cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccy4dgx
title: CCDC 868169: Experimental Crystal Structure Determination

description: Related Article: Di Wu, Xueyuan Wang, Dongying Pang, Wei Su, Yan Sun|2012|Acta Crystallogr.,Sect.E:Struct.Rep.Online|68|o446|doi:10.1107/S1600536811054985
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/ccy4dhy
title: CCDC 868170: Experimental Crystal Structure Determination

description: Related Article: S.Sankari, P.Sugumar, T.Manisankar, S.Muthusubramanian, M.N.Ponnuswamy|2012|Acta Crystallogr.,Sect.E:Struct.Rep.Online|68|o447|doi:10.1107/S1600536811056017
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: 10.57745/9ybxxv
title: Indicateurs des séries annuelles issus des projections hydrologiques Explore2 pour le modèle SIM2 sous RCP 2.6

description: Indicateurs des séries annuelles issus des débits journaliers simulés par le modèle hydrologique SIM2 pour l'ensemble des projections climatiques Explore2 sous RCP 2.6. Ces fichiers résultent de l'agrégation temporelle des simulations hydrologiques sous runs historiques (avant 2005) et des projections hydrologiques (post 2005), fichiers NetCDF disponibles au téléchargement dans la collection Explore2 - Projections hydrologiques. Ce dépôt regroupe un tableau par indicateur et chaîne de simulation, c'est-à-dire, scénario d'émission RCP, couple GCM/RCM, correction de biais BC et modèle hydrologique HM. Ces données sont brutes et contiennent donc des chaînes de projections jugées aberrantes / horsains qu'il est possible de filtrer grâce à des métadonnées supplémentaires. Pour des raisons techniques, ces indicateurs sont regroupés par dossiers compressés selon les différentes phases du régime hydrologique. La description des chaines de modélisation du climat et celle des modèles hydrologiques sont, respectivement, disponibles dans le rapport https://doi.org/10.57745/PUR7ML et dans les annexes du rapport https://doi.org/10.57745/S6PQXD. Retrouvez le diagnostic des modèles hydrologiques résumé à l'échelle des régions hydrologiques dans les fiches téléchargeables ici : https://doi.org/10.57745/DMFUXW. Métadonnées supplémentaires : Récapitulatif de l'ensemble des indicateurs hydrologiques : https://doi.org/10.57745/JVNHQL Récapitulatif de l'ensemble des chaînes de simulation : https://doi.org/10.57745/R6HG5X Description de l'ensemble des points de simulation : https://doi.org/10.57745/UTKWR5 Liste des chaînes de modélisation jugées aberrantes / horsains : https://doi.org/10.57745/YZNENQ Récapitulatif des années pivots utilisées pour la TRACC : https://doi.org/10.57745/DCOQM6 Décomposition des chaînes de caractères formant le nom des fichiers parquet, séparées par des "_" : {1} Indicateur : Le nom de l’indicateur, du type de statistique calculée {2} Échantillonnage : Échantillonnage temporel sur laquelle est calculé l’indicateur → {1}_{2} Variable : Variable résultante d'un indicateur temporellement contextualisé {3} EXP : Identifiant de l’expérience historique (post 2005) ou future (post 2005) {4} GCM : Identifiant du GCM forçeur {5} RCM : Identifiant du RCM {6} BC : Identifiant de la méthode de correction de biais statistique {7} HM : Identifiant du modèle hydrologique Les colonnes des fichiers parquet sont : EXP : Voir ci-dessus GCM : Voir ci-dessus RCM : Voir ci-dessus BC : Voir ci-dessus HM : Voir ci-dessus code : Code à 10 caractères du point de simulation fourni dans la description des points de simulation date : Date du début de la période annuelle d'agrégation (i.e. 2042-05-01 indique que l'année hydrologique commence en mai, plus d'information dans les métadonnées de variable) *Variable* : Voir ci-dessus Retrouvez des scripts d'aide pour utiliser ces données parquet.
DOI: 10.5517/ccxf16k
title: CCDC 846678: Experimental Crystal Structure Determination

description: Related Article: Suyu Huang, Xiaoxun Li, C.L.Lin, I.A.Guzei, Weiping Tang|2012|Chem.Commun.|48|2204|doi:10.1039/c2cc17406e
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/ccxf8m6
title: CCDC 846908: Experimental Crystal Structure Determination

