Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
36
datasets available to search
ShareScore release 0.9.0
Dataset results
36 results for “Chain Length”
Food-chain length in desert streams of central and southern Arizona, USA
## overview Food chain length (FCL) is a key measure of the vertical structure of food webs that determines energy flow through ecosystems, carbon exchange between freshwater ecosystems and the atmosphere, and rates of nutrient cycling. FCL also has a strong bearing on the biomass of green plants in ecosystems and hence on water quality in aquatic ecosystems. Broad-scale syntheses of controls on FCL in stream ecosystems indicate that FCL declines with discharge variation but, counter to theory, does not vary significantly with energy supply. The mechanisms linking discharge and energy to FCL are largely unresolved in streams. We propose that lack of a relationship between energy supply and FCL may be due to variation in efficiency of energy transfer caused by constraints of food quality, or to a temporal mismatch between measures of energy inputs and FCL. Alternatively, the effects of flow variation on FCL may simply be paramount to energy supply, but potential mechanisms linking flow to FCL remain untested. Regime shifts—punctuated change between strings of high- and low-flow events—may cause comprehensive faunal replacement across trophic levels and collapse of the vertical structure of food webs. FCL may change as a result of loss (or gain) of an apex predator, or as a result of changes in feeding relationships leading to apex predators that eat higher on the food chain. Finally, flow variation may indirectly influence FCL through inputs of limiting nutrients during floods. In desert streams, algae typically provide the primary source of energy, and algal production is limited by nitrogen (N). N loading from terrestrial ecosystems is strongly related to flow variation, particularly to the inter-flood interval (IFI) or duration of baseflow between floods. Long IFI leads to larger N pulses and potentially greater net ecosystem production (NEP), thereby providing an indirect effect of flow variation on FCL. Specific aims of the research include: 1) Quantify the effe
The Role of Alkyl Chain Length and Halide Counter Ion in Layered Dion-Jacobson Perovskites with Aromatic Spacers
<p>Structural, optoelectronic and supplementary characterization data for “The Role of Alkyl Chain Length and Halide Counter Ion in Layered Dion-Jacobson Perovskites with Aromatic Spacers”, doi.org/10.1021/acs.jpclett.1c02937.</p> <ul> <li>Figure 2.zip: <ul> <li>2a and 2b (XRD patterns) in *.csv files.</li> <li>2c and 2d raw and processed solid state NMR spectra of (PDEA)PbI4 and (PDEA)I2, comprising 207Pb, 207Pb->1H HETCOR. NMR data is given in the JCAMP-DX 6.0 format including acquisition and processing parameters. The TopSpin software is recommended as this was used to record the NMR data.</li> <li>2e-h GIWAXS images in *.tiff format</li> </ul> </li> <li>Figure 3.zip: <ul> <li>3a and 3c (UV-Vis absorption spectra) in *.csv format</li> <li>3b and 3d (PL emission) in *.xlsx data</li> </ul> </li> <li>Figure 4.zip: <ul> <li>Transient absorption spectroscopy data in *.xlsx format</li> </ul> </li> <li>Figure 5.zip: <ul> <li>5a-f (XRD patterns) in *.csv data</li> </ul> </li> </ul> <ul> <li>Figure S2.zip: <ul> <li>S2a-b (UV-Vis spectra) in *.csv data</li> <li>S2c-d (XRD patterns) in *.csv data</li> </ul> </li> <li>Figure S3.zip: <ul> <li>GIWAXS images in *.tiff format</li> </ul> </li> <li>Figure S4.zip: <ul> <li>S4 Raw and processed solid state NMR spectra of 1H->13C cross polarisation spectra. NMR data is given in the JCAMP-DX 6.0 format including acquisition and processing parameters. The TopSpin software is recommended as this was used to record the NMR data.</li> </ul> </li> <li>Figure S5-S6.zip: <ul> <li>Raw and processed solution NMR spectra of (PDEA)I2 and (PDEA)Br2 in deuterated DMSO, comprising 1H and 13C 1D and 2D HSQC/HMBC spectra. NMR data is given in the JCAMP-DX 6.0 format including acquisition and processing parameters. The TopSpin software is recommended as this was used to record the NMR data.</li> </ul> </li> <li>Figure S7.zip: <ul> <li>PL emission data in *.xlsx format</li> </ul> </li> <li>Figure S8.zip: <ul> <li>Transient absorption spectroscopy data in *.xlsx format</li> </ul> </li> <li>Figure S9.zip: <ul> <li>S9a-f optical absorption data in *.csv format</li> </ul> </li> <li>Figure S10.zip: <ul> <li>PL emission data in *.xlsx format</li> </ul> </li> <li>Figure S11.zip: <ul> <li>*.png image of contact angle measurements</li> </ul> </li> </ul>
Dataset of article: Synthesis of Dendritic ZSM‑5 Zeolite through Micellar Templating Controlled by the Amphiphilic Organosilane Chain Length
