotlib to generate the visualizations.

Here's a breakdown of what the code does:

It imports the necessary libraries, matplotlib.pyplot and numpy, which are commonly used for plotting and numerical operations, respectively.
It defines a time range T using numpy's arange function, which generates an array of numbers from 0 to 10 with a step size of 0.1, representing time in years.
It defines two functions cost_function(t) and benefit_function(t) that represent the cost and benefit functions over time. These functions are defined using mathematical expressions.
It creates a list discount_rates containing different discount rates to explore.
It sets up a figure with a specific size using plt.figure(figsize=(10, 6)) to adjust the dimensions of the plot.
It iterates over each discount rate in the discount_rates list.
Inside the loop, it calculates the NPV for each discount rate at different time points using the provided cost and benefit functions and the formula for NPV.
It plots the NPV over time using plt.plot(T, NPV, label=f'Discount Rate = {r}'), where T is the time range and NPV is the calculated Net Present Value for the current discount rate r. It also labels each plot with the corresponding discount rate.
It adds labels to the x-axis (Time (years)) and y-axis (Net Present Value), sets the title of the plot (Cost-Benefit Analysis with Varying Discount Rates), adds a legend to distinguish between different discount rates, and enables grid lines for better readability.
Finally, it displays the plot using plt.show().
In summary, this code allows for the comparison of the Net Present Value over time under different discount rates, providing insights into the financial viability of a project or investment.
DOI: 10.17632/zc6gzt8n84.1
title: User Preference distribution

description: The data visualized in the plot represents a three-dimensional distribution of user preferences based on age and geographic region.

X-axis (Age): The horizontal axis represents age, ranging from 20 to 70 years. Age values are evenly distributed within this range.

Y-axis (Geographic Region): The vertical axis represents geographic regions, with values ranging from 1 to 10. Geographic regions are evenly distributed within this range.

Z-axis (User Satisfaction): The depth axis represents user satisfaction, indicating the level of satisfaction associated with specific combinations of age and geographic region. User satisfaction values are calculated based on a user satisfaction function, which incorporates both age and geographic region as parameters.

Plot: The plot depicts a surface that represents the distribution of user satisfaction across different age groups and geographic regions. The surface is generated using the plot_surface function from the mpl_toolkits.mplot3d module.

Color Map: The color of the surface varies to indicate the magnitude of user satisfaction. A color map (cmap) called 'viridis' is applied to the surface, where different colors correspond to different levels of user satisfaction.

Labels: The plot includes labels for each axis: 'Age' for the x-axis, 'Geographic Region' for the y-axis, and 'User Satisfaction' for the z-axis.

Title: The title of the plot is "User Preference Distribution", providing an overview of what the plot represents.

Overall, this visualization allows for the exploration of how user satisfaction varies across different age groups and geographic regions, providing insights into potential patterns or trends in user preferences.
DOI: 10.15468/dl.kbcrnt
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lindsaea adiantoides J.Sm."
 ]
}

 The dataset includes 50 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043200-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/m4v3kwzy55.1
title: Amharic Homophone_Dataset

description: This dataset has two columns: the first column is named as text and the second column is named as sense. The text column contains 1756 text samples for 4 pairs of homophonic Amharic words: ድህነት(d’hnet) and ድኅነት( d’hnet), ምሁር(m’hur) and ምሑር(m’hur), በአል(be’al) and በዓል(be’al), አቢይ(abiy) and ዐቢይ(abiy) . The sample is a sentence that contains homophonic words. The sense column contained the contextual meaning(sense) of the homophonic word in the given sample. The contextual meaning of words is determined by based on Akalewold Kiflie dictionary
DOI: 10.15468/dl.sbx3pv
title: Occurrence Download

description: A dataset containing 231 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lilium lankongense Franch."
 ]
}

 The dataset includes 231 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043202-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/zy629rxh99.1
title: Energy consumption before and after design changes

description: The data visualized in the plot represents energy consumption over a specified time period, comparing two scenarios: before and after certain design changes.

X-axis (Time): The horizontal axis represents time in hours, spanning from 0 to 10 hours.

Y-axis (Energy Consumption): The vertical axis represents energy consumption. The energy consumption values are calculated based on the functions E(t) and E_prime(t).

