cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4782254
title: Living organisms and sedimentary remains from high mountain lakes in the Alps collected in Summer 2000

description: A data set of environmental and biological data collected in 2000 during the ice-free period in high mountain lakes located above the local timberline in the Alps, in Italy, Switzerland and Austria. Environmental data include coordinates, geographical attributes and detailed information on vegetation, bedrock and land use in lake catchments. Chemical analyses of a sample for each lake collected at the lake surface in Summer 2000 are also reported. Biological data include phytoplankton, zooplankton, macroinvertebrates, benthic diatoms. Diatoms, cladoceran and chironomids remains and algal and bacterial pigments were also analysed in lake sediments.
description: This research was partially funded by the European Union, through the EMERGE ("European Mountain lake Ecosystems: Regionalisation, diaGnostic & socio-economic Evaluation") Project (contract No. EVK1-CT-1999-0032).
description: {"references": ["Marchetto, A., Rogora, M., Boggero, A., Musazzi, S., Lami, A., Lotter, A.F., Tolotti, M., Thies, H., Psenner, R., Massaferro, J., Barbieri, A.. 2009. Response of Alpine lakes to major environmental gradients, as detected through planktonic, benthic and sedimentary assemblages. Advanc. Limnol., 62: 419-440.", "Marchetto, A., Boggero, A., Fontaneto, D., Lami, A., Lotter, A.F., Manca, M.M., Massaferro, J., Mosello, R., Musazzi, S., Nickus, U., Psenner, R., Rogora, M., Sorvari Sundet, S., Stuchlik, E., Tartari, G.A., Thies, H., Tolotti, M. 2021. Living organisms and sedimentary remains from high mountain lakes in the Alps. Journal of Limnology. doi: 10.4081/jlimnol.2036"]}
DOI: 10.5281/zenodo.3994784
title: Hybrid nanoplasmonic porous biomaterial scaffold for liquid biopsy diagnostics using extracellular vesicles: data and media

description: Raw datasets and media accompanying the manuscript: <strong>Hybrid nanoplasmonic porous biomaterial scaffold for liquid biopsy diagnostics using extracellular vesicles</strong>, published in ACS Sensors
DOI: 10.5281/zenodo.3677153
title: Hybrid nanoplasmonic porous biomaterial scaffold for liquid biopsy diagnostics using extracellular vesicles: data and media

description: Raw datasets and media accompanying the manuscript: <strong>Hybrid nanoplasmonic porous biomaterial scaffold for liquid biopsy diagnostics using extracellular vesicles</strong>, published in ACS Sensors
DOI: 10.6084/m9.figshare.15157383.v1
title: Estimating Lake Surface Area and Volume Fluctuations in GIS, Using Remote Sensing Images Collected Through Time: A Case Study of Clinton Reservoir

description: This data folder contains primary data, plots, graphs, R-codes, Python code and other materials used in the study
DOI: 10.6084/m9.figshare.15157383
title: Estimating Lake Surface Area and Volume Fluctuations in GIS, Using Remote Sensing Images Collected Through Time: A Case Study of Clinton Reservoir

description: This data folder contains primary data, plots, graphs, R-codes, Python code and other materials used in the study
DOI: 10.6084/m9.figshare.15143130
title: Raw Data - "An informal environmental education model from local to global scale in the framework of sustainable tourism development"

description: Raw dataset from the manuscript "An informal environmental education model from local to global scale in the framework of sustainable tourism development", submitted to Ecological Applications.
DOI: 10.6084/m9.figshare.15143130.v1
title: Raw Data - "An informal environmental education model from local to global scale in the framework of sustainable tourism development"

description: Raw dataset from the manuscript "An informal environmental education model from local to global scale in the framework of sustainable tourism development", submitted to Ecological Applications.
DOI: 10.23641/asha.15138747
title: Bilingualism, DLD, and processing speed (Ebert, 2021)