<p>Data used for preparation of the article : Synthesis of Dendritic ZSM‑5 Zeolite through Micellar Templating Controlled by the Amphiphilic Organosilane Chain Length</p> <p> Abstract of article: </p> <p>The synthesis of ZSM-5 zeolites by hydrothermal crystallization of protozeolitic nanounits functionalized with amphiphilic organosilanes of different chain length (Cn-N(CH3)2-(CH2)3-Si- (OCH3)3, n = 10, 14, 18 and 22) has been investigated. Well developed dendritic nanoarchitectures were achieved when using C14 and C18 organosilanes, exhibiting a radial and branched pattern of zeolitic nanounits aggregates. In contrast, although C10 and C22 organosilanes led to materials with hierarchical porosity, they lack of dendritic features. These differences have been linked to the formation of an amorphous mesophase at the gel preparation stage for the C14 and C18 samples, in which the surfactant micelles are covalently connected with the protozeolitic nanounits through siloxane bonds. The presence of the dendritic nanostructure positively impacts both the textural and catalytic properties of ZSM-5 zeolite. Thus, ZSM-5 (C14) and ZSM-5 (C18) samples exhibit the largest contribution of mesoporosity in terms of both surface area and pore volume. On the other hand, when tested as catalysts in the aldol condensation of furfural with cyclopentanone, which is an interesting reaction for the production of sustainable jet fuels, the highest catalytic activity is attained over the dendritic ZSM-5 materials due to their remarkable accessibility and balanced Brønsted/Lewis acidity.</p>
Supporting Information for "From Hofmeister to hydrotrope: Effect of anion hydrocarbon chain length on a polymer brush"
<p>This deposition contains the data and analysis (Jupyter notebooks) detailed in “From Hofmeister to hydrotrope: Effect of anion hydrocarbon chain length on a polymer brush”. All Jupyter notebooks have also been converted into PDF files for ease of viewing.</p> <p>All data and code (notebooks) required to reproduce the analysis can be found within the “supporting_data_analysis.zip” archive. This archive contains four sub-directories:</p> <ul> <li>Computional_data <ul> <li>Optimised geometry files (.xyz) for all short chain fatty acid (SCFA) anion-solvent and anion-NIPAM fragment structures.</li> <li>Summary of analysed data (“SAPT_computational_data.xlsx”) describing the different interaction energies between a SCFA anion-NIPAM fragment and anion-solvent: electrostatic, exchange, induction, dispersion and total interaction energy contributions.</li> </ul> </li> <li>Ellipsometry <ul> <li>Data directory containing all raw ellipsometry data.</li> <li>“refellips_Dry.ipynb” and “refellips_Spectroscopic_SL.ipynb” notebooks to reproduce the analysis of a dry (solid-air) and hydrated (solid-liquid) polymer brush, respectively. </li> <li>A spatial map of the polymer brush used for spectroscopic ellipsometry data analysis: “PNIPAM_brush_spatial_map.png”.</li> <li>“Ellipsometry_sigmoid_fitting.ipynb” notebook and “Water_data.csv” file for the demonstration of the extraction of a thermotransition temperature from an ellipsometry dataset. Relevant plotting tools can be found in the <a href="https://github.com/refnx/refellips">refellips repo</a>.</li> </ul> </li> <li>Neutron_reflectometry <ul> <li>Data directory containing all relevant reduced reflectivity profiles from the Platypus reflectometry at ANSTO.</li> <li>“refnx_dry.ipynb”, “refnx_D2O.ipynb” and “refnx_SCFA_electrolytes.ipynb notebooks required to reproduce the analysis pertaining to a dry, polymer brush and a brush exposed to pure D<sub>2</sub>O and various SCFA electrolytes, respectively.</li> <li>Additional code required to model the hydrated polymer brush and various plotting tools can be in the <a href="https://github.com/igresh/refnxtoolbox">refnxtoolbox repo</a>.</li> </ul> </li> <li>QCMD_data <ul> <li>Data directory containing all processed QCM-D data (.csv)</li> </ul> </li> </ul>
Рис. 7–9. Coelorinchus idiolepis sp. nov. (7 — гоΛотип, 8 — паратип) и C. anisacanthus, гоΛотип, 81,5 мм HL (9), гоΛова, виΔ сбоку. Обозначения: oo — Δиаметр гΛаза, po — посторбитаΛьная ΔΛина. Масштаб: 7 — 20 мм; 8, 9 — 10 мм Figs. 7–9. Coelorinchus idiolepis sp. nov. (7 — holotype, 8 — paratype) and C. anisacanthus, holotype, 81.5 mm HL (9), head, lateral view. Symbols: oo — diameter of eye, po — postorbital length. Scale bars: 7 — 20 mm; 8, 9 — 10 mm in Coelorinchus From The Hawaiian-Emperor Seamount Chain (The Pacific Ocean) (Teleostei, Gadiformes, Macrouridae)
