cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48529/bsaw-7187
title: Enterprise Survey 2019
title: MNG_2019_ES_v01_M
DOI: 10.48529/q3gb-5045
title: World Bank Group Country Survey 2019
title: BFA_2019_WBCS_v01_M
DOI: 10.48529/bf4q-y294
title: Enterprise Survey 2019
title: RUS_2019_ES_v01_M
DOI: 10.48529/dqx5-2d93
title: Enterprise Survey 2019
title: KGZ_2019_ES_v01_M
DOI: 10.48529/g7wd-0p87
title: Enterprise Survey 2019
title: ITA_2019_ES_v01_M
DOI: 10.48529/4rpq-v962
title: Enterprise Survey 2019
title: ALB_2019_ES_v01_M
DOI: 10.48529/5knw-g959
title: Enterprise Survey 2019
title: CYP_2019_ES_v01_M
DOI: 10.48529/7gdx-4b95
title: Enterprise Survey 2018
title: BLR_2018_ES_v01_M
DOI: 10.48529/bq0a-3752
title: Enterprise Survey 2019
title: WBG_2019_ES_v01_M
DOI: 10.48529/fyb9-gv77
title: Enterprise Survey 2018
title: GRC_2018_ES_v01_M
DOI: 10.48529/qhms-9x83
title: Informal Sector Business Survey 2019
title: LAO_2019_ISBS_v01_M
DOI: 10.48529/32eh-jz44
title: World Bank Group Country Survey 2019
title: JAM_2019_WBCS_v01_M
DOI: 10.48529/w2td-xa12
title: World Bank Group Country Survey 2020
title: MNG_2020_WBCS_v01_M
DOI: 10.48529/8qcn-1m23
title: World Bank Group Country Survey 2019
title: MUS_2019_WBCS_v01_M
DOI: 10.48529/gh4b-9174
title: Enterprise Survey 2018
title: LAO_2018_ES_v01_M
DOI: 10.48529/01j0-dp29
title: World Bank Group Country Survey 2019
title: MAR_2019_WBCS_v01_M
DOI: 10.48529/m3sc-ss05
title: World Bank Group Country Survey 2019
title: ZAF_2019_WBCS_v01_M
DOI: 10.48529/k7we-tr60
title: World Bank Group Country Survey 2019
title: HND_2019_WBCS_v01_M
DOI: 10.48529/dtyy-jx85
title: Enterprise Survey 2018
title: SUR_2018_ES_v01_M
DOI: 10.48529/8n65-eh21
title: Enterprise Survey 2018
title: MOZ_2018_ES_v01_M
DOI: 10.48529/hapf-ez57
title: Informal Business Sector Survey 2016
title: ZWE_2017_ISBS_v01_M
DOI: 10.48529/vx58-y391
title: Informal Business Sector Survey 2018
title: MOZ_2018_ISBS_v01_M
DOI: 10.48529/dqbb-tg07
title: Micro-Enterprise Survey 2018
title: MOZ_2018_MES_v01_M
DOI: 10.48529/187x-bs38
title: World Bank Group Country Survey 2019
title: RWA_2019_WBCS_v01_M
DOI: 10.48529/ed8h-1k92
title: World Bank Group Country Survey 2019
title: COD_2019_WBCS_v01_M
DOI: 10.48529/ta7e-0j70
title: World Bank Group Country Survey 2019
title: PER_2019_WBCS_v01_M
DOI: 10.48529/ng06-1p63
title: World Bank Group Country Survey 2019
title: CMR_2019_WBCS_v01_M
DOI: 10.48529/hy1s-1127
title: World Bank Group Country Survey 2019
title: PRY_2019_WBCS_v01_M
DOI: 10.48529/b4zc-w626
title: World Bank Group Country Survey 2019
title: ARG_2019_WBCS_v01_M
DOI: 10.48529/51tv-yf35
title: World Bank Group Country Survey 2019
