cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/pgaiqy/g3ewsc
title: geoBoundaries-2_0_0-CHL-ADM2-shp.zip

description: :unav
DOI: 10.7910/dvn/pgaiqy/kycyvu
title: geoBoundaries-2_0_0-CHN-ADM1-metaData.txt

description: :unav
DOI: 10.7910/dvn/pgaiqy/ndjirs
title: geoBoundaries-2_0_0-CAN-ADM3-metaData.json

description: :unav
DOI: 10.7910/dvn/pgaiqy/npv3kt
title: geoBoundaries-2_0_0-GTM-ADM0.geojson

description: :unav
DOI: 10.7910/dvn/pgaiqy/ofcyl5
title: geoBoundaries-2_0_0-CAN-ADM2-all.zip

description: :unav
DOI: 10.7910/dvn/pgaiqy/qv05y1
title: geoBoundaries-2_0_0-GRD-ADM1-metaData.json

description: :unav
DOI: 10.7910/dvn/pgaiqy/s58akp
title: geoBoundaries-2_0_0-GTM-ADM2-metaData.txt

description: :unav
DOI: 10.7910/dvn/pgaiqy/x3ddxy
title: geoBoundaries-2_0_0-CHN-ADM2-metaData.json

description: :unav
DOI: 10.7910/dvn/pgaiqy/3a2azf
title: geoBoundaries-2_0_0-CAN-ADM2.geojson

description: :unav
DOI: 10.7910/dvn/pgaiqy/agm5ns
title: geoBoundaries-2_0_0-GRD-ADM1-all.zip

description: :unav
DOI: 10.7910/dvn/pgaiqy/anucnv
title: geoBoundaries-2_0_0-HND-ADM0-shp.zip

description: :unav
DOI: 10.7910/dvn/pgaiqy/bsto48
title: geoBoundaries-2_0_0-GTM-ADM2-all.zip

description: :unav
DOI: 10.7910/dvn/pgaiqy/clh34d
title: geoBoundaries-2_0_0-CHE-ADM3-all.zip

description: :unav
DOI: 10.7910/dvn/pgaiqy/clsgqb
title: geoBoundaries-2_0_0-CHL-ADM0-all.zip

description: :unav
DOI: 10.7910/dvn/pgaiqy/jlrgxc
title: geoBoundaries-2_0_0-CAN-ADM2-shp.zip

description: :unav
DOI: 10.7910/dvn/pgaiqy/jrlbsh
title: geoBoundaries-2_0_0-GRD-ADM0-all.zip

description: :unav
DOI: 10.7910/dvn/pgaiqy/lgm2bk
title: geoBoundaries-2_0_0-CHE-ADM1-metaData.txt

description: :unav
DOI: 10.7910/dvn/pgaiqy/m6oby8
title: geoBoundaries-2_0_0-CHL-ADM0-metaData.json

description: :unav
DOI: 10.7910/dvn/pgaiqy/p3sfwo
title: geoBoundaries-2_0_0-GTM-ADM2-shp.zip

description: :unav
DOI: 10.7910/dvn/pgaiqy/pmsmrh
title: geoBoundaries-2_0_0-HND-ADM1-shp.zip

description: :unav
DOI: 10.7910/dvn/pgaiqy/rox2aa
title: geoBoundaries-2_0_0-GTM-ADM0-metaData.json

description: :unav
DOI: 10.7910/dvn/pgaiqy/t8u95z
title: geoBoundaries-2_0_0-GTM-ADM1.geojson

description: :unav
DOI: 10.7910/dvn/pgaiqy/vreevg
title: geoBoundaries-2_0_0-CHN-ADM1-metaData.json

description: :unav
DOI: 10.7910/dvn/pgaiqy/w7cps4
title: geoBoundaries-2_0_0-CHE-ADM3.geojson

description: :unav
DOI: 10.7910/dvn/pgaiqy/zmiahy
title: geoBoundaries-2_0_0-GTM-ADM1-metaData.txt

description: :unav
DOI: 10.7910/dvn/pgaiqy/7bzy4c
title: geoBoundaries-2_0_0-MLI-ADM0-all.zip

description: :unav
DOI: 10.7910/dvn/pgaiqy/7vf4de
title: geoBoundaries-2_0_0-CHN-ADM2.geojson

description: :unav
DOI: 10.7910/dvn/pgaiqy/cqzpvy
title: geoBoundaries-2_0_0-HND-ADM2-metaData.txt

