cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13144/lil-1433
title: Enquête sur les motivations de départ à la retraite - 2012

description: L’enquête sur les motivations de départ à la retraite est le fruit d’une collaboration entre la Caisse nationale d’assurance vieillesse (CNAV), le Conseil d’orientation des retraites (COR), la Direction de la recherche, des études, de l’évaluation et des statistiques (DREES) et la Direction de la Sécurité sociale (DSS). Dans cette seconde vague de l’enquête, 3 103 personnes ont été interrogées, parmi les 664 000 nouveaux retraités résidant en France et qui ont liquidé leur retraite de droit direct au régime général (CNAV) entre le 1er juillet 2010 et le 30 juin 2011. L'enquête a été mise en place en vue d'analyser périodiquement les comportements de départ à la retraite des assurés. Elle a plus précisément pour objectif d'identifier les motivations de départ à la retraite des personnes récemment parties à la retraite, et notamment celles qui ne sont pas connues grâce aux sources administratives : déterminants d'ordre financier, liés aux conditions de travail, à l'état de santé, à la situation du conjoint, à des projets professionnels ou personnels, etc. L'enquête a aussi pour objectif de déterminer le niveau de connaissance des assurés de certains dispositifs institutionnels comme le taux plein, le nombre de trimestres à valider, la décote, la surcote, le cumul emploi et retraite, etc. Des questions relatives à l'information dont disposaient les retraités au moment de leur départ à la retraite ont été ajoutées pour cette seconde vague.
DOI: 10.15468/dl.n86e24
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 "TaxonKey is one of (Puma concolor puma [GBIF Backbone Taxonomy])"
 ]
}

 The dataset includes 43 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015883-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/fc0hzc
title: Mammals of Ireland 2016-2025

description: Observations of wild and feral mammals.
DOI: 10.15468/dl.5t8axz
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apistogramma panduro",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015882-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31334068
title: Radiomics analysis of MRI improves prediction of lymph node metastasis in laryngeal squamous cell carcinoma

description: To explore the role of multi-sequence magnetic resonance imaging (MRI) images in preoperative prediction of lymph node metastasis in laryngeal squamous cell carcinoma (LSCC). Patients with LSCC undergoing open surgery and lymph node dissection were enrolled (n = 224 training, n = 96 testing). Radiomic features (n = 2394) were extracted from T1-enhanced and T2-weighted images. Features were screened using least absolute shrinkage and selection operator (LASSO) regression, and the best-performing classification model was identified among Logistic Regression, Random Forest, Extreme Gradient Boosting, and Light Gradient Boosting Machine. An imaging biomarker-based nomogram integrating radiomic and clinical features was developed via logistic regression. LASSO regression identified 14 stable features (6 from T1-enhanced images, 8 from T2-weighted). The Random Forest model showed the best radiomics-only performance (area under the receiver operating characteristic curve [AUC]: 0.877 training; 0.875 testing). The combined clinical – radiomics nomogram achieved higher discrimination (AUC: 0.942 training; 0.908 testing), outperforming standalone clinical or radiomic models. The radiomic-clinical nomogram enhances preoperative prediction of cervical lymph node metastasis in LSCC, offering the potential to optimize clinical decision-making.
DOI: 10.6084/m9.figshare.31334068.v1
title: Radiomics analysis of MRI improves prediction of lymph node metastasis in laryngeal squamous cell carcinoma

description: To explore the role of multi-sequence magnetic resonance imaging (MRI) images in preoperative prediction of lymph node metastasis in laryngeal squamous cell carcinoma (LSCC). Patients with LSCC undergoing open surgery and lymph node dissection were enrolled (n = 224 training, n = 96 testing). Radiomic features (n = 2394) were extracted from T1-enhanced and T2-weighted images. Features were screened using least absolute shrinkage and selection operator (LASSO) regression, and the best-performing classification model was identified among Logistic Regression, Random Forest, Extreme Gradient Boosting, and Light Gradient Boosting Machine. An imaging biomarker-based nomogram integrating radiomic and clinical features was developed via logistic regression. LASSO regression identified 14 stable features (6 from T1-enhanced images, 8 from T2-weighted). The Random Forest model showed the best radiomics-only performance (area under the receiver operating characteristic curve [AUC]: 0.877 training; 0.875 testing). The combined clinical – radiomics nomogram achieved higher discrimination (AUC: 0.942 training; 0.908 testing), outperforming standalone clinical or radiomic models. The radiomic-clinical nomogram enhances preoperative prediction of cervical lymph node metastasis in LSCC, offering the potential to optimize clinical decision-making.
DOI: 10.5286/edata/964
title: Leica Image File for data model development

