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

description: A dataset containing 2487 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Urtica cannabina",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2487 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011357-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/cc5fygz
title: CCDC 162361: Experimental Crystal Structure Determination

description: Related Article: P.Ott, H.-J.Hansen|2001|Helv.Chim.Acta|84|2670|doi:10.1002/1522-2675(20010919)84:9<2670::AID-HLCA2670>3.0.CO;2-P
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/cc5lzxm
title: CCDC 167211: Experimental Crystal Structure Determination

description: Related Article: A.Vij, J.L.Palmer, K.Chauhan, R.V.Williams|2000|J.Chem.Cryst.|30|621|doi:10.1023/A:1011981630202
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/cc5m02v
title: CCDC 167216: Experimental Crystal Structure Determination

description: Related Article: S.Bhattacharya, A.K.Bera, S.Ghosh, S.Chakraborty, B.P.Mukhopadhyay, A.Pal, A.Banerjee|2000|J.Chem.Cryst.|30|655|doi:10.1023/A:1011948216090
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/cc5m05y
title: CCDC 167219: Experimental Crystal Structure Determination

description: Related Article: B.P.Cunningham, J.A.Kautz|2000|J.Chem.Cryst.|30|671|doi:10.1023/A:1011952316999
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/cc5tgjy
title: CCDC 173430: Experimental Crystal Structure Determination

description: Related Article: R.E.Sykora, M.Ruf, T.E.Albrecht-Schmitt|2001|J.Solid State Chem.|159|198|doi:10.1006/jssc.2001.9151
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/cc5tgkz
title: CCDC 173431: Experimental Crystal Structure Determination

description: Related Article: R.E.Sykora, M.Ruf, T.E.Albrecht-Schmitt|2001|J.Solid State Chem.|159|198|doi:10.1006/jssc.2001.9151
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/cc594xh
title: CCDC 157756: Experimental Crystal Structure Determination

description: Related Article: R.Garcia, A.Paulo, A.Domingos, I.Santos|2001|J.Organomet.Chem.|632|41|doi:10.1016/S0022-328X(01)00838-5
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/cc594yj
title: CCDC 157757: Experimental Crystal Structure Determination

description: Related Article: R.Garcia, A.Paulo, A.Domingos, I.Santos|2001|J.Organomet.Chem.|632|41|doi:10.1016/S0022-328X(01)00838-5
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/cc594zk
title: CCDC 157758: Experimental Crystal Structure Determination

description: Related Article: R.Garcia, A.Paulo, A.Domingos, I.Santos|2001|J.Organomet.Chem.|632|41|doi:10.1016/S0022-328X(01)00838-5
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/cc59hb8
title: CCDC 158079: Experimental Crystal Structure Determination

description: Related Article: A.R.Dias, M.H.Garcia, M.J.Villa de Brito, A.Galvao|2001|J.Organomet.Chem.|632|75|doi:10.1016/S0022-328X(01)01047-6
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/cc59hc9
title: CCDC 158080: Experimental Crystal Structure Determination

description: Related Article: A.R.Dias, M.H.Garcia, M.J.Villa de Brito, A.Galvao|2001|J.Organomet.Chem.|632|75|doi:10.1016/S0022-328X(01)01047-6
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/cc599nd
title: CCDC 157903: Experimental Crystal Structure Determination

description: Related Article: M.H.Garcia, M.P.Robalo, A.P.S.Teixeira, A.R.Dias, M.F.M.Piedade, M.T.Duarte|2001|J.Organomet.Chem.|632|145|doi:10.1016/S0022-328X(01)01039-7
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/cc59hdb
title: CCDC 158081: Experimental Crystal Structure Determination

description: Related Article: A.R.Dias, M.H.Garcia, M.J.Villa de Brito, A.Galvao|2001|J.Organomet.Chem.|632|75|doi:10.1016/S0022-328X(01)01047-6
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: 10.13140/rg.2.2.11787.49441
title: Regulation for Seismic Retrofit of Masonry School Buildings
DOI: 10.15468/dl.p8twt2
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psychotria ramosissima"
 ]
}

 The dataset includes 32 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000966-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w68agw
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psychotria reynosoi"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000967-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.27725.84966
title: Preparation and characterization of manganese doped zinc sulphide nanocrystalline powders with luminescent properties, Studia Universitatis Babes-Bolyai - Chemia (2009), LIV(3), 23-29
DOI: 10.15468/dl.7dtkfm
title: Occurrence Download

description: A dataset containing 457 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "TaxonKey is Abies pinsapo"
 ]
}