description: Related Article: I.Gridnev, E.Alberico, S.Gladiali|2012|Chem.Commun.|48|2186|doi:10.1039/c2cc17335b
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/ccxg2m1
title: CCDC 847683: Experimental Crystal Structure Determination

description: Related Article: C.Romain, B.Heinrich, S.B.Laponnaz, S.Dagorne|2012|Chem.Commun.|48|2213|doi:10.1039/c2cc16819g
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/ccxs0d2
title: CCDC 857224: Experimental Crystal Structure Determination

description: Related Article: Wenliang Huang, P.L.Diaconescu|2012|Chem.Commun.|48|2216|doi:10.1039/c2cc17638f
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/ccxs0f3
title: CCDC 857225: Experimental Crystal Structure Determination

description: Related Article: Wenliang Huang, P.L.Diaconescu|2012|Chem.Commun.|48|2216|doi:10.1039/c2cc17638f
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.2.2.34555.18726/1
title: My body was corrupted and desecrated with implants and by torture, but None have the ability to influance my thought. מאת אני הישות אמיר ב. כהנים (By I Amir B. Cohanim)
DOI: 10.15468/dl.q5d6t8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudosuccinea columella",
 "HasCoordinate is true",
 "Country is Namibia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047524-251009101135966/datasets/export for details.
DOI: 10.5517/ccxs0g4
title: CCDC 857226: Experimental Crystal Structure Determination

description: Related Article: Wenliang Huang, P.L.Diaconescu|2012|Chem.Commun.|48|2216|doi:10.1039/c2cc17638f
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/ccxs0h5
title: CCDC 857227: Experimental Crystal Structure Determination

description: Related Article: Wenliang Huang, P.L.Diaconescu|2012|Chem.Commun.|48|2216|doi:10.1039/c2cc17638f
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/ccxs0j6
title: CCDC 857228: Experimental Crystal Structure Determination

description: Related Article: Wenliang Huang, P.L.Diaconescu|2012|Chem.Commun.|48|2216|doi:10.1039/c2cc17638f
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/ccxmhnn
title: CCDC 852892: Experimental Crystal Structure Determination

description: Related Article: Xiangxiang Wu, Guoxing Liang, Gang Ji, Hoong-Kun Fun, Lan He, Bing Gong|2012|Chem.Commun.|48|2228|doi:10.1039/c2cc16912f
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/ccxmhpp
title: CCDC 852893: Experimental Crystal Structure Determination

description: Related Article: Xiangxiang Wu, Guoxing Liang, Gang Ji, Hoong-Kun Fun, Lan He, Bing Gong|2012|Chem.Commun.|48|2228|doi:10.1039/c2cc16912f
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.s73zxr
title: Occurrence Download

description: A dataset containing 429778 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen)",
 "Continent is Europe",
 "TaxonKey is Veronica officinalis",
 "Year 1950-2025"
 ]
}

 The dataset includes 429778 records from 1414 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047481-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-04.3087810/2554678
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3087812/2554679
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3087813/2554680
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3087814/2554681
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3087815/2554682
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3087816/2554683
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3087817/2554684
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3087818/2554685
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3087819/2554686
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3087820/2554687
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3087821/2554688
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3087822/2554689
title: Data for EMSL Project 51287 from April 2024
DOI: 10.15468/dl.g5yxm7
title: Occurrence Download

