cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2bjscz
title: Occurrence Download

description: A dataset containing 1873 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Trachinotus goreensis Cuvier, 1832, Trachinotus mookalee Cuvier, 1832, Trachinotus blochii (Lacepède, 1801), Trachinotus anak Ogilby, 1909)"
 ]
}

 The dataset includes 1873 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000645-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r8f2bk
title: Occurrence Download

description: A dataset containing 1194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Trachinotus blochii (Lacepède, 1801), Trachinotus anak Ogilby, 1909)"
 ]
}

 The dataset includes 1194 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000629-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4dwftw
title: Occurrence Download

description: A dataset containing 1288 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Trachinotus mookalee Cuvier, 1832, Trachinotus blochii (Lacepède, 1801), Trachinotus anak Ogilby, 1909)"
 ]
}

 The dataset includes 1288 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000637-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7wsz8w
title: Occurrence Download

description: A dataset containing 3804 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Trachinotus ovatus (Linnaeus, 1758), Trachinotus goreensis Cuvier, 1832, Trachinotus mookalee Cuvier, 1832, Trachinotus blochii (Lacepède, 1801), Trachinotus anak Ogilby, 1909)"
 ]
}

 The dataset includes 3804 records from 166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000650-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5bz61m4z
title: MassIVE MSV000096443 - Direct nuclear deformation through entanglement with ECM fibrils triggers the nuclear entry of YAP
title: Glycation of the extracellular matrix (ECM) is a hallmark of human aging that induces significant physicochemical changes in ECM proteins. Yet, the impact of these modifications on cell interactions within a 3D ECM remains underexplored due to the scarcity of physiological models. In this study, we develop a glycated cell-derived ECM model that simulates aged connective tissue. Using this model, we demostrated that glycation reshapes physical connections with cells, including integrins, actin filaments, and the linker of nucleoskeleton and cytoskeleton (LINC) complex. Specifically, the glycated RGD motif in fibronectin disrupts integrin ?5?1- mediated adhesion, altering the way cells anchor to glycated proteins and impairing force transmission through the actomyosin network and the LINC complex. In this context, the nucleus functions as a central mechanosensor that responds independently of downstream cytoplasmic signaling to the mechanically restrictive ECM. The nucleus directly deforms through entanglement with dense ECM fibers, facilitating YAP nuclear entry even without LINC complex-mediated force transmission. Thus, this work provides new insights into the complex mechanical interplay between cells and the ECM, highlighting how cells adaptively rewire the ECM-cytoplasm nucleus axis in response to environmental anchoring susceptibilities.
DOI: 10.34740/kaggle/dsv/9940158
title: BBC Burmese News rss
DOI: 10.15468/dl.axk5ra
title: Occurrence Download

description: A dataset containing 1650800 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (North America, South America)",
 "CoordinateUncertaintyInMeters 0.0-1000000.0",
 "TaxonKey is Amphibia"
 ]
}

 The dataset includes 1650800 records from 270 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010142-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8jb2gh
title: Occurrence Download

description: A dataset containing 21928658 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((54.30145 12.48284,83.28931 12.48284,83.28931 24.07798,54.30145 24.07798,54.30145 12.48284))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 21928658 records from 1124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019610-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18434/m353
title: REFLEAK: NIST Leak/Recharge Simulation Program for Refrigerant Blends - SRD 73
DOI: 10.15156/bio/sh0192867.10fu
title: SH0192867.10FU

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/sh0192868.10fu
title: SH0192868.10FU

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/sh0192869.10fu
title: SH0192869.10FU

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.tc9jjf
title: Occurrence Download

description: A dataset containing 792420 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Geometry POLYGON((-118.396 24.411,-75.755 24.411,-75.755 37.483,-118.396 37.483,-118.396 24.411))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 792420 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023763-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xw4ngm
title: Occurrence Download

description: A dataset containing 944 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Kenya Virtual Museum Records, Occurrence records of mammal species in Tana River Basin, Kenya, List of animalia, fungi and plant species recorded through naturalist observations and research activities in Benin. Data mobilized in the framework of a JRS Biodiversity Foundation project of Benin, NABU|naturgucker, Occurrence records of different mammal species from several localities in Kenya, Observation.org, Nature data from around the World, Levantamento de Mamíferos do Parque Nacional da Quiçama - INBAC/RWCP - 2017)",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0, Pending)",
 "TaxonKey is Leptailurus serval (Schreber, 1776)",
 "Year 2015-2025"
 ]
}

