cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.20350/digitalcsic/17895
title: Exploring composites of alternative flour sources and marine biomass residues for sustainable degradable food packaging films [DATASET]

description: This study proposes an innovative strategy to valorise agricultural and marine by-products by developing sustainable films based on different pigmented popcorn and sorghum flours, rich in bioactive polyphenols and starch, combined with holocellulosic residue from Gelidium corneum (marine biomass), a by-product of industrial agar extraction, as a possible alternative to conventional plastics. Films were produced by melt-compounding and compression-moulding with a 40:60 w/w ratio of popcorn or sorghum flour to algae residue and were compared to control films without marine biomass. The effect of incorporating and storing marine biomass was investigated. Results showed that the addition led to a more heterogeneous film morphology and modified the optical properties of the marine biomass films, decreasing luminosity, whiteness index, and internal transmittance, while enhancing yellow and green hues due to pigment interactions, with significant changes occurring during storage. In general, incorporating marine biomass increased tensile strength and stiffness, reduced elongation at break, and, upon storage, further enhanced rigidity through starch retrogradation. Additionally, the presence of biomass modulated water vapor permeability, water uptake, and hydrophobicity. These findings demonstrate the potential of combining pigmented popcorn and sorghum flours with Gelidium corneum residue as sustainable composite films, representing a promising strategy for environmentally friendly packaging.
DOI: 10.15468/dl.hry4ky
title: Occurrence Download

description: A dataset containing 569 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhytidosporum procumbens",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 569 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008776-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m62kgp
title: Occurrence Download

description: A dataset containing 171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melanophylla crenata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 171 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008778-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31143079
title: Supplemental Materials of "A decision support system for rapid deployment of emergency healthcare facilities for infectious disease using augmented large language models"

description: Supplemental Materials of "A decision support system for rapid deployment of emergency healthcare facilities for infectious disease using augmented large language models"
DOI: 10.6084/m9.figshare.31143079.v1
title: Supplemental Materials of "A decision support system for rapid deployment of emergency healthcare facilities for infectious disease using augmented large language models"

description: Supplemental Materials of "A decision support system for rapid deployment of emergency healthcare facilities for infectious disease using augmented large language models"
DOI: 10.15468/dl.hcf2mp
title: Occurrence Download

description: A dataset containing 72598 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantaginaceae",
 "Continent is one of (Africa, South America)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 72598 records from 668 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008764-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tkv5g9
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Torricellia tiliifolia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 23 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008779-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18347884
title: Dataset for: The Role Of Transparency and Anti-Greenwashing in Shaping Consumer Sustainability Logic and Perceptions of ESG-Oriented Products
DOI: 10.5281/zenodo.18347883
title: Dataset for: The Role Of Transparency and Anti-Greenwashing in Shaping Consumer Sustainability Logic and Perceptions of ESG-Oriented Products
DOI: 10.15468/dl.bqpv6p
title: Occurrence Download

description: A dataset containing 344 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alseuosmia banksii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 344 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008781-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18357538
title: Resilient futures: intellectual and thematic pathways in financial resilience research and their relevance to well-being
DOI: 10.15468/dl.a3ugdd
title: Occurrence Download

description: A dataset containing 186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crispiloba disperma",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 186 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008782-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.95wvf4
title: Occurrence Download

description: A dataset containing 303320 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Micropterus"
 ]
}

 The dataset includes 303320 records from 447 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008768-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.skmfpz
title: Occurrence Download

description: A dataset containing 1938 records in GBIF matching the query:
SELECT
 '241' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 12.166598047573723
 AND decimalLatitude &lt;= 16.25916876999866
 AND decimalLongitude &gt;= 40.47467230480766
 AND decimalLongitude &lt;= 46.04614184362121
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 1938 records were derived from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008777-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zg2gzm
title: Occurrence Download

description: A dataset containing 721 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Calochortus lyallii"
 ]
}

 The dataset includes 721 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008783-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t5e9jh
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platyspermation crassifolium",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 27 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008784-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e5g4vx
title: Occurrence Download

description: A dataset containing 130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Wittsteinia vacciniacea",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 130 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008786-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18357261
title: Storm-time Transport of Magnetic Energy and Mass Through the Magnetosphere During Solar Cycles 24--25 — Data & scripts (SC24–SC25 2D superposed epoch analysis)

description: This repository contains the data and Python scripts required to reproduce the superposed epoch analysis (SEA) results reported in the manuscript:

“Storm-time Transport of Magnetic Energy and Mass Through the Magnetosphere During Solar Cycles 24–25”.

