cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.h3594w
title: Occurrence Download

description: A dataset containing 1942 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes albopictus (Skuse, 1894)",
 "Country is Indonesia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1942 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074305-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zquus4
title: Occurrence Download

description: A dataset containing 5792 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes albopictus (Skuse, 1894)",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5792 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074307-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jq7z38
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes albopictus (Skuse, 1894)",
 "Country is Malta",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074308-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nt8hjg
title: Occurrence Download

description: A dataset containing 366928 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Juncus biglumis L., Juncus castaneus Sm., Luzula multiflora (Ehrh.) Lej., Luzula sudetica (Willd.) Schult., Gnaphalium norvegicum Retz.)",
 "Geometry POLYGON ((-180 45.53015, 180 45.53015, 180 83.62313, -180 83.62313, -180 45.53015))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "CoordinateUncertaintyInMeters is less than or equal to 50000"
 ]
}

 The dataset includes 366928 records from 642 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074290-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vbdw88
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, Myanmar, China, Pakistan, Nepal, Bangladesh, Afghanistan, Bhutan)",
 "TaxonKey is Euthalia franciae Gray, 1846"
 ]
}

 The dataset includes 50 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074309-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15762640
title: Vegetation Greening in Chambal Badlands

description: Climate variability in recent decades has significantly influenced the eco-geomorphic dynamics of global drylands and loess landscapes, often exhibiting large-scale spatial heterogeneity. In this context, understanding the spatiotemporal patterns of vegetation greening in the semi-arid, erosion-prone Chambal Badlands of central India is essential for characterizing erosion processes and landscape stability. Here, we present the MODIS-derived Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI) time series (2000–2024), alongside InSAR-based deformation analyses (using SBAS and PS techniques), supplemented by sediment concentration data to quantify greening trends and assess the erosion dynamics of the region. Our results indicate a statistically significant increase in vegetation greening, particularly pronounced in the eastern region and corresponds with rising rainfall trends. InSAR analyses revealed no evidence of large-scale erosion; instead, positive deformation velocities were observed, suggesting surface stabilization. Localized sediment loss from agricultural lands and subsequent deposition along riverbanks may explain the weak positive trend in suspended sediment loads observed in recent years. These findings underscore the growing ecological resilience of the Chambal badlands and demonstrate the value of integrating optical and microwave remote sensing techniques for monitoring vegetation and erosion interactions in inaccessible, geomorphologically active regions
DOI: 10.15468/dl.ac29cx
title: Occurrence Download

description: A dataset containing 1226 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes albopictus (Skuse, 1894)",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1226 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074311-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c9vqxp
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes albopictus (Skuse, 1894)",
 "Country is Myanmar",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074312-250525065834625/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.29430506
title: GCASv2-RESP Dataset

description: We used the Global Carbon Assimilation System version 2 (GCASv2) to produce gridded carbon flux datasets based on satellite CO₂ observations (OCO-2 v11.1) and multiple prior sources. Two inversion experiments were conducted:Base: Uses BEPS biosphere flux, JMA ocean flux, GFED fire, and fossil fuel emissions (fixed); optimizes biosphere and ocean fluxes.wRESP: Adds human and livestock respiration (RESP) to fossil fuel emissions; other settings are the same as Base.The gridded results are stored in NetCDF format at 1° × 1° spatial resolution, covering:Base: Sept 2014 – Feb 2023 (used: 2015–2022)wRESP: Sept 2014 – Jan 2022 (used: 2015–2021)Each file contains monthly and annual fluxes (units: gC m⁻² s⁻¹) for biosphere, ocean, fossil fuel, and fire components, with both prior (<code>_org</code>) and posterior (<code>_opt</code>) versions.We also provide annual regional summaries for 20 predefined regions, including 11 TransCom regions, 5 top-emitting countries, and 4 global subdomains. Regional statistics are computed by vegetation type (forest, grass, crop, other) using Olson (1992)-based land cover masks.
DOI: 10.6084/m9.figshare.29430506.v1
title: GCASv2-RESP Dataset

