Find research datasets worth reusing

Agriculture_2021_WAM_EPA (2023)

2023 Excel workbook for the Agriculture sector With Additional Measures (WAM) for 1990–2021, as compiled by the Environmental Protection Agency (Ireland) in support of Ireland's annual GHG inventory and projection submissions. The workbook also includes projected time series for data up to 2050 based on Teagasc modelling based on economic projections of agricultural production.

"I was the class teacher at that time. It was a class trip, usually organized near the end of the schoolterm in summer. The pupils went there by bike to have a barbecue at the sandy banks of the river Rhine near Dusseldorf. The landscape around is mostly dominated by agriculture and glasshouse cultures. You find a mixture of former villages nowadays completely suburbanized. The population finds jobs in the nearby urban centers like Dusseldorf, Neuss and other big cities. The reason why Irecorded the scene is simply because Iam interested in collecting sounds in general by doing recordings in different surroundings like nature, cities and everything between. My memories about the event are that it was a relaxing and funny atmosphere, which is not always the case while teaching in a classroom" [Reinhard/reinsamba]15 in Collecting Sounds. Online Sharing of Field Recordings as Cultural Practice

"I was the class teacher at that time. It was a class trip, usually organized near the end of the schoolterm in summer. The pupils went there by bike to have a barbecue at the sandy banks of the river Rhine near Dusseldorf. The landscape around is mostly dominated by agriculture and glasshouse cultures. You find a mixture of former villages nowadays completely suburbanized. The population finds jobs in the nearby urban centers like Dusseldorf, Neuss and other big cities. The reason why Irecorded the scene is simply because Iam interested in collecting sounds in general by doing recordings in different surroundings like nature, cities and everything between. My memories about the event are that it was a relaxing and funny atmosphere, which is not always the case while teaching in a classroom" [Reinhard/reinsamba]15

The changing impact of rural electrification on Indian agriculture

Repository of datasets and code for publication titled "The changing impact of rural electrification on Indian agriculture." https://doi.org/10.1038/s41467-023-42533-7

Figure 4 in A Case Study of Wavelets and SVM Application in Coffee Agriculture: Detecting Cicadas Based on Their Acoustic and Image Patterns

Figure 4. The SVM structure used in application one approach. The weights determined during the superoised part of the training are {w0, w1, ..., wX̅1}. The output element linearly combines the outputs of the hidden layer with the weights.

Figure 2. The paraconsistent plane where the axes G1 and G2 in A Case Study of Wavelets and SVM Application in Coffee Agriculture: Detecting Cicadas Based on Their Acoustic and Image Patterns

Figure 2. The paraconsistent plane where the axes G1 and G2 represent the degrees of certainty and contradiction, respectioely. P = (G1, G2) = (α ̅ β, α + β ̅ 1), drawn in blue just to exemplify, is an important element for our analysis: The closer it is to the corner (1,0), the weaker the classifier associated with the features oector can be. The oalues of α and β are derioed from intra-class and inter-class analyses, respectioely, as detailed in [17].

Figure 1 in A Case Study of Wavelets and SVM Application in Coffee Agriculture: Detecting Cicadas Based on Their Acoustic and Image Patterns

Figure 1. Quesada gigas. On the left, male emitting acoustic signals. On the right, lateral oiew of male resting.

Focal-TSMP: Deep learning for vegetation health prediction and agricultural drought assessment from a regional climate simulation

This is the preprocessed remote sensing dataset used in the paper "Focal-TSMP: Deep learning for vegetation health prediction and agricultural drought assessment from a regional climate simulation". It contains the preprocessed NOAA data along with the additional files necessary for the TSMP simulation.

A Systematic Review of Open Data in Agriculture

This dataset contains a collection of papers retrieved by using a PRISMA systematic review of Open Data and Public Domain data in Agriculture. This collection of papers uses, creates, or discusses about Open Data and Public Domain.The dataset uses the Zotero RDF format and is classified according the source and the topic of the paper