cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/tsa-htb-4hj
title: Urtica urens L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/dzh-q80-wmz
title: Campanula glomerata subsp. glomerata

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/x7m-ksl-2he
title: Centaurea australis Pancic ex A. Kern.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/tbh-yr3-ckc
title: Chenopodiastrum hybridum (L.) S. Fuentes, Uotila & Borsch

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/4ss-ge0-saw
title: Petasites albus (L.) Gaertn.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/f1j-dx2-fjj
title: Cerastium holosteoides Fr.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/3pw-t4k-30q
title: Potentilla aurea subsp. aurea

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/n4p-f7q-s0q
title: Aster bellidiastrum (L.) Scop.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ma6-skm-56r
title: Homogyne alpina (L.) Cass.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/xze-l75-y00
title: Eleocharis acicularis (L.) Roem. & Schult.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/c6w-fw0-kln
title: Poa nemoralis L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/yzr-95s-s9j
title: Phragmites australis subsp. australis

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.5517/cc4sw6z
title: CCDC 143071: Experimental Crystal Structure Determination

description: Related Article: D.Basavaiah, R.M.Reddy|2001|J.Chem.Res.|354|0947|
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/cc4sw70
title: CCDC 143072: Experimental Crystal Structure Determination

description: Related Article: D.Basavaiah, R.M.Reddy|2001|J.Chem.Res.|354|0947|
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/cc5hg58
title: CCDC 163809: Experimental Crystal Structure Determination

description: Related Article: P.Luger, M.Weber, G.Szeimies, M.Patzel|2001|J.Chem.Soc.,Perkin Trans.2||1956|
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/flk-kle-yay
title: Alopecurus aequalis Sobol.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/34n-qp3-py6
title: Glyceria notata Chevall.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/rgs-nrc-b2r
title: Amaranthus emarginatus subsp. pseudogracilis (Thell.) Hügin

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/mgx-abp-hvq
title: Cicerbita alpina (L.) Wallr.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/zym-k4c-sqe
title: Hedlundia harziana (N. Mey.) Sennikov & Kurtto

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/5w1-yb7-h3s
title: Prenanthes purpurea L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/e7g-sjw-s2e
title: Juncus filiformis L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/91a-1f6-ef0
title: Phyteuma spicatum L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/smh-425-fl7
title: Juncus tenuis Willd.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/smj-4sw-ksk
title: Crepis vesicaria subsp. taraxacifolia (Thuill.) Thell.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.5517/cc5wykj
title: CCDC 175818: Experimental Crystal Structure Determination

description: Related Article: J.Vela-Becerra, P.Sharma, A.Cabrera, C.Alvarez, A.Toscano, G.Penieres|2000|Heterocyclic Communications|6|553|
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: 10.3535/8pt-5c2-bde
title: Avenula pubescens (Huds.) Dumort.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/qst-69w-q0x
title: Carex pendula Huds.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.5517/cc5dz1k
title: CCDC 161418: Experimental Crystal Structure Determination

description: Related Article: S.S.Ravindran, N.Skiti, C.McCleland, B.Barton, J.Bacsa|2001|J.Chem.Res.|405|1056|
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: 10.3535/5wl-hwf-nq5
title: Juncus effusus subsp. effusus

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/qh5-qya-972
title: Armeria maritima subsp. elongata (Hoffm.) Bonnier

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/j38-x3v-hfx
title: Juncus bulbosus subsp. bulbosus

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/lnv-h47-kgh
title: Juncus compressus Jacq.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/jgb-phl-07l
title: Panicum miliaceum L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/pb0-fea-2pk
title: Onopordum acanthium L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.5517/cc5thr6
title: CCDC 173468: Experimental Crystal Structure Determination

description: Related Article: Young-Youn Kim, Ha-Jin Lee, Sung Keon Namgoong, Jongki Hong, Dong-Youn Noh|2000|J.Korean Chem.Soc.|44|513|
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/dwg-dn5-yjs
title: Apera spica-venti (L.) P.Beauv.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/vg2-ge4-1kl
title: Leontodon incanus (L.) Schrank

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.5517/cc5956t
title: CCDC 157765: Experimental Crystal Structure Determination

description: Related Article: B.Milani, G.Mestroni, E.Zangrando|2001|Croat.Chem.Acta|74|851|
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: 10.17632/jyrkr8cdy9
title: Association Between Air Pollution and Child Brain Development: A Machine Learning Based Environmental Modeling Study

description: This study examines the relationship between air pollution exposure and child brain development using machine learning–based environmental modeling. Air pollution is increasingly recognized as a determinant of neurodevelopmental outcomes, particularly during early life when the brain undergoes rapid structural and functional changes. The project integrates simulated multi-source pollution data with advanced analytical techniques to characterize complex, nonlinear exposure–response relationships.

