cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0210082.10fu
title: SH0210082.10FU

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/sh0210083.10fu
title: SH0210083.10FU

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/sh0210084.10fu
title: SH0210084.10FU

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/sh0210085.10fu
title: SH0210085.10FU

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/sh0210086.10fu
title: SH0210086.10FU

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/sh0210087.10fu
title: SH0210087.10FU

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/sh0210088.10fu
title: SH0210088.10FU

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/sh0210089.10fu
title: SH0210089.10FU

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/sh0210090.10fu
title: SH0210090.10FU

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.bvka4q
title: Occurrence Download

description: A dataset containing 101151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2025-12-06",
 "EventDate is less than or equal to 2026-01-05",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 },
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 101151 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070207-251120083545085/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.30983467
title: Additional file 1 of Genome-wide association study of a Guinea grass (Megathyrsus maximus) diversity panel reveals the genetic basis of agronomic and nutritional traits

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.30983467.v1
title: Additional file 1 of Genome-wide association study of a Guinea grass (Megathyrsus maximus) diversity panel reveals the genetic basis of agronomic and nutritional traits

description: Supplementary Material 1.
DOI: 10.5281/zenodo.17873996
title: Reference group, FMO control, and Multicolor data
DOI: 10.5281/zenodo.17873995
title: Reference group, FMO control, and Multicolor data
DOI: 10.34740/kaggle/dsv/14359578
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.dapn9a
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Litoria pallidofemora"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070208-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18112909
title: AJSPIN-WORKBOOK

description: # AJSPIN-WORKBOOK: High-Speed NMR Reporting Tool

A web-based environment for converting NMR peak data into journal-ready text. Designed to replace manual Excel-based workflows like ASpin.

## 🚀 Live Demo[Access the Tool Here](https://amit1436.github.io/AJSPIN-WORKBOOK/)

## ✨ Key Features* **Zero-Installation:** Runs entirely in the browser.* **Automated J value calculations:** Algorithmic assignment of J values for doublets, triplets, doublets of doublet etc.* **Dynamic Color-Coding:** Instant visual feedback without manual cell painting.* **Journal Formatting:** One-click export to ACS, RSC, and Wiley styles.

## 📖 How to UseFor writing 1H NMR data1. Choose solvent, spectrometer frequency and journal styles.2. With the help of OCR tool like Capture2text select the peaks and insert them into each section.3. You can also enter the peaks manually, also you can insert the peaks in any order.3. Click on the +H to add hydrogens or edit the 1H in text part below each section or in the result section.4. After pasting the peak values in each section click on update final report.5. All the values are then displayed in descending order, also j1, j2 values are in descending order, also the final report is fully editable.

For writing 13C NMR data1. Choose solvent, spectrometer frequency and journal styles.2. Paste all ppm values in the "input 13c value" section.3. After putting all the values in this section (values need not to be in any order), click convert & format.4. Now it will display the final result in descending order and also round off the values to one or two decimal places as desired.5. Carbon counter has also been added to count all the peaks and display the total number of 13C peaks.6  Click "copy to clipboard" to copy the final result and paste it into your manuscript.
DOI: 10.5281/zenodo.18112910
title: AJSPIN-WORKBOOK

description: # AJSPIN-WORKBOOK: High-Speed NMR Reporting Tool

A web-based environment for converting NMR peak data into journal-ready text. Designed to replace manual Excel-based workflows like ASpin.

## 🚀 Live Demo[Access the Tool Here](https://amit1436.github.io/AJSPIN-WORKBOOK/)

## ✨ Key Features* **Zero-Installation:** Runs entirely in the browser.* **Automated J value calculations:** Algorithmic assignment of J values for doublets, triplets, doublets of doublet etc.* **Dynamic Color-Coding:** Instant visual feedback without manual cell painting.* **Journal Formatting:** One-click export to ACS, RSC, and Wiley styles.

## 📖 How to UseFor writing 1H NMR data1. Choose solvent, spectrometer frequency and journal styles.2. With the help of OCR tool like Capture2text select the peaks and insert them into each section.3. You can also enter the peaks manually, also you can insert the peaks in any order.3. Click on the +H to add hydrogens or edit the 1H in text part below each section or in the result section.4. After pasting the peak values in each section click on update final report.5. All the values are then displayed in descending order, also j1, j2 values are in descending order, also the final report is fully editable.

For writing 13C NMR data1. Choose solvent, spectrometer frequency and journal styles.2. Paste all ppm values in the "input 13c value" section.3. After putting all the values in this section (values need not to be in any order), click convert & format.4. Now it will display the final result in descending order and also round off the values to one or two decimal places as desired.5. Carbon counter has also been added to count all the peaks and display the total number of 13C peaks.6  Click "copy to clipboard" to copy the final result and paste it into your manuscript.
DOI: 10.5281/zenodo.18112814
title: Public profiles and attributions made on Bionomia.

description: Public profiles and claims or attributions of natural history specimens made for collectors and determiners on Bionomia, https://bionomia.net using data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.13937805
title: Public profiles and attributions made on Bionomia.

