cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccpngd5
title: CCDC 645277: Experimental Crystal Structure Determination

description: Related Article: Lun-Zhi Dai, Ming-Juan Qi, Yong-Ling Shi, Xu-Guang Liu, Min Shi|2007|Org.Lett.|9|3191|doi:10.1021/ol0713640
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: 10.3535/852-jb5-bdl
title: Polygonum arenastrum Boreau

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/8la-a9v-ea9
title: Alchemilla glaucescens Wallr.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/xpb-da3-vqj
title: Polygonum arenastrum subsp. calcatum (Lindm.) Wissk.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.5517/ccptd95
title: CCDC 650017: Experimental Crystal Structure Determination

description: Related Article: H.Asahara, E.Kubo, K.Togaya, T.Koizumi, E.Mochizuki, T.Oshima|2007|Org.Lett.|9|3421|doi:10.1021/ol7014576
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: 10.3535/h2l-arx-a7a
title: Agropyron Gaertn.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.15468/dl.b9r56p
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((7.00609 46.03657,7.41353 46.03657,7.41353 46.31229,7.00609 46.31229,7.00609 46.03657))",
 "TaxonKey is Carex elongata L."
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048902-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57701/suf.vvl.2022.1-0
title: Vollendete Versichertenleben 2022
title: SUF
title: VVL

description: Scientific Use File Vollendete Versichertenleben (SUF.VVL):Grundlage des Verlaufsdatensatzes SUF.VVL ist die Rentenzugangsstatistik (§ 6 RSVwV, SK90) verknüpft mit Daten im Format der Versichertenkontenstichprobe (§ 1 RSVwV Abs. 2, SK79). Die Grundgesamtheit bildet der Versichertenrentenzugang eingeschränkt auf Alters- und Erwerbsminderungsrenten sowie definierte Meldegründe (insbesondere erstmaliger Rentenbezug). Die Größe der Zufallsstichprobe beträgt 25% Prozent.Berichtet wird neben demographischen Angaben über wichtige rentenrechtliche Sachverhalte wie beispielsweise Rentenhöhe, Komponenten des Rentenzahlbetrages, Entgeltpunkte sowie angerechnete versicherungsrechtliche Zeiten. Die Verlaufsdaten beschreiben die soziale Erwerbssituation während des Versichertenlebens, aber auch Sachverhalte wie beispielsweise Krankheit, Arbeitslosigkeit, Kindererziehung und Entgelt monatsgenau. Die monatlichen Angaben sind dabei lebenszeitbezogen (Januar des 14. bis Dezember des 65. Lebensjahres) als Querschnitt organisiert.
DOI: 10.6084/m9.figshare.29328182
title: Detecting Semantic Data Smells with BERT: A Transformer-Based Approach to Data Quality

description: Replication package of the paper "Detecting Semantic Data Smells with BERT: A Transformer-Based Approach to Data Quality". In recent years, the integrity of data used in machine learning pipelines has become increasingly critical, as even state-of-the-art models are constrained by the quality of their input. Among the various threats to data reliability, data smells—subtle and often semantic anomalies—pose unique challenges due to their nuanced and context-sensitive nature. This paper presents an innovative approach to detecting semantic data smells using BERT, a transformer-based language model originally designed for natural language understanding. We focus specifically on two underexplored categories: Split Value Smells and Multiple Value Smells, which respectively reflect improper data fragmentation and conflation. To facilitate model training, we construct a large, heterogeneous corpus of synthetic and real datasets, applying data augmentation techniques via Faker and SDV. Two distinct binary classifiers are trained using fine-tuned BERT models, achieving high performance (F1 scores of 0.88 and 0.98) in detecting these smells. Our findings demonstrate that transformer-based models are not only effective at capturing structural patterns in tabular data, but also capable of generalizing across diverse semantic anomalies. This work establishes a foundation for the broader application of language models in data quality assurance and opens new avenues for semantic-level data cleaning automation.
DOI: 10.6084/m9.figshare.29328182.v1
title: Detecting Semantic Data Smells with BERT: A Transformer-Based Approach to Data Quality

