cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21258/1445452
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 797016
DOI: 10.21258/1445443
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 849297
DOI: 10.21258/1445444
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 851912
DOI: 10.21258/1445445
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 798685
DOI: 10.21258/1445446
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 825406
DOI: 10.21258/1445447
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 796772
DOI: 10.21258/1445437
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 861845
DOI: 10.21258/1445438
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 821370
DOI: 10.21258/1445439
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 833713
DOI: 10.21258/1445440
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 900323
DOI: 10.21258/1445441
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 827086
DOI: 10.21258/1445442
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 805063
DOI: 10.21258/1445431
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 807732
DOI: 10.21258/1445432
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 796486
DOI: 10.21258/1445433
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 824985
DOI: 10.21258/1445434
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 813209
DOI: 10.21258/1445435
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 850375
DOI: 10.21258/1445436
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 851945
DOI: 10.21258/1445424
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 893225
DOI: 10.21258/1445425
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 902520
DOI: 10.21258/1445426
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 875793
DOI: 10.21258/1445427
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 793726
DOI: 10.21258/1445428
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 819492
DOI: 10.21258/1445429
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 900978
DOI: 10.21258/1445390
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 836958
DOI: 10.21258/1445418
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 835253
DOI: 10.21258/1445419
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 826552
DOI: 10.21258/1445420
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 852822
DOI: 10.21258/1445421
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 837478
DOI: 10.21258/1445422
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 865164
DOI: 10.21258/1445414
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 824198
DOI: 10.21258/1445415
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 838888
DOI: 10.21258/1445416
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 802302
DOI: 10.21258/1445417
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899510
DOI: 10.21258/1445408
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 866834
DOI: 10.21258/1445409
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 825152
DOI: 10.21258/1445410
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 811316
DOI: 10.21258/1445411
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 868862
DOI: 10.21258/1445412
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 854042
DOI: 10.21258/1445413
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 810864
DOI: 10.21258/1445404
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 798851
DOI: 10.21258/1445405
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 805416
DOI: 10.21258/1445406
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 902939
DOI: 10.21258/1445407
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 893940
DOI: 10.21258/1445397
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898442
DOI: 10.21258/1445398
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 844432
DOI: 10.21258/1445399
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 868653
DOI: 10.21258/1445400
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 816690
DOI: 10.21258/1445401
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 902473
DOI: 10.21258/1445402
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 823170
DOI: 10.21258/1445403
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 818082
DOI: 10.21258/1445389
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 851865
DOI: 10.21258/1445391
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 823315
DOI: 10.21258/1445392
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 816359
DOI: 10.21258/1445393
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 803025
DOI: 10.21258/1445394
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 835549
DOI: 10.21258/1445395
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 809286
DOI: 10.21258/1445396
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 826522
DOI: 10.21258/1445382
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899940
DOI: 10.21258/1445383
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 800835
DOI: 10.5281/zenodo.7813616
title: poicephalus_rueppellii_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7813593
title: myiopsitta_luchsi_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7813592
title: myiopsitta_luchsi_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7813621
title: Estimating Modal Mineralogy using Raman Spectroscopy: Multivariate Analysis Models and Raman Cross-Section Proxies - Chapter 4 Data

description: I provide supplementary data for Chapter 4 of my dissertation including electron microprobe analysis data as well as the Raman spectra and associated metadata of the mineral end-members, the mineral-mineral mixtures, and the diamond-mineral mixtures.
DOI: 10.5281/zenodo.7813620
title: Estimating Modal Mineralogy using Raman Spectroscopy: Multivariate Analysis Models and Raman Cross-Section Proxies - Chapter 4 Data

description: I provide supplementary data for Chapter 4 of my dissertation including electron microprobe analysis data as well as the Raman spectra and associated metadata of the mineral end-members, the mineral-mineral mixtures, and the diamond-mineral mixtures.
DOI: 10.35078/itgx78
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Caratinga | Município: Alvinopolis

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.6084/m9.figshare.13000103
title: Stable isotope data for perch populations in German gravel pit lakes

