cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.jx2vhu
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Stackpole National Nature Reserve Species Inventory and Ad-hoc Sightings from Across Pembrokeshire",
 "TaxonKey is Theba pisana (O.F.Müller, 1774)"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0127009-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.909rty
title: Occurrence Download

description: A dataset containing 150 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nyctibius maculosus Ridgway, 1912"
 ]
}

 The dataset includes 150 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000118-150210113312293/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zskvkj
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parodia herteri (Werderm.) N.P.Taylor"
 ]
}

 The dataset includes 31 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0181809-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fmn3d3
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nasa lambayequensis Weigend"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0181808-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yasgq7
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hymenophyllum capillaceum Roxb."
 ]
}

 The dataset includes 58 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004446-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wzfkoc
title: Occurrence Download

description: A dataset containing 475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Protea cynaroides (L.) L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 475 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000755-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mddgjd
title: Occurrence Download

description: A dataset containing 17982 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Herbario EMMA. Herbario de la Escuela Técnica Superior de Ingeniería de Montes, Forestal y del Medio Natural. UPM"
 ]
}

 The dataset includes 17982 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000118-150304104939900/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7qrr45
title: Occurrence Download

description: A dataset containing 1340 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.25_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Cervidae"
 ]
}

 The dataset includes 1340 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059546-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pw1bie
title: Occurrence Download

description: A dataset containing 653 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "TaxonKey is Cyperus odoratus L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 653 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000755-190307172214381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ne1elf
title: Occurrence Download

description: A dataset containing 226 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ozotoceros bezoarticus (Linnaeus, 1758)"
 ]
}

 The dataset includes 226 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000118-150306150734599/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fddzhc
title: Occurrence Download

description: A dataset containing 30212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Year 1000-1953",
 "TaxonKey is Allium L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 30212 records from 237 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021839-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tt6zsf
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Roseodendron donnell-smithii (Rose) Miranda"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092581-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ycubw5
title: Occurrence Download

description: A dataset containing 56526505 species occurrences available in GBIF matching the query:
{
 "BasisOfRecord" : [
 "is Material sample"
 ]
}

 The dataset includes 56526505 records from 1511 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092469-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.739uvp
title: Occurrence Download

description: A dataset containing 6405 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Ipomoea nil (L.) Roth)"
 ]
}

 The dataset includes 6405 records from 320 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092582-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25494/p6bs3r
title: California halibut--hook and line commercial fishery, Central Coast Region, Post MPA

description: This data set is a part of Ecotrust's project entitled: Establishing a Baseline and Assessing Spatial and Socioeconomic Change in the California Central Coast Commercial and CPFV Fisheries. This project is a component of the California Central Coast Marine Protected Area Baseline Monitoring Project that is designed to characterize the ecological and socioeconomic conditions and changes within the Central Coast Region since MPA implementation. The Central Coast study region extends from the north at Pigeon Point to the south at Point Conception. This data set consists of data collected in the spring of 2012 from fisheries mapping interviews with commercial fishermen who had California halibut--hook and line landings in the California Central Coast in 2011. Results from the interviews were then combined through an aggregation process where the value each fisherman gives to their California halibut fishing grounds are weighted by their landings for California halibut in 2011. This data set represents the spatial extent and relative value of California halibut commercial fishing grounds for the Central Coast Region in the year 2011.
DOI: 10.6084/m9.figshare.14850150.v1
title: Idaho Hunter Crowding Questionnaire: White-tailed Deer (2021)

description: qnr_idfg_crowd_wt_whitetail_2021_FINAL
DOI: 10.6084/m9.figshare.14850150
title: Idaho Hunter Crowding Questionnaire: White-tailed Deer (2020)

description: qnr_idfg_crowd_wt_whitetail_2020_FINAL
DOI: 10.6084/m9.figshare.14850150.v3
title: Idaho Hunter Crowding Questionnaire: White-tailed Deer (2020)

description: qnr_idfg_crowd_wt_whitetail_2020_FINAL
DOI: 10.6084/m9.figshare.14850150.v2
title: Idaho Hunter Crowding Questionnaire: White-tailed Deer (2020)

description: qnr_idfg_crowd_wt_whitetail_2021_FINAL
DOI: 10.6084/m9.figshare.14850147
title: Idaho Hunter Crowding Questionnaire: Regular Deer (2020)