title: CRI_2019_WBCS_v01_M
DOI: 10.48529/ypnp-nq23
title: World Bank Group Country Survey 2019
title: LKA_2019_WBCS_v01_M
DOI: 10.48529/yana-sn59
title: Enterprise Survey 2019
title: HRV_2019_ES_v01_M
DOI: 10.48529/spbs-cz98
title: Enterprise Survey 2019
title: SRB_2019_ES_v01_M
DOI: 10.48529/d4mg-ey68
title: Enterprise Survey 2019
title: TJK_2019_ES_v01_M
DOI: 10.48529/23c5-xc81
title: Enterprise Survey 2019
title: MDA_2019_ES_v01_M
DOI: 10.48529/2nsg-3f97
title: World Bank Group Country Survey 2019
title: COL_2019_WBCS_v01_M
DOI: 10.48529/aqtj-mv14
title: Enterprise Survey 2019
title: UZB_2019_ES_v01_M
DOI: 10.48529/4ct7-k486
title: World Bank Group Country Survey 2019
title: GHA_2019_WBCS_v01_M
DOI: 10.48529/kzve-kz31
title: World Bank Group Country Survey 2019
title: NER_2019_WBCS_v01_M
DOI: 10.48529/4st7-7822
title: World Bank Group Country Survey 2019
title: PAN_2019_WBCS_v01_M
DOI: 10.48529/15p4-k670
title: Enterprise Survey 2019
title: GEO_2019_ES_v01_M
DOI: 10.48529/hfv8-rj62
title: World Bank Group Country Survey 2019
title: STP_2019_WBCS_v01_M
DOI: 10.48529/k3nd-8s89
title: Enterprise Survey 2019
title: KAZ_2019_ES_v01_M
DOI: 10.48529/4481-h337
title: Micro-Enterprise Survey 2019
title: GEO_2019_MES_v01_M
DOI: 10.48529/hcn5-6z27
title: Enterprise Survey 2019
title: JOR_2019_ES_v01_M
DOI: 10.48529/k6vk-8t63
title: Enterprise Survey 2019
title: LVA_2019_ES_v01_M
DOI: 10.48529/a81z-1a61
title: Enterprise Survey 2019
title: MKD_2019_ES_v01_M
DOI: 10.48529/kzxb-t628
title: Enterprise Survey 2019
title: POL_2019_ES_v01_M
DOI: 10.48529/f6ns-wn39
title: Enterprise Survey 2019
title: UKR_2019_ES_v01_M
DOI: 10.48529/vd84-4j51
title: Enterprise Survey 2019
title: SVN_2019_ES_v01_M
DOI: 10.48529/e0nn-2632
title: Enterprise Survey 2019
title: KSV_2019_ES_v01_M
DOI: 10.48529/q5xp-jm46
title: Enterprise Survey 2019
title: MAR_2019_ES_v01_M
DOI: 10.48529/xv1d-pd45
title: Enterprise Survey 2019
title: RWA_2019_ES_v01_M
DOI: 10.48529/4nvs-6w81
title: Enterprise Survey 2019
title: LTU_2019_ES_v01_M
DOI: 10.48529/6ys1-hq51
title: Micro-Enterprise Survey 2019
title: ZMB_2019_MES_v01_M
DOI: 10.48529/79rc-gm62
title: Enterprise Survey 2009-2019, Panel Data
title: MKD_2009-2019_ES-P_v01_M
DOI: 10.48529/5xtd-0m08
title: Enterprise Survey 2019
title: SVK_2019_ES_v01_M
DOI: 10.48529/ry6h-ym55
title: Enterprise Survey 2019
title: LBN_2019_ES_v01_M
DOI: 10.48529/rsfp-bj02
title: Micro-Enterprise Survey 2019
title: ARM_2019_MS_v01_M
DOI: 10.48529/e5ac-w656
title: Enterprise Survey 2019
title: BGR_2019_ES_v01_M
DOI: 10.48529/884y-b704
title: Enterprise Survey 2019
title: SOM_2019_ES_v01_M
DOI: 10.48529/gbr3-6k76
