cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25381/cput.27682518.v1
title: A sustainable information system framework for the adoption of a smart water meter system

description: <b>Ethical clearance reference number: 213073579/2022/3</b>Despite facing several challenges, water utility providers continue to use 'traditional, manual, or analogue water management solutions. This study explored the reasons why water institutions in Nigeria fail to adopt an IoT-based Smart Water Meter System (SWMS) to improve the efficiency of water management for a sustainable future. The study sought to identify factors influencing the adoption of a SWMS, people’s perceptions about adopting a SWMS, how institutions can adopt a SWMS as part of their water management method, the role of government in facilitating and engaging water institutions to use a SWMS, existing practical evidence on the adoption of a SWMS by water utilities, smart water application technologies for water management, and what framework can be developed to adopt a SWMS.Two main constructs (anonymity and confidentiality) were applied to protect the identities and interests of both the firm and the subjects. Therefore, a pseudonym (fake or false name) was used where possible throughout in the study to maintain the subjects’/institution’s anonymity.
DOI: 10.25381/cput.27726288
title: The design and kinematic modelling of a novel single-sensor three-dimensional coordinate measuring machine

description: 2021FEBEREC-STD-042 The data attached includes: (1). The data attached includes: (1). The mirror out of squareness of the machine before and after the calibration. The mirror out of squareness deviation is the primary error of the measurement results, hence it must be established for compensation purposes. It considers the deviation/comparison with the theoretically established mirror axis. Before the calibration the ten samples were taken for x, y, and z translations and the Monte Carlo simulation was employed to generate 20 000 samples, and the standards deviation of the error/out of squareness included 0.233mm, 0.232mm, and 0.021mm respectively. However, after the calibration the standard deviation on respective axis was 0.013mm, 0.027mm, and 0.029mm. (2) Includes the measurement the repeatability of the machine and the measurement results. The machine was translated 50mm in either axis and the standard deviation was 0.047mm, 0.050mm and 0.023mm in x, y, and z axis. Further the data includes the gauge block measurements of 24mm x 24mm x 8mm in x, y and z axis, and the standard deviation was 0.012mm, 0.012mm, and 0.018mm respectively.
DOI: 10.25381/cput.27726288.v1
title: The design and kinematic modelling of a novel single-sensor three-dimensional coordinate measuring machine

description: 2021FEBEREC-STD-042 The data attached includes: (1). The data attached includes: (1). The mirror out of squareness of the machine before and after the calibration. The mirror out of squareness deviation is the primary error of the measurement results, hence it must be established for compensation purposes. It considers the deviation/comparison with the theoretically established mirror axis. Before the calibration the ten samples were taken for x, y, and z translations and the Monte Carlo simulation was employed to generate 20 000 samples, and the standards deviation of the error/out of squareness included 0.233mm, 0.232mm, and 0.021mm respectively. However, after the calibration the standard deviation on respective axis was 0.013mm, 0.027mm, and 0.029mm. (2) Includes the measurement the repeatability of the machine and the measurement results. The machine was translated 50mm in either axis and the standard deviation was 0.047mm, 0.050mm and 0.023mm in x, y, and z axis. Further the data includes the gauge block measurements of 24mm x 24mm x 8mm in x, y and z axis, and the standard deviation was 0.012mm, 0.012mm, and 0.018mm respectively.
DOI: 10.15468/dl.3m6pae
title: Occurrence Download

description: A dataset containing 247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Equus przewalskii Poliakov, 1881"
 ]
}

 The dataset includes 247 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001906-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4423rj
title: Occurrence Download

description: A dataset containing 885 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Country is Thailand",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 885 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001907-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5awmjf
title: Occurrence Download

description: A dataset containing 317 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allium carolinianum DC."
 ]
}

 The dataset includes 317 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001909-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6z4cmf
title: Occurrence Download

description: A dataset containing 2227 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"COUNTRY","value":"ZA","matchCase":false},{"type":"equals","key":"BASIS_OF_RECORD","value":"PRESERVED SPECIMEN","matchCase":false},{"type":"equals","key":"TAXON_KEY","value":"3166388","matchCase":false}]}

