cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5255/ukda-sn-7022-26
title: Prices Survey Microdata, 1996-2022: Secure Access

description: The &lt;i&gt;Prices Survey Microdata&lt;/i&gt; include the underlying price data used by the Office for National Statistics (ONS) to produce the Consumer Prices Index (CPI), the Retail Prices Index (RPI) and associated price indices. The CPI has become the main domestic measure of inflation for macroeconomic purposes in the UK. Since December 2003 it has been used for the inflation target that the Bank of England is required to achieve. The RPI is the most long-standing measure of inflation in the UK, and its uses have included the indexation of pensions, state benefits and index-linked gilts. The study also includes the data underlying the Producer Prices Index.&lt;br&gt; &lt;br&gt; There are four levels of sampling for local price collection: locations/shopping areas; outlets/shops within locations; representative items/goods and services; and products and varieties (price quotes).&lt;br&gt; &lt;br&gt; There are two basic price collection methods: local and central. Local collection is used for most items; prices are obtained from outlets in about 150 locations around the country. Some 110,000 quotations are obtained by this method. Normally, collectors must visit the outlet, but prices for some items may be collected by telephone. Central collection is used for items where all the prices can be collected centrally by the ONS with no field work. These prices can be further sub-divided into two categories, depending on their subsequent use: 1) central shops, where the prices are combined with prices obtained locally, and 2) central items, where the prices are used on their own to construct centrally calculated indices. There are about 130 items for which the prices are collected centrally.&lt;br&gt; &lt;br&gt; The retail price data include the locations containing the shopping outlets from which the price quotes were obtained. These locations are intended to be broadly representative of a central shopping area and the areas where the local shopping population tend to live. The data also include the regions in which those shopping areas are located.&lt;br&gt; &lt;br&gt; &lt;i&gt;Linking to other business studies&lt;/i&gt;&lt;br&gt; The producer prices data contain Inter-Departmental Business Register (IDBR) reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.&lt;br&gt; &lt;br&gt;&lt;span style="font-style: italic;"&gt;Latest edition information&lt;/span&gt;&lt;br&gt;For the twenty-sixth edition (November 2022), monthly Item Indices and Price Quotes data files for September 2022 have been added to the study.&lt;br&gt;&lt;br&gt;
DOI: 10.5255/ukda-sn-6702-30
title: Monthly Wages and Salaries Survey, 2000-2022: Secure Access
title: MWSS

description: &lt;p&gt;The &lt;i&gt;Monthly Wages and Salaries Survey&lt;/i&gt; (MWSS) is the main source of information for three key indicators of Short-Term Earnings generated by the Office for National Statistics: the Average Earnings Index, the Average Weekly Earnings and the Index of Labour Costs per Hour.&lt;br&gt; &lt;br&gt;The MWSS is distributed monthly to approximately 8,800 businesses and covers around 12.8 million employees. Companies are required to respond under the Statistics of Trade Act 1947. Businesses are selected from the Inter-Departmental Business Register. Every company with more than 1,000 employees is surveyed. Sampling is random for businesses with fewer than 1,000 employees. The MWSS does not cover businesses with fewer than 20 employees, and so the very smallest businesses in the economy are not represented. The self-employed and government-supported trainees are also not surveyed.&lt;br&gt; &lt;br&gt;The major strength of the MWSS is that it provides comprehensive information on earnings, by industry. In terms of industrial coverage, information on all industries is collected, as defined by the Standard Industrial Classifications (1992). Information on both the public and private sectors is available.&lt;br&gt; &lt;br&gt; &lt;i&gt;Linking to other business studies&lt;/i&gt;&lt;br&gt;These data contain Inter-Departmental Business Register reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.&lt;br&gt;&lt;br&gt;&lt;span style="font-style: italic;"&gt;Latest edition information&lt;br&gt;&lt;/span&gt;For the thirtieth edition (November 2022), a monthly data file for July 2022 has been added to the study.&lt;/p&gt;
DOI: 10.5255/ukda-sn-8912-4
title: Short-Term Employment Surveys, 2020-2022: Secure Access
title: STES