description: :unav
DOI: 10.7910/dvn/pgaiqy/dilxv7
title: geoBoundaries-2_0_0-CAN-ADM2-metaData.txt

description: :unav
DOI: 10.7910/dvn/pgaiqy/dr0qnk
title: geoBoundaries-2_0_0-CHE-ADM2-metaData.txt

description: :unav
DOI: 10.7910/dvn/pgaiqy/ffs4q1
title: geoBoundaries-2_0_0-CAN-ADM0-shp.zip

description: :unav
DOI: 10.7910/dvn/pgaiqy/ibb5i1
title: geoBoundaries-2_0_0-GUY-ADM0-metaData.txt

description: :unav
DOI: 10.7910/dvn/pgaiqy/kn75td
title: geoBoundaries-2_0_0-CHE-ADM2-shp.zip

description: :unav
DOI: 10.7910/dvn/pgaiqy/mgu1um
title: geoBoundaries-2_0_0-GUY-ADM1-all.zip

description: :unav
DOI: 10.7910/dvn/pgaiqy/mhqofp
title: geoBoundaries-2_0_0-GTM-ADM1-metaData.json

description: :unav
DOI: 10.7910/dvn/pgaiqy/o3zhcv
title: geoBoundaries-2_0_0-CHL-ADM2-metaData.json

description: :unav
DOI: 10.7910/dvn/pgaiqy/qcl1hq
title: geoBoundaries-2_0_0-GRD-ADM0-shp.zip

description: :unav
DOI: 10.7910/dvn/pgaiqy/qftp1t
title: geoBoundaries-2_0_0-HND-ADM2-shp.zip

description: :unav
DOI: 10.7910/dvn/pgaiqy/qwacie
title: geoBoundaries-2_0_0-HND-ADM1-metaData.json

description: :unav
DOI: 10.7910/dvn/pgaiqy/r7cy1j
title: geoBoundaries-2_0_0-GTM-ADM0-metaData.txt

description: :unav
DOI: 10.7910/dvn/pgaiqy/rucnui
title: geoBoundaries-2_0_0-MHL-ADM0-shp.zip

description: :unav
DOI: 10.7910/dvn/pgaiqy/ukxvun
title: geoBoundaries-2_0_0-MDG-ADM0.geojson

description: :unav
DOI: 10.7910/dvn/pgaiqy/uvvxku
title: geoBoundaries-2_0_0-CHE-ADM2.geojson

description: :unav
DOI: 10.7910/dvn/pgaiqy/v9oj3q
title: geoBoundaries-2_0_0-CHL-ADM2-metaData.txt

description: :unav
DOI: 10.7910/dvn/pgaiqy/vgvbvf
title: geoBoundaries-2_0_0-CAN-ADM1-shp.zip

description: :unav
DOI: 10.7910/dvn/pgaiqy/zgfudl
title: geoBoundaries-2_0_0-GTM-ADM0-shp.zip

description: :unav
DOI: 10.7910/dvn/pgaiqy/ziwb1o
title: geoBoundaries-2_0_0-CHL-ADM0-metaData.txt

description: :unav
DOI: 10.17632/y7p9tbh2nt.3
title: High-resolution tandem mass spectrometry dataset in leaves of foxglove plants

description: The first pair of true leaves from 5-week-old Digitalis seedlings grown under a 16-hour light period at 25 °C was collected in biological triplicates. 80% Methanol extract of freeze-dried leaf samples from Digitalis lanata and Digitalis purpurea were filtered through a 0.45 µl filter before injection to the LC/MS/MS system. The extract was first separated on a C18 reverse-phase column before enteringth Q-ExactiveTM analyser. A selected ion monitoring with MS2 (SIM-ddMS2) was used for data acquisition.
DOI: 10.7910/dvn/pgaiqy/23hu9n
title: geoBoundaries-2_0_0-GUY-ADM0-shp.zip

description: :unav
DOI: 10.7910/dvn/pgaiqy/2glmzn
title: geoBoundaries-2_0_0-HTI-ADM1.geojson

description: :unav
DOI: 10.7910/dvn/pgaiqy/31vuwf
title: geoBoundaries-2_0_0-CHL-ADM1.geojson

description: :unav
DOI: 10.7910/dvn/pgaiqy/3a08px
title: geoBoundaries-2_0_0-MDG-ADM1-metaData.txt