description: We used the Global Carbon Assimilation System version 2 (GCASv2) to produce gridded carbon flux datasets based on satellite CO₂ observations (OCO-2 v11.1) and multiple prior sources. Two inversion experiments were conducted:Base: Uses BEPS biosphere flux, JMA ocean flux, GFED fire, and fossil fuel emissions (fixed); optimizes biosphere and ocean fluxes.wRESP: Adds human and livestock respiration (RESP) to fossil fuel emissions; other settings are the same as Base.The gridded results are stored in NetCDF format at 1° × 1° spatial resolution, covering:Base: Sept 2014 – Feb 2023 (used: 2015–2022)wRESP: Sept 2014 – Jan 2022 (used: 2015–2021)Each file contains monthly and annual fluxes (units: gC m⁻² s⁻¹) for biosphere, ocean, fossil fuel, and fire components, with both prior (<code>_org</code>) and posterior (<code>_opt</code>) versions.We also provide annual regional summaries for 20 predefined regions, including 11 TransCom regions, 5 top-emitting countries, and 4 global subdomains. Regional statistics are computed by vegetation type (forest, grass, crop, other) using Olson (1992)-based land cover masks.
DOI: 10.5281/zenodo.15762602
title: StructoPlast™: A Plastic-Based Revolution in Civil Structures

description: StructoPlast™: A Plastic-Based Revolution in Civil Structures is a visionary technical framework authored by Rahul Verma that introduces a groundbreaking approach to sustainable civil engineering. In a world struggling with excessive plastic waste and the carbon-intensive nature of cement and steel, this work proposes a radical shift — the complete replacement of traditional construction materials with engineered plastic-based structural systems.

Unlike recycled plastic bricks or fillers, StructoPlast™ redefines plastic as a primary load-bearing material, capable of forming beams, slabs, walls, and modular units through scientifically formulated composites. The system leverages thermoplastics, thermosets, fiber reinforcements, and geometry-driven design to achieve structural integrity without any curing time or steel reinforcement.

This open-access publication lays the foundational blueprint for post-concrete era construction, offering scalable, modular, reusable, and disaster-resilient alternatives for real-world applications — from rural smart homes to Mars-ready shelters.

Key highlights include:





Cement- and steel-free structural logic




Snap-fit modular panels with zero moisture sensitivity




Plastic waste upcycling for carbon-negative construction




Rural empowerment via mobile micro-factories




IP protection and future licensing potential



Intended for engineers, researchers, policymakers, and sustainability visionaries, this document serves as both a technical proposition and a policy-shifting manifesto for the future of global infrastructure.



“When concrete becomes history, plastic will speak the future of structures.” — Rahul Verma
DOI: 10.5281/zenodo.15762603
title: StructoPlast™: A Plastic-Based Revolution in Civil Structures

description: StructoPlast™: A Plastic-Based Revolution in Civil Structures is a visionary technical framework authored by Rahul Verma that introduces a groundbreaking approach to sustainable civil engineering. In a world struggling with excessive plastic waste and the carbon-intensive nature of cement and steel, this work proposes a radical shift — the complete replacement of traditional construction materials with engineered plastic-based structural systems.

Unlike recycled plastic bricks or fillers, StructoPlast™ redefines plastic as a primary load-bearing material, capable of forming beams, slabs, walls, and modular units through scientifically formulated composites. The system leverages thermoplastics, thermosets, fiber reinforcements, and geometry-driven design to achieve structural integrity without any curing time or steel reinforcement.

This open-access publication lays the foundational blueprint for post-concrete era construction, offering scalable, modular, reusable, and disaster-resilient alternatives for real-world applications — from rural smart homes to Mars-ready shelters.

Key highlights include:





Cement- and steel-free structural logic




Snap-fit modular panels with zero moisture sensitivity




Plastic waste upcycling for carbon-negative construction




Rural empowerment via mobile micro-factories




IP protection and future licensing potential



Intended for engineers, researchers, policymakers, and sustainability visionaries, this document serves as both a technical proposition and a policy-shifting manifesto for the future of global infrastructure.



