cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.x2dnek
title: Occurrence Download

description: A dataset containing 32008 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acris blanchardi"
 ]
}

 The dataset includes 32008 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001685-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.nn94830
title: Data from: Differential sensitivity to in vitro inhibition of cytochrome P450 aromatase (CYP19) activity among 18 freshwater fishes

description: There is significant concern regarding potential impairment of fish
 reproduction associated with endocrine disrupting chemicals. Aromatase
 (CYP19) is a steroidogenic enzyme involved in the conversion of androgens
 to estrogens. Inhibition of aromatase by chemicals can result in reduced
 concentrations of estrogens leading to adverse reproductive effects. These
 effects have been extensively investigated in a small number of laboratory
 model fishes, such as fathead minnow (Pimephales promelas), Japanese
 medaka (Oryzias latipes), and zebrafish (Danio rerio). But, differences in
 sensitivity among species is largely unknown. Therefore, this study took a
 first step towards understanding potential differences in sensitivity to
 aromatase inhibitors among fishes. Specifically, a standard in vitro
 aromatase inhibition assay using subcellular fractions of whole tissue
 homogenates was used to evaluate the potential sensitivity of eighteen
 phylogenetically diverse species of freshwater fish to the nonsteroidal
 aromatase inhibitor fadrozole. Sensitivity to fadrozole ranged by more
 than 52-fold among these species. Five species were further investigated
 for sensitivity to up to four additional nonsteroidal aromatase
 inhibitors, letrozole, imazalil, prochloraz, and propiconazole. Potencies
 of each of these chemicals relative to fadrozole ranged by up to two
 orders of magnitude among the five species. Fathead minnow, Japanese
 medaka, and zebrafish were among the least sensitive to all the
 investigated chemicals; therefore, ecological risks of aromatase
 inhibitors derived from these species might not be adequately protective
 of more sensitive native fishes. This information could guide more
 objective ecological risk assessments of native fishes to chemicals that
 inhibit aromatase.
description: Doering et al
 Supplementary DataThe data file includes
 supplementary data, including detailed information on the species used,
 basal aromatase activity values, maximal percent inhibition, assay
 replication, Calculated IC50 values, correlations, and comparison to
 previously published IC50s.
DOI: 10.15468/dl.jxeknb
title: Occurrence Download

description: A dataset containing 282 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Aedeomyia squamipennis",
 "Year is greater than or equal to 1980"
 ]
}

 The dataset includes 282 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001687-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.8j8rt37
title: Data from: Interaction engineering: non-trophic effects modify interactions in an insect galler community

description: 1. Theory suggests that non-trophic interactions can be a major mechanism
 behind community stability and persistence, but community-level empirical
 data are scarce, particularly for effects on species interactions mediated
 through changes in the physical environment. 2. Here we explored how
 ecosystem engineering effects can feed back to the engineer, not only
 modulating the engineer’s population density (node modulation) but also
 affecting it’s interactions with other species (link modulation). 3. Gall
 induction can be viewed as ecosystem engineering since galls serve as
 habitat for other species. In a community-level field experiment, we
 generated treatments with reduced or elevated ecosystem engineering by
 removing or adding post-emergence galls to different plots of their host
 plant in the Brazilian Cerrado. We tested the effect of post-emergence
 galls on the galler, as well as on the galler-parasitoid and galler-aphid
 interactions. 4. The manipulation of post-emergence galls had little
 effect on the galler - abundance and survivorship were not affected, and
 gall volume changed only slightly - but modified interactions involving
 the galler, parasitoid wasps, and inquiline aphids. Aphid inquilines
 negatively affected density-dependent parasitism rates (interaction
 modification) likely by killing parasitised galling larvae. Post-emergence
 galls interfered with aphid inquilinism - likely by the provision of
 alternative habitat for aphids – and thus interfered with the negative
 effect of aphids on parasitism (modification of an interaction
 modification). 5. This work is one of the few studies to demonstrate
 experimentally the role played by environmentally-mediated interaction
 modification at a community level in the field. Moreover, by manipulating
 a species’ ecosystem engineering effect (post-emergence galls) instead of
 the species itself, we demonstrate the novel result that populations can
 be regulated by non-trophic effects initiated by their own activities that
 alter their interaction with other species. This reveals that indirect
 interactions mediated via the environment offer new pathways of feedback
 loops for population regulation. Our results indicate that interaction
 modification has the potential to be a key regulatory mechanism underlying
 interaction variation in nature, and play a major role in community
 structure, dynamics, and stability.
description: Galler, parasitism, and
 inquilinism dataData from experimental
 manipulation of post-emergence galls on the host plant species Baccharis
 dracunculifolia, carried out in Serra do Cipó, Minas Gerais State,
 southeast Brazil. In the experiment, we generated treatments with a
 reduced or elevated abundance of post-emergence galls in different plots
 of the host plant. We measured galler survivorship and volume as well as
 parasitism by wasps and inquilinism by aphids.Data_Barbosa
 et_al_2019.zip
DOI: 10.5061/dryad.k5r20q0
title: Data from: Evaluating population genomic candidate genes underlying flowering time in Arabidopsis thaliana using T-DNA insertion lines