Рис. 7–9. Coelorinchus idiolepis sp. nov. (7 — гоΛотип, 8 — паратип) и C. anisacanthus, гоΛотип, 81,5 мм HL (9), гоΛова, виΔ сбоку. Обозначения: oo — Δиаметр гΛаза, po — посторбитаΛьная ΔΛина. Масштаб: 7 — 20 мм; 8, 9 — 10 мм Figs. 7–9. Coelorinchus idiolepis sp. nov. (7 — holotype, 8 — paratype) and C. anisacanthus, holotype, 81.5 mm HL (9), head, lateral view. Symbols: oo — diameter of eye, po — postorbital length. Scale bars: 7 — 20 mm; 8, 9 — 10 mm
Figure 9. Experimental Page Rank dependency on Markov Chain length with balanced distribution-Study of a Random Navigation on the Web Using Software Simulation
<p>This paper explored different implementation choices for analyzing the most important<br> parameters about a web. Many researchers explored the use of new search engines for studying the<br> evolution of the web (Ntoulas, Cho and Olston, 2004). Another important research is realized about<br> the Link Structure Graph (LSG). The LSG captures a complete hyperlink structure from the web<br> and models link associations reflected in the page layout (Rodrigues, Milic-Frayling and Fortuna,<br> 2007). For further works ideas like extrapolation methods for accelerating page rank calculation can<br> be developed (Kamvar et al., 2003).</p>
Figure 7. Experimental Page Rank dependency on Markov Chain length-Study of a Random Navigation on the Web Using Software Simulation
<p>The next diagram proves that the values for Experimental Page Rank depend on the length<br> of the Markov Chain, while Algorithmic Page Rank remains constant.</p>
Progeny Project DFT and TD-DFT data for MW1 and its variants with different side chain length
<p>DFT and TD-DFT data, i.e. geometries, electronic excited states for the MW1 and its variants in vacuum with different length of side chains.</p> <p>See Readme.txt for more details.</p>
X-ray scattering datasets associated with the publication "Side chain length dependent dynamics and conductivity in self assembled ion channels"
<p>X-ray scattering datasets for samples described in the 2022 publication "Side chain length dependent dynamics and conductivity in self assembled ion channels". This dataset includes both raw and processed X-ray scattering data for samples ILC8, ILC10, ILC12, ILC14 and ILC16 alongside background measurement files (BKG).</p>
Forest conversion to oil palm compresses food chain length in tropical streams
<b>Description: </b><p>Fish stable isotope data associated with the paper in Ecology. This includes bulk and compound specific stable isotope raw data for fish at 17 streams over 2 sampling years, across a land use gradient</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/57"><b>Composition and abundance of tropical freshwater vertebrate communities across a land use gradient</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>Sime Darby Foundation (NA, NA)</li><li>Royal Geographic Society (RGS-IBG , PRA 01/16)</li><li>Royal Society (NA, NAF\R2\180791)</li><li>Singapore Ministry of Education (AcRF Tier 1 grant, R-154-000-A32-114)</li><li>Landmark Trust (Landmark Trust Futures Scheme , NA)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3974971">here</a></p><p><b>Files: </b>This consists of 1 file: Fish_SIA_data2.xlsx</p><p><b>Fish_SIA_data2.xlsx</b></p><p>This file contains dataset metadata and 1 data tables:</p><ol><li><p><b>SIA_data</b> (described in worksheet Data)</p><p>Description: raw stable isotope fish data </p><p>Number of fields: 13</p><p>Number of data rows: 202</p><p>Fields: </p><ul><li><b>Date</b>: Date of sampling at each stream (Field type: date)</li><li><b>Stream</b>: Which stream was sampled (Field type: location)</li><li><b>Landuse</b>: Landuse of the stream sampled (Field type: categorical)</li><li><b>Species</b>: Species sampled (Field type: taxa)</li><li><b>SIA</b>: Was bulk or compound specific SIA used (Field type: categorical)</li><li><b>d15N_GLU</b>: d15N value of glutamic acid (Field type: numeric)</li><li><b>d15N_PHE</b>: d15N value of phenylalanine (Field type: numeric)</li><li><b>d13C_ILE</b>: d13C value of Isoleucine (Field type: numeric)</li><li><b>d13C_LEU</b>: d13C value of Leucine (Field type: numeric)</li><li><b>d13C_PHE</b>: d13C value of phenylalanine (Field type: numeric)</li><li><b>d13C_VAL</b>: d13C value of Valine (Field type: numeric)</li><li><b>D15N</b>: D15N (Field type: numeric)</li><li><b>D13C</b>: D13C (Field type: numeric)</li></ul></li></ol><p><b>Date range: </b>2015-03-01 to 2017-05-30</p><p><b>Latitudinal extent: </b>4.5770 to 4.9613</p><p><b>Longitudinal extent: </b>117.4441 to 117.8053</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Animalia <br> -  -  Chordata <br> -  -  -  Actinopterygii <br> -  -  -  -  Cypriniformes <br> -  -  -  -  -  Cyprinidae <br> -  -  -  -  -  -  <i>Luciosoma</i> <br> -  -  -  -  -  -  -  <i>Luciosoma pelligrinii</i> <br> -  -  -  -  -  -  <i>Rasbora</i> <br> -  -  -  -  -  -  -  <i>Rasbora pycnopeza</i> <br> -  -  -  -  -  -  <i>Nematabramis</i> <br> -  -  -  -  -  -  -  <i>Nematabramis everetti</i> <br> -  -  -  -  -  -  <i>Hampala</i> <br> -  -  -  -  -  -  -  <i>Hampala sabana</i> <br> -  -  -  -  -  -  <i>Puntius</i> <br> -  -  -  -  -  -  -  <i>Puntius sealei</i> (as synonym: <i>Barbodes sealei</i>)<br> -  -  -  -  Siluriformes <br> -  -  -  -  -  Clariidae <br> -  -  -  -  -  -  <i>Clarias</i> <br> -  -  -  -  -  -  -  <i>Clarias anfractus</i> <br> -  -  -  -  -  Bagridae <br> -  -  -  -  -  -  <i>Hemibagrus</i> <br> -  -  -  -  -  -  -  <i>Hemibagrus baramensis</i> <br> -  -  -  -  Perciformes <br> -  -  -  -  -  Channidae <br> -  -  -  -  -  -  <i>Channa</i> <br> -  -  -  -  -  -  -  <i>Channa striata</i> <br></div><p></p>
scRNA-seq revealed the rules for CDR3 length pairing in TCR beta and alpha chains and BCR heavy and light chains
<p>The scRNAseq datasets of CDR3 length pairing in TCR beta and alpha chains which come from human cental and peripheral samples and mouse peripheral samples.</p> <p>The scRNAseq datasets of CDR3 length pairing in BCR heavy and light chainsCDR3 length pairing in TCR beta and alpha chains and BCR heavy and light chains human cental and peripheral samples and mouse cental and peripheral samples.</p> <p> </p>
Data From: Shortened food chain length in a fished versus unfished coral reef
<p>Direct exploitation through fishing is driving dramatic declines in wildlife populations in ocean environments, particularly for predatory and large-bodied taxa. Despite wide recognition of this pattern and well-established consequences of such trophic downgrading on ecosystem function, there have been few empirical studies examining the effects of fishing on whole system trophic architecture. Understanding these kinds of structural impacts is especially important in coral reef ecosystems - often heavily fished and facing multiple stressors. Given often high dietary flexibility and numerous functional redundancies, especially in diverse ecosystems such as coral reefs, it is important to establish if web architecture is strongly impacted by fishing pressure, or if it might be resilient, at least to moderate intensity pressure. To examine this question, we used a combination of bulk and compound-specific stable isotope analyses measured across a range of predatory and low trophic level consumers between two coral reef ecosystems that differed with respect to fishing pressure but otherwise remained largely similar. We find that even in a high diversity system with relatively modest fishing pressure, there are strong reductions in the trophic position of the three highest trophic position consumers examined in the fished system but no effects on the trophic position of lower-level consumers. We see no evidence that this shortening of these affected food webs is being driven by changes in basal resource consumption, e.g., through changes in spatial location of foraging by consumers. Instead, this likely reflects internal changes in food web architecture suggesting that even in diverse systems, and with relatively modest pressure, human harvest causes significant compressions in food chain length. This observed shortening of these food webs may have many important emergent ecological consequences for the functioning of ecosystems impacted by fishing or hunting. Such important structural shifts may be widespread but unnoticed by traditional surveys. This insight may also be useful for applied ecosystems managers grappling with choices about the relative importance of protection for remote and pristine areas and the value of strict no-take areas to protect not just the raw constituents of systems affected by fishing and hunting but also the health and functionality of whole systems.</p>
Towards a mechanistic understanding of variation in aquatic food chain length revealed by meta-analysis
<p><span>Ecologists have long sought to understand the forces determining food chain lengths (FCLs). Multiple hypotheses have proposed a diverse array of potential environmental determinants of FCL, typically including ecosystem size, resource productivity, and disturbance. Yet, many empirical studies have found that FCL responses to these environmental variables can be positive as well as negative. To explain such mixed responses, we develop a simple yet comprehensive, site-occupancy dynamic framework for complex food webs by integrating multiple environmental drivers. With the competition-colonization tradeoff among basal species, our model shows that increasing ecosystem size results in a monotonic increase in FCL as a whole, while FCL displays a non-linear, oscillatory response to resource productivity or disturbance in benign environments. These predictions are generally supported by our meta-analysis of an empirical dataset compiled from diverse aquatic ecosystems. Therefore, this unifying framework offers a novel mechanistic explanation for observed variation in FCLs driven by multiple environmental factors.</span></p>