description: <b>Purpose: </b>This study examined the influences of bilingualism and developmental language disorder (DLD) on nonverbal processing speed. DLD is associated with slower processing speed, but the extent to which slowing extends to bilingual populations is not established. The possible presence of bilingual cognitive effects could also lead to faster processing speed among bilingual children.<b>Method:</b> Participants included 108 children of ages 6–8 years, including 56 Spanish–English bilinguals (29 with DLD and 27 with typical development) and 52 English-only monolinguals (25 with DLD and 27 with typical development). Language testing (in both languages for bilingual children) was combined with parent and school report to classify children as having DLD or typical language development. Children with attention-deficit/hyperactivity disorder were excluded from the sample. Reaction time from a choice visual detection task was used to index nonverbal processing speed.<b>Results: </b>Children with DLD demonstrated slower processing speed than their typically developing peers, whereas bilingual children demonstrated faster processing speed than monolinguals. The effects of DLD and bilingualism did not interact.<b>Conclusions: </b>This study replicates prior findings of slowed processing speed among children with DLD in both monolingual and bilingual children. Evidence of faster processing speed among bilingual children contributes to the complex literature surrounding the circumstances of bilingual cognitive effects.<br><b>Supplemental Material S1.</b> Additional language exposure details for BI-TD and BI-DLD groups.<br>Ebert, K. D. (2021). Revisiting the influences of bilingualism and developmental language disorder on children’s nonverbal processing speed. <i>Journal of Speech, Language, and Hearing Research</i>. Advance online publication. https://doi.org/10.1044/2021_JSLHR-21-00156
DOI: 10.23641/asha.15138747.v1
title: Bilingualism, DLD, and processing speed (Ebert, 2021)

description: <b>Purpose: </b>This study examined the influences of bilingualism and developmental language disorder (DLD) on nonverbal processing speed. DLD is associated with slower processing speed, but the extent to which slowing extends to bilingual populations is not established. The possible presence of bilingual cognitive effects could also lead to faster processing speed among bilingual children.<b>Method:</b> Participants included 108 children of ages 6–8 years, including 56 Spanish–English bilinguals (29 with DLD and 27 with typical development) and 52 English-only monolinguals (25 with DLD and 27 with typical development). Language testing (in both languages for bilingual children) was combined with parent and school report to classify children as having DLD or typical language development. Children with attention-deficit/hyperactivity disorder were excluded from the sample. Reaction time from a choice visual detection task was used to index nonverbal processing speed.<b>Results: </b>Children with DLD demonstrated slower processing speed than their typically developing peers, whereas bilingual children demonstrated faster processing speed than monolinguals. The effects of DLD and bilingualism did not interact.<b>Conclusions: </b>This study replicates prior findings of slowed processing speed among children with DLD in both monolingual and bilingual children. Evidence of faster processing speed among bilingual children contributes to the complex literature surrounding the circumstances of bilingual cognitive effects.<br><b>Supplemental Material S1.</b> Additional language exposure details for BI-TD and BI-DLD groups.<br>Ebert, K. D. (2021). Revisiting the influences of bilingualism and developmental language disorder on children’s nonverbal processing speed. <i>Journal of Speech, Language, and Hearing Research</i>. Advance online publication. https://doi.org/10.1044/2021_JSLHR-21-00156
DOI: 10.6084/m9.figshare.15157602
title: data for "Shifting correlations among multiple aspects of weather complicate predicting future demography of a threatened species" in Ecosphere, 2021

