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

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((100.431 2.323179, 100.36068 2.31761, 100.292093 2.301042, 100.226929 2.273881, 100.166794 2.236799, 100.113168 2.190708, 100.067374 2.136745, 100.030537 2.076237, 100.003565 2.010677, 99.98711900000001 1.941679, 99.981604 1.870942, 99.987155 1.800208, 100.003632 1.731218, 100.03063 1.66567, 100.067483 1.605179, 100.113284 1.551233, 100.166903 1.505159, 100.227022 1.468093, 100.29216 1.440945, 100.360715 1.424385, 100.431 1.418819, 100.501285 1.424385, 100.56984 1.440945, 100.634978 1.468093, 100.695097 1.505159, 100.748716 1.551233, 100.794517 1.605179, 100.83137 1.66567, 100.858368 1.731218, 100.874845 1.800208, 100.880396 1.870942, 100.874881 1.941679, 100.858435 2.010677, 100.831463 2.076237, 100.794626 2.136745, 100.748832 2.190708, 100.695206 2.236799, 100.635071 2.273881, 100.569907 2.301042, 100.50132 2.31761, 100.431 2.323179))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003282-260120142942310/datasets/export for details.
DOI: 10.15468/dl.7mfgn6
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-73.467 8.338094, -73.538008 8.332522000000001, -73.60726099999999 8.315944, -73.67305 8.288767999999999, -73.73375 8.251666999999999, -73.787864 8.205556, -73.834059 8.151573000000001, -73.871199 8.091051, -73.898371 8.025482999999999, -73.914911 7.956484, -73.920417 7.885755, -73.914759 7.815037, -73.898082 7.746073, -73.8708 7.680557, -73.833591 7.620102, -73.787372 7.566194, -73.733282 7.520157, -73.672652 7.483123, -73.606972 7.456001, -73.537856 7.439456, -73.467 7.433896, -73.39614400000001 7.439456, -73.327028 7.456001, -73.261348 7.483123, -73.20071799999999 7.520157, -73.14662800000001 7.566194, -73.100409 7.620102, -73.06319999999999 7.680557, -73.035918 7.746073, -73.01924099999999 7.815037, -73.013583 7.885755, -73.01908899999999 7.956484, -73.035629 8.025482999999999, -73.06280099999999 8.091051, -73.099941 8.151573000000001, -73.146136 8.205556, -73.20025 8.251666999999999, -73.26094999999999 8.288767999999999, -73.326739 8.315944, -73.39599200000001 8.332522000000001, -73.467 8.338094))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 126 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003283-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00012684
title: AMR prediction research work under data scarce condition

description: As a student at Nazarbayev Intellectual School in Kazakhstan, mentored by a PhD professor in algebra from the Astana IT University(AITU), I am conducting research on predicting AMR risks under data-scarce conditions. Kazakhstan faces challenges with fragmented AMR surveillance, leading to high rates of multidrug-resistant (MDR) and extensively drug-resistant (XDR) infections, especially in bloodstream cases caused by Klebsiella pneumoniae and E. coli.

This study will leverage global proxy data from the Vivli AMR Register to train machine learning models. Specifically, I will:
1. Analyze AMR trends over different years (2015–2023) and by infection type (focusing on bloodstream infections) for ceftriaxone, ciprofloxacin, and meropenem.
2. Preprocess data to classify resistance groupings (MDR/XDR) based on MIC thresholds.
3. Use XGBoost for classification and Prophet for time-series anomaly detection to predict spikes.
4. Generate heatmaps for Kazakhstani regions (e.g., Astana, Almaty) to identify hotspots.

The research will improve patient outcomes by enabling proactive interventions, strengthen antimicrobial stewardship through data-driven guidelines, inform public health by filling surveillance gaps, and bolster health systems in low- and middle-income countries (LMICs) like Kazakhstan. Data will be used solely for non-commercial academic purposes, with results shared in a student journal.
DOI: 10.5281/zenodo.18331185
title: A Grounded Conversation on Maturity, Collapse, and the Possibility of our civilization Adulthood

description: A Grounded Conversation on Maturity, Collapse, and the Possibility of our civilization Adulthood
DOI: 10.5281/zenodo.18331184
title: A Grounded Conversation on Maturity, Collapse, and the Possibility of our civilization Adulthood

