cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0012212.10fu
title: SH0012212.10FU

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: 10.3535/aed-2hf-g24
title: Epilobium hornemannii Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/lxj-5p3-422
title: Malva alcea L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0012213.10fu
title: SH0012213.10FU

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: 10.15156/bio/sh0012214.10fu
title: SH0012214.10FU

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: 10.3535/hr7-y8j-eff
title: Elatine triandra Schkuhr

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0012215.10fu
title: SH0012215.10FU

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: 10.15468/dl.uwttwg
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Spain, Portugal)",
 "DatasetKey is Herbario de la Facultad de Ciencias Biológicas de la Universidad Complutense de Madrid (MACB)",
 "TaxonKey is one of (Laminariales, Tilopteridales)"
 ]
}

 The dataset includes 18 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074626-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/2l0-ems-l7m
title: Epilobium palustre L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.5517/ccdc.csd.cc2pjtjl
title: CCDC 2488820: Experimental Crystal Structure Determination

description: Related Article: Xinrong He, Hanyang Zhang, Nawaf Al-Maharik, Qian Zhang, Zeguo Fang, Dong Li|2025|Org.Lett.|||doi:10.1021/acs.orglett.5c04384
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15156/bio/sh0012216.10fu
title: SH0012216.10FU

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: 10.3535/y4j-59f-c8t
title: Elatine triandra Schkuhr

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15468/22vbhn
title: HG_JUVENILE - Juvenile herring gulls (Larus argentatus, Laridae) hatched at the southern North Sea coast (Belgium)

description: <b>HG_JUVENILE - Juvenile herring gulls (Larus argentatus, Laridae) hatched at the southern North Sea coast (Belgium)</b> is a bird tracking dataset published by the Centre for Research on Ecology, Cognition and Behaviour of Birds at Ghent University and the Research Institute for Nature and Forest (INBO). It contains animal tracking data for the project/study <b>HG_JUVENILE</b>, using trackers developed by Interrex (http://www.interrex-tracking.com). The study has been operational since 2022. In total 204 individuals of European herring gull (<b>Larus argentatus</b>) have been tagged. 150 individuals were raised from egg by Ghent University researchers at the Wildlife Rescue Center in Ostend, completed several cognitive and behavioural tests when approximately three weeks old, and were released in the IJzermonding, Nieuwpoort (Belgium). 54 additional individuals were tagged and released in the wild to collect baseline data. The main goal of the study is to link cognitive performance in the lab to behaviour in the wild. Data are automatically synced with Movebank and from there periodically archived on Zenodo (see https://github.com/inbo/bird-tracking).This dataset was collected using infrastructure provided by the ERC and Ghent University.Data have been standardized to Darwin Core using the movepub R package and are downsampled to the first GPS position per hour. The original data are available in Allaert et al. (2026, https://doi.org/10.5281/zenodo.16960867), a deposit of Movebank study 2217728245.
DOI: 10.5517/ccdc.csd.cc2pk8fz
title: CCDC 2489251: Experimental Crystal Structure Determination

description: Related Article: Filip Koucký, Ivana Císařová, Jan Kotek|2025|RSC Advances|15|49109|doi:10.1039/d5ra07303k
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2pk8j2
title: CCDC 2489254: Experimental Crystal Structure Determination

description: Related Article: Filip Koucký, Ivana Císařová, Jan Kotek|2025|RSC Advances|15|49109|doi:10.1039/d5ra07303k
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2pkdk7
title: CCDC 2489379: Experimental Crystal Structure Determination

description: Related Article: Michal Churý, Tadeáš Petrů, Radek Staník, Jan Sýkora, Václav Eigner, Pavel Lhoták|2025|Org.Lett.|||doi:10.1021/acs.orglett.5c04133
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2przp4
title: CCDC 2495707: Experimental Crystal Structure Determination

description: Related Article: Mamak Bakhtiari, Ludwig Zapf, Tanja Kunz, Brandon L. Frenette, Michael J. Ferguson, Eric Rivard|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c18982
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15156/bio/sh0012217.10fu
title: SH0012217.10FU

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: 10.3535/f48-qtn-ll0
title: Malva alcea L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.5281/zenodo.18153046
title: Integrating Spectral Induced Polarization with Reactive Transport Modeling

description: # Database for Integrating SIP with RTM  to Quantify Nitrate Remediation## OverviewThis database contains experimental and simulation data related to nitrate (NO3-) remediation experiments conducted in two sets of sand columns (case 1 and case 2) using ZVI-AC systems. The dataset includes hydrogeochemical data, energy-dispersive X-ray spectroscopy (EDS) data, Spectral Induced Polarization (SIP) data, and reactive transport simulation results.

##File Descriptions### 1. Hydrogeochemical Data (1 hydrogeochemical_data.txt)---This file contains hydrogeochemical data from two sampling points in the sand columns for both case 1 and case 2. Data were collected over a period of 0-1160 hours. Each dataset is organized into 6 columns:---First column: Sampling time (days)---Columns 2-6: Concentrations of nitrate-nitrogen or ammonium-nitrogen at sampling points (S1-S5)

### 2. EDS Data (2 eds_scan.txt)---This file contains EDS line scan results of solid samples collected from the columns after the experiments for both case 1 and case 2. Each dataset is organized into 6 columns:---Scan distance---Scan intensities (cps) for five different elements

### 3. Spectral Induced Polarization (SIP) Data for Case 1 (3 sip_data for case1.txt)---This file contains SIP data from five measurement channels (C1-C5) in the column for case 1, collected over a period of 0-1160 hours. The dataset is organized such that:---First column: Measurement frequency (0.01-1311 Hz)---Subsequent columns: Real conductivity data or Imaginary conductivity data at different monitoring times

### 4. Spectral Induced Polarization (SIP) Data for Case 2 (4 sip_data for case2.txt)---This file contains SIP data from five measurement channels (C1-C5) in the column for case 2, collected over a period of 0-1160 hours. The dataset is organized such that:---First column: Measurement frequency (0.01-1311 Hz)---Subsequent columns: Real conductivity data or Imaginary conductivity data at different monitoring times

### 5. Simulated Concentration Data for Cases 1 and 2 (Simulated concentrations_.txt)---This file contains simulated nitrate-nitrogen concentration data for case 1 and case 2 under the calibration strategy. Each dataset is organized into 6 columns:---First column: Sampling time (days)---Columns 2-6: Simulated nitrate-nitrogen concentrations at sampling points (S1-S5)

### Usage---To analyze the data, you can import the files into data analysis tools such as Python, MATLAB, or Excel.---Perform statistical analysis or model fitting on the spectral data. SIP spectral data can be fitted using the Debye decomposition model. For reference, you can use the open-source Debye decomposition model "ccd_tools" available at: https://github.com/m-weigand/Debye_Decomposition_Tools.
DOI: 10.15468/dl.bzebgw
title: Occurrence Download

description: A dataset containing 1338 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_1_GID","value":"IND.36_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 1338 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074627-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0012218.10fu
title: SH0012218.10FU

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: 10.15468/dl.mgz6bk
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Amaranthus hybridus",
 "Year 1970-2000"
 ]
}

 The dataset includes 32 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074628-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/h9t-vml-2vf
title: Epilobium palustre L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/pd0-r3a-2dl
title: Elatine triandra Schkuhr

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0012219.10fu
title: SH0012219.10FU

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: 10.3535/amg-24l-vsz
title: Epilobium hornemannii Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0012220.10fu
title: SH0012220.10FU

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.