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.
2,163
datasets available to search
ShareScore release 0.7.1
Dataset results
2,163 results for “sustainability”
Figure 2 in The Design of Solar-Powered Lighting Aid Tool for Swimming Crab (Portunus pelagicus) Fishing - 'SuryaNet' - as an Effort to Preserve Environmental Sustainability
Figure 2. Surya Net System Placed on the Gillnet Fishing Vessel
Applying innovative cloud computing technology for the effective management of Groundwater resources to promote SUStainable food security within the Sokoto Basin, Nigeria (AGSUS)
Open the record for dataset details and reuse information.
Sustainability Science Papers: Image accompanying social media post
<p>Image accompanying a social media post on the micro-blogging platform called Twitter at the time.</p> <p>Image description/ Alt text:</p> <p>An image of twelve abstracted scientific papers with with only titles readable. The Title of the whole image is "Sustainability Science Papers". The twelve titles are:<br>- A new framework to organize frameworks about human-nature relations<br>- Eating meat is bad<br>- It's capitalism's fault<br>- The economists did not let me publish my degrowth stuff<br>- Turns out businesses are not as green as they claim to be<br>- Here are many different scenarios for the future. Now go cry.<br>- We went to this island and did some workhshops with fishermen and the government. They just don't get it.<br>- This anthropocene concept is mindblowing<br>- Academia sucks, that's why we wrote a paper about it<br>- A social-ecological-art-dentistry reflection on interdisciplinary challenges<br>- You say activist, I say transdisciplinarity<br>- I have a PhD in sustainability science. I still do not know what it is.</p> <p>The social media post text accompanying the image at the time was:</p> <p>"I had to make one for #sustainability science, because a) the others made me laugh a lot and b) gave me a nice unfiltered insight into some fields 😂. #TypesOfScientificPapers #AcademicTwitter <br>(btw, thx @g_levrier) https://t.co/vkaPKsvVtq"</p>
Review dataset "Ethnobiology's contributions to sustainability science"
<p><span>This search was performed on April 2023 and allowed us to identify a total of 280 articles published between 2015 and 2022 (Supplementary Material 21). </span></p>
Fallet et al - Entomopathogenic nematodes as an effective and sustainable alternative to control the fall armyworm in Africa - Dataset and R Script
<p>We tested in field trials in Rwanda in 2022 the efficacy of entomopathogenic nematodes (EPN) to control the fall armyworm (<em>Spodoptera frugiperda </em>Smith; FAW) over a complete growing season of maize. For an exhaustive description of the method, please see the publication: Fallet et al., 2024. <em>PNAS Nexus</em>. DOI: <a href="https://doi.org/10.1093/pnasnexus/pgae122">https://doi.org/10.1093/pnasnexus/pgae122</a></p> <p>Briefly, the trials were conducted in six fields each containing 20 plots. In each field, five plots were attributed to one of the following treatments (n = 30 plots per treatment in total):</p> <ul> <li>Untreated control (negative control)</li> <li>EPN formulated in a Surfactant-Polymer-Formulation (SPF; e-nema GmbH, Schwentinental, Germany)</li> <li>EPN formulated in a carboxymethyl cellulose gel (Gel; Fallet et al., 2022. Biol. Control. DOI: https://doi.org/10.1016/j.biocontrol.2022.105086</li> <li>Cypermethrin (positive control; pyrethroid contact insecticide)</li> </ul> <p>Treatments were applied into the whorl of every plant within a plot as a 2ml spot application, starting when >30% of plants were infested with FAW. Treatments were re-applied every two weeks until the maize flowers emerged. In total, treatments were applied four times in fields I, II, II and IV, and three times in fields V and VI.</p> <p><strong>Data recorded</strong></p> <ul> <li><strong>Whorl damage:</strong><br>Whorl damage was visually assessed seven- and fourteen-days post after the first-, second- and third-treatments on 40 plants per plot using the Davis whorl damage scale (Davis et al., 1992) as described in Toepfer et al. (2021). Briefly, the Davis whorl damage scale ranges from "0" to "9", whereby a fully intact whorl is attributed a score of "0", while an almost totally destroyed whorl is attributed a score of "9". Minor damages are represented by scores ranging from 1-3, while moderate or severe damages by scores ranging from 4-6 or 7-9, respectively.