description: A Grounded Conversation on Maturity, Collapse, and the Possibility of our civilization Adulthood
DOI: 10.34740/kaggle/dsv/14574303
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.uhfdcx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((100.953 2.343179, 100.882679 2.33761, 100.814091 2.321041, 100.748926 2.293881, 100.68879 2.256799, 100.635164 2.210708, 100.589369 2.156744, 100.552532 2.096237, 100.525559 2.030677, 100.509114 1.961679, 100.503599 1.890941, 100.50915 1.820207, 100.525628 1.751217, 100.552626 1.68567, 100.58948 1.625178, 100.635281 1.571232, 100.688901 1.525159, 100.74902 1.488093, 100.814159 1.460945, 100.882715 1.444385, 100.953 1.438819, 101.023285 1.444385, 101.091841 1.460945, 101.15698 1.488093, 101.217099 1.525159, 101.270719 1.571232, 101.31652 1.625178, 101.353374 1.68567, 101.380372 1.751217, 101.39685 1.820207, 101.402401 1.890941, 101.396886 1.961679, 101.380441 2.030677, 101.353468 2.096237, 101.316631 2.156744, 101.270836 2.210708, 101.21721 2.256799, 101.157074 2.293881, 101.091909 2.321041, 101.023321 2.33761, 100.953 2.343179))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003284-260120142942310/datasets/export for details.
DOI: 10.15468/dl.ch3jpk
title: Occurrence Download

description: A dataset containing 9448 records in GBIF matching the query:
SELECT
 '33' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= -28.773895969281842
 AND decimalLatitude &lt;= -24.552553756517728
 AND decimalLongitude &gt;= -75.7820124333441
 AND decimalLongitude &lt;= -68.77059728799237
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 9448 records were derived from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003278-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qxusdd
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-73.575 8.562089, -73.646049 8.556516999999999, -73.71534200000001 8.539937999999999, -73.78116799999999 8.512762, -73.841902 8.47566, -73.896046 8.429548, -73.942266 8.375565, -73.97942500000001 8.315042999999999, -74.00661100000001 8.249475, -74.023158 8.180476000000001, -74.028665 8.109748, -74.02300099999999 8.039031, -74.00631300000001 7.970068, -73.979015 7.904554, -73.941784 7.844101, -73.89554 7.790194, -73.84142 7.744159, -73.78075800000001 7.707126, -73.71504400000001 7.680005, -73.645892 7.663461, -73.575 7.657901, -73.504108 7.663461, -73.434956 7.680005, -73.369242 7.707126, -73.30858000000001 7.744159, -73.25445999999999 7.790194, -73.20821599999999 7.844101, -73.170985 7.904554, -73.143687 7.970068, -73.126999 8.039031, -73.121335 8.109748, -73.126842 8.180476000000001, -73.143389 8.249475, -73.170575 8.315042999999999, -73.207734 8.375565, -73.25395399999999 8.429548, -73.308098 8.47566, -73.368832 8.512762, -73.434658 8.539937999999999, -73.503951 8.556516999999999, -73.575 8.562089))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 111 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003285-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/bwvrc9
title: Revisionary notes on the genera Symplanella Fennah, 1987 and Pseudosymplanella Che, Zhang et Webb, 2009 (Hemiptera: Fulgoromorpha: Caliscelidae, Ommatidiotinae), with description of new subgenera and new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Gnezdilov, Vladimir M. (2024): Revisionary notes on the genera Symplanella Fennah, 1987 and Pseudosymplanella Che, Zhang et Webb, 2009 (Hemiptera: Fulgoromorpha: Caliscelidae, Ommatidiotinae), with description of new subgenera and new species. Zootaxa 5543 (1): 40-56, DOI: 10.11646/zootaxa.5543.1.2, URL: https://doi.org/10.11646/zootaxa.5543.1.2AbstractThe genus Symplanella Fennah, 1987 is revised, with the type species, Symplanella breviceps Fennah, 1987, is redescribed and illustrated based on new material from Thailand. A new subgenus, Bambunella subgen. nov. (type species: Symplanella zhongtua Yang et Chen, 2014), is erected in the genus Symplanella. A new species, Symplanella (Bambunella) cattiensis sp. nov., is described from southern Vietnam. The genus Pseudosymplanella Che, Zhang et Webb, 2009 is revised, with a new subgenus, Nelobamba subgen. nov. (type species: Pseudosymplanella maxima Gong, Chen et Yang, 2023), is erected. A new species, Pseudosymplanella (Nelobamba) kubani sp. nov., is described from northern Laos. Key to the subgenera and species of the genera Symplanella and Pseudosymplanella are given. Male sternal apodemes and abdominal sternites IV– VI in Augilini are briefly discussed.
DOI: 10.15468/dl.t8xm4u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((100.187 2.352178, 100.116678 2.34661, 100.04809 2.330041, 99.98292499999999 2.302881, 99.922788 2.265799, 99.869162 2.219708, 99.823367 2.165744, 99.78653 2.105237, 99.759557 2.039677, 99.743112 1.970678, 99.73759699999999 1.899941, 99.74314800000001 1.829207, 99.759626 1.760217, 99.786625 1.694669, 99.82347799999999 1.634178, 99.86927900000001 1.580232, 99.9229 1.534159, 99.983019 1.497093, 100.048159 1.469945, 100.116715 1.453385, 100.187 1.447819, 100.257285 1.453385, 100.325841 1.469945, 100.390981 1.497093, 100.4511 1.534159, 100.504721 1.580232, 100.550522 1.634178, 100.587375 1.694669, 100.614374 1.760217, 100.630852 1.829207, 100.636403 1.899941, 100.630888 1.970678, 100.614443 2.039677, 100.58747 2.105237, 100.550633 2.165744, 100.504838 2.219708, 100.451212 2.265799, 100.391075 2.302881, 100.32591 2.330041, 100.257322 2.34661, 100.187 2.352178))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003286-260120142942310/datasets/export for details.
DOI: 10.18131/76ns3-jsb44
title: Gait Data by Variable_12292020.xlsx
DOI: 10.15468/dl.mm2e82
title: Occurrence Download

