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7,742 results for “individuals”

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dryad36/100

Limiting scaring activities reduces economic costs associated with foraging barnacle geese: results from an individual-based model

<ol> <li>With increasing numbers of large grazing birds on agricultural grassland, conflict with farmers is rising. One management approach to alleviate conflict allows foraging on dedicated agricultural land (accommodation areas) and nature reserves, combined with scaring on remaining agricultural land. Here, we examine the cost-effectiveness of these measures by studying the influence on barnacle goose distribution and associated economic damage.</li> <li>We present an individual/agent-based model of barnacle geese (<em>Branta</em> <em>leucopsis</em>) foraging on grasslands in Fryslân, the Netherlands. The model is parameterized using field observations and GPS-tracks and allows simulation of management scenarios, differing in scaring probability and accommodation area size, with different potential management costs. </li> <li>Our model shows that, while yield loss decreases with higher scaring probabilities, costs of damage appraisal increase because geese graze on more fields. With small accommodation areas, achieving high scaring probabilities takes more effort and could result in goose population decline. Total management costs are lowest without scaring activity. </li> <li> <em>Synthesis and applications</em>: Considering costs of active scaring and the need to maintain the barnacle goose population in a favourable conservation status, our model suggests that the most cost-effective scenario is to prevent disturbance of geese. A high scaring probability could be beneficial if applied in small areas, for example around sensitive crops or airfields. Scaring in large areas could result in costs outweighing benefits and a declining barnacle goose population.</li> </ol>

opencc-zeroDec 2022View details →
zenodo36/100

Individual diet specialization in the spider Tidarren haemorrhoidale (Bertkau, 1880) (Theridiidae)

<p>Data on the article &quot;Individual diet specialization in the spider <em>Tidarren haemorrhoidale</em> (Bertkau, 1880) (Theridiidae)&quot;. First column&nbsp;presents spider identification (Spider_ID), second column is prey taxa (Prey_ID), and&nbsp;the third is prey length in mm (Prey_length). The abstract of the article is available below. To use the dataset, cite the article available on Ethology (<a href="https://onlinelibrary.wiley.com/journal/14390310">Ethology - Wiley Online Library</a>).<br> <br> Individual specialization (<em>IS</em>) in resource use is common within populations of several animal species because some individuals can be more efficient than others in obtaining specific food items. Spiders are usually classified as euryphagous predators, but broad diet of populations may result from many individuals specializing in capturing different types of prey. Empirical evidence supporting this pattern, however, is still scarce. In this study, we hypothesized that (1) the diet of individuals of <em>Tidarren haemorrhoidale </em>is more restricted than the population&rsquo;s diet, and (2) individual diet restrictions are not determined by the spatial distribution of prey types. We collected prey remains of 74 webs of females in a conservation area of the Atlantic Forest. Our results indicated that <em>T. haemorrhoidale </em>could be considered an euryphagous predator because its diet comprised Opiliones, Diplopoda and eight orders of insects. However, spiders exhibited moderate and high degrees of <em>IS</em> for prey size and taxa, respectively. There was no modularity for both prey attributes in the food web, but there was a medium nestedness. Most individuals captured ants, but additional prey taxa were of different orders. There was no correlation between the dissimilarity of prey taxa and the distances between the webs, suggesting that <em>IS</em> did not occur based on the spatial distribution of their potential prey. The diversity of prey defensive strategies may induce spiders to perform specific behavioral routines after prey interception. If this occurs, cognitive constraints may limit their ability to use different capture routines efficiently. Our study supports the predictions of individual niche specialization theory for a euryphagous spider species and highlights the potential of spiders as a study model to investigate the underlying mechanisms.</p>

