cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6364154
title: Assessing the Impact of Pest Monitoring Traps on Bombus griseocollis (Hymenoptera: Apidae) Colony Growth and Development

description: Insect traps use visual and olfactory cues to attract target pests; however, they vary in their specificity and often unintentionally capture non-target beneficial insects (bycatch), including <em>Bombus</em>. Concerns have been expressed that bycatch may contribute to <em>Bombus</em> mortality and the consequential loss of pollination services. Here, we quantified the impact of trap captures on <em>Bombus griseocollis</em> colony growth and development by evaluating the following four treatments: colonies paired with traps, colonies paired with traps and pheromone lures, traps and pheromone lures (but no colonies), and colonies with no trap and no lure. Trap contents were collected biweekly to determine <em>B. griseocollis </em>capture rates. Colony growth and development data were collected weekly by weighing colonies and recording foraging activity. Based on microsatellite polymerase chain reaction (PCR) amplification, three <em>B. griseocollis </em>were collected from released colonies, while the remaining five were residents within the environment. Given the low number of <em>B. griseocollis </em>workers collected, any differences in colony weight change and active foraging were likely not a result of pest monitoring trap captures. However, trap captures could have a greater impact by interfering with functional diversity, colony establishment, and pollination services, emphasizing the need for additional research. Building on this research will provide a more comprehensive view of the impact of pest monitoring traps on <em>Bombus </em>populations, which could minimize risk to pollinator populations and pollination services.
description: This repository contains data and software used in our manuscript on "Assessing the Impact of Pest Monitoring Traps on Bombus griseocollis (Hymenoptera: Apidae) Colony Growth and Development".
DOI: 10.5281/zenodo.6364153
title: Assessing the Impact of Pest Monitoring Traps on Bombus griseocollis (Hymenoptera: Apidae) Colony Growth and Development

description: Insect traps use visual and olfactory cues to attract target pests; however, they vary in their specificity and often unintentionally capture non-target beneficial insects (bycatch), including <em>Bombus</em>. Concerns have been expressed that bycatch may contribute to <em>Bombus</em> mortality and the consequential loss of pollination services. Here, we quantified the impact of trap captures on <em>Bombus griseocollis</em> colony growth and development by evaluating the following four treatments: colonies paired with traps, colonies paired with traps and pheromone lures, traps and pheromone lures (but no colonies), and colonies with no trap and no lure. Trap contents were collected biweekly to determine <em>B. griseocollis </em>capture rates. Colony growth and development data were collected weekly by weighing colonies and recording foraging activity. Based on microsatellite polymerase chain reaction (PCR) amplification, three <em>B. griseocollis </em>were collected from released colonies, while the remaining five were residents within the environment. Given the low number of <em>B. griseocollis </em>workers collected, any differences in colony weight change and active foraging were likely not a result of pest monitoring trap captures. However, trap captures could have a greater impact by interfering with functional diversity, colony establishment, and pollination services, emphasizing the need for additional research. Building on this research will provide a more comprehensive view of the impact of pest monitoring traps on <em>Bombus </em>populations, which could minimize risk to pollinator populations and pollination services.
description: This repository contains data and software used in our manuscript on "Assessing the Impact of Pest Monitoring Traps on Bombus griseocollis (Hymenoptera: Apidae) Colony Growth and Development".
DOI: 10.34820/fk2/fh8fpa/ygmu44
title: Result (Alodokter & Halodoc)_10 Maret 2022_data_baru_dataverse.xlsx

description: :unav
DOI: 10.6084/m9.figshare.19374860
title: Supplementary Material for: Psoriasis and Dry Eye Disease: A Systematic Review and Meta-Analysis

