cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11961984
title: Metadata record for: Draft genomes of two Atlantic bay scallop subspecies Argopecten irradians irradians and A. i. concentricus

description: This dataset contains key characteristics about the data described in the Data Descriptor Draft genomes of two Atlantic bay scallop subspecies Argopecten irradians irradians and A. i. concentricus. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.6084/m9.figshare.11961984.v1
title: Metadata record for: Draft genomes of two Atlantic bay scallop subspecies Argopecten irradians irradians and A. i. concentricus

description: This dataset contains key characteristics about the data described in the Data Descriptor Draft genomes of two Atlantic bay scallop subspecies Argopecten irradians irradians and A. i. concentricus. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.6084/m9.figshare.11961831
title: TermitePredictors.csv

description: Predictor variables extracted for each plot and used to test the association with species richness and composition (see Methods for more details).<br>
DOI: 10.6084/m9.figshare.11961825
title: TermiteRawData.csv

description: Raw data of termite occurrence on a global scale that used the standardized sampling protocol of Jones & Eggleton, 2000 (see Methods for more details).
DOI: 10.6084/m9.figshare.11961831.v2
title: TermitePredictors.csv

description: Predictor variables extracted for each plot and used to test the association with species richness and composition (see Methods for more details).<br>
DOI: 10.6084/m9.figshare.11961831.v1
title: TermitePredictors.csv

description: Predictor variables extracted for each plot (see Methods for more details).
DOI: 10.6084/m9.figshare.11961813
title: Genomes_and_Annotation

description: A ZIP file with the genome sequences and annotation files for reference genomes NCTC13441, EC958 and SE15, along with the assembled contigs for 83972 and 3_2_53FAA.
DOI: 10.6084/m9.figshare.11961819
title: Infant car seat use in Japan after the antepartum distribution of an educational leaflet: A prospective, nonrandomized controlled trial with a questionnaire survey

description: <b>Objective:</b> To determine whether an antepartum educational leaflet distributed to parents before infant delivery affected the rate of infant car-seat (ICS) use 1 month after delivery, because to the best of our knowledge, only few reports have evaluated systematic attempts to improve the rate of always ICS use by mothers driving infants <b>Methods:</b> A multicenter questionnaire survey targeting pregnant Japanese women seeking antenatal care at the outpatient clinics of eight hospitals was designed. Women enrolled during the first half of the study period did not receive leaflets describing ICS safety guidelines (control group). Women enrolled during the latter half of the study period received the leaflet between gestational week 35 and 37 (intervention group). All women were requested to anonymously respond to the questionnaires within 1 month postpartum. The rates of ICS use, position, and direction after delivery were compared between both groups. <b>Results:</b> Of the 3534 women who responded to the questionnaire survey (response rate, 81.9%), 1772 women (50.1%) were assigned to the intervention group and 1762 (49.9%) women to the control group. The rates of ICS attachments (86.8% vs. 82.4% in the intervention and control groups, respectively, <i>p</i> = 0.0003), always ICS use (80.5% vs. 76.2%, respectively, <i>p</i> = 0.0019), ICS placement on the rear seat (78.6% vs. 74.1%, respectively, <i>p</i> = 0.0020), and ICS placement in a rear-facing position (62.2% vs. 56.7%, respectively, <i>p</i> = 0.0008) were significantly higher in the intervention group than those in the control group. The motor vehicle accident (MVA) rates within 1 month postpartum were similar between the intervention and control groups (0.51% vs. 0.57%, respectively, <i>p</i> = 0.8229). <b>Conclusions:</b> Antepartum minimal intervention via the distribution of an educational leaflet recommending ICS safety guidelines was associated with increased rates of ICS attachments, always ICS use, and ICS placement on the rear seat and in rear-facing positions; however, it did not contribute to reduced MVA rates after delivery.
DOI: 10.6084/m9.figshare.11961813.v1
title: Genomes_and_Annotation