description: qnr_idfg_crowd_rg_deer_2020_FINAL
DOI: 10.6084/m9.figshare.14850147.v2
title: Idaho Hunter Crowding Questionnaire: Regular Deer (2020)

description: qnr_idfg_crowd_rg_deer_2020_FINAL
DOI: 10.6084/m9.figshare.14850147.v1
title: Idaho Hunter Crowding Questionnaire: Regular Deer (2021)

description: qnr_idfg_crowd_rg_deer_2021_FINAL
DOI: 10.6084/m9.figshare.14850141
title: Idaho Hunter Crowding Questionnaire: Elk (2020)

description: qnr_idfg_crowd_ek_elk_2020_FINAL
DOI: 10.6084/m9.figshare.14850141.v2
title: Idaho Hunter Crowding Questionnaire: Elk (2020)

description: qnr_idfg_crowd_ek_elk_2020_FINAL
DOI: 10.6084/m9.figshare.14850141.v1
title: Idaho Hunter Crowding Questionnaire: Elk (2021)

description: qnr_idfg_crowd_ek_elk_2021_FINAL
DOI: 10.6084/m9.figshare.13469910
title: Idaho Hunter Crowding Questionnaire: White-tailed Deer (2019)

description: qnr_idfg_crowd_wt_whitetail_2019_FINAL
DOI: 10.6084/m9.figshare.13469910.v2
title: Idaho Hunter Crowding Questionnaire: White-tailed Deer (2019)

description: qnr_idfg_crowd_wt_whitetail_2019_FINAL
DOI: 10.6084/m9.figshare.13469910.v1
title: Idaho Hunter Crowding Questionnaire: White-tailed Deer (2020)

description: qnr_IDFG_Crowd_Whitetail_2020_FINAL
DOI: 10.6084/m9.figshare.13469898
title: Idaho Hunter Crowding Questionnaire: Elk (2019)

description: qnr_idfg_crowd_ek_elk_2019_FINAL
DOI: 10.6084/m9.figshare.13469898.v2
title: Idaho Hunter Crowding Questionnaire: Elk (2019)

description: qnr_idfg_crowd_ek_elk_2019_FINAL
DOI: 10.6084/m9.figshare.13469898.v1
title: Idaho Hunter Crowding Questionnaire: Elk (2020)

description: qnr_IDFG_Crowd_Elk_2020_FINAL
DOI: 10.6084/m9.figshare.13469859
title: Idaho Hunter Crowding Questionnaire: Deer (2019)

description: qnr_idfg_crowd_rg_deer_2019_FINAL
DOI: 10.6084/m9.figshare.13469859.v2
title: Idaho Hunter Crowding Questionnaire: Deer (2019)

description: qnr_idfg_crowd_rg_deer_2019_FINAL
DOI: 10.6084/m9.figshare.13469859.v1
title: Idaho Hunter Crowding Questionnaire: Deer (2020)

description: qnr_IDFG_Crowd_Deer_2020_FINAL
DOI: 10.25934/pr00005987
title: Disease‐modifying anti‐rheumatic drugs for rheumatoid arthritis: A network meta-analysis incorporating individual patient data
DOI: 10.34740/kaggle/dsv/3018656
title: Jamumas
DOI: 10.3886/e160841v1
title: SCHOOLING, STIGMA AND PERIODS AMONG ADOLESCENT GIRLS AND BOYS IN TANZANIA

description: Menstrual hygiene management is an important determinant for girls’ educational outcomes. We develop a method of cross-sectional analysis that quantifies the relative importance of four distinct mechanisms: material, biological, social and informational constraints and consider four main schooling outcomes: absenteeism, early departure, concentration and participation. We use survey data from 524 female students enrolled in four co-educational secondary schools in Northern Tanzania.
DOI: 10.6073/pasta/dc269cc780a9ccef9a9a92bcb2a31279
title: Juvenile Salmonid Emigration Monitoring in the Stanislaus River at Caswell Memorial State Park, California.

