cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18298852
title: Drivers of ecosystem services and their management implications in the Yellow River Delta High-Efficiency Eco-Economic Zone: A case study integrating causal inference and machine learning

description: This dataset contains attribute and spatial data on ecosystem services and their influencing factors in the Yellow River Delta High-Efficiency Eco-Economic Zone. The data are derived from the integration and analysis of multiple publicly available datasets and have undergone standardized processing. The temporal coverage spans the years 2000, 2005, 2010, 2015, 2020, and 2023, aiming to quantify the spatial distribution patterns of key ecosystem services and identify the primary natural and anthropogenic factors driving their dynamics.

The dataset consists of three core components: an Excel file containing ecosystem service assessment results, an Excel file containing quantification results of influencing factors, and a Shapefile capturing the spatial characteristics of ecosystem services in the study area.
DOI: 10.5281/zenodo.18299955
title: Praxelis Cass. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:53
DOI: 10.5281/zenodo.18299956
title: Praxelis Cass. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:53
DOI: 10.13140/rg.2.2.33514.99525
title: Stanford University's Top 2% Scientists list: (my profile for 6 years)
DOI: 10.6084/m9.figshare.23284661
title: Phylogenetic trees

description:  Phylogenetic trees constructed based on Bayesian and maximum likelihood analyses.
DOI: 10.6084/m9.figshare.23284661.v1
title: Phylogenetic trees

description:  Phylogenetic trees constructed based on Bayesian and maximum likelihood analyses.
DOI: 10.5281/zenodo.18299961
title: Dataset of "Dataset for Thermally Stable and Compressible Allyl Cellulose–Polyaniline Aerogels with Electromechanical Responsiveness"

description: The development of sustainable, flexible, and electrically conductive functional materials is essential for next-generation electronics, including wearable sensors, soft robotics, and implantable devices. Herein, we report lightweight and compressible aerogels based on allyl cellulose (AC) integrated with dually doped polyaniline (PANI) fabricated through a facile, low-cost, and environmentally benign approach. AC was synthesized via controlled etherification of cellulose, affording tunable degrees of substitution and solubility. Subsequent chemical crosslinking produced macroporous cellulose hydrogels (CHs) with high swelling capacity (~90 %), and good mechanical integrity, which were further reinforced with polyethylene glycol (PEG) to enhance elasticity and flexibility. In situ oxidative polymerization of aniline the CHs followed by drying yielded CH@PANI aerogels with uniform conductive coatings. Dual doping of PANI with hydrohloric acid (HCl) and poly(2-acrylamido-2-methyl-1-propanesulfonic acid) enabled control over PANI morphology and significantly improved electrical conductivity and mechanical compliance. Structural and morphological analyses confirmed effective allylation, crosslinking, and homogeneous PANI deposition while preserving aerogel porosity. Increasing the PANI loading (CH@PANI-1:20) reduced the electrical impedance from >10 k? to ~1 k? and enabled compressive strains of up to ~90 %. Differential scanning calorimetry demonstrated broad thermal stability from ?70 to 100 °C suitable for varied environments, while thermogravimetric analysis revealed enhanced thermal stability and char formation (~30 % versus ~7 % for pristine CH aerogels). Electromechanical testing under applied pressure showed strain-dependent impedance governed by both bulk and interfacial electrical resistances, with PEG incorporation influencing network rearrangement and conductive pathway formation. Altogether, these CH@PANI aerogels provide a sustainable, mechanically resilient, and thermally stable platform for pressure-sensitive and wearable electronic applications.
DOI: 10.5281/zenodo.18299962
title: Dataset of "Dataset for Thermally Stable and Compressible Allyl Cellulose–Polyaniline Aerogels with Electromechanical Responsiveness"