title: Enterprise Survey 2019
title: HTI_2019_ES_v01_M
DOI: 10.48529/yvnx-va08
title: Enterprise Survey 2019
title: BIH_2019_ES_v01_M
DOI: 10.48529/y2np-s650
title: Micro-Enterprise Survey 2019
title: SOM_2019_MS_v01_M
DOI: 10.48529/ve99-k995
title: Informal Sector Business Survey 2019
title: SOM_2019_ISBS_v01_M
DOI: 10.48529/8fef-3h94
title: Enterprise Survey 2009-2019, Panel Data
title: SVN_2009-2019_ES-P_v01_M
DOI: 10.48529/4ssm-qf88
title: World Bank Group Country Survey 2020
title: TUR_2020_WBCS_v01_M
DOI: 10.48529/sx7p-w254
title: World Bank Group Country Survey 2020
title: VNM_2020_WBCS_v01_M
DOI: 10.48529/3pf0-3p79
title: Enterprise Survey 2008-2019, Panel Data
title: UZB_2008-2019_ES-P_v01_M
DOI: 10.48529/2hn4-w512
title: Enterprise Survey 2019, Turkish Cypriot Community
title: TUR_2019_ES-CC_v01_M
DOI: 10.48529/hah7-hn49
title: Enterprise Survey 2019
title: ZMB_2019_ES_v01_M
DOI: 10.48529/h504-7j94
title: World Bank Group Country Survey 2020
title: ALB_2020_WBCS_v01_M
DOI: 10.48529/d7ej-9s55
title: World Bank Group Country Survey 2020
title: CAF_2020_WBCS_v01_M
DOI: 10.48529/2w2q-n471
title: World Bank Group Country Survey 2020
title: CHL_2020_WBCS_v01_M
DOI: 10.48529/rpnc-3591
title: World Bank Group Country Survey 2020
title: MMR_2020_WBCS_v01_M
DOI: 10.48529/637v-qa54
title: World Bank Group Country Survey 2020
title: MEX_2020_WBCS_v01_M
DOI: 10.48529/aand-jn28
title: World Bank Group Country Survey 2020
title: TZA_2020_WBCS_v01_M
DOI: 10.48529/mhje-0071
title: World Bank Group Country Survey 2020
title: CPV_2020_WBCS_v01_M
DOI: 10.48529/80tn-1n26
title: World Bank Group Country Survey 2020
title: SYC_2020_WBCS_v01_M
DOI: 10.48529/vkxt-1862
title: World Bank Group Country Survey 2020
title: ROU_2020_WBCS_v01_M
DOI: 10.48529/pf7v-tz68
title: World Bank Group Country Survey 2020
title: ZWE_2020_WBCS_v01_M
DOI: 10.48529/4ay9-3q38
title: World Bank Group Country Survey 2020
title: TLS_2020_WBCS_v01_M
DOI: 10.48529/ny84-hb34
title: World Bank Group Country Survey 2021
title: BIH_2021_WBCS_v01_M
DOI: 10.48529/m8zy-a293
title: World Bank Group Country Survey 2021
title: AFG_2021_WBCS_v01_M
DOI: 10.48529/mdtr-pm81
title: World Bank Group Country Survey 2021
title: LSO_2021_WBCS_v01_M
DOI: 10.48529/xqm1-3f55
title: World Bank Group Country Survey 2021
title: IDN_2021_WBCS_v01_M
DOI: 10.48529/p0t6-a672
title: World Bank Group Country Survey 2021
title: MDV_2021_WBCS_v01_M
DOI: 10.48529/eay4-dz21
title: World Bank Group Country Survey 2021
title: TCD_2021_WBCS_v01_M
DOI: 10.48529/pbn4-qg08
title: World Bank Group Country Survey 2020
title: URY_2020_WBCS_v01_M
DOI: 10.48529/evbe-zh39
title: World Bank Group Country Survey 2020
