cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/0hm-sqy-zpz
title: Fragaria vesca L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hn-0dv-6cp
title: Alchemilla filicaulis Buser

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hn-c4x-q4k
title: Agrostis gigantea Roth

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hn-d4y-q5k
title: Juncus articulatus L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hn-dzq-jql
title: Sedum annuum L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hn-jvk-tc3
title: Cotoneaster integerrimus Medik.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hn-wx2-sad
title: Turritis glabra L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.6084/m9.figshare.30921072
title: Identification of Effective Integral Experiments for Nuclear Data–Induced Uncertainty Reduction Through Sparse Modeling

description: Proposed here is a novel method involving integral experiments effective in reducing nuclear data–induced uncertainty. The method is formulated by the extended bias factor method and the L1 norm–based sparse modeling to address computational difficulty in combinatorial optimization. The pseudo-design parameters only sensitive to specific microscopic reactions are defined and can be used to identify integral experiments used for the validation of nuclear data. The method is applied to two pseudoparameters: neptunium-237 capture and bismuth-209 inelastic scattering cross sections, while considering integral experimental data used in ADJ2017 together with sample worth measurements made at the Kyoto University Critical Assembly. The results indicate that the proposed method successfully identifies a small subset of effective integral experiments.
DOI: 10.6084/m9.figshare.30921072.v1
title: Identification of Effective Integral Experiments for Nuclear Data–Induced Uncertainty Reduction Through Sparse Modeling

description: Proposed here is a novel method involving integral experiments effective in reducing nuclear data–induced uncertainty. The method is formulated by the extended bias factor method and the L1 norm–based sparse modeling to address computational difficulty in combinatorial optimization. The pseudo-design parameters only sensitive to specific microscopic reactions are defined and can be used to identify integral experiments used for the validation of nuclear data. The method is applied to two pseudoparameters: neptunium-237 capture and bismuth-209 inelastic scattering cross sections, while considering integral experimental data used in ADJ2017 together with sample worth measurements made at the Kyoto University Critical Assembly. The results indicate that the proposed method successfully identifies a small subset of effective integral experiments.
DOI: 10.3535/0hm-bk2-lpv
title: Drosera rotundifolia L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hp-0j7-1rp
title: Alchemilla glabra Neygenf.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hp-2e7-r29
title: Alchemilla monticola Opiz

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hp-32b-fec
title: Rumex aquaticus L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hp-7w2-vex
title: Avenella flexuosa (L.) Drejer

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.17882/110919
title: Relaying-associated microbial decay in oysters and mussels from subtropical Brazil: raw E. coli and Vibrio parahaemolyticus data.

description: This dataset contains raw microbiological data generated from controlled relaying experiments conducted with oysters (Magallana gigas) and mussels (Perna perna) on the subtropical coast of Brazil. The experiments were designed to quantify microbial decay dynamics in bivalve molluscs transferred from contaminated growing areas to approved clean relaying sites.
Microbial indicators of sanitary quality were measured in mollusc meat over time, focusing on Escherichia coli and Vibrio parahaemolyticus, two key microorganisms used in shellfish safety assessment and regulatory monitoring. Samples were collected at defined time intervals during the relaying period, allowing the evaluation of temporal decay patterns under subtropical environmental conditions.
The dataset includes measurements of microbial concentrations expressed as Most Probable Number (MPN) per 100 g of mollusc tissue, along with associated metadata describing species, sampling time, experimental conditions, and replicate structure. These data support analyses of microbial clearance rates, comparison between oyster and mussel responses, and evaluation of relaying efficiency relative to current regulatory time requirements.
The data are provided in raw form to enable reanalysis, modeling, meta-analysis, and comparison with relaying studies from other geographic regions. Potential applications include quantitative microbial risk assessment, shellfish sanitation management, policy development for relaying duration, and studies on the influence of environmental drivers on microbial decay in bivalves.
DOI: 10.3535/0hp-dj6-9ch
title: Polygonum raii Bab.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hp-dq7-d2s
title: Carex flava L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hp-eey-c98
title: Rumex obtusifolius subsp. obtusifolius

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hp-g8c-6s7
title: Cardamine amara L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hp-m6b-t4y
title: Carex diandra Schrank

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hp-m9b-8fy
title: Psammophiliella muralis (L.) Ikonn.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hp-yfa-fyb
title: Lepidium densiflorum Schrad.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hq-5ee-352
title: Carex dioica L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hq-ahg-4tz
title: Blitum virgatum L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hp-9px-7bw
title: Carex digitata L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hq-d78-tnz
title: Plantae

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hp-c8j-bl9
title: Oxybasis rubra (L.) S. Fuentes, Uotila & Borsch

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hq-62w-97a
title: Deschampsia cespitosa x subsp. bottnica × subsp. cespitosa

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hq-g23-bmp
title: Molinia caerulea (L.) Moench

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hq-mqz-r7e
title: Rumex acetosella subsp. acetosella