description: A ZIP file with the genome sequences and annotation files for reference genomes NCTC13441, EC958 and SE15, along with the assembled contigs for 83972 and 3_2_53FAA.
DOI: 10.6084/m9.figshare.11961819.v1
title: Infant car seat use in Japan after the antepartum distribution of an educational leaflet: A prospective, nonrandomized controlled trial with a questionnaire survey

description: <b>Objective:</b> To determine whether an antepartum educational leaflet distributed to parents before infant delivery affected the rate of infant car-seat (ICS) use 1 month after delivery, because to the best of our knowledge, only few reports have evaluated systematic attempts to improve the rate of always ICS use by mothers driving infants <b>Methods:</b> A multicenter questionnaire survey targeting pregnant Japanese women seeking antenatal care at the outpatient clinics of eight hospitals was designed. Women enrolled during the first half of the study period did not receive leaflets describing ICS safety guidelines (control group). Women enrolled during the latter half of the study period received the leaflet between gestational week 35 and 37 (intervention group). All women were requested to anonymously respond to the questionnaires within 1 month postpartum. The rates of ICS use, position, and direction after delivery were compared between both groups. <b>Results:</b> Of the 3534 women who responded to the questionnaire survey (response rate, 81.9%), 1772 women (50.1%) were assigned to the intervention group and 1762 (49.9%) women to the control group. The rates of ICS attachments (86.8% vs. 82.4% in the intervention and control groups, respectively, <i>p</i> = 0.0003), always ICS use (80.5% vs. 76.2%, respectively, <i>p</i> = 0.0019), ICS placement on the rear seat (78.6% vs. 74.1%, respectively, <i>p</i> = 0.0020), and ICS placement in a rear-facing position (62.2% vs. 56.7%, respectively, <i>p</i> = 0.0008) were significantly higher in the intervention group than those in the control group. The motor vehicle accident (MVA) rates within 1 month postpartum were similar between the intervention and control groups (0.51% vs. 0.57%, respectively, <i>p</i> = 0.8229). <b>Conclusions:</b> Antepartum minimal intervention via the distribution of an educational leaflet recommending ICS safety guidelines was associated with increased rates of ICS attachments, always ICS use, and ICS placement on the rear seat and in rear-facing positions; however, it did not contribute to reduced MVA rates after delivery.
DOI: 10.6084/m9.figshare.11961825.v1
title: TermiteRawData.csv

description: Compiled raw data of termite occurrence on a global scale.
DOI: 10.6084/m9.figshare.11961711
title: Operons_genes_BLAST_results

description: A compressed file with the BLAST sequence similarity results for the <i>fim</i>, <i>pil, pap</i> and <i>ucl</i> operons' genes versus 4,071 <i>E. coli </i>ST131 assemblies from Decano & Downing (2019).
DOI: 10.6084/m9.figshare.11961711.v1
title: Operons_genes_BLAST_results

description: A compressed file with the BLAST sequence similarity results for the <i>fim</i>, <i>pil, pap</i> and <i>ucl</i> operons' genes versus 4,071 <i>E. coli </i>ST131 assemblies from Decano & Downing (2019).
DOI: 10.25345/c5mj2c
title: MassIVE MSV000086014 - GNPS - SD Zoo - TheWilds - Maxis
title: Small molecule analysis of Rhino fecal extracts, standard methanol extraction. Data were acquired using a Thermo Maxis Impact MS and C18 RP-UHPLC. Positive polarity acquisition of LC-MS/MS.
DOI: 10.6084/m9.figshare.11961636
title: PBT_BGAA_data.tar.gz

description: This data is for teaching genome assembly.
DOI: 10.6084/m9.figshare.11961636.v1
title: PBT_BGAA_data.tar.gz

description: This data is for teaching genome assembly.
DOI: 10.6084/m9.figshare.11961621
title: How many birds breed in Switzerland? An overview of the methods applied for estimating population sizes