title: GNQ_2020_WBCS_v01_M
DOI: 10.48529/2ap1-pn42
title: World Bank Group Country Survey 2020
title: SRB_2020_WBCS_v01_M
DOI: 10.48529/y21d-0809
title: World Bank Group Country Survey 2020
title: MLI_2020_WBCS_v01_M
DOI: 10.48529/h9fc-aw91
title: World Bank Group Country Survey 2020
title: GAB_2020_WBCS_v01_M
DOI: 10.48529/we1j-6m08
title: World Bank Group Country Survey 2021
title: RUS_2021_WBCS_v02_M
DOI: 10.48529/cnt8-gp44
title: World Bank Group Country Survey 2021
title: KAZ_2021_WBCS_v01_M
DOI: 10.48529/fa5a-yd07
title: Enterprise Survey Follow-up on COVID-19 2020, Round 1
title: SOM_2020_ES-COVID19-R1_v01_M
DOI: 10.48529/z0gd-w331
title: Enterprise Survey Follow-up on COVID-19 2020, Round 2
title: SOM_2020_ES-COVID19-R2_v01_M
DOI: 10.48529/5bkb-hp95
title: Micro-Enterprise Survey Follow-up on COVID-19 2020, Round 1
title: SOM_2020_MS-COVID19-R1_v01_M
DOI: 10.48529/0qj5-sz69
title: Enterprise Survey Follow-up on COVID-19 2021, Round 3
title: SOM_2021_ES-COVID19-R3_v01_M
DOI: 10.48529/sxzj-g246
title: Micro-Enterprise Survey Follow-up on COVID-19 2020, Round 2
title: SOM_2020_MS-COVID19-R2_v01_M
DOI: 10.48529/faa3-zh42
title: Enterprise Survey Follow-up on COVID-19 2020, Round 1
title: ZMB_2020_ES-COVID19-R1_v01_M
DOI: 10.48529/eaxt-2y81
title: Micro-Enterprise Survey Follow-up on COVID-19 2021, Round 3
title: SOM_2021_MS-COVID19-R3_v01_M
DOI: 10.48529/5p8n-fp09
title: Enterprise Survey Follow-up on COVID-19 2020, Round 2
title: ZMB_2020_ES-COVID19-R2_v01_M
DOI: 10.48529/gz8y-e363
title: Enterprise Survey Follow-up on COVID-19 2021, Round 3
title: ZMB_2021_ES-COVID19-R3_v01_M
DOI: 10.48529/qcgb-c278
title: Enterprise Survey 2020
title: DNK_2020_ES_v01_M
DOI: 10.48529/ez84-0e45
title: Enterprise Survey Follow-up on COVID-19 2020, Round 1
title: CYP_2020_ES-COVID19-R1_v01_M
DOI: 10.48529/gv03-pp51
title: Enterprise Survey Follow-up on COVID-19 2020, Round 2
title: CYP_2020_ES-COVID19-R2_v01_M
DOI: 10.48529/v7dk-ca68
title: Enterprise Survey Follow-up on COVID-19 2021, Round 3
title: CYP_2021_ES-COVID19-R3_v01_M
DOI: 10.48529/y2jf-4437
title: Enterprise Survey Follow-up on COVID-19 2021, Round 2
title: ZWE_2021_ES-COVID19-R2_v01_M
DOI: 10.48529/axjy-3g68
title: Enterprise Survey Follow-up on COVID-19 2020, Round 1
title: ZWE_2020_ES-COVID19-R1_v01_M
DOI: 10.48529/mmcb-8w06
title: Informal Businesses COVID-19 Impact Survey 2021, Round 1
title: ZWE_2021_ISBS-COVID19-R1_v01_M
DOI: 10.48529/7dk1-kn47
title: Financial Development and Structure 1960-2010
title: WLD_1960-2010_FDS_v02_M
DOI: 10.6084/m9.figshare.17197901.v1
title: Fasta contigs derived from external transcriptomic assemblies

