dataesr/scientific-paragraphs-categorization huggingface dataset:
Background The data we present are part of the AGRO-ECOSERVICES project (Assessing ecosystem services and disservices provided by arthropod species in Azorean agroecosystems). The project aims to evaluate the relative importance of native and non-native organisms as ecosystem services (ES) and disservices (ED) providers, by combining novel, direct and quantitative tools for monitoring agro-biodiversity. Ecosystem services include evaluation of natural pest control by predation, seed predation on weed plants, pollination, decomposition and ecosystem disservices, herbivory and seed predation on crop plants. Active Aerial Searching (AAS) (only in maize-fields) and pitfall traps were used to sample the arthropod biodiversity (predatory spiders, true-bugs and beetles and main insect pests).
All specimens were allocated to a taxonomic species by Paulo A. V. Borges. Juveniles were also included in the data presented in this paper since the low diversity of species in Azores allows their reliable identification. Step description: A reference collection for Azorean arthropods (deposited at the Dalberto Teixeira Pombo Insect Collection, University of Azores) started to be prepared in 1999 by one of us (PAVB) and many taxonomists contributed since then in the identification of species. For all the specimens for which adequate identification was not possible, a new "morphospecies code" was created.
Description: The dataset is available on the Global Biodiversity Information Facility platform, GBIF  (Borges et al. 2021). The following data table includes all the records for which a taxonomic identification of the species was possible. The dataset submitted to GBIF is structured as a sample event dataset, with two tables: event (as core) and occurrences (abundance data). The data in this sampling event resource have been published as a Darwin Core Archive (DwCA), which is a standardised format for sharing biodiversity data as a set of one or more data tables. The core data file contains 358 records (eventID) and the occurrences file 5134 records (occurrenceID). This IPT (Integrated Publishing Toolkit) archives the data and thus serves as the data repository. The data and resource metadata are available for download from  Borges et al.
AgEcSe-AGRO-ECOSERVICES -Assessing ecosystem services and disservices provided by arthropod species in Azorean Agroecosystems (ACORES-01-0145-FEDER-000073) Personnel: Project leaders: Paulo A. V. Borges and António Onofre Soares Team members: Marco Ferrante, Artur Gil, Marco Girardello, David H. Lopes, Paulo Monjardino, Rui Nunes. External Consultants: Sven Bacher, Gabor Lövei, François Rigal Parataxonomists: Jonne Bonnet, Ricardo Costa, Rui Nunes Darwin Core Database management: Paulo A. V. Borges, Lucas Lamelas-López, Enésima Pereira.
Entomoteca Dalberto Teixeira Pombo at University of Azores Collection identifier: DTP Specimen preservation method: All specimens were preserved in 96% ethanol. Curatorial unit: Dalberto Teixeira Pombo insect collection at the University of the Azores (Curator: Paulo A. V. Borges) Usage licence Usage licence: Creative Commons Public Domain Waiver (CC-Zero) Data resources Data package title: Monitoring Arthropods in Azorean Agroecosystems: the project AGRO-ECOSERVICES (AgEcSe) Resource link: https://www. gbif. org/dataset/822f3765-6950-40c5-9353-1f335599007c Alternative identifiers: https://doi. org/10. 15468/mvtmyx Number of data sets: 1 Data set name: Monitoring Arthropods in Azorean Agroecosystems: the project AGRO-ECOSERVICES Download URL: http://ipt. gbif. pt/ipt/resource?r=arthropods_agroecoservices Data format: Darwin Core Archive Data format version: version 1.