description: <b><i>Background:</i></b> Psoriasis is a chronic inflammatory skin disease with potential systemic involvement. Some evidence suggests an increased risk of dry eye in patients with psoriasis. However, the relationship between these two conditions remains unclear. The aim of our study is to investigate the association between psoriasis and dry eye disease. <b><i>Methods:</i></b> This meta-analysis was registered in PROSPERO (CRD42020199445) and adhered to MOOSE checklist and PRISMA guidance for all processes. PubMed, Embase, Web of Science, and Cochrane databases were searched for studies examining the association between psoriasis and dry eye disease from inception to December 13, 2020. The primary outcome was the prevalence of dry eye disease in patients with psoriasis relative to controls. The secondary outcomes were the Schirmer I test score, tear film breakup time (TBUT), and ocular surface disease index (OSDI). The risk of bias of the selected studies was assessed using the Newcastle-Ottawa Scale. <b><i>Results:</i></b> The meta-analysis showed a significant association between dry eye disease and psoriasis (OR, 8.49; 95% CI, 3.34–21.58). Moreover, patients with psoriasis had a significantly lower Schirmer I test score (MD, −2.80; 95% CI, −4.07 to −1.52), shorter TBUT (MD, −4.12; 95% CI, −5.22 to −3.02), and higher OSDI (MD, 20.15; 95% CI, 6.24–34.05; <i>p</i> &lt; 0.01), compared to controls. <b><i>Conclusions:</i></b> The current evidence supports an association between dry eye disease and psoriasis. These results suggest ophthalmologic assessment for the early recognition and management of dry eye in patients with psoriasis.
DOI: 10.34820/fk2/fh8fpa
title: Information Security Awareness Pada Pengguna Layanan Telehealth

description: Data used in our paper with the title : Information Security Awareness on Telehealth Service Users
DOI: 10.6084/m9.figshare.19374860.v1
title: Supplementary Material for: Psoriasis and Dry Eye Disease: A Systematic Review and Meta-Analysis

description: <b><i>Background:</i></b> Psoriasis is a chronic inflammatory skin disease with potential systemic involvement. Some evidence suggests an increased risk of dry eye in patients with psoriasis. However, the relationship between these two conditions remains unclear. The aim of our study is to investigate the association between psoriasis and dry eye disease. <b><i>Methods:</i></b> This meta-analysis was registered in PROSPERO (CRD42020199445) and adhered to MOOSE checklist and PRISMA guidance for all processes. PubMed, Embase, Web of Science, and Cochrane databases were searched for studies examining the association between psoriasis and dry eye disease from inception to December 13, 2020. The primary outcome was the prevalence of dry eye disease in patients with psoriasis relative to controls. The secondary outcomes were the Schirmer I test score, tear film breakup time (TBUT), and ocular surface disease index (OSDI). The risk of bias of the selected studies was assessed using the Newcastle-Ottawa Scale. <b><i>Results:</i></b> The meta-analysis showed a significant association between dry eye disease and psoriasis (OR, 8.49; 95% CI, 3.34–21.58). Moreover, patients with psoriasis had a significantly lower Schirmer I test score (MD, −2.80; 95% CI, −4.07 to −1.52), shorter TBUT (MD, −4.12; 95% CI, −5.22 to −3.02), and higher OSDI (MD, 20.15; 95% CI, 6.24–34.05; <i>p</i> &lt; 0.01), compared to controls. <b><i>Conclusions:</i></b> The current evidence supports an association between dry eye disease and psoriasis. These results suggest ophthalmologic assessment for the early recognition and management of dry eye in patients with psoriasis.
DOI: 10.21227/bhx1-dg63
title: IPL Dataset

description: It is a combination of statistics from various cricket information sources like cricbuzz, espncricinfo, etc. The dataset has records right from the originating year of the IPL i.e., 2008 up to the previous year 2021. The dataset has been encoded using a manual encoding technique where certain columns have been altered based on their value type
DOI: 10.5281/zenodo.4619965
title: Supplementary dataset for "High-resolution Finite Fault Slip Inversion of the 2019 Ridgecrest Earthquake using 3D Finite Element Modeling."