 The dataset includes 944 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023830-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9uz7cz
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melitta eickworti Snelling & Stage, 1995"
 ]
}

 The dataset includes 56 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023829-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/szx3kgpn3k.1
title: Perl scripts

description: The exact commands used for running the analyses of Perl scripts to filter raw data by removing Smart-seq2 public primer sequences, contaminated adapter reads, low-quality reads, and the reads with over 5% N bases.
DOI: 10.15468/dl.pahjn7
title: Occurrence Download

description: A dataset containing 3435 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brachypterum (Wight & Arn.) Benth."
 ]
}

 The dataset includes 3435 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023832-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.23sg7x
title: Occurrence Download

description: A dataset containing 482898 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ostracoda"
 ]
}

 The dataset includes 482898 records from 1310 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023773-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34945/f5h308
title: An optogenetic model of hindlimb spasticity after complete T9-T10 spinal cord transection in male and female C57bl/6 mice

description: STUDY PURPOSE: The purpose of this study was to test the efficacy of optogenetic stimulation of cutaneous VGLUT2+ sensory afferents in eliciting spasticity-associated behaviours after spinal cord injury. A tri-hybrid transgenic mouse line was produced (Isl1-Cre : Vglut2-IRES2-FLPo-D : Ai80(RCFL-CatCh)-D) to express the CatCh channelrhodopsin variant with VGLUT2+ sensory afferents. These mice were then subjected to a T9-T10 complete spinal cord transection to induce spasticity. The primary goal of this work was to validate this mouse model for the study of hindlimb spasticity after spinal cord injury, where light could be used to simply and reliably elicit spasticity-associated behaviours. DATA COLLECTED: EMG data from the tibialis anterior and gastrocnemius muscles of awake and freely behaving mice was collected in the weeks following a complete T9-T10 transection (2 wpi, 3 wpi, 4 wpi, 5 wpi, and 10 wpi : wpi=weeks post injury). Blue light was directed onto each of the paws of the mice through a transparent floored chamber. Each session was comprised of 9 light pulses directed to each hindpaw, as well as 2 control pulses directed away from the mouse (20 total sweeps). Amplitudes and latencies of the EMG responses were averaged across trials. Anatomical data examining the expression of markers of various sensory afferent subtypes were also collected to confirm the identities of the optogenetically stimulated sensory afferents. RNAScope in situ hybridization (VGLUT1, VGLUT2) and immunohistochemistry (TRPV1, CGRP, IB4, TDTOMATO) techniques were performed for these markers and cell counts were performed. DATA USAGE NOTES:
DOI: 10.15468/dl.nxvfq6
title: Occurrence Download

description: A dataset containing 4758 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aganope Miq."
 ]
}

 The dataset includes 4758 records from 159 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023831-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9d89vjcghv.1
title: SIMPD V1

description: Automated plant recognition in real-time, wild settings presents a significant challenge in both botanical taxonomy and computer vision. Existing databases of medicinal plants are typically designed for specific plant classes and are often created in controlled laboratory environments with plain white backgrounds. Traditional handcrafted feature engineering is inadequate for handling large-scale datasets consisting of unconstrained images.
Furthermore, existing datasets lack mobile-based plant images captured in natural scenes, and they exhibit significant variability depending on contributors, camera types, geographic locations, seasonal variations, and individual plant characteristics. To address this gap, a new database of medicinal plants found in the wild has been developed.
This dataset, named South Indian Medicinal Plants (SIMP) Dataset Version 1, comprises 2,503 images collected from various locations in and around Tirunelveli. The SIMP dataset includes 20 different classes of medicinal plants, encompassing herbs, shrubs, creepers, climbers, wild plants, and trees.
DOI: 10.17632/9d89vjcghv.2
title: SIMPD V1: South Indian Medicinal Plants dataset (Version 1)