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hq-n35-38g
title: Parnassia palustris L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hq-qwp-1ch
title: Chenopodium album var. missouriense (Aellen) Bassett & Crompton

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15468/dl.at5fa2
title: Occurrence Download

description: A dataset containing 86846 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Gambusia affinis"
 ]
}

 The dataset includes 86846 records from 230 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060690-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/0hq-x1l-y44
title: Deschampsia cespitosa subsp. bottnica

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hr-14n-2sd
title: Rumex aquaticus L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hr-73s-43n
title: Sorbus aucuparia subsp. aucuparia

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hr-78c-nzl
title: Achnatherum calamagrostis (L.) P.Beauv.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hr-ev2-jhc
title: Plantae

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hr-fbj-amm
title: Chenopodium L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hr-jgc-7g5
title: Carex diandra Schrank

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hr-xbd-0fy
title: Dryopteris expansa (C. Presl) Fraser-Jenk. & Jermy

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hr-xtr-tas
title: Juncus filiformis L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hr-yjt-s0a
title: Cystopteris fragilis (L.) Bernh.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hs-4ac-yxd
title: Saxifraga adscendens L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hs-5j9-qjv
title: Luzula spicata (L.) DC.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hr-qj8-164
title: Juncus bulbosus L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hs-j6w-nna
title: Rorippa × armoracioides (Tausch) Fuss

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hs-n9g-sy5
title: Carex elata subsp. omskiana (Meinsh.) Jalas

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hs-vja-4ps
title: Erodium cicutarium (L.) L'Hér.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hs-xyw-p8d
title: Lipandra polysperma (L.) S. Fuentes, Uotila & Borsch

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0hs-ycg-5df
title: Salix myrsinifolia subsp. borealis (Fr.) Hyl.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0ht-38p-gzh
title: Humulus lupulus L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0ht-4ay-1p5
title: Avenula pubescens (Huds.) Dumort.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0ht-51k-mx4
title: Cardamine bellidifolia L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0ht-hpn-4kz
title: Poa annua L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0ht-mpn-dh1
title: Salix myrsinites L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0ht-nbj-cpq
title: Rumex acetosella subsp. acetosella

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0ht-nvq-xz7
title: Sedum sexangulare L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.6084/m9.figshare.29821003
title: Evaluating eDNA metabarcoding for fish biodiversity assessment in Nigerian aquatic ecosystems: potential, limitations, and comparisons with traditional methods

description: Fishery resources in Nigeria are experiencing a rapid decline, underscoring the urgent need for effective biodiversity surveys and comprehensive species documentation to guide conservation and management efforts. However, traditional methods for fish surveys, such as gillnets and trawl surveys, are intrusive, time-intensive, and costly. Environmental DNA (eDNA) metabarcoding has emerged as a non-invasive method for surveying fish diversity, yet its application in Nigerian aquatic ecosystems remains limited. This study evaluated the potential and limitations of 12S rRNA-based eDNA metabarcoding to survey fish communities across three water bodies (Jebba Hydroelectric Power Dam, Asa River, and Lagos lagoon). We also compared fish community composition obtained from our eDNA samples with previously published inventories based on traditional sampling techniques. Our study revealed several advantages of using eDNA metabarcoding for fish biodiversity surveys in Nigeria, including the rapid and non-invasive identification of fish taxa, the detection of differences in community composition and biodiversity metrics, the identification of species overlooked by traditional methods, and the ability to detect both threatened and invasive species. However, we identified three major constraints that must be addressed for the successful integration of eDNA sampling techniques in Nigeria. First are the logistical challenges, including determining the optimal number of replicates, selecting the appropriate water volume per site, determining the required number of sampling sites per study area, and identifying the most suitable time within the season for sampling. Second is the lack of a comprehensive DNA reference database for accurate species identification. Third are the issues with primer and marker specificity. Until a comprehensive regional DNA reference library is developed, suitable molecular markers are optimized, and standardized field protocols for eDNA sampling are established, we recommend using eDNA metabarcoding as a complementary survey tool rather than a replacement for conventional fish survey methods in Nigeria.
DOI: 10.6084/m9.figshare.29821003.v1
title: Evaluating eDNA metabarcoding for fish biodiversity assessment in Nigerian aquatic ecosystems: potential, limitations, and comparisons with traditional methods