description: Population genomic scans have emerged as a powerful tool to detect regions
 of the genome that are potential targets of selection. Despite the success
 of genomic scans in identifying novel lists of loci potentially underlying
 adaptation, few studies proceed to validate the function of these
 candidate genes. In this study, we used T-DNA insertion lines to evaluate
 the effects of 27 candidate genes on flowering time in North American
 accessions of Arabidopsis thaliana. We compared the flowering time of
 T-DNA insertion lines which knock-out the function of a candidate gene
 obtained from population genomic studies to a wildtype under long- and
 short-day conditions. We also did the same for a collection of randomly
 chosen genes that had not been identified as candidates. We validated the
 well-known effect of long-day conditions in accelerating flowering time
 and found that gene disruption caused by insertional mutagenesis tends to
 delay flowering. Surprisingly, we found that knockouts in random genes
 were just as likely to produce significant phenotypic effects as knockouts
 in candidate genes. T-DNA insertions at a handful of candidate genes that
 had previously been identified as outlier loci showed significant delays
 in flowering time under both long and short days, suggesting that they are
 promising candidates for future investigation.
description: DryadExcel file with three
 worksheets. One has a readme and description of all variable names, data
 types, etc. Second worksheet has ATG and TDNA identifiers. Third worksheet
 has the phenotypic data.
DOI: 10.5061/dryad.10b64m4
title: Data from: Patch size as a niche dimension: aquatic insects behaviorally partition enemy-free space across gradients of patch size

description: Positive correlation of species richness with area is ubiquitous in
 nature, but the processes driving that relationship, and those
 constraining typical patterns, remain elusive. Patch size variation is
 pervasive in natural systems, and thus it is critical to understand how
 variation in patch size, as well as its potential interaction with factors
 like predation and isolation, affect community assembly. We crossed patch
 quality (fish presence/absence) with patch size to examine effects of
 quality, size, and their interaction on colonization by aquatic insects.
 Overall, beetles favored small, fishless patches, but individual species
 sorted across patch size, while hemipterans aggregated into large,
 fishless patches, producing sorting between Coleoptera and Hemiptera. Both
 size and predation risk generated significant variation in community
 structure and diversity. Patch size preferences for the 14 most abundant
 species, and pre-eminence of species turnover in patterns of
 beta-diversity, reinforce patch size as a driver of regional species
 sorting via habitat selection. Species sorting at the immigration stage
 plays a critical role in community assembly. Identifying patch size as a
 component of perceived quality establishes patch size as a critical niche
 dimension, and alters our view of its role in assembly dynamics, and the
 maintenance of local and regional diversity.
description: Resetarits et al. 2019
 American Naturalist dataExperimental data on
 patch size and perceived predation risk.
DOI: 10.5517/ccdc.csd.cc2k78bf
title: CCDC 2360474: Experimental Crystal Structure Determination

description: Related Article: Mahabarathi Subramaniyan, Sathish Thanigachalam, Shivabasayya V. Salimath, Selva Kumar Ramasamy, Kevin George, Madhvesh Pathak|2026|Dalton Trans.|55|1806|doi:10.1039/d5dt02277k
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.cc2lchgy
title: CCDC 2394330: Experimental Crystal Structure Determination

