cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2pt5k8
title: CCDC 2496850: Experimental Crystal Structure Determination

description: Related Article: Yanru Wu, Chuang Li, Junlin He, Yuanxu Liu, Ningwei Wang, Weiwei Fang, Lei Zhang, Xiao-Yu Liu, Yong Qin|2026|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c19459
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.cc2pt8h9
title: CCDC 2496941: Experimental Crystal Structure Determination

description: Related Article: Egor A. Sosunov, Ivan V. Skabitsky, Andrei V. Churakov, Maxim A. Faraonov, Dmitri V. Konarev, Akihiro Otsuka, Hiroshi Kitagawa, Ilya A. Yakushev|2026|Cryst.Growth Des.|||doi:10.1021/acs.cgd.5c01570
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.cc2pt8jb
title: CCDC 2496942: Experimental Crystal Structure Determination

description: Related Article: Egor A. Sosunov, Ivan V. Skabitsky, Andrei V. Churakov, Maxim A. Faraonov, Dmitri V. Konarev, Akihiro Otsuka, Hiroshi Kitagawa, Ilya A. Yakushev|2026|Cryst.Growth Des.|||doi:10.1021/acs.cgd.5c01570
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.cc2pt8kc
title: CCDC 2496943: Experimental Crystal Structure Determination

description: Related Article: Egor A. Sosunov, Ivan V. Skabitsky, Andrei V. Churakov, Maxim A. Faraonov, Dmitri V. Konarev, Akihiro Otsuka, Hiroshi Kitagawa, Ilya A. Yakushev|2026|Cryst.Growth Des.|||doi:10.1021/acs.cgd.5c01570
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.cc2ptr4f
title: CCDC 2497395: Experimental Crystal Structure Determination

description: Related Article: P. Gangadhar, M. Praveen, K. Narendra, P. Amesh, A. Aditya Prasad|2026|J.Mol.Struct.|1358||doi:10.1016/j.molstruc.2026.145243
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.cc2pvg56
title: CCDC 2498078: Experimental Crystal Structure Determination

description: Related Article: Bo-Yi Fan, Cui Su, Xin Lan, Su-Peng Guo, Tian-Zi Qi, Jin-Ping Gu, Xin- Yu Wang, Bin Lin, Min Yang, Guang-Tong Chen, Jia-Lie Luo, Jian-Zhong Yu, Wen-Li Wang|2026|J.Mol.Struct.|1358|145255|doi:10.1016/j.molstruc.2026.145255
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.cc2pw8jd
title: CCDC 2498864: Experimental Crystal Structure Determination

description: Related Article: C. Golz|2025|Acta Crystallogr.,Sect.E:Cryst.Commun.|81|1131|doi:10.1107/S2056989025009533
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.cc2pw9yv
title: CCDC 2498908: Experimental Crystal Structure Determination

description: Related Article: René Riedel, Robert J. Dillon, Logan Trowbridge, Shankar Ramaswamy, Vivek Vasudev, Marielle Sewell, Veronica Carta, Mariona Sodupe, Xavier Solans-Monfort, Christopher J. Bardeen, Richard R. Schrock, Matthew P. Conley|2026|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c19313
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.cc2pw9zw
title: CCDC 2498909: Experimental Crystal Structure Determination

description: Related Article: René Riedel, Robert J. Dillon, Logan Trowbridge, Shankar Ramaswamy, Vivek Vasudev, Marielle Sewell, Veronica Carta, Mariona Sodupe, Xavier Solans-Monfort, Christopher J. Bardeen, Richard R. Schrock, Matthew P. Conley|2026|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c19313
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.cc2px852
title: CCDC 2499814: Experimental Crystal Structure Determination

description: Related Article: Ajeet Kumar Sharma, Panaha, K.R. Justin Thomas, Cheng-Jui Wu, Dian Luo, Shun-Wei Liu, Chih-Hsin Chen|2026|Dyes Pigm.|248||doi:10.1016/j.dyepig.2026.113556
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.cc2px863
title: CCDC 2499815: Experimental Crystal Structure Determination