The package provides reproducible workflows for Solar Cycle 24 (SC24) and Solar Cycle 25 (SC25), including:1) OMNI solar wind / geomagnetic parameters SEA (epoch 0 = Dst minimum; ±48 h),2) 2-D TEC (ZTEC) SEA in Magnetic Latitude–Magnetic Local Time (MagLat–MLT), where ZTEC is computed using a quiet baseline normalized per (month, year) and per MagLat–MLT bin,3) 2-D magnetic energy proxy SEA in MagLat–MLT using ΔB² = B² − ⟨B²⟩quiet (quiet mean baseline; not Z-score).

CONTENTS- SEA_scripts_all/  - sc24/01_omni_sea_sc24.py : OMNI SEA for SC24  - sc24/02_ztec_sea_sc24.py : ZTEC SEA (MagLat–MLT) for SC24  - sc24/03_b2_sea_sc24.py   : ΔB² SEA (MagLat–MLT) for SC24  - sc25/01_omni_sea_sc25.py : OMNI SEA for SC25  - sc25/02_ztec_sea_sc25.py : ZTEC SEA (MagLat–MLT) for SC25  - sc25/03_b2_sea_sc25.py   : ΔB² SEA (MagLat–MLT) for SC25

- Data/  - 24th_Solar_Cycle/ (TEC archives, B² archives, OMNI CSV files)  - 25th_Solar_Cycle/ (TEC archives, B² archives, OMNI CSV files)

- Events/  - Storm lists used in the study (23 events per solar cycle; defined by Dst_min ≤ −100 nT)

- requirements.txt  - Python dependencies required to reproduce results

QUICK START1. Download and unzip this archive.2. Install dependencies:   pip install -r requirements.txt3. Set base directory:   Linux/Mac:        export SEA_BASE_DIR="/path/to/SEA_repro_folder"   Windows PowerShell: $env:SEA_BASE_DIR="C:\path\to\SEA_repro_folder"4. Run (examples):   python SEA_scripts_all/sc25/01_omni_sea_sc25.py   python SEA_scripts_all/sc25/02_ztec_sea_sc25.py   python SEA_scripts_all/sc25/03_b2_sea_sc25.py

Outputs (when enabled in scripts) are written to:- Outputs/sc24/- Outputs/sc25/

LICENSINGZenodo record license: CC BY 4.0.Code may be reused under the MIT License; data are released under CC BY 4.0. Please cite this Zenodo record if you use any part of this package.
DOI: 10.5281/zenodo.18357260
title: Storm-time Transport of Magnetic Energy and Mass Through the Magnetosphere During Solar Cycles 24--25 — Data & scripts (SC24–SC25 2D superposed epoch analysis)

description: This repository contains the data and Python scripts required to reproduce the superposed epoch analysis (SEA) results reported in the manuscript:

“Storm-time Transport of Magnetic Energy and Mass Through the Magnetosphere During Solar Cycles 24–25”.

The package provides reproducible workflows for Solar Cycle 24 (SC24) and Solar Cycle 25 (SC25), including:1) OMNI solar wind / geomagnetic parameters SEA (epoch 0 = Dst minimum; ±48 h),2) 2-D TEC (ZTEC) SEA in Magnetic Latitude–Magnetic Local Time (MagLat–MLT), where ZTEC is computed using a quiet baseline normalized per (month, year) and per MagLat–MLT bin,3) 2-D magnetic energy proxy SEA in MagLat–MLT using ΔB² = B² − ⟨B²⟩quiet (quiet mean baseline; not Z-score).