description: &lt;div&gt;The&lt;span style="font-style: italic;"&gt; Short-Term Employment Surveys&lt;/span&gt; (STES) are three statutory, quarterly surveys of private sector businesses. The surveys ask businesses for their number of employees (male/female/full-time/part-time) on a specified date (the second or third Friday of March, June, September or December). Online questionnaires are sent to a sample of approximately 37,000 businesses each quarter. The combined surveys cover all sectors of the private sector economy and all industries in England, Scotland and Wales (Great Britain) with the exception of 'agriculture, forestry and fishing' and 'private households'. Northern Ireland businesses are not approached via STES. The STES data feeds into the quarterly &lt;a href="https://www.ons.gov.uk/search?q=workforce+jobs" target="_blank"&gt;UK Workforce Jobs&lt;/a&gt; estimates published by the Office for National Statistics.&lt;br&gt;&lt;br&gt;&lt;div&gt;&lt;span style="font-style: italic;"&gt;Linking to other business studies&lt;/span&gt;&lt;/div&gt;&lt;div&gt;These data contain Inter-Departmental Business Register (IDBR) reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.&lt;br&gt;&lt;br&gt;&lt;span style="font-style: italic;"&gt;Latest edition information&lt;/span&gt;&lt;br&gt;For the fourth edition (November 2022), new Construction Survey, Monthly Business Survey and Quarterly Business Survey data files have been added for June 2022. In addition, the three March 2022 data files have been updated.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;
DOI: 10.5255/ukda-sn-9025-1
title: Public Attitudes Tracker, 2021-2022: Secure Access
title: BEIS Public Attitudes Tracker; PAT

description: &lt;p&gt;The &lt;span style="font-style: italic;"&gt;Public Attitudes Tracker&lt;/span&gt; (PAT) survey measures public awareness, attitudes, and behaviours relating to Department for Business, Energy and Industrial Stategy (BEIS) policies such as energy, climate change, consumer rights, artificial intelligence and workers rights.&lt;/p&gt;&lt;p&gt;A previous version of the PAT began in March 2012 and was run on a quarterly basis with a total of 37 waves of data collection collected between 2012 and 2021.  In Summer 2021, BEIS recommissioned the survey with the aim of creating a new time series based on a methodology which will allow more robust tracking of measures over the longer-term. &lt;br&gt;&lt;/p&gt;&lt;p&gt;The new survey series, beginning in Autumn 2021, uses Address Based Online Surveying (ABOS), a cost-effective method of surveying the general population using random sampling techniques.  ABOS is a 'push to web' methodology where the primary method of data collection is online, but respondents are also able to complete a paper version of the questionnaire which enables participation among the offline population.&lt;/p&gt;&lt;p&gt;The PAT is run four times a year.  Questions on issues where attitudes are likely to shift quickly are repeated quarterly; other questions are asked annually with a few topics asked bi-annually.&lt;/p&gt;&lt;p&gt;Data are collected from a representative sample of the UK population so that results fairly represent the views of the wider population.&lt;/p&gt;&lt;p&gt;The main objectives of the new PAT series are:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;to provide BEIS with attitudinal data on their priorites&lt;/li&gt;&lt;li&gt;to understand how BEIS policies affect customers&lt;/li&gt;&lt;li&gt;to provide robust evidence for early policy development&lt;/li&gt;&lt;li&gt;to monitor changes in public attitudes and awareness over time&lt;/li&gt;&lt;li&gt;to establish a robust methodology for tracking change, which is future-proofed, ensuring comparable data collection over time&lt;/li&gt;&lt;/ul&gt;
DOI: 10.5255/ukda-sn-9024-1
title: Poverty in Scotland, 2022
title: Scotland Insights

description: &lt;p class="x_x_x_MsoNormal"&gt;The Poverty in Scotland study was commissioned by the Joseph Rowntree Foundation to fill knowledge gaps in our understanding of poverty, economic security and the cost of living crisis (2022) in Scotland. The survey was undertaken online with participants by Savanta ComRes between 11th July and 2nd August 2022 with adults aged 18+. The data explores a range of financial factors and economic security indicators as well as people’s reactions to the cost of living crisis. It captures a range of personal and economic characteristics as well as including derived variables related to the Scottish Government’s priority families. Data are weighted to be representative of Scotland by age, gender, region, ethnicity and social grade.&lt;/p&gt;
DOI: 10.5284/1129896
title: Digital Archive from an Evaluation at Lydiate Lane, Thornton, Merseyside, June 2022