description: The development of sustainable, flexible, and electrically conductive functional materials is essential for next-generation electronics, including wearable sensors, soft robotics, and implantable devices. Herein, we report lightweight and compressible aerogels based on allyl cellulose (AC) integrated with dually doped polyaniline (PANI) fabricated through a facile, low-cost, and environmentally benign approach. AC was synthesized via controlled etherification of cellulose, affording tunable degrees of substitution and solubility. Subsequent chemical crosslinking produced macroporous cellulose hydrogels (CHs) with high swelling capacity (~90 %), and good mechanical integrity, which were further reinforced with polyethylene glycol (PEG) to enhance elasticity and flexibility. In situ oxidative polymerization of aniline the CHs followed by drying yielded CH@PANI aerogels with uniform conductive coatings. Dual doping of PANI with hydrohloric acid (HCl) and poly(2-acrylamido-2-methyl-1-propanesulfonic acid) enabled control over PANI morphology and significantly improved electrical conductivity and mechanical compliance. Structural and morphological analyses confirmed effective allylation, crosslinking, and homogeneous PANI deposition while preserving aerogel porosity. Increasing the PANI loading (CH@PANI-1:20) reduced the electrical impedance from >10 k? to ~1 k? and enabled compressive strains of up to ~90 %. Differential scanning calorimetry demonstrated broad thermal stability from ?70 to 100 °C suitable for varied environments, while thermogravimetric analysis revealed enhanced thermal stability and char formation (~30 % versus ~7 % for pristine CH aerogels). Electromechanical testing under applied pressure showed strain-dependent impedance governed by both bulk and interfacial electrical resistances, with PEG incorporation influencing network rearrangement and conductive pathway formation. Altogether, these CH@PANI aerogels provide a sustainable, mechanically resilient, and thermally stable platform for pressure-sensitive and wearable electronic applications.
DOI: 10.5281/zenodo.17140626
title: D4.9 Stakeholder mapping synthesis

description: Stakeholder groups identified across 19 freshwater restoration projects in Europe.
DOI: 10.5281/zenodo.17140625
title: D4.9 Stakeholder mapping synthesis

description: Stakeholder groups identified across 19 freshwater restoration projects in Europe.
DOI: 10.15493/obs.monitor.79343770
title: Mokala National Park Automatic Weather Station - SAEON Terrestrial Observations Monitor

description: This dataset contains raw, unprocessed data collected continuously by a South African Environmental Observation Network (SAEON) weather station at the Mokala National Park monitoring site. The dataset is updated daily, with new values constantly ingested, when the sites are online. As a result, users can access near-real-time data captured at the site. The dataset covers a variety of environmental and meteorological parameters. Note that the data is presented as-is, without quality control, and is considered “Level Zero” data. Users should be aware that data gaps, outliers and/or other inconsistencies are expected due to routine maintenance, equipment downtime, or network connectivity issues.
DOI: 10.15493/obs.monitor.10762468
title: Namahadi Pass Automatic Weather Station - SAEON Terrestrial Observations Monitor

description: This dataset contains raw, unprocessed data collected continuously by a South African Environmental Observation Network (SAEON) weather station at the Namahadi Pass monitoring site. The dataset is updated daily, with new values constantly ingested, when the sites are online. As a result, users can access near-real-time data captured at the site. The dataset covers a variety of environmental and meteorological parameters. Note that the data is presented as-is, without quality control, and is considered “Level Zero” data. Users should be aware that data gaps, outliers and/or other inconsistencies are expected due to routine maintenance, equipment downtime, or network connectivity issues.
DOI: 10.15493/obs.monitor.63690198
title: Haenertsburg Automatic Weather Station - SAEON Terrestrial Observations Monitor

description: This dataset contains raw, unprocessed data collected continuously by a South African Environmental Observation Network (SAEON) weather station at Haenertsburg near the edge of the Woodbush Granite Grassland. The dataset is updated daily, with new values constantly ingested, when the sites are online. As a result, users can access near-real-time data captured at the site. The dataset covers a variety of meteorological parameters. Note that the data is presented as-is, without quality control, and is considered “Level Zero” data. Users should be aware that data gaps, outliers and/or other inconsistencies are expected due to routine maintenance, equipment downtime, or network connectivity issues.
DOI: 10.15493/obs.monitor.72779560
title: Cathedral Peak Research Centre Automatic Weather Station - SAEON Terrestrial Observations Monitor