description: These data were collected as part of the Baggersee project: https://www.igb-berlin.de/en/project/baggersee <br>Samples for stable isotope analysis were collected from 14 gravel pit lakes in Lower Saxony, Germany. Lakes' samples include fish (perch and cyprinids), zooplankton, benthic macroinvertebrates, and primary producers. <br>Analysis was completed by the Cornell Isotope Laboratory using a Thermo Delta V isotope ratio mass spectrometer interfaced to a NC2500 elemental analyzer. <br>all_isotope_data.csv: d15N and d13C values for all samples collected from 14 gravel pit lakes. TL indicates total length (mm) of perch individuals. <br>lakevar.2.csv: Lake data describing productivity, morphology, littoral structure. <br>weighted l2 by category.csv: Metabolic biomass of fish communties<br>si.analysis.repo.Rmd: Code for analysis investigating effects of productivity and littoral structure on ontogenetic niche shifts of perch communities. <br><br>
DOI: 10.25345/c5mw28q8d
title: MassIVE MSV000091670 - GNPS_Swedish Human Pooled Plasma LC-Orbitrap ESI+
title: Nontarget analysis by LC-HRMS (UHPLC Q EXACTIVE HF-X ORBITRAP) of Swedish human pooled plasma by two sample preparation methods (exposomics and control, each in triplicate), analysed by DIA positive mode [ESI+].
DOI: 10.6084/m9.figshare.13050386
title: Code and data for estimating fishing effort from spatially extensive data across a lake-rich landscape

description: This repository contains code and data used to answer the following questions: 1. When fit to spatially extensive data, can models detect annual, seasonal, and daily changes in fishing effort? 2. How do fishing effort estimates derived from extensive observations compare to those derived from intensive observation? 3. How well can models fit to extensive data predict total fishing effort on unobserved lakes? 4. How can these model-based methods be applied to predict fishing effort across a fisheries landscape? <br>All subfolders of code and data can be found in "code data output subfolders.zip"<br>v.3 update: This code pulls from the 'csvs' folder as well as from the 10/13/2020 version (v.3) of the MFE database found and downloaded here: https://caryinstitute.figshare.com/articles/MFE_database_Data_from_ecosystem_ecology_research_by_Jones_Solomon_and_collaborators_on_the_ecology_and_biogeochemistry_of_lakes_and_lake_organisms_in_the_Upper_Midwest_USA/7438598 <br>See the "ReadMe.txt" file for code order and metadata.<br>
DOI: 10.6084/m9.figshare.13050386.v4
title: Code and data for estimating fishing effort from spatially extensive data across a lake-rich landscape

description: This repository contains code and data used to answer the following questions: 1. When fit to spatially extensive data, can models detect annual, seasonal, and daily changes in fishing effort? 2. How do fishing effort estimates derived from extensive observations compare to those derived from intensive observation? 3. How well can models fit to extensive data predict total fishing effort on unobserved lakes? 4. How can these model-based methods be applied to predict fishing effort across a fisheries landscape? <br>All subfolders of code and data can be found in "code data output subfolders.zip"<br>v.3 update: This code pulls from the 'csvs' folder as well as from the 10/13/2020 version (v.3) of the MFE database found and downloaded here: https://caryinstitute.figshare.com/articles/MFE_database_Data_from_ecosystem_ecology_research_by_Jones_Solomon_and_collaborators_on_the_ecology_and_biogeochemistry_of_lakes_and_lake_organisms_in_the_Upper_Midwest_USA/7438598 <br>See the "ReadMe.txt" file for code order and metadata.<br>
DOI: 10.6084/m9.figshare.22572757
title: Choice experiment of Wisconsin anglers--Anticipating response to climate-driven shifts in species composition

description: This data was obtained from a survey and choice experiment distributed to holders of Wisconsin resident recreational fishing licenses. Respondents were asked to allocate 10 days of fishing to hypothetical fishing sites that varied in travel time, catch rates, and maximum sizes for walleye, bluegill, and largemouth bass. The R code included in this repository was used to fit latent class multinomial logit models to the choice data, estimate mean willingness to travel to achieve higher catch rates and maximum sizes of each fish species, and produce predictions of changes in angler behavior under a simulation of walleye decline.
DOI: 10.6084/m9.figshare.22582057
title: Replication data for 'Worldwide quantification of national methane emissions from fossil fuel exploitation using high-resolution inversions of satellite data'

description: This is the replication data for Shen et al. (2023) Worldwide quantification of national methane emissions from fossil fuel exploitation using high-resolution inversions of satellite data. If you have any questions, you can contact lshen@pku.edu.cn
DOI: 10.6084/m9.figshare.22582057.v1
title: Replication data for 'Worldwide quantification of national methane emissions from fossil fuel exploitation using high-resolution inversions of satellite data'

description: This is the replication data for Shen et al. (2023) Worldwide quantification of national methane emissions from fossil fuel exploitation using high-resolution inversions of satellite data. If you have any questions, you can contact lshen@pku.edu.cn
DOI: 10.25810/4c3b-b819.59
title: World Newspaper Coverage of Climate Change or Global Warming, 2004-2023 - February 2023