opencc-by-4.0May 2023View details →
zenodo36/100

In situ ROV video of Santjordia pagesi second individual

<p>A second individual of <em>Santjordia pagesi</em>, observed by the ROV <em>Hyper-Dolphin</em> during Dive 84 on 10 March 2002 at a depth of 843 m (temperature 10.1˚C, salinity 34.35, dissolved oxygen 2.8 ml/L, Sigma T 26.43) within the Sumisu caldera (31˚28&rsquo;N 140˚04&rsquo;E) during a cruise by the R/V <em>Kaiyo</em> (KY02-03) to the Ogasawara Island Chain, south of the Japanese mainland. H264 codec transcode of the original ProRes codec video file HPD0084-20020310-105552.3670-SHHD-Front-1920x1080_HDCAM-1o4--NoImpose-Santjordia_pagesi-Dhugal_Lindsay-SEKIJUUJIKURAGE-843m-2ndspecimen-20020310T015552.3670Z.mov in the JAMSTEC High-quality Video Database, managed by Dhugal Lindsay.</p>

opencc-by-4.0May 2023View details →
zenodo36/100

Risk factors modifying familial aggregation for lung cancer in affected individuals

<p>Base de Datos</p>

opencc-by-4.0May 2023View details →
dryad36/100

Increased importance of cool-water fish at high latitudes emerges from individual level responses to warming

<ol> <li>High-latitude ecosystems are experiencing the most rapid warming on earth, expected to trigger a diverse array of ecological responses. Climate warming affects the ecophysiology of fish, and fish close to the cold end of their thermal distribution are expected to increase somatic growth from increased temperatures and a prolonged growth season, which in turn affects maturation schedules, reproduction and survival, boosting population growth. Accordingly, fish species living in ecosystems close to their northern range edge should increase in relative abundance and importance, and possibly displace cold-water adapted species. </li> <li>We aim to document if and how population-level effects of warming are mediated by individual-level responses to increased temperatures, shifts in community structure and composition in high-latitude ecosystems.</li> <li>We studied 11 cool-water adapted freshwater fish populations in communities dominated by cold-water-adapted species to investigate changes in the relative importance of cool-water fish during the last 30 years of rapid warming in high-latitude lakes. In addition, we studied the individual-level responses to warming to clarify the potential mechanisms underlying the population effects.</li> <li>Our long-term series (1991–2020) reveal a marked increase in numerical importance of the cool-water fish species, perch, in ten out of eleven populations, and in most fish communities the cool-water species is now dominant. Moreover, we show that climate warming affects population-level processes via direct and indirect temperature effects on the individuals. Specifically, the increase in abundance arises from increased recruitment, faster juvenile growth and ensuing earlier maturation, all boosted by climate warming.</li> <li>The speed and magnitude of the response to warming in these high-latitude fish communities strongly suggest that cold-water fish will be displaced by fish adapted to warmer water. Consequently, management should focus on climate adaptation limiting future introductions and invasions of cool-water fish and mitigating harvesting pressure on cold-water fish.</li> </ol>

opencc-zeroMay 2023View details →
zenodo36/100

Single-electron-charge transfer into putative Majorana and trivial modes in individual vortices