description: :unav
DOI: 10.7910/dvn/pgaiqy/3hzeg9
title: geoBoundaries-2_0_0-MDV-ADM0.geojson

description: :unav
DOI: 10.7910/dvn/pgaiqy/5ung0r
title: geoBoundaries-2_0_0-HUN-ADM0-shp.zip

description: :unav
DOI: 10.21227/f0hc-bw59
title: Pediatric Walking

description: Motion data acquisition using wearable sensors and their processing form an essential research topic with extensive applications in physiological motion monitoring, gait disorders detection, and motion patterns classification important both in pediatrics and neurology. This paper presents the use of accelerometric data and the global navigation satellite system (GNSS) for the body motion symmetry evaluation of children of different age, diagnosis, body mass index (BMI), and gender. Signals were recorded in natural conditions using mobile sensors as an alternative to data acquisition in the clinical environment. The datasets include signals acquired during walks of 35 children with motion trajectories monitored by the GNSS system. The proposed computational methodology based on accelerometric data analysis uses general methods of digital signal processing, feature extraction both in the time and frequency domains, and their classification. Selected evaluation methods include support vector machine, Bayesian, k-nearest neighbour methods, and neural networks. The goal of the study is in the comparison of the symmetry level estimated by the specialist and an analysis of the relation between the BMI and walking symmetry. The highest accuracy was achieved by a two-layer neural network for classification into two classes based on left and right body walking features to analyze different symmetry levels. Proposed methods demonstrate the abilities of general signal processing tools in rehabilitation, fitness movement monitoring, and neurology.
DOI: 10.5281/zenodo.10460958
title: Annex F - BMD summary table

description: Annex F presents a summary of the BMD analyses (BMRs of 1, 5, 10, and 50% as relative increase of the background incidence after adjustment for confounders). It includes important modelling outcomes such as BMD, BMDL, and BMDU values, and compares these results to the criteria specified in the EFSA BMD guidance (EFSA Scientific Committee, 2022). Study-specific details and BMD input parameters are also provided. 
description: EU; eng; xlsx; FEEDCO@efsa.europa.eu
DOI: 10.5281/zenodo.10460959
title: Annex F - BMD summary table

description: Annex F presents a summary of the BMD analyses (BMRs of 1, 5, 10, and 50% as relative increase of the background incidence after adjustment for confounders). It includes important modelling outcomes such as BMD, BMDL, and BMDU values, and compares these results to the criteria specified in the EFSA BMD guidance (EFSA Scientific Committee, 2022). Study-specific details and BMD input parameters are also provided. 
description: EU; eng; xlsx; FEEDCO@efsa.europa.eu
DOI: 10.5281/zenodo.10460951
title: Annex D2 - Exposure estimates and transformations (u-tiAs studies)

description: Annex D2 includes conversion of urine iAs concentrations to iAs exposures, as well as transformations of relative risk estimates to quantal data. 
description: EU; eng; xlsx; FEEDCO@efsa.europa.eu
DOI: 10.5281/zenodo.10460952
title: Annex D2 - Exposure estimates and transformations (u-tiAs studies)

description: Annex D2 includes conversion of urine iAs concentrations to iAs exposures, as well as transformations of relative risk estimates to quantal data. 
description: EU; eng; xlsx; FEEDCO@efsa.europa.eu
DOI: 10.5281/zenodo.10459766
title: Annex D1 - Exposure estimates and transformations (w-tiAs studies)

description: Annex D1 includes conversion of water iAs concentrations to iAs exposures, as well as transformations of relative risk estimates to quantal data. 
description: EU; eng; xlsx; FEEDCO@efsa.europa.eu;
DOI: 10.5281/zenodo.10459767
title: Annex D1 - Exposure estimates and transformations (w-tiAs studies)

description: Annex D1 includes conversion of water iAs concentrations to iAs exposures, as well as transformations of relative risk estimates to quantal data. 
description: EU; eng; xlsx; FEEDCO@efsa.europa.eu;
DOI: 10.5066/p9ys1x7p
title: USGS National and Global Oil and Gas Assessment Project- Gulf Coast Smackover Conventional Oil and Gas Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables

description: This data release contains the boundaries of assessment units and input data for the assessment of undiscovered conventional oil and gas resources in the Smackover formation in the U.S. Gulf Coast. The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type. The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as limits of reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are Assessment Units that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the Assessment Unit boundary. In addition to the shapefile, for U.S. assessments, allocation tables are provided that enumerate percentages assigned to various land categories. Machine-readable tables are also provided that contain the input and results for each assessment unit summarized in the USGS Fact Sheet. Methodology of assessments are documented in USGS Data Series 547 for continuous assessments (https://pubs.usgs.gov/ds/547) and USGS DDS69-D, Chapter 21 for conventional assessments (https://pubs.usgs.gov/dds/dds-069/dds-069-d/REPORTS/69_D_CH_21.pdf). See supplemental information for a detailed list of files included this data release.
DOI: 10.5281/zenodo.10522670
title: Codes for tracking of the microswarm in the vessels
title: Codes for microswarm tracking
DOI: 10.5281/zenodo.10522671
title: Codes for tracking of the microswarm in the vessels
title: Codes for microswarm tracking
DOI: 10.6084/m9.figshare.24162222
title: <b>Dataset for "Hydrological Impacts of </b><b>Vegetation Cover Change in China through Terrestrial Moisture Recycling</b><b>"</b>

description: Di Xie, Tsinghua University, xd20@mails.tsinghua.edu.cnPlease check the README.txt for a detailed description of the dataset.<br>
DOI: 10.6084/m9.figshare.24162222.v3
title: <b>Dataset for "Hydrological Impacts of </b><b>Vegetation Cover Change in China through Terrestrial Moisture Recycling</b><b>"</b>

description: Di Xie, Tsinghua University, xd20@mails.tsinghua.edu.cnPlease check the README.txt for a detailed description of the dataset.<br>
DOI: 10.6084/m9.figshare.24162222.v2
title: <b>Dataset for "Hydrological Impacts of </b><b>Vegetation Change in China through Terrestrial Moisture Recycling</b><b>"</b>

description: Di Xie, Tsinghua University, xd20@mails.tsinghua.edu.cnPlease check the README.txt for a detailed description of the dataset.<br>
DOI: 10.21227/e17c-rx87
title: High performance self-powered photodetectors based on graphene nanoribbons/Al2O3/InGaZnO heterojunctions

description: Self-powered photodetectors which can operate without external power sources hold immense promise in future photodetection systems owing to their zero-power features. To achieve high-performance self-powered optoelectronic devices, efficient separation of electron-hole pairs to generate sufficiently high photocurrents is critical, especially in the case of 2D and 3D hybrid devices. In this work, we successfully synthesized semiconducting graphene nanoribbons (GNRs) with a direct bandgap of 1.80 eV and employed them to construct GNR/Al2O3/IGZO heterostructure for a high-performance photodetector. Due to the built-in electric field in the heterojunctions, this self-powered photodetector exhibits remarkable performance, showing a responsivity of up to 68 mA/W, a detectivity of 8.34×1010 Jones, and rapid response times of 21/20 ms at zero bias. These results demonstrate promising potential of self-powered photodetectors based on GNR/IGZO p-n heterojunctions for applications in the field of optoelectronic devices.
DOI: 10.5281/zenodo.10499333
title: VisCello object for atlas of mRNA decay in C. elegans embryo

description: VisCello object for Peng et al 2024 C. elegans embryo mRNA decay atlas to allow for visualization of the three single-cell RNA-sequencing biological replicates in an integrated dataset.
DOI: 10.5281/zenodo.10499334
title: VisCello object for atlas of mRNA decay in C. elegans embryo

description: VisCello object for Peng et al 2024 C. elegans embryo mRNA decay atlas to allow for visualization of the three single-cell RNA-sequencing biological replicates in an integrated dataset.
DOI: 10.5281/zenodo.10220117
title: Data From: Theoretical Design of Imprinted Albumin against Foodborne Toxins

description: This dataset contains molecular dynamics trajectories of a single protein (bovine serum albumin (BSA)) and ligand-protein complexes (BSA–zearalenone (ZEA), BSA–deoxynivalenol (DON), BSA–aflatoxin B1 (AFB1), and BSA–kwakhurin (KWA)).
DOI: 10.5281/zenodo.10220118
title: Data From: Theoretical Design of Imprinted Albumin against Foodborne Toxins

description: This dataset contains molecular dynamics trajectories of a single protein (bovine serum albumin (BSA)) and ligand-protein complexes (BSA–zearalenone (ZEA), BSA–deoxynivalenol (DON), BSA–aflatoxin B1 (AFB1), and BSA–kwakhurin (KWA)).
DOI: 10.5281/zenodo.10522433
title: Data From: Theoretical Design of Imprinted Albumin against Foodborne Toxins

description: This dataset contains molecular dynamics trajectories of a single protein (bovine serum albumin (BSA)) and ligand-protein complexes (BSA–zearalenone (ZEA), BSA–deoxynivalenol (DON), BSA–aflatoxin B1 (AFB1), and BSA–kwakhurin (KWA)).
DOI: 10.5281/zenodo.10177061
title: D-PLACE dataset derived from Murdock et al. 1999 'Ethnographic Atlas'

description: Cite the source of the dataset as:




Murdock, G. P., R. Textor, H. Barry, III, D. R. White, J. P. Gray, and W. T. Divale. 1999. Ethnographic Atlas. World Cultures 10:24-136 (codebook)
DOI: 10.5281/zenodo.10522847
title: D-PLACE dataset derived from Murdock et al. 1999 'Ethnographic Atlas'

description: Cite the source of the dataset as:




Murdock, G. P., R. Textor, H. Barry, III, D. R. White, J. P. Gray, and W. T. Divale. 1999. Ethnographic Atlas. World Cultures 10:24-136 (codebook)
DOI: 10.22008/fk2/f5jpsj
title: Geologisk kort over Danmark, 1:50 000. Kortbladet 1313 II Kerteminde. Geologisk basisdatakort

description: Well data, hydrogeology, Danian, Selandian, Weichselian, Holocene
DOI: 10.5525/gla.researchdata.1412
title: Flow Induced Vibration in A Flexible Riser - measurements

description: Data from the three accelerometers is provided in csv format. Data from the eight strain gauges, four at the entrance and four at the exit of the riser are also provided in csv format. The raw voltages input to the DAQ system is also provided in csv format.
The primary purpose of the data is to underpin the article “Flow Induced Vibration in A Flexible Riser”. Additional purposes intended for the dataset include validation of modelling simulations, and examination of flow structures.
DOI: 10.22008/fk2/yh5iyd
title: Geologisk kort over Danmark, 1:50 000. Kortbladet 1213 II Fredericia. Geologisk basisdatakort

description: Well data, hydrogeology, Senonian, Danian, Paleocene, Eocene, Oligocene, Miocene, Elsterian, Holsteinian, Saalian, Eemian, Weichselian, Holocene
DOI: 10.3886/icpsr38452.v1
title: Oregon Youth Study Wave 25, 2008-2010
title: Version 1

description: The original Oregon Youth Study began 1983. The goal was to examine the etiology of antisocial behaviors in boys, with a view to designing preventive interventions within the context of the family and the school. This longitudinal study has expanded over the past few decades into an intergenerational study, retaining the original young men and including their partners and children. Wave 25 of the Oregon Youth Study targets males aged 32-36.
description: The goal of this study was to examine the etiology of antisocial behaviors in boys, with a view to designing preventive interventions within the context of the family and the school.
description: Boys and their families were recruited into the Oregon Youth Study (OYS) by inviting the entire fourth grade (ages 9-10 years) of boys from schools in neighborhoods with a higher-than-usual incidence of delinquency within the medium-sized Pacific Northwestern city to participate. The latter was assessed by analyzing the home addresses of youth committing delinquent acts compared with the school-boundary areas. Thus, the boys were at elevated risk for delinquency due to neighborhood characteristics (in a medium-sized city) but were not necessarily showing conduct problems at the time of recruitment. Juvenile court data regarding the frequency of delinquent episodes (by youth home address) reported by the police was used to calculate (for each of the 43 schools in the districts) the prevalence of delinquency in that neighborhood.
A cohort sequential design was employed for the OYS. Two successive birth cohorts of fourth-grade boys were sampled to permit the replication of results, although sample size is such that almost all studies have involved the two combined cohorts (which had highly similar characteristics).
description: The data includes variables on participants' mental health, how many children they have, self reported crimes, and suicide attempts.
description: Datasets: 
DS0: Study-Level Files
DS1: CES-Depression Public Data
DS2: Self-Report Delinquency Public Data
DS3: Fathering Questionnaire Public Data
DS4: Fathering Questionnaire Restricted Data
DS5: Suicide History Interview Restricted Data
description: Males between the ages of 32-36 living in Oregon.
description: For additional information please refer to the study website.
DOI: 10.22008/fk2/tzleka
title: Geologisk kort over Danmark, 1:500 000. Prækvartæroverfladens højdeforhold. Det danske landområde samt Kattegat, indre farvande og farvandet omkring Bornholm