Acknowledgements We thank all the farmers and landowners who permitted us to work on their properties:  Adega Simas ,  Eleutério Nunes ,  Evangelho ,  Francisco Helvideo Barcelos ,  Marcelino Faria ,  Mozart Macedo Ávila ,  Narciso Borba ,  Paulo Ferreira ,  Ruben Barcelos ,  José Baldaya  and Márcio. This work was financed by  FEDER  ( European Regional Development Fund ) in 85% and by  Azorean Public  funds by  15%  through the  Operational Program Azores 2020 , under the project  AGRO-ECOSERVICES (ACORES-01-0145-FEDER-000073 ). The Darwin-Core database was prepared within the scope of the project  AZORESBIOPORTAL -PORBIOTA  ( ACORES-01-0145-FEDER-000072 ).
Title: AgEcSe-AGRO-ECOSERVICES -Assessing ecosystem services and disservices provided by arthropod species in Azorean Agroecosystems (ACORES-01-0145-FEDER-000073) Personnel: Project leaders: Paulo A. V. Borges and António Onofre Soares Team members: Marco Ferrante, Artur Gil, Marco Girardello, David H. Lopes, Paulo Monjardino, Rui Nunes. External Consultants: Sven Bacher, Gabor Lövei, François Rigal Parataxonomists: Jonne Bonnet, Ricardo Costa, Rui Nunes Darwin Core Database management: Paulo A. V. Borges, Lucas Lamelas-López, Enésima Pereira.
vocabulary: 'native', 'introduced', 'endemic', "unknown". decimalLatitude Approximate centre point decimal latitude of the field site in GPS coordinates. geodeticDatumTheellipsoid, geodetic datum or spatial reference system (SRS) upon which the geographic coordinates given in decimalLatitude and decimalLongitude are based. coordinateUncertaintyInMetresUncertainty of the coordinates of the centre of the sampling plot. coordinatePrecisionPrecision of the coordinates. georeferenceSourcesAlist (concatenated and separated) of maps, gazetteers or other resources used to georeference the Location, described specifically enough to allow anyone in the future to use the same resources. OccurrenceTableTablewith species abundance data (beginning of new table). eventID Identifier of the events, unique for the dataset.
, 2020). The good performance and high temporal resolution of UQRG allow us to introduce a new ionospheric storm scale based on the definition of I-scale and historical UQRG from 1997 to 2014. The new ionospheric storm scale is able to provide in a fast and straightforward way (based on a single daily GIM file in IONEX format instead of hundreds of raw GNSS data files) for generating a realistic global map of the ionospheric storm disturbance level, which is dependent-free on season, local time, and geographic location.
Data and Methodology for IsUG The hourly median VTEC at each grid point was extracted from historical UQRG with a 15-min resolution (during the period 1997-2014). Since the spatial resolution of UQRG is  2. 5 • × 5 • in latitude and longitude, the hourly median VTEC is derived at 5,112 grid points on a global scale. Hereafter the derived hourly VTEC is denoted as. The percentage deviation of VTEC was computed to describe the current ionospheric state as indicated in previous studies  (Bremer et al. , 2006; Nishioka et al. , 2017). The formula can be seen in Equation  1. 𝑃𝑃𝑇𝑇𝑇𝑇𝑇𝑇 = 100 × (𝐺𝐺𝑇𝑇𝑇𝑇𝑇𝑇 -𝑅𝑅𝑇𝑇𝑇𝑇𝑇𝑇 ) 𝑅𝑅𝑇𝑇𝑇𝑇𝑇𝑇 (1) where   is the percentage deviation of VTEC. is the hourly median VTEC derived at grid points of GIM. The hourly median VTEC is the median of the five VTEC values during 1-h interval, under the GIM VTEC temporal resolution of 15 min.
Acknowledgments The first author is grateful for the financial support of the  China Scholarship Council (CSC). This research has been done under the partial support of the  European Space Agency and European Commission funded eMON-ITOR/MoNEWIC  ( H2020-ESA-037 ) project and the  European Commission funded PITHIA-NRF  ( H2020-IN-FRAIA-2018-2020 101007599 ) project.
