cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18150/6cv7rs
title: Mean-variance data collections for multiperiod portfolio optimization problems

description: Mean-variance data collections for portfolio optimization problems based on time series of daily stock prices for New York stock exchange. These data collections can be used for investment portfolio optimization research.NYSE includes over 2000 stocks. These data includes randomly selected sets of size equal to 200, 300, 400, 500, 600, 700, 800 and 900. Each set include the succesive yearly data from 2014, 2015, 2016, 2017, 2018, and 2019 grouped in a single folder. While each folder includes the data saved in a text file following the format used by J. E. Beasley in OR Library (http://people.brunel.ac.uk/~mastjjb/jeb/orlib/portinfo.html).Example structure of files in the 200 set is presented below:- 2014  + JKMP2_200_2014_1  + JKMP2_200_2014_2  + JKMP2_200_2014_3  ...  + JKMP2_200_2014_12- 2015  + JKMP2_200_2015_1  + JKMP2_200_2015_2  + JKMP2_200_2015_3  ...  + JKMP2_200_2015_12- 2016  + JKMP2_200_2016_1  + JKMP2_200_2016_2  + JKMP2_200_2016_3  ...  + JKMP2_200_2016_12- 2017  + JKMP2_200_2017_1  + JKMP2_200_2017_2  + JKMP2_200_2017_3  ...  + JKMP2_200_2017_12- 2018  + JKMP2_200_2018_1  + JKMP2_200_2018_2  + JKMP2_200_2018_3  ...  + JKMP2_200_2018_12- 2019  + JKMP2_200_2019_1  + JKMP2_200_2019_2  + JKMP2_200_2019_3  ...  + JKMP2_200_2019_12A detailed description of the data collections can be found in the README file of the dataset. For each set of stocks, we estimated the correlation matrix and the vector of mean returns, based on the corresponding time series.
DOI: 10.5517/ccdc.csd.cc2fxrx1
title: CCDC 2261974: Experimental Crystal Structure Determination

description: Related Article: Annia Tubau, Saskia Speed, Merce Font-Bardia, Ramon Vicente|2023|CSD Communication|||
description: Related Article: Ànnia Tubau, Silvia Gómez-Coca, Saskia Speed, Mercè Font-Bardía, Ramon Vicente|2024|Dalton Trans.|53|9387|doi:10.1039/D4DT00848K
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.cc2gqdvg
title: CCDC 2285656: Experimental Crystal Structure Determination

description: Related Article: Jian Zhang|2023|CSD Communication|||
description: Related Article: Tao Zhang, Cheng Zhang, Xiunan Lu, Chengxing Peng, Yawei Zhang, Xiong Zhu, Guofu Zhong, Jian Zhang|2024|Org.Biomol.Chem.|22|466|doi:10.1039/D3OB01699D
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.cc2grydl
title: CCDC 2287130: Experimental Crystal Structure Determination

description: Related Article: Kent O. Kirlikovali, Alejandra Gómez-Torres, Arturo Sauza-de la Vega, Andrea Darù, Matthew D. Krzyaniak, Palak Garg, Christos D. Malliakas, Michael R. Wasielewski, Laura Gagliardi, Omar K. Farha|2025|Inorg.Chem.|64|4749|doi:10.1021/acs.inorgchem.4c04431
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.jr5xf3
title: Occurrence Download

description: A dataset containing 42 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'NA'
 AND occurrence.datasetkey IN ('d0963cee-1a29-47a2-b9bf-fb0e7690077c', 'e053ff53-c156-4e2e-b9b5-4462e9625424', 'cd6e21c8-9e8a-493a-8a76-fbf7862069e5')
 AND (occurrence.taxonkey = 5660676 OR occurrence.acceptedtaxonkey = 5660676 OR occurrence.kingdomkey = 5660676 OR occurrence.phylumkey = 5660676 OR occurrence.classkey = 5660676 OR occurrence.orderkey = 5660676 OR occurrence.familykey = 5660676 OR occurrence.genuskey = 5660676 OR occurrence.specieskey = 5660676)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 42 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005391-250325103851331/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.cc2gryck
title: CCDC 2287129: Experimental Crystal Structure Determination

description: Related Article: Kent O. Kirlikovali, Alejandra Gómez-Torres, Arturo Sauza-de la Vega, Andrea Darù, Matthew D. Krzyaniak, Palak Garg, Christos D. Malliakas, Michael R. Wasielewski, Laura Gagliardi, Omar K. Farha|2025|Inorg.Chem.|64|4749|doi:10.1021/acs.inorgchem.4c04431
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.cc2h7nt7
title: CCDC 2301279: Experimental Crystal Structure Determination

description: Related Article: Yan-Ling Ji, Hong Wang, Xiang-Hong He, Junchao Zhu, Cheng Peng, Qian Zhao, Gu Zhan, Bo Han|2025|Org.Lett.|27|2352|doi:10.1021/acs.orglett.5c00129
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.cc2hwm9b
title: CCDC 2320452: Experimental Crystal Structure Determination