description: Public profiles and claims or attributions of natural history specimens made for collectors and determiners on Bionomia, https://bionomia.net using data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.15468/5u47hq
title: Two new varieties of Alysicarpus (Fabaceae) from Peninsular India

description: This dataset contains the digitized treatments in Plazi based on the original journal article J. V., Dalavi, S. P., Bramhadande, R. N., Mane, P. R., Mane, Yadav, S. R. (2021): Two new varieties of Alysicarpus (Fabaceae) from Peninsular India. Rheedea 31 (1): 25-30, DOI: 10.22244/rheedea.2021.31.01.04, URL: https://doi.org/10.22244/rheedea.2021.31.01.04Abstract: Alysicarpus tetragonolobus Edgew. var. falcatus and A. tetragonolobus. var. micranthus are described here as two new varieties of Alysicarpus tetragonolobus from Maharashtra. Both varieties are morphologically close to A. tetragonolobus var. tetragonolobus but differ in their morphology and all grow sympatrically. Observations in the field as well as in cultivation for four years showed that all the varieties retain their diagnostic characters and no intermediates were observed.
DOI: 10.34740/kaggle/dsv/14359605
title: Layline Shareholder activism dataset
DOI: 10.13140/rg.2.2.26460.45441
title: IG STEPS Analysis of PERS008-1S5 1401 1 31 Real World Data by the Persian Curve (PC) Coronavirus dead Shahrivar 1401 Iran 31 IG STEP 07 PERSIAN QUANTILE COMPLETE
DOI: 10.6084/m9.figshare.30983488
title: Supplementary Material for: Validation of an Italian grammatical comprehension test for children: individual and family influences on receptive language

description: Introduction. The study aimed to validate a grammatical comprehension test for Italian-speaking children (TCGB-2; Test di Comprensione Grammaticale per Bambini – seconda versione) and examine the influence of individual and familial factors on grammatical comprehension in Italian-speaking children. A relevant feature of the TCGB-2 is its inclusion of specific grammatical structures scores, which enhances its clinical relevance.
Methods. A multicentre observational study on 452 Italian-speaking children aged 3;6–8;11 (years; months) was conducted. Psychometric evaluations included item analysis, internal consistency, test-retest reliability, and construct validity, encompassing Confirmatory Factor Analysis, convergent validity, and discriminant validity. Differences based on age, gender, parental socioeconomic status (SES), area of residence, and language exposure were also examined, alongside non-verbal reasoning and phonological memory.
Results. The TCGB-2 demonstrated strong psychometric properties, including acceptable reliability, validity, and factorial structure. Statistically significant differences in comprehension scores were observed based on age, gender, and SES, with higher scores for older children, females, and children whose parents have higher educational and professional backgrounds. Non-verbal reasoning and phonological memory showed weak correlations with grammatical comprehension. The inclusion of varied grammatical structures provided a detailed profile of the developmental learning trajectory for each grammatical type.
Conclusion. The TCGB-2 is a valid and reliable tool for assessing grammatical comprehension in Italian children, with its different grammatical structures offering added clinical insight. Findings underscore that age, gender, and SES contribute to language comprehension. These factors should be considered in clinical practice to better support children with language comprehension needs.
DOI: 10.6084/m9.figshare.30983488.v1
title: Supplementary Material for: Validation of an Italian grammatical comprehension test for children: individual and family influences on receptive language

description: Introduction. The study aimed to validate a grammatical comprehension test for Italian-speaking children (TCGB-2; Test di Comprensione Grammaticale per Bambini – seconda versione) and examine the influence of individual and familial factors on grammatical comprehension in Italian-speaking children. A relevant feature of the TCGB-2 is its inclusion of specific grammatical structures scores, which enhances its clinical relevance.
Methods. A multicentre observational study on 452 Italian-speaking children aged 3;6–8;11 (years; months) was conducted. Psychometric evaluations included item analysis, internal consistency, test-retest reliability, and construct validity, encompassing Confirmatory Factor Analysis, convergent validity, and discriminant validity. Differences based on age, gender, parental socioeconomic status (SES), area of residence, and language exposure were also examined, alongside non-verbal reasoning and phonological memory.
Results. The TCGB-2 demonstrated strong psychometric properties, including acceptable reliability, validity, and factorial structure. Statistically significant differences in comprehension scores were observed based on age, gender, and SES, with higher scores for older children, females, and children whose parents have higher educational and professional backgrounds. Non-verbal reasoning and phonological memory showed weak correlations with grammatical comprehension. The inclusion of varied grammatical structures provided a detailed profile of the developmental learning trajectory for each grammatical type.
Conclusion. The TCGB-2 is a valid and reliable tool for assessing grammatical comprehension in Italian children, with its different grammatical structures offering added clinical insight. Findings underscore that age, gender, and SES contribute to language comprehension. These factors should be considered in clinical practice to better support children with language comprehension needs.
DOI: 10.15468/dl.gwshnn
title: Occurrence Download

description: A dataset containing 3697354892 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 3697354892 records from 88048 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070189-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/cc3t-mh44
title: "3D OR-PAM data"

description: "three-dimensional optical-resolution photoacoustic microscopy (3D OR-PAM) data"
DOI: 10.15468/qbhac6
title: Two new species of Eugenia (Myrtaceae) from Central Amazonia, Brazil

description: This dataset contains the digitized treatments in Plazi based on the original journal article De Souza, Maria Anália D., Scudeller, Veridiana V., Mendonça, Maria Sílvia De (2016): Two new species of Eugenia (Myrtaceae) from Central Amazonia, Brazil. Phytotaxa 289 (2): 167-174, DOI: 10.11646/phytotaxa.289.2.6, URL: http://dx.doi.org/10.11646/phytotaxa.289.2.6AbstractThere are described, illustrated and compared with related species Eugenia lisboae and Eugenia ramosii. Eugenia lisboae is similar to E. citrifolia, differing by its adaxially concave midvein, triangular and basally connate sepals and ellipsoid fruits. Eugenia ramosii is morphologically similar to E. diplocampta, from which it differs by campto-brochidodromous venation, deltoid or scaly with acute apex and oblong-orbicular sepals that conceal the floral globe but not closing the top of bud, which is globose.