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5281/zenodo.7802555
title: Data to: "Despite impaired binocular function, binocular disparity integration across the visual field is spared in normal aging and glaucoma"

description: This record contains experimental and analysis scripts (written in Matlab) as well as raw and processed data to reproduce the results shown in: Maiello G., & Kwon, M. (in press) Despite impaired binocular function, binocular disparity integration across the visual field is spared in normal aging and glaucoma. IOVS A preprint version of the manuscript is available at: https://doi.org/10.1101/2022.11.28.518250
description: The authors would like to thank Marguerite Devereux, Rong Liu, and Lindsay Washington for their assistance with subject recruitment and data collection. This research was supported by the DFG (German Research Foundation: project No. 222641018-SFB/TRR 135 TP C1), NIH/NEI Grant R01 EY027857, and Research to Prevent Blindness (RPB) / Lions' Clubs International Foundation (LCIF) Low Vision Research Award.
DOI: 10.5281/zenodo.7802554
title: Data to: "Despite impaired binocular function, binocular disparity integration across the visual field is spared in normal aging and glaucoma"

description: This record contains experimental and analysis scripts (written in Matlab) as well as raw and processed data to reproduce the results shown in: Maiello G., & Kwon, M. (in press) Despite impaired binocular function, binocular disparity integration across the visual field is spared in normal aging and glaucoma. IOVS A preprint version of the manuscript is available at: https://doi.org/10.1101/2022.11.28.518250
description: The authors would like to thank Marguerite Devereux, Rong Liu, and Lindsay Washington for their assistance with subject recruitment and data collection. This research was supported by the DFG (German Research Foundation: project No. 222641018-SFB/TRR 135 TP C1), NIH/NEI Grant R01 EY027857, and Research to Prevent Blindness (RPB) / Lions' Clubs International Foundation (LCIF) Low Vision Research Award.
DOI: 10.5519/qd.8zege1y8
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (387 records)
DOI: 10.5281/zenodo.7813675
title: psittacara_erythrogenys_zanfona_1.fasta.gz

description: .
DOI: 10.6084/m9.figshare.22581868
title: Input files for Simulation-based insights into community uniqueness within fragmented landscapes

description: The folders include all the files needed to run 50 simulations, which are located in folders named as required by the CDMetaPOP program.
DOI: 10.6084/m9.figshare.22581868.v1
title: Input and output files from Lozada et.al. Simulation-based insights into community uniqueness within fragmented landscapes.

description: Input files.zip includes all the files needed to perform the 50 simulations, and are located in folders named as required by the CDMetaPOP program. The Output file includes the files obtained for the 10 time steps analyzed for each of the 50 landscapes in the study. All metrics were calculated from the latter.
DOI: 10.5281/zenodo.7813674
title: psittacara_erythrogenys_zanfona_1.fasta.gz

description: .
DOI: 10.25345/c5h41jx4k
title: MassIVE MSV000091671 - GNPS_Swedish Human Pooled Plasma LC-Orbitrap ESI-
title: Nontarget analysis by LC-HRMS (UHPLC Q Exactive HF-X Orbitrap) of Swedish human pooled plasma by two sample preparation methods (exposomics and control, each in triplicate), analysed by DIA negative mode [ESI-].
DOI: 10.5281/zenodo.7701958
title: Nabro 3D velocity model produced by the FMTOMO code

description: These files relate to "Seismic tomography of Nabro caldera, Eritrea: insights into the magmatic and hydrothermal systems of a recently erupted volcano" by Gauntlett et al., 2023. Original seismic waveforms are from the Nabro Urgency Array (Hammond et al., 2011; https://doi.org/10.7914/SN/4H_2011), which is publicly available through IRIS Data Services (http://service.iris.edu/fdsnws/dataselect/1/). See Hammond et al. (2011) for further details on waveform data access and availability. Sources were originally located by Lapins et al. (2021), and the full catalogue is archived here (Lapins, 2022). The FMTOMO package is freely available to download at http://rses.anu.edu.au/~nick/fmtomo.html. This repository contains three 3D velocity models: vp_model.out vs_model.out vpvs_model.out These plain text files comprise the output of the FMTOMO tomography algorithm, which inverts for 3D P-wave velocity and S-wave velocity Vp and Vs) structure and Vp/Vs ratio for a grid centred around Nabro volcano. The velocity is given in km/s for Vp and Vs, and the values are dimensionless for Vp/Vs ratio. The grid is specified in the first four lines of the file: Line 1: for these data, this line will always hold the values `1' and `1'. Line 2: the number of grid nodes in radius (depth), latitude and longitude. Line 3: the radial (depth) node spacing in km, latitude spacing in radians, longitude spacing in radians. Line 4: the grid origin radius (km), latitude (radians) and longitude (radians). Each node of the grid has a P-wave, S-wave and Vp/Vs ratio associated with it, which is specified in lines 5 onward. Line 5 - 55229: Value of Vp, Vs or Vp/Vs (given by file name) at each node. The values loop over the grid, with longitude varying first, and radius last. The first node is at the grid origin. The second node is at the grid origin, plus the grid spacing in longitude. This continues for the `nlon` longitude nodes. The `nlon+1`the point is then at the grid origin, plus the latitude spacing; and so on. If there are `nr` radial nodes, `nlat` latitude nodes and `nlon` longitude nodes, then the following pseudocode shows how to read lines 5 forwards using the imaginary function `readline`, which reads a single real value from a plain text file and moves to the next line: ``` # Comment: have already read the first four lines for ir in 1:nr: for ilat in 1:nlat: for ilon in 1:nlon: grid[ir,ilat,ilon] = readline(file_handle) ``` The repository also contains the event catalogue, with hypocenter locations after relocation by the FMTOMO code: 4. event_catalogue.csv The columns are depth in km (negative values indicate depths below sea level, positive values indicate depths above sea level), latitude in degrees, longitude in degrees, depth error (km), latitude error (km), longitude error (km).
DOI: 10.5281/zenodo.7701957
title: Nabro 3D velocity model produced by the FMTOMO code