description: Nematods rRNA sequences.
DOI: 10.34740/kaggle/dsv/3875787
title: Multi Label Image Classification Dataset
DOI: 10.13020/3new-m828
title: Spring 2022 University of Minnesota College of Liberal Arts First-Year Student Surveys
DOI: 10.6084/m9.figshare.17294216.v1
title: Third-party NGS-based original assemblies and pre-fetched contigs (fasta)

description: Eight nematode species rDNA assembled from raw NGS reads or fetched from figshare-deposited assemblies
DOI: 10.6084/m9.figshare.17294216.v2
title: Third-party NGS-based original assemblies and pre-fetched contigs (fasta)

description: Eight nematode species rDNA assembled from raw NGS reads or fetched from figshare-deposited assemblies
DOI: 10.34740/kaggle/dsv/3875814
title: Multi Label Image Classification Dataset
DOI: 10.3886/e173861
title: Replication materials for: Trends in the publication of experimental economics articles

description: We report data on the experimental articles published from 2000 to 2021 in seven leading general-interest economics journals. We also look at time trends in the characteristics of the published experimental articles, including citations and the nationality of the authors. We find an overall increasing trend in the publication of non-lab experiments in all journals. By contrast, the share of lab experiments has more than halved in the AER and remained low in other Top 5 journals. The diverging trends for non-lab and lab experiments are not universal as the shares of both have increased in two other high-ranking economics journals (JEEA and EJ). We also observe some heterogeneities in publication, citations, rankings, and locations of authors' affiliations across journals and types of experiments.
DOI: 10.3886/e173861v1
title: Replication materials for: Trends in the publication of experimental economics articles

description: We report data on the experimental articles published from 2000 to 2021 in seven leading general-interest economics journals. We also look at time trends in the characteristics of the published experimental articles, including citations and the nationality of the authors. We find an overall increasing trend in the publication of non-lab experiments in all journals. By contrast, the share of lab experiments has more than halved in the AER and remained low in other Top 5 journals. The diverging trends for non-lab and lab experiments are not universal as the shares of both have increased in two other high-ranking economics journals (JEEA and EJ). We also observe some heterogeneities in publication, citations, rankings, and locations of authors' affiliations across journals and types of experiments.
DOI: 10.5281/zenodo.6595852
title: NAAMES_IFCB_diatoms_image_features

description: This text file (NAAMES_IFCB_diatoms_image_features.txt) contains data on all Imaging FlowCytobot (IFCB) images identified as diatoms (either individual cells or chains) during the North Atlantic Aerosol and Marine Ecosystem Study (NAAMES). Data are from the western North Atlantic, 2015-2018; see Behrenfeld et al. (2019) <em>Frontiers in Marine Science </em>for expedition details. The images were collected using an IFCB deployed onboard the ship and connected to the flowing sea-water system with intake at ~5 m depth. The images were classified and the data here identified as diatoms using a convolutional neural network with 90% accuracy. See https://github.com/emmettFC/selected-projects/blob/master/plankton_vision/README.md for details of the neural network development and testing. Data are used in the manuscript "Plankton Imagery Data Inform Satellite-Based Estimates of Diatom Carbon", Geophysical Research Letters, 49, e2022GL098076. https://doi. org/10.1029/2022GL098076. Additional data from the NAAMES expedition are available at https://seabass.gsfc.nasa.gov/naames.
DOI: 10.5281/zenodo.6595851
title: NAAMES_IFCB_diatoms_image_features

description: This text file (NAAMES_IFCB_diatoms_image_features.txt) contains data on all Imaging FlowCytobot (IFCB) images identified as diatoms (either individual cells or chains) during the North Atlantic Aerosol and Marine Ecosystem Study (NAAMES). Data are from the western North Atlantic, 2015-2018; see Behrenfeld et al. (2019) <em>Frontiers in Marine Science </em>for expedition details. The images were collected using an IFCB deployed onboard the ship and connected to the flowing sea-water system with intake at ~5 m depth. The images were classified and the data here identified as diatoms using a convolutional neural network with 90% accuracy. See https://github.com/emmettFC/selected-projects/blob/master/plankton_vision/README.md for details of the neural network development and testing. Data are used in the manuscript "Plankton Imagery Data Inform Satellite-Based Estimates of Diatom Carbon", Geophysical Research Letters, 49, e2022GL098076. https://doi. org/10.1029/2022GL098076. Additional data from the NAAMES expedition are available at https://seabass.gsfc.nasa.gov/naames.
DOI: 10.5281/zenodo.6763205
title: Marbled crayfish genes, Stein et al (2022)

