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

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((78.311916 20.177044, 78.237092 20.171468, 78.164125 20.154878, 78.094827 20.127686, 78.03091499999999 20.090566, 77.97396999999999 20.04444, 77.92539499999999 19.99045, 77.886385 19.929932, 77.85789200000001 19.864384, 77.84060700000001 19.795424, 77.834943 19.724753, 77.841022 19.654113, 77.85868000000001 19.585242, 77.887469 19.519831, 77.92667 19.459488, 77.97530999999999 19.40569, 78.03219 19.359756, 78.095911 19.322811, 78.164913 19.295756, 78.237506 19.279255, 78.311916 19.273709, 78.386326 19.279255, 78.45891899999999 19.295756, 78.52792100000001 19.322811, 78.59164199999999 19.359756, 78.648522 19.40569, 78.69716200000001 19.459488, 78.736363 19.519831, 78.765152 19.585242, 78.78281 19.654113, 78.788889 19.724753, 78.783225 19.795424, 78.76594 19.864384, 78.737447 19.929932, 78.698437 19.99045, 78.649862 20.04444, 78.592917 20.090566, 78.529005 20.127686, 78.45970699999999 20.154878, 78.38674 20.171468, 78.311916 20.177044))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001945-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0190550.10fu
title: SH0190550.10FU

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/sh0190551.10fu
title: SH0190551.10FU

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/sh0190552.10fu
title: SH0190552.10FU

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/sh0190553.10fu
title: SH0190553.10FU

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/sh0190554.10fu
title: SH0190554.10FU

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/sh0190555.10fu
title: SH0190555.10FU

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/sh0190556.10fu
title: SH0190556.10FU

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/sh0190557.10fu
title: SH0190557.10FU

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/sh0190558.10fu
title: SH0190558.10FU

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: 10.5517/ccsfkf5
title: CCDC 728017: Experimental Crystal Structure Determination

description: Related Article: K.Takanashi, V.Y.Lee, A.Sekiguchi|2009|Organometallics|28|1248|doi:10.1021/om801128h
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/ccsfkg6
title: CCDC 728018: Experimental Crystal Structure Determination

description: Related Article: K.Takanashi, V.Y.Lee, A.Sekiguchi|2009|Organometallics|28|1248|doi:10.1021/om801128h
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.2.2.18233.90721
title: Influence of Chemical Heterogeneity and Third Body on Adhesive Strength Experiment and Simulation (Video 7).AVI
DOI: 10.5517/ccrr3rb
title: CCDC 707412: Experimental Crystal Structure Determination

description: Related Article: D.M.Lyubov, G.K.Fukin, A.V.Cherkasov, A.S.Shavyrin, A.A.Trifonov, L.Luconi, C.Bianchini, A.Meli, G.Giambastiani|2009|Organometallics|28|1227|doi:10.1021/om801044h
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/ccrr3sc
title: CCDC 707413: Experimental Crystal Structure Determination

description: Related Article: D.M.Lyubov, G.K.Fukin, A.V.Cherkasov, A.S.Shavyrin, A.A.Trifonov, L.Luconi, C.Bianchini, A.Meli, G.Giambastiani|2009|Organometallics|28|1227|doi:10.1021/om801044h
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/ccsfb2l
title: CCDC 727789: Experimental Crystal Structure Determination

description: Related Article: K.A.Grice, K.I.Goldberg|2009|Organometallics|28|953|doi:10.1021/om8011272
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/ccsfb3m
title: CCDC 727790: Experimental Crystal Structure Determination

description: Related Article: K.A.Grice, K.I.Goldberg|2009|Organometallics|28|953|doi:10.1021/om8011272
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: 10.11583/dtu.30157396
title: X-ray diffraction analysis of clay minerals for brick clay, danish yellow and red brick clay