description: Related Article: Ajeet Kumar Sharma, Panaha, K.R. Justin Thomas, Cheng-Jui Wu, Dian Luo, Shun-Wei Liu, Chih-Hsin Chen|2026|Dyes Pigm.|248||doi:10.1016/j.dyepig.2026.113556
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.cc2pn4tb
title: CCDC 2492022: Experimental Crystal Structure Determination

description: Related Article: Kelin Yang, Puying Luo, Yan Hong, Liu Yang, Yiyuan Peng, Qiuping Ding|2026|J.Org.Chem.|||doi:10.1021/acs.joc.5c02589
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.cc2pzz8y
title: CCDC 2502421: Experimental Crystal Structure Determination

description: Related Article: Fang‐Jiang Cui, Dong‐Dong Liang, Xiang‐Fei Kong, Dong‐Liang Mo|2025|Adv.Synth.Catal.||e70250|doi:10.1002/adsc.70250
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.cc2q1486
title: CCDC 2503537: Experimental Crystal Structure Determination

description: Related Article: Bram Van Den Bossche, Nicolai Cramer|2026|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c20631
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.cc2q2gw5
title: CCDC 2504827: Experimental Crystal Structure Determination

description: Related Article: Elsa Z. Huebsch, Sebastian Acosta-Calle, Grant A. Richter, Jenna E. Halenda, Zoe E. Stuart, Chun-Hsing Chen, Alexander J.M. Miller|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c04638
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.cc2qjz08
title: CCDC 2518750: Experimental Crystal Structure Determination

description: Related Article: Miao Sun, Yunyang Yuan, Kewei Xu, Feng Zhan, Hongjian Zheng, Qingshan Chu, Weiwei Lou, Yun-Fang Yang, Yuanbin She, Guijie Li|2026|Chem.Eng.Journal|529||doi:10.1016/j.cej.2026.172868
description: Related Article: kewei xu|2025|CSD Communication|||
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: 10.15468/dl.gv2gta
title: Occurrence Download

description: A dataset containing 1028 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Yabea microcarpa",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1028 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008663-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r8x53h
title: Occurrence Download

description: A dataset containing 264 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acratocnus ye"
 ]
}

 The dataset includes 264 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008664-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7zm2ck
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zeravschania minjanensis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008665-260120142942310/datasets/export for details.
DOI: 10.15468/dl.p6na6u
title: Occurrence Download

description: A dataset containing 1005712 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus sylvestris",
 "Country is one of (Albania, Austria, Bosnia and Herzegovina, Belgium, Bulgaria, Belarus, Switzerland, Cyprus, Czechia, Germany, Denmark, Estonia, Spain, Finland, France, United Kingdom of Great Britain and Northern Ireland, Greece, Croatia, Hungary, Ireland, Italy, Lithuania, Luxembourg, Latvia, Moldova, Republic of, Montenegro, North Macedonia, Malta, Netherlands, Norway, Poland, Portugal, Romania, Serbia, Sweden, Slovenia, Slovakia, Türkiye, Ukraine, Kosovo)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1005712 records from 1891 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008635-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.nzs7h44r5
title: Human impact, climate and dispersal strategies determine plant invasion on islands