“When concrete becomes history, plastic will speak the future of structures.” — Rahul Verma
DOI: 10.15468/dl.75vmvq
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes albopictus (Skuse, 1894)",
 "Country is Nicaragua",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074314-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qnhu8a
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, Pakistan, China, Bangladesh, Afghanistan, Bhutan, Myanmar, Nepal)",
 "TaxonKey is Euthalia franciae Gray, 1846"
 ]
}

 The dataset includes 50 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074316-250525065834625/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.29430524
title: <b>巨噬细胞迁移抑制因子</b><b>人畜共患</b><b>十二指肠贾第鞭毛虫</b><b>触发 TLR4-</b><b>MAPK/AKT/</b><b>NLRP3 通路</b><b>s</b><b>自</b><b>调节</b><b> pro-inflammatory cytokines production in mouse macrophages</b>

description: 十二指肠贾第鞭毛虫 （G. duodenalis） 是一种重要的人畜共患原生动物，对全球公共卫生具有重大的负面影响。十二指肠杆菌激活 TLR 和 NLRS 依赖性炎症，但哪种寄生虫成分激活这些免疫途径仍有待进一步探索。巨噬细胞迁移抑制因子 （MIF） 是一种多效性细胞因子，在炎症和细胞因子分泌中具有调节功能。然而，寄生虫衍生的 MIF 在调节 TLRs 和 NLRs 中的作用直到现在还不清楚。十二指肠格里弗菌 MIF （GdMIF） 与哺乳动物 MIF 具有密切的同源性。然而，GdMIF 的免疫调节机制仍然知之甚少。在这里，我们发现十二指肠杆菌可以分泌 GdMIF 蛋白，并证明重组 GdMIF （rGdMIF） 在小鼠腹膜巨噬细胞 （PMφs） 中是一种有效的免疫刺激分子。rGdMIF 刺激显着上调 TLR4 mRNA 表达并触发促炎细胞因子 （IL-6、IL-12 和 TNF-α） 的强烈分泌。从机制上讲，rGdMIF 激活了 MAPK （p38， ERK）、AKT 和 NF-κB 信号通路。关键是，TLR4 缺陷 （TLR4-/-） 显着减弱了 rGdMIF 诱导的 IL-6、IL-12 和 TNF-α 的分泌，并显着降低了 p38、ERK 和 AKT 的磷酸化。随后，用 p38 、 ERK 和 AKT 的特异性抑制剂预处理 PMφs 进一步抑制了 rGdMIF 诱导的促炎细胞因子分泌。此外，rGdMIF 还有效激活 NLRP3 炎性小体，NLRP3 表达增加、Caspase-1 切割 （p20）、成熟 IL-1β （p17） 产生、IL-1β 分泌、LDH 释放和细胞质 NLRP3 聚集证明了这一点。这种 NLRP3 激活在 NLRP3-/- 和 TLR4-/- PMφs 中被消除。这些发现表明，GdMIF 激活 TLR4 依赖性 MAPK 和 AKT 信号传导以调节 IL-6、IL-12 和 TNF-α 分泌，并驱动 TLR4 介导的 NLRP3 炎性小体激活以实现 IL-1β 成熟和释放。GdMIF 是 TLR4 识别的一种新型十二指肠根茎衍生的病原体相关分子模式。这项研究为十二指肠球菌-宿主先天免疫相互作用的分子机制提供了新的见解。<br>
DOI: 10.6084/m9.figshare.29430524.v1
title: <b>巨噬细胞迁移抑制因子</b><b>人畜共患</b><b>十二指肠贾第鞭毛虫</b><b>触发 TLR4-</b><b>MAPK/AKT/</b><b>NLRP3 通路</b><b>s</b><b>自</b><b>调节</b><b> pro-inflammatory cytokines production in mouse macrophages</b>