CONTENTS- SEA_scripts_all/  - sc24/01_omni_sea_sc24.py : OMNI SEA for SC24  - sc24/02_ztec_sea_sc24.py : ZTEC SEA (MagLat–MLT) for SC24  - sc24/03_b2_sea_sc24.py   : ΔB² SEA (MagLat–MLT) for SC24  - sc25/01_omni_sea_sc25.py : OMNI SEA for SC25  - sc25/02_ztec_sea_sc25.py : ZTEC SEA (MagLat–MLT) for SC25  - sc25/03_b2_sea_sc25.py   : ΔB² SEA (MagLat–MLT) for SC25

- Data/  - 24th_Solar_Cycle/ (TEC archives, B² archives, OMNI CSV files)  - 25th_Solar_Cycle/ (TEC archives, B² archives, OMNI CSV files)

- Events/  - Storm lists used in the study (23 events per solar cycle; defined by Dst_min ≤ −100 nT)

- requirements.txt  - Python dependencies required to reproduce results

QUICK START1. Download and unzip this archive.2. Install dependencies:   pip install -r requirements.txt3. Set base directory:   Linux/Mac:        export SEA_BASE_DIR="/path/to/SEA_repro_folder"   Windows PowerShell: $env:SEA_BASE_DIR="C:\path\to\SEA_repro_folder"4. Run (examples):   python SEA_scripts_all/sc25/01_omni_sea_sc25.py   python SEA_scripts_all/sc25/02_ztec_sea_sc25.py   python SEA_scripts_all/sc25/03_b2_sea_sc25.py

Outputs (when enabled in scripts) are written to:- Outputs/sc24/- Outputs/sc25/

LICENSINGZenodo record license: CC BY 4.0.Code may be reused under the MIT License; data are released under CC BY 4.0. Please cite this Zenodo record if you use any part of this package.
DOI: 10.25430/researchdata.cab.unipd.it.00001741
title: Circular Economy Based Food Products a Sustainable Solution for Food Waste and Mitigating the Environmental Issues in Consumer’s Perspective

description: This is a descriptive literature review paper, it was published in International journal of biological and life sciences.
DOI: 10.5281/zenodo.17242773
title: Millennial summer temperature dataset over the Yangtze River Basin

description: This study develops a summer surface air temperature (SAT) dataset for the past millennium (850‒2005) over the Yangtze River Basin with a spatial resolution of a 1°×1°  by combining the millennium Global Climate Model (GCM) simulations from the Coupled Model intercomparison Project Phases 5 and 6 (CMIP5 and CMIP6) and four proxy datasets.
description: Key Features:

·       Temporal Resolution: Summer Season per year, capturing the evolution of climate variability over the past millennium.

·       Coupled Data Assimilation: Integrates bias-corrected ensemble GCMs, and four paleoclimate (reanalysis and reconstruction) datasets through an entropy-based grid weighted average approach for dynamically consistent reconstructions over the Yangtze River Basin (YRB), China.

·       Millennium-Scale Coverage: 850–2005 CE (Past Millennium) and 2006–2023 (CRU TS), providing 1100+ years of regional climate variability.

·       High Fidelity: Validated against the longest available observational period and two independent paleo reanalysis data, demonstrating robust performance across the reconstruction period.

Dataset Information:

·       Temporal coverage: 850–2023 CE

·       Temporal resolution: Summer season

·       Spatial resolution: 1° × 1° YRB grid

Structure:

·       Variable Name: tas 

·       Data Format: nc files

·       File Name: Study area_season_variable name_spatial resolution_temporal coverage_updated version.nc (YRB_summer_tas_1-degree_850-2023_v1.nc)

Note: Recommended to use updated version "YRB_summer_tas_1-degree_850-2023_v1.nc"
DOI: 10.15468/dl.33az4s
title: Occurrence Download

description: A dataset containing 194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argophyllum nullumense",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 194 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008787-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6x2zxm
title: Occurrence Download

description: A dataset containing 2872904308 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Theromyzon, Haemadipsa, Haemopis, Alma, Eiseniella, Animalia, Dero, Tubificoides, Barbronia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2872904308 records from 55926 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008631-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qpmcnu
title: Occurrence Download

description: A dataset containing 1370 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Living Specimen)",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Juglans mandshurica Maxim."
 ]
}