description: We used data from different sources, developed and applied several estimation methods, and confronted the resulting estimates with species experts to achieve breeding size population estimates for all bird species currently breeding in Switzerland. Population size estimates of birds have a wide range of practical conservation uses. As part of the Swiss Breeding Bird Atlas 2013–2016, we aimed to update the national breeding population size estimates for all species. For very rare species and for rare colonial breeders, the estimates are complete enumerations based on annual compilations of all breeding records. For the other species, we applied extrapolation methods of varying complexity, either based on the data from the 2318 one-kilometre squares where territory mapping for the breeding bird atlas was conducted, or based on all breeding period records from 2013 to 2016. In some cases, these data were combined with regional population estimates. For most species, we considered the results of several different approaches to determine the final estimate. Here, we give an overview of the applied procedures, along with some examples. We provide access to code that allows the reproduction of our analyses. We present population size estimates for all 210 species and 4 subspecies of birds breeding in Switzerland. The total population size of all Swiss breeding birds amounts to just over ten million breeding pairs. The largest share consists of species with forest as their main habitat. A main challenge was to decide species by species which approaches lead to the most reliable results. The application of a rule-based selection approach alone is dangerous. Comparing the outcome of different approaches and involvement of species experts are crucial steps to getting sound population size estimates.
DOI: 10.6084/m9.figshare.11961618
title: Light data from geolocation reveal patterns of nest visit frequency and suitable conditions for efficient nest site monitoring in Common Swifts <i>Apus apus</i>

description: <b>Capsule:</b> We developed a protocol for efficient monitoring of potential Common Swift <i>Apus apus</i> nest sites which considers variation in nest visit frequency across the breeding season and in relation to time of day and weather. <b>Aims:</b> To investigate patterns of nest visit frequency in Common Swifts in order to improve the efficiency and reliability of the monitoring of nest sites threatened by building renovations. <b>Methods:</b> We derived information on nest attendance from light data recorded by geolocators from ten adult Common Swifts during three breeding seasons (<i>n</i> = 686 individual sampling days) and analysed how nest visit frequency varied across the breeding season and in relation to time of day and weather. <b>Results:</b> The mean nest visit frequency was 5.63 visits per bird per day (0.32 visits per hour of daylight). The daily number of visits was highest at the beginning of July during chick-rearing. Moreover, it was positively correlated with temperature and negatively correlated with rainfall and wind speed. Nest visit frequency showed a distinct peak around sunset, while also being relatively high in the morning and around noon. <b>Conclusion:</b> We recommend monitoring potential Common Swift nest sites in Central Europe between the end of June and mid-July during good weather between 0.50 and 7.75 h after sunrise or between 3.00 h before sunset and sunset, when observation bouts of 0.5–2.0 h provide an encounter probability greater than 90%. Our study shows that repurposing geolocator light data – usually used to study bird migration – for investigating nest attendance in cavity-breeding birds can provide important information for bird conservation.
DOI: 10.6084/m9.figshare.11961621.v2
title: How many birds breed in Switzerland? An overview of the methods applied for estimating population sizes

description: We used data from different sources, developed and applied several estimation methods, and confronted the resulting estimates with species experts to achieve breeding size population estimates for all bird species currently breeding in Switzerland. Population size estimates of birds have a wide range of practical conservation uses. As part of the Swiss Breeding Bird Atlas 2013–2016, we aimed to update the national breeding population size estimates for all species. For very rare species and for rare colonial breeders, the estimates are complete enumerations based on annual compilations of all breeding records. For the other species, we applied extrapolation methods of varying complexity, either based on the data from the 2318 one-kilometre squares where territory mapping for the breeding bird atlas was conducted, or based on all breeding period records from 2013 to 2016. In some cases, these data were combined with regional population estimates. For most species, we considered the results of several different approaches to determine the final estimate. Here, we give an overview of the applied procedures, along with some examples. We provide access to code that allows the reproduction of our analyses. We present population size estimates for all 210 species and 4 subspecies of birds breeding in Switzerland. The total population size of all Swiss breeding birds amounts to just over ten million breeding pairs. The largest share consists of species with forest as their main habitat. A main challenge was to decide species by species which approaches lead to the most reliable results. The application of a rule-based selection approach alone is dangerous. Comparing the outcome of different approaches and involvement of species experts are crucial steps to getting sound population size estimates.
DOI: 10.6084/m9.figshare.11961618.v1
title: Light data from geolocation reveal patterns of nest visit frequency and suitable conditions for efficient nest site monitoring in Common Swifts <i>Apus apus</i>