description: Related Article: Yan-Ling Ji, Hong Wang, Xiang-Hong He, Junchao Zhu, Cheng Peng, Qian Zhao, Gu Zhan, Bo Han|2025|Org.Lett.|27|2352|doi:10.1021/acs.orglett.5c00129
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.cc2hl53d
title: CCDC 2311363: Experimental Crystal Structure Determination

description: Related Article: Ibrahim Waziri, Monsuru T. Kelani, Mariam O. Oyedeji-Amusa, Abel K. Oyebamiji, Louis-Charl C. Coetzee, Alfred J. Muller|2024|Heliyon|10|e26632|doi:10.1016/j.heliyon.2024.e26632
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.cc2k8dz7
title: CCDC 2361579: Experimental Crystal Structure Determination

description: Related Article: Irina V. Ershova, Svetlana V. Baryshnikova, Maxim V. Arsenyev, Alexey A. Belikov, Ilya A. Yakushev, Pavel V. Dorovatovskii, Vasily A. Ilichev, Sergey Yu. Ketkov, Alexandr V. Piskunov|2025|New J.Chem.|49|4933|doi:10.1039/D4NJ04755A
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.cc2k8f09
title: CCDC 2361580: Experimental Crystal Structure Determination

description: Related Article: Irina V. Ershova, Svetlana V. Baryshnikova, Maxim V. Arsenyev, Alexey A. Belikov, Ilya A. Yakushev, Pavel V. Dorovatovskii, Vasily A. Ilichev, Sergey Yu. Ketkov, Alexandr V. Piskunov|2025|New J.Chem.|49|4933|doi:10.1039/D4NJ04755A
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.cc2k8f1b
title: CCDC 2361581: Experimental Crystal Structure Determination

description: Related Article: Irina V. Ershova, Svetlana V. Baryshnikova, Maxim V. Arsenyev, Alexey A. Belikov, Ilya A. Yakushev, Pavel V. Dorovatovskii, Vasily A. Ilichev, Sergey Yu. Ketkov, Alexandr V. Piskunov|2025|New J.Chem.|49|4933|doi:10.1039/D4NJ04755A
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.cc2kcjyf
title: CCDC 2364585: Experimental Crystal Structure Determination

description: Related Article: Guoen Wen, Shuo Gu, Jie Chen, Haibing He, Shuanhu Gao|2025|Org.Lett.|27|2310|doi:10.1021/acs.orglett.4c04662
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.cc2kck1k
title: CCDC 2364588: Experimental Crystal Structure Determination

description: Related Article: Guoen Wen, Shuo Gu, Jie Chen, Haibing He, Shuanhu Gao|2025|Org.Lett.|27|2310|doi:10.1021/acs.orglett.4c04662
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.cc2kck7r
title: CCDC 2364594: Experimental Crystal Structure Determination

description: Related Article: Guoen Wen, Shuo Gu, Jie Chen, Haibing He, Shuanhu Gao|2025|Org.Lett.|27|2310|doi:10.1021/acs.orglett.4c04662
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.cc2kcw94
title: CCDC 2364906: Experimental Crystal Structure Determination

description: Related Article: Guoen Wen, Shuo Gu, Jie Chen, Haibing He, Shuanhu Gao|2025|Org.Lett.|27|2310|doi:10.1021/acs.orglett.4c04662
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.cc2kv1s8
title: CCDC 2378530: Experimental Crystal Structure Determination

description: Related Article: Ben Clarke, Rebecca Wales, Joshua Oates, Paul G. Waddell, Andrew C. Benniston |2024|Chem. Sel.|9|e202403989|doi:10.1002/slct.202403989
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.xqk3j5
title: Occurrence Download

description: A dataset containing 261674 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coenonympha pamphilus (Linnaeus, 1758)",
 "Year is greater than or equal to 1995",
 "Year is less than or equal to 2025",
 "DecimalLongitude is greater than or equal to 6",
 "DecimalLongitude is less than or equal to 13",
 "DecimalLatitude is greater than or equal to 38",
 "DecimalLatitude is less than or equal to 57"
 ]
}

 The dataset includes 261674 records from 581 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005389-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive150757.20230509.8.1
title: Campylobacter gracilis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive150757.20251217.10
title: Campylobacter gracilis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0138499.10fu
title: SH0138499.10FU

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: 10.13145/bacdive150758.20241212.9.2
title: Corynebacterium imitans

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive150758.20251217.10
title: Corynebacterium imitans

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0138500.10fu
title: SH0138500.10FU

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: 10.13145/bacdive150759.20241212.9.2
title: Shigella sonnei

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0138501.10fu
title: SH0138501.10FU

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: 10.13145/bacdive150759.20251217.10
title: Shigella sonnei

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive150760.20241212.9.2
title: Streptococcus ovis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0138502.10fu
title: SH0138502.10FU

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: 10.13145/bacdive150760.20251217.10
title: Streptococcus ovis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive150761.20241212.9.2
title: Actinomyces graevenitzii

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive150761.20251217.10
title: Actinomyces graevenitzii

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive150762.20241212.9.2
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0138503.10fu
title: SH0138503.10FU

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: 10.13145/bacdive150762.20251217.10
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive150763.20241212.9.2
title: Haemophilus parahaemolyticus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.