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Dataset results
7 results for “last mile”
Adapting the informed push model to the last mile of the contraceptive supply chain in the Democratic Republic of Congo: Pilot study results
<p>This dataset includes stockout information for nine contraceptives in health facilities in the Katana Health Zone in the South Kivu province of the Democratic Republic of Congo. Information recorded includes availability of contraceptives, occurance and duration of stockouts, and transportation costs for contraceptives. Pilot study results revealed there was no statistically significant difference in availability of contraceptives at the beginning and end of the study period. However, there was a sharp decline in stockout duration and monthly transportation costs. Data was organized as a .dta STATA file in long format, then exported as a CSV file. The dataset includes information on availability of contraceptives, occurance and duration of stockouts and transportation costs. Key abbreviations include IUD (intrauterine device) and EC (emergency contraception). All costs were reported in US dollars.</p>
Coping with the rise of E-commerce generated home deliveries through innovative last-mile technologies and strategies
Open the record for dataset details and reuse information.
Survey Data for Multicriteria Satisfaction Analysis of Cargo Bike Last-Mile Delivery in European Cities
<p>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. <br>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.<br>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.<br>The documents uploaded here are part of WP2 whereby novel, interdisciplinary teams were provided funding to undertake activities to develop a policy recommendation related to EU Green Deal policy. Each of these policy recommendations, and the activities that inform them, will be written-up as a chapter in an edited book collection. Three books will make up this edited collection - one on climate, one on energy and one on mobility. <br>As part of writing a chapter for the SSH CENTRE book on ‘Strengthening European mobility policy - Governance recommendations from innovative interdisciplinary collaborations’, we elicit the opinions of citizens in urban logistics policymaking through a series of surveys in different European cities. The files attached to this Zenodo webpage are therefore the dataset contains raw survey data from a study utilizing Multicriteria Satisfaction Analysis (MUSA) to evaluate public perceptions of cargo bike last-mile delivery in London, Paris, Rome, Dublin, and Warsaw. The data encompasses over 2,000 responses, detailing participants' satisfaction levels with various aspects of cargo bike delivery services, including CO2 emissions, noise, traffic, safety, and shipping costs. This dataset supports comprehensive analyses of urban logistics policies aimed at sustainable mobility solutions in these specific cities.</p>
How long is the last mile? Evaluating successful malaria elimination trajectories [Dataset]
<p>Annual malaria case series were sought for 56 successful elimination programmes through an extensive non-systematic review of published and unpublished documents, including searches of PubMed (https://pubmed.ncbi.nlm.nih.gov/), Google Scholar (scholar.google.com), Google Books (books.google.com), WHO’s Institutional Repository for Information Sharing (https://apps.who.int/iris), online surveillance databases, and the authors’ existing collection of malaria-related books and reports. Several of these elimination programmes were implemented in regions that today have disputed jurisdictional claims or countries that no longer exist; their inclusion is to understand the impact of the historical programmes implemented there and no statement on their current geopolitical context is intended.</p> <p>When annual case totals were classified by origin, the number of locally acquired (i.e., autochthonous) cases was recorded separately from the number of imported cases. If not classified (as is typical until case incidence falls to very low levels), all reported cases were assumed to be locally acquired. Where locally acquired cases were further subclassified, indigenous and cryptic cases were tallied together, while introduced or induced cases were not included in case totals since such cases may arise sporadically in response to importation and are not considered to jeopardize elimination. </p> <p>The first year in which zero indigenous or locally acquired cases were recorded was taken as the termination point of the case series, regardless of whether sporadic or resurgent local transmission occurred subsequently. While this definition of elimination is looser than that required for certification by WHO (i.e., three years with no indigenous transmission), it permits us to examine a wider range of elimination experiences, including some where success was not maintained. Secondary re-elimination efforts (where a year with zero local cases was achieved, malaria subsequently resurged, and then elimination was again achieved), as in the case of Mauritius or the former republics of the USSR, were not included. </p> <p>Sources for the malaria case data are enumerated in the accompanying Word document. For questions or clarifications, please contact Justin Cohen at jcohen@clintonhealthaccess.org.</p>
Supplementary material for publication "The combined second-echelon vehicle routing problem - Integrating last-mile deliveries into public transport"
<p>Supplementary material for publication "The combined second-echelon vehicle routing problem - Integrating last-mile deliveries into public transport".</p> <p> </p> <p>Includes bus times (provided by the data set goettingen from the scientific software toolbox LinTim (https://lintim.net/)), customer nodes, and distances and results for the algorithms for different vehicle speeds, capacities, number of second-echelon vehicles and number of customers.</p>
Last mile operational information
<p>Examples and actual Last mile delivery round data for 17-06-2021 for the Madrid region for multiple vehicles</p>
The LIFT-ECHO Last Mile Project
ClinicalTrials.gov study NCT07094308. IPD Sharing: YES. Countries: 2. Publications: 0.
ScienceDex guides
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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.