cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.gvpv6v
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypericum perforatum L.",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 71 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105323-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/k65-z7y-961
title: Metaniphargus (Caribdzia) longipes christophorensis Stock, 1977

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mp3-dpz-y1m
title: Elasmopus A. Costa, 1853

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w9j-0tr-21g
title: Hyale Rathke, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fz9-pz1-wyj
title: Gammarus lacustris G.O. Sars, 1863

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tzl-cd8-q0s
title: Pontogammarus borceae Cărăușu, 1943

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/smv-23l-qx4
title: Chelicorophium spinulosum (G.O. Sars, 1896)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.pc3que
title: Occurrence Download

description: A dataset containing 274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypericum perforatum L.",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 274 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105325-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/hra-12m-zn4
title: Ericthonius H. Milne Edwards, 1830

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jdm-kha-cr9
title: Gammarus tigrinus Sexton, 1939

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/thp-fnn-h4p
title: Pseudoniphargus sorbasiensis Notenboom, 1987

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/aem-s4l-wf1
title: Pseudoniphargus sorbasiensis Notenboom, 1987

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/g06-vkp-1ea
title: Elasmopus A. Costa, 1853

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.5zq9pb
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Obesogammarus obesus (G.O.Sars, 1894)",
 "Country is Hungary",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105321-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/0g7-m1y-djz
title: Dikerogammarus haemobaphes (Eichwald, 1841)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6w1-hnn-sqs
title: Pseudoniphargus Chevreux, 1901

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6gw-29q-0kf
title: Metaniphargus (Metaniphargus) curasavicus orientis Stock, 1977

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gvw-sjj-sme
title: Gammarus aequicauda (Martynov, 1931)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/490-292-dza
title: Pseudoniphargus guernicae Notenboom, 1986

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/h9d-h12-5sl
title: Metaniphargus (Metaniphargus) curasavicus curasavicus Stephensen, 1933

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/b4n-gk2-l2q
title: Metaniphargus (Caribdzia) longipes christophorensis Stock, 1977

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/b7t-w2x-bss
title: Amphilochidae Boeck, 1871

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pcs-lr4-2gt
title: Pseudoniphargus gracilis Notenboom, 1987

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3g9-fsg-nbh
title: Palmorchestia hypogaea Stock & Martin, 1988

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8j1-blq-t59
title: Aoridae Stebbing, 1899

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wm0-n6n-met
title: Caprellidae Leach, 1814

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dzm-a9d-z72
title: Podocerus Leach, 1814

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/y3z-a70-acz
title: Trinorchestia longiramus Jo, 1988

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1lm-vye-bg7
title: Melita palmata (Montagu, 1804)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1ls-ptc-flg
title: Gammarus lacustris G.O. Sars, 1863

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/a4y-sbj-8ed
title: Orchestia gammarellus (Pallas, 1766)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/k34-twv-wsl
title: Gammarus roeselii Gervais, 1835

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tf3-x4b-chx
title: Gammarus pulex (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rfp-z1q-019
title: Gammarus gauthieri (S. Karaman, 1935)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/y3m-jxq-88a
title: Gammarus gauthieri (S. Karaman, 1935)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4q3-czz-ecp
title: Stenothoe Dana, 1852

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/akz-sye-lph
title: Melita Leach, 1814

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pqy-abh-9xx
title: Elasmopus A. Costa, 1853

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gr5-jl3-j5f
title: Gammarus pretzmanni Mateus & Mateus, 1990

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rkv-aj5-kmt
title: Ericthonius H. Milne Edwards, 1830

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ncs-tck-223
title: Chelicorophium curvispinum (G.O. Sars, 1895)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wfp-79g-2xn
title: Quadrimaera Krapp-Schickel & Ruffo, 2000

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5517/ccdc.csd.cc2mbbt4
title: CCDC 2423016: Experimental Crystal Structure Determination

description: Related Article: Julieth Bellaizac‐Riascos, Alejandro Cortés‐Villena, Raquel E. Galian, Julia Pérez‐Prieto, M. Consuelo Jiménez, Raúl Pérez‐Ruiz
|2025|Asian J.Org.Chem|14|e00224|doi:10.1002/ajoc.202500224
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.cc2mclyk
title: CCDC 2424229: Experimental Crystal Structure Determination

description: Related Article: Daksh S. Davas, Laxmikanta Mallick, Dinesh K. Gopalakrishnan, Biswarup Chakraborty, Janakiram Vaitla|2025|Angew.Chem.,Int.Ed.|64|e202507189|doi:10.1002/anie.202507189
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.cc2mcqmc
title: CCDC 2424343: Experimental Crystal Structure Determination

description: Related Article: Taisiya S. Sukhikh, Samara Urkasym kyzy, Ilya V. Korolkov, Vladislav V. Krisyuk|2026|J.Mol.Struct.|1355||doi:10.1016/j.molstruc.2025.145058
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.cc2mcqnd
title: CCDC 2424344: Experimental Crystal Structure Determination

