cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.42ug29
title: Occurrence Download

description: A dataset containing 3825 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_1_GID","value":"BRA.11_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 3825 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074731-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/tkx-cxg-9gz
title: Tilia cordata Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/b7v-4dv-tyz
title: Tilia cordata Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/cct-kpn-lzq
title: Tilia cordata Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.17632/m7bbxhckc8.1
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/j8c-ayq-paq
title: Tilia cordata Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/jnm-q0e-vcn
title: Epilobium palustre L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/e0r-xac-pjm
title: Tilia cordata Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0013803.10fu
title: SH0013803.10FU

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/e66-k3a-4b2
title: Tilia cordata Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.34740/kaggle/dsv/14401768
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15156/bio/sh0013804.10fu
title: SH0013804.10FU

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/jbt-9tf-r5l
title: Tilia cordata Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/5nq-g6v-zd4
title: Epilobium palustre L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0013805.10fu
title: SH0013805.10FU

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/sfx-llz-fgf
title: Epilobium palustre L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.17632/8f8fhpdxcc
title: Pashto Language Dataset of Speech and Text (PLDST)

description: The PashtoCoST dataset is a bilingual speech-text corpus created to facilitate research in Pashto voice processing, text-to-speech synthesis, and automatic speech recognition. The dataset consists of recordings from five native Pashto speakers, meticulously gathered under controlled conditions to guarantee clarity and consistency. It comprises 20,000 audio recordings, each accompanied by relevant textual information. The textual material includes Pashto script, its English translation, and a Romanized Pashto transcription, so aiding in pronunciation modeling and multilingual alignment. The dataset comprises two primary components: an audio folder containing recordings and a corresponding Excel file with three columns (Pashto text, English translation, and Romanized Pashto) featuring 20,000 aligned entries. This resource establishes a significant basis for enhancing research in low-resource language modeling, speech synthesis, and cross-lingual applications pertaining to the Pashto language.
DOI: 10.3535/1jq-0f0-zn2
title: Tilia cordata Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/jhk-8xz-t6k
title: Epilobium hornemannii Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0013806.10fu
title: SH0013806.10FU

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: 10.3535/5f0-3ex-jjq
title: Tilia cordata Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0013807.10fu
title: SH0013807.10FU

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: 10.17632/8f8fhpdxcc.3
title: Pashto Language Dataset of Speech and Text (PLDST)

description: The PashtoCoST dataset is a bilingual speech-text corpus created to facilitate research in Pashto voice processing, text-to-speech synthesis, and automatic speech recognition. The dataset consists of recordings from five native Pashto speakers, meticulously gathered under controlled conditions to guarantee clarity and consistency. It comprises 20,000 audio recordings, each accompanied by relevant textual information. The textual material includes Pashto script, its English translation, and a Romanized Pashto transcription, so aiding in pronunciation modeling and multilingual alignment. The dataset comprises two primary components: an audio folder containing recordings and a corresponding Excel file with three columns (Pashto text, English translation, and Romanized Pashto) featuring 20,000 aligned entries. This resource establishes a significant basis for enhancing research in low-resource language modeling, speech synthesis, and cross-lingual applications pertaining to the Pashto language.
DOI: 10.3535/b71-1q5-sg0
title: Tilia cordata Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.17632/b5mw82szbc
title: Tracking Sustainability Dynamics in EU Transport Sector: Bayesian Latent Change-Score Analysis Study

description: This dataset contains harmonized longitudinal data for the EU-27 covering the period 2007–2023, designed to support empirical analysis of transport-sector greenhouse gas emissions dynamics. It includes transport-related greenhouse gas emissions per capita (GHG), road freight activity measured in tonne-kilometres (TK), and Logistics Performance Index (LPI) scores.

GHG emissions and freight activity data were sourced from Eurostat, population data from the UN World Population Prospects (via Our World in Data), and LPI scores from the World Bank. The dataset integrates these sources into a consistent country-level panel structure.

All variables were log-transformed and standardized prior to analysis to address skewness and scale differences. Time alignment was performed to match the availability of LPI waves, resulting in harmonized observation periods suitable for longitudinal and latent change score modeling.

The dataset includes the processed wide-format file (DATA_wide.xlsx) used in the empirical analysis, along with associated metadata required for replication. It is intended for use in studies on transport emissions, logistics performance, sustainability transitions, and dynamic panel or structural equation modeling.
DOI: 10.3535/qv2-9v9-9ch
title: Epilobium palustre L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0013808.10fu
title: SH0013808.10FU

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: 10.3535/0pw-zcc-mgq
title: Epilobium hornemannii Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0013809.10fu
title: SH0013809.10FU

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/z5c-541-rkx
title: Epilobium palustre L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/lt2-fby-9fe
title: Hypericum maculatum Crantz

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0013810.10fu
title: SH0013810.10FU

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/b5mw82szbc.1
title: Tracking Sustainability Dynamics in EU Transport Sector: Bayesian Latent Change-Score Analysis Study

description: This dataset contains harmonized longitudinal data for the EU-27 covering the period 2007–2023, designed to support empirical analysis of transport-sector greenhouse gas emissions dynamics. It includes transport-related greenhouse gas emissions per capita (GHG), road freight activity measured in tonne-kilometres (TK), and Logistics Performance Index (LPI) scores.

GHG emissions and freight activity data were sourced from Eurostat, population data from the UN World Population Prospects (via Our World in Data), and LPI scores from the World Bank. The dataset integrates these sources into a consistent country-level panel structure.

All variables were log-transformed and standardized prior to analysis to address skewness and scale differences. Time alignment was performed to match the availability of LPI waves, resulting in harmonized observation periods suitable for longitudinal and latent change score modeling.

The dataset includes the processed wide-format file (DATA_wide.xlsx) used in the empirical analysis, along with associated metadata required for replication. It is intended for use in studies on transport emissions, logistics performance, sustainability transitions, and dynamic panel or structural equation modeling.
DOI: 10.3535/9ef-pr1-ylb
title: Epilobium hornemannii Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/qwc-a4v-6bk
title: Hypericum maculatum Crantz

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0013811.10fu
title: SH0013811.10FU

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: 10.3535/862-llj-lr7
title: Epilobium palustre L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/hfs-9z7-pw1
title: Epilobium hornemannii Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/kja-c8d-agn
title: Epilobium palustre L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/4df-81j-9dp
title: Epilobium hornemannii Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/8bz-swz-vre
title: Elatine orthosperma Düben

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/fgl-9r7-0nm
title: Hypericum maculatum Crantz

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/yk0-lzb-5th
title: Epilobium palustre L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/1t1-1j7-7xd
title: Epilobium palustre L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0013812.10fu
title: SH0013812.10FU

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/c07-w75-rde
title: Nymphaea × borealis E. G. Camus

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/khr-514-x19
title: Epilobium hornemannii Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/vd2-fbb-5tl
title: Nymphaea × borealis E. G. Camus

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