Find research datasets worth reusing

opencc-by-4.0Feb 2011View details →

Fig. 3 in Preliminary Report On Mitochondrial Dna Variation In Macaca Fascicularis From Singapore

Fig. 3. Maximum parsimony trees for each of five mtDNA gene fragments including: A, cytochrome b; B, 12s rRNA; C, COI; D, COII; E, COIII. Bootstrap support values are presented at each node.

opencc-by-4.0Feb 2011View details →

Fig. 1 in Preliminary Report On Mitochondrial Dna Variation In Macaca Fascicularis From Singapore

Fig. 1. Map of sample locations within the Bukit Timah (BTNR) and Central Catchment (CCNR) Nature Reserves.

SSH CENTRE - Mini-reports : Focus groups on "Adaptation to Climate Change: support at least 150 European regions and communities to become climate resilient by 2030"

SSH CENTRE (Social Sciences and Humanities for Climate, Energy aNd Transport Research Excellence) is a Horizon Europe project, engaging directly with stakeholders across research, policy, and business (including citizens) to strengthen social innovation, SSH-STEM collaboration, transdisciplinary policy advice, inclusive engagement, and SSH communities across Europe, accelerating the EU's transition to carbon neutrality.  SSH CENTRE is based in a range of activities related to Open Science, inclusivity and diversity – especially with regards Southern and Eastern Europe and different career stages –  including: development of novel SSH-STEM collaborations to facilitate the delivery of the EU Green Deal; SSH knowledge brokerage to support regions in transition; and the effective design of strategies for citizen engagement in EU R&I activities. Outputs include action-led agendas and building stakeholder synergies through regular Policy Insight events.This is captured in a high-profile virtual SSH CENTRE generating and sharing best practice for SSH policy advice, overcoming fragmentation to accelerate the EU's journey to a sustainable future.The aim of the focus groups was to gather citizen's perspectives, their hopes, concerns and ideas related to the Horizon Mission of Adaptation to Climate Change: support at least 150 European regions and communities to become climate resilient by 2030. The focus group discussion topics while remaining close to the Mission, avoid specific technical references to allow citizens to contribute based on their differing levels of understanding. As part of the SSH CENTRE project, in total, four focus group series will be conducted relating to Adaptation to Climate Change; Restore our Ocean and Waters by 2030; 100 Climate-Neutral and Smart Cities by 2030; A Soil Deal for Europe.  Notes were taken during each focus groups and turned into mini-reports. These mini-reports sum up the essence of the discussion: the participants' main ideas and some interesting quotes.

Figures 16–18. Edessa leucogramma biology and natural history. 16 in First report of the stinkbug Edessa leucogramma (Perty) (Hemiptera: Heteroptera: Pentatomidae: Edessinae) attacking Handroanthus chrysanthus (Jacq.) S.O. Grose (Bignoniaceae), with descriptions of the adult and immatures and notes on associated fungi and protozoa

Figures 16–18. Edessa leucogramma biology and natural history. 16) Flagellate protozoa associated with E. leucogramma. a–c) Different types of flagellate protozoa found in the digestive tract (i.e., salivary glands and ventriculus) of E. leucogramma. Photographs at a magnification of 1000 times the actual size (1000×). 17) Illustration of the digestive system of E. leucogramma: (Amr.) rectal ampulla; (Ec.) esophagus; (Dgs.) salivary gland's duct; (Gacc.) accessory gland; (Ipos) hindgut; (Lan.) anterior lobule of the salivary gland; (Lpo.) posterior lobule of salivary gland; (Rec.) rectum; (Ven 1–4) ventriculus 1–4 (Tmal) Malpighian tubes (Amr) rectal ampulla. 18) Dead adult female of E. leucogramma, mummified presumably by the attack of an entomopathogenic fungus, insert (square, lower right) shows the sporangium and spores of the potential entomopathogenic fungus.