description: This dataset contains raw, unprocessed data collected continuously by a South African Environmental Observation Network (SAEON) weather station at the Cathedral Peak Research Centre monitoring site. The dataset is updated daily, with new values constantly ingested, when the sites are online. As a result, users can access near-real-time data captured at the site. The dataset covers a variety of environmental and meteorological parameters. Note that the data is presented as-is, without quality control, and is considered “Level Zero” data. Users should be aware that data gaps, outliers and/or other inconsistencies are expected due to routine maintenance, equipment downtime, or network connectivity issues.
DOI: 10.15493/obs.monitor.15152420
title: Spioenkop Savanna Eddy Covariance - SAEON Terrestrial Observations Monitor

description: This dataset contains raw, unprocessed data collected continuously by a South African Environmental Observation Network (SAEON) flux tower at the Spioenkop Nature Reserve savanna monitoring site. The dataset is updated daily, with new values constantly ingested, when the sites are online. As a result, users can access near-real-time data captured at the site. The dataset covers a variety of environmental and meteorological parameters. Note that the data is presented as-is, without quality control, and is considered “Level Zero” data. Users should be aware that data gaps, outliers and/or other inconsistencies are expected due to routine maintenance, equipment downtime, or network connectivity issues.
DOI: 10.15493/obs.monitor.90686782
title: Benfontein Savanna Eddy Covariance - SAEON Terrestrial Observations Monitor

description: This dataset contains raw, unprocessed data collected continuously by a South African Environmental Observation Network (SAEON) flux tower at the Benfontein Nature Reserve savanna monitoring site. The dataset is updated daily, with new values constantly ingested, when the sites are online. As a result, users can access near-real-time data captured at the site. The dataset covers a variety of environmental and meteorological parameters. Note that the data is presented as-is, without quality control, and is considered “Level Zero” data. Users should be aware that data gaps, outliers and/or other inconsistencies are expected due to routine maintenance, equipment downtime, or network connectivity issues.
DOI: 10.15493/obs.monitor.39744624
title: Ezibomvini Automatic Weather Station - SAEON Terrestrial Observations Monitor

description: This dataset contains raw, unprocessed data collected continuously by a South African Environmental Observation Network (SAEON) weather station at the Ezibomvini Experimental Farm monitoring site. The dataset is updated daily, with new values constantly ingested, when the sites are online. As a result, users can access near-real-time data captured at the site. The dataset covers a variety of environmental and meteorological parameters. Note that the data is presented as-is, without quality control, and is considered “Level Zero” data. Users should be aware that data gaps, outliers and/or other inconsistencies are expected due to routine maintenance, equipment downtime, or network connectivity issues.
DOI: 10.15493/obs.monitor.23081135
title: Umhlabuyalingana Grassland Eddy Covariance - SAEON Terrestrial Observations Monitor

description: This dataset contains raw, unprocessed data collected continuously by a South African Environmental Observation Network (SAEON) flux tower at the Umhlabuyalingana grassland monitoring site. The dataset is updated daily, with new values constantly ingested, when the sites are online. As a result, users can access near-real-time data captured at the site. The dataset covers a variety of environmental and meteorological parameters. Note that the data is presented as-is, without quality control, and is considered “Level Zero” data. Users should be aware that data gaps, outliers and/or other inconsistencies are expected due to routine maintenance, equipment downtime, or network connectivity issues.
DOI: 10.15493/obs.monitor.41183728
title: Vasi Science Centre Automatic Weather Station - SAEON Terrestrial Observations Monitor

description: This dataset contains raw, unprocessed data collected continuously by a South African Environmental Observation Network (SAEON) weather station in the Vasi Pan area of northern Maputaland. The dataset is updated daily, with new values constantly ingested, when the sites are online. As a result, users can access near-real-time data captured at the site. The dataset covers a variety of environmental and meteorological parameters. Note that the data is presented as-is, without quality control, and is considered “Level Zero” data. Users should be aware that data gaps, outliers and/or other inconsistencies are expected due to routine maintenance, equipment downtime, or network connectivity issues.
DOI: 10.15493/obs.monitor.91822244
title: Wits Rural Facility Automatic Weather Station - SAEON Terrestrial Observations Monitor