Data Availability Statement The UQRG data are openly accessible (https://cddis. nasa. gov/archive/gnss/products/ionex) from Crustal Dynamics Data Information System  (Noll, 2010). The Kp index is available (ftp://ftp. gfz-potsdam. de/pub/ home/obs/Kp_ap_Ap_SN_F107) from GeoForschungsZentrum  (Matzka et al. , 2021)  and Dst index is accessible (http://wdc. kugi. kyoto-u. ac. jp/dstdir/) from World Data Center for Geomagnetism, Kyoto (World Data  Center for Geomagnetism et al. , 2015). Figure 7. The IsUG global map from 14:00 to 19:00 UTC of November 7, 2004.
The integrated fiducial cross-section and unfolded differential jet mass spectrum of high transverse momentum  →  decays are measured in  events in proton-proton collisions at √  = 13 TeV. The data analysed were collected between 2015 and 2016 with the ATLAS detector at the Large Hadron Collider and correspond to an integrated luminosity of 36. 1 fb -1. Photons are required to have a transverse momentum  T > 175 GeV. The  →  decay is reconstructed using a jet with  T > 200 GeV, found with the anti-   = 1. 0 jet algorithm, and groomed to remove soft and wide-angle radiation and to mitigate contributions from the underlying event and additional proton-proton collisions. Two different but related measurements are performed using two jet grooming definitions for reconstructing the  →  decay: trimming and soft drop.
In addition, individual groups and members have received support from  BCKDF ,  CANARIE, Compute Canada ,  CRC  and  IVADO ,  Canada ;  Beĳing Municipal Science & Technology Commission, China ;  COST ,  ERC ,  ERDF ,  Horizon 2020  and  Marie Skłodowska-Curie Actions ,  European Union ;  Investissements d'Avenir Labex, Investissements d'Avenir Idex  and  ANR, France ;  DFG and AvH Foundation ,  Germany; Herakleitos ,  Thales  and  Aristeia  programmes co-financed by  EU-ESF  and the  Greek NSRF, Greece; BSF-NSF  and GIF, Israel;  La Caixa Banking Foundation ,  CERCA  Programme.
ACKNOWLEDGEMENTS ALSPAC. Core funding for ALSPAC is provided by the UK Medical Research Council and Wellcome (217065/Z/19/) and the University of Bristol. Genotyping of the ALSPAC maternal samples was funded by Wellcome (WT088806) and the offspring samples were genotyped by Sample Logistics and Genotyping Facilities at the Wellcome Sanger Institute and LabCorp (Laboratory Corporation of America) using support from 23andMe. A comprehensive list of grants funding is available on the ALSPAC website (http://www. bristol. ac. uk/alspac/external/documents/grant-acknowledgements. pdf). We are extremely grateful to all the families who took part in ALSPAC, the midwives for their help in recruiting them, and the whole ALSPAC team, which includes interviewers, computer and laboratory technicians, clerical workers, research scientists, volunteers, managers, receptionists and nurses.
AM. We thank the participants of the ANDIS-MDC study. The study is supported by Swedish Research Council (project grant 521-2010-3490 and infrastructure grants 2010-5983, 2012-5538, and 2014-6395). The study is supported by Crafoord foundation (project grant 20200891) and Hjärt-Lungfonden (project grant: 20180522). ERF. We are grateful to all participants and their relatives, to general practitioners and neurologists for their contributions, to P. Veraart for her help in genealogy, to Jeannette Vergeer for the supervision of the laboratory work, and to P. Snijders for his help in data collection. The ERF study was supported by grants from the Netherlands Organisation for Scientific Research (Pionier, 047. 016. 009, 047. 017. 043), Erasmus MC, and the Centre for Medical Systems Biology (CMSB; National Genomics Initiative).