description: Supplementary dataset for "High-resolution Finite Fault Slip Inversion of the 2019 Ridgecrest Earthquake using 3D Finite Element Modeling."
DOI: 10.6084/m9.figshare.19374848
title: FAIR Data for COVID-19 European Commission Fall 2021 Workshop Series Premeeting Survey Results Dataset

description: Premeeting survey results dataset. The European Commission hosted a series of workshops in the Fall of 2021 to develop recommendations for short and long term investments in improving adherence to the FAIR principles across EU-funded health-related human subjects research consortia and data sharing platforms. The premeeting survey was sent to (1) COVID-19-focused primary research consortia; (2) platforms and infrastructures for sharing COVID-19-related data; (3) groups focused on enabling FAIR in the health data space; (4) stakeholder groups. The premeeting survey collected information on barriers to implementing FAIR and on workshop participants' preferences for European Union investments and actions related to improving the implementation of FAIR in health research for COVID-19 response and beyond.
DOI: 10.6084/m9.figshare.19374848.v2
title: FAIR Data for COVID-19 European Commission Fall 2021 Workshop Series Premeeting Survey Results Dataset

description: Premeeting survey results dataset. The European Commission hosted a series of workshops in the Fall of 2021 to develop recommendations for short and long term investments in improving adherence to the FAIR principles across EU-funded health-related human subjects research consortia and data sharing platforms. The premeeting survey was sent to (1) COVID-19-focused primary research consortia; (2) platforms and infrastructures for sharing COVID-19-related data; (3) groups focused on enabling FAIR in the health data space; (4) stakeholder groups. The premeeting survey collected information on barriers to implementing FAIR and on workshop participants' preferences for European Union investments and actions related to improving the implementation of FAIR in health research for COVID-19 response and beyond.
DOI: 10.6084/m9.figshare.19374848.v1
title: FAIR Data for COVID-19 European Commission Fall 2021 Workshop Series Premeeting Survey Results Dataset

description: Premeeting survey results dataset. The European Commission hosted a series of workshops in the Fall of 2021 to develop recommendations for short and long term investments in improving adherence to the FAIR principles across EU-funded health-related human subjects research consortia and data sharing platforms. The premeeting survey was sent to (1) COVID-19-focused primary research consortia; (2) platforms and infrastructures for sharing COVID-19-related data; (3) groups focused on enabling FAIR in the health data space; (4) stakeholder groups. The premeeting survey collected information on barriers to implementing FAIR and on workshop participants' preferences for European Union investments and actions related to improving the implementation of FAIR in health research for COVID-19 response and beyond.
DOI: 10.6084/m9.figshare.19374398
title: oral health education data

description: Oral screening data collected using World Health Organization (WHO) Oral Health Assessment Form and the Community periodontal index (CPI).
DOI: 10.6084/m9.figshare.19374398.v1
title: oral health education data

description: Oral screening data collected using World Health Organization (WHO) Oral Health Assessment Form and the Community periodontal index (CPI).
DOI: 10.6084/m9.figshare.19374890
title: Figure2data.sav

description: (1) PA: pitch angle of Fengyun-3B in 2015(2) LL: L* of Fengyun-3B in 2015(3) KK: K of Fengyun-3B in 2015
DOI: 10.6084/m9.figshare.19374890.v2
title: Figure2data.sav

description: (1) PA: pitch angle of Fengyun-3B in 2015(2) LL: L* of Fengyun-3B in 2015(3) KK: K of Fengyun-3B in 2015
DOI: 10.6084/m9.figshare.19374890.v1
title: Figure2

description: (1) PA: pitch angle of Fengyun-3B in 2015(2) LL: L* of Fengyun-3B in 2015(3) KK: K of Fengyun-3B in 2015
DOI: 10.6084/m9.figshare.19374900
title: Description of medieval walrus rostra from Kyiv from Walruses on the Dnieper: new evidence for the intercontinental trade of greenlandic ivory in the Middle Ages