description: Sequence archive for newly identified genes in marbled crayfish discussed in the research publication Frontiers | Combining old and new tricks: the study of genes, neurons, and behavior in crayfish | Physiology (frontiersin.org). File "MC genes_newer.fasta" is a FASTA file containing the mRNA sequence for genes putatively involved in eye development and gap junction formation. File "Supplementary" contains the same gene sequences with additional information about genome sequencing and assembly methods.
DOI: 10.5281/zenodo.6763204
title: Marbled crayfish genes, Stein et al (2022)

description: Sequence archive for newly identified genes in marbled crayfish discussed in the research publication Frontiers | Combining old and new tricks: the study of genes, neurons, and behavior in crayfish | Physiology (frontiersin.org). File "MC genes_newer.fasta" is a FASTA file containing the mRNA sequence for genes putatively involved in eye development and gap junction formation. File "Supplementary" contains the same gene sequences with additional information about genome sequencing and assembly methods.
DOI: 10.5281/zenodo.6772942
title: Financial literacy and its impact on insurance investment

description: The research on financial literacy and its impact on fund investments in insurance products is done by surveying the citizens of Montenegro, Serbia and Bosnia and Herzegovina in the first half of 2021, via Viber, e-mail and social networks. Survey respondents completed 3.238 questionnaires with correct answers.
DOI: 10.5281/zenodo.6772941
title: Financial literacy and its impact on insurance investment

description: The research on financial literacy and its impact on fund investments in insurance products is done by surveying the citizens of Montenegro, Serbia and Bosnia and Herzegovina in the first half of 2021, via Viber, e-mail and social networks. Survey respondents completed 3.238 questionnaires with correct answers.
DOI: 10.5281/zenodo.6772795
title: PNS-Cyst

description: Data collected by the PheNeSens (Phenotyping of Nematodes with Sensors) project. The images recorded cysts of sugar beet nematode, together with organic debris from the soil sample, left after the soil processing. All cysts are manually outlined by experts and saved as indexed-PNG images. We used the annotations to train deep neural networks for automatic cyst segmentation in the PheNeSens project. For details of the data collection and deep learning model training, refer to our paper:
DOI: 10.6084/m9.figshare.17294216
title: Third-party NGS-based original assemblies and pre-fetched contigs (fasta)

description: Eight nematode species rDNA assembled from raw NGS reads or fetched from figshare-deposited assemblies
DOI: 10.6084/m9.figshare.17294216.v4
title: Third-party NGS-based original assemblies and pre-fetched contigs (fasta)

description: Eight nematode species rDNA assembled from raw NGS reads or fetched from figshare-deposited assemblies
DOI: 10.6084/m9.figshare.17294216.v3
title: Third-party NGS-based original assemblies and pre-fetched contigs (fasta)

description: Eight nematode species rDNA assembled from raw NGS reads or fetched from figshare-deposited assemblies
DOI: 10.6084/m9.figshare.20164607.v1
title: Dataframe and code summaryHost-enemy interactions provide limited biotic resistance for a range-expanding species via reduced apparent competition

description: List and detaila about dataframes and codeDataframes and code for project on host-parasitoid interaction networks
DOI: 10.6084/m9.figshare.17197901.v2
title: Third-party NGS-based original assemblies and pre-fetched contigs (fasta)Fasta contigs derived from external transcriptomic assemblies

description: Nematods rRNA sequences.Eight nematode species rDNA assembled from raw NGS reads or fetched from figshare-deposited assemblies.
DOI: 10.6084/m9.figshare.17197901
title: Third-party NGS-based original assemblies and pre-fetched contigs (fasta)Fasta contigs derived from external transcriptomic assemblies

