cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0013793.10fu
title: SH0013793.10FU

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/r00-mmy-29w
title: Epilobium hornemannii Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.17632/pp9rt2ys4y.1
title: Global soil salinity prediction and uncertainty data

description: We combined 22,748 global field observation data with multi-source remote sensing data and data-driven modeling to generate a high-resolution global soil salinity map with robust performance (R²=0.65). Among them, 637 measurement points were from arid regions in China, and 22,748 global field stations were from WoSIS (https://www.isric.org/explore/wosis)
The urbanization intensity (UI) data is quantified based on the impervious surface area data from 2018, with the source of the 2018 impervious surface area data being (https://doi.org/10.1016/j.rse.2019.111510)
DOI: 10.3535/jdc-xzx-7b5
title: Epilobium palustre L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/v0z-xl1-2yl
title: Epilobium hornemannii Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/n7z-3dt-rld
title: Epilobium palustre L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0013794.10fu
title: SH0013794.10FU

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/j30-0av-ckr
title: Epilobium palustre L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/jkl-dg7-8st
title: Epilobium palustre L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/e82-fy3-51c
title: Hypericum maculatum Crantz

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0013795.10fu
title: SH0013795.10FU

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/c3x-qm7-v12
title: Impatiens noli-tangere L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/erg-ace-02m
title: Epilobium hornemannii Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/a1k-xqp-b87
title: Epilobium palustre L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0013796.10fu
title: SH0013796.10FU

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/mhh-9ja-kwg
title: Epilobium palustre L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0013797.10fu
title: SH0013797.10FU

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: 10.17632/wyc43xpcff.1
title: Shaping Inter-Brain Plasticity: A Feasibility Study of Enhancing Inter-Brain Synchrony with Dyadic Neurofeedback

description: This study tested whether dyadic neurofeedback training can causally enhance inter-brain synchrony in the inferior frontal gyrus (IFG) and whether such neural changes translate into increased social connectedness and empathy. We hypothesized that (1) participants receiving real-time neurofeedback would exhibit greater IFG synchrony across sessions compared to a sham-feedback control group; (2) enhanced synchrony would lead to increased feelings of connectedness; (3) increases in inter-brain synchrony would also be associated with intra-brain synchrony changes within individuals.

Data Collection:
Participants (N=92; 46 dyads) were randomly assigned to an experimental or control group and engaged in three neurofeedback training sessions over one week. fNIRS data were collected simultaneously from both participants using NIRx systems targeting frontal and parietal regions. Real-time coherence in the IFG (oxygenated hemoglobin) was computed using Wavelet Transform Coherence (WTC), and used to drive a visual feedback task (a fish whose speed reflected neural synchrony). The control group received sham feedback. Offline preprocessing and WTC analyses were later conducted on all channels to assess inter- and intra-brain synchrony. Behavioral data were gathered through self-report questionnaires measuring state connectedness (pre/post each session).

Findings:

The experimental group exhibited a progressive increase in IFG inter-brain synchrony across sessions, whereas the control group did not. Synchrony increases extended to other brain areas, including the IPL and DLPFC. Moreover participants receiving real feedback showed greater improvements in social connectedness, especially in feelings of understanding, identification, and desire to know their partner better. 
Changes in frontoparietal inter-brain synchrony predicted increases in connectedness in the experimental group. Finally enhanced inter-brain synchrony was associated with increased intra-brain synchrony (especially IFG-IPL and DLPFC pathways), suggesting neuroplastic changes within individuals. In contrast, the control group showed a shift toward increased mPFC-DLPFC with IPL synchrony, possibly reflecting effortful or compensatory processing.

Interpretation and Use:
The data suggest that inter-brain synchrony is a plastic and trainable neural mechanism. Repeated real-time neurofeedback targeting IFG synchrony can enhance both inter and intra brain synchrony. Inter-brain synchrony was not only upregulated in targeted regions but spread to broader social-cognitive networks, supporting its causal role in social bonding. Moreover, synchronization effects were predictive of behavioral gains, linking neural coordination to social outcomes.
DOI: 10.3535/5gj-cpp-vqs
title: Nymphaea × borealis E. G. Camus

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/k1b-35r-xke
title: Epilobium hornemannii Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/5h2-dnf-cx5
title: Nymphaea × borealis E. G. Camus

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/rf0-b6l-gt2
title: Nymphaea × borealis E. G. Camus

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0013798.10fu
title: SH0013798.10FU

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: 10.3535/82q-t8a-m0j
title: Nymphaea × borealis E. G. Camus

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/s48-41a-tcv
title: Epilobium hornemannii Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/xa6-t8l-f19
title: Hypericum maculatum Crantz

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0013799.10fu
title: SH0013799.10FU