</li> <li><strong>FAW infestation:</strong><br>Five days after the third application of the treatments, we evaluated FAW infestation levels. For this, ten plants were destroyed in each plot to search for caterpillars. The occurrence (yes/no) of young caterpillars (shorter than 0.5 cm) was determined as a proxy for re-infestation, whereas the number of older caterpillars (longer than 0.5 cm) was used as a proxy for treatment efficacy.</li> <li><strong>Number of cobs:</strong><br>At harvest, the number of fully-developed and underdeveloped cobs from 30 plants per plot was recorded.</li> <li><strong>Cob damage:</strong><br>Fully-devloped cobs were husked to visually evaluate cob damage, using a "0" to "3" customized damage score, where "0" represents an intact cob, while scores of "1", "2", or "3" represent minor (<5% damaged kernels), moderate (5-20% damaged kernels) or severe (>20% damaged kernels) cob damage, respectively.</li> <li><strong>Yield:</strong><br>The husked cobs from 30 plants were weighed together to estimate fresh weight (FW) yield per plot.</li> </ul> <p> </p> <p> </p>
Figure 6 in Analysis of Carapas Width and Weight on Maturity Level of Swimming Crab (Portunus pelagicus) as Basis for Sustainable Resource Management in the Eastern Waters of Surabaya
Figure 6: Percentage of maturity level of female swimming crabs
Figure 5 in Analysis of Carapas Width and Weight on Maturity Level of Swimming Crab (Portunus pelagicus) as Basis for Sustainable Resource Management in the Eastern Waters of Surabaya
Figure 5. Percentage of spawning females Phase
Figure 4 in Analysis of Carapas Width and Weight on Maturity Level of Swimming Crab (Portunus pelagicus) as Basis for Sustainable Resource Management in the Eastern Waters of Surabaya
Figure 4: Sex ratio distribution of swimming crab
Figure 1 in Analysis of Carapas Width and Weight on Maturity Level of Swimming Crab (Portunus pelagicus) as Basis for Sustainable Resource Management in the Eastern Waters of Surabaya
Figure 1: Maturity level composition of swimming crab based on carapace width
Figure 3 in Analysis of Carapas Width and Weight on Maturity Level of Swimming Crab (Portunus pelagicus) as Basis for Sustainable Resource Management in the Eastern Waters of Surabaya
Figure 3: Average weight of swimming crab
Figure 2 in Analysis of Carapas Width and Weight on Maturity Level of Swimming Crab (Portunus pelagicus) as Basis for Sustainable Resource Management in the Eastern Waters of Surabaya
Figure 2: Average Carapace Width of Swimming Crab
Data from: forest stand dynamics of a short-stature tree species: ecological knowledge for sustainable forest management
<p>This data set is a forest inventory of <em>Nothofagus antarctica</em> in southern Chile. More than 20 sites were selected. In each site, parallel transects were set and every 30 m a sampling point was set where the distance to the nearest four trees (in accordance with the cardinal points) were measured.</p>
Data from: Building functional and sustainable pharmacovigilance systems - an analysis of pharmacovigilance development across high-, middle- and low-income countries
<p>Background</p> <p>Pharmacovigilance (PV) is an essential component of health systems. Functional PV systems protect and promote public health by supporting the safe and effective use of medicinal products through the prevention and mitigation of harm. With increased simultaneous introduction of innovative products in high-, middle- and low-income countries, e.g., COVID-19 vaccines, or solely in low- and middle-income countries (LMIC), e.g., malaria vaccines, PV systems in LMIC must be able to detect safety signals and ensure adequate safety surveillance. This research aims to analyse the development of PV systems across high-, middle- and low-income countries and to carve out essential elements for implementing functional and sustainable PV systems in LMIC.</p> <p>Methods</p> <p>A convergent parallel mixed-methods design, consisting of qualitative and quantitative methods was used. Qualitative research consisted of semi-structured interviews. To expand the breadth and range of the study, a quantitative survey was conducted, focusing on the same thematic questions as the semi-structured interviews.