BIB. Born in ESTGDM. This study was supported by the Estonian Research Council grants IUT20-43 and PRG712. We are grateful to Dr Anne Kirss and midwife Mrs Laura Lauren from Women's Clinic, Tartu University Hospital, for interviewing the participants and collecting the blood samples. NFBC Cohort 1966 31y follow-up study. We thank all cohort members and researchers who participated in the 31 yrs study. We also wish acknowledge the work of the NFBC project center. NFBC1966 received financial support from University of Oulu Grant no. 65354 and 24000692, Oulu University Hospital Grant no. 2/97, 8/97, and 24301140, Ministry of Health and Social Affairs Grant no. 23/251/97, 160/97, 190/97. National Institute for Health and Welfare, Helsinki Grant no. 54121, Regional Institute of Occupational Health, Oulu, Finland Grant no.
50621, 54231, 54121, Regional Institute of Occupational Health, Oulu, Finland Grant no. 50621, 54231 and ERDF European Regional Development Fund Grant no. 539/2010 A31592. The NFBC team is acknowledging the following Funding/Support: This work was supported by the European Union's Horizon 2020 research and innovation program under grant agreement No. 633595 (DynaHEALTH), and grant agreement No. 733206 (LifeCycle) H2020-824989 EUCANCONNECT, H2020-873749 LongITools, H2020-848158 EarlyCause and the JPI HDHL, PREcisE project MR/S03658X/1, ZonMw the Netherlands no. P75416; the academy of Finland EGEA-project (285547). NFBC Cohort 1966 46y follow-up study. We thank all cohort members and researchers who participated in the 46 yrs study. We also wish acknowledge the work of the NFBC project center.
Bradford (BiB) data used in this research was funded by Wellcome (WT101597MA), a joint grant from the UK Medical Research Council (MRC) and UK Economic and Social Science Research Council (ESRC) (MR/N024397/1), the British Heart Foundation (CS/16/4/32482) and the National Institute for Health Research (NIHR) under its Collaboration for Applied Health Research and Care (CLAHRC) for Yorkshire and Humber and the Clinical Research Network (CRN). Born in Bradford is only possible because of the enthusiasm and commitment of the Children and Parents in BiB. We are grateful to all the participants, teachers, school staff, health professionals and researchers who have made Born in Bradford happen. BOTNIA. The Botnia Study (L. G. , T. T. ) have been financially supported by grants from Folkhälsan Research Foundation, the Sigrid Juselius Foundation, The Academy of Finland (grants no.
263401, 267882, 312063, 336822 to LG; 312072 and 336826 to TT), University of Helsinki, Nordic Center of Excellence in Disease Genetics, EU (EXGENESIS), MOSAIC FP7-600914, Ollqvist Foundation, Swedish Cultural Foundation in Finland, Finnish Diabetes Research Foundation, Foundation for Life and Health in Finland, Signe and Ane Gyllenberg Foundation, Finnish Medical Society, Paavo Nurmi Foundation, State Research Funding via the Helsinki University Hospital, Perklén Foundation, Närpes Health Care Foundation and Ahokas Foundation. The study has also been supported by the Ministry of Education in Finland, Municipal Heath Care Center and Hospital in Jakobstad and Health Care Centers in Vasa, Närpes and Korsholm. The research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Programme (FP7/2007-2013) / ERC grant agreement n° 269045.
The study is also supported by Crafoord foundation (project grant 20200891) and Hjärt-Lungfonden (project grant: 20180522) (RBP). The skillful assistance of the Botnia Study Group is gratefully acknowledged. DECODE. We thank the women who have participated in the deCODE study. EGCUT. This study was funded by the European Union through the European Regional Development Fund (Project No. 2014-2020. 4. 01. 15-0012 and Project No. 2014-2020. 4. 01. 16-0125), by the European Union through Horizon 2020 research and innovation programme under grant agreement No 101017802 and 810645 and by the Estonian Research Council grants PUT (PRG687, PRG1291). Data analyses were carried out in part in the High-Performance Computing Center of University of Tartu. We thank participants and support staff of Estonian Biobank.
