cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/d4bv52fgmd.1
title: Datasets for Carbon Pricing and Energy Markets in Sustainable Production (2003-2025)

description: Dataset Title: Energy, Carbon, and Financial Market Data for Cleaner Production Research (2003-2025)

Description: This dataset supports the reproducibility of experiments in the paper titled Carbon Price Forecasting for Sustainable Industrial Transitions: A Multi-Source Heterogeneous Data Framework Based on ALA-LSTM-Transformer and Dual Interpretability. It includes time-series data on weather, energy prices, carbon emissions allowances, futures, and stock indices related to sustainable energy and carbon trading in Shanghai and EU markets.

Files:
- shanghai_history_daily.csv: Daily weather data for Shanghai (date, weather, high, low).
- 电力价格宏观EDB.xlsx: Shanghai Power closing prices (2003-2025, daily, source: Shanghai Stock Exchange via Miaoxiang Choice).
- 期货结算价(连续)_欧盟排放配额(EUA).xlsx: EU EUA futures settlement prices and volumes (2005-2025, daily, source: Wind).
- 碳价格与配额.xlsx: Shanghai carbon prices and allowances (2013-2025, daily).
- 焦煤期货历史数据.csv: Coking coal futures data (2013-2025, daily: close, open, high, low, volume, change%).
- 燃料油期货历史数据 (2).csv: Fuel oil futures data (2010-2025, daily: close, open, high, low, volume, change%).
- 天然气期货历史数据 (2).csv: Natural gas futures data (2012-2025, daily: close, open, high, low, volume, change%).
- 沪深300指数历史数据.csv: CSI 300 Index data (2010-2025, daily: close, open, high, low, volume, change%).

Sources: Public financial databases (Wind, Choice, stock exchanges). No sensitive or proprietary data.
Usage: Load with pandas (Python) or Excel for analysis. Units and formats as in files.

Carbon Price and Carbon Quota: Derived from the National Carbon Market Information Network and SEEE (Shanghai Environment and Energy Exchange).
Electricity Price: Sourced from Wind financial database.
Coking Coal, Natural Gas, and Fuel Oil: Obtained from Choice Financial Terminal.
CSI 300 and EUA Price: Compiled from Investing.com historical data.
DOI: 10.5281/zenodo.18748892
title: Voices from the Limb Lengthening Community: A Mixed-Methods Digital Epidemiology Study of Patient Experiences, Sentiment Patterns, and Thematic Discourse in Cosmetic Stature Lengthening
DOI: 10.5281/zenodo.18748891
title: Voices from the Limb Lengthening Community: A Mixed-Methods Digital Epidemiology Study of Patient Experiences, Sentiment Patterns, and Thematic Discourse in Cosmetic Stature Lengthening
DOI: 10.17632/d3y42pvx5x
title: Trophic_Transfer_of_Microplastics_in_Social_Hymenoptera

description: Relevance, background, gap of knowledge, reduced methods, findigs and interpretation:
Anthropogenic pollutants are one facet of global change contributing to insect decline in terrestrial ecosystems. Microplastic (MP), a major particulate pollutant, is already ubiquitously present in terrestrial ecosystems and expected to further accumulate. However, studies on effects of MP on the ecologically important social insects are still scarce. In social insects, negative effects of MP pollution could not only manifest on the individual but also on the colony level due to cooperative brood care. We tested whether MP particles taken up by workers of the Japanese carpenter ant (Camponotus japonicus) and the buff-tailed bumblebee (Bombus terrestris) are transferred to larval stages during brood care. We exposed ant and bumblebee workers to MP-contaminated food and subsequently analysed the digestive systems of workers, larvae, and pupae for the presence of MP particles. Both, ant and bumblebee workers, had ingested MP particles with food. However, while we found numerous MP particles in the digestive system of bumblebee larvae, we found no MP particles in the digestive system of ant larvae. This is likely due to the infrabuccal pocket (IBP), a filtering device for particulate matter only present in the ants, that effectively prevents the transfer of particulate pollutants such as MP within colonies during cooperative brood care. In contrast, in bumblebees the unobstructed transfer of MP from workers to larvae may entail negative effects on larvae or carry-over effects during development. Thus, negative colony-level effects of pollutants on social Hymenoptera may be exacerbated in those species that lack an IBP.

The data shows the detection of MP on the body surface or in the body (e.g. digestive system) of the different developmental stages (larva, pupa, worker) of ants (Camponotus japonicus) or bumblebees (Bombus terrestris). The data shows a clear assignment of specimens to the treatment groups [fed with MP, fed with control solutions] and explains their origin (source colonies/microcolonies).