description: Nematods rRNA sequences.Eight nematode species rDNA assembled from raw NGS reads or fetched from figshare-deposited assemblies.
DOI: 10.6084/m9.figshare.17197901.v4
title: Third-party NGS-based original assemblies and pre-fetched contigs (fasta)Fasta contigs derived from external transcriptomic assemblies

description: Nematods rRNA sequences.Eight nematode species rDNA assembled from raw NGS reads or fetched from figshare-deposited assemblies.
DOI: 10.6084/m9.figshare.17197901.v3
title: Third-party NGS-based original assemblies and pre-fetched contigs (fasta)Fasta contigs derived from external transcriptomic assemblies

description: Nematods rRNA sequences.Eight nematode species rDNA assembled from raw NGS reads or fetched from figshare-deposited assemblies.
DOI: 10.5281/zenodo.6773243
title: Historical Photograph and Document Collection

description: After its establishment in 1929, TREC “began business” in 1930, with the construction of its first lab and office buildings and planting of the first crops. The historic photographs emphasize the first 10 years of TREC, when the most visible transition occurred from pineland to farmland, though also from the following decades (1940s-1970s), when TREC started to resemble the present campus. During this time and beyond, the nearly soiless oolitic limestone with native pine rockland transitioned into ornamental, fruit, and vegetable crops, while the pine rockland habitat was becoming vastly reduced and endangered. The catalog for this collection is contained as `Photo&DocumentScans.xlsx` with the collection as the accompanying `Photo&DocumentScansCollection.zip`.
description: Funding provided by the UF Libraries digital initiatives endowment.
DOI: 10.5281/zenodo.6773242
title: Historical Photograph and Document Collection

description: After its establishment in 1929, TREC “began business” in 1930, with the construction of its first lab and office buildings and planting of the first crops. The historic photographs emphasize the first 10 years of TREC, when the most visible transition occurred from pineland to farmland, though also from the following decades (1940s-1970s), when TREC started to resemble the present campus. During this time and beyond, the nearly soiless oolitic limestone with native pine rockland transitioned into ornamental, fruit, and vegetable crops, while the pine rockland habitat was becoming vastly reduced and endangered. The catalog for this collection is contained as `Photo&DocumentScans.xlsx` with the collection as the accompanying `Photo&DocumentScansCollection.zip`.
description: Funding provided by the UF Libraries digital initiatives endowment.
DOI: 10.18164/54e7d6e0-5d72-4342-8343-de2f14f7a686
title: Lake Ontario Canadian Baseline Coastal Habitat Survey
title: Relevé canadien de référence de l’habitat côtier du lac Ontario

description: Habitat and ecosystem data used to conduct a baseline survey of coastal habitat in Lake Ontario, Niagara River and the St. Lawrence River (up to the Quebec border) are included in this dataset. The Lake Ontario Survey methodology consists of four general steps; 1) delineating the coastal ecosystem into coastal units based on water flow, ecology, and geology; 2) selecting key habitat types including wetlands, uplands (natural and anthropogenic), tributaries, and inland lakes and ponds, and the measures to assess each habitat type and the entire coastal ecosystem; 3) conducting a spatial analysis and summarizing results; and 4) sharing results.
description: Les données sur les habitats et les écosystèmes utilisées pour effectuer un relevé de référence des habitats côtiers du lac Ontario, de la rivière Niagara et du fleuve Saint-Laurent (jusqu'à la frontière du Québec) sont incluses dans cet ensemble de données. La méthodologie de l'étude du lac Érié comprend quatre étapes générales : 1) délimiter l'écosystème côtier en unités côtières en fonction du débit d'eau, de l'écologie et de la géologie ; 2) sélectionner les principaux types d'habitats, y compris les milieux humides, les milieux secs (naturels et anthropiques), les affluents et les lacs et étangs intérieurs, ainsi que les mesures pour évaluer chaque type d'habitat et l'ensemble de l'écosystème côtier ; 3) effectuer une analyse spatiale et résumer les résultats ; et 4) partager les résultats.