Figures 13–15. Edessa leucogramma biology and natural history. 13 in First report of the stinkbug Edessa leucogramma (Perty) (Hemiptera: Heteroptera: Pentatomidae: Edessinae) attacking Handroanthus chrysanthus (Jacq.) S.O. Grose (Bignoniaceae), with descriptions of the adult and immatures and notes on associated fungi and protozoa

Figures 13–15. Edessa leucogramma biology and natural history. 13) Reproductive system of the female of Edessa leucogramma. a) Photograph of female's reproductive system. b) Illustration of the female's reproductive system: (Be.) spermatheca; (CaG.) genital? chamber; (Espa.) spermathecal bulb; (Fl.) lateral filament; (Gop.) gonopore; (Lg.) ovarian ligament; (Oc.) common oviduct (Ola.) lateral oviduct; (Ov.) ovarium; (Ova.) ovarioles. c) Photograph of the spermatheca and associated parts. 14) Damage produced by the feeding of E. leucogramma on H. chrysanthus. 15) Dissection of the salivary glands of E. leucogramma (Organ where the live protozoa were found).

Figures 10–12 in First report of the stinkbug Edessa leucogramma (Perty) (Hemiptera: Heteroptera: Pentatomidae: Edessinae) attacking Handroanthus chrysanthus (Jacq.) S.O. Grose (Bignoniaceae), with descriptions of the adult and immatures and notes on associated fungi and protozoa

Figures 10–12. Adults of Edessa leucogramma. 10) Male reproductive system of Edessa leucogramma, aedeagus: a) photograph of the male aedeagus in ventral view, b) illustration of the male aedeagus in ventral view: (Ej.d.) ejaculatory duct, (Lm.f.) medial lobe of the phallus. 11) Dorsal habitus of the female. 12) Photograph of pygidium and external genitalia of the female: (VIII, IX, X) sternites 8, 9, and 10 respectively; (Sp7 and Sp8) spiracles 7 and 8.

Figures 1–3 in First report of the stinkbug Edessa leucogramma (Perty) (Hemiptera: Heteroptera: Pentatomidae: Edessinae) attacking Handroanthus chrysanthus (Jacq.) S.O. Grose (Bignoniaceae), with descriptions of the adult and immatures and notes on associated fungi and protozoa

Figures 1–3. Immature stages of Edessa leucogramma. 1) Eggs and oviposition of Edessa leucogramma. a) Number of eggs per clutch. b) Nymphs developed inside the egg. 2) First-instar nymphs of Edessa leucogramma. a) Newly emerged nymphs. b) Nymphs congregating around the egg clutches. c) Clustering nymphs showing dorsal-posterior orange spots on the abdomen. 3) Second-instar nymphs of Edessa leucogramma. a) Dorsal habitus. b) Ventral habitus.

Figures 4–6 in First report of the stinkbug Edessa leucogramma (Perty) (Hemiptera: Heteroptera: Pentatomidae: Edessinae) attacking Handroanthus chrysanthus (Jacq.) S.O. Grose (Bignoniaceae), with descriptions of the adult and immatures and notes on associated fungi and protozoa

Figures 4–6. Immature states of Edessa leucogramma. 4) Third-instar nymphs of Edessa leucogramma. a) Dorsal habitus. b) Ventral habitus. 5) Fourth-instar nymphs of Edessa leucogramma. a) Dorsal habitus. b) Ventral habitus. 6) Fifth-instar nymphs of Edessa leucogramma on host.

Figures 7–9 in First report of the stinkbug Edessa leucogramma (Perty) (Hemiptera: Heteroptera: Pentatomidae: Edessinae) attacking Handroanthus chrysanthus (Jacq.) S.O. Grose (Bignoniaceae), with descriptions of the adult and immatures and notes on associated fungi and protozoa

Figures 7–9. Adults of Edessa leucogramma. 7) Adult male of Edessa leucogramma. 8) Female external genitalia and sternites. 9) Internal reproductive system of the male. a) Dissected genitalia. b) Illustration of male genitalia: (Be.) ejaculatory bulb; (Dej.) ejaculatory duct; (Dr.) distal region; (GlsAc.) accessory glands; (Vd.) deferent ducts; (Tes.) testis exhibiting four testicular follicles; (Tues.) testicular follicle; (Pr.) proximal region.

opencc-by-4.0Oct 2023View details →

Uncertainties from the UNFCCC National Inventory Reports (submission 2017)

