cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c50r9mj04
title: MassIVE MSV000100927 - Genetically targetable mTORC1 inhibitor reveals transcriptional control by nuclear mTORC1
title: The mechanistic target of rapamycin (mTOR) complex 1 (mTORC1) is a nutrient sensor which integrates diverse inputs to regulate protein translation and cell growth. While mTORC1 is activated on the lysosome in the classical model, it has become increasingly clear that this multifaceted signaling complex is active at various subcellular locations, such as the plasma membrane and nucleus. However, what specific functions mTORC1 serves at these different subcellular locations and how its signaling is compartmentalized are not well understood. To interrogate subcellular pools of mTORC1, we developed TerminaTOR, a genetically encodable inhibitor of mTORC1 that can be targeted to specific subcellular locations. When TerminaTOR is directed to the lysosome, it inhibits canonical lysosomal mTORC1 activity, leading to the induction of autophagy. On the other hand, TerminaTOR targeted to the nucleus specifically inhibits nuclear mTORC1 activity, uncovering non- canonical roles of nuclear mTORC1 in regulating the transcription of CCAAT motif- containing genes. Thus, mTORC1 exhibits functional spatial compartmentalization, and TerminaTOR serves as a powerful tool for unraveling spatially regulated functions of mTORC1 across different scales.
DOI: 10.34740/kaggle/dsv/14913510
title: Random Telecom Payments
DOI: 10.5281/zenodo.18727412
title: Optimisation Under Constraints V: Machine Intelligence in Theoretical Cosmology: Multi-Agent Large Language Model Collaborative Structured Reasoning

description: This work presents a documented methodological case study of multi-agent large language model (LLM) collaboration applied to theoretical cosmology. Using the construction of a renormalisation group (RG)-motivated Early Dark Energy (EDE) framework as testbed, we formalise and critically examine an AI-assisted workflow incorporating GPT-series models (OpenAI), Gemini (Google), and Kimi K2.5 (Moonshot AI) in distinct functional roles: symbolic derivation, adversarial probing, and logical validation.

The central contribution is methodological rather than cosmological. We demonstrate that large language models, when deployed under explicit constraint and cross-validation protocols, can significantly accelerate the hypothesis-generation and formalisation stages of effective field theory construction. At the same time, we identify essential limitations: absence of genuine numerical execution, lack of uniqueness proofs, and continued dependence on human-directed physical insight.

It aims to consolidate the AI-assisted workflow into a reproducible methodological framework, providing transparency regarding multiple LLM/AI contribution, validation structure, and human verification and oversight being first and foremost.

Such architectures may be particularly relevant for latency-constrained or physically inaccessible environments, including deep-space missions, autonomous planetary habitats, and extreme terrestrial research installations, I welcome any collaborative expansion, Scrutiny/constructive criticism Into further research.
DOI: 10.15468/dl.aqjpkz
title: Occurrence Download

description: A dataset containing 7156 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Tracheophyta collection of Biodiversity Center of Japan, Ministry of the Environment"
 ]
}

 The dataset includes 7156 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000435-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qzjc2c
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Vascular plant collection of Botanic Garden, Field Science Center for Northern Biosphere, Hokkaido University"
 ]
}

 The dataset includes 100 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000437-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jz2ap6
title: Occurrence Download

description: A dataset containing 541 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euglossa intersecta"
 ]
}

 The dataset includes 541 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000438-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7266/7xk06t7m
title: Houston geospatial-photoethnography dashboard
DOI: 10.15468/dl.qrvj9z
title: Occurrence Download

description: A dataset containing 9012 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Vascular plant collection of J.F. Oberlin University"
 ]
}

 The dataset includes 9012 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000439-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wxffan
title: Occurrence Download

description: A dataset containing 15318 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bittium",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15318 records from 240 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000440-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.16266.73924
title: Drug Enforcement Administration, Department of Justice.pdf
DOI: 10.15468/dl.2a9fxf
title: Occurrence Download

description: A dataset containing 1959 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euglossa mixta"
 ]
}

 The dataset includes 1959 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000442-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7vgv76
title: Occurrence Download

description: A dataset listing the 176705 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 176705 records were derived from 2988 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000436-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1390401.10fu
title: SH1390401.10FU