description: We include one dataset with demographic data for birds, called RCW_demo_data. Each row in this csv file represents an individual x year combination, and columns include information about individual and territory characteristics in that year, as well as various vital rates. For reproductive vital rates, we include these rates only for female breeders. Thus, reproductive vital rates such as “successfirstnest” will be NA (indicating missing data) for all males and for female non-breeders. Each row includes a climate reference number (“clim.group”) that allows the demographic data to be matched with the climate data in the climate files (see below for more description about these climate data). Below we list each column individually. Year: year in which data were collected Surtonext: did this individual survive to the next breeding season (1) or not (0)? Nohelp: how many helpers were present in this territory? Firstnestattempt_bin: did this breeding female initiate a nest in that year’s breeding season? 1 indicates yes, 0 indicates no. Morenestattempt_bin: did this breeding female initiate more than one nest in that years breeding season? 1 indicates yes, 0 no. Fledgedfirstnest: how many fledged from the first nest. Fledgedlaternest: how many fledged from any later nests. Eggsfirstattempt: how many eggs in the first nest. Eggslaterattempt: how many eggs in the first nest. Clim.group: a grouping variable that matches the clim.group variable in the climate datasets. Note that the demographic data contains a space, the climate datasets a period, but SH 146 is the same climate grouping as SH.146. Site: one of SH, EG, or CL, representing Sandhills, Eglin, or Camp Lejeune Numericage: age of the bird Binned status: one of Breeder, Helper or Floater (B, H, or F). Sex: F or M Numericmalemateage: age of the male breeder which which a female bred. Only recorde for breeding females. Successfirstnest_bin: was the first nest successful? 1 indicates yes, 0 no. Frsurvivingfirst: what fraction of eggs survived to fledging from the first nest?Successmorenest_bin: were any later (i.e., 2<sup>nd</sup> or later) nests successful? 1 indicates yes, 0 no. Frsurvivinglater: what fraction of eggs survived to fledging from all later nests? We have included five datasets corresponding to the five climate variables. The name of the csv file indicates the climate variable that the dataset contains. Each dataset contains information on the date, the climate group (clim.grp, corresponds to the climate groups in the demographic dataset), and the value of the climate signal for that date. Units are indicated in the main text for this paper.
DOI: 10.6084/m9.figshare.15157602.v1
title: data for "Shifting correlations among multiple aspects of weather complicate predicting future demography of a threatened species" in Ecosphere, 2021

description: We include one dataset with demographic data for birds, called RCW_demo_data. Each row in this csv file represents an individual x year combination, and columns include information about individual and territory characteristics in that year, as well as various vital rates. For reproductive vital rates, we include these rates only for female breeders. Thus, reproductive vital rates such as “successfirstnest” will be NA (indicating missing data) for all males and for female non-breeders. Each row includes a climate reference number (“clim.group”) that allows the demographic data to be matched with the climate data in the climate files (see below for more description about these climate data). Below we list each column individually. Year: year in which data were collected Surtonext: did this individual survive to the next breeding season (1) or not (0)? Nohelp: how many helpers were present in this territory? Firstnestattempt_bin: did this breeding female initiate a nest in that year’s breeding season? 1 indicates yes, 0 indicates no. Morenestattempt_bin: did this breeding female initiate more than one nest in that years breeding season? 1 indicates yes, 0 no. Fledgedfirstnest: how many fledged from the first nest. Fledgedlaternest: how many fledged from any later nests. Eggsfirstattempt: how many eggs in the first nest. Eggslaterattempt: how many eggs in the first nest. Clim.group: a grouping variable that matches the clim.group variable in the climate datasets. Note that the demographic data contains a space, the climate datasets a period, but SH 146 is the same climate grouping as SH.146. Site: one of SH, EG, or CL, representing Sandhills, Eglin, or Camp Lejeune Numericage: age of the bird Binned status: one of Breeder, Helper or Floater (B, H, or F). Sex: F or M Numericmalemateage: age of the male breeder which which a female bred. Only recorde for breeding females. Successfirstnest_bin: was the first nest successful? 1 indicates yes, 0 no. Frsurvivingfirst: what fraction of eggs survived to fledging from the first nest?Successmorenest_bin: were any later (i.e., 2<sup>nd</sup> or later) nests successful? 1 indicates yes, 0 no. Frsurvivinglater: what fraction of eggs survived to fledging from all later nests? We have included five datasets corresponding to the five climate variables. The name of the csv file indicates the climate variable that the dataset contains. Each dataset contains information on the date, the climate group (clim.grp, corresponds to the climate groups in the demographic dataset), and the value of the climate signal for that date. Units are indicated in the main text for this paper.
DOI: 10.5281/zenodo.5183028
title: Neurally Relevant BOLD Response Delay: Intermediary Dataset