Summary: This data repository contains the uncertainties of the national greenhouse-gas inventories submitted to the United Nations Framework Convention on Climate Change (UNFCCC). We extracted the data from the National Inventory Reports (NIR) submitted in 2017 covering the emission from 2015. We use the data in our study on "Estimating the uncertainty of the greenhouse gas extensions in Multi-Regional Input-Output analysis" submitted to the Journal of Earth System Science Data (ESSD): <a href="https://essd.copernicus.org/preprints/essd-2023-473/">https://essd.copernicus.org/preprints/essd-2023-473/</a> Background: NIRs are only available in pdf-format which makes accessing them from computer impossible. Against this background, we extracted the uncertainty tables from the Annex of the NIR pdf documents in a semi-automated way using a set of Python and R scripts. To bring the uncertainty into a common format, manual data cleaning and adjustments were necessary due to different structuring and processing of uncertainty data by the parties.  Data:  We brought the data into the format provided in the IPCC 2006 guidelines (Volume 1, Chapter 3). The guidelines distinguish two approaches to uncertainty quantification, tier 1 based on analytical error propagation, and tier 2 based on Monte-Carlo simulations. For each, tier 1 and tier 2 uncertainties, the IPCC 2006 guidelines provide a distinct table template, a screenshot of which can be found in this repository under <a href="../api/records/10037714/draft/files/IPCC2006_table3-2/content">IPCC2006_table3-2</a> and <a href="../api/records/10037714/draft/files/IPCC2006_table3-3/content">IPCC2006_table3-3</a>. Accordingly we provide two different data sets:  <ul> <li><a href="../api/records/10037714/draft/files/tier1.csv/content">tier1.csv</a> containing the Tier 1 uncertainties structured according to Table 3.2 of the IPCC 2006 guidelines (see <a href="../api/records/10037714/draft/files/IPCC2006_table3-2/content">IPCC2006_table3-2</a>)</li> <li><a href="../api/records/10037714/draft/files/tier2.csv/content">tier2.csv </a>containing the Tier 2 uncertainties structured according to Table 3.2 of the IPCC 2006 guidelines (see <a href="../api/records/10037714/draft/files/IPCC2006_table3-3/content">IPCC2006_table3-3</a>)</li> </ul> Compared to the table templates from the IPCC 2006 guidelines we added three identifying columns to each dataset:  <ul> <li>party: Name of the party</li> <li>year: Inventory year (2015 for all items)</li> <li>LULUCF: if emissions from Land use, land-use change, and forestry (LULUCF) are included (incl) or excluded (excl) in the inventory. Background: parties often publish two versions of the uncertainty table: One including emissions from Land use, land-use change, and forestry (LULUCF), one excluding.</li> </ul> Moreover, we split the column A into two columns category and classification and renamed the original column A  into A_raw.

CLaMS results used for age of air analysis in the report of assessment of the ESA Earth Explorer candidate mission CAIRT

Results of the Chemical Lagrangian Model of the Stratosphere (CLaMS) used for age of air analysis in the report of assessment of the ESA Earth Explorer candidate mission CAIRT. Days of results: 2011-01-01, 2011-04-01, 2011-07-01, 2011-10-01 and 2019-09-23. Included trace gases: SF6, CFC-11, CFC-12, HCFC-22, N2O and CH4. The results also include the clock tracer BA, which can be converted into the precise mean age of or air of the model environment with the attached python script 'AOA2age_years.py'.

opencc-by-4.0Sep 2022View details →

BIO4AFRICA_Report on Inclusive and sustainable bio-based business models for rural Africa_D5.2_30/09/2022_v1.0

This dataset constitutes Deliverable D5.2 Report on the 'Inclusive and sustainable bio-based business models for rural Africa', which has been the result of Task 5.2 of the BIO4AFRICA H2020 project. The deliverable aims at co-designing the inclusive and sustainable business models for the bio-based technologies transferred and adapted to each pilot case of the project bio-based products in Uganda, Ghana, Cote D'Ivoire, and Senegal.

LoGov Poland Workshop Report n°2

The workshop has been realised in the framework of the H2020-MSCA-RISE-2018 project "LoGov - Local Government and the Changing Urban-Rural Interplay" as part of the implementation phase of the project. The workshops have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on Poland. To receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.