description: <b>Capsule:</b> We developed a protocol for efficient monitoring of potential Common Swift <i>Apus apus</i> nest sites which considers variation in nest visit frequency across the breeding season and in relation to time of day and weather. <b>Aims:</b> To investigate patterns of nest visit frequency in Common Swifts in order to improve the efficiency and reliability of the monitoring of nest sites threatened by building renovations. <b>Methods:</b> We derived information on nest attendance from light data recorded by geolocators from ten adult Common Swifts during three breeding seasons (<i>n</i> = 686 individual sampling days) and analysed how nest visit frequency varied across the breeding season and in relation to time of day and weather. <b>Results:</b> The mean nest visit frequency was 5.63 visits per bird per day (0.32 visits per hour of daylight). The daily number of visits was highest at the beginning of July during chick-rearing. Moreover, it was positively correlated with temperature and negatively correlated with rainfall and wind speed. Nest visit frequency showed a distinct peak around sunset, while also being relatively high in the morning and around noon. <b>Conclusion:</b> We recommend monitoring potential Common Swift nest sites in Central Europe between the end of June and mid-July during good weather between 0.50 and 7.75 h after sunrise or between 3.00 h before sunset and sunset, when observation bouts of 0.5–2.0 h provide an encounter probability greater than 90%. Our study shows that repurposing geolocator light data – usually used to study bird migration – for investigating nest attendance in cavity-breeding birds can provide important information for bird conservation.
DOI: 10.6084/m9.figshare.11961621.v1
title: How many birds breed in Switzerland? An overview of the methods applied for estimating population sizes

description: <b>Capsule:</b> We used data from different sources, developed and applied several estimation methods, and confronted the resulting estimates with species experts to achieve breeding size population estimates for all bird species currently breeding in Switzerland. <b>Aims:</b> Population size estimates of birds have a wide range of practical conservation uses. As part of the Swiss Breeding Bird Atlas 2013–2016, we aimed to update the national breeding population size estimates for all species. <b>Methods:</b> For very rare species and for rare colonial breeders, the estimates are complete enumerations based on annual compilations of all breeding records. For the other species, we applied extrapolation methods of varying complexity, either based on the data from the 2318 one-kilometre squares where territory mapping for the breeding bird atlas was conducted, or based on all breeding period records from 2013 to 2016. In some cases, these data were combined with regional population estimates. For most species, we considered the results of several different approaches to determine the final estimate. Here, we give an overview of the applied procedures, along with some examples. We provide access to code that allows the reproduction of our analyses. <b>Results:</b> We present population size estimates for all 210 species and 4 subspecies of birds breeding in Switzerland. The total population size of all Swiss breeding birds amounts to just over ten million breeding pairs. The largest share consists of species with forest as their main habitat. <b>Conclusions:</b> A main challenge was to decide species by species which approaches lead to the most reliable results. The application of a rule-based selection approach alone is dangerous. Comparing the outcome of different approaches and involvement of species experts are crucial steps to getting sound population size estimates.
DOI: 10.6084/m9.figshare.11961612
title: AMR_gene_profiles_all_results

description: A compressed file with the AMR gene profiles per sample determined by their BLAST sequence similarity results against CARD. This also includes other AMR database comparisons (ARG-ANNOT, ResFinder, MegaRes, VFDB, VirulenceFinder, PlasmidFinder).
DOI: 10.6084/m9.figshare.11961612.v1
title: AMR_gene_profiles_all_results

description: A compressed file with the AMR gene profiles per sample determined by their BLAST sequence similarity results against CARD. This also includes other AMR database comparisons (ARG-ANNOT, ResFinder, MegaRes, VFDB, VirulenceFinder, PlasmidFinder).
DOI: 10.6084/m9.figshare.11961525
title: Investigation of pore structure and permeability estimation models of glutenites in the Bozhong 19-6 gas field using high-pressure mercury injection and thin sections