description: Table S1. Description (including chaîne opératoire steps) of nine medieval walrus rostra from Kyiv.
DOI: 10.6084/m9.figshare.19374900.v1
title: Description of medieval walrus rostra from Kyiv from Walruses on the Dnieper: new evidence for the intercontinental trade of greenlandic ivory in the Middle Ages

description: Table S1. Description (including chaîne opératoire steps) of nine medieval walrus rostra from Kyiv.
DOI: 10.6084/m9.figshare.19374906
title: Stable isotope, aDNA and osteometric data from Walruses on the Dnieper: new evidence for the intercontinental trade of greenlandic ivory in the Middle Ages

description: Table S2. Genetic clade, sex determination (by aDNA and/or tusk socket measurement) and stable isotope data for walrus rostra and control specimens considered in this study.
DOI: 10.6084/m9.figshare.19374906.v1
title: Stable isotope, aDNA and osteometric data from Walruses on the Dnieper: new evidence for the intercontinental trade of greenlandic ivory in the Middle Ages

description: Table S2. Genetic clade, sex determination (by aDNA and/or tusk socket measurement) and stable isotope data for walrus rostra and control specimens considered in this study.
DOI: 10.6084/m9.figshare.19372808.v1
title: Figure1data.sav

description: Contains: (1)tt: time,for (3)(4)(5) (2) LL:L*,for (3)(4)(5)(3) rbspa1: VAP-A 207-288keV_8.2deg.(4) rbspa2: VAP-A 207-288keV_24.5deg.(5) fy3b: VAP-A 150-350keV(6)tline: for (7)(8) (7)kpdata(8)Dstdata<br>
DOI: 10.34740/kaggle/dsv/3312108
title: Contrastive Language Image Pretraining by openai
DOI: 10.6084/m9.figshare.19374884
title: consent form

description: Consent form for the participants.
DOI: 10.5281/zenodo.6364437
title: Supplementary dataset for "High-resolution Finite Fault Slip Inversion of the 2019 Ridgecrest Earthquake using 3D Finite Element Modeling."

description: Supplementary dataset for "High-resolution Finite Fault Slip Inversion of the 2019 Ridgecrest Earthquake using 3D Finite Element Modeling."
DOI: 10.5281/zenodo.4619964
title: Supplementary dataset for "High-resolution Finite Fault Slip Inversion of the 2019 Ridgecrest Earthquake using 3D Finite Element Modeling."

description: Supplementary dataset for "High-resolution Finite Fault Slip Inversion of the 2019 Ridgecrest Earthquake using 3D Finite Element Modeling."
DOI: 10.26165/juelich-data/ket287
title: Replication Data Set for the study on 2020 ozone depletion

description: This data repository provides access to the model data of the study by Grooß and Müller submitted to JGR (2020). In this study, the unprecedented Arctic stratospheric ozone loss in the winter 2019/2020 is examined using simulations of the Chemical Lagrangian Model of the Stratosphere (CLaMS) and data from ACE-FTS, AURA-MLS and AURA-OMI. The data set contains model results for two simulations (REF, D25) described in the publication as well as the corresponding MLS satleeite data, evaluated in 3 dimensions, equivalent latitude, potential temperature and time
DOI: 10.6084/m9.figshare.13076813.v7
title: Interviews on Technical Excellence

description: Interviews with agile practitioners on the topic of Technical Excellence.
DOI: 10.5445/ir/1000143697
title: Supplementary Material for the paper "Results from the Verification of Spectrum Auction Model"
DOI: 10.6084/m9.figshare.13076813.v8
title: Interviews on Technical Excellence

description: Interviews with agile practitioners on the topic of Technical Excellence.
DOI: 10.6084/m9.figshare.13076813
title: Interviews on Technical Excellence

description: Interviews with agile practitioners on the topic of Technical Excellence.
DOI: 10.6084/m9.figshare.13076813.v10
title: Interviews on Technical Excellence

description: Interviews with agile practitioners on the topic of Technical Excellence.
DOI: 10.6084/m9.figshare.13076813.v9
title: Interviews on Technical Excellence