description: Related Article: Taisiya S. Sukhikh, Samara Urkasym kyzy, Ilya V. Korolkov, Vladislav V. Krisyuk|2026|J.Mol.Struct.|1355||doi:10.1016/j.molstruc.2025.145058
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.cc2mqljh
title: CCDC 2434787: Experimental Crystal Structure Determination

description: Related Article: Bao-Liang Han, Fahri Alkan, Zhi-Rui Yuan, Paritosh Mahato, Zhi Wang, Chen-Ho Tung, Di Sun|2025|Angew.Chem.,Int.Ed.|64|e202507412|doi:10.1002/anie.202507412
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.cc2n0phw
title: CCDC 2443528: Experimental Crystal Structure Determination

description: Related Article: Chunlin Xiao, Xue Li, Naohiro Okamoto, Yuichiro Kobayashi, Tomohiko Nishiuchi, Yosuke Tani, Hiroyasu Yamaguchi|2025|Angew.Chem.,Int.Ed.|64|e202513783|doi:10.1002/anie.202513783
description: Related Article: Chunlin Xiao, Xue Li, Naohiro Okamoto, Yuichiro Kobayashi, Tomohiko Nishiuchi, Yosuke Tani, Hiroyasu Yamaguchi|2025|Angew.Chem.,Int.Ed.|64|e202513783|doi:10.1002/anie.202513783
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.cc2n3m0f
title: CCDC 2446334: Experimental Crystal Structure Determination

description: Related Article: Babasaheb Sopan Gore, Wan-Jing Liu, Lin-Wei Pan, Chien-Hung Li, Jeh-Jeng Wang|2025|J.Org.Chem.|||doi:10.1021/acs.joc.5c02263
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.cc2n3trc
title: CCDC 2446543: Experimental Crystal Structure Determination

description: Related Article: Babasaheb Sopan Gore, Wan-Jing Liu, Lin-Wei Pan, Chien-Hung Li, Jeh-Jeng Wang|2025|J.Org.Chem.|||doi:10.1021/acs.joc.5c02263
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: 10.6084/m9.figshare.30359622
title: The Quantile Integrated Depth with Applications to Noisy Functional Data

description: Functional data analysis involves data for which the basic unit of observation is a function or image. The development of robust exploratory tools and inferential methods is very much needed since few assumptions can be made about the generating process. Data depth, a well-known nonparametric tool for analyzing functional data, provides a rigorous method for ranking a sample of curves from the center outwards, allowing for robust inference and outlier detection. Several notions of depth for functional data have been introduced in the last few decades. Here we develop a new family of depths, termed quantile integrated depth (QID), that are based on integrating up to the <i>K</i>th quantile of the univariate depths. We show that this new family of depths has desirable properties, including a type of invariance, maximality at the center, and monotonicity with respect to the deepest point. In addition, since functional data are commonly observed with noise, we explore the effect of noise on different notions of depth. Compared to alternatives, the proposed QID is shown to be robust and perform well on noisy functional data. We also illustrate the advantages of using QIDK to identify potential hard-to-detect shape outliers.
DOI: 10.6084/m9.figshare.30359622.v2
title: The Quantile Integrated Depth with Applications to Noisy Functional Data

description: Functional data analysis involves data for which the basic unit of observation is a function or image. The development of robust exploratory tools and inferential methods is very much needed since few assumptions can be made about the generating process. Data depth, a well-known nonparametric tool for analyzing functional data, provides a rigorous method for ranking a sample of curves from the center outwards, allowing for robust inference and outlier detection. Several notions of depth for functional data have been introduced in the last few decades. Here we develop a new family of depths, termed quantile integrated depth (QID), that are based on integrating up to the <i>K</i>th quantile of the univariate depths. We show that this new family of depths has desirable properties, including a type of invariance, maximality at the center, and monotonicity with respect to the deepest point. In addition, since functional data are commonly observed with noise, we explore the effect of noise on different notions of depth. Compared to alternatives, the proposed QID is shown to be robust and perform well on noisy functional data. We also illustrate the advantages of using QIDK to identify potential hard-to-detect shape outliers.
DOI: 10.7924/r4js9z46n
title: Data from: Longitudinal Assessment of Quantitative Metrics for Skeletal Muscle Health using 3D Rotational Shear Wave Elasticity Imaging (3D-RSWEI) in in vivo vastus lateralis

description: Measurements of shear wave speed and fiber tilt angle over three months using ultrasonic 3D-rotational shear wave elasticity imaging. This file stores all data from a longitudinal ultrasonic shear wave elasticity imaging (SWEI) study conducted in Summer 2025. The data was collected over a three month period to characterize the longitudinal variability of passive muscle mechanics in healthy volunteer muscle.