description: These files relate to "Seismic tomography of Nabro caldera, Eritrea: insights into the magmatic and hydrothermal systems of a recently erupted volcano" by Gauntlett et al., 2023. Original seismic waveforms are from the Nabro Urgency Array (Hammond et al., 2011; https://doi.org/10.7914/SN/4H_2011), which is publicly available through IRIS Data Services (http://service.iris.edu/fdsnws/dataselect/1/). See Hammond et al. (2011) for further details on waveform data access and availability. Sources were originally located by Lapins et al. (2021), and the full catalogue is archived here (Lapins, 2022). The FMTOMO package is freely available to download at http://rses.anu.edu.au/~nick/fmtomo.html. This repository contains three 3D velocity models: vp_model.out vs_model.out vpvs_model.out These plain text files comprise the output of the FMTOMO tomography algorithm, which inverts for 3D P-wave velocity and S-wave velocity Vp and Vs) structure and Vp/Vs ratio for a grid centred around Nabro volcano. The velocity is given in km/s for Vp and Vs, and the values are dimensionless for Vp/Vs ratio. The grid is specified in the first four lines of the file: Line 1: for these data, this line will always hold the values `1' and `1'. Line 2: the number of grid nodes in radius (depth), latitude and longitude. Line 3: the radial (depth) node spacing in km, latitude spacing in radians, longitude spacing in radians. Line 4: the grid origin radius (km), latitude (radians) and longitude (radians). Each node of the grid has a P-wave, S-wave and Vp/Vs ratio associated with it, which is specified in lines 5 onward. Line 5 - 55229: Value of Vp, Vs or Vp/Vs (given by file name) at each node. The values loop over the grid, with longitude varying first, and radius last. The first node is at the grid origin. The second node is at the grid origin, plus the grid spacing in longitude. This continues for the `nlon` longitude nodes. The `nlon+1`the point is then at the grid origin, plus the latitude spacing; and so on. If there are `nr` radial nodes, `nlat` latitude nodes and `nlon` longitude nodes, then the following pseudocode shows how to read lines 5 forwards using the imaginary function `readline`, which reads a single real value from a plain text file and moves to the next line: ``` # Comment: have already read the first four lines for ir in 1:nr: for ilat in 1:nlat: for ilon in 1:nlon: grid[ir,ilat,ilon] = readline(file_handle) ``` The repository also contains the event catalogue, with hypocenter locations after relocation by the FMTOMO code: 4. event_catalogue.csv The columns are depth in km (negative values indicate depths below sea level, positive values indicate depths above sea level), latitude in degrees, longitude in degrees, depth error (km), latitude error (km), longitude error (km).
DOI: 10.5281/zenodo.7813690
title: psittacula_columboides_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7813689
title: psittacula_columboides_zanfona_1.fasta.gz

description: .
DOI: 10.5066/p9eg3u87
title: Restoration and Conservation Opportunity Maps for the conterminous U.S. (CONUS)

description: Nature-based solutions is a leading policy option for mitigating climate change. We mapped areas of potential restoration and conservation opportunities in the conterminous U.S. (CONUS). The potential for five scenarios were examined: increasing forest cover in urban centers, restoring historically forested areas that have been converted to grasslands, conserving pristine grasslands, rewetting peatlands, and conserving vulnerable tidal wetlands.