Data for Tekran Model 3425 performance evaluation report for elemental mercury

During the SI-Hg performance evaluation of elemental mercury gas generators on the market three generators were tested, e.g., PSA 10.536 elemental Hg generator, bell-jar and Tekran Model 3425. Key characteristics were determined e.g.; the stabilisation period, short-term drift, precision, i.e., reproducibility and repeatability of the concentration generated, linearity, bias, sensitivity to sample gas pressure, sensitivity to surrounding temperature and sensitivity to electrical voltage. All three generators could be tested according to the calibration protocol developed within the project. The results obtained with the different gas generator clearly shows the importance of a metrological calibration. All three candidate generators show a different bias for the setpoint compared to the calibrated output. The data obtained during the performance evaluation of the Tekran Model 3425 is published in this repository. The files of the following experiments can be found here:<ul><li>m1<ul><li>Calibration Tekran mercury gas generator m1 20230612</li><li>Calibration_Tekran_m1</li></ul></li><li>m2<ul><li>Calibration Tekran mercury gas generator m2 20230619</li><li>Calibration_Tekran_m2</li></ul></li><li>m3<ul><li>Calibration Tekran mercury gas generator m3 20230626</li><li>Calibration_Tekran_m3</li></ul></li><li>m4<ul><li>Calibration Tekran mercury gas generator m4 20230629</li><li>Calibration_Tekran_m4</li></ul></li><li>short-term drift<ul><li>m2<ul><li>Calibration Tekran mercury gas generator short term drift m2</li><li>Tekran_Short_Term_M2</li></ul></li><li>m3<ul><li>Calibration Tekran mercury gas generator short term drift m3</li><li>Tekran_Short_Term_M3</li></ul></li><li>m4<ul><li>Calibration Tekran mercury gas generator short term drift m4</li><li>Tekran_Short_Term_M4</li></ul></li><li>m5<ul><li>Calibration Tekran mercury gas generator short term drift m5</li><li>Tekran_Short_Term_M5</li></ul></li></ul></li><li>stability<ul><li>Calibration Tekran mercury gas generator 20230609 stability</li></ul></li></ul>

Data for SI-Hg D2 validation report for the calibration of elemental mercury gas generators including information on repeatability, reproducibility and uncertainty evaluation at emission and ambient levels extended to the sub ng/m3 level