description: BOLD fMRI timeseries from V1 voxels, extracted from preprocessed BOLD volume timeseries. Accompanying a scientific article to be submitted to Neuroimage. Code will follow.
DOI: 10.5517/ccdc.csd.cc27zbh2
title: CCDC 2084734: Experimental Crystal Structure Determination

description: Related Article: Rossella Chiara, Marta Morana, Massimo Boiocchi, Mauro Coduri, Marinella Striccoli, Francesco Fracassi, Andrea Listorti, Arup Mahata, Paolo Quadrelli, Mattia Gaboardi,Chiara Milanese, Luca Bindi, Filippo De Angelis, Lorenzo Malavasi|2021|J.Mater.Chem.C|9|9899|doi:10.1039/D1TC02394B
DOI: 10.5517/ccdc.csd.cc27zbj3
title: CCDC 2084735: Experimental Crystal Structure Determination

description: Related Article: Rossella Chiara, Marta Morana, Massimo Boiocchi, Mauro Coduri, Marinella Striccoli, Francesco Fracassi, Andrea Listorti, Arup Mahata, Paolo Quadrelli, Mattia Gaboardi,Chiara Milanese, Luca Bindi, Filippo De Angelis, Lorenzo Malavasi|2021|J.Mater.Chem.C|9|9899|doi:10.1039/D1TC02394B
DOI: 10.5517/ccdc.csd.cc27zbk4
title: CCDC 2084736: Experimental Crystal Structure Determination

description: Related Article: Rossella Chiara, Marta Morana, Massimo Boiocchi, Mauro Coduri, Marinella Striccoli, Francesco Fracassi, Andrea Listorti, Arup Mahata, Paolo Quadrelli, Mattia Gaboardi,Chiara Milanese, Luca Bindi, Filippo De Angelis, Lorenzo Malavasi|2021|J.Mater.Chem.C|9|9899|doi:10.1039/D1TC02394B
DOI: 10.5517/ccdc.csd.cc27zbl5
title: CCDC 2084737: Experimental Crystal Structure Determination

description: Related Article: Rossella Chiara, Marta Morana, Massimo Boiocchi, Mauro Coduri, Marinella Striccoli, Francesco Fracassi, Andrea Listorti, Arup Mahata, Paolo Quadrelli, Mattia Gaboardi,Chiara Milanese, Luca Bindi, Filippo De Angelis, Lorenzo Malavasi|2021|J.Mater.Chem.C|9|9899|doi:10.1039/D1TC02394B
DOI: 10.5517/ccdc.csd.cc281vgn
title: CCDC 2087151: Experimental Crystal Structure Determination

description: Related Article: Yan-Ning Wang, Shao-Dan Wang, Peng-Hui Dong, Fan Wang, Wen-Qian Dou, Shu-Qin Lu, Hui-Qiao Liu, Kang-Zhe Cao|2021|Inorg.Chim.Acta|527|120546|doi:10.1016/j.ica.2021.120546
DOI: 10.5517/ccdc.csd.cc27rrj9
title: CCDC 2078411: Experimental Crystal Structure Determination

description: Related Article: Christopher Barnett, Marcus L. Cole, Jason B. Harper|2021|Chem.Methods|1|374|doi:10.1002/cmtd.202100043
DOI: 10.5517/ccdc.csd.cc27rryq
title: CCDC 2078424: Experimental Crystal Structure Determination

description: Related Article: Christopher Barnett, Marcus L. Cole, Jason B. Harper|2021|Chem.Methods|1|374|doi:10.1002/cmtd.202100043
DOI: 10.5517/ccdc.csd.cc27rr3w
title: CCDC 2078398: Experimental Crystal Structure Determination