 The dataset includes 2227 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001908-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2g4qly
title: CCDC 2268660: Experimental Crystal Structure Determination

description: Related Article: Shu-Yi Li, Ying-Ying Xue, Jia-Wen Wang, Hai-Peng Li, Jiao Lei, Hong-Juan Lv, Xianhui Bu, Peng Zhang, Ying Wang, Wen-Yu Yuan, Quan-Guo Zhai|2024|Chemical Science|15|17547|doi:10.1039/D4SC04387A
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: 10.5284/1124435
title: Images from an Archaeological and Geoarchaeological Evaluation by Trial Trenching at 6 Nelson Road, Clacton-on-Sea, Essex, January 2020

description: This collection comprises of site photographs from an archaeological and geoarchaeological evaluation by trial-trenching carried out by Colchester Archaeological Trust at 6 Nelson Road, Clacton-on-Sea, Essex during January 2020.
DOI: 10.5517/ccdc.csd.cc2k2kbk
title: CCDC 2355948: Experimental Crystal Structure Determination

description: Related Article: Yang Chen, Smruti Ranjan Sahoo, Glib V. Baryshnikov, Lei Gao, Zhijia Zhu, Hongwei Wu|2024|Phys.Chem.Chem.Phys.(PCCP)|26|26816|doi:10.1039/D4CP03297G
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.cc2k2kcl
title: CCDC 2355949: Experimental Crystal Structure Determination

description: Related Article: Yang Chen, Smruti Ranjan Sahoo, Glib V. Baryshnikov, Lei Gao, Zhijia Zhu, Hongwei Wu|2024|Phys.Chem.Chem.Phys.(PCCP)|26|26816|doi:10.1039/D4CP03297G
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.cc2k3px9
title: CCDC 2357051: Experimental Crystal Structure Determination

description: Related Article: Sabyasachi Sarkar, Chang-Quan Wu, Santanu Manna, Deepannita Samanta, Peter P.-Y. Chen, Sankar Prasad Rath|2024|Chemical Science|15|17407|doi:10.1039/D4SC05432F
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.cc2k3pyb
title: CCDC 2357052: Experimental Crystal Structure Determination

description: Related Article: Sabyasachi Sarkar, Chang-Quan Wu, Santanu Manna, Deepannita Samanta, Peter P.-Y. Chen, Sankar Prasad Rath|2024|Chemical Science|15|17407|doi:10.1039/D4SC05432F
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.cc2k3pzc
title: CCDC 2357053: Experimental Crystal Structure Determination

description: Related Article: Sabyasachi Sarkar, Chang-Quan Wu, Santanu Manna, Deepannita Samanta, Peter P.-Y. Chen, Sankar Prasad Rath|2024|Chemical Science|15|17407|doi:10.1039/D4SC05432F
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: 10.15468/dl.npjnke
title: Occurrence Download

description: A dataset containing 55658 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chromolaena odorata (L.) R.M.King & H.Rob."
 ]
}

 The dataset includes 55658 records from 537 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001913-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sbwgtb
title: Occurrence Download

description: A dataset containing 252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Country is Puerto Rico",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 252 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001915-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mb2svj
title: Occurrence Download

description: A dataset containing 824 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allium obliquum L."
 ]
}

 The dataset includes 824 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001914-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23708/klqmsr
title: Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022

description: This dataset is the result of a publication that explores calibration strategies and operational implications of 1D hydrodynamic modeling using the Mage code in the Saigon-Dongnai system in Vietnam. Three calibration approaches for the Mage model are evaluated, and coupling with the Modified Manning-Strickler (MMS) equation is explored for discharge estimation enhancement. Calibration efforts reveal distinct trends in friction coefficients along the river, with the introduction of indirectly measured discharge data significantly improving model performance, particularly for the Saigon River branch. This model output has been validated against independent measurements and demonstrates promising results, with the MMS coupling providing improved discharge estimates in the Saigon branch. The long time-series of water level and discharge (January 2016 to December 2022) provided in this dataset have practical implications for water resource management and decision-making in estuarine systems and is provided here in open-access for operational use.
DOI: 10.15468/dl.78yusj
title: Occurrence Download

description: A dataset containing 907 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Attalea allenii H.E.Moore",
 "HasCoordinate is true"
 ]
}

 The dataset includes 907 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001916-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0211641.10fu
title: SH0211641.10FU

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/sh0211642.10fu
title: SH0211642.10FU

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/sh0211643.10fu
title: SH0211643.10FU

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/sh0211644.10fu
title: SH0211644.10FU

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/sh0211645.10fu
title: SH0211645.10FU

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/sh0211646.10fu
title: SH0211646.10FU

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/sh0211647.10fu
title: SH0211647.10FU

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/sh0211648.10fu
title: SH0211648.10FU

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/sh0211649.10fu
title: SH0211649.10FU

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.