You are what your host eats: The trophic structure and food chain length of a symbiont community are coupled with the plastic diet of the host ant
<p>Food chain length provides key information on the flow of nutrients and energy in ecosystems. Variation in food chain length has primarily been explained by environmental drivers such as ecosystem size and productivity. Most insights are obtained from theory or aquatic systems, but the importance of these drivers remains largely untested in terrestrial systems.</p> <p>We exploited red wood ant nests markedly differing in size as natural experiments to quantify the drivers of trophic structure and food chain length of their symbiont arthropod communities. Using stable isotopes, we explored the variation in the trophic positions of four symbiont species with the trophic position of the top predator as a proxy for food chain length of the symbiont community. </p> <p>Nest size did not affect food chain length, nor trophic distance between the symbionts. Instead, food chain length and the trophic positions of the symbionts were strongly affected by the host's foraging decisions. When the host diet shifted from predominantly herbivorous to more predacious, the trophic position of the symbionts and food chain length strongly increased.</p> <p>We show for the first time that a food web can be structured by biotic interactions with an engineering species rather than by abiotic environmental variable</p>
Habitat area and edges affect the length of trophic chains in a fragmented forest
<p class="MsoNormal">We built plant-leaf miner-parasitoid food webs in 19 remnants of a fragmented Chaco forest in central Argentina. We constructed food webs on each remnant from different locations at the forest interior and edges. For each food web, we registered the abundance of species, the species richness of each trophic level, estimated the connectivity of their networks, and the average food chain length. We used structural equation models to evaluate the direct and indirect effects of habitat area and edge/interior location on food chain length mediated by species richness, abundance, and connectivity. </p>
Habitat area and edges affect the length of trophic chains in a fragmented forest
Open the record for dataset details and reuse information.
Towards a mechanistic understanding of variation in aquatic food chain length revealed by meta-analysis
Open the record for dataset details and reuse information.
You are what your host eats: The trophic structure and food chain length of a symbiont community are coupled with the plastic diet of the host ant
Open the record for dataset details and reuse information.
Data From: Shortened food chain length in a fished versus unfished coral reef
Open the record for dataset details and reuse information.
Chain length, growth rate and clearance rate of Thalassiosira Rotula, Chaetoceros Curvisetus, and Chaetoceros Affinis when exposed to copepodamides.
<p>Colony formation is common feature among non-motile marine phytoplankton. Several theories exist around the potential benefits of larger colonies. Here we test the hypothesis that predation is one of the drivers behind colony formation and chain length plasticity. We exposed cultures of Thalassiosira rotula, Chaetoceros curvisetus and Chaetoceros affinis to copepodamides, a chemical alarm cue released by copepods and perceived as an indicator of predation threat by their prey. This was coupled with a grazing experiment which compared copepod grazing rates on different chain lengths. Our results show that T. rotula and C. curvisetus decreased their chain lengths by 79% and 49%, respectively, in response to copepodamides. Single cells and short chains were grazed at lower rates compared to long chains and the copepodamide driven size shift led to 30% and 12% lower grazing in T. rotula and C. curvisetus respectively. In contrast, C. affinis showed a slight increased chain length in response to copepodamides although non-significant. We found that 2 of 3 studied species reduce their chain length in response to the presence copepod grazers. Altered size structure has implications for the route of carbon in the marine food webs and carbon export to deeper strata.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.
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.
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.
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.
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.