description: Prækvartæroverfladens topografi, dvs højden af overfladen under aflejringerne fra de seneste istider, er fremstillet på baggrund af de geologiske data, der er indsamlet i GEUS' borearkiv. Derudover er anvendt seismiske data udført og indsamlet af blandt andre Geologisk Institut, Århus Universitet samt data fra Kort- og Matrikelstyrelsens (Geodatastyrelsen) topografiske kort. Datapakken indeholder en mpkx-fil til brug i ArcGIS Pro samt gpkg- og qgz-filer til brug i QGIS.
DOI: 10.25592/uhhfdm.12483
title: Dataset to: Environmental controls of dark CO2 fixation in wetland microbiota

description: This dataset supports the paper: "Environmental controls of dark CO<sub>2</sub> fixation in wetland microbiota". It contains genecluster abundances, annotations, taxonomy and membership for the metagenomic and metatranscriptomic analyses aswell as ASV tables for the 16S rRNA gene analyses.
description: This study was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) within the Research Training Group2530: "Biota-mediated effects on Carbon cycling in Estuaries" (project number 407270017; contribution to Universität Hamburg and Leibniz-Institut für Gewässerökologie und Binnenfischerei im Forschungsverbund Berlin e.V.). This work was supported by the DFG Research Infrastructure NGS_CC (project 407495230) as part of the Next Generation Sequencing Competence Network (project 423957469) and core funding from ETH Zürich to the Microbiome Research Laboratory headed by S.S. Transcriptome and 16S rRNA sequencing were carried out at the Competence Centre for Genomic Analysis (Kiel). Peter Mueller was supported by the Deutsche Forschungsgemeinschaft (DFG; German Research Foundation) in the framework of the Emmy Noether Program (502681570).
DOI: 10.6084/m9.figshare.24134886.v1
title: Dataset and analyses for "Decline and extinction of the Italian agile frog <i>Rana latastei</i> from core areas of its range"

description: The dataset "Rana_latastei_Monza_Park.txt" cointains counts of egg clutches of the Italian agile frog (<i>Rana latastei</i>) from 7 breeding sites in the Monza Park (Italy), over the timespan 2000-2023.<br>The file "Analyses Rana latastei - Monza Park.R" is the script used to run the statistical analyes present in the papaer "Dataset and analyses for "Decline and extinction of the Italian agile frog <i>Rana latastei</i> from core areas of its range".
DOI: 10.6084/m9.figshare.24134886
title: Dataset and analyses for "Decline and extinction of the Italian agile frog <i>Rana latastei</i> from core areas of its range"

description: The dataset "Rana_latastei_Monza_Park.txt" cointains counts of egg clutches of the Italian agile frog (<i>Rana latastei</i>) from 7 breeding sites in the Monza Park (Italy), over the timespan 2000-2023.<br>The file "Analyses Rana latastei - Monza Park.R" is the script used to run the statistical analyes present in the papaer "Dataset and analyses for "Decline and extinction of the Italian agile frog <i>Rana latastei</i> from core areas of its range".
DOI: 10.5287/ora-4j0ammg9d
title: Development of persistent joints for superconducting Bi-2212 coils

description: Dataset of inductive resistance measurements and related data for the paper titled "Development of persistent joints for superconducting Bi-2212 coils". All data is available in plain text format.
DOI: 10.5281/zenodo.7973625
title: Dataset: The Mononuclear Metal-Binding Site of Mo-Nitrogenase Is Not Required for activity

description: Dataset for publication: https://doi.org/10.1021/jacsau.3c00567
DOI: 10.5281/zenodo.7973626
title: Dataset: The Mononuclear Metal-Binding Site of Mo-Nitrogenase Is Not Required for activity

description: Dataset for publication: https://doi.org/10.1021/jacsau.3c00567
DOI: 10.5281/zenodo.8250712
title: Dataset: Bioelectrocatalytic CO2 Reduction by Mo-Dependent Formylmethanofuran Dehydrogenase

description: Supporting information for article https://doi.org/10.1002/anie.202311981
description: Netherlands Organization for Scientific Research and the Ministry of Education, SIAM gravitational program grant #024002002

Deutsche Forschungs Gesellschafts (DFG) Grant KU 3768/1-1