cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/611479e438500a56d5085020d3aa16cd
title: Production, biomass, and yield estimates for walleye populations in the Ceded Territory of Wisconsin from 1990-2017

description: Recreational fisheries are valued at $190B globally and constitute the predominant use of wild fish stocks in developed countries, with inland systems contributing the dominant fraction of recreational fisheries. Although inland recreational fisheries are thought to be highly resilient and self-regulating, the rapid pace of environmental change is increasing the vulnerability of these fisheries to overharvest and collapse. We evaluate an approach for detecting hidden overharvest of inland recreational fisheries based on empirical comparisons of harvest and biomass production. Using an extensive 28-year dataset of the walleye fisheries in Northern Wisconsin, USA, we compare empirical biomass harvest (Y) and calculated production (P) and biomass (B) for 390 lake-year combinations. Overharvest occurs when harvest exceeds production in that year. Biomass and biomass turnover (P/B) both declined by about 30% and about 20% over time while biomass harvest did not change, causing overharvest to increase. Our analysis revealed 40% of populations were production-overharvested, a rate about 10x higher than current estimates based on numerical harvest used by fisheries managers. Our study highlights the need for novel approaches to evaluate and conserve inland fisheries in the face of global change.
DOI: 10.7910/dvn/qbqfxa/6vyfl7
title: 220_GSE_16sec_20120126_0436.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/fmjdkn
title: 219_GSE_16sec_20120127_1827.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/k1q6pv
title: 216_GSM_16sec_20120210_2000.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/mefhnv
title: 217_GSM_16sec_20120209_2117.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/oua5tj
title: 221_GSE_16sec_20120123_0400.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/qhl0eo
title: 21_GSE_16sec_20170906_1224.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/t7vj1o
title: 218_GSE_16sec_20120202_1424.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/zngdcx
title: 217_GSE_16sec_20120209_2117.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/0byire
title: 223_GSM_16sec_20120116_0312.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/7mc77z
title: 222_GSM_16sec_20120119_1436.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/ecmnwl
title: 221_OMNI_HRO_1MIN_440395_000.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/l2osjw
title: 223_OMNI_HRO_1MIN_423865_000.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/mtffaf
title: 224_GSE_16sec_20120112_0824.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/pp6vf5
title: 225_GSE_16sec_20120102_1512.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/pt92jx
title: 221_GSM_16sec_20120123_0400.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/txoyec
title: 221_OMNI_HRO_1MIN_325032_000.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/zm98hx
title: 226_GSE_16sec_20111221_0312.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/8hzupm
title: 227_GSM_16sec_20111207_0936.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/dxltck
title: 229_GSM_16sec_20111126_0712.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/htetq2
title: 22_GSE_16sec_20170904_2036.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/kqqn8f
title: 227_GSE_16sec_20111207_0936.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/pzqtus
title: 229_GSE_16sec_20111126_0712.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/ssoug4
title: 228_GSE_16sec_20111127_1400.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/wmv2hu
title: 228_GSM_16sec_20111127_1400.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/78xucj
title: 235_GSE_16sec_20111103_2330.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/8mgqef
title: 231_GSM_16sec_20111117_2036.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/bemyky
title: 22_OMNI_HRO_5MIN_20160211.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/edupms
title: 233_GSM_16sec_20111109_1336.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/hgczga
title: 230_GSM_16sec_20111120_2312.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/ss5ikf
title: 233_GSE_16sec_20111109_1336.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/v1eail
title: 232_GSE_16sec_20111113_1336.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/vsfgv3
title: 232_GSM_16sec_20111113_1336.png

description: :unav
DOI: 10.17632/6kwr6zv56r.1
title: Data for Li et al. "An Experimental Study of Matrix Dissolution and Wormhole Formation Using Gypsum Core Flood Tests. Part II: Dissolution Kinetics and Modeling"