description: Related Article: Shashikant Tiwari, Ritika Sharma, Diwan S. Rawat|2025|Chem.Commun.|62|2343|doi:10.1039/d5cc06672g
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.cc2lmbj3
title: CCDC 2401865: Experimental Crystal Structure Determination

description: Related Article: Tao Huang, Hong Wu, Ping Qing, Xiaosen Wang, Wei Pan, Liqiong Luo, Rufang Peng, Bo Jin|2025|Dalton Trans.|55|1855|doi:10.1039/d5dt01939g
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: 10.48366/r1581061
title: Discovery Learning Model in Education

description: Five research papers highlight the peculiarities and implementation of the Discovery Learning Model in Education.
DOI: 10.5517/ccdc.csd.cc2m09sr
title: CCDC 2413374: Experimental Crystal Structure Determination

description: Related Article: Jia-Hong She, Mi-Zhen Sun, Shu-Ran Zhang, Guang-Juan Xu, Yan-Hong Xu, Wei Xie, Xiao-Li Hu, Zhong-Min Su|2026|Dalton Trans.|55|1891|doi:10.1039/d5dt02313k
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.cc2m5cqx
title: CCDC 2418239: Experimental Crystal Structure Determination

description: Related Article: Yi Gong, Kaname Shibata, Kenji Michiue, Joseph Gbertyo, Zaid Rais, Mark R. J. Elsegood, Timothy J. Prior, Carl Redshaw|2025|Dalton Trans.|55|1866|doi:10.1039/d5dt02846a
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.cc2m5cry
title: CCDC 2418240: Experimental Crystal Structure Determination

description: Related Article: Yi Gong, Kaname Shibata, Kenji Michiue, Joseph Gbertyo, Zaid Rais, Mark R. J. Elsegood, Timothy J. Prior, Carl Redshaw|2025|Dalton Trans.|55|1866|doi:10.1039/d5dt02846a
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.cc2m5csz
title: CCDC 2418241: Experimental Crystal Structure Determination

description: Related Article: Yi Gong, Kaname Shibata, Kenji Michiue, Joseph Gbertyo, Zaid Rais, Mark R. J. Elsegood, Timothy J. Prior, Carl Redshaw|2025|Dalton Trans.|55|1866|doi:10.1039/d5dt02846a
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.cc2m5ct0
title: CCDC 2418242: Experimental Crystal Structure Determination

description: Related Article: Yi Gong, Kaname Shibata, Kenji Michiue, Joseph Gbertyo, Zaid Rais, Mark R. J. Elsegood, Timothy J. Prior, Carl Redshaw|2025|Dalton Trans.|55|1866|doi:10.1039/d5dt02846a
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.cc2m5cv1
title: CCDC 2418243: Experimental Crystal Structure Determination

description: Related Article: Yi Gong, Kaname Shibata, Kenji Michiue, Joseph Gbertyo, Zaid Rais, Mark R. J. Elsegood, Timothy J. Prior, Carl Redshaw|2025|Dalton Trans.|55|1866|doi:10.1039/d5dt02846a
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: 10.5061/dryad.k5463f0
title: Data from: Competitively mediated changes in male toad calls can depend on call structure

description: Many species of males aggregate in large groups where they signal to
 attract females. These large aggregations create intense competition for
 mates, and the simultaneous signaling by many individuals can impair any
 given male’s ability to attract females. In response to this situation,
 male signals can be modified, either evolutionarily or facultatively, such
 that the detectability of the signal is enhanced. The way in which signals
 are modified varies among even closely related species, yet few studies
 have evaluated what causes such variation. Here, we address this issue
 using male spadefoot toads (Spea multiplicata and S. bombifrons), which
 call to attract females. Using data from natural populations, we examined
 if, and how, male calls of three different call types (S. multiplicata
 with a slow call, S. bombifrons with a slow call, and S. bombifrons with a
 fast call) varied depending on competition with other males. We found
 that, in both call types consisting of slow calls, call pulse rate
 decreased with increasing competition. By contrast, in the call type
 consisting of fast calls, call rate decreased with increasing competition.
 Moreover, we found that the relationship between competition and male call
 effort—a measure of the energy that males expend in calling––differed
 between the call types. Such variation in male signals in response to
 competition can have important implications for explaining diversity in
 male signals and patterns of sexual selection.
description: Stirman_Pfennig_2019_call_dataThis includes the call data as well as the competition data used in Stirman and Pfennig, 2019Stirman_Pfennig_Data.csv
DOI: 10.5517/ccdc.csd.cc2m5cw2
title: CCDC 2418244: Experimental Crystal Structure Determination