description: Aim: Biological invasions are likely determined by species dispersal
 strategies as well as environmental characteristics of a recipient region,
 especially climate and human impact. However, the contribution of climatic
 factors, human impact and dispersal strategies in driving invasion
 processes is still controversial and not well embedded in the existing
 theoretical considerations. Here, we study how climate, species dispersal
 strategies and human impact determine plant invasion processes on islands
 distributed in all major oceans in the context of directional ecological
 filtering. Location: Six mountainous, tropical and subtropical islands in
 three major oceans: Island of Hawai’i and Maui (Pacific), Tenerife and La
 Palma (Atlantic), La Réunion and Socotra (Indian Ocean). Taxon: Vascular
 Plants. Methods: We recorded 360 non-native species in 218 plots along
 roadside elevational transects covering the major temperature,
 precipitation and human impact (i.e. road density) gradients of the
 islands. We collected dispersal strategies for a majority of the recorded
 species and calculated the environmental niche per species using a
 hypervolume approach. Results: Non-native species’ generalism (i.e., mean
 community niche width) increased with precipitation, elevation and human
 impact but showed no relationship with temperature. Increasing
 precipitation led to environmental filtering of non-native species
 resulting in more generalist species under high precipitation conditions.
 We found no directional filtering for temperature but an optimum range of
 most species between 10 and 20°C. Niche widths of non-native species
 increased with the prevalence of certain dispersal strategies,
 particularly anemochory and anthropochory. Main conclusions: Plant
 invasion on tropical and subtropical islands seems to be mainly driven by
 precipitation and human impact, while temperature seems to be of little
 importance. Furthermore, anemochory and anthropochory are dispersal
 strategies associated with large niche widths of non-native species. Our
 study allows a more detailed look at the mechanisms behind directional
 ecological filtering of non-native plant species in non-temperature
 limited ecosystems.
DOI: 10.5061/dryad.573n5tb72
title: Supporting information for: The frequency and topology of pseudoorthologs

description: Phylogenetics has long relied on the use of orthologs, or genes related
 through speciation events, to infer species relationships. However,
 identifying orthologs is difficult because gene duplication can obscure
 relationships among genes. Researchers have been particularly concerned
 with the insidious effects of pseudoorthologs—duplicated genes that are
 mistaken for orthologs because they are present in a single copy in each
 sampled species. Because gene tree topologies of pseudoorthologs may
 differ from the species tree topology, they have often been invoked as the
 cause of counterintuitive results in phylogenetics. Despite these
 perceived problems, no previous work has calculated the probabilities of
 pseudoortholog topologies, or has been able to circumscribe the regions of
 parameter space in which pseudoorthologs are most likely to occur. Here,
 we introduce a model for calculating the probabilities and branch lengths
 of orthologs and pseudoorthologs, including concordant and discordant
 pseudoortholog topologies, on a rooted three-taxon species tree. We show
 that the probability of orthologs is high relative to the probability of
 pseudoorthologs across reasonable regions of parameter space. Furthermore,
 the probabilities of the two discordant topologies are equal and never
 exceed that of the concordant topology, generally being much lower. We
 describe the species tree topologies most prone to generating
 pseudoorthologs, finding that they are likely to present problems to
 phylogenetic inference irrespective of the presence of pseudoorthologs.
 Overall, our results suggest that pseudoorthologs are less of a problem
 for phylogenetics than currently believed, which should allow researchers
 to greatly increase the number of genes used in phylogenetic inference.
DOI: 10.5061/dryad.kwh70rz36
title: Small mammal ARTS: Orion receiver data for site radiomapping and vole tracking, and scripts and results for localization and activity estimates

description: This data set accompanies “An Automated Radio-Telemetry System (ARTS) for
 Monitoring Small Mammals”.  The behavior of small fossorial
 mammals, such as voles, is extremely difficult to observe in natural
 environments. Small mammals were traditionally studied with labor
 intensive methods such as trapping and recapture or radio telemetry via
 homing, which require week/months of work and produce static home range
 estimates. In pursuit of better understanding natural history and
 behavioral ecology we implemented an automated radio telemetry system
 (ARTS) to continuously monitor small mammals. We used an isotropic antenna
 array coupled with broadband receivers to estimate animal positions with
 nonlinear least squares, nonparameteric, and Bayesian trilateration
 methods. We then used Lomb-Scargle periodograms to estimate activity
 patterns of freely-behaving Prairie voles.
description: Automated radiotelemetry was collected with Orion receivers
 (Sigma Eight, Ontario Canada), processing and analysis was performed in R.
 The study site was mapped using a test transmitter and 48 Prairie voles
 were tracked using the ARTS. The accuracy of localizations based on
 nonlinear least square trilateration, "Bayesian" trilateration,
 and kernel-density estimate based nonparameteric trilateration were
 compared. Using the Bayesian trilateration estimates of location the daily
 patterns of activity of freely behaving Prairie voles were analyzed using
 Lomb-Scargle periodograms. See “An Automated Radio-Telemetry System (ARTS)
 for Monitoring Small Mammals” and its accompanying supplement for
 details.
description: Data is submitted in three zipped folders, data, src, and
 results.  Unprocessed Orion readings are in the "data/Raw Orion
 Automated Tracking Data".  Radiomapping position data is in the
 "data/All Radiomapping Keyes". Animal and transmitters data are
 in the "data/2014 Animal Data".  Source code for analysis is
 located in src.  Localization accuracy and activity analysis results are
 located in results.
DOI: 10.5061/dryad.gmsbcc2mx
title: Rivers as the largest source of mercury to coastal oceans worldwide