description: A dataset containing 489 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is North America",
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Plexippus paykulli"
 ]
}

 The dataset includes 489 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003287-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fvwy7s
title: Occurrence Download

description: A dataset containing 288 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ailuropoda melanoleuca"
 ]
}

 The dataset includes 288 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003289-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fyn36f
title: Occurrence Download

description: A dataset containing 71560 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-17.37495 27.99972,-17.08127 27.99972,-17.08127 28.24456,-17.37495 28.24456,-17.37495 27.99972))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 71560 records from 259 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003260-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17982328
title: Time-SLIP MRI test dataset for regional CSF transport modeling

description: This repository provides a representative, fully anonymized test dataset supporting bi-component modeling of cerebrospinal fluid (CSF) transport measured with non-contrast Time–Spatial Labeling Inversion Pulse (Time-SLIP) MRI. 

The dataset is organized into three main components:



 testdata/tslip/ — Paired Tag and Control Time-SLIP acquisitions acquired at multiple inversion times (500–3000 ms) with left-sided labeling. 

 testdata/roi/ — Example region-of-interest (ROI) definitions, including parasagittal dura and superior sagittal sinus ROIs, along with reference tables. 

 testdata/other/ — Reference anatomical images (T2-weighted and FLAIR) used for anatomical localization and ROI delineation.


The dataset includes paired Tag and Control acquisitions acquired at multiple inversion times, example region-of-interest (ROI) definitions, and reference anatomical images. It is intended to enable execution, validation, and inspection of the analysis pipeline described in the accompanying manuscript and implemented in the public GitHub repository: https://github.com/vmalis/TimeSLIP-CSF-transport The dataset is not intended to represent a complete cohort but rather a minimal working example for reproducibility and code testing. No personally identifiable information is included.
DOI: 10.5281/zenodo.17982329
title: Time-SLIP MRI test dataset for regional CSF transport modeling

description: This repository provides a representative, fully anonymized test dataset supporting bi-component modeling of cerebrospinal fluid (CSF) transport measured with non-contrast Time–Spatial Labeling Inversion Pulse (Time-SLIP) MRI. 