FINNGEDI. The EPx-GDM study has been supported by the French government, managed by the National Research Agency (ANR) under the Future Investment Program (PIA) with the references ANR-10-LABX-0046 (European Genomic Institute for Diabetes [E. G. I. D]) and ANR-10-EQPX-07-01 (LIGAN-PM). This work was also supported by the ANR-16-CE17-0017-01, by the Fondation Francophone pour la Recherche sur le Diabète (FFRD) that is sponsored by the Fédération Française des Diabétiques (FFD), Abbott, AstraZeneca, Eli Lilly, Merck Sharp & Dohme (MSD) and Novo Nordisk, and by the National Center for Precision Diabetic Medicine -PreciDIAB, which is jointly supported by the French National Agency for Research (ANR-18-IBHU-0001), by the European Union (FEDER), by the Hauts-de-France Regional Council and by the European Metropolis of Lille (MEL).
GEN3G. Gen3G has been supported by an American Diabetes Association accelerator award #1-15-ACE-26 (M. F. H), Fonds de Recherche du Québec en Santé #20697 (M. F. H); Canadian Institute of Health Research #MOP 115071 (M. F. H), and Diabète Québec grants (P. P. and L. B. ). Gen3G research team thanks all Gen3G participants. GIFTS. This study was supported by Medical Research Council [Clinical Research TrainingFellowship (G0800441)], the European Union (FP7 EU grant: 83599025) and the Diabetes Association of Bangladesh. The authors are indebted to all the participants from Dhaka (Bangladesh) and London (UK).
NFBC1986 received financial support: EU QLG1-CT-2000-01643 (EUROBLCS) Grant no. E51560, NorFA Grant no. 731, 20056, 30167, USA / NIH 2000 G DF682 Grant no. 50945. The NFBC team acknowledges the following funding/support: the European Union's Horizon 2020 research and innovation program under grant agreement No. 633595 (DynaHEALTH), and grant agreement No. 733206 (LifeCycle) H2020-824989 EUCANCONNECT, H2020-873749 LongITools, H2020-848158 EarlyCause and the JPI HDHL, PREcisE project, ZonMw the Netherlands no. P75416; the academy of Finland EGEA-project (285547). PREDO. The PREDO study was supported by Academy of Finland, EVO research funding (A special Finnish state subsidy for health science research), Finnish Medical Foundation, Jane and Aatos Erkko Foundation, Päivikki and Sakari Sohlberg Foundation, University of Helsinki Research Funding, Jalmari ja Rauha Ahokas foundation, Yrjö Jahnsson foundation, Juho Vainio foundation.
SNUH. This work was supported by the Korea Health 21 R&D Project, Korean Ministry of Health and Welfare (grant no. 00-PJ3-PG6-GN07-001). This study was supported by a grant from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute, funded by the Ministry of Health & Welfare, Republic of Korea to S. H. K (grant number HI15C3131).
We searched the United States National Institute for Biotechnology Information/National Institutes of Health/National Library of Medicine PubMed database (https://www. ncbi. nlm. nih. gov/pubmed) for studies pertaining to the burden of PA in the following main keyword/topic areas: peanut allergy prevalence and incidence, accidental exposures, anaphylaxis and severe reactions, healthcare utilization, economic costs, mortality, comorbidities, burden of peanut allergy on the individual and family (including requirements of disease self-management) and peanut allergy impact on HRQoL. The searches for each topic area, search terms used for each, and main results of each search are illustrated in Figure  S1. Initial searches were limited to data published within the past 2 years. If these data were insufficient, we conducted a second search within a 10-year time frame.