description: This collection consists of images, GIS and site record data from an archaeological evaluation by Allen Archaeology Limited. Work occurred on land north of Lydiate Lane, Thornton, Merseyside, June 2022. The mitigation works comprised three sections (evaluation trenches) excavated over former boundary ditches. Only the ditch exposed within Section 2 contained finds. These were of a modern date. Also exposed within the mitigation areas were extraction pits which would later become ponds.
DOI: 10.15468/dl.sff8rk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clarias gariepinus (Burchell, 1822)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((54.0145 -15.8532,54.1138 -16.1504,54.9312 -16.1504,55.0218 -15.961,54.8989 -15.5532,54.5521 -15.3811,54.2381 -15.4633,54.0145 -15.8532))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005173-250525065834625/datasets/export for details.
DOI: 10.60875/66ra-aa70
title: Brotherton Collection’s Bradford Textiles Business Records

description: Data export from the University of Leeds, Brotherton Special Collections cataloguing system, in an archival cataloguing format. 124 records, a sub-set of the catalogue relating to a search of the online catalogue by Arran Rees. The search was on Bradford as a keyword and the records are mainly from the business archive collection, with two additional collections related to individuals (mostly to do with medicine and anthrax specifically). Original file is an xls file at 89.9kb.
DOI: 10.3535/0e6-tmf-p7j
title: Dentostomina enoplostoma (d'Orbigny, 1839)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ds6-9ys-2d4
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lcw-m2z-961
title: †Nummulites javanus Verbeek, 1891

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/se7-z6h-65k
title: Trifarina bella (Phleger & Parker, 1951)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e0y-l5y-6d9
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jl9-y1e-j2a
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/n13-g80-9xy
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8rk-w4r-v4t
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7gv-gwk-pwj
title: Bolivina vadescens Cushman, 1933

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vpe-511-2ez
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2q3-32j-mj9
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yyz-s3y-ly8
title: Pseudothurmannia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/77b-5n7-d57
title: Neolissoceras

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/n9h-2yh-sp4
title: Teschenites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nk5-psp-6gx
title: †Metalegoceras sundaicum (Haniel, 1915)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sfj-r9w-q64
title: Dendritina d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/x5t-gm1-cw1
title: Amphicoryna rugosa (d'Orbigny, 1839)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.vp3ew6
title: Occurrence Download

description: A dataset containing 1583 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pheidole megacephala",
 "Country is Egypt",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1583 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022596-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/2pz-b8g-nk8
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8zt-2lc-xmc
title: Duvalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/799-f8q-6nb
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9wg-67f-1et
title: †Metalegoceras sundaicum (Haniel, 1915)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1hb-wta-clm
title: Globigerinoides ruber (d'Orbigny, 1839)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/45g-1wb-5fr
title: Lenticulina Lamarck, 1804

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rcg-k54-edf
title: †Stacheoceras hanieli Schindewolf, 1931

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/krf-azj-ekc
title: Archaias angulatus (Fichtel & Moll, 1798)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lsr-vm3-tmd
title: Globorotalia tumida (Brady, 1877)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0qf-h93-srh
title: †Micropneumatocythere Bate, 1963

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lqk-ms9-gnd
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wmh-b3v-sl1
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9h2-x2l-mvx
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/l3w-82y-pkm
title: Calcarina mayori Cushman, 1924

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/610-bpk-0vd
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/y2b-dz1-l52
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/br7-jjg-dkx
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e07-r9k-lb6
title: Peneroplis planatus (Fichtel & Moll, 1798)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gv8-c86-epk
title: Polymorphina d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hsc-w8l-7lr
title: Calcarina mayori Cushman, 1924

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wef-mwn-41h
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bjd-06k-nel
title: Pseudothurmannia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fbj-1wk-d3m
title: †Lophocythere (Lophocythere) Sylvester-bradley, 1948

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.nrjwn8
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ABZ3033"
 ]
}

 The dataset includes 19 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035629-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gpfzu4
title: Occurrence Download

description: A dataset containing 188138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Allium ursinum",
 "Year 1957-2022"
 ]
}

 The dataset includes 188138 records from 866 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035610-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14458/utcc.the.2010.29
title: การศึกษาอัตราผลตอบแทน ความเสี่ยงและผลการดำเนินงานของกองทุนรวม