Plot: Two lines are plotted on the graph, each representing energy consumption over time for a different scenario:

Before Changes: This line represents energy consumption before the design changes. It is calculated using the function E(t).
After Changes: This line represents energy consumption after the design changes. It is calculated using the function E_prime(t).
Legend: The legend on the plot indicates which line corresponds to each scenario: "Before Changes" and "After Changes".

Title: The title of the plot is "Energy Consumption Before and After Design Changes", providing a clear indication of what the plot represents.

Gridlines: Gridlines are added to the plot for better visualization and reference.

Overall, this visualization allows for a comparison of energy consumption trends before and after the implementation of design changes, providing insights into the effectiveness of the changes in managing energy consumption over time.
DOI: 10.15468/dl.zucbjs
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithops francisci (Dinter & Schwantes) N.E.Br."
 ]
}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043203-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/dj7tb89fcv.1
title: Cooperativity among homotypic clustered motifs maintains chromatin accessibility and enhancer activity

description: The original, unprocessed gel of this paper
DOI: 10.17632/9hcby4xpcz.1
title: Cortisol and Telomere Length in Chinese elders

description: This is the dataset for a manuscript titled "Social Network Cultivation, Diurnal Cortisol, and Telomere Length: Testing the Rejuvenation Hypothesis".
DOI: 10.17632/8hnjpzyj9x.1
title: The Potential of Tellurene-like nanosheets as a Solution-processed Room Temperature Thermoelectric Material

description: Original data.
DOI: 10.15468/dl.cyrsqx
title: Occurrence Download

description: A dataset containing 751 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Crabbea acaulis N.E.Br., Crabbea cirsioides (Nees) Nees, Crabbea nana (Nees) Nees, Crabbea velutina S.Moore)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 751 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043204-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6qg6xr
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptosiphonium aruense (S.Moore) Bremek. & Nann.-Bremek."
 ]
}

 The dataset includes 22 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043205-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pj63gk
title: Occurrence Download

description: A dataset containing 397 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lindsaea agatii (Brack.) Lehtonen & Tuomisto"
 ]
}

 The dataset includes 397 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043208-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bb5ntg
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Bell Museum plants, Olga Lakela Herbarium, University of Minnesota Duluth, University of Northern Colorado Herbarium, North Carolina State University Vascular Plant Herbarium, Campbell University Herbarium, R. L. McGregor Herbarium Vascular Plants Collection, University of Manitoba Herbarium (WIN) - Vascular Plant Collection, The New York Botanical Garden Herbarium (NY))",
 "GadmGid is USA.24_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lonicera tatarica L."
 ]
}

 The dataset includes 72 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043207-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hvsnpb
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lilium ledebourii (Baker) Boiss."
 ]
}

 The dataset includes 28 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043210-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kjc7y8
title: Occurrence Download

description: A dataset listing the 53 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-78.93562 2.02206,-79.12727 1.5402,-77.87516 0.30722,-76.89599 0.00997,-76.13272 0.14082,-75.14741 -0.43671,-74.67159 -0.64426,-74.17002 -1.34211,-73.93013 -1.45115,-73.51578 -2.01815,-73.14505 -2.67239,-71.85839 -2.54154,-71.46585 -2.51973,-70.92066 -2.4325,-70.37547 -2.78143,-70.63716 -3.23939,-70.85524 -3.87181,-70.4627 -4.02447,-69.85208 -4.43882,-69.17604 -1.34211,-69.39412 -0.4698,-69.93931 -0.09907,-69.96112 0.27166,-69.634 0.44613,-69.30688 0.33709,-68.93615 0.59878,-69.30689 1.62374,-68.08565 1.53651,-68.2165 2.08171,-67.49656 2.94805,-67.20037 3.26069,-67.26619 3.60624,-67.57883 4.29734,-67.69401 4.65934,-67.66111 5.13652,-67.31556 5.72889,-67.26619 6.15671,-67.43074 6.48581,-68.63193 6.32126,-69.06122 6.47547,-69.45509 6.33623,-69.57482 6.77026,-70.44288 7.26415,-71.20617 7.15938,-71.9096 7.21925,-72.16403 7.69818,-72.50826 9.0302,-72.86746 9.70369,-72.62799 10.55678,-72.01436 11.20034,-71.3259 11.60444,-70.89187 12.14323,-71.4157 12.63713,-72.45444 12.33043,-72.61302 11.94867,-73.46612 11.51464,-74.55867 11.30511,-75.36686 11.17041,-75.89069 9.65879,-76.53425 9.09007,-77.05808 8.64107,-77.53701 8.7159,-77.82137 8.28187,-77.8977 7.8818,-78.23585 7.31822,-77.76244 6.687,-77.58209 5.87544,-77.5811 5.50608,-77.48384 5.36019,-77.43521 4.81311,-77.47776 4.48486,-77.62346 4.1743,-77.44129 3.82836,-77.27108 3.69463,-77.68274 3.17625,-77.85808 2.88656,-78.23924 3.19912,-78.91559 2.02957,-78.93562 2.02206))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aneuraceae"
 ]
}