<p>Supporting data for Jian-Feng Ge, et al. &ldquo;Single-electron-charge transfer into putative Majorana and trivial modes in individual vortices&rdquo;.</p> <p>The following data files are used for the following figures.</p> <p>&nbsp;&nbsp; &nbsp;Fig. 1&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;a&nbsp;&nbsp; &nbsp;Illustration figure, no data used<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;b&nbsp;&nbsp; &nbsp;NbSe2_04_220202_0184.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;c&nbsp;&nbsp; &nbsp;FeTeSe_08_210604_0614.txt</p> <p>&nbsp;&nbsp; &nbsp;Fig. 2&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;a&nbsp;&nbsp; &nbsp;NbSe2_04_220202_0133_raw.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;b&nbsp;&nbsp; &nbsp;NbSe2_04_220202_dIdV_0033_0037_raw.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;c&nbsp;&nbsp; &nbsp;NbSe2_04_220202_0133_raw.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;d&nbsp;&nbsp; &nbsp;NbSe2_04_220202_0133_deconv.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;e&nbsp;&nbsp; &nbsp;NbSe2_04_220202_dIdV_0033_0037_deconv.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;f&nbsp;&nbsp; &nbsp;NbSe2_04_220202_0133_deconv.txt</p> <p>&nbsp;&nbsp; &nbsp;Fig. 3&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;a&nbsp;&nbsp; &nbsp;FeTeSe_08_210604_0188_raw.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;b&nbsp;&nbsp; &nbsp;FeTeSe_08_210604_dIdV_0121_0122_raw.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;c&nbsp;&nbsp; &nbsp;FeTeSe_08_210604_0188_raw.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;d&nbsp;&nbsp; &nbsp;FeTeSe_08_210604_0188_deconv.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;e&nbsp;&nbsp; &nbsp;FeTeSe_08_210604_dIdV_0121_0122_deconv.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;f&nbsp;&nbsp; &nbsp;FeTeSe_08_210604_0188_deconv.txt</p> <p>&nbsp;&nbsp; &nbsp;Fig. 4&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;a&nbsp;&nbsp; &nbsp;220210_NbSe2_04_2.3K_spectrum_06_08.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;b&nbsp;&nbsp; &nbsp;qeff_NbSe2.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;c&nbsp;&nbsp; &nbsp;210622_FeTeSe08_2.3K_spectrum_06_04.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;d&nbsp;&nbsp; &nbsp;qeff_FeTeSe.txt</p> <p>Supplementary Fig. 1&nbsp;&nbsp; &nbsp;a&nbsp;&nbsp; &nbsp;PbtipPb111.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;b&nbsp;&nbsp; &nbsp;PbtipAu111.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;c&nbsp;&nbsp; &nbsp;Pbtipfits.txt</p> <p>Supplementary Fig. 2&nbsp;&nbsp; &nbsp;a&nbsp;&nbsp; &nbsp;Illustration figure, no data used<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;b&nbsp;&nbsp; &nbsp;linecut_raw.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;c&nbsp;&nbsp; &nbsp;linecut_deconv.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;d&nbsp;&nbsp; &nbsp;peak_pos.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;e&nbsp;&nbsp; &nbsp;peak_amp.txt</p> <p>Supplementary Fig. 3&nbsp;&nbsp; &nbsp;a&nbsp;&nbsp; &nbsp;NbSe2_04_220202_0098_raw.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;b&nbsp;&nbsp; &nbsp;NbSe2_04_220202_0098_c_33_31_a_63_0_raw.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;c&nbsp;&nbsp; &nbsp;NbSe2_04_220202_0098_raw.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;d&nbsp;&nbsp; &nbsp;220210_NbSe2_04_2.3K_spectrum_04_03.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;e&nbsp;&nbsp; &nbsp;NbSe2_04_220202_0098_deconv.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;f&nbsp;&nbsp; &nbsp;NbSe2_04_220202_0098_c_33_31_a_63_0_deconv.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;g&nbsp;&nbsp; &nbsp;NbSe2_04_220202_0098_deconv.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;h&nbsp;&nbsp; &nbsp;220210_NbSe2_04_2.3K_spectrum_04_03_qeff.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;i&nbsp;&nbsp; &nbsp;NbSe2_04_220202_0172_raw.