description: A dataset containing 220612 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 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 = 'CN'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2000 AND occurrence."year" &lt;= 2024)
 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.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 220612 records were derived from 2436 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020231-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive23548.20240510.9
title: Pelistega indica Prakash et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23549.20241212.9.2
title: Eoetvoesia caeni Felföldi et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23550.20241212.9.2
title: Alcanivorax sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23553.20241212.9.2
title: Effusibacillus lacus Watanabe et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23555.20241212.9.2
title: Alteromonas mediterranea Ivanova et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23556.20241212.9.2
title: Alteromonas mediterranea Ivanova et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23557.20241212.9.2
title: Alteromonas mediterranea Ivanova et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23560.20241212.9.2
title: Alteromonas mediterranea Ivanova et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23563.20241212.9.2
title: Alteromonas mediterranea Ivanova et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23565.20241212.9.2
title: Alteromonas mediterranea Ivanova et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23570.20241212.9.2
title: Alteromonas mediterranea Ivanova et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23575.20241212.9.2
title: Marinobacter persicus Bagheri et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23576.20241212.9.2
title: Halioglobus japonicus Park et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23577.20241212.9.2
title: Halioglobus pacificus Park et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23579.20241212.9.2
title: Aurantimonas sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23581.20241212.9.2
title: Aureimonas jatrophae Madhaiyan et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23583.20241212.9.2
title: Aureimonas phyllosphaerae Madhaiyan et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23584.20241212.9.2
title: Aureimonas phyllosphaerae Madhaiyan et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23585.20241212.9.2
title: Alkalibacillus almallahensis Pérez-Davó et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23586.20241212.9.2
title: Anoxybacillus calidus Cihan et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23602.20241212.9.2
title: Bacillus cereus Frankland and Frankland 1887

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23664.20241212.9.2
title: Bacillus sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23665.20241212.9.2
title: Bacillus massiliigorillae Keita et al. 2023

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23666.20241212.9.2
title: Shouchella shacheensis (Lei et al. 2014) Joshi et al. 2022

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23706.20241212.9.2
title: Bacillus velezensis Ruiz-García et al. 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.6084/m9.figshare.30977893
title: 无题作品

description: 基于滑坡评估因素，使用随机森林算法评估滑坡易感性
DOI: 10.6084/m9.figshare.30977893.v1
title: 无题作品

description: 基于滑坡评估因素，使用随机森林算法评估滑坡易感性
DOI: 10.6084/m9.figshare.30938995
title: Machine learning-assisted screening for canine Cushing’s syndrome

description: Cushing’s syndrome (CS) is a common endocrine disorder in dogs that can significantly impair their quality of life. Diagnosis is often challenging because of its variable clinical presentation, making it difficult to identify suitable candidates for further diagnostic tests. This study employed machine learning algorithms to assist in CS diagnosis using routinely available screening diagnostics, including complete blood count, serum chemistry panel, and urinalysis parameters such as urine specific gravity and urine protein-to-creatinine ratio. Data were collected from 153 control dogs initially suspected of CS but later excluded and 152 dogs with confirmed CS. A boosted tree algorithm (gradient boosting) was trained on 80% of the collected data, with the remaining 20% reserved for testing. The developed model demonstrated an accuracy of 88.5% [95% confidence interval (CI): 80.5–96.5%], a sensitivity of 83.3% (95% CI: 70.7–96.7%), a specificity of 93.5% (95% CI: 84.9–100%), and an area under the receiver operating characteristic curve of 0.912 (95% CI: 0.835–0.988), indicating excellent discriminatory ability. A user-friendly graphical interface was also developed to facilitate clinical implementation, potentially improving diagnostic efficiency and owner satisfaction.
DOI: 10.6084/m9.figshare.30938995.v2
title: Machine learning-assisted screening for canine Cushing’s syndrome

description: Cushing’s syndrome (CS) is a common endocrine disorder in dogs that can significantly impair their quality of life. Diagnosis is often challenging because of its variable clinical presentation, making it difficult to identify suitable candidates for further diagnostic tests. This study employed machine learning algorithms to assist in CS diagnosis using routinely available screening diagnostics, including complete blood count, serum chemistry panel, and urinalysis parameters such as urine specific gravity and urine protein-to-creatinine ratio. Data were collected from 153 control dogs initially suspected of CS but later excluded and 152 dogs with confirmed CS. A boosted tree algorithm (gradient boosting) was trained on 80% of the collected data, with the remaining 20% reserved for testing. The developed model demonstrated an accuracy of 88.5% [95% confidence interval (CI): 80.5–96.5%], a sensitivity of 83.3% (95% CI: 70.7–96.7%), a specificity of 93.5% (95% CI: 84.9–100%), and an area under the receiver operating characteristic curve of 0.912 (95% CI: 0.835–0.988), indicating excellent discriminatory ability. A user-friendly graphical interface was also developed to facilitate clinical implementation, potentially improving diagnostic efficiency and owner satisfaction.