description: A data set created with a Leica SP8 Digital Lightsheet microscope.
DOI: 10.15468/dl.ey8fah
title: Occurrence Download

description: A dataset containing 789 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bryoria implexa",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 789 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015885-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.479ga8
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pavetta ternifolia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 99 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015886-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5h8fde
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Trimma fraena"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015888-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.enfdxa
title: Occurrence Download

description: A dataset containing 182 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Comanthera bisulcata",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 182 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015887-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5xuzhj
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alticola albicaudus"
 ]
}

 The dataset includes 23 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015889-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31130025.v1
title: Representative population distribution layer for Czechia: from methodology to automated solutions

description: Knowledge of the spatial distribution of the population is essential for planning, policy-making, and socio-economic research. The traditional use of population data, typically based on residence, provides a static and often distorted perspective, as it fails to account for population mobility, which significantly affects spatial and temporal patterns. This study implements a bottom-up aggregation of seven national registers and census-derived indicators to generate representative daytime and nighttime population layers at a 100 m grid for Czechia (demonstrated on the Olomouc Region). The workflow includes preprocessing to remove overlaps between sources, geocoding to address locations, and transforming the resulting population counts into a 100 m grid representation. The procedure is implemented in Python and released as an ArcGIS Pro toolbox. Validation against census data and mobile-network geolocation estimates showed that nighttime population was reproduced with satisfactory accuracy, while daytime deviations increased with settlement size due to employee-range uncertainty, yet remained within acceptable limits (&lt;22% for settlements &lt;50,000 inhabitants). The resulting workflow provides a reproducible, parameterizable method for creating high-resolution gridded population data from national registers and, where available, more detailed custom input sources.
DOI: 10.5281/zenodo.18634330
title: CHRONIC HEART FAILURE: MODERN PATHOPHYSIOLOGY, DIAGNOSIS AND EVIDENCE-BASED MANAGEMENT

description: Chronic Heart Failure (CHF) is a complex clinical syndrome resulting from structural or functional cardiac abnormalities that impair the ability of the heart to pump or fill adequately. It represents one of the leading causes of morbidity and mortality worldwide, particularly among the elderly population. Despite advances in pharmacological and device-based therapies, CHF continues to impose a significant burden on healthcare systems. This article provides a comprehensive review of the modern understanding of pathophysiology, classification, diagnostic strategies, and evidence-based management of chronic heart failure. Special emphasis is placed on neurohormonal mechanisms, updated clinical guidelines, and emerging therapeutic approaches that improve survival and quality of life.
DOI: 10.5281/zenodo.18634329
title: CHRONIC HEART FAILURE: MODERN PATHOPHYSIOLOGY, DIAGNOSIS AND EVIDENCE-BASED MANAGEMENT

description: Chronic Heart Failure (CHF) is a complex clinical syndrome resulting from structural or functional cardiac abnormalities that impair the ability of the heart to pump or fill adequately. It represents one of the leading causes of morbidity and mortality worldwide, particularly among the elderly population. Despite advances in pharmacological and device-based therapies, CHF continues to impose a significant burden on healthcare systems. This article provides a comprehensive review of the modern understanding of pathophysiology, classification, diagnostic strategies, and evidence-based management of chronic heart failure. Special emphasis is placed on neurohormonal mechanisms, updated clinical guidelines, and emerging therapeutic approaches that improve survival and quality of life.
DOI: 10.15468/dl.zppqqj
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apistogramma pantalone",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015890-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nzap84
title: Occurrence Download

description: A dataset containing 671 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alticola argentatus"
 ]
}

 The dataset includes 671 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015891-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/bxh7-ya08
title: "Bitmap Image Dataset"

description: "This dataset consists of20 images of dimension 2000x150020 images of dimension 4000x300020 images of dimension 8160x6120These images contain a range of content and have been categorized into animals, food, landscape, snow, water, and night. All the images have been captured using smartphones.All the images have a pixel depth of 8-bits per pixel per channel. Color images are represented in three-channel RGB. Grayscale images are represented in a single channel.All the images are stored in .bmp format."
DOI: 10.5281/zenodo.18634373
title: SEMIZLIKNING KELIB CHIQISH SABABLARI VA OLDINI OLISH