description: Related Article: Christopher Barnett, Marcus L. Cole, Jason B. Harper|2021|Chem.Methods|1|374|doi:10.1002/cmtd.202100043
DOI: 10.5517/ccdc.csd.cc27jp5n
title: CCDC 2071611: Experimental Crystal Structure Determination

description: Related Article: Sanghwa Lee, Megalamane S. Bootharaju, Guocheng Deng, Sami Malola, Hannu Häkkinen, Nanfeng Zheng, Taeghwan Hyeon|2021|J.Am.Chem.Soc.|143|12100|doi:10.1021/jacs.1c04002
DOI: 10.6084/m9.figshare.15157869.v1
title: Pathogenic disgust sensitivity predicts bias against gay male fathers but not lesbian mothers in child custody hearings

description: Data saved in STATA format. Does pathogenic disgust sensitivity differentially bias the evaluation of same-sex liaisons across gender? Participants (<i>n</i>=191) recruited on Amazon Turk were presented with a child custody dispute concerning the propriety of a post-divorce homosexual liaison undertaken by a parent. Gender of the homosexual liaison was randomly varied. Pathogenic disgust sensitivity predicted a willingness to remove custody and impose visitation restrictions after the gay male but not the lesbian liaison. Pathogenic disgust sensitivity also correlated with normative positions that might also predict a gender bias: moral traditionalism, sexual prejudice, and traditional gender role beliefs. But even after controlling for these normative positions pathogenic disgust sensitivity predicted a willingness to remove custody and impose restrictions only in the gay male condition. This suggests that pathogenic disgust elicitors are associated with gay male but not lesbian liaisons. Legal implications are also discussed. <br><br>
DOI: 10.15468/xmx4sr
title: Earthworm species occurrence in agroecosystems in the Midlands, KwaZulu-Natal, South Africa

description: This dataset contains the digitized treatments in Plazi based on the original journal article Nxele, Thembeka C., Mwabvu, Tarombera, Yekwayo, Inam (2021): Earthworm species occurrence in agroecosystems in the Midlands, KwaZulu-Natal, South Africa. African Invertebrates 62 (2): 411-425, DOI: http://dx.doi.org/10.3897/afrinvertebr.62.67875, URL: http://dx.doi.org/10.3897/afrinvertebr.62.67875
DOI: 10.15468/56u8rh
title: Review of the Merodon natans group with description of a new species, a key to the adults of known species of the natans lineage and first descriptions of some preimaginal stages

description: This dataset contains the digitized treatments in Plazi based on the original journal article Vujic, Ante, Tot, Tamara, Andric, Andrijana, Acanski, Jelena, Sasic Zoric, Ljiljana, Perez-Banon, Celeste, Aracil, Andrea, Veselic, Sanja, Arok, Maja, Mengual, Ximo, van Eck, Andre, Rojo, Santos, Radenkovic, Snezana (2021): Review of the Merodon natans group with description of a new species, a key to the adults of known species of the natans lineage and first descriptions of some preimaginal stages. Arthropod Systematics & amp; Phylogeny 79: 343-378, DOI: http://dx.doi.org/10.3897/asp.79.e65861, URL: http://dx.doi.org/10.3897/asp.79.e65861
DOI: 10.5063/rx99hf
title: Chinook age, sex, and length data from East Side Cook Inlet, Alaska, 1970-2012

