cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.2613878
title: Simulations of urban heat island effect in Paris Region during various types of heatwaves, and in different adaptation scenarios

description: <strong>Content</strong><br>
- These data present air temperature, in the shade, 2m above grounds in Paris Region (projection: RGF93/Lambert 93, EPSG:2154) at different times of the day, for various heat waves conditions, and in different prospective scenarios for the built-up evolution and adaptation actions implementations.<br>
- more information can be found here : https://www.umr-cnrm.fr/ville.climat/spip.php?rubrique45

<strong>Classification of the data</strong><br>
- the first 5 letters (e.g. "CDFFA") present the prospective scenario<br>
- the 4 following letters (e.g. "HW34") present the type of heat wave<br>
- the following 2 letters (e.g. "D8") present the length of the heat wave (number of days after the beginning of the heat wave)<br>
- the final letters (e.g. H15) represent the time (UTC : one hour should be added for French time) of the day

<strong>Prospective scenarios</strong><br>
- the first letter is always C<br>
- the second letter represents the expansion scenario. They are presented here : Lemonsu, A., Viguié, V., Daniel, M., Masson, V., 2015. Vulnerability to heat waves: Impact of urban expansion scenarios on urban heat island and heat stress in Paris (France). Urban Climate 14, 586–605.<br>
  - D stands for "dense development"<br>
  - F for business as usual scenario ("fil de l'eau" in French)<br>
  - V for a scenario with 10% more parks<br>
- the third letter represents the building evolution scenario<br>
  - F stands for business as usual scenario<br>
  - V for a scenario with more insulation and reflective roofs<br>
- the third letter represents AC use<br>
  - F stands for strong AC use<br>
  - M for moderate AC use<br>
  - N for no AC use<br>
- the fourth letter represents vegetation watering<br>
  - N stands for no watering<br>
  - A for watering

<strong>Heat waves</strong><br>
- the figure (e.g. "34" in "HW34") represents the intensity class, in °C of the heat wave. It is more precisely the maximum daily temperature observed without the impact of the urban heat island effect. (Tmax=34, 38, 42, or 46°C).

<strong>Other information</strong><br>
- see the file "aggregated data.xls" for more information and data about energy consumption for AC, and averages of temperatures in the city over the entire day.
DOI: 10.5281/zenodo.2613879
title: Simulations of urban heat island effect in Paris Region during various types of heatwaves, and in different adaptation scenarios

description: <strong>Content</strong><br>
- These data present air temperature, in the shade, 2m above grounds in Paris Region (projection: RGF93/Lambert 93, EPSG:2154) at different times of the day, for various heat waves conditions, and in different prospective scenarios for the built-up evolution and adaptation actions implementations.<br>
- more information can be found here : https://www.umr-cnrm.fr/ville.climat/spip.php?rubrique45

<strong>Classification of the data</strong><br>
- the first 5 letters (e.g. "CDFFA") present the prospective scenario<br>
- the 4 following letters (e.g. "HW34") present the type of heat wave<br>
- the following 2 letters (e.g. "D8") present the length of the heat wave (number of days after the beginning of the heat wave)<br>
- the final letters (e.g. H15) represent the time (UTC : one hour should be added for French time) of the day

<strong>Prospective scenarios</strong><br>
- the first letter is always C<br>
- the second letter represents the expansion scenario. They are presented here : Lemonsu, A., Viguié, V., Daniel, M., Masson, V., 2015. Vulnerability to heat waves: Impact of urban expansion scenarios on urban heat island and heat stress in Paris (France). Urban Climate 14, 586–605.<br>
  - D stands for "dense development"<br>
  - F for business as usual scenario ("fil de l'eau" in French)<br>
  - V for a scenario with 10% more parks<br>
- the third letter represents the building evolution scenario<br>
  - F stands for business as usual scenario<br>
  - V for a scenario with more insulation and reflective roofs<br>
- the third letter represents AC use<br>
  - F stands for strong AC use<br>
  - M for moderate AC use<br>
  - N for no AC use<br>
- the fourth letter represents vegetation watering<br>
  - N stands for no watering<br>
  - A for watering

<strong>Heat waves</strong><br>
- the figure (e.g. "34" in "HW34") represents the intensity class, in °C of the heat wave. It is more precisely the maximum daily temperature observed without the impact of the urban heat island effect. (Tmax=34, 38, 42, or 46°C).