description: Semizlik hozirgi kunda butun dunyo miqyosida keng tarqalgan va jiddiy tibbiy-ijtimoiy muammolardan biri hisoblanadi. Ushbu holat organizmda yog‘ to‘qimasining me’yordan ortiqcha to‘planishi bilan tavsiflanib, yurak-qon tomir kasalliklari, qandli diabet, gipertoniya, tayanch-harakat tizimi kasalliklari hamda boshqa ko‘plab surunkali xastaliklarning rivojlanishiga sabab bo‘ladi. Zamonaviy hayot tarzida jismoniy faollikning kamayishi, noto‘g‘ri ovqatlanish, psixologik stress va irsiy omillar semizlik rivojlanishida muhim rol o‘ynaydi. Mazkur maqolada semizlikning kelib chiqish sabablari, patogenetik mexanizmlari, inson salomatligiga ta’siri hamda ushbu holatning oldini olishga qaratilgan zamonaviy profilaktik chora-tadbirlar ilmiy manbalar asosida batafsil yoritilgan.
DOI: 10.5281/zenodo.18634372
title: SEMIZLIKNING KELIB CHIQISH SABABLARI VA OLDINI OLISH

description: Semizlik hozirgi kunda butun dunyo miqyosida keng tarqalgan va jiddiy tibbiy-ijtimoiy muammolardan biri hisoblanadi. Ushbu holat organizmda yog‘ to‘qimasining me’yordan ortiqcha to‘planishi bilan tavsiflanib, yurak-qon tomir kasalliklari, qandli diabet, gipertoniya, tayanch-harakat tizimi kasalliklari hamda boshqa ko‘plab surunkali xastaliklarning rivojlanishiga sabab bo‘ladi. Zamonaviy hayot tarzida jismoniy faollikning kamayishi, noto‘g‘ri ovqatlanish, psixologik stress va irsiy omillar semizlik rivojlanishida muhim rol o‘ynaydi. Mazkur maqolada semizlikning kelib chiqish sabablari, patogenetik mexanizmlari, inson salomatligiga ta’siri hamda ushbu holatning oldini olishga qaratilgan zamonaviy profilaktik chora-tadbirlar ilmiy manbalar asosida batafsil yoritilgan.
DOI: 10.34740/kaggle/dsv/14831150
title: Vietnam SARS-CoV-2 | COVID-19 Data
DOI: 10.15468/dl.28dbqq
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bryoria vrangiana",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 45 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015892-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u67ute
title: Occurrence Download

description: A dataset containing 365 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pentagonia spathicalyx",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 365 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015894-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.63se9r
title: Occurrence Download

description: A dataset listing the 229 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Canada",
 "Country is Canada"
 ]
 },
 {
 "and" : [
 "BasisOfRecord is one of (Specimen, Fossil, Material sample, Living Specimen, Material citation)",
 "TaxonKey is one of (Apidae [GBIF Backbone Taxonomy], Megachilidae [GBIF Backbone Taxonomy], Halictidae [GBIF Backbone Taxonomy], Colletidae [GBIF Backbone Taxonomy], Andrenidae [GBIF Backbone Taxonomy], Melittidae [GBIF Backbone Taxonomy])",
 "GadmGid is one of (CAN.9.9_1)"
 ]
 }
 ]
}

 The dataset's 229 records were derived from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015877-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6f7mff
title: Occurrence Download

description: A dataset containing 9939 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gaultheria myrsinoides",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 9939 records from 223 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015896-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18634360
title: ID MED TIZIMI ASOSIDA SEPSIS BILAN OG'RIGAN BOLALARDA KLINIK-LABORATOR VA ANTROPOMETRIK KO'RSATKICHLAR MONITORINGI HAMDA DAVOLASH NATIJALARI

description: Sepsis bolalar yoshida uchraydigan eng og‘ir va hayot uchun xavfli patologik holatlardan biri bo‘lib, infeksiyaga organizmning generalizatsiyalashgan yallig‘lanish javobi natijasida rivojlanadi. Pediatrik sepsis yuqori o‘lim ko‘rsatkichlari, ko‘p a’zoli yetishmovchilik va uzoq muddatli asoratlar bilan tavsiflanadi. Ayniqsa, yangi tug‘ilgan chaqaloqlar va 5 yoshgacha bo‘lgan bolalarda immun tizimning yetilmaganligi sababli sepsis og‘ir kechadi.
DOI: 10.5281/zenodo.18634361
title: ID MED TIZIMI ASOSIDA SEPSIS BILAN OG'RIGAN BOLALARDA KLINIK-LABORATOR VA ANTROPOMETRIK KO'RSATKICHLAR MONITORINGI HAMDA DAVOLASH NATIJALARI