description: This is the high-pressure mercury pressure data of 43 cores and the corresponding pore structure parameters.
DOI: 10.6084/m9.figshare.11961525.v2
title: Investigation of pore structure and permeability estimation models of glutenites in the Bozhong 19-6 gas field using high-pressure mercury injection and thin sections

description: This is the high-pressure mercury pressure data of 43 cores and the corresponding pore structure parameters.
DOI: 10.6084/m9.figshare.11961525.v1
title: Supplementary data .xlsx

description: This is the high-pressure mercury pressure data of 43 cores and the corresponding pore structure parameters.
DOI: 10.6084/m9.figshare.11961459
title: Supplementary Material for: A Study of Clinical Features and Risk Factors of Self-Referring Emergency Department Headache Patients: A Comparison with Headache Center Outpatients

description: <b><i>Background:</i></b> Nonlife-threatening headaches account for 3% of emergency department (ED) admissions, with social and economic negative consequences. We aim to investigate clinical features and risk factors of nonlife-threatening headache patients referring to ED versus those referring to headache outpatient clinics. <b><i>Methods:</i></b> During 6 months, we promptly reevaluated in our headache unit (HU) patients discharged from ED. We compared the clinical characteristics of patients who referred to ED with those of HU outpatients visited in the same time interval. Discriminant Function Analysis and Correspondence Analysis were used to determine risk factors for ED referral. <b><i>Results:</i></b> We recruited 49 post-ED patients and 126 outpatients. The main reasons for ED admission were poor response to acute treatment and aura-related symptoms. Headache diagnoses made in ED were generally not confirmed later (overall concordance of 47%), except for cluster headache (CH) and migraine with aura (MA). ED patients complained higher headache intensity, longer duration, and prolonged aura compared to outpatients. Aura was the main risk factor associated with ED admission on statistical models, while less prominent risk factors were sex, age, and years from migraine onset. <b><i>Conclusions:</i></b> ED patients presented a more severe headache clinical phenotype compared with outpatients. Headache diagnosis remains difficult in the emergency setting and is more easily achieved for the headache forms with standout features, such as MA or CH. According to statistical models, the aura is the most important risk factor for ED admissions.
DOI: 10.6084/m9.figshare.11961459.v1
title: Supplementary Material for: A Study of Clinical Features and Risk Factors of Self-Referring Emergency Department Headache Patients: A Comparison with Headache Center Outpatients

description: <b><i>Background:</i></b> Nonlife-threatening headaches account for 3% of emergency department (ED) admissions, with social and economic negative consequences. We aim to investigate clinical features and risk factors of nonlife-threatening headache patients referring to ED versus those referring to headache outpatient clinics. <b><i>Methods:</i></b> During 6 months, we promptly reevaluated in our headache unit (HU) patients discharged from ED. We compared the clinical characteristics of patients who referred to ED with those of HU outpatients visited in the same time interval. Discriminant Function Analysis and Correspondence Analysis were used to determine risk factors for ED referral. <b><i>Results:</i></b> We recruited 49 post-ED patients and 126 outpatients. The main reasons for ED admission were poor response to acute treatment and aura-related symptoms. Headache diagnoses made in ED were generally not confirmed later (overall concordance of 47%), except for cluster headache (CH) and migraine with aura (MA). ED patients complained higher headache intensity, longer duration, and prolonged aura compared to outpatients. Aura was the main risk factor associated with ED admission on statistical models, while less prominent risk factors were sex, age, and years from migraine onset. <b><i>Conclusions:</i></b> ED patients presented a more severe headache clinical phenotype compared with outpatients. Headache diagnosis remains difficult in the emergency setting and is more easily achieved for the headache forms with standout features, such as MA or CH. According to statistical models, the aura is the most important risk factor for ED admissions.
DOI: 10.6084/m9.figshare.11961375
title: Data from: Information use in foraging flocks of songbirds - no evidence for social transmission of patch quality.

description: Data and code used for the analyses in: Hillemann F, Cole EF, Sheldon BC, Farine DR. 2020. Information use in foraging flocks of songbirds - no evidence for social transmission of patch quality.