<strong>Other information</strong><br>
- see the file "aggregated data.xls" for more information and data about energy consumption for AC, and averages of temperatures in the city over the entire day.
DOI: 10.14469/hpc/5239
title: 13a Benzyl 4-(4-chlorophenyl)-4-(4-hydroxy-3-methylphenyl)piperidine-1-carboxylate

description: Characterization data for compound 13a Benzyl 4-(4-chlorophenyl)-4-(4-hydroxy-3-methylphenyl)piperidine-1-carboxylate
DOI: 10.14469/hpc/5240
title: 13b Benzyl 4-(4-hydroxy-3-methylphenyl)-4-phenylpiperidine-1-carboxylate

description: Characterization data for compound 13b Benzyl 4-(4-hydroxy-3-methylphenyl)-4-phenylpiperidine-1-carboxylate
DOI: 10.14469/hpc/5241
title: 13c Benzyl 4-(3-hydroxy-4-methylphenyl)-4-(4-methoxyphenyl) piperidine-1-carboxylate

description: Characterization data for compound 13c Benzyl 4-(3-hydroxy-4-methylphenyl)-4-(4-methoxyphenyl) piperidine-1-carboxylate
DOI: 10.21227/q5f5-w853
title: multi focus image array

description: As a precision instrument the microscope is typicallyused by researchers in criminal investigation, informationforensic, biology, metallography, etc. However, the traditionalmicroscope has a dilemma that if it uses the higher magnification,its field of view will be smaller and its depth of field will bemore limited.We upgraded a vision measuring systemwith fully automatic numerical control system as an opticalmicroscope which is used to capture microscopic images.
DOI: 10.14469/hpc/5242
title: 22a Benzyl 4-(4-chlorophenyl)-4-(2,4-dimethoxyphenyl)piperidine-1-carboxylate

description: Characterization data for compound 22a Benzyl 4-(4-chlorophenyl)-4-(2,4-dimethoxyphenyl)piperidine-1-carboxylate
DOI: 10.14469/hpc/5243
title: 22b Benzyl 4-(2,4-dimethoxyphenyl)-4-phenylpiperidine-1-carboxylate

description: Characterization data for compound 22b Benzyl 4-(2,4-dimethoxyphenyl)-4-phenylpiperidine-1-carboxylate
DOI: 10.14469/hpc/5244
title: 22c Benzyl 4-(2,4-dimethoxyphenyl)-4-(4-methoxyphenyl)piperidine-1-carboxylate

description: Characterization data for compound 22c Benzyl 4-(2,4-dimethoxyphenyl)-4-(4-methoxyphenyl)piperidine-1-carboxylate
DOI: 10.14469/hpc/5246
title: 23 3-(2,4-Dimethoxyphenyl)-3-phenylpyrrolidine

description: Characterization data for compound 23 3-(2,4-Dimethoxyphenyl)-3-phenylpyrrolidine
DOI: 10.5517/ccdc.csd.cc1q0271
title: CCDC 1578992: Experimental Crystal Structure Determination

description: Related Article: Gurpreet Kaur, Matthew I. J. Polson, Richard M. Hartshorn|2019|J.Coord.Chem.|72|1013|doi:10.1080/00958972.2019.1580698
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.cc1q0bbd
title: CCDC 1579243: Experimental Crystal Structure Determination