In deliverable 2 of the SI-Hg project the first validation results of the SI-Hg calibration protocol are reported. Within the SI-Hg project a protocol for the metrological calibration of elemental mercury gas generators used in the field was developed. For the validation the output of two different mercury gas generators was calibrated according to the protocol. As metrological reference standard the primary mercury gas standard from the Van Swinden Laboratory (VSL) was used. The measurements described in the protocol could be performed during the validation and the data was processed using a script to determine the output of the candidate generator and the uncertainty of the mercury concentration. Based on the validation measurements and data processing several improvements for the calibration protocol were identified and were used to improve the calibration protocol. In this repository data obtained during the validation is published. The files of the following comparisons between reference generator and candidate generator can be found in this repository:<ul><li>VSL vs VSL<ul><li>m1<ul><li>09022022 calibration mercury gas generator VSL vs VSL m1</li><li>VSL_vs_VSL_m1</li></ul></li><li>m2 <ul><li>05072022 calibration mercury gas generator VSL vs VSL m2</li><li>VSL_vs_VSL_m2</li></ul></li><li>m3<ul><li>07072022 calibration mercury gas generator VSL vs VSL m3</li><li>VSL_vs_VSL_m3</li></ul></li></ul></li><li>VSL vs PSA before modification<ul><li>m1<ul><li>15032022 calibration mercury gas generator VSL vs PSA fixed m1</li><li>single_point_VSL_vs_PSA_fixed_m1_4</li><li>single_point_VSL_vs_PSA_fixed_m1_6</li><li>single_point_VSL_vs_PSA_fixed_m1_8</li><li>single_point_VSL_vs_PSA_fixed_m1_12</li></ul></li><li>m2<ul><li>28032022 calibration mercury gas generator VSL vs PSA fixed m2</li><li>single_point_VSL_vs_PSA_fixed_m2_4</li><li>single_point_VSL_vs_PSA_fixed_m2_6</li><li>single_point_VSL_vs_PSA_fixed_m2_8</li><li>single_point_VSL_vs_PSA_fixed_m2_12</li></ul></li><li>m3 <ul><li>06042022 calibration mercury gas generator VSL vs PSA fixed m3</li><li>single_point_VSL_vs_PSA_fixed_m3_4</li><li>single_point_VSL_vs_PSA_fixed_m3_6</li><li>single_point_VSL_vs_PSA_fixed_m3_8</li><li>single_point_VSL_vs_PSA_fixed_m3_12</li></ul></li><li>m4 <ul><li>12042022 calibration mercury gas generator VSL vs PSA fixed m4</li><li>single_point_VSL_vs_PSA_fixed_m4_4</li><li>single_point_VSL_vs_PSA_fixed_m4_6</li><li>single_point_VSL_vs_PSA_fixed_m4_8</li><li>single_point_VSL_vs_PSA_fixed_m4_12</li></ul></li><li>less tubing <ul><li>14042022 calibration mercury gas generator VSL vs PSA fixed less tubing</li><li>single_point_VSL_vs_PSA_fixed_less_tubing</li></ul></li><li>less tubing and air as complementary gas <ul><li>19042022 calibration mercury gas generator VSL vs PSA fixed less tubing in air</li><li>single_point_VSL_vs_PSA_fixed_less_tubing_air</li></ul></li></ul></li><li>VSL vs PSA after modification<ul><li>m1 air as complementary gas <ul><li>Calibration PSA fixed mercury gas generator air m1 20230324</li><li>PSA_fixed_air_m1_9</li><li>PSA_fixed_air_m1_11</li><li>PSA_fixed_air_m1_14</li></ul></li><li>m2 air as complementary gas <ul><li>Calibration PSA fixed mercury gas generator air m2 20230327</li><li>PSA_fixed_air_m2_9</li><li>PSA_fixed_air_m2_11</li><li>PSA_fixed_air_m2_14</li></ul></li><li>m3 air as complementary gas <ul><li>Calibration PSA fixed mercury gas generator air m3 20230329</li><li>PSA_fixed_air_m3_9</li><li>PSA_fixed_air_m3_11</li><li>PSA_fixed_air_m3_14</li></ul></li><li>m4 air as complementary gas <ul><li>Calibration PSA fixed mercury gas generator air m4 20230907</li><li>PSA_fixed_air_m4_9</li><li>PSA_fixed_air_m4_11</li><li>PSA_fixed_air_m4_14</li></ul></li><li>m5 air as complemantary gas <ul><li>Calibration PSA fixed mercury gas generator air m5 20230911</li><li>PSA_fixed_air_m5_9</li><li>PSA_fixed_air_m5_11</li><li>PSA_fixed_air_m5_14</li></ul></li><li>m1 nitrogen (N2) as complementary gas<ul><li>Calibration PSA fixed mercury gas generator nitrogen m1 20230330</li><li>PSA_fixed_N2_m1_9</li><li>PSA_fixed_N2_m1_11</li><li>PSA_fixed_N2_m1_14</li></ul></li><li>m2 N2 as complementary gas <ul><li>Calibration PSA fixed mercury gas generator nitrogen m2 20230331</li><li>PSA_fixed_N2_m2_9</li><li>PSA_fixed_N2_m2_11</li><li>PSA_fixed_N2_m2_14</li></ul></li><li>m3 N2 as complementary gas <ul><li>Calibration PSA fixed mercury gas generator nitrogen m3 20230405</li><li>PSA_fixed_N2_m3_9</li><li>PSA_fixed_N2_m3_11</li><li>PSA_fixed_N2_m3_14</li></ul></li><li>measurement at TUV<ul><li>PSA_Fixed_at_TUV</li></ul></li></ul></li></ul>