description: This data set compiles the effluent concentration data of the seven core flood tests.
DOI: 10.7910/dvn/qbqfxa/45esuy
title: 23_GSM_16sec_20170714_0125.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/eqs6xu
title: 239_GSE_16sec_20111004_1325.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/hv44go
title: 240_GSM_16sec_20111001_2048_1.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/ilh7an
title: 238_237_GSE_16sec_20111022_0125.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/n408uc
title: 239_OMNI_HRO_1MIN_20111022.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/n926dr
title: 242_241_GSM_16sec_20110924_1248.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/nhza2x
title: 240_GSE_16sec_20111001_2048_1.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/qbuhku
title: 234_GSE_16sec_20111104_0125.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/y1uazj
title: 235_GSM_16sec_20111103_2330.png

description: :unav
DOI: 10.17632/64gnkxsftg.1
title: Dataset Skripsi - Data Produksi Padi Kabupaten Lumajang

description: Dataset untuk penerapan metode Extreme Learning Machine (ELM) dalam proses prediksi produksi padi di Kabupaten Lumajang
DOI: 10.17632/64gnkxsftg.2
title: Dataset Skripsi - Data Produksi Padi Kabupaten Lumajang

description: Dataset untuk penerapan metode Extreme Learning Machine (ELM) dalam proses prediksi produksi padi di Kabupaten Lumajang
DOI: 10.17632/g39b22ktyf.1
title: Investigating the Meso-mechanical Anisotropy and Fracture Surface Roughness of Continental Shale

description: This data set compiles all the data of mechanical tests and fracture surface roughness, and representative movies of shale with different bedding angles.
DOI: 10.7910/dvn/qbqfxa/7conpe
title: 246_GSM_16sec_20110823_2358.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/bzw4mj
title: 24_GSE_16sec_20160211_2127.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/esfub1
title: 247_GSE_16sec_20110809_0812.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/klzgpd
title: 243_GSE_16sec_20110922_1048.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/ld9rn6
title: 249_GSE_16sec_20110803_1400.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/os8k9w
title: 245_244_GSE_16sec_20110906_0224.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/ukarhk
title: 248_GSE_16sec_20110804_0412.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/w5o0tz
title: 243_GSM_16sec_20110922_1048.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/wf8oyb
title: 245_244_GSM_16sec_20110906_0224.png

description: :unav
DOI: 10.17632/w7rb2h98jv.1
title: Using Eye-tracking Technology to Identify Learning styles- a quasi-experiment

description: This dataset presents the gaze path and fixation data generated by different types of learners while they are viewing pictures-and-text with different arrangements. The learning styles in this study are based on the Felder and Silverman Learning Style Theory (FSLSM), in which learners were categorized into four groups: Active/Reflective, Sensing/Intuitive, Visual/Verbal and Global/Sequential.
DOI: 10.7910/dvn/qbqfxa/0byyhx
title: 250_GSE_16sec_20110726_1012.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/53kjdq
title: 255_254_GSM_16sec_20110607_0649.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/7xuqrk
title: 250_GSM_16sec_20110726_1012.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/omm3bt
title: 252_GSM_16sec_20110621_0316.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/u1gksv
title: 252_GSE_16sec_20110621_0316.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/vmm3ls
title: 250_251_OMNI_HRO_1MIN_397490_000.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/wyuoid
title: 250_OMNI_HRO_1MIN_340086_000.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/x1qagz
title: 253_GSM_16sec_20110613_0424.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/zjv8ci
title: 251_GSE_16sec_20110725_1812.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/2tdgur
title: 25_GSE_16sec_20160106_1400.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/brftgi
title: 258_GSM_16sec_20110602_0812.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/bx0cns
title: 257_256_GSM_16sec_20110604_0648.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/feqo3u
title: 262_GSE_16sec_20110321_0224.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/fnngfh
title: 263_GSM_16sec_20110307_2000.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/i68nmw
title: 265_GSM_16sec_20110214_1824.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/krgexi
title: 260_GSE_16sec_20110417_1536.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/snr5iw
title: 258_dsthtx_20110602.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/xhpqeg
title: 262_GSM_16sec_20110321_0224.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/7ywufu
title: 268_GSE_16sec_20100831_2117.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/cpwddu
title: 270_GSM_16sec_20100807_1836.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/ecupko
title: 271_GSE_16sec_20100801_1342.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/jscceg
title: 266_GSM_16sec_20110102_2324.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/khnozz
title: 26_GSM_16sec_20160101_2324.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/ojczrl
title: 269_GSE_16sec_20100807_1836.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/pcvn4q
title: 272_GSE_16sec_20100604_1230.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/uvbywb
title: 264_GSM_16sec_20110215_0224.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/xd4tyf
title: 267_GSM_16sec_20101214_1536.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/2tjpmi
title: 273_GSE_16sec_20100524_1406_1.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/e13nsx
title: 275_GSE_16sec_20100403_1033.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/ixnaya
title: 274_GSE_16sec_20100523_1806.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/mverfj
title: 273_GSM_16sec_20100524_1406_1.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/pq8uzq
title: 276_GSE_16sec_20100212_1342.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/sbl2wq
title: 274_GSM_16sec_20100523_1806.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/y4p2zr
title: 272_GSM_16sec_20100604_1230.png