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/jsd-pa0-faf
title: Epilobium hornemannii Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0013800.10fu
title: SH0013800.10FU

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: 10.17632/275grzntd3
title: North Eastern Indian Numismatics

description: This dataset contains a carefully selected collection of 2147 high-resolution tiff images of ancient and mediaeval coins from the Northeastern regions of India with a total of 51 classes from all four regions. The images of this dataset have been taken from Assam, Tripura, Koch Bihar, and Jaintiapur. This dataset will support research of numismatics, archaeology, cultural heritage digitisation, and image classification with artificial intelligence.
The coins have been collected from verified private collections and five reputed auction houses: Marudhar Arts, Oswal Auction, Classical Numismatic Gallery, David Feldman, and Jain Auction House with their permissions. Each coin was examined visually and authenticated using standard numismatic references to confirm its dynasty, denomination, motif type, and inscription style. The coins' inscriptions are written in Assamese, Bengali, Sanskrit, Arabic, and various local scripts.
To enable machine learning applications, all images went through standard preprocessing steps, including noise reduction, and resizing to 512 × 512 pixels. The front and back design was kept perfect for each image. The dataset comes with a detailed annotation file that documents metadata, including class labels and numismatic features. It delivers a systematic hierarchical model covering 51 defined coin classes across four regions of the Northeastern Indian dataset.
DOI: 10.3535/gka-7mj-qg0
title: Impatiens noli-tangere L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0013801.10fu
title: SH0013801.10FU

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/her-8rj-q3e
title: Impatiens noli-tangere L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/wva-7nd-2nd
title: Epilobium hornemannii Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0013802.10fu
title: SH0013802.10FU

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: 10.17632/275grzntd3.2
title: North Eastern Indian Numismatics

description: This dataset contains a carefully selected collection of 2147 high-resolution tiff images of ancient and mediaeval coins from the Northeastern regions of India with a total of 51 classes from all four regions. The images of this dataset have been taken from Assam, Tripura, Koch Bihar, and Jaintiapur. This dataset will support research of numismatics, archaeology, cultural heritage digitisation, and image classification with artificial intelligence.
The coins have been collected from verified private collections and five reputed auction houses: Marudhar Arts, Oswal Auction, Classical Numismatic Gallery, David Feldman, and Jain Auction House with their permissions. Each coin was examined visually and authenticated using standard numismatic references to confirm its dynasty, denomination, motif type, and inscription style. The coins' inscriptions are written in Assamese, Bengali, Sanskrit, Arabic, and various local scripts.
To enable machine learning applications, all images went through standard preprocessing steps, including noise reduction, and resizing to 512 × 512 pixels. The front and back design was kept perfect for each image. The dataset comes with a detailed annotation file that documents metadata, including class labels and numismatic features. It delivers a systematic hierarchical model covering 51 defined coin classes across four regions of the Northeastern Indian dataset.
DOI: 10.3535/x1w-qm3-zex
title: Tilia cordata Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/4gc-c2y-y5f
title: Impatiens glandulifera Royle

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/cb0-0ll-jpk
title: Tilia cordata Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/s18-tqw-lph
title: Impatiens glandulifera Royle

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.17632/6hrv4983nm.1
title: Isolation and Characterization of a Cold-Tolerant Diazotroph, Pseudomonas monteilii B12, with Exceptional Nitrogen-Fixing Potential

description: Ammonification and biological nitrogen fixation data of Pseudomonas monteilii B12 along with physiological data.Also include seed germination data
DOI: 10.3535/sz3-nlm-w93
title: Impatiens noli-tangere L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.17632/m7bbxhckc8
title: Data set for Feedback Sources and Feedback Sense-Making in Undergraduate Biology Writing

description: This dataset contains anonymized quantitative and coded qualitative data collected for a mixed-methods study examining how different formative feedback sources shape undergraduate biology students’ writing, scientific reasoning, and engagement with revision. Data were collected from students enrolled in General Biology II and Botany courses at a U.S. community college (N = 104) and include final essay performance scores based on an analytic writing rubric, pre- and post-assessment measures of multiple scientific reasoning subskills, and coded student perception data derived from written reflections on feedback use. Students were assigned to one of four feedback conditions: AI-generated feedback, peer feedback, expert feedback, or instructor-provided guidelines. All variables are de-identified and reported at the individual level to support transparency, replication, and secondary analysis. The data were analyzed using descriptive statistics, regression models, paired-sample comparisons, and thematic coding, with analyses conducted in Jamovi. These data support research on formative feedback, feedback literacy, scientific reasoning, and disciplinary writing in undergraduate biology, particularly in community college STEM contexts.
DOI: 10.3535/mve-xst-gly
title: Tilia cordata Mill.

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