Data Gathering:
The data was gathered after experimental exposition of the organisms to the respective treatments via dissection or tissue clearing. The MP particles were fluorescence labelled and, therefore, were detected with fluorescence microscopy.

Data and code use:
The data can be used like any other presece/absence data. All important information on the data per coloumn are given in the headers. All steps of analysis are expained in the R-script.
DOI: 10.17632/d3y42pvx5x.5
title: Trophic_Transfer_of_Microplastics_in_Social_Hymenoptera

description: Relevance, background, gap of knowledge, reduced methods, findigs and interpretation:
Anthropogenic pollutants are one facet of global change contributing to insect decline in terrestrial ecosystems. Microplastic (MP), a major particulate pollutant, is already ubiquitously present in terrestrial ecosystems and expected to further accumulate. However, studies on effects of MP on the ecologically important social insects are still scarce. In social insects, negative effects of MP pollution could not only manifest on the individual but also on the colony level due to cooperative brood care. We tested whether MP particles taken up by workers of the Japanese carpenter ant (Camponotus japonicus) and the buff-tailed bumblebee (Bombus terrestris) are transferred to larval stages during brood care. We exposed ant and bumblebee workers to MP-contaminated food and subsequently analysed the digestive systems of workers, larvae, and pupae for the presence of MP particles. Both, ant and bumblebee workers, had ingested MP particles with food. However, while we found numerous MP particles in the digestive system of bumblebee larvae, we found no MP particles in the digestive system of ant larvae. This is likely due to the infrabuccal pocket (IBP), a filtering device for particulate matter only present in the ants, that effectively prevents the transfer of particulate pollutants such as MP within colonies during cooperative brood care. In contrast, in bumblebees the unobstructed transfer of MP from workers to larvae may entail negative effects on larvae or carry-over effects during development. Thus, negative colony-level effects of pollutants on social Hymenoptera may be exacerbated in those species that lack an IBP.

The data shows the detection of MP on the body surface or in the body (e.g. digestive system) of the different developmental stages (larva, pupa, worker) of ants (Camponotus japonicus) or bumblebees (Bombus terrestris). The data shows a clear assignment of specimens to the treatment groups [fed with MP, fed with control solutions] and explains their origin (source colonies/microcolonies).

Data Gathering:
The data was gathered after experimental exposition of the organisms to the respective treatments via dissection or tissue clearing. The MP particles were fluorescence labelled and, therefore, were detected with fluorescence microscopy.

Data and code use:
The data can be used like any other presece/absence data. All important information on the data per coloumn are given in the headers. All steps of analysis are expained in the R-script.
DOI: 10.5281/zenodo.18747187
title: Data for : Evaluation of WRF Microphysics Schemes for Simulating Lightning and Rainfall over the Complex Terrain of the Western Himalayan Region

description: Description

This dataset contains lightning and rainfall simulation outputs from the Weather Research and Forecasting (WRF) model for a severe pre-monsoon thunderstorm event that occurred on 23 May 2023 over the western Himalayan region (WHR). The simulations were performed using four microphysics (MP) schemes: WSM6, Thompson, Morrison, and WDM5. Observational datasets from the Indian Lightning Location Network (ILLN) and the Global Precipitation Measurement (GPM) mission are included for evaluation.

All model outputs correspond to a 3 km horizontal resolution domain centered over Uttarakhand.



File Descriptions

1. Lightning_flash_grids_raw.xlsx

This file contains raw lightning flash rate (FR) data at 3 km grid resolution from:





ILLN observations




WRF simulations using WSM6




WRF simulations using Thompson




WRF simulations using Morrison




WRF simulations using WDM5



Flash rates are provided without normalization and represent grid-point level lightning activity across the model domain.



2. Time_series_lightning_rainfall.xlsx

This file contains domain-integrated lightning and rainfall time series for the study region.

Lightning time series were generated by spatially aggregating flash counts across all 3 km × 3 km grid cells within the selected target domain. For each time step, flash counts from all grid cells were summed to obtain total lightning activity over the study area.

Rainfall time series include:





GPM satellite-derived rainfall




WRF-simulated rainfall using WSM6




Thompson




Morrison




WDM5



Rainfall values were spatially averaged over all 0.1° × 0.1° grid cells within the defined domain.

These data enable analysis of temporal variability and intercomparison between simulated and observed lightning and rainfall.



3. hydromets_vertical_profiles.xlsx

This file contains vertical profiles of hydrometeor mixing ratios from WRF simulations for the four MP schemes (WSM6, Thompson, Morrison, WDM5). The variables include:





qc (cloud water mixing ratio)




qr (rainwater mixing ratio)




qi (ice mixing ratio)




qs (snow mixing ratio)



Profiles are provided as a function of model height levels and represent domain-averaged vertical distributions during the event period.