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/sh1390402.10fu
title: SH1390402.10FU

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: 10.25549/usctheses-ouc11399n8m1
title: Self-Organizing Neural Arrays: Applications Towards Neuromorphic Circuits, FPGAs, and Neural Networks
DOI: 10.15156/bio/sh1390403.10fu
title: SH1390403.10FU

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/sh1390404.10fu
title: SH1390404.10FU

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/sh1390405.10fu
title: SH1390405.10FU

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/sh1390408.10fu
title: SH1390408.10FU

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/sh1390412.10fu
title: SH1390412.10FU

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/sh1390413.10fu
title: SH1390413.10FU

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: 10.25549/usctheses-ouc11399n8m6
title: Electrocatalytic Small Molecule Activation Using Phosphine-Thiolate Coordination Complexes
DOI: 10.15468/dl.97w8xa
title: Occurrence Download

description: A dataset containing 277 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phoxinus oxycephalus"
 ]
}

 The dataset includes 277 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027215-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.peqn9u
title: Occurrence Download

description: A dataset containing 181 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ixora pudica"
 ]
}

 The dataset includes 181 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027213-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nfgbp6
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eichhornia crassipes",
 "Country is Egypt",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027214-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.spdfdq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trifolium repens",
 "Country is Fiji",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027216-250711103210423/datasets/export for details.
DOI: 10.15468/dl.87bekm
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eleusine indica",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 51 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027217-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r7pv3r
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tetracme pamirica"
 ]
}

 The dataset includes 29 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027218-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qbn6nq
title: Occurrence Download

description: A dataset containing 410685 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphorbia cyparissias"
 ]
}

 The dataset includes 410685 records from 2027 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027132-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/wr2-zlz-316
title: Sus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/s9k-96m-1b6
title: Vincularia Defrance, 1829

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/te8-bwf-cda
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5d9-d5c-qm3
title: Rodentia Bowdich, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fn5-5j1-nwz
title: †Belemnitida

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.16893116
title: Field observations from the Antarctic Climate Forcing Aerosols project

description: The measurements were organized as part of the Antarctic Climate Forcing Aerosol (ACFA) project funded by the Academy of Finland.PI of the project: Mikko Sipilä (mikko.sipila@helsinki.fi)Sub-PI: Aki Virkkula (aki.virkkula@fmi.fi)Additional contacts: Nina Atanasova (nina.atanasova@fmi.fi), Jonathan Duplissy (jonathan.duplissy@helsinki.fi) and Eija Asmi (eija.asmi@fmi.fi)
DOI: 10.5281/zenodo.16893117
title: Field observations from the Antarctic Climate Forcing Aerosols project

description: The measurements were organized as part of the Antarctic Climate Forcing Aerosol (ACFA) project funded by the Academy of Finland.PI of the project: Mikko Sipilä (mikko.sipila@helsinki.fi)Sub-PI: Aki Virkkula (aki.virkkula@fmi.fi)Additional contacts: Nina Atanasova (nina.atanasova@fmi.fi), Jonathan Duplissy (jonathan.duplissy@helsinki.fi) and Eija Asmi (eija.asmi@fmi.fi)
DOI: 10.3535/08e-qrh-7zs
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zn2-tnf-6gw
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/01k-en5-r5x
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4ga-fhs-60h
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.34894/adbktn
title: Handleiding DataverseNL voor lokale beheerders
title: DataverseNL manual for Local Administrators

description: This manual is primarily intended for the DataverseNL administrators of member institutions. As of version 6.0, an English translation is also available.
DOI: 10.3535/0mg-yjm-x40
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wgz-lfn-hxc
title: Cervus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/352-62a-70y
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0h7-k75-4g2
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pmr-z6y-gjw
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.dntga7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nicotiana rustica",
 "Country is Zimbabwe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018799-250811113504898/datasets/export for details.
DOI: 10.3535/583-b0l-ajg
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nb7-6cy-490
title: †Onychocella lamarcki (von Hagenow, 1851)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3s1-h4y-g4e
title: Hibolithes

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rbc-76r-9pj
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/syf-vvk-ntv
title: Alasmidonta Say, 1818

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4cs-mnf-p1x
title: Crocodylus

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.