description: Overview Operation of rotary screw traps on the lower Stanislaus River at Caswell Memorial State Park is part of the U.S Fish and Wildlife Service’s Anadromous Fish Restoration Program and Comprehensive Assessment and Monitoring Program under the National Marine Fisheries Service Reasonable and Prudent Alternatives actions and Central Valley Project Improvement Act. The primary objectives of the study are to collect data that can be used to estimate the passage of juvenile fall-run Chinook Salmon Oncorhynchus tshawytscha and to quantify the raw catch of steelhead Oncorhynchus mykiss. Secondary objectives of the trapping operations focus on collecting biological data on juvenile salmonids and gathering environmental data that will be used to develop models that correlate environmental parameters with salmonid size, temporal presence, abundance, and production. The data package contains seven datasets including: raw catch, trap operation, environmental, and trap efficiency data. Raw Catch – Chinook Dataset This dataset covers ALL Chinook Salmon captured by the rotary screw traps. This spreadsheet includes biological data on: 1) unmarked fall- and spring-run Chinook Salmon 2) recaptured marked fall-run (BBY OR "Pigment / Dye", Photonic Dye, Fin Clip, and VIE OR "Elastomer") Chinook Salmon utilized in trap efficiency trials. Raw Catch – Steelhead Dataset This dataset covers ALL steelhead captured by the rotary screw traps. All steelhead captured are unmarked and presumed to be natural origin steelhead. Raw Catch – ByCatch Dataset This dataset provides biological data on ALL catch (EXCLUDING Chinook Salmon or steelhead) captured by the rotary screw traps. All catch in this table is of natural origin. Trap Operations Dataset This dataset provides trap operation data for each trap visit. Specifically, it includes data on the visit type, trap functioning status, start and end sampling dates and times, total revolutions and instantaneous revolution speeds, livewell intake statuses, debris data, and whether the catch associated for this record will be include for juvenile production estimates. Environmentals Dataset This dataset covers environmental data collected at the rotary screw traps. This spreadsheet includes turbidity (nephelometric turbidity units), water velocity (meters per second), dissolved oxygen (milligrams per liter), and water depth (centimeters). Trap Efficiency Summary Dataset This dataset provides a summary of each trap efficiency trial conducted. It includes the release date and time, the length of the test, the number of marked fish released and recaptured, and whether the trial was included for juvenile production estimates. Trap Efficiency Release FL Dataset This dataset provides biological data on a subsample of released fish utilized in trap efficiency trials.
DOI: 10.5281/zenodo.5911159
title: Appendix A - Understanding the application of Handwritten Text Recognition technology in heritage contexts

description: This appendix lists all the categorised works mentioning the HTR software Transkribus, used in 'Understanding the application of Handwritten Text Recognition technology in heritage contexts: a systematic review of Transkribus in published research'
DOI: 10.5281/zenodo.5911158
title: Appendix A - Understanding the application of Handwritten Text Recognition technology in heritage contexts

description: This appendix lists all the categorised works mentioning the HTR software Transkribus, used in 'Understanding the application of Handwritten Text Recognition technology in heritage contexts: a systematic review of Transkribus in published research'
DOI: 10.5281/zenodo.5910911
title: Companion test_dataset and results for bash: wma_ms_pll.sh running 3DSlicer singularity img. SJN22.sif

description: Companion test_dataset and results for bash: wma_ms_pll.sh running 3DSlicer singularity img. SJN22.sif
DOI: 10.5281/zenodo.5910910
title: Companion test_dataset and results for bash: wma_ms_pll.sh running 3DSlicer singularity img. SJN22.sif

description: Companion test_dataset and results for bash: wma_ms_pll.sh running 3DSlicer singularity img. SJN22.sif
DOI: 10.6084/m9.figshare.18857975
title: PlosOne Data file for Repository.xlsx

description: Data for demographic information for Phase I of supplement for older Hispanic participants with type 2 diabetes
DOI: 10.15482/usda.adc/1524659
title: Influences of channel and floodplain modification on expansion of woody vegetation into Catahoula Lake, Louisiana, USA
DOI: 10.5281/zenodo.5911767
title: Semantics Conflicts for Edge (JSON)

description: Semantics Conflicts for Edge (JSON)
DOI: 10.5281/zenodo.5911766
title: Semantics Conflicts for Edge (JSON)

description: Semantics Conflicts for Edge (JSON)
DOI: 10.5517/ccdc.csd.cc2911xb
title: CCDC 2116181: Experimental Crystal Structure Determination