description: Replication package of the paper "Detecting Semantic Data Smells with BERT: A Transformer-Based Approach to Data Quality". In recent years, the integrity of data used in machine learning pipelines has become increasingly critical, as even state-of-the-art models are constrained by the quality of their input. Among the various threats to data reliability, data smells—subtle and often semantic anomalies—pose unique challenges due to their nuanced and context-sensitive nature. This paper presents an innovative approach to detecting semantic data smells using BERT, a transformer-based language model originally designed for natural language understanding. We focus specifically on two underexplored categories: Split Value Smells and Multiple Value Smells, which respectively reflect improper data fragmentation and conflation. To facilitate model training, we construct a large, heterogeneous corpus of synthetic and real datasets, applying data augmentation techniques via Faker and SDV. Two distinct binary classifiers are trained using fine-tuned BERT models, achieving high performance (F1 scores of 0.88 and 0.98) in detecting these smells. Our findings demonstrate that transformer-based models are not only effective at capturing structural patterns in tabular data, but also capable of generalizing across diverse semantic anomalies. This work establishes a foundation for the broader application of language models in data quality assurance and opens new avenues for semantic-level data cleaning automation.
DOI: 10.5285/3724bb78-2139-edbe-e063-7086abc0903f
title: Geochemical analyses, sequential leaching and X-ray diffraction (XRD) results of Fe-oxyhydroxide and massive sulphide samples from the Semenov Hydrothermal Field, Mid-Atlantic Ridge, during RRS James Cook cruise JC224 (March-April 2022)

description: Discrete samples of Fe-oxyhydroxide and seafloor massive sulphide were collected on the RRS James Cook cruise JC224 (March - April 2022) from the Semenov Hydrothermal Field, a seafloor massive sulphide (SMS) system located within the Mid Atlantic Ridge. Samples were collected using the ROV HyBIS (Murton et al., 2012). The samples were analysed onshore at the National Oceanography Centre, the University of Southampton and the British Geological survey for: (1) scanning electron microscope energy dispersive x-ray spectroscopy (SEM-EDS), (2) laser-ablation inductively-coupled-plasma mass-spectrometry (LA-ICP-MS) to obtain geochemical data of specific minerals, (3) geochemical composition analysis of sequential leaching by ICP-MS and ICP optical emission spectroscopy (OES) and (4) mineralogical quantification by using previously obtained X-ray diffraction (XRD) datasets after Bishop et al. (2025) and processed by Siroquant v5.2 (supplied by Sietronics Pty Ltd). This dataset aims to improve understanding regarding the mobilisation, distribution and retention of metals during the oxidation of sulphide minerals and subsequent alteration to their secondary products. The data were collected as part of a PhD project funded under NERC's Ultramafic-hosted mineral Resource Assessment (ULTRA) project, grant reference NE/S004068/1, and the samples are stored at the National Oceanography Centre, Southampton, UK.
DOI: 10.17035/cardiff.29315522
title: PCB concentrations in Otters 2010-2019

description: Data are concentrations of 23 different PCB (polychlorinated biphenyl) congeners, measured in otter liver tissue taken from otters found dead in Wales between 2010 and 2019. Otters found dead were collected as part of the Cardiff University Otter Project https://www.cardiff.ac.uk/otter-project. One hundred liver samples were selected for analysis from the CUOP archive from otters which had died between 2010 and 2019, in Wales. The concentrations of 23 PCB congeners were quantified in the otter liver samples using GC-MS, concentrations were reported in µg/kg wet weight (ww).Column headings: <b>Otter ID</b> is a numeric identifier of the otter from which samples were taken. <b>% Lipid</b> and <b>% Dry Wt</b> quantify the liver tissue lipid content and dry weight percentage, respectively. <b>SumTEQ</b> is the sum of the toxic equivalency factors (TEFs) from six dioxin-like PCB congeners (PCB 77, 105, 118, 126, 156 and 169). <b>Exceed TEQ </b>is a binary variable describing whether the calculated SumTEQ value exceeded a threshold value suggested to be of toxicological significance. <b>SumPCBAll23</b> is the total concentration of PCBs, summed across the 23 congeners measured. <b>SumPCB9</b> is the total concentration of PCBs, summed across 9 congeners (PCBs 105, 118, 128, 153, 156, 157, 167, 170 and 180), all of which measured above limit of detection in &gt;70% individuals. <b>PCB 8, 20, (etc) to 189</b> are the concentrations (measured in ug/kg wet weight) for each of the listed PCB congeners. Values less than LOQ (limit of quantification) were assigned 0.5 × LOQ; congeners marked with an asterisk are those where concentrations were measured with less precision.<br><br>
DOI: 10.17035/cardiff.29315522.v1
title: PCB concentrations in Otters 2010-2019