4. Spatial_rainfall_data_12x12km_20230523.xlsx

This file contains spatial rainfall data resampled to 12 km × 12 km resolution for performance evaluation. The dataset includes:





GPM rainfall observations




WRF-simulated rainfall from WSM6




Thompson




Morrison




WDM5



These data support spatial comparison between modeled and observed rainfall fields for 23 May 2023.
DOI: 10.5281/zenodo.18747188
title: Data for : Evaluation of WRF Microphysics Schemes for Simulating Lightning and Rainfall over the Complex Terrain of the Western Himalayan Region

description: Description

This dataset contains lightning and rainfall simulation outputs from the Weather Research and Forecasting (WRF) model for a severe pre-monsoon thunderstorm event that occurred on 23 May 2023 over the western Himalayan region (WHR). The simulations were performed using four microphysics (MP) schemes: WSM6, Thompson, Morrison, and WDM5. Observational datasets from the Indian Lightning Location Network (ILLN) and the Global Precipitation Measurement (GPM) mission are included for evaluation.

All model outputs correspond to a 3 km horizontal resolution domain centered over Uttarakhand.



File Descriptions

1. Lightning_flash_grids_raw.xlsx

This file contains raw lightning flash rate (FR) data at 3 km grid resolution from:





ILLN observations




WRF simulations using WSM6




WRF simulations using Thompson




WRF simulations using Morrison




WRF simulations using WDM5



Flash rates are provided without normalization and represent grid-point level lightning activity across the model domain.



2. Time_series_lightning_rainfall.xlsx

This file contains domain-integrated lightning and rainfall time series for the study region.

Lightning time series were generated by spatially aggregating flash counts across all 3 km × 3 km grid cells within the selected target domain. For each time step, flash counts from all grid cells were summed to obtain total lightning activity over the study area.

Rainfall time series include:





GPM satellite-derived rainfall




WRF-simulated rainfall using WSM6




Thompson




Morrison




WDM5



Rainfall values were spatially averaged over all 0.1° × 0.1° grid cells within the defined domain.

These data enable analysis of temporal variability and intercomparison between simulated and observed lightning and rainfall.



3. hydromets_vertical_profiles.xlsx

This file contains vertical profiles of hydrometeor mixing ratios from WRF simulations for the four MP schemes (WSM6, Thompson, Morrison, WDM5). The variables include:





qc (cloud water mixing ratio)




qr (rainwater mixing ratio)




qi (ice mixing ratio)




qs (snow mixing ratio)



Profiles are provided as a function of model height levels and represent domain-averaged vertical distributions during the event period.



4. Spatial_rainfall_data_12x12km_20230523.xlsx

This file contains spatial rainfall data resampled to 12 km × 12 km resolution for performance evaluation. The dataset includes:





GPM rainfall observations




WRF-simulated rainfall from WSM6




Thompson




Morrison




WDM5



These data support spatial comparison between modeled and observed rainfall fields for 23 May 2023.
DOI: 10.34810/data2899
title: Source code for surrogate-based methods for the evaluation of seizure forecasting and seizure cycles.

description: This source code package allows you to run the analysis underlying the article "Are seizure forecasts and cycles better than chance? What chance?" by Ralph G. Andrzejak, Martin Brešar, Mark P. Richardson, Pedro F. Viana, and Richard Rosch. As of 22/02/26, the article is in press in the journal Epilepsia: doi 10.1002/epi.70158
description: As of 22/02/26, the article is in press in the journal Epilepsia.
DOI: 10.15468/dl.kqfmxe
title: Occurrence Download

description: A dataset containing 7041 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepus townsendii"
 ]
}

 The dataset includes 7041 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004345-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3yay6h
title: Occurrence Download

description: A dataset containing 209 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Mexico, Cuba, Haiti, Dominican Republic, Jamaica, Bahamas, Antigua and Barbuda, Dominica, Grenada, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, Trinidad and Tobago, Argentina, Bolivia (Plurinational State of), Brazil, Chile, Colombia, Ecuador, Guyana, Paraguay, Peru, Suriname, Uruguay, Venezuela (Bolivarian Republic of), Costa Rica, Panama, Nicaragua, El Salvador, Honduras, Guatemala, Belize)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nymphaea odorata"
 ]
}