description: :unav
DOI: 10.17632/kfgk4vng35.1
title: Data for: Effect of V and Ball Milling Time on Microstructure and Thermal Properties of CoCrCuFeNiVx by Mechanical Alloying
DOI: 10.7910/dvn/qbqfxa/54iwaj
title: 277_GSE_16sec_20100702_0354.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/9r54pc
title: 278_GSM_16sec_20091216_0430.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/eaidde
title: 30_GSE_16sec_20151104_1448.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/evtzhu
title: 281_GSE_16sec_20070125_0654.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/g8za2v
title: 280_GSM_16sec_20070730_0454.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/sruaki
title: 277_GSM_16sec_20100702_0354.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/tlftgl
title: 282_GSM_16sec_20070119_0430.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/vcbgrl
title: 27_GSM_16sec_20151228_1212.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/yyerlv
title: 279_GSM_16sec_20080817_0731.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/6d9jn8
title: 37_GSM_16sec_20150625_0836.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/gusrzi
title: 32_GSM_16sec_20151022_0312.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/neu6k7
title: 28_GSM_16sec_20151228_1424.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/pkm5er
title: 33_GSM_16sec_20150920_1812.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/tlabwr
title: 31_GSE_16sec_20151102_2024.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/usyqms
title: 34_GSM_16sec_20150822_0712.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/whwyf2
title: 36_GSE_16sec_20150701_1436.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/yz5mio
title: 35_GSE_16sec_20150726_0848.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/0kg1ue
title: 38_GSM_16sec_20150622_1836.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/13mzb7
title: 42_GSM_16sec_20150601_1348.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/d1k7ce
title: 40_GSM_16sec_20150619_0642.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/enmzwn
title: 40_GSE_16sec_20150619_0642.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/fdynfs
title: 41_GSM_16sec_20150618_1724.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/ryrvlk
title: 3_OMNI_HRO_5MIN_20141219.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/xspi16
title: 3_OMNI2_H0_20141219_DST.png

description: :unav
DOI: 10.17632/d76rzzd8r7.1
title: Particle-Level Residence Time Data in a Twin-Screw Feeder

description: Pre-processed particle data obtained from DEM simulations. For each particle, the initial position in the twin-screw feeder, the particle radius, and the residence time is given. The data is available for 3 fill levels in the feeder (100%, 66%, 40%). Included in the dataset are example RTDs obtained from the particle data, a minimum working example for a Python script that calculates the RTD of particles in two spatial regions of the feeder, and a video of the complete discharge process rendered from the DEM results.
DOI: 10.7910/dvn/qbqfxa/13lfus
title: 53_OMNI_HRO_5MIN_2014Dec21.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/1l8ikt
title: 47_46_GSE_16sec_20150504_0312.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/5unk3o
title: 52_GSM_16sec_20141219_0104.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/gfu2hd
title: 55_GSE_16sec_20141017_0924.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/krrktm
title: 44_GSM_16sec_20150513_1848.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/met2xj
title: 53_OMNI_HRO_5MIN_20141221.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/of4luq
title: 54_GSM_16sec_20141213_1424.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/txe89v
title: 53_GSE_16sec_20141217_0500.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/u4xzrq
title: 43_GSM_16sec_20150521_2224.png