description: Related Article: Gurpreet Kaur, Matthew I. J. Polson, Richard M. Hartshorn|2019|J.Coord.Chem.|72|1013|doi:10.1080/00958972.2019.1580698
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.cc1q0bcf
title: CCDC 1579244: Experimental Crystal Structure Determination

description: Related Article: Gurpreet Kaur, Matthew I. J. Polson, Richard M. Hartshorn|2019|J.Coord.Chem.|72|1013|doi:10.1080/00958972.2019.1580698
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: 10.14469/hpc/5247
title: 24 2-Methyl-4-(4-phenylpiperidin-4-yl)phenol

description: Characterization data for compound 24 2-methyl-4-(4-phenylpiperidin-4-yl)phenol
DOI: 10.14469/hpc/5249
title: 15a 3-(4-chlorophenyl)-2,5-dihydrofuran

description: Characterization data for compound 15a 3-(4-chlorophenyl)-2,5-dihydrofuran
DOI: 10.5517/ccdc.csd.cc1q0bdg
title: CCDC 1579245: Experimental Crystal Structure Determination

description: Related Article: Gurpreet Kaur, Matthew I. J. Polson, Richard M. Hartshorn|2019|J.Coord.Chem.|72|1013|doi:10.1080/00958972.2019.1580698
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.cc1q0bkm
title: CCDC 1579250: Experimental Crystal Structure Determination

description: Related Article: Gurpreet Kaur, Matthew I. J. Polson, Richard M. Hartshorn|2019|J.Coord.Chem.|72|1013|doi:10.1080/00958972.2019.1580698
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.cc1q0bnq
title: CCDC 1579253: Experimental Crystal Structure Determination

description: Related Article: Gurpreet Kaur, Matthew I. J. Polson, Richard M. Hartshorn|2019|J.Coord.Chem.|72|1013|doi:10.1080/00958972.2019.1580698
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.cc1q0bpr
title: CCDC 1579254: Experimental Crystal Structure Determination

description: Related Article: Gurpreet Kaur, Matthew I. J. Polson, Richard M. Hartshorn|2019|J.Coord.Chem.|72|1013|doi:10.1080/00958972.2019.1580698
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.cc1q0ks2
title: CCDC 1579474: Experimental Crystal Structure Determination

description: Related Article: Gurpreet Kaur, Matthew I. J. Polson, Richard M. Hartshorn|2019|J.Coord.Chem.|72|1013|doi:10.1080/00958972.2019.1580698
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.cc1qbt0w
title: CCDC 1589308: Experimental Crystal Structure Determination

description: Related Article: Qing-Qing Xiao, Dong Liu, Yue-Hua Li, Guang-Hua Cui|2019|Polyhedron|166|65|doi:10.1016/j.poly.2019.03.027
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: 10.14469/hpc/5250
title: 15b 3-Phenyl-2,5-dihydrofuran

description: Characterization data for compound 15b 3-Phenyl-2,5-dihydrofuran
DOI: 10.14469/hpc/5251
title: 16a 4-(4-Chlorophenyl)-3,6-dihydro-2H-pyran

description: Characterization data for compound 16a 4-(4-Chlorophenyl)-3,6-dihydro-2H-pyran
DOI: 10.15156/bio/sh0895186.10fu
title: SH0895186.10FU

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/sh0895187.10fu
title: SH0895187.10FU

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/sh0895188.10fu
title: SH0895188.10FU

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.ypyhu2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Trechus ravasinianus Lorenz, 1998",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0096981-240626123714530/datasets/export for details.
DOI: 10.15156/bio/sh0895189.10fu
title: SH0895189.10FU

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/sh0895190.10fu
title: SH0895190.10FU

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/sh0895191.10fu
title: SH0895191.10FU

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/sh0895192.10fu
title: SH0895192.10FU

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/sh0895193.10fu
title: SH0895193.10FU

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/sh0895194.10fu
title: SH0895194.10FU

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.