description: X-ray diffraction (XRD) analysis was carried out with a PanAnalytical X’Pert PRO (CuKα radiation), wavelength of 1.54 Å, with operation settings 45 kV and 40 mA. Clay minerals in brick clay were identified using the glass slide method [44] on dried clay paste (&lt; 2 μm). The brick clay was prepared through the following steps: 200 g of brick clay, without sand additives, was first dried at 40°C (for 7 days). CaCO3 was removed by mixing brick clay with 2 M acetic acid and left for 24 hours. The acetic acid was washed away with distilled water, and the samples were centrifuged (3000 rpm for 10 min), then dried for three days at 60°C. 20 g of brick clay was then mixed with 200 ml of 0.002M Na-pyrophosphate and rotated for 18 h. The samples were placed in an ultrasound for 15 min, then wet sieved through a 63 μm sieve. The fraction &lt; 63 μm was transferred to an Andreasen pipette and filled with 0.002M Na-pyrophosphate, up to 20 cm. The Andrease pipette was shaken, and the slurry was left for 16.5h. After 16.5h, the top 20 cm, now containing the clay paste fraction (&lt;2μm), was retained, and the excess water was removed by centrifugation (3000 rpm, 20 min). The clay paste was dried at room temperature in a fume cupboard. When dried, 0.03 g of the sample was mixed with 1.5 ml of distilled water and applied to a glass plate with a Pasteur pipette and left at room temperature until completely dry. The XRD measurements were performed on the dried sample, at four different conditions: 1) The glass plates were saturated with water; 2) saturated with ethylene glycol for a minimum of 2 days at 60°C; 3) ignited at 350°C for 2 h; 4) ignited at 550°C for 2 h. Before each measurement, the samples were cooled down to room temperature. The measurements were conducted by using the following programs: 1) Water saturated sample were measured between 2θ = 3-65°, with a slit of 15mm, step size 2θ = 2°, measuring time 21 min; 2) Ethylene glycolate sample: 2θ = 3-40°, 10mm, 2θ = 2°, time = 13 min; 3-4) Ignited samples: 2θ = 3-40°, 10mm, 2θ = 2°, time = 13 min
DOI: 10.11583/dtu.30157396.v1
title: X-ray diffraction analysis of clay minerals for brick clay, danish yellow and red brick clay

description: X-ray diffraction (XRD) analysis was carried out with a PanAnalytical X’Pert PRO (CuKα radiation), wavelength of 1.54 Å, with operation settings 45 kV and 40 mA. Clay minerals in brick clay were identified using the glass slide method [44] on dried clay paste (&lt; 2 μm). The brick clay was prepared through the following steps: 200 g of brick clay, without sand additives, was first dried at 40°C (for 7 days). CaCO3 was removed by mixing brick clay with 2 M acetic acid and left for 24 hours. The acetic acid was washed away with distilled water, and the samples were centrifuged (3000 rpm for 10 min), then dried for three days at 60°C. 20 g of brick clay was then mixed with 200 ml of 0.002M Na-pyrophosphate and rotated for 18 h. The samples were placed in an ultrasound for 15 min, then wet sieved through a 63 μm sieve. The fraction &lt; 63 μm was transferred to an Andreasen pipette and filled with 0.002M Na-pyrophosphate, up to 20 cm. The Andrease pipette was shaken, and the slurry was left for 16.5h. After 16.5h, the top 20 cm, now containing the clay paste fraction (&lt;2μm), was retained, and the excess water was removed by centrifugation (3000 rpm, 20 min). The clay paste was dried at room temperature in a fume cupboard. When dried, 0.03 g of the sample was mixed with 1.5 ml of distilled water and applied to a glass plate with a Pasteur pipette and left at room temperature until completely dry. The XRD measurements were performed on the dried sample, at four different conditions: 1) The glass plates were saturated with water; 2) saturated with ethylene glycol for a minimum of 2 days at 60°C; 3) ignited at 350°C for 2 h; 4) ignited at 550°C for 2 h. Before each measurement, the samples were cooled down to room temperature. The measurements were conducted by using the following programs: 1) Water saturated sample were measured between 2θ = 3-65°, with a slit of 15mm, step size 2θ = 2°, measuring time 21 min; 2) Ethylene glycolate sample: 2θ = 3-40°, 10mm, 2θ = 2°, time = 13 min; 3-4) Ignited samples: 2θ = 3-40°, 10mm, 2θ = 2°, time = 13 min
DOI: 10.5517/ccrwlry
title: CCDC 711721: Experimental Crystal Structure Determination

description: Related Article: M.Ranocchiari, A.Mezzetti|2009|Organometallics|28|1286|doi:10.1021/om900028w
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/ccsfb4n
title: CCDC 727791: Experimental Crystal Structure Determination

description: Related Article: K.A.Grice, K.I.Goldberg|2009|Organometallics|28|953|doi:10.1021/om8011272
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/ccrwlsz
title: CCDC 711722: Experimental Crystal Structure Determination

description: Related Article: M.Ranocchiari, A.Mezzetti|2009|Organometallics|28|1286|doi:10.1021/om900028w
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/ccrwlt0
title: CCDC 711723: Experimental Crystal Structure Determination

description: Related Article: M.Ranocchiari, A.Mezzetti|2009|Organometallics|28|1286|doi:10.1021/om900028w
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/ccsg2fq
title: CCDC 728513: Experimental Crystal Structure Determination

description: Related Article: C.A.Wheaton, B.J.Ireland, P.G.Hayes|2009|Organometallics|28|1282|doi:10.1021/om801034k
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/ccsg2gr
title: CCDC 728514: Experimental Crystal Structure Determination

description: Related Article: C.A.Wheaton, B.J.Ireland, P.G.Hayes|2009|Organometallics|28|1282|doi:10.1021/om801034k
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.