</p> <p>Results</p> <p>Twelve key informants from nine countries were interviewed and 52 respondents from 36 countries completed an online questionnaire. Four major themes consisting of 12 categories emerged from the data. Based on these, the following elements essential for building functional and sustainable pharmacovigilance systems in LMIC were identified: understanding the drivers of PV development; adequately resolving core system challenges; implementing an efficient organisational structure and procedures for PV; investing in activities beyond reporting of adverse drug reactions; identifying alternate sources of financing; having a national strategy with a vision and mission for PV; adequately leveraging the health system; and effectively integrating the pharmaceutical sector in the national PV system.</p> <p>Conclusions</p> <p>Findings from this research revealed progress in PV systems in LMIC in the last decade, though significant efforts are still needed to develop these systems to meet global standards. Developing the different areas emerging from this research, which necessitates implementing functional PV structures and processes, adequately leveraging the health system and effectively engaging the pharmaceutical sector, through the mechanisms proposed, would enable a comprehensive progression from basic to stable, functional and thus sustainable PV systems in LMIC.</p>
Intel's AI-Powered Initiatives for Sustainable Energy
<p>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?id=yhz_92h96&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?id=yhz_cbegf&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?u=x&id=yhz_1fea8&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?xml=https://dqnko.com&id=yhz_63cdc<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?id=yhz_c3cad&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?id=yhz_f1f19&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?id=yhz_c487b&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?xml=https://dqnko.com&id=yhz_331zd<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?a=s&id=yhz_bgh33&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?e=u&id=yhz_89c62&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?r=g&id=yhz_ed7c6&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?xml=https://dqnko.com&id=yhz_g7agz<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?o=e&id=yhz_7c12h&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?xml=https://dqnko.com&id=yhz_e9z9d<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?id=yhz_d19be&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?id=yhz_cz5de&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?id=yhz_1eeb5&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?a=s&id=yhz_hdggz&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?xml=https://dqnko.com&id=yhz_f3782<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?x=l&id=yhz_gzhg2&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?id=yhz_7bbgg&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?id=yhz_a51fh&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?r=n&id=yhz_a6ddc&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?x=p&id=yhz_bh748&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?xml=https://dqnko.com&id=yhz_933e7<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?id=yhz_326b3&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?g=s&id=ymp_1zg2h&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?a=d&id=ymp_zbc17&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?xml=https://dqnko.com&id=ymp_e6d21<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?p=d&id=ymp_3c897&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?t=l&id=ymp_5h3az&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?id=ymp_79g5g&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?id=ymp_2e734&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?xml=https://dqnko.com&id=ymp_1db2g<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?xml=https://dqnko.com&id=ymp_48ag9<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?id=ymp_he216&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?a=z&id=ymp_caa12&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?xml=https://dqnko.com&id=ymp_524h2<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?xml=https://dqnko.com&id=ymp_h8b7h<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?xml=https://dqnko.com&id=ymp_g69gc<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?xml=https://dqnko.com&id=ymp_f54d2<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?xml=https://dqnko.com&id=ymp_54d7f<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?d=v&id=ymp_b2b3d&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?d=v&id=ymp_91baa&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?xml=https://dqnko.com&id=ymp_a8e53<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?r=g&id=ymp_8z4eh&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?xml=https://dqnko.com&id=ymp_az32g<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?j=n&id=ymp_4868z&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?xml=https://dqnko.com&id=ymp_4d876<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?id=ymp_39e91&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?v=s&id=ymp_ec1fg&xml=https://dqnko.com<br>https://media.housing.wisc.edu/virtual-tours/2021-06-22-dejope-triple/tour.html?id=ymp_3d978&xml=https://dqnko.com<br>https://sites.google.com/view/hownvidiasaiisenhancingcloudga/home<br>https://sites.google.com/view/intels-new-ai-processors-for-s/home<br>https://sites.google.com/view/applesuseofaitoboostipadprocap/home<br>https://sites.google.com/view/samsungsaitechnologybehindsmar/home<br>https://sites.google.com/view/amdsimpactonai-poweredgamingla/home<br>https://sites.google.com/view/amazonsai-driveninnovationsfor/home<br>https://sites.google.com/view/nvidias-breakthroughs-in-ai-fo/home<br>https://sites.google.com/view/intelsstrategyforintegratingai/home<br>https://sites.google.com/view/applessiriupgradeswithai-power/home<br>https://newspovgamingstyle.blogspot.com/2024/11/how-amazon-uses-ai-to-improve-customer.html<br>https://newspovgamingstyle.blogspot.com/2024/11/amds-role-in-developing-ai-for.html<br>https://newspovgamingstyle.blogspot.com/2024/11/samsungs-advanced-ai-for-foldable-phone.html<br>https://hatebin.com/jueziwfulv<br>https://hatebin.com/ffsfgwulsk<br>https://hatebin.com/rqgjpabfqm<br>https://hatebin.com/rqgjpabfqm<br>https://hatebin.com/mdhqhvjyso<br>https://hatebin.com/ajokwmesja<br>https://hatebin.com/iiwylkvpkj<br>https://hatebin.com/lnadreqirq<br>https://hatebin.com/tucijkzgza<br>https://hatebin.com/jueziwfulv<br>https://hatebin.com/ffsfgwulsk<br>https://hatebin.com/rqgjpabfqm<br>https://0bin.net/paste/GQ33EKzG#v98zltDzTEtO7e-EZnOW8gjiUUWsV9Uaeycku9rxXne<br>https://0bin.net/paste/XFgp4lBS#hYB+w98SrZ-K9a20ykCDYwKvto6inqjvfUfpywM5hiM<br>https://0bin.net/paste/sapb3ZWt#841FcAATIZgkqufHCLt8RVr7mObdvrPuHACysX75IOB<br>https://0bin.net/paste/mnNx+pI2#LAt+0DmXjW-l9+LNJf7RmtB3daUUj6+ySuSOyZWEZSk<br>https://0bin.net/paste/+zqbDYzk#+IcQWXBSQ-sRjylRevKW0WHMEP6reQEVI2FWe6LrB8r<br>https://0bin.net/paste/L51laANR#gTDXqxdgh8Xezg3EWZMZTSmvYiJODPX4hg-Bd82J3MG<br>https://0bin.net/paste/suqQNQqI#rFRhfoYOg2f5yQIxCsyPgrqBwunhGca9x0-prPtckcv<br>https://0bin.net/paste/LXyGD5O0#opHQJIUp8k737UAEbRgedYQqw-XgEwcGQp/y7NQ3+oB<br>https://www.pastery.net/kysatv/<br>https://www.pastery.net/btfnka/<br>https://www.pastery.net/bbnemz/<br>https://www.pastery.net/fkzacs/<br>https://www.pastery.net/zxxjkx/<br>https://www.pastery.net/ukamvj/<br>https://www.pastery.net/trfzqy/<br>https://www.pastery.net/hburny/<br>https://www.pastery.net/wyychb/<br>https://justpaste.it/dknr4<br>https://briselme4brisel.hashnode.dev/intels-collaboration-on-ai-projects-with-research-institutions<br>https://briselme4brisely.hashnode.space/default-guide/apples-focus-on-ai-for-proactive-device-features?t=1731416846146<br>https://web3devcommunity.com/topic/38799/how-samsung-utilizes-ai-for-enhanced-user-personalization<br>https://sebsauvage.net/paste/?0af112020b682953#x0UrJaarmKUu0yU2/EyT2PsCkFzxDjoMCBjMNvJwxM8=<br>https://thedarkko.net/topic/170317-amds-strategy-for-ai-in-multitasking-and-efficiency/<br>https://pastelink.net/3e3bwu0d<br>https://pastelink.net/j6odd5mw<br>https://pastelink.net/2g53wb2u<br>https://pastelink.net/8izxpeh2<br>https://pastelink.net/sr597p5y<br>https://pastelink.net/submit<br>https://paste.ee/p/HWiNm<br>https://controlc.com/68ae851b<br>https://controlc.com/568ae851b<br>https://controlc.com/918a568a<br>https://controlc.com/c8490206<br>https://controlc.com/2848d97a<br>https://paste.imirhil.fr/?e18ee4b0d3582313#UeQmvu/Kev7sDZNfYWfiKTLDcj3ZYvU7WQ1CVo0SZXY=<br>https://rentry.co/bsk3p4qz<br>http://opensource.platon.org/forum/projects/viewtopic.php?p=12692504#12692504<br>https://wokwi.com/projects/414353571194399745<br>https://matters.town/a/0zgf0hacp520<br>https://paste.centos.org/view/49e16c43<br>https://paste.feed-the-beast.com/view/85057c2b<br>https://ctxt.io/2/AAB4mtG_EQ<br>https://jsitor.com/rnmiGqxHXX<br>https://etextpad.com/faew9btod0<br>https://prod.pastebin.prod.webservices.mozgcp.net/FgEfybBn<br>https://commie.io/#H1wNa3nM<br>https://privatebin.net/?267a325a737132ee#G8HpLvKLeUzLKbQXCWVTkzDmV6acLJXGRqdtrmAkKXRu<br>https://paste.enginehub.org/Vs75qW1VJ<br>https://binshare.net/4YCJdvNrbFdbq9fThq8d<br>https://binshare.net/33ieZ6FQmidvzJRoqSFE<br>https://binshare.net/8yIxgeBOrtPZlc1QFSFo<br>https://binshare.net/HpQBtkxSKsP5dg1tLkft<br>https://binshare.net/OQ2M1ezJ9DWi2sCxKStj<br>https://binshare.net/Wh1mygsVUe9uT9HaM0gp<br>https://binshare.net/MOqDgw8oa60uK3J1YfFW<br>https://binshare.net/JVOBIaUwAZHr9wjb6jBE<br>https://binshare.net/XZtkfaLmVRPInONFZpBu<br>https://binshare.net/7t1wpjsVSKD2utB4D2N3<br>https://binshare.net/LAXSfCGqC0iH8Pc2Wfxl<br>https://paste.toolforge.org/view/8a112610<br>https://snippet.host/jzqazz<br>https://wow.curseforge.com/paste/45c41003<br>https://www.wowace.com/paste/a032b0b4<br>https://www.taskade.com/d/APdm8zsgpPdGosZs?share=view&view=iNgnrtvQKhz5ZzJx&as=list<br>https://forum.thecodingcolosseum.com/topic/18417/samsung-s-ai-technologies-for-improved-camera-algorithms<br>https://www.deviantart.com/pickman514854/journal/Amazons-Latest-AI-Innovations-for-Smart-Shopping-1121317695<br>https://promosimple.com/ps/2ffa4/jhjuhu<br>https://hackmd.io/@XPvGJkTlQE6Tq9bywho50w/SkmD6Tlfyg</p>
Index of Sustainable Development and its components
<p><span>The proposed Sustainable Development Gauging Metrics methodology assesses sustainable development by considering two main components: Quality of Life and Security of Life.</span></p> <p><span>The Quality of Life component (C<sub>ql</sub>) evaluates the harmonization of society's development across economic, environmental, and social dimensions. It comprises:</span></p> <ul> <li><span>Economic dimension (I<sub>ec</sub>): combining global competitiveness and economic freedom indices, addressing SDGs 8, 9, 10, and 12;</span></li> <li><span>Environmental dimension (I<sub>e</sub>): utilizing the Environmental Performance Index, focusing on SDGs 6, 13, 14, and 15;</span></li> <li><span>Social dimension (I<sub>s</sub>): covering poverty, health, education, justice, etc., with 26 indicators, reflecting societal-level SDGs.</span></li> </ul> <p><span>The indicator of harmonization assesses the balance between economic, environmental, and social dimensions.</span></p> <p><span>The Security of Life component (C<sub>sl</sub>), evaluates the impact of 11 global threats on countries. These threats include decrease in energy security, imbalance between biological capacity of the Earth and human needs in biosphere, growing inequality between people and countries on the Earth, spread of global diseases, information gap, corruption, limited access to drinking water, impact of climate change and natural disaster, state fragility, proliferation and global terrorism, conflict intensity increasing.</span></p> <p><span>The purpose of this dataset is to present the results of the assessing and analyzing the Sustainable Development Index of the 134 world countries based on 2005-2022 data. </span></p>
Sahana et al. Supplementary Data for Global Transboundary River Research: Databases, Case Study Analysis, and Regional Statistics for Sustainable Management
<p><span>This dataset supports our comprehensive review article on transboundary river research, exploring its implications for sustainable management worldwide. Utilizing machine learning, we analyzed 4,237 publications and conducted an in-depth desk review of 325 selected papers, examining a total of 4,713 case studies spanning 286 river basins globally. The study provides critical insights into upstream, midstream, and downstream regions, offering a complete view of challenges and opportunities in transboundary river management. Supplementary Data 1 contains the main database used in this study, sourced from Scopus, Web of Science, and Google Scholar. Additionally, Supplementary Data 2 and 3, included in the spreadsheet, offer statistics and further resources essential for understanding regional and cross-regional dynamics in river basin governance. These supplementary resources include key statistics, case study metadata, and tools, helping to facilitate a deeper exploration of basin-specific and global trends in transboundary water management. This collection of data and resources provides a valuable foundation for researchers and policymakers in advancing sustainable transboundary river management practices.</span></p>
No sustained mean velocity in the boundary region of plane thermal convection
<p>The dataset can be used to generate the figures from the publication titled <a href="https://doi.org/10.1017/jfm.2024.853">"<em>No sustained mean velocity in the boundary region of plane thermal convection</em>"</a>. Along with the data, the relevant Python scripts are also supplied for easy reproduction of the figures presented in this work.</p>