The dataset is organized into three main components:



 testdata/tslip/ — Paired Tag and Control Time-SLIP acquisitions acquired at multiple inversion times (500–3000 ms) with left-sided labeling. 

 testdata/roi/ — Example region-of-interest (ROI) definitions, including parasagittal dura and superior sagittal sinus ROIs, along with reference tables. 

 testdata/other/ — Reference anatomical images (T2-weighted and FLAIR) used for anatomical localization and ROI delineation.


The dataset includes paired Tag and Control acquisitions acquired at multiple inversion times, example region-of-interest (ROI) definitions, and reference anatomical images. It is intended to enable execution, validation, and inspection of the analysis pipeline described in the accompanying manuscript and implemented in the public GitHub repository: https://github.com/vmalis/TimeSLIP-CSF-transport The dataset is not intended to represent a complete cohort but rather a minimal working example for reproducibility and code testing. No personally identifiable information is included.
DOI: 10.18112/openneuro.ds006979.v1.0.0
title: Examining Perceptual Grouping on Stages of Processing in Visual Working Memory: An ERP Study
DOI: 10.15468/dl.gnex5p
title: Occurrence Download

description: A dataset containing 6999130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Merluccius merluccius, Merluccius merluccius, Macruronus magellanicus, Macruronus magellanicus, Barbus barbus, Cyprinus carpio, Cyprinus carpio, Scomber scombrus, Scomber scombrus, Eutrigla gurnardus, Scardinius erythrophthalmus, Oncorhynchus mykiss, Oncorhynchus mykiss, Trachurus trachurus, Trachurus trachurus, Lota lota, Carcharhinus melanopterus, Carcharhinus amblyrhynchos, Brama australis, Gasterosteus aculeatus, Dissostichus eleginoides, Dissostichus eleginoides, Acipenser transmontanus, Limanda ferruginea, Tinca tinca, Mugil incilis, Trisopterus minutus, Trisopterus minutus, Oncorhynchus tshawytscha, Oncorhynchus tshawytscha, Solea solea, Solea solea, Atheresthes stomias, Atheresthes stomias, Osmerus eperlanus, Glyptocephalus zachirus, Lepomis macrochirus, Thunnus albacares, Thunnus albacares, Sander lucioperca, Anchoa mitchilli, Callionymus lyra, Parophrys vetulus, Parophrys vetulus, Oncorhynchus nerka, Morone saxatilis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 6999130 records from 1973 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003178-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9bmgpd
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hydrothrix gardneri Hook.f."
 ]
}

 The dataset includes 86 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007103-250525065834625/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.cc2ltblc
title: CCDC 2407633: Experimental Crystal Structure Determination

description: Related Article: Wen-Juan Shi, Yao-Yu Ma, Xiao-Yu Zhang, Lei Hou|2025|J.Coord.Chem.|78|1|doi:10.1080/00958972.2025.2458640
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.cc2m45zy
title: CCDC 2417100: Experimental Crystal Structure Determination

description: Related Article: Ming-Qian Han, Ying-Jie Zhao, Sen Pang, Hua-Jie Zhu, Du-Qiang Luo, Yun-Feng Liu, Kan Yang, Fei Cao|2025|Bioorg.Chem.|159|108419|doi:10.1016/j.bioorg.2025.108418
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.cc2m4600
title: CCDC 2417101: Experimental Crystal Structure Determination

description: Related Article: Ming-Qian Han, Ying-Jie Zhao, Sen Pang, Hua-Jie Zhu, Du-Qiang Luo, Yun-Feng Liu, Kan Yang, Fei Cao|2025|Bioorg.Chem.|159|108419|doi:10.1016/j.bioorg.2025.108418
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.cc2gj4v0
title: CCDC 2279642: Experimental Crystal Structure Determination

description: Related Article: Braulio M. Puerta Lombardi, Katia A. McCallum, Alexander Harrison, Devon S. Louwe, Jayar Espejo, Karima Bouzidi, Roland Roesler|2025|New J.Chem.|49|6554|doi:10.1039/D4NJ04276J
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.cc2gj4tz
title: CCDC 2279641: Experimental Crystal Structure Determination

description: Related Article: Braulio M. Puerta Lombardi, Katia A. McCallum, Alexander Harrison, Devon S. Louwe, Jayar Espejo, Karima Bouzidi, Roland Roesler|2025|New J.Chem.|49|6554|doi:10.1039/D4NJ04276J
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.