description: Age, sex and length (ASL) data provide population dynamics information that can indicate how population trends occur and may be changing. These data can help researchers estimate population growth rates, age-class distribution, and population demographics. Knowing population demographics, growth rates and trends is particularly valuable to fisheries managers who must perform population assessments to inform management decisions. These data are therefore important in valuable fisheries like the salmon fisheries of Alaska. This dataset includes age, sex and length data compiled from annual sampling of commercial catch from East Side Cook Inlet, Alaska. It includes data on chinook salmon collected from the commercial set net fishery. Age estimates were made by examining scales or bony structures (e.g. otoliths - ear bones). Scales were removed from the side of the fish; usually the left side above the lateral line. Scales or bony structures were then mounted on gummed cards and pressed on acetate to make an impression. The number of freshwater and saltwater annuli (i.e. rings) was counted to estimate freshwater and saltwater ages in years. Fish sex was determined by either examining external morphology (eg. head and belly shape) or internal sex organ. Length was measured in millimeters, from mid-eye to the fork of the tail. This data package includes a .csv of ASL data (ASL_formatted_EastSideChinook.csv), a .csv of the original data file (EastSideSetNetChinookASL.csv), and an R script detailing the processing and reformatting steps (ASL_Formatting_EastSide_SetNet.R).
DOI: 10.15468/esjsuc
title: Myrsidea quadrifasciata (Phthiraptera: Amblycera) - a unique host generalist among highly host-specific chewing lice

description: This dataset contains the digitized treatments in Plazi based on the original journal article Sychra, Oldrich, Kolencik, Stanislav, Papousek, Ivo, Bilbija, Branka, Literak, Ivan (2021): Myrsidea quadrifasciata (Phthiraptera: Amblycera) - a unique host generalist among highly host-specific chewing lice. Arthropod Systematics & amp; Phylogeny 79: 379-400, DOI: http://dx.doi.org/10.3897/asp.79.e63975, URL: http://dx.doi.org/10.3897/asp.79.e63975
DOI: 10.15468/kzw2hs
title: The Pyrenean species of Chelidura (Dermaptera, Forficulidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Jurado-Angulo, Pilar, Jimenez-Ruiz, Yolanda, Garcia-Paris, Mario (2021): The Pyrenean species of Chelidura (Dermaptera, Forficulidae). Deutsche Entomologische Zeitschrift 68 (2): 235-248, DOI: http://dx.doi.org/10.3897/dez.68.68020, URL: http://dx.doi.org/10.3897/dez.68.68020
DOI: 10.6084/m9.figshare.15157932.v1
title: Impact of Disgust Sensitivity on Custody Adjudications

description: Data in Stata FormatData saved in STATA format. Does pathogenic disgust sensitivity differentially bias the evaluation of same-sex liaisons across gender? Participants (<i>n</i>=191) recruited on Amazon Turk were presented with a child custody dispute concerning the propriety of a post-divorce homosexual liaison undertaken by a parent. Gender of the homosexual liaison was randomly varied. Pathogenic disgust sensitivity predicted a willingness to remove custody and impose visitation restrictions after the gay male but not the lesbian liaison. Pathogenic disgust sensitivity also correlated with normative positions that might also predict a gender bias: moral traditionalism, sexual prejudice, and traditional gender role beliefs. But even after controlling for these normative positions pathogenic disgust sensitivity predicted a willingness to remove custody and impose restrictions only in the gay male condition. This suggests that pathogenic disgust elicitors are associated with gay male but not lesbian liaisons. Legal implications are also discussed. <br>
DOI: 10.5063/hd7t35
title: Daily escapement counts, Bristol Bay, Alaska, 1955-2017

description: As salmon migrate from the marine environment to freshwater streams to spawn, a certain number are allowed to pass through, or escape the salmon fishery (frequently located near the mouth of the freshwater stream) as a management strategy to preserve the species. Escapement data are the enumeration of these migrating fish as they pass upstream, and represent an index of the total abundance of spawning salmon in that particular stream. These data are important for fisheries management, since most salmon harvest occurs in freshwater rivers during this migration. This dataset contains escapement data for sockeye salmon from the Bristol Bay region of Alaska in the years 1955-2017. This dataset contains the original excel file of data, an R script used to reformat the data into a more usable format, and a reformatted .csv file (Cunningham_BristolBay.csv)