description: การศึกษาครั้งนี้มีวัตถุประสงค์เพื่อศึกษาอัตราผลตอบแทน ความเสี่ยง และผลการดำเนินงานของกองทุนรวม เพื่อนำเสนอข้อมูลต่อผู้ถือหน่วยลงทุน โดยศึกษาข้อมูลทุติภูมิที่รวบรวมจากหน่วยงานที่เกี่ยวข้อง ตั้งแต่ เดือนมกราคม พ.ศ. 2550 ถึง เดือนธันวาคม พ.ศ. 2552และทำการเลือกกองทุนที่มีนโยบายการลงทุนในตราสารหนี้ และใช้ตัวชี้วัดประเภทเดียวกันคืออัตราดอกเบี้ยเงินฝากประจำ ระยะเวลา 1 ปี ประเภทบุคคลธรรมดาวงเงิน 1 ล้านบาท ของธนาคารพาณิชย์ 3 แห่ง คือ ธนาคารกรุงเทพ ธนาคารกสิกรไทย และธนาคารไทยพาณิชย์จากการศึกษาพบว่าอัตราผลตอบแทนจากการลงทุนกองทุนเปิดที่มีนโยบายการลงทุนในตราสารหนี้ กองทุนเปิดธนชาติตราสารหนี้เพื่อการเลี้ยงชีพ (NFRMF) ให้อัตราผลตอบแทนสูงสุดเท่ากับร้อยละ 0.363822 และในขณะเดียวกันเป็นกองทุนที่มีความเสี่ยงสูงสุดเช่นกัน โดยมีค่าส่วนเบี่ยงเบนมาตรฐานเท่ากับร้อยละ 0.027994 เมื่อนำมาศึกษาถึงความเสี่ยงต่อผลตอบแทนหนึ่งหน่วยด้วยการหาค่าสัมประสิทธิ์การแปรผัน มีค่าความเสี่ยงต่อผลตอบแทนหนึ่งหน่วยสูงสุดและอัตราผลตอบแทนมีความสัมพันธ์ในทิศทางเดียวกันกับตลาด และมีผลการดำเนินงานในทิศทางเดียวกันกับการให้อัตราผลตอบแทน โดยศึกษาตามมาตรวัดของ Jensen เท่ากับ 2.015590ค่าตามมาตรวัดของ Treynor เท่ากับ 0.019317 และค่าตามมาตรวัดของ Sharpe เท่ากับ6.927289 ดังนั้นจากผลการศึกษาสามารถสรุปได้ว่ากองทุนที่ให้ผลตอบแทนสูงก็จะมีความเสี่ยงสูงเช่นกัน ซึ่งมีความสัมพันธ์เป็นไปในทิศทางเดียวกัน ทำให้ผู้ลงทุนควรศึกษาข้อมูลเกี่ยวกับอัตราผลตอบแทน ความเสี่ยง และผลการดำเนินงานของกองทุนรวมที่ต้องการลงทุนก่อนตัดสินใจลงทุน
DOI: 10.15468/dl.h72st5
title: Occurrence Download

description: A dataset containing 342814 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Veronica officinalis",
 "Year 1956-2022"
 ]
}

 The dataset includes 342814 records from 1481 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035615-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gxvp5v
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Epicauta Dejean, 1834"
 ]
}

 The dataset includes 36 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018520-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nvf7ps
title: Occurrence Download

description: A dataset containing 371 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "GadmGid is one of (USA.43_1, USA.10_1)",
 "Geometry POLYGON((-91.6598 23.27135,-75.26476 23.27135,-75.26476 37.8782,-91.6598 37.8782,-91.6598 23.27135))",
 "HasGeospatialIssue is false",
 "Month is one of (May, June, July, August)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Eptesicus fuscus (Palisot de Beauvois, 1796), Perimyotis subflavus (F.Cuvier, 1832), Myotis sodalis Miller & G.M.Allen, 1928, Myotis lucifugus (Le Conte, 1831), Myotis septentrionalis (Trouessart, 1897))"
 ]
}

 The dataset includes 371 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018521-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28941317
title: Data from: <b>Assessing benthos through predator stomach contents: spatiotemporal modeling of abundance and habitat use</b>

description: This dataset provides the the average mass of benthic prey (expressed as g prey / g predator) in stomach samples of groundfish predators from the eastern Bering Sea. Full details of the dataset are available in the below article. Reum et al. (2025). <b>Assessing benthos through predator stomach contents: spatiotemporal modeling of abundance and habitat use</b>. Ecography, doi: 10.1002/ecog.07723
DOI: 10.5281/zenodo.15352366
title: Old-growth beech forests in Germany as cool islands in a warming landscape

description:  plot-ID and coordinates of the 250 microclimate loggers used in the microclimate study
DOI: 10.5281/zenodo.15352367
title: Old-growth beech forests in Germany as cool islands in a warming landscape

description:  plot-ID and coordinates of the 250 microclimate loggers used in the microclimate study