description: Related Article: Yi Gong, Kaname Shibata, Kenji Michiue, Joseph Gbertyo, Zaid Rais, Mark R. J. Elsegood, Timothy J. Prior, Carl Redshaw|2025|Dalton Trans.|55|1866|doi:10.1039/d5dt02846a
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.cc2m5cx3
title: CCDC 2418245: Experimental Crystal Structure Determination

description: Related Article: Yi Gong, Kaname Shibata, Kenji Michiue, Joseph Gbertyo, Zaid Rais, Mark R. J. Elsegood, Timothy J. Prior, Carl Redshaw|2025|Dalton Trans.|55|1866|doi:10.1039/d5dt02846a
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.cc2mcznn
title: CCDC 2424592: Experimental Crystal Structure Determination

description: Related Article: Shashikant Tiwari, Ritika Sharma, Diwan S. Rawat|2025|Chem.Commun.|62|2343|doi:10.1039/d5cc06672g
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.cc2mfzrt
title: CCDC 2426517: Experimental Crystal Structure Determination

description: Related Article: Jiahui Du, Chengkai Ruan, Guifa Cui, Hongping Zhao, Chengyu He|2025|Chem.Commun.|62|2268|doi:10.1039/d5cc04967a
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.cc2n9f3j
title: CCDC 2451917: Experimental Crystal Structure Determination

description: Related Article: Ines Bennour, Victor Monnot, Philippe Schollhammer, Lucile Chatelain|2025|Dalton Trans.|55|1915|doi:10.1039/d5dt02885j
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.cc2n9f4k
title: CCDC 2451918: Experimental Crystal Structure Determination

description: Related Article: Ines Bennour, Victor Monnot, Philippe Schollhammer, Lucile Chatelain|2025|Dalton Trans.|55|1915|doi:10.1039/d5dt02885j
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: 10.5061/dryad.c7q3n2c
title: Data from: Lyme neuroborreliosis and bird populations in northern Europe

description: Many vector-borne diseases are transmitted through complex
 pathogen-vector-host networks, which makes it challenging to identify the
 role of specific host groups in disease emergence. Lyme borreliosis in
 humans is now the most common vector-borne zoonosis in the northern
 hemisphere. The disease is caused by multiple genospecies of Borrelia
 burgdorferi sensu lato bacteria transmitted by ixodid (hard) ticks, and
 the major host groups transmit Borrelia genospecies with different
 pathogenicity, causing variable clinical symptoms in humans. The health
 impact of a given host group is a function of the number of ticks it
 infects as well as the pathogenicity of the genospecies it carries. B.
 afzelii, with mainly small mammals as reservoirs, is the most common
 pathogen causing Lyme borreliosis, and it is often responsible for the
 largest proportion of infected host-seeking tick nymphs in Europe. The
 bird-borne B. garinii, though less prevalent in nymphal ticks, is more
 likely to cause Lyme neuroborreliosis, but whether B. garinii causes
 disseminated disease more frequently has not been documented. Based on
 extensive data of annual disease incidence across Norway from 1995-2017,
 we show here that 69 % of disseminated Lyme borreliosis cases were
 neuroborreliosis, which is three times higher than predicted from the
 infection prevalence of B. garinii in host-seeking ticks (21 %). The
 population estimate of migratory birds, mainly of thrushes, explained part
 of the annual variation in cases of neuroborreliosis, with a one-year time
 lag. We highlight the important role of the genospecies’ pathogenicity and
 the host associations for understanding the epidemiology of disseminated
 Lyme borreliosis.
description: Lyme disease data and
 covariatesLDdat2_vs2.csv
DOI: 10.5517/ccdc.csd.cc2n9f5l
title: CCDC 2451919: Experimental Crystal Structure Determination

description: Related Article: Ines Bennour, Victor Monnot, Philippe Schollhammer, Lucile Chatelain|2025|Dalton Trans.|55|1915|doi:10.1039/d5dt02885j
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.