Ethical and Sustainable Fashion
<p>During the Sabai Webinar Series 18, hosted by the Shwetaungthagathu Reform Initiative Centre (SRIc), experts, including Tin Shine Aung (SRIc Director), Shar Thae Hoy (Founder of CALM), and Theint Theint Myat (Founder of Handmake By Theint), explored the essence of ethical and sustainable fashion. They highlighted fair wages, safe workspaces, and eco-friendly practices as its core values. Discussions included innovative solutions like recycled fabrics and biodegradable materials, emphasizing consumer power to drive industry change by choosing sustainable and durable fashion.</p>
Spent Coffee Grounds as a Sustainable Coffee Flavouring Ingredient in Muffins
<p>Data for the paper entitles: Spent Coffee Grounds as a Sustainable Coffee Flavouring Ingredient in Muffins <br>Published by Sina Breian Solberg and Svein Øivind Solberg<br>Journal: Exploration of Foods and Foodomics, December 2024</p> <p>Affiliation SBS: The National Bakery School, London South Bank University, London SE1 0AA, United Kingdom <br>Affiliation SØS: Faculty of Applied Ecology, Agricultural Sciences and Biotechnology, Inland Norway University of Applied Sciences, Ridabu, Norway</p> <p>Correspondence: Svein Øivind Solberg, Faculty of Applied Ecology, Agricultural Sciences and Biotechnology, Inland Norway University of Applied Sciences, 2322 Ridabu, Norway; svein.solberg@inn.no.</p>
Data and Software for "Probabilistic Trade-offs Analysis for Sustainable and Equitable Management of Climate-Induced Water Risks"
<p><span>Research data supporting the study "Probabilistic trade-offs analysis for sustainable and equitable management of climate-induced water risks"</span></p> <p><span>This repository provides data of the Stochastic Dual Dynamic Programming (SDDP) model, and the output results of the simulations of the various policies and climate scenarios considered in this study, as well as the code used for postprocessing and visualizing the results.</span></p> <p><strong><span>Contents</span></strong></p> <ol> <li><strong><span>Data: Model Inputs</span></strong><span><br>This folder contains the physical river network, reservoir and water demand, and economic data derived from the observed database.<br>The key files are:</span></li> <ul> <li><span>Input_HydrologicalData</span></li> <li><span>Input_SystemData</span></li> </ul> <li><strong><span>Results: Model Output Analysis</span></strong><span><br>This folder includes outputs from the Stochastic Dual Dynamic Programming (SDDP) model under various policies and climate scenarios. The results showcase optimized sectoral water use, including irrigated areas, hydropower generation, and allocations for agriculture, energy, and urban demands across spatial locations (upstream and downstream).<br>Key files include:</span></li> <ul> <li><strong><span>SDDP Model Outputs</span></strong><span> (MATLAB format): </span></li> <ul> <li><span>EnergyPriority_Baseline.mat</span></li> <li><span>EnergyPriority_2070.mat</span></li> <li><span>EnergyPriority_2100.mat</span></li> <li><span>AgriculturePriority_Baseline.mat</span></li> <li><span>AgriculturePriority_2070.mat</span></li> <li><span>AgriculturePriority_2100.mat</span></li> </ul> <li><strong><span>Extracted Model Results</span></strong><span> (Excel format): </span></li> <ul> <li><span>Organized for each policy and climate scenario to facilitate analysis.</span></li> </ul> </ul> <li><strong><span>Software: Data Analysis and Visualization</span></strong><span><br>Python scripts designed for outputs data analysis and visualization are included to reproduce the primary figures from the study.<br>Scripts provided:</span></li> <ul> <li><span>CDF_outflow.py</span><span>: Analyzes cumulative distribution functions for river discharge.</span></li> <li><span>CDF_sectors.py</span><span>: Examines sectoral water use distributions.</span></li> <li><span>PCP_SI.py</span><span>: Generates Parallel Coordinate Plots for trade-offs analysis.</span></li> </ul> <li><strong><span>Instructions: README File</span></strong><span><br>A comprehensive README file explains:</span></li> <ul> <li><span>Details of model input data.</span></li> <li><span>Instructions to interpret the SDDP model outputs.</span></li> </ul> </ol> <p><strong><span>Instructions:</span></strong><span><br></span><span>The Python scripts process Excel files from the model output results folder to generate and visualize the figures for the paper. Each step is clearly documented within the scripts.</span></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.