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;j&nbsp;&nbsp; &nbsp;NbSe2_04_220202_0098_c_33_35_a_0_63_raw.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;k&nbsp;&nbsp; &nbsp;NbSe2_04_220202_0172_raw.txt&nbsp;&nbsp; &nbsp;<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;l&nbsp;&nbsp; &nbsp;220210_NbSe2_04_2.3K_spectrum_10_11.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;m&nbsp;&nbsp; &nbsp;NbSe2_04_220202_0172_deconv.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;n&nbsp;&nbsp; &nbsp;NbSe2_04_220202_0098_c_33_35_a_0_63_deconv.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;o&nbsp;&nbsp; &nbsp;NbSe2_04_220202_0172_deconv.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;p&nbsp;&nbsp; &nbsp;220210_NbSe2_04_2.3K_spectrum_10_11_qeff.txt</p> <p>Supplementary Fig. 4&nbsp;&nbsp; &nbsp;a&nbsp;&nbsp; &nbsp;FeTeSe_08_210604_0355_raw.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;b&nbsp;&nbsp; &nbsp;FeTeSe_08_210604_0355_c_26_30_a_63_0_raw.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;c&nbsp;&nbsp; &nbsp;FeTeSe_08_210604_0355_raw.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;d&nbsp;&nbsp; &nbsp;210622_FeTeSe08_2.3K_spectrum_15_14.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;e&nbsp;&nbsp; &nbsp;FeTeSe_08_210604_0355_deconv.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;f&nbsp;&nbsp; &nbsp;FeTeSe_08_210604_0355_c_26_30_a_63_0_deconv.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;g&nbsp;&nbsp; &nbsp;FeTeSe_08_210604_0355_deconv.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;h&nbsp;&nbsp; &nbsp;210622_FeTeSe08_2.3K_spectrum_15_14_qeff.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;i&nbsp;&nbsp; &nbsp;FeTeSe_08_210604_0463_raw.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;j&nbsp;&nbsp; &nbsp;FeTeSe_08_210604_0463_c_26_27_a_0_0_raw.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;k&nbsp;&nbsp; &nbsp;FeTeSe_08_210604_0463_raw.txt&nbsp;&nbsp; &nbsp;<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;l&nbsp;&nbsp; &nbsp;210622_FeTeSe08_2.3K_spectrum_27_24.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;m&nbsp;&nbsp; &nbsp;FeTeSe_08_210604_0463_deconv.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;n&nbsp;&nbsp; &nbsp;FeTeSe_08_210604_0463_c_26_27_a_0_0_deconv.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;o&nbsp;&nbsp; &nbsp;FeTeSe_08_210604_0463_deconv.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;p&nbsp;&nbsp; &nbsp;210622_FeTeSe08_2.3K_spectrum_27_24_qeff.txt</p> <p>Supplementary Fig. 5&nbsp;&nbsp; &nbsp;a&nbsp;&nbsp; &nbsp;220210_NbSe2_04_2.3K_spectrum_06_08_qeff.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;b&nbsp;&nbsp; &nbsp;210622_FeTeSe08_2.3K_spectrum_06_04_qeff.txt</p> <p>Supplementary Fig. 6&nbsp;&nbsp; &nbsp;a&nbsp;&nbsp; &nbsp;FeSeTe_07_180716_0309_topo.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;b&nbsp;&nbsp; &nbsp;FeSeTe_07_180716_0309_ring.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;c&nbsp;&nbsp; &nbsp;FeTeSe_08_210604_0355_raw.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;d&nbsp;&nbsp; &nbsp;180809_FeSeTe7_ring_2.5MOhm_3K_map_04.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;e&nbsp;&nbsp; &nbsp;180907_FeSeTe7_Pbtip_10MOhm_3K_spectra_24.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;f&nbsp;&nbsp; &nbsp;180907_FeSeTe7_Pbtip_10MOhm_3K_spectra_24_qeff.txt<br> &nbsp;&nbsp; &nbsp;<br> Supplementary Fig. 7&nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp;qeff_vs_qpcontrib.py</p> <p>Supplementary Fig. 8&nbsp;&nbsp; &nbsp;a&nbsp;&nbsp; &nbsp;FeTeSe_10_211111_didv_FB.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;b&nbsp;&nbsp; &nbsp;FeTeSe_10_211111_didv_FB_ratio_sim.txt</p> <p>Supplementary Fig. 9&nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp;220810_NbSe2_06_2.3K_spectrum_01_19.txt</p> <p>Supplementary Fig. 10&nbsp;&nbsp; &nbsp;a&nbsp;&nbsp; &nbsp;NbSe2_05_220503_dIdV_0017.txt<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;b&nbsp;&nbsp; &nbsp;220510_NbSe2_05_2.3K_spectrum_01.txt</p>