description: 十二指肠贾第鞭毛虫 （G. duodenalis） 是一种重要的人畜共患原生动物，对全球公共卫生具有重大的负面影响。十二指肠杆菌激活 TLR 和 NLRS 依赖性炎症，但哪种寄生虫成分激活这些免疫途径仍有待进一步探索。巨噬细胞迁移抑制因子 （MIF） 是一种多效性细胞因子，在炎症和细胞因子分泌中具有调节功能。然而，寄生虫衍生的 MIF 在调节 TLRs 和 NLRs 中的作用直到现在还不清楚。十二指肠格里弗菌 MIF （GdMIF） 与哺乳动物 MIF 具有密切的同源性。然而，GdMIF 的免疫调节机制仍然知之甚少。在这里，我们发现十二指肠杆菌可以分泌 GdMIF 蛋白，并证明重组 GdMIF （rGdMIF） 在小鼠腹膜巨噬细胞 （PMφs） 中是一种有效的免疫刺激分子。rGdMIF 刺激显着上调 TLR4 mRNA 表达并触发促炎细胞因子 （IL-6、IL-12 和 TNF-α） 的强烈分泌。从机制上讲，rGdMIF 激活了 MAPK （p38， ERK）、AKT 和 NF-κB 信号通路。关键是，TLR4 缺陷 （TLR4-/-） 显着减弱了 rGdMIF 诱导的 IL-6、IL-12 和 TNF-α 的分泌，并显着降低了 p38、ERK 和 AKT 的磷酸化。随后，用 p38 、 ERK 和 AKT 的特异性抑制剂预处理 PMφs 进一步抑制了 rGdMIF 诱导的促炎细胞因子分泌。此外，rGdMIF 还有效激活 NLRP3 炎性小体，NLRP3 表达增加、Caspase-1 切割 （p20）、成熟 IL-1β （p17） 产生、IL-1β 分泌、LDH 释放和细胞质 NLRP3 聚集证明了这一点。这种 NLRP3 激活在 NLRP3-/- 和 TLR4-/- PMφs 中被消除。这些发现表明，GdMIF 激活 TLR4 依赖性 MAPK 和 AKT 信号传导以调节 IL-6、IL-12 和 TNF-α 分泌，并驱动 TLR4 介导的 NLRP3 炎性小体激活以实现 IL-1β 成熟和释放。GdMIF 是 TLR4 识别的一种新型十二指肠根茎衍生的病原体相关分子模式。这项研究为十二指肠球菌-宿主先天免疫相互作用的分子机制提供了新的见解。<br>
DOI: 10.15468/dl.8rrnkw
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes albopictus (Skuse, 1894)",
 "Country is Panama",
 "HasCoordinate is true"
 ]
}

 The dataset includes 24 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074318-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cwy8t9
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, Pakistan, Myanmar, China, Bhutan, Afghanistan, Bangladesh, Nepal)",
 "TaxonKey is Euthalia duda Staudinger, 1886"
 ]
}

 The dataset includes 20 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074319-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15240562
title: "Accelerated discovery of stable, extra-large pores nanozeolites with micro-electron diffraction". Adsorption Information Files (AIFs) for NJU120-1 and NJU120-2 used in adsorption studies, along with CIF files for NJU120-1, NJU120-2, and hypothetical zeolite structures.

description: Adsorption Information Files (AIFs) for NJU120-1 and NJU120-2 used in adsorption studies, along with CIF files for NJU120-1, NJU120-2, and hypothetical zeolite structures.
DOI: 10.5281/zenodo.15240563
title: "Accelerated discovery of stable, extra-large pores nanozeolites with micro-electron diffraction". Adsorption Information Files (AIFs) for NJU120-1 and NJU120-2 used in adsorption studies, along with CIF files for NJU120-1, NJU120-2, and hypothetical zeolite structures.

description: Adsorption Information Files (AIFs) for NJU120-1 and NJU120-2 used in adsorption studies, along with CIF files for NJU120-1, NJU120-2, and hypothetical zeolite structures.
DOI: 10.15468/dl.2rscuh
title: Occurrence Download

description: A dataset containing 13429 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "StateProvince is one of (Florida, FLORIDA/GEORGIA)",
 "TaxonKey is Odocoileus virginianus (Zimmermann, 1780)"
 ]
}

 The dataset includes 13429 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011753-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yy89na
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Noblella pygmaea"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059077-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive8046.20241212.9.2
title: Plantactinospora siamensis (Thawai et al. 2010) Zhu et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0076077.10fu
title: SH0076077.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive8046.20251217.10
title: Plantactinospora siamensis (Thawai et al. 2010) Zhu et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0076078.10fu
title: SH0076078.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive8047.20250331.9.3
title: Plantactinospora endophytica Zhu et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive8047.20251217.10
title: Plantactinospora endophytica Zhu et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0076079.10fu
title: SH0076079.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive8048.20241212.9.2
title: Rugosimonospora acidiphila Monciardini et al. 2009

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive8048.20251217.10
title: Rugosimonospora acidiphila Monciardini et al. 2009

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.