description: Interviews with agile practitioners on the topic of Technical Excellence.
DOI: 10.6084/m9.figshare.19372808
title: Figure1data.sav

description: (1)tt: time,for (3)(4)(5) (2) LL:L*,for (3)(4)(5)(3) rbspa1: VAP-A 207-288keV_8.2deg.(4) rbspa2: VAP-A 207-288keV_24.5deg.(5) fy3b: VAP-A 150-350keV(6)tline: for (7)(8) (7)kpdata(8)Dstdata<br>
DOI: 10.6084/m9.figshare.19372808.v3
title: Figure1data.sav

description: (1)tt: time,for (3)(4)(5) (2) LL:L*,for (3)(4)(5)(3) rbspa1: VAP-A 207-288keV_8.2deg.(4) rbspa2: VAP-A 207-288keV_24.5deg.(5) fy3b: VAP-A 150-350keV(6)tline: for (7)(8) (7)kpdata(8)Dstdata<br>
DOI: 10.6084/m9.figshare.19372808.v2
title: Figure1data.sav

description: Contains: (1)tt: time,for (3)(4)(5) (2) LL:L*,for (3)(4)(5)(3) rbspa1: VAP-A 207-288keV_8.2deg.(4) rbspa2: VAP-A 207-288keV_24.5deg.(5) fy3b: VAP-A 150-350keV(6)tline: for (7)(8) (7)kpdata(8)Dstdata<br>
DOI: 10.26165/juelich-data/wpra1f
title: Using Long Short-Term Memory networks to connect water table depth anomalies to precipitation anomalies over Europe

description: This study utilized spatiotemporally continuous precipitation anomaly (pr_a) and water table depth anomaly (wtd_a) from integrated hydrologic simulation results (i.e., the TSMP-G2A data set) over Europe in combination with Long Short-Term Memory (LSTM) networks to capture the time-varying and time-lagged relationship between pr_a and wtd_a in order to obtain reliable models to estimate wtd_a at the individual pixel level. The data files provide the TSMP-G2A pr_a, the TSMP-G2A wtd_a, and the LSTM wtd_a data from 1996 to 2016, with a spatial resolution of 0.11 degree.
DOI: 10.26165/juelich-data/yrlpl0
title: Data used in: Nanoscale tip positioning with a multi-tip scanning tunneling microscope using topography images

description: We provide here the raw data used to produce the figures in the publication Leis et al. Rev. Sci. Instrum., 2021, ??, DOI: ??. fig1a.png: Optical microscopy data used to produce figure 1a. fig2a.png, fig2b.png: Optical microscopy data used to produce figures 2a, 2b. fig2c.stp, fig2d.stp, fig2e.stp, fig2f.stp: Scanning tunneling microscopy data as acquired, used to produce figures 2c, 2d, 2e, 2f. WSxM format. 000_kalibrierung_tip1_9500mV_145458x81820nm.bmp to 038_kalibrierung_tip1_9500mV_145458x81820nm.bmp: Optical microscopy data used to produce figure 4. 000... and 038... are also used to produce figures 3a, 3b. fig5a.bmp: Optical microscopy data used to produce figure 5a. fig5b.stp: Scanning tunneling microscopy data as acquired, used to produce figures 2c, 2d, 2e, 2f. WSxM format. fig5c.dat, fig5c_inset.dat: Data used to produce figure 5c. ASCII format. optical_microscope_scaling.txt: Optical microscope scaling data.
DOI: 10.6084/m9.figshare.19374965
title: Figure3data.sav

description: The distribution of K of VAP-A and Fengyun 3B when L*&gt;3 in 2015(1)rbspak: K for VAP-A(2)fy3bk: K for Fengyun 3B
DOI: 10.6084/m9.figshare.19374965.v1
title: Figure3data.sav

description: The distribution of K of VAP-A and Fengyun 3B when L*&gt;3 in 2015(1)rbspak: K for VAP-A(2)fy3bk: K for Fengyun 3B
DOI: 10.15468/dl.hqtzdy
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pyrus pseudopashia T.T.Yu"
 ]
}