 The dataset includes 457 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000969-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.17240.08969
title: Regulation for Retrofit of Diaphragms
DOI: 10.60686/t-fsd3887
title: FSD3887 Users Commenting on Online News 2020
DOI: 10.82144/cce32274
title: SMRU sperm whale distribution around the Balearic Islands 2003-2008

description: Original provider:
Enrico Pirotta, Sea Mammal Research Unit (SMRU)

Dataset credits:
Luke Rendell and Enrico Pirotta, Sea Mammal Research Unit (SMRU)

Abstract:
Sperm whale &lt;i&gt;Physeter macrocephalus&lt;/i&gt; habitat preferences are still poorly understood in the Mediterranean, despite the population being classified as ‘Endangered’ by the IUCN. Techniques to make the best use of multiple data sources are important in improving this situation. This work provides
a detailed evaluation of sperm whale distribution and habitat use around the Balearic Islands using a novel analytical framework that combines transect and follow data while accounting for any autocorrelation present. During dedicated research cruises (2003 to 2008), sperm whales were
located by listening at regular intervals along a search track and subsequently followed acoustically. Sperm whales were encountered 56 times and followed for periods ranging from a few hours to 3 d. Logistic Generalized Additive Models were used to model the probability of whale presence across
the study area as a function of environmental variables, and Generalized Estimating Equations were used to account for autocorrelation. The results suggest that sperm whales do not use the region uniformly and that topography plays a key role in shaping their distribution. Moreover, solitary individuals
were found to use the habitat differently from groups. This segregation appeared to be driven by water temperature and might reflect different needs or intraspecific competition. By shedding light on sperm whale habitat preference in such a critical area, this study represents an important step
towards the implementation of conservation measures for this population.
DOI: 10.15468/dl.k9b8ur
title: Occurrence Download

description: A dataset containing 457 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "TaxonKey is Abies pinsapo"
 ]
}

 The dataset includes 457 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000968-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17487246
title: Temperature effect on the luminescence properties of g-C3N4 photocatalytic semiconductor

description: Fig. 2: XRD patterns of g-C3N4 samples.
DOI: 10.5281/zenodo.17487247
title: Temperature effect on the luminescence properties of g-C3N4 photocatalytic semiconductor

description: Fig. 2: XRD patterns of g-C3N4 samples.
DOI: 10.5281/zenodo.15297826
title: test
DOI: 10.21227/re5p-0188
title: "Robust pavement planar coefficients estimation from LiDAR point clouds"

description: "Pavement planar coefficients are critical for a wide range of civil engineering applications, including 3D city modeling, extraction of pavement design parameters, and assessment of pavement conditions. However, existing plane fitting methods often struggle to maintain accuracy and stability in complex road environments, particularly when the point cloud is affected by non-pavement objects such as trees, curbstones, pedestrians, and vehicles. This paper presents REoPC, a robust two-stage estimation method based on road point clouds acquired using hybrid solid-state LiDAR. The approach consists of two main parts: coarse estimation and refined estimation. Part I develops a dual-plane sliding window to filter out major outliers and extract a coarse plane. Part II constructs a new cost function based on the Geman-McClure function to further mitigate residual noise and reduce fitting instability caused by outlier influence and algorithmic randomness. REoPC is evaluated on both synthetic and real-world datasets under diverse conditions. In addition to outperforming mainstream methods in accuracy and robustness across both typical and challenging scenarios, REoPC also demonstrates low sensitivity to parameter variations, highlighting its practical reliability across a broad range of operating conditions."
DOI: 10.15468/dl.ktf5pc
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Réunion",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Psidium cattleianum Afzel. ex Sabine, Psidium cattleianum var. cattleianum)",
 "Year 1990-1990"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004209-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-es-2065594706
title: X-ray in situ viscosimetry of nanolites-bearing volcanic melts

description: We aim to explore the viscosity of anhydrous hydrous volcanic melts to constrain the impact of nanolite formation on magma transport under volcanic pressure conditions. We will use the falling sphere technique at the ID27 beamline combining a Paris–Edinburgh cell with X-ray radiography. Our results will also refine viscosity models, adding a crucial temporal dimension tied to nanolite formation.
DOI: 10.15156/bio/sh0172466.10fu
title: SH0172466.10FU

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/sh0172467.10fu
title: SH0172467.10FU

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/sh0172468.10fu
title: SH0172468.10FU

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/sh0172469.10fu
title: SH0172469.10FU

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/sh0172470.10fu
title: SH0172470.10FU

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/sh0172471.10fu
title: SH0172471.10FU

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/sh0172472.10fu
title: SH0172472.10FU

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.