description: Mercury is a potent neurotoxic substance and accounts for 250,000
 intellectual disabilities annually. Worldwide, coastal fisheries
 contribute the majority of human exposure to mercury through fish
 consumption. Recent global mercury cycling and risk models attribute all
 the mercury loading to the ocean to atmospheric deposition. Nevertheless,
 new regional research has noted that the riverine mercury export to
 coastal oceans may also be significant to the oceanic burden of mercury.
 Here we construct an unprecedented high-spatial-resolution dataset
 estimating global river mercury and methylmercury exports. We find that
 rivers annually deliver 1,000 (minimum–maximum: 893–1,224) Mg mercury to
 coastal oceans, threefold greater than atmospheric deposition.
 Furthermore, high flow events, which are becoming more common with climate
 change, are responsible for a disproportionately large percentage of the
 export. Coastal oceans constitute 0.2% of the entire ocean volume but
 receive 27% of the external mercury input to the ocean. We estimate that
 the river mercury export could be responsible for a net annual export of
 350 (interquartile range: 52–640) Mg mercury across the coastal–open-ocean
 boundary, although there is still high uncertainty around this estimate.
 Our results show that river export is the largest source of mercury to
 coastal oceans worldwide, and continued mercury risk modelling should
 incorporate the impact of rivers.
DOI: 10.25338/b85w4h
title: Rice-recombinant butyrylcholinesterase (rrBChE) production dataset

description: We propose a method for analyzing the variability in smooth, possibly
 nonlinear, functionals associated with a set of product production
 trajectories measured under different experimental conditions. The key
 challenge is to make meaningful inference on these parameters across
 different experimental conditions when only a limited number of
 measurements in time are collected for each treatment, and when there are
 only a few, or no, replicates available. For this purpose we adopt a
 modeling approach by representing the production trajectories in a
 B-spline basis, and develop a bootstrap-based inference procedure for the
 parameters of interest, also accounting for multiple comparisons. The
 methodology is applied to study two types of quantities of interest --
 ''time to harvest'' and ''maximal
 productivity'' in the context of an experiment on the production
 of certain recombinant proteins under laboratory conditions. We
 complement the findings by extensive numerical experiments that
 look into the effects of different types of bootstrap procedures
 and associated schemes for computing p-values for tests of hypotheses.
DOI: 10.5061/dryad.djh9w0w00
title: Historical rice farming in China linked to contemporary polygenic score differences

description: Following domestication in the lower Yangtze River valley 9,400 years ago,
 rice farming spread throughout China and changed lifestyle patterns among
 Neolithic populations. Here we report evidence that the advent of rice
 domestication and cultivation may have shaped humans not only culturally
 but also genetically. Leveraging recent findings from molecular genetics,
 we construct a number of polygenic scores of behavioural traits and
 examine their associations with rice cultivation based on a sample of
 4,101 individuals recently collected from Mainland China. A total of nine
 polygenic traits and genotypes are investigated in this study, including
 polygenic scores of height, body mass index, depression, time discounting,
 reproduction, educational attainment, risk preference, ADH1B rs1229984 and
 ALDH2 rs671. Two-stage least squares estimates of the county-level
 percentage of cultivated land devoted to paddy rice on the polygenic score
 of age at first birth (b = -0.029, p = 0.021) and ALDH2 rs671 (b = 0.182,
 p &lt; 0.001) are both statistically significant and robust to a wide
 range of potential confounds and alternative explanations. These findings
 imply that rice farming may influence human evolution in relatively recent
 human history.