 The dataset includes 1370 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013871-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15355780
title: Neo-Babylonian Lexical Networks - the dataset

description: This repository contains five semantic networks and the data used to create them. The networks show which words typically co-occur in Babylonian legal and administrative texts that were primarily written in the sixth and fifth centuries BCE, although a number of Hellenistic texts are included as well. The interactive networks are available at http://urn.fi/urn:nbn:fi:lb-2025052001. The networks have been created from textual data that was automatically lemmatized and POS-tagged at the Centre of Excellence in Ancient Near Eastern Empires (University of Helsinki), funded by the Research Council of Finland (decision numbers 298647, 330727, and 352747).
DOI: 10.6084/m9.figshare.29497967
title: The role of phosphodiesterase in the regulation of <i>Streptococcus pneumoniae </i>drug sensitivity and the therapeutic effect of its inhibitors in mice

description: The emergence of drug-resistant <i>S</i><i>treptococcus</i><i> pneumoniae</i><i> </i>has become a global health challenge, particularly as a major causative agent of community-acquired pneumonia. Cyclic dimeric adenosine monophosphate (c-di-AMP), a pivotal bacterial second messenger, is known to regulate key physiological processes such as drug resistance in multiple streptococci species. However, its precise role in <i>S. pneumoniae</i> drug resistance remains unclear. This study found that <i>pde1</i> and <i>pde2</i>, encoding phosphodiesterases (PDEs) of c-di-AMP, regulated morphology, growth and drug sensitivity of <i>S. pneumoniae</i>. Mutation of <i>pde2</i> significantly increased drug sensitivity to several antibiotics, despite only minor changes in c-di-AMP levels and inconsistent expression shifts in resistance-related genes. Further, a clinical isolate<i> </i>with<i> </i><i>pde2</i><i> </i>mutant showed<i> </i>a higher c-di-AMP level and was more sensitive to several antibiotics, and the mutant PDE2 from <i>S. pneumoniae</i> clinical strain showed reduced phosphodiesterase activity. Moreover, sildenafil, an FDA-approved PDE inhibitor, increased drug sensitivity of clinical resistant <i>S. pneumoniae</i> <i>in vitro</i>, and effectively suppressed bacterial growth and the inflammatory response in mice infected with resistant <i>S. pneumoniae</i>. infected mice. These results suggested that PDE2 could be used as a drug target against resistant <i>S. pneumoniae</i>.
DOI: 10.6084/m9.figshare.29497967.v1
title: The role of phosphodiesterase in the regulation of <i>Streptococcus pneumoniae </i>drug sensitivity and the therapeutic effect of its inhibitors in mice

description: The emergence of drug-resistant <i>S</i><i>treptococcus</i><i> pneumoniae</i><i> </i>has become a global health challenge, particularly as a major causative agent of community-acquired pneumonia. Cyclic dimeric adenosine monophosphate (c-di-AMP), a pivotal bacterial second messenger, is known to regulate key physiological processes such as drug resistance in multiple streptococci species. However, its precise role in <i>S. pneumoniae</i> drug resistance remains unclear. This study found that <i>pde1</i> and <i>pde2</i>, encoding phosphodiesterases (PDEs) of c-di-AMP, regulated morphology, growth and drug sensitivity of <i>S. pneumoniae</i>. Mutation of <i>pde2</i> significantly increased drug sensitivity to several antibiotics, despite only minor changes in c-di-AMP levels and inconsistent expression shifts in resistance-related genes. Further, a clinical isolate<i> </i>with<i> </i><i>pde2</i><i> </i>mutant showed<i> </i>a higher c-di-AMP level and was more sensitive to several antibiotics, and the mutant PDE2 from <i>S. pneumoniae</i> clinical strain showed reduced phosphodiesterase activity. Moreover, sildenafil, an FDA-approved PDE inhibitor, increased drug sensitivity of clinical resistant <i>S. pneumoniae</i> <i>in vitro</i>, and effectively suppressed bacterial growth and the inflammatory response in mice infected with resistant <i>S. pneumoniae</i>. infected mice. These results suggested that PDE2 could be used as a drug target against resistant <i>S. pneumoniae</i>.
DOI: 10.6084/m9.figshare.29108885
title: FGD and IDI guide.docx

description: This document was used to conduct Focus Group Discussions (FGD) and In-Depth Interviews among the research participants to assess their views and perspectives on healthcare services provided to a Particularly Vulnerable Tribal Group (PVTG) in Southern India and to identify the barriers and facilitators contributing to the utilization of healthcare services by them.