 The dataset includes 209 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004347-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/sf6rctrp5f
title: Dynamic Environment Debt Macro Policies

description: Data and codes
DOI: 10.17632/sf6rctrp5f.1
title: Dynamic Environment Debt Macro Policies

description: Data and codes
DOI: 10.17632/6wst658tdv
title: Oral health awareness, self-care practices, and associated factors among individuals with diabetes

description: Diabetes is strongly associated with a wide range of oral health conditions. The relationship between diabetes and oral health is bidirectional: poor glycemic control can exacerbate oral diseases, while existing oral health conditions can further impair glycemic management. Awareness about oral health and appropriate oral self-care practices are essential for improving the overall well-being of individuals with diabetes. Adequate awareness of oral health and the adoption of appropriate oral self-care practices are critical to enhancing the overall well-being of individuals living with diabetes. Despite regional variations, there is a universal need for enhanced education and integrated care approaches. Tailored healthcare strategies can enhance awareness and self-care behaviors to prevent oral health issues, improve diabetes management, and underscore the link between systemic and oral health. This study aimed to assess level of awareness regarding oral health, evaluate reported self-care practices, and identify factors associated with these practices among individuals living with diabetes in Western Amhara region. Data are presented in Stata DTA File and Microsoft Excel 97-2003 Worksheet formats.
DOI: 10.17632/6wst658tdv.1
title: Oral health awareness, self-care practices, and associated factors among individuals with diabetes

description: Diabetes is strongly associated with a wide range of oral health conditions. The relationship between diabetes and oral health is bidirectional: poor glycemic control can exacerbate oral diseases, while existing oral health conditions can further impair glycemic management. Awareness about oral health and appropriate oral self-care practices are essential for improving the overall well-being of individuals with diabetes. Adequate awareness of oral health and the adoption of appropriate oral self-care practices are critical to enhancing the overall well-being of individuals living with diabetes. Despite regional variations, there is a universal need for enhanced education and integrated care approaches. Tailored healthcare strategies can enhance awareness and self-care behaviors to prevent oral health issues, improve diabetes management, and underscore the link between systemic and oral health. This study aimed to assess level of awareness regarding oral health, evaluate reported self-care practices, and identify factors associated with these practices among individuals living with diabetes in Western Amhara region. Data are presented in Stata DTA File and Microsoft Excel 97-2003 Worksheet formats.
DOI: 10.17632/w38224zk6x
title: Multivariate Dataset For Base Oil Forecasting

description: This Multivariate dataset is composed of 386 variables for base oil forecasting and it was developed using financial market data from Yahoo Finance website. The variables are composed of global stock indexes, currency, metals, oil derivates, and companies from the following sectors: refineries, energy, oil, gas, lubricants, oil derivates (gasoline, diesel, etc.), pipelines, oil tankers, exploration and production (E&P), gas station, EPCM (wich operates in the oil & gas sector).

Many variables are traded in other currencies besides US Dollar. Therefore, it was necessary to capture the relationship of all these currencies to the US Dollar. Each currency ticker reflects this exchange relationship. This was necessary to standardize all prices in US Dollar.

The metals tickets are related to Oil as they can be used as a financial hedge against Oil volatility. So, these tickers are variables related to Oil.

US Treasury tickers were used as they are also used as financial hedges by portfolio managers to counterbalance the Oil and markets volatility.

The period considered is between 2010-01-01 and 2025-10-31.

The spreadsheet contains two tabs. The first is the Multivariate dataset and the second is a set of tickers. There were no captured because the prices captured had less than 80% of the period covered or because the ticker was not found.

The values captured were the Adjusted Close Prices that represent a stock's closing price modified to account for all applicable corporate actions, including dividend distributions, stock splits, and rights offeringsadjusted for stock splits.
DOI: 10.15468/dl.jvzqq4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Syacium papillosum)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147880-230224095556074/datasets/export for details.
DOI: 10.15468/dl.q5a97q
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sedum conzattii Rose"
 ]
}

 The dataset includes 32 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122373-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kcbzak
title: Occurrence Download

description: A dataset containing 1267 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ipomoea incarnata (Vahl) Choisy"
 ]
}

 The dataset includes 1267 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061210-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fsz9y6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Ophiodon elongatus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147889-230224095556074/datasets/export for details.
DOI: 10.15468/dl.p9jcnf
title: Occurrence Download

description: A dataset containing 393 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Rwanda, Kenya, Ghana, Tanzania, United Republic of, Uganda, Ethiopia, Somalia, Djibouti, South Sudan)",
 "TaxonKey is Orobanchaceae",
 "Year 2010-2023"
 ]
}

 The dataset includes 393 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0213077-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.94r6qf
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pternopetalum subalpinum Hand.-Mazz."
 ]
}

 The dataset includes 28 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0097362-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s52z3d
title: Occurrence Download

description: A dataset containing 21678 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Corchorus L."
 ]
}

 The dataset includes 21678 records from 412 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0213087-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z9e7rr
title: Occurrence Download

description: A dataset containing 2618 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paronychia canadensis (L.) Alph.Wood"
 ]
}

 The dataset includes 2618 records from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061216-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.