description: Sepsis bolalar yoshida uchraydigan eng og‘ir va hayot uchun xavfli patologik holatlardan biri bo‘lib, infeksiyaga organizmning generalizatsiyalashgan yallig‘lanish javobi natijasida rivojlanadi. Pediatrik sepsis yuqori o‘lim ko‘rsatkichlari, ko‘p a’zoli yetishmovchilik va uzoq muddatli asoratlar bilan tavsiflanadi. Ayniqsa, yangi tug‘ilgan chaqaloqlar va 5 yoshgacha bo‘lgan bolalarda immun tizimning yetilmaganligi sababli sepsis og‘ir kechadi.
DOI: 10.5281/zenodo.18634400
title: GASTRIT VA YARA KASALLIKLARINING RIVOJLANISH OMILLARI

description: Gastrit va oshqozon hamda o‘n ikki barmoqli ichak yarasi zamonaviy tibbiyotda oshqozon-ichak tizimining eng ko‘p uchraydigan surunkali kasalliklaridan hisoblanadi. Ushbu kasalliklar keng tarqalgan bo‘lib, mehnat qobiliyatining pasayishi, hayot sifatining yomonlashuvi va uzoq muddatli davolash zarurati bilan tavsiflanadi. Ilmiy tadqiqotlar gastrit va yara kasalliklarining rivojlanishida bir qator etiologik va patogenetik omillar, jumladan noto‘g‘ri ovqatlanish, stress, zararli odatlar, dori vositalarini nazoratsiz qabul qilish hamda infeksion omillarning muhim rol o‘ynashini ko‘rsatmoqda. Ushbu maqolada gastrit va yara kasalliklarining kelib chiqish mexanizmlari, asosiy xavf omillari va ularning organizmga ta’siri ilmiy manbalar asosida batafsil yoritiladi.
DOI: 10.5281/zenodo.18634399
title: GASTRIT VA YARA KASALLIKLARINING RIVOJLANISH OMILLARI

description: Gastrit va oshqozon hamda o‘n ikki barmoqli ichak yarasi zamonaviy tibbiyotda oshqozon-ichak tizimining eng ko‘p uchraydigan surunkali kasalliklaridan hisoblanadi. Ushbu kasalliklar keng tarqalgan bo‘lib, mehnat qobiliyatining pasayishi, hayot sifatining yomonlashuvi va uzoq muddatli davolash zarurati bilan tavsiflanadi. Ilmiy tadqiqotlar gastrit va yara kasalliklarining rivojlanishida bir qator etiologik va patogenetik omillar, jumladan noto‘g‘ri ovqatlanish, stress, zararli odatlar, dori vositalarini nazoratsiz qabul qilish hamda infeksion omillarning muhim rol o‘ynashini ko‘rsatmoqda. Ushbu maqolada gastrit va yara kasalliklarining kelib chiqish mexanizmlari, asosiy xavf omillari va ularning organizmga ta’siri ilmiy manbalar asosida batafsil yoritiladi.
DOI: 10.15468/dl.pkuhvv
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apistogramma paucisquamis",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 67 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015897-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tqwnvh
title: Occurrence Download

description: A dataset containing 31450 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argynnis aglaja",
 "Country is one of (Albania, Austria, Bosnia and Herzegovina, Belgium, Bulgaria, Belarus, Switzerland, Cyprus, Czechia, Germany, Denmark, Estonia, Spain, Finland, France, United Kingdom of Great Britain and Northern Ireland, Greece, Croatia, Hungary, Ireland, Italy, Lithuania, Luxembourg, Latvia, Moldova, Republic of, Montenegro, North Macedonia, Malta, Netherlands, Norway, Poland, Portugal, Romania, Serbia, Sweden, Slovenia, Slovakia, Türkiye, Ukraine, Kosovo)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 31450 records from 412 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015898-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tq3gy7
title: Occurrence Download

description: A dataset containing 125038 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Digitaria sanguinalis",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 125038 records from 1299 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015834-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccx1c5g
title: CCDC 835455: Experimental Crystal Structure Determination

description: Related Article: M.I.Bruce,A.Burgun,G.Grelaud,C.Lapinte,C.R.Parker,T.Roisnel,B.W.Skelton,N.N.Zaitseva|2012|Organometallics|31|6623|doi:10.1021/om3006728
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.