A synthetic dataset of 100 exposure scenarios was developed to represent realistic variations in pollutant levels originating from industrial operations, vehicular traffic, dust storms, and wildfires. Pollutants included NOx, CO, CO₂, dust PM₁₀, and wildfire PM₂.₅. Emission levels were generated within typical environmental ranges. A Total Exposure Index was calculated as a weighted sum of pollutants to represent cumulative exposure intensity. The Predicted Impact (%) variable was simulated using a nonlinear function incorporating pollutant interactions and controlled random noise, ensuring reproducibility through fixed random seeds.

Each dataset entry was labeled with one of several machine learning techniques (Random Forest, XGBoost, SVM, Neural Networks, Gradient Boosting, Linear Regression) to illustrate methodological diversity. Analyses were performed using Python and standard open-source libraries in a reproducible Jupyter Notebook environment. Exploratory analysis included pairwise scatter plots, correlation heatmaps, and boxplots to visualize relationships and compare model behaviors.

A Random Forest model with cross-validation was applied to assess predictive performance and feature importance. Results indicated that the Total Exposure Index was the dominant predictor, followed by particulate matter and CO. Correlation analysis revealed a strong positive relationship between total exposure and predicted impact, emphasizing the significance of overall pollutant burden in shaping modeled neurodevelopmental outcomes.

Although synthetic, this dataset demonstrates the utility of machine learning approaches in environmental health research. It provides a structured, transparent, and reproducible framework that can be adapted to real-world monitoring data. The methodology supports method development, sensitivity analysis, and policy-relevant modeling, aligning with current trends in data-driven environmental epidemiology. By highlighting key exposure drivers and interactions, the study contributes to a growing evidence base informing public health protection and regulatory decision-making in the context of vulnerable populations, particularly children. The approach can also be extended to diverse geographical regions or pollutant mixtures. This enhances its value as a flexible educational and research resource.
DOI: 10.3535/6v4-5bg-sgt
title: Silene baccifera (L.) Durande

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/zhm-d17-y0q
title: Bromus hordeaceus subsp. hordeaceus

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.5517/cc5957v
title: CCDC 157766: Experimental Crystal Structure Determination

description: Related Article: B.Milani, G.Mestroni, E.Zangrando|2001|Croat.Chem.Acta|74|851|
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/cc5958w
title: CCDC 157767: Experimental Crystal Structure Determination

description: Related Article: B.Milani, G.Mestroni, E.Zangrando|2001|Croat.Chem.Acta|74|851|
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: 10.17632/jyrkr8cdy9.1
title: Association Between Air Pollution and Child Brain Development: A Machine Learning Based Environmental Modeling Study

description: This study examines the relationship between air pollution exposure and child brain development using machine learning–based environmental modeling. Air pollution is increasingly recognized as a determinant of neurodevelopmental outcomes, particularly during early life when the brain undergoes rapid structural and functional changes. The project integrates simulated multi-source pollution data with advanced analytical techniques to characterize complex, nonlinear exposure–response relationships.

A synthetic dataset of 100 exposure scenarios was developed to represent realistic variations in pollutant levels originating from industrial operations, vehicular traffic, dust storms, and wildfires. Pollutants included NOx, CO, CO₂, dust PM₁₀, and wildfire PM₂.₅. Emission levels were generated within typical environmental ranges. A Total Exposure Index was calculated as a weighted sum of pollutants to represent cumulative exposure intensity. The Predicted Impact (%) variable was simulated using a nonlinear function incorporating pollutant interactions and controlled random noise, ensuring reproducibility through fixed random seeds.

Each dataset entry was labeled with one of several machine learning techniques (Random Forest, XGBoost, SVM, Neural Networks, Gradient Boosting, Linear Regression) to illustrate methodological diversity. Analyses were performed using Python and standard open-source libraries in a reproducible Jupyter Notebook environment. Exploratory analysis included pairwise scatter plots, correlation heatmaps, and boxplots to visualize relationships and compare model behaviors.