opencc-by-4.0May 2023View details →
zenodo36/100

Input and output data for the paper "Evaluating the German PV auction program: The secrets of individual bids revealed"

<p>Batz Li&ntilde;eiro, T., M&uuml;sgens, F., (2021). Energy Policy</p> <p><a href="http://doi.org/10.1016/j.enpol.2021.112618">doi.org/10.1016/j.enpol.2021.112618</a></p> <p>ABSTRACT</p> <p>Auctions have become the primary instrument for promoting renewable energy around the world. However, the data published on such auctions are typically limited to aggregated information (e.g., total awarded capacity, average payments). These data constraints hinder the evaluation of realisation rates and other relevant auction dynamics. In this study, we present an algorithm to overcome these data limitations in German renewable energy auction programme by combining publicly available information from four different databases. We apply it to the German solar auction programme and evaluate auctions using quantitative methods. We calculate realisation rates and&mdash;using correlation and regression analysis&mdash;explore the impact of PV module prices, competition, and project and developer characteristics on project realisation and bid values. Our results confirm that the German auctions were effective. We also found that project realisation took, on average, 1.5 years (with 28% of projects finished late and incurring a financial penalty), nearly half of projects changed location before completion (again, incurring a financial penalty) and small and inexperienced developers could successfully participate in auctions.</p> <p>Description</p> <p>The data package offered in this publication comprises input, processing, and output files, accompanied by the corresponding R-codes used for data processing at different stages. Among the various data outputs, the &quot;Auctions&quot; sheet within the file &quot;2 Auction Realizations Solar-2&quot; holds particular significance for users. Within this sheet, users can identify the realized projects, their respective IDs, and the reported individual bid values. However, it is recommended to refer to the attached publication to gain a comprehensive understanding of the bid-value identification process.</p> <p>For users seeking to update the results, the input files can be easily updated by referring to partner publications that share the same file names. These partner publications include the <a href="https://zenodo.org/record/7945029">UnitRegister</a>, <a href="https://zenodo.org/record/8010410">PaymentRegister</a>, and <a href="https://zenodo.org/record/8013071">TariffRegister </a>datasets.</p>

opencc-by-4.0Jun 2023View details →
zenodo36/100

Input and output data for the paper "Evaluating the German onshore wind auction programme: An analysis based on individual bids"

<p>Batz Li&ntilde;eiro, T., M&uuml;sgens, F., (2023). Energy Policy</p> <p><a href="https://doi.org/10.1016/j.enpol.2022.113317">https://doi.org/10.1016/j.enpol.2022.113317</a></p> <p>ABSTRACT</p> <p>Auctions are a highly demanded policy instrument for the promotion of renewable energy sources. Their flexible structure makes them adaptable to country-specific conditions and needs. However, their success depends greatly on how those needs are operationalised in the design elements. Disaggregating data from the German onshore wind auction programme into individual projects, we evaluated the contribution of auctions to the achievement of their primary (deployment at competitive prices) and secondary (diversity) objectives and have highlighted design elements that affect the policy&#39;s success or failure. We have shown that, in the German case, the auction scheme is unable to promote wind deployment at competitive prices, and that the design elements used to promote the secondary objectives not only fall short at achieving their intended goals but create incentives for large actors to game the system.</p> <p>Description</p> <p>The data package offered in this publication comprises input, processing, and output files, accompanied by the corresponding R-codes used for data processing at different stages. Among the various data outputs, the &quot;Auctions&quot; sheet within the file &quot;3 Auction Realizations Onshore Wind&quot; holds particular significance for users. Within this sheet, users can identify the realized projects, their respective IDs, and the reported individual bid values (BV). However, it is recommended to refer to the attached publication to gain a comprehensive understanding of the bid-value identification process.</p> <p>For users seeking to update the results, the input files can be easily updated by referring to partner publications that share the same file names. These partner publications include the <a href="https://zenodo.org/record/7945029">UnitRegister</a>, <a href="https://zenodo.org/record/8010410">PaymentRegister</a>, and <a href="https://zenodo.org/record/8013071">TariffRegister </a>datasets.<br> &nbsp;</p>