description: This dataset contains raw, unprocessed data collected continuously by a South African Environmental Observation Network (SAEON) weather station at the Wits Rural Facility monitoring site. The dataset is updated daily, with new values constantly ingested, when the sites are online. As a result, users can access near-real-time data captured at the site. The dataset covers a variety of environmental and meteorological parameters. Note that the data is presented as-is, without quality control, and is considered “Level Zero” data. Users should be aware that data gaps, outliers and/or other inconsistencies are expected due to routine maintenance, equipment downtime, or network connectivity issues.
DOI: 10.15493/obs.monitor.45062043
title: Spioenkop Automatic Weather Station - SAEON Terrestrial Observations Monitor

description: This dataset contains raw, unprocessed data collected continuously by a South African Environmental Observation Network (SAEON) weather station at the Spioenkop Nature Reserve monitoring site. The dataset is updated daily, with new values constantly ingested, when the sites are online. As a result, users can access near-real-time data captured at the site. The dataset covers a variety of environmental and meteorological parameters. Note that the data is presented as-is, without quality control, and is considered “Level Zero” data. Users should be aware that data gaps, outliers and/or other inconsistencies are expected due to routine maintenance, equipment downtime, or network connectivity issues.
DOI: 10.15493/obs.monitor.33802912
title: Cathedral Peak Vulture's Retreat High Altitude Automatic Weather Station - SAEON Terrestrial Observations Monitor

description: This dataset contains raw, unprocessed data collected continuously by a South African Environmental Observation Network (SAEON) weather station at the Cathedral Peak Vulture's Retreat High Altitude monitoring site. The dataset is updated daily, with new values constantly ingested, when the sites are online. As a result, users can access near-real-time data captured at the site. The dataset covers a variety of environmental and meteorological parameters. Note that the data is presented as-is, without quality control, and is considered “Level Zero” data. Users should be aware that data gaps, outliers and/or other inconsistencies are expected due to routine maintenance, equipment downtime, or network connectivity issues.
DOI: 10.15493/obs.monitor.36326358
title: Cathedral Peak Mike's Pass Automatic Weather Station - SAEON Terrestrial Observations Monitor

description: This dataset contains raw, unprocessed data collected continuously by a South African Environmental Observation Network (SAEON) weather station at the Cathedral Peak Mike's Pass monitoring site. The dataset is updated daily, with new values constantly ingested, when the sites are online. As a result, users can access near-real-time data captured at the site. The dataset covers a variety of environmental and meteorological parameters. Note that the data is presented as-is, without quality control, and is considered “Level Zero” data. Users should be aware that data gaps, outliers and/or other inconsistencies are expected due to routine maintenance, equipment downtime, or network connectivity issues.
DOI: 10.15468/dl.6wuax5
title: Occurrence Download

description: A dataset containing 426 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Aquilegia pyrenaica cazorlensis, Polycarpon polycarpoides herniarioides, Moehringia intricata tejedensis, Maytenus senegalensis europaeus)"
 ]
}

 The dataset includes 426 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020394-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15493/obs.monitor.88212042
title: Benfontein Karoo Eddy Covariance - SAEON Terrestrial Observations Monitor

description: This dataset contains raw, unprocessed data collected continuously by a South African Environmental Observation Network (SAEON) flux tower at the Benfontein Nature Reserve karoo monitoring site. The dataset is updated daily, with new values constantly ingested, when the sites are online. As a result, users can access near-real-time data captured at the site. The dataset covers a variety of environmental and meteorological parameters. Note that the data is presented as-is, without quality control, and is considered “Level Zero” data. Users should be aware that data gaps, outliers and/or other inconsistencies are expected due to routine maintenance, equipment downtime, or network connectivity issues.
DOI: 10.15493/obs.monitor.72155980
title: Mabasa Automatic Weather Station - SAEON Terrestrial Observations Monitor