description: Fishery resources in Nigeria are experiencing a rapid decline, underscoring the urgent need for effective biodiversity surveys and comprehensive species documentation to guide conservation and management efforts. However, traditional methods for fish surveys, such as gillnets and trawl surveys, are intrusive, time-intensive, and costly. Environmental DNA (eDNA) metabarcoding has emerged as a non-invasive method for surveying fish diversity, yet its application in Nigerian aquatic ecosystems remains limited. This study evaluated the potential and limitations of 12S rRNA-based eDNA metabarcoding to survey fish communities across three water bodies (Jebba Hydroelectric Power Dam, Asa River, and Lagos lagoon). We also compared fish community composition obtained from our eDNA samples with previously published inventories based on traditional sampling techniques. Our study revealed several advantages of using eDNA metabarcoding for fish biodiversity surveys in Nigeria, including the rapid and non-invasive identification of fish taxa, the detection of differences in community composition and biodiversity metrics, the identification of species overlooked by traditional methods, and the ability to detect both threatened and invasive species. However, we identified three major constraints that must be addressed for the successful integration of eDNA sampling techniques in Nigeria. First are the logistical challenges, including determining the optimal number of replicates, selecting the appropriate water volume per site, determining the required number of sampling sites per study area, and identifying the most suitable time within the season for sampling. Second is the lack of a comprehensive DNA reference database for accurate species identification. Third are the issues with primer and marker specificity. Until a comprehensive regional DNA reference library is developed, suitable molecular markers are optimized, and standardized field protocols for eDNA sampling are established, we recommend using eDNA metabarcoding as a complementary survey tool rather than a replacement for conventional fish survey methods in Nigeria.
DOI: 10.6084/m9.figshare.30819965
title: Morphology and ecological studies of the Chlorophyta in relation with water quality parameters of the Dor River Abbottabad, Pakistan

description: The present study investigated the monthly dynamics of algal diversity in relation to the physicochemical parameters of the Dor River, a key freshwater tributary of the Indus Basin in Khyber Pakhtunkhwa, Pakistan. Water and algal samples were collected monthly for one year from two hydrological distinct stretches of the river, extending from Barengali to Dhamtor (freshwater zone) and from Domail to Tarbela Dam. Standard limnological protocols and taxonomic microscopy were employed to identify Chlorophyta species, quantify their community structure, and evaluate the environmental influences on the algal distribution. A total of 23 algal species belonging to 3 classes, 8 orders and 14 families were recorded, with Chlorophyceae being the most dominant group. Diversity indices revealed the highest species richness and Shannon diversity during autumn and late winter, while monsoon months exhibited reduced diversity associated with increased turbidity, dilution, and ionic fluctuations. The physicochemical variables, such as pH (7.1–7.87), conductivity (254–444 μS/cm), turbidity, and nutrient levels, displayed clear seasonal patterns, significantly shaping the algal abundance, frequency, and importance value index (IVI). Chlorophycean taxa, including <i>Scenedesmus bijuga</i>, <i>Ulothrix zonata</i> and <i>Oocystis borgei,</i> showed strong ecological plasticity and served as indicators of stable water quality. Overall, the Dor River maintained a healthy ecological status with strong resilience to seasonal variations, although monsoon-driven disturbances temporarily altered the algal community structure. This study highlights the value of integrating algal bioassessment with water quality monitoring as an effective tool for evaluating freshwater ecosystem health and guiding conservation strategies for the Dor River.
DOI: 10.6084/m9.figshare.30819965.v1
title: Morphology and ecological studies of the Chlorophyta in relation with water quality parameters of the Dor River Abbottabad, Pakistan

description: The present study investigated the monthly dynamics of algal diversity in relation to the physicochemical parameters of the Dor River, a key freshwater tributary of the Indus Basin in Khyber Pakhtunkhwa, Pakistan. Water and algal samples were collected monthly for one year from two hydrological distinct stretches of the river, extending from Barengali to Dhamtor (freshwater zone) and from Domail to Tarbela Dam. Standard limnological protocols and taxonomic microscopy were employed to identify Chlorophyta species, quantify their community structure, and evaluate the environmental influences on the algal distribution. A total of 23 algal species belonging to 3 classes, 8 orders and 14 families were recorded, with Chlorophyceae being the most dominant group. Diversity indices revealed the highest species richness and Shannon diversity during autumn and late winter, while monsoon months exhibited reduced diversity associated with increased turbidity, dilution, and ionic fluctuations. The physicochemical variables, such as pH (7.1–7.87), conductivity (254–444 μS/cm), turbidity, and nutrient levels, displayed clear seasonal patterns, significantly shaping the algal abundance, frequency, and importance value index (IVI). Chlorophycean taxa, including <i>Scenedesmus bijuga</i>, <i>Ulothrix zonata</i> and <i>Oocystis borgei,</i> showed strong ecological plasticity and served as indicators of stable water quality. Overall, the Dor River maintained a healthy ecological status with strong resilience to seasonal variations, although monsoon-driven disturbances temporarily altered the algal community structure. This study highlights the value of integrating algal bioassessment with water quality monitoring as an effective tool for evaluating freshwater ecosystem health and guiding conservation strategies for the Dor River.
DOI: 10.3535/0ht-wkw-lpf
title: Chelidonium majus L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0ht-znb-e01
title: Ribes spicatum subsp. spicatum

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0ht-9bx-3bd
title: Silene latifolia subsp. alba (Mill.) Greuter & Burdet

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.