description: :unav
DOI: 10.15139/s3/t9fbet
title: Malawi ONSE Impact Evaluation Baseline Data

description: These data were collected to form the baseline analysis datasets for evaluation of the ONSE project in Malawi. Data were collected from the Salima, Machinga, Mzimba, Nsanje, Nkhotakota, and Ntchisi districts using DHS questionnaires that were modified for the impact evaluation. Facility data were also collected from all public facilities in these districts using an abbreviated SARA questionnaire.
DOI: 10.7910/dvn/blebhi/62najx
title: EJR_gender_dataset_Jan2018.tab

description: :unav
DOI: 10.7910/dvn/qbqfxa/bauwtf
title: 57_GSE_16sec_20140926_0428.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/gxhtog
title: 66_GSM_16sec_20140828_1724.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/hc6zyt
title: 63_GSM_16sec_20140909_0026.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/hssdy6
title: 60_59_GSE_16sec_20140923_0724.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/idv3il
title: 61_GSE_16sec_20140922_0848.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/qr1nbg
title: 66_GSE_16sec_20140828_1724.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/teatg4
title: 65_64_GSM_16sec_20140901_1112.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/vjmfgz
title: 58_GSE_16sec_20140924_2130.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/vl85lg
title: 56_GSE_16sec_20141014_1848.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/zpyeiq
title: 62_GSE_16sec_20140910_1800.png

description: :unav
DOI: 10.7910/dvn/blebhi/0r0hrf
title: figure7b_to_person_by_job.pdf

description: :unav
DOI: 10.7910/dvn/blebhi/6xidoo
title: 6.txt

description: :unav
DOI: 10.7910/dvn/blebhi/8ztqel
title: figure6b_to_person_by_length.pdf

description: :unav
DOI: 10.7910/dvn/blebhi/bsfrvh
title: README_code.pdf

description: :unav
DOI: 10.7910/dvn/blebhi/d0k4ut
title: JMC-history-ID-merged.tab

description: :unav
DOI: 10.7910/dvn/blebhi/hh0j93
title: clean_scraped_data.py

description: :unav
DOI: 10.7910/dvn/blebhi/nmsrj8
title: job-rank.R

description: :unav
DOI: 10.7910/dvn/blebhi/vhw2fg
title: figure6a_persist_by_length.pdf

description: :unav
DOI: 10.7910/dvn/blebhi/wantva
title: figure4a_mean_person_by_job.pdf

description: :unav
DOI: 10.7910/dvn/blebhi/ycx83n
title: figure3a_mean_acad_by_job.pdf

description: :unav
DOI: 10.7910/dvn/qbqfxa/8zabec
title: 69_GSE_16sec_20140822_1112.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/fe0axh
title: 67_GSE_16sec_20140824_1236.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/h8ll8j
title: 69_GSM_16sec_20140822_1112.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/iuh0g4
title: 68_GSM_16sec_20140825_1536.png

description: :unav
DOI: 10.7910/dvn/qbqfxa/lniooo
title: 72_GSE_16sec_20140808_1636.png

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DOI: 10.7910/dvn/qbqfxa/vbfvod
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DOI: 10.14469/hpc/5997
title: D with dispersion opt conf1 G= -612.312143 VCD

description: Gaussian Calculation
DOI: 10.14469/hpc/5998
title: D with dispersion opt conf2 G=-612.312576 VCD

description: Gaussian Calculation
DOI: 10.14469/hpc/5999
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DOI: 10.25386/genetics.8244758.v2
title: Supplemental Material for Woldemariam et al., 2019

description: Supplemental Figures for Using a Robust and Sensitive GFP-Based cGMP Sensor for Real Time Imaging in Intact Caenorhabditis elegans<br><br>
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DOI: 10.18716/nmrshiftdb2/2308
title: NMR data for Ardisiaquinone G