description: This dataset contains raw, unprocessed data collected continuously by a South African Environmental Observation Network (SAEON) weather station at the Mabasa Traditional Authority monitoring site. The dataset is updated daily, with new values constantly ingested, when the sites are online. As a result, users can access near-real-time data captured at the site. The dataset covers a variety of environmental and meteorological parameters. Note that the data is presented as-is, without quality control, and is considered “Level Zero” data. Users should be aware that data gaps, outliers and/or other inconsistencies are expected due to routine maintenance, equipment downtime, or network connectivity issues.
DOI: 10.15493/obs.monitor.85163588
title: South African Wildlife College Automatic Weather Station - SAEON Terrestrial Observations Monitor

description: This dataset contains raw, unprocessed data collected continuously by a South African Environmental Observation Network (SAEON) weather station at Haenertsburg near the edge of the Woodbush Granite Grassland. The dataset is updated daily, with new values constantly ingested, when the sites are online. As a result, users can access near-real-time data captured at the site. The dataset covers a variety of meteorological parameters. Note that the data is presented as-is, without quality control, and is considered “Level Zero” data. Users should be aware that data gaps, outliers and/or other inconsistencies are expected due to routine maintenance, equipment downtime, or network connectivity issues.
DOI: 10.15493/obs.monitor.17556428
title: Bambanani Automatic Weather Station - SAEON Terrestrial Observations Monitor

description: This dataset contains raw, unprocessed data collected continuously by a South African Environmental Observation Network (SAEON) weather station at the Bambanani Primary School monitoring site. The dataset is updated daily, with new values constantly ingested, when the sites are online. As a result, users can access near-real-time data captured at the site. The dataset covers a variety of environmental and meteorological parameters. Note that the data is presented as-is, without quality control, and is considered “Level Zero” data. Users should be aware that data gaps, outliers and/or other inconsistencies are expected due to routine maintenance, equipment downtime, or network connectivity issues.
DOI: 10.15493/obs.monitor.94390502
title: Besemfontein Automatic Weather Station - SAEON Terrestrial Observations Monitor

description: This dataset contains raw, unprocessed data collected continuously by a South African Environmental Observation Network (SAEON) weather station at the Besemfontein monitoring site in the Swartberg Nature Reserve. The dataset is updated daily, with new values constantly ingested, when the sites are online. As a result, users can access near-real-time data captured at the site. The dataset covers a variety of environmental and meteorological parameters. Note that the data is presented as-is, without quality control, and is considered “Level Zero” data. Users should be aware that data gaps, outliers and/or other inconsistencies are expected due to routine maintenance, equipment downtime, or network connectivity issues.
DOI: 10.15493/obs.monitor.67986839
title: Jonkershoek Fynbos Eddy Covariance - SAEON Terrestrial Observations Monitor

description: This dataset contains raw, unprocessed data collected continuously by a SAEON weather station in the Jonkershoek Experimental Catchment. The dataset is updated daily, with new values constantly ingested, when the sites are online. As a result, users can access near-real-time data captured at the site. The dataset covers a variety of environmental and meteorological parameters. Note that the data is presented as-is, without quality control, and is considered “Level Zero” data. Users should be aware that data gaps, outliers and/or other inconsistencies are expected due to routine maintenance, equipment downtime, or network connectivity issues.
DOI: 10.15493/obs.monitor.97891920
title: Engelsmanskloof Automatic Weather Station - SAEON Terrestrial Observations Monitor

description: This dataset contains raw, unprocessed data collected continuously by a South African Environmental Observation Network (SAEON) weather station at the Engelsmanskloof monitoring site in the Cederberg. The dataset is updated daily, with new values constantly ingested, when the sites are online. As a result, users can access near-real-time data captured at the site. The dataset covers a variety of environmental and meteorological parameters. Note that the data is presented as-is, without quality control, and is considered “Level Zero” data. Users should be aware that data gaps, outliers and/or other inconsistencies are expected due to routine maintenance, equipment downtime, or network connectivity issues.