A Random Forest model with cross-validation was applied to assess predictive performance and feature importance. Results indicated that the Total Exposure Index was the dominant predictor, followed by particulate matter and CO. Correlation analysis revealed a strong positive relationship between total exposure and predicted impact, emphasizing the significance of overall pollutant burden in shaping modeled neurodevelopmental outcomes.

Although synthetic, this dataset demonstrates the utility of machine learning approaches in environmental health research. It provides a structured, transparent, and reproducible framework that can be adapted to real-world monitoring data. The methodology supports method development, sensitivity analysis, and policy-relevant modeling, aligning with current trends in data-driven environmental epidemiology. By highlighting key exposure drivers and interactions, the study contributes to a growing evidence base informing public health protection and regulatory decision-making in the context of vulnerable populations, particularly children. The approach can also be extended to diverse geographical regions or pollutant mixtures. This enhances its value as a flexible educational and research resource.
DOI: 10.3535/mf6-8hm-dhz
title: Rumex hydrolapathum (Scop.) Huds.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/2by-bgf-n67
title: Reynoutria × bohemica Chrtek & Chrtková

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/aa2-5n8-e5b
title: Polycarpon tetraphyllum subsp. tetraphyllum

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/5am-5jd-x0h
title: Campanula cervicaria L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/8a4-dwd-mgx
title: Pentanema squarrosum (L.) D. Gut. Larr., Santos-Vicente, Anderb., E. Rico & M. M. Mart. Ort.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/gkc-bzk-h25
title: Reynoutria japonica Houtt.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/t5g-0l5-jyq
title: Rhamnus cathartica L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/m6d-n1a-le7
title: Echinops sphaerocephalus subsp. sphaerocephalus

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.5517/cc5sjs7
title: CCDC 172539: Experimental Crystal Structure Determination

description: Related Article: Kyu-Tae Chang, Yong Hyun Choi, Seung-Ho Kim, Yong-Jin Yoon, Woo Song Lee|2002|J.Chem.Soc.,Perkin Trans.1||207|
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: 10.3535/4q8-qr8-4lr
title: Petasites hybridus (L.) G. Gaertn., B. Mey. & Scherb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ch8-lr1-5js
title: Sagina procumbens L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.5517/cc5qzf8
title: CCDC 171040: Experimental Crystal Structure Determination

description: Related Article: C.E.Elliott, D.O.Miller, D.J.Burnell|2002|J.Chem.Soc.,Perkin Trans.1||217|
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/cc5qzg9
title: CCDC 171041: Experimental Crystal Structure Determination

description: Related Article: C.E.Elliott, D.O.Miller, D.J.Burnell|2002|J.Chem.Soc.,Perkin Trans.1||217|
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/cc5qzhb
title: CCDC 171042: Experimental Crystal Structure Determination

description: Related Article: C.E.Elliott, D.O.Miller, D.J.Burnell|2002|J.Chem.Soc.,Perkin Trans.1||217|
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: 10.3535/93r-0ky-6gj
title: Crepis vesicaria subsp. taraxacifolia (Thuill.) Thell.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/r51-5fc-dgb
title: Portulaca oleracea L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.5517/cc5m1jb
title: CCDC 167261: Experimental Crystal Structure Determination

description: Related Article: A.G.Al-Sehemi, R.S.Atkinson, J.Fawcett|2002|J.Chem.Soc.,Perkin Trans.1||257|
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/cc5vhcv
title: CCDC 174417: Experimental Crystal Structure Determination

description: Related Article: C.E.Elliott, D.O.Miller, D.J.Burnell|2002|J.Chem.Soc.,Perkin Trans.1||217|
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: 10.3535/4ba-xpm-gvj
title: Picris hieracioides subsp. umbellata (Schrank) Ces.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/p0d-9yp-tkc
title: Campanula latifolia L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.5517/cc5m1kc
title: CCDC 167262: Experimental Crystal Structure Determination

description: Related Article: A.G.Al-Sehemi, R.S.Atkinson, J.Fawcett|2002|J.Chem.Soc.,Perkin Trans.1||257|
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/cc5m1ld
title: CCDC 167263: Experimental Crystal Structure Determination

description: Related Article: A.G.Al-Sehemi, R.S.Atkinson, J.Fawcett|2002|J.Chem.Soc.,Perkin Trans.1||257|
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.