description: Data are concentrations of 23 different PCB (polychlorinated biphenyl) congeners, measured in otter liver tissue taken from otters found dead in Wales between 2010 and 2019. Otters found dead were collected as part of the Cardiff University Otter Project https://www.cardiff.ac.uk/otter-project. One hundred liver samples were selected for analysis from the CUOP archive from otters which had died between 2010 and 2019, in Wales. The concentrations of 23 PCB congeners were quantified in the otter liver samples using GC-MS, concentrations were reported in µg/kg wet weight (ww).Column headings: <b>Otter ID</b> is a numeric identifier of the otter from which samples were taken. <b>% Lipid</b> and <b>% Dry Wt</b> quantify the liver tissue lipid content and dry weight percentage, respectively. <b>SumTEQ</b> is the sum of the toxic equivalency factors (TEFs) from six dioxin-like PCB congeners (PCB 77, 105, 118, 126, 156 and 169). <b>Exceed TEQ </b>is a binary variable describing whether the calculated SumTEQ value exceeded a threshold value suggested to be of toxicological significance. <b>SumPCBAll23</b> is the total concentration of PCBs, summed across the 23 congeners measured. <b>SumPCB9</b> is the total concentration of PCBs, summed across 9 congeners (PCBs 105, 118, 128, 153, 156, 157, 167, 170 and 180), all of which measured above limit of detection in &gt;70% individuals. <b>PCB 8, 20, (etc) to 189</b> are the concentrations (measured in ug/kg wet weight) for each of the listed PCB congeners. Values less than LOQ (limit of quantification) were assigned 0.5 × LOQ; congeners marked with an asterisk are those where concentrations were measured with less precision.<br><br>
DOI: 10.15468/dl.a8mtdg
title: Occurrence Download

description: A dataset containing 2 records in GBIF matching the query:

SELECT "specieskey", MIN("year") AS "gimme"
FROM occurrence
WHERE (
 "decimallongitude" &gt;= 5.725 AND "decimallongitude" &lt;= 6.49375 AND
 "decimallatitude" &gt;= 49.445457 AND "decimallatitude" &lt;= 50.167187 AND
 "specieskey" IN ('3189866', '5232437')
)
GROUP BY "specieskey"


 The dataset's 2 records were derived from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048894-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rmtgc9
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Guadeloupe, Bonaire, Sint Eustatius and Saba, Dominica, Martinique, Trinidad and Tobago, Colombia, Saint Vincent and the Grenadines, Venezuela (Bolivarian Republic of), Saint Kitts and Nevis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cyathea grandifolia Willd."
 ]
}

 The dataset includes 112 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048904-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.whb3k8
title: Occurrence Download

description: A dataset containing 4351612 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rumex L."
 ]
}

 The dataset includes 4351612 records from 5913 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048876-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ldqgxf
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003913-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8hewut
title: Occurrence Download

description: A dataset containing 25510 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Balaenoptera musculus (Linnaeus, 1758)"
 ]
}

 The dataset includes 25510 records from 240 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035039-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xxh4zy
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003918-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/6v7ldl
title: Uso y monitoreo de los recursos naturales en el Corredor Biológico Mesoamericano (áreas focales Xpujil-Zoh Laguna y Carrillo Puerto) Mariposas