This study was conducted in the healthy vastus lateralis of ten participants over 6 timepoints which were separated by 2 weeks each.

The data presented is measured shear wave speeds (SWS) and fiber tilt angle from 3D-rotational SWEI (3D-RSWEI) acquisitions at each time point. The data is sorted by subject ID, timepoint, and knee flexion angle.
DOI: 10.6084/m9.figshare.30359622.v1
title: The Quantile Integrated Depth with applications to noisy functional data

description: Functional data analysis involves data for which the basic unit of observation is a function or image. The development of robust exploratory tools and inferential methods is very much needed since few assumptions can be made about the generating process. Data depth, a well-known non-parametric tool for analyzing functional data, provides a rigorous method for ranking a sample of curves from the center outwards, allowing for robust inference and outlier detection. Several notions of depth for functional data have been introduced in the last few decades. Here we develop a new family of depths, termed quantile integrated depth (QID), that are based on integrating up to the <i>K</i>-th quantile of the univariate depths. We show that this new family of depths has desirable properties, including a type of invariance, maximality at the center, and monotonicity with respect to the deepest point. In addition, since functional data are commonly observed with noise, we explore the effect of noise on different notions of depth. Compared to alternatives, the proposed QID is shown to be robust and perform well on noisy functional data. We also illustrate the advantages of using QIDK to identify potential hard-to-detect shape outliers.
DOI: 10.5517/ccdc.csd.cc2n60hd
title: CCDC 2448643: Experimental Crystal Structure Determination

description: Related Article: Patrick Mangundu, Kate E. Tanner, Andrew Bloomfield, Peter J. Barnard, Keith F. White, Curtis C. Ho, Nageshwar R. Yepuri, Richard A. Mole, Rebecca O. Fuller|2025|Dalton Trans.|54|10455|doi:10.1039/D5DT01067E
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.cc2nfqmg
title: CCDC 2456056: Experimental Crystal Structure Determination

description: Related Article: Yuto Eguchi, Tadahiro Hirami, Masato Morita, Motohiro Yasui, Tsutomu Konno, Shigeyuki Yamada|2025|ChemPlusChem|90|e202500438|doi:10.1002/cplu.202500438
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.cc2nfwdd
title: CCDC 2456204: Experimental Crystal Structure Determination

description: Related Article: Merve Şimşek, Ömer Tamer, Hatice Vural, Davut Avcı, Erdoğan Tarcan, Muhammad Latif, Necmi Dege, Yusuf Atalay|2025|J.Mol.Struct.|||doi:10.1016/j.molstruc.2025.145068
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.cc2ngq1x
title: CCDC 2456999: Experimental Crystal Structure Determination

description: Related Article: Jiayin Sun, Shanshan Liu, Yixuan Li, Wenjing Zhang, Wei Qin|2026|Spectrochim.Acta,Part A|349||doi:10.1016/j.saa.2025.127330
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.cc2nnzbn
title: CCDC 2463022: Experimental Crystal Structure Determination

description: Related Article: Rosemary J. Goodwin, Annie L. Colebatch, Nicholas G. White|2025|Angew.Chem.,Int.Ed.|64|e202513159|doi:10.1002/anie.202513159
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.cc2nnzcp
title: CCDC 2463023: Experimental Crystal Structure Determination

description: Related Article: Rosemary J. Goodwin, Annie L. Colebatch, Nicholas G. White|2025|Angew.Chem.,Int.Ed.|64|e202513159|doi:10.1002/anie.202513159
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: 10.6084/m9.figshare.31021332
title: Constrained Bayesian Optimization with Improvement Policy

description: In Bayesian optimization, Expected Improvement (EI) is widely used for unconstrained optimization but lacks effective handling of constraints. Existing approaches modify EI by incorporating feasibility probabilities, requiring an initial feasible point, and often restricting exploration to the feasible region. This article introduces a novel improvement-based acquisition function designed to address these limitations. The proposed function strikes a balance between exploration and exploitation across both feasible and infeasible regions. We evaluate our framework against state-of-the-art methods on four benchmark problems and apply it to groundwater remediation in hydrology and hyperparameter tuning of neural networks.
DOI: 10.6084/m9.figshare.31021332.v1
title: Constrained Bayesian Optimization with Improvement Policy

description: In Bayesian optimization, Expected Improvement (EI) is widely used for unconstrained optimization but lacks effective handling of constraints. Existing approaches modify EI by incorporating feasibility probabilities, requiring an initial feasible point, and often restricting exploration to the feasible region. This article introduces a novel improvement-based acquisition function designed to address these limitations. The proposed function strikes a balance between exploration and exploitation across both feasible and infeasible regions. We evaluate our framework against state-of-the-art methods on four benchmark problems and apply it to groundwater remediation in hydrology and hyperparameter tuning of neural networks.