description: Automated plant recognition in real-time, wild settings presents a significant challenge in both botanical taxonomy and computer vision. Existing databases of medicinal plants are typically designed for specific plant classes and are often created in controlled laboratory environments with plain white backgrounds. Traditional handcrafted feature engineering is inadequate for handling large-scale datasets consisting of unconstrained images.
Furthermore, existing datasets lack mobile-based plant images captured in natural scenes, and they exhibit significant variability depending on contributors, camera types, geographic locations, seasonal variations, and individual plant characteristics. To address this gap, a new database of medicinal plants found in the wild has been developed.
This dataset, named South Indian Medicinal Plants (SIMP) Dataset Version 1, comprises 2,503 images collected from various locations in and around Tirunelveli. The SIMP dataset includes 20 different classes of medicinal plants, encompassing herbs, shrubs, creepers, climbers, wild plants, and trees.
DOI: 10.5517/ccdc.csd.cc2l3mgt
title: CCDC 2386766: Experimental Crystal Structure Determination

description: Related Article: Athul Krishna, Lorena Fritsch, Jakob Steube, Miguel A. Argüello Cordero, Roland Schoch, Adam Neuba, Stefan Lochbrunner, Matthias Bauer|2025|Inorg.Chem.|64|1401|doi:10.1021/acs.inorgchem.4c04479
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/g3mbc6z2mx.1
title: Data Set_ Sustainable Entrepreneurial Support Model

description: The Sustainable Entrepreneurial Support Model (SESM) is the output of research on entrepreneurial intentions in sustainable entrepreneurship with a location in Kulon Progo Regency, Daerah Istimewa Yogyakarta (DIY) Province, Indonesia. This model is an approach to encourage the formation of entrepreneurial intentions in sustainability-oriented entrepreneurial activities. This model was inspired by a previous study conducted by Turker and Selcuk in 2009 in Turkey with the context of entrepreneurial support to encourage entrepreneurial intentions among students. SESM adjusts to the era of achieving sustainable development goals so that it involves a mediating variable, namely perceived CSR Support. The implementation of this variable is to mediate the influence of local culture on sustainable entrepreneurial intention. In the context of society in special areas, local culture is very embedded in society so that it is considered as an exogenous variable in shaping intentions in sustainable entrepreneurship. The measurement model formatively adapts to social life with a final total of 20 indicators. Involving 373 respondents including micro and small enterprises, village-owned enterprises and cooperatives with different proportions. Data collection through questionnaires directly to respondents between November 2023 - February 2024. Reliability testing with the results of Rho_A of 1 which means perfectly reliable. Validity testing based on outer weight (&gt;0.20), outer loading (&gt;0.50), t-statistic (&gt;1.96 or &gt;1.68), and p-value (&lt;0.05 or &lt;0.10). Data processing using Smart-Pls software. The results show variations in validity values but can be maintained as a measure of the three variables. This model places Perceived CSR support as a Sustainable Entrepreneurial Support Model to encourage local culture in influencing sustainable entrepreneurial intention. These results provide information for the regional government in encouraging companies to carry out CSR to support the entrepreneurial ecosystem in a sustainable manner with an orientation on cultural economic value. 
Keywords: Local culture, sustainable entrepreneurial intention, perceived CSR Support
DOI: 10.5517/ccdc.csd.cc2l3mhv
title: CCDC 2386767: Experimental Crystal Structure Determination

description: Related Article: Athul Krishna, Lorena Fritsch, Jakob Steube, Miguel A. Argüello Cordero, Roland Schoch, Adam Neuba, Stefan Lochbrunner, Matthias Bauer|2025|Inorg.Chem.|64|1401|doi:10.1021/acs.inorgchem.4c04479
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2l3mjw
title: CCDC 2386768: Experimental Crystal Structure Determination

description: Related Article: Athul Krishna, Lorena Fritsch, Jakob Steube, Miguel A. Argüello Cordero, Roland Schoch, Adam Neuba, Stefan Lochbrunner, Matthias Bauer|2025|Inorg.Chem.|64|1401|doi:10.1021/acs.inorgchem.4c04479
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2l16nj
title: CCDC 2384447: Experimental Crystal Structure Determination

description: Related Article: Iván Gómez-Muñoz, Ziqi Hu, Iñigo J. Vitórica-Yrezábal, Eugenio Coronado, Guillermo Mínguez Espallargas|2025|Chemical Science|16|2879|doi:10.1039/D4SC07042A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2l16ql
title: CCDC 2384449: Experimental Crystal Structure Determination

description: Related Article: Iván Gómez-Muñoz, Ziqi Hu, Iñigo J. Vitórica-Yrezábal, Eugenio Coronado, Guillermo Mínguez Espallargas|2025|Chemical Science|16|2879|doi:10.1039/D4SC07042A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.