Metrics
751 Downloads
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

501 to 510 of 1,416 Results
Tabular Data - 100.2 KB - 2 Variables, 3063 Observations - UNF:6:xS7mwDGt8j3EzcBV07uyBQ==
PXRD_as-received_pebbles
Tabular Data - 429.4 KB - 3 Variables, 14351 Observations - UNF:6:iZzl55u+GTfcINXM7Smn0w==
TG_DSC_as-received_pebbles
Sep 1, 2025 - Social Sciences
Muska, Aina; Pilvere, Irina; Nipers, Aleksejs, 2025, "Datasets for European Green Deal Objective for Sustainable Agriculture: Opportunities and Challenges to Reduce Pesticide Use", https://doi.org/10.71782/DATA/GHMSF7, DataverseLV, V2, UNF:6:ZHnSdzoee/C0uuQu/f/nIg== [fileUNF]
Three indicators were used to assess the contribution of EU Member States: (1) use of pesticides per unit of arable land area (kg/ha); (2) the Harmonised Risk Indicator 1; (3) a result indicator from the CAP National Strategic Plans (SP) for 2023–2027 – R.24 “Sustainable and reduced use of pesticides”. This indicator shows the share of utilised agr...
Tabular Data - 818 B - 4 Variables, 27 Observations - UNF:6:v/gW+5bqG9cQ5lBDay0cwQ==
2018 dataset
Tabular Data - 808 B - 4 Variables, 27 Observations - UNF:6:VW5Hw74rIx+cZMvH4NsSew==
2022 dataset
Plain Text - 4.3 KB - MD5: a2d21bf3553247ee972f3eab7e44cbfd
ReadMe file with datasets description
Unknown - 14.6 MB - MD5: c90830f93c6ece89ee010a10c3313848
Summarised parcel-level results in a single grid with 100-hectare cells
Plain Text
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Comma Separated Values
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Aug 29, 2025 - Rīga Stradiņš University
Bernans, Edgars; Cirule, Diana, 2025, "Dataset of Treadmill Walking Gait under Simulated Leg Length Discrepancy via Shoe/No-Shoe Conditions", https://doi.org/10.48510/FK2/NINOWL
Walking kinematics data dataset contains participant characteristics including Height without shoes (cm), Length right leg (cm), Length left leg (cm), Shoe size (EU), Shoe height (cm), Weight (kg), Condition, Sex, and Age (years); treadmill settings such as Velocity (km/h) and Slope (%); as well as gait parameters comprising Nr., Step length (cm),...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.