opencc-by-4.0Jun 2023View details →
zenodo36/100

Individual .ttl files of three Waltheria samples

<p>Each file contains the ENPKG data (.ttl) of a given plant extract.</p>

opencc-by-4.0May 2023View details →
dryad36/100

Data from: Individual life histories: Neither slow nor fast, just diverse

<p><span>The slow-fast continuum is known to structure variation in life-history strategies across species. Within populations, it is also assumed to structure individual life histories, yet evidence of its existence remains unclear. We formally assessed the presence of a slow-fast continuum of life histories both within populations and across species using detailed individual-based data for 17 bird and mammal species with contrasting life histories. We estimated adult lifespan, age at first reproduction, breeding frequency and fecundity, and identified the main axes of variation using Principal Component Analyses. The slow-fast continuum was the main axis of life-history variation across species, but within populations individual variation did not follow the slow-fast continuum in any species. This suggests that individual life histories are neither slow nor fast, but rather follow an idiosyncratic pattern across species because of relative differences in the importance of processes such as stochasticity, density dependence, and variation in individual performance.</span></p>

opencc-zeroJun 2023View details →
zenodo36/100

Individual and collective school-students' self-efficacy on climate change. Raw data set.

<p>The dataset comprises 12 items on the topic of &quot;self-efficacy on climate change&quot; and additionally some items on person-related information. The items were developed with individual self-efficacy (8 items, iSE1 to iSE8) and collective self-efficacy (4 items, coSE1 to coSE4) in mind. The instruction was: &quot;How do you think about yourself? Please tick to what extent the following statements apply to you&quot; [translated from German]. A six-point Likert-type scale was used as response scale, headed with numbers from 1 to 6, only the ends of the response scale were verbally labelled (1 = &quot;strongly disagree&quot; to 6 = &quot;strongly agree&quot; [translated from German]). The items were used in German. The English translations were added to the dataset in square brackets. Data collection took place at German &quot;Gymnasien&quot; (equivalent to grammar schools) in 2022. The data set includes N = 163 school-students.</p>

opencc-by-4.0Jun 2023View details →
zenodo36/100

Individual .ttl files for plate Walteria indica samples v1.0.1

Individual .ttl files for plate Walteria indica samples processed using the ENPKG framework

opencc-zeroJun 2023View details →
zenodo36/100

Individual and collective university students' self-efficacy on climate change. Raw data set.

<p>The dataset comprises 12 items on the topic of &quot;self-efficacy on climate change&quot; and additionally some items on person-related information. The items were developed with individual self-efficacy (8 items, iSE1 to iSE8) and collective self-efficacy (4 items, coSE1 to coSE4) in mind. The instruction was: &quot;How do you think about yourself? Please tick to what extent the following statements apply to you&quot; [translated from German]. A six-point Likert-type scale was used as response scale, headed with numbers from 1 to 6, only the ends of the response scale were verbally labelled (1 = &quot;strongly disagree&quot; to 6 = &quot;strongly agree&quot; [translated from German]). The items were used in German. The English translations were added to the dataset in square brackets. Data collection took place at a German university in 2022. The data set includes N = 145 university students studying to become geography teachers.</p>

opencc-by-4.0Jun 2023View details →
zenodo36/100

Individual .ttl files for plate VGF159 samples v1.0.1

Individual .ttl files for plate VGF159 samples processed using the ENPKG framework

opencc-zeroJun 2023View details →
zenodo36/100

Individual .ttl files for plate VGF157 samples v1.0.1

Individual .ttl files for plate VGF157 samples processed using the ENPKG framework

opencc-zeroJun 2023View details →
zenodo36/100

Individual .ttl files for plate VGF158 samples v1.0.1

Individual .ttl files for plate VGF158 samples processed using the ENPKG framework

opencc-zeroJun 2023View details →
zenodo36/100

Individual .ttl files for plate VGF156 samples v1.0.1

Individual .ttl files for plate VGF156 samples processed using the ENPKG framework

opencc-zeroJun 2023View details →
zenodo36/100

Individual .ttl files for plate VGF156 samples v1.0.1

Individual .ttl files for plate VGF156 samples processed using the ENPKG framework

opencc-zeroJun 2023View details →
zenodo36/100

Individual .ttl files for plate VGF155 samples v1.0.1

Individual .ttl files for plate VGF155 samples processed using the ENPKG framework

opencc-zeroJun 2023View details →
zenodo36/100

Individual .ttl files for plate VGF154 samples v1.0.1

Individual .ttl files for plate VGF154 samples processed using the ENPKG framework

opencc-zeroJun 2023View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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