 The dataset's 53 records were derived from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043182-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.shn2b5
title: Occurrence Download

description: A dataset containing 34256 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hemidactylus turcicus (Linnaeus, 1758)"
 ]
}

 The dataset includes 34256 records from 250 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043206-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6q6ugq
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithops fulviceps (N.E.Br.) N.E.Br."
 ]
}

 The dataset includes 28 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043209-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h52rbk
title: Occurrence Download

description: A dataset containing 3544 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (South America, North America)",
 "TaxonKey is Glycine max (L.) Merr."
 ]
}

 The dataset includes 3544 records from 143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043211-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/8ddb405a5bdd8677fab72f3c5b2795b7
title: Sawgrass Above and Below Ground Total Phosphorus from the Shark River Slough, Everglades National Park (FCE LTER), Florida, USA, September 2002 - ongoing

description: Once a year during the dry season (Dec-May) three live sawgrass plants are collected from each site. These plants are divided into their live above and live below ground parts. Then both the above and below ground parts are analyzed for total nitrogen (TN), total carbon (TC), and total phosphorus (TP). The TP data are included in this data package. For Shark River Slough sawgrass TN and TC data, please see package knb-lter-fce.1070 in the FCE LTER website's data catalog or in the EDI repository.
DOI: 10.15468/dl.5tdzg8
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptosiphonium forbesii (S.Moore) Bremek. & Nann.-Bremek."
 ]
}

 The dataset includes 17 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043214-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8uu75u
title: Occurrence Download

description: A dataset containing 1296 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lilium leichtlinii Hook.f."
 ]
}

 The dataset includes 1296 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043216-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/39h6sfhh5z.1
title: Delaunay polytopes of Niemeier lattices

description: The Delaunay polytopes of the Leech lattice is an information that has been used for a great many purposes.
Here we enumerate the Delaunay polytopes for 14 Niemeier lattices out of 23. That allows us to compute the Covering radius of those lattices.
More information can be available on:
Adel Alahmadi, Michel Deza, Mathieu Dutour Sikirić, Patrick Solé, Covering aspects of the Niemeier lattices, European Journal of Combinatorics 80 (2019) 102--106
DOI: 10.25625/suamur/n0di2s
title: RF_MAPPING_firingRates.txt

description: :unav
DOI: 10.25625/suamur/hxsbfg
title: 1_readme_v1.txt

description: :unav
DOI: 10.15468/dl.fnw553
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Chromolaena odorata (L.) R.M.King & H.Rob.",
 "Year 1000-2024"
 ]
}

 The dataset includes 97 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043213-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25625/suamur/etjes4
title: OFFSET_translational.txt

description: :unav
DOI: 10.25625/suamur/tg9fjn
title: RF_MAPPING_recordingLocation.txt

description: :unav
DOI: 10.25625/suamur/ro7fov
title: OFFSET_penetrationDepth_correlation.txt

description: :unav
DOI: 10.15468/dl.8harse
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lindsaea apoensis Copel."
 ]
}

 The dataset includes 88 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043215-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q2ddzf
title: Occurrence Download

description: A dataset containing 713 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Cuscuta chinensis Lam.",
 "Year 1000-2024"
 ]
}

 The dataset includes 713 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043212-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25625/suamur
title: suppl_files

description: These files represent the data that were used to create figures for the publication "Using camera-guided electrode microdrive navigation for precise 3D targeting of macaque brain sites" by Max Arwed Crayen, Igor Kagan, Moein Esghaei, Dirk Hoehl, Uwe Thomas, Robert Prueckl, Stefan Schaffelhofer, and Stefan Treue. Published in PLOS ONE in 2024.
DOI: 10.25625/suamur/zkknvt
title: OFFSET_angle.txt

description: :unav