 The dataset includes 27 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018426-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4kfry7
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((67.12631 19.82486,75.31169 19.82486,75.31169 25.05305,67.12631 25.05305,67.12631 19.82486))",
 "TaxonKey is Vanellus gregarius (Pallas, 1771)"
 ]
}

 The dataset includes 31 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023612-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tpyp4n
title: Occurrence Download

description: A dataset containing 204 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gavialis gangeticus (Gmelin, 1789)"
 ]
}

 The dataset includes 204 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007268-170826194755519/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ny5zu
title: Occurrence Download

description: A dataset containing 3030 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Acanthospermum hispidum DC.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3030 records from 203 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023761-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aembau
title: Occurrence Download

description: A dataset containing 17983 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 {
 "or" : [
 "TaxonKey is Sarcocornia fruticosa (L.) A.J.Scott",
 "TaxonKey is Sarcocornia perennis (Mill.) A.J.Scott",
 "TaxonKey is Salsola soda L.",
 "TaxonKey is Glinus lotoides L.",
 "TaxonKey is Myosoton aquaticum (L.) Moench",
 "TaxonKey is Saponaria officinalis L.",
 "TaxonKey is Moehringia lateriflora (L.) Fenzl",
 "TaxonKey is Sagina nodosa (L.) Fenzl",
 "TaxonKey is Dianthus armeria L.",
 "TaxonKey is Cerastium dubium (Bastard) Guépin",
 "TaxonKey is Honckenya peploides (L.) Ehrh.",
 "TaxonKey is Lychnis flos-cuculi L.",
 "TaxonKey is Lychnis alpina L.",
 "TaxonKey is Boerhavia repens L.",
 "TaxonKey is Pericallis appendiculata (L.fil.) B.Nord.",
 "TaxonKey is Pericallis hansenii (G.Kunkel) Sunding",
 "TaxonKey is Petasites paradoxus (Retz.) Baumg.",
 "TaxonKey is Bombycilaena discolor (Pers.) M.Laínz",
 "TaxonKey is Inula crithmoides L.",
 "TaxonKey is Jasonia glutinosa (L.) DC.",
 "TaxonKey is Klasea baetica (Boiss. ex DC.) Holub, 1977",
 "TaxonKey is Galatella aragonensis Nees",
 "TaxonKey is Picris hispanica (Willd.) P.D.Sell",
 "TaxonKey is Pulicaria canariensis Bolle",
 "TaxonKey is Pulicaria burchardii Hutch.",
 "TaxonKey is Mauranthemum decipiens (Pomel) Vogt & Oberpr.",
 "TaxonKey is Cheirolophus ghomerythus (Svent.) Holub",
 "TaxonKey is Cheirolophus teydis (C.Sm.) G.López",
 "TaxonKey is Cheirolophus massonianus (Lowe) O.E.Erikss., A.Hansen & Sunding",
 "TaxonKey is Cheirolophus canariensis (Willd.) Holub",
 "TaxonKey is Cheirolophus sventenii (A.Santos) G.Kunkel",
 "TaxonKey is Cheirolophus webbianus (Sch.Bip.) Holub",
 "TaxonKey is Cheirolophus satarataensis (Svent.) Holub",
 "TaxonKey is Cheirolophus crassifolius (Bertol.) Susanna",
 "TaxonKey is Palaeocyanus crassifolius (Bertol.) Dostál",
 "TaxonKey is Tolpis proustii Pit.",
 "TaxonKey is Tolpis calderae Bolle",
 "TaxonKey is Senecio auricula Bourgeau ex Coss.",
 "TaxonKey is Senecio leucophyllus DC.",
 "TaxonKey is Senecio boissieri DC."
 ]
 }
 ]
}

 The dataset includes 17983 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007268-171002173027117/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.