description: En el proyecto "Uso y monitoreo de los recursos naturales en el Corredor Biológico Mesoamericano (Areas Focales Xpujil-Zoh Laguna y Carrillo Puerto)" se pretende dar continuación a varios proyectos iniciados por investigadores de El Colegio de la Frontera Sur (ECOSUR) en las zonas focales de Carrillo Puerto y de Xpujil-Zoh Laguna. De manera especial, se pretende integrar la información de diversos tipos de aprovechamientos de los que ya se tienen antecedentes y que continuarán siendo evaluados en el periodo de duración del proyecto, en dichas áreas focales. Los tipos de aprovechamientos van desde los maderables, no maderables, de fauna silvestre, pesquerías y apicultura hasta los de uso ecológico recreativo, como es el caso del llamado Ecoturismo; las modalidades de los aprovechamientos abarcan aspectos de autoconsumo y los comerciales. Para su ejecución, hemos convocado la participación de investigadores y técnicos de El Colegio de la frontera Sur, unidad Chetumal, ha este esfuerzo se nos unieron dos exalumnos de la maestría como responsables de dos de los doce subproyectos que conforman el proyecto. También se contratará y capacitará personal con fondos de este financiamiento. Por otra parte, uno de los objetivos principales de esta convocatoria advierte la necesidad de monitorear los aprovechamientos que se desarrollan en este Corredor Biológico, por lo que en este proyecto daremos un taller de capacitación a ejidatarios locales para iniciar con la formación de una red de monitoreo llevada a cabo por residentes de las áreas focales que cuenten con bases teóricas y con métodos homogéneos que permitan la comparación de los resultados obtenidos a través del tiempo y del espacio. A estos grupos capacitados se les proveerá de equipo y formatos para registrar sus observaciones. Como principal resultado pretendemos obtener un diagnostico comparativo de los aprovechamientos estudiados en las dos áreas focales y como resultados colaterales tendremos folletos, colecciones biológicas, mapas, actualizaciones de bases de datos y creación de otras. Además se capacitarán varios estudiantes y técnicos de campo en las diversas actividades realizadas en el área.
DOI: 10.15468/dl.p477qs
title: Occurrence Download

description: A dataset containing 828268 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.39_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Sturnus vulgaris Linnaeus, 1758"
 ]
}

 The dataset includes 828268 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035036-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wcxwyk
title: Occurrence Download

description: A dataset containing 123303 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is SIO Marine Vertebrate Collection"
 ]
}

 The dataset includes 123303 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003907-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a5rxah
title: Occurrence Download

description: A dataset containing 505194 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Primula L."
 ]
}

 The dataset includes 505194 records from 775 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003874-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wrkr4j
title: Occurrence Download

description: A dataset containing 5388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true",
 "TaxonKey is Eptesicus serotinus (Schreber, 1774)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5388 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003876-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/ufliir
title: SILENE-FAUNE-PACA - DREAL_PACA_-_N2000_-_Communauté_d'Agglomération_Salon_Berre_Durance_2017_12_18

description: DREAL PACA - N2000 - Communauté d'Agglomération Salon Berre Durance
DOI: 10.15468/dl.d3znqc
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003925-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ddyjrc
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003878-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pl7xnm
title: Occurrence Download

description: A dataset containing 10783 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Chromolaena odorata (L.) R.M.King & H.Rob.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10783 records from 220 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003877-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/mowmkp
title: EDP Foz Tua: Bat Roosts - Baseline and Complementary Studies [2008-2010]

description: The dataset contains records of bats (Chiroptera) collected in the lower valley of the River Tua and included in the Baseline (2008-2009) and Complementary (2010) Studies of the Environmental Impact Assessment of the Foz Tua Hydroelectric Dam, promoted by EDP – Energias de Portugal, S.A. Data were collected between November 2008 and April 2010 during field visits to 27 known or presumed bat roosts used for hibernation and/or reproduction, within a 15-km radius buffer around the Tua valley. The presence of individuals was recorded by direct observation. When the identification raised doubts, or the numbers were too high to allow individual examination, the specimens were photographed for later identification. The records include taxa identified at the species or genus level. In several occasions it was not possible to separate the potential species of the genus Myotis, so they were simply included in 2 “species complexes”: “large” Myotis (2 species) and “small” Myotis (5 species). Due to the vulnerability of the roost locations, the precision of the geographic coordinates was degraded to 0.01, according to the recommendations of Chapman & Grafton (2008). The dataset with the original (undegraded) coordinates may be provided upon request by the resource contact from EDP, who will define the terms and conditions for its use.