description: Related Article: Quang H. Luu, Junqi Li|2022|Chemical Science|13|1095|doi:10.1039/D1SC06968C
DOI: 10.5517/ccdc.csd.cc2911yc
title: CCDC 2116182: Experimental Crystal Structure Determination

description: Related Article: Quang H. Luu, Junqi Li|2022|Chemical Science|13|1095|doi:10.1039/D1SC06968C
DOI: 10.5517/ccdc.csd.cc293fkf
title: CCDC 2118464: Experimental Crystal Structure Determination

description: Related Article: Sebastian R. Yocca, Matthias Zeller, Edward F. C. Byrd, Davin G. Piercey|2022|J.Mater.Chem.A|10|1876|doi:10.1039/D1TA09275H
DOI: 10.5517/ccdc.csd.cc293flg
title: CCDC 2118465: Experimental Crystal Structure Determination

description: Related Article: Sebastian R. Yocca, Matthias Zeller, Edward F. C. Byrd, Davin G. Piercey|2022|J.Mater.Chem.A|10|1876|doi:10.1039/D1TA09275H
DOI: 10.5517/ccdc.csd.cc293fmh
title: CCDC 2118466: Experimental Crystal Structure Determination

description: Related Article: Sebastian R. Yocca, Matthias Zeller, Edward F. C. Byrd, Davin G. Piercey|2022|J.Mater.Chem.A|10|1876|doi:10.1039/D1TA09275H
DOI: 10.5281/zenodo.5831826
title: Raw EEG Data for: Learning from Label Proportions in Brain-Computer Interfaces

description: If you prefer to use the preprocessed and epoched data, please refer to: https://zenodo.org/record/192684 Note that this repository ontains only the visual paradigm with the N=13 subjects recorded at 31 EEG channels, as described in the above link. We copied the relevant section of the description below: This data repository contains raw EEG of an EEG experiment utilizing visual event-related potentials (ERPs) with N=13 healthy subjects. The dataset is used and described in the following journal article: <em>Hübner, D., Verhoeven, T., Schmid, K., Müller, K. R., Tangermann, M., & Kindermans, P. J. (2017). Learning from label proportions in brain-computer interfaces: online unsupervised learning with guarantees. PloS one, 12(4), e0175856.</em> <strong>Please cite the above article when using the data.</strong> The data set with N=13 subjects is different to ordinary ERP datasets in the sense that the train of stimuli to spell one character (68) is divided into repetitions of two interleaved sequences with length 8 and 18, respectively. We added '#' symbols to the spelling matrix which should never be attended by the subject and hence, are non-targets by definition. The first, shorter sequence, now highlights only ordinary characters, while the second sequence also highlights '#' -- visual blank symbols. By construction, sequence 1 has a higher target ratio than sequence 2. These known, but different target and non-target proportions are then used to reconstruct the target and non-target class means. This approach which does not need explicit class labels is termed Learning from Label Proportions (LLP). It can be used to decode brain signals without prior calibration session. More details can be found in the article. In another study, the above data set was used to simulate a new unsupervised mixture approach which combines the mean estimation of the unsupervised expectation-maximization algorithm by Kindermans et al. (2012, PLoS One) with the means obtained with the LLP approach. This leads to an unsupervised solution for which the performance is as good as in the supervised scenario. Please find more details in the following article: <em>Verhoeven, T., Hübner, D., Tangermann, M., Müller, K. R., Dambre, J., & Kindermans, P. J. (2017). Improving zero-training brain-computer interfaces by mixing model estimators. Journal of neural engineering, 14(3), 036021.</em> The data was recorded with BrainVision recorder. A new file was recorded for every group of 7 characters. The .eeg file contains the RAW EEG data in the format as described in the .vhdr file. Events / stimuli markers are provided in the .vmrk files. Note that there is a wrapper available to use this data in MOABB here: TODO INSERT LINK The subjects had the task to spell a specific sentence with 63 letters. In the online experiment, this was repeated 3 times and each time the online unsupervised classifier was reset at the start of the sentence.
DOI: 10.25505/fiz.icsd.cc29b763
title: CSD 2124994: Experimental Crystal Structure Determination

description: Related Article: K. Mesecke, L.N. Warr, W. Malorny|2022|J.Appl.Crystallogr.|55|133|doi:10.1107/S1600576721012668