35, 36 me, but not all, data also indicate that PA incidence and prevalence may be increasing in Western nations. 3, 37, 38 A longitudinal national US claims database study found that annual incidence of PA in 1-year-old children had increased from 1. 7% in 2001 to 5. 2% in 2017  39. A recent study in a representative US population of over 40,000 individuals found that PA impacts 2. 2% of children and 1. 8% of adults. 40, 41   n addition, a retrospective cohort study of children aged 0-6 years in the Australian Capital Territory reported increasing incidences of PA (children born in 2001, 0. 73%; children born in 2004, 1. 15%). 42 ong prevalence studies, a nationwide US study found a 3-fold increase in self-reported PA prevalence in children between 1997 (0. 4%) and 2008 (1. 4%),  37  although actual prevalence figures may be inflated in studies only considering self-reported PA.
38  More recently, a three-decade, retrospective UK medical records database study found that point prevalence per 100,000 had risen from 31 to 202 in the total population, and from 116 to 635 in children from 2000 to 2015. 44 In addition, this study found that incidence of PA overall in the UK had more than doubled, from 8. 6 to 18. 2 per 100, 000, between 2000 and 2015. However, stable PA prevalence has been reported in two Canadian studies for the periods of 2000 to 2007 in Montreal  45  and 2010 to 2017 across Canada  46  and in a study conducted on the Isle of Wight, UK between the late 1990s and 2004. 47.
| Healthcare utilization In the European Anaphylaxis Registry, peanut is the most common trigger involved in anaphylaxis cases in both children and adolescents, accounting for 26. 3% and 18. 3% of food-related anaphylaxis cases, respectively. 54 Peanut is also the most common food trigger involved in most studies of paediatric emergency department (ED) admissions overall and in paediatric intensive care unit (ICU) admissions in North America; peanut is the second most common trigger, after milk, in France. 57, 58 Anaphylaxis to peanut is also associated with high rates of hospital admission following ED visits, compared with other food-related and non-food-related causes of anaphylaxis. 59 Recent US survey data show that 23% of children  40  and 20% of adults  41  with PA reported an ED visit in the past year due to a food-allergic reaction.
| Direct medical costs Among US studies, a retrospective national US government healthcare database analysis of the annual direct costs of food allergy, including PA, over the years 2006 and 2007 estimated that total annual medical costs were $225 million (2007 US dollars), with office visits accounting for just over half of the cost; the rest of the cost was split among ED visits, inpatient and outpatient visits, ambulance transfers, and AAIs. 63 A survey of US caregivers of children with food allergy estimated direct medical costs of $4. 3 billion annually (or $724 per child). 64 e caregivers also reported a willingness to pay $3504 per year per child for a safe and effective treatment that would allow the child to eat all foods; that total cost was estimated at $20. 8 billion annually, a number similar to the total estimated indirect costs spent on children with food allergy ($20.
| Indirect medical costs A Swedish case-control study demonstrated that indirect costs of food allergy were significantly higher in families with food-allergic children (excluding adolescents) compared with controls. 68 The US retrospective, government healthcare database study mentioned above also estimated annual indirect costs (eg lost work productivity and earnings) of food allergy including PA for 2006-2007 to be $115 million (2007 US dollars). 63 A cross-sectional US survey study  64  estimated annual lost labour productivity due to food allergy at $773 million, or $130 per child, associated with accompanying child to medical visits; $5. 5 billion, or $931 per child, in annual out-of-pocket costs, including special diets/allergen-free foods, changes in childcare, and changes in schools; and annual opportunity costs due to forgone labour market activities, at $14 billion, or $2399 per child.
93 The French MIRABEL study found that accidental exposure peanut doses eliciting reactions were <100 mg in 44. 3% of study participants with PA; however, such data have not been incorporated into clear and universal labelling regulations. 4 The quantity of accidentally ingested peanut leading to symptoms in patients with PA appears to vary widely and is not well studied. The lack of consensus for standard labelling impairs the ability of healthcare professionals to provide an effective management approach and may indirectly impact emotional adjustment, social interactions and coping strategies,  [94] [95] [96] [97]  causing increased anxiety and impaired QoL. 98 Recent recommendations from The National Academies of Sciences, Engineering and Medicine (NASEM) highlighted the importance of evaluating and improving food labels with allergen information.