Data for PSA 10.536 Elemental Hg generator performance evaluation report

During the SI-Hg performance evaluation of elemental mercury gas generators on the market three generators were tested, e.g., PSA 10.536 elemental Hg generator, bell-jar and Tekran Model 3425. Key characteristics were determined e.g.; the stabilisation period, short-term drift, precision, i.e., reproducibility and repeatability of the concentration generated, linearity, bias, sensitivity to sample gas pressure, sensitivity to surrounding temperature and sensitivity to electrical voltage. All three generators could be tested according to the calibration protocol developed within the project. The results obtained with the different gas generator clearly shows the importance of a metrological calibration. All three candidate generators show a different bias for the setpoint compared to the calibrated output. The data obtained during the performance evaluation of the PSA 10.536 elemental Hg generator is published in this repository. The files of the following experiments can be found here:<ul><li>range1 m1<ul><li>Calibration_PSA_range1_m1_20221130</li><li>multi_point_calibration_PSA_range1_m1</li></ul></li><li>range1 m2<ul><li>Calibration_PSA_range1_m2_20221209</li><li>multi_point_calibration_PSA_range1_m2</li></ul></li><li>range1 m3<ul><li>Calibration_PSA_range1_m3_20221214</li><li>multi_point_calibration_PSA_range1_m3</li></ul></li><li>range1 m4<ul><li>Calibration_PSA_range1_m4_20230915</li><li>multi_point_calibration_PSA_range1_m4</li></ul></li><li>range1 m5<ul><li>Calibration_PSA_range1_m5_20230919</li><li>multi_point_calibration_PSA_range1_m5</li></ul></li><li>range2 m1<ul><li>Calibration_PSA_range2 m1 20221006</li><li>multi_point_calibration_PSA_range2_m1</li></ul></li><li>range2 m2<ul><li>Calibration_PSA_range2 m2 20221011</li><li>multi_point_calibration_PSA_range2_m2</li></ul></li><li>range2 m3<ul><li>Calibration_PSA_range2 m3 20221012</li><li>multi_point_calibration_PSA_range2_m3</li></ul></li><li>short-term drift<ul><li>m1<ul><li>Calibration mercury gas generator range1 short term drift 20221012 deel 1</li><li>PSA_short_term_drift_M1</li></ul></li><li>m2<ul><li>Calibration mercury gas generator range1 short term drift 20221012 deel 2</li><li>PSA_short_term_drift_M2</li></ul></li><li>m3<ul><li>Calibration mercury gas generator range1 short term drift 20221012 deel 3</li><li>PSA_short_term_drift_M3</li></ul></li><li>m4<ul><li>Calibration mercury gas generator range1 short term drift 20221012 deel 4</li><li>PSA_short_term_drift_M4</li></ul></li></ul></li><li>stability<ul><li>Calibration mercury gas generator range2 stability 20220811</li><li>Calibration mercury gas generator stability 20221018</li></ul></li></ul>

opencc-by-4.0Dec 2023View details →

Tables, figures, and country data complementing the European Union One Health Zoonoses 2022 Report

European Food Safety Authority; European Centre for Disease Prevention and ControlAll summary tables and figures produced for the European Union One Health 2022 Zoonoses Report are provided as archives containing Excel files for tables, and as PDF or PNG files for figures.All country data connected to this Report are published SEPARATELY on Knowledge Junction - see related identifiers. This is because DATA OWNERSHIP for country data stays with the organisation(s) of the country submitting the data - for further reference see doi:10.2903/sp.efsa.2019.EN-1544.Supplementary datasets submitted are given in the related identifier section, however for clarity we give here the information on what they refer to:10.5281/zenodo.10255165 Foodborne outbreaks10.5281/zenodo.10256864 Disease status10.5281/zenodo.10255061 Animal Population10.5281/zenodo.10246432 PrevalenceSample-based data submitted by specific countries10.5281/zenodo.10257184 Finland10.5281/zenodo.10257162 Croatia10.5281/zenodo.10257105 Norway10.5281/zenodo.10257034 Luxembourg10.5281/zenodo.10257142 United Kingdom (Northern Ireland)10.5281/zenodo.10257210 Ireland10.5281/zenodo.10257388 SwedenJournal article: 10.2903/j.efsa. 2023.8442 CitationEFSA (European Food Safety Authority) & ECDC (European Centre for Disease Prevention and Control). (2023). Tables, figures, and country data complementing the European Union One Health Zoonoses 2022 Report [Dataset]. <a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.5281%2Fzenodo.10057302&data=05%7C01%7C%7Cd53ce1fd0eeb4b027cb608dbf6528f55%7C406a174be31548bdaa0acdaddc44250b%7C1%7C0%7C638374606688640910%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=46n1ois6rCgqRamDnk4%2B42K2XGwwg1T1nvG5ezYqqyg%3D&reserved=0">https://doi.org/10.5281/zenodo.10057302</a>

opencc-by-4.0Dec 2014View details →

Fig. 2 in First Report of Colacium vesiculosum Ehrenberg 1853 (Euglenophyceae), as Epibiont on Planktonic Copepods (Crustacea, Copepoda), in a Brazilian Floodplain Lake

Fig. 2. Mean abundance of hosts and mean infestation prevalence on the total or on each live stage of the copepods. A represents those aspects of the epibiotic relationship on N. amazonicus and on B, those on T. minutus.

Reporting Database of the INCENTIVE project's monitoring and evaluation activities of the Citizen Science Hubs pilot operation (M16-M31)

The current excel file constitutes the INCENTIVE Reporting Database, meaning a repository of the data that were accumulated in WP4 (described within Deliverable 4.1). The results presented here are the main input for the elaboration of Deliverable 4.2 and Deliverable 4.3.