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

description: A dataset containing 10354 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bufo marinus (Linnaeus, 1758)"
 ]
}

 The dataset includes 10354 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0257510-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5b8dnj
title: Occurrence Download

description: A dataset containing 343754 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Fabaceae"
 ]
}

 The dataset includes 343754 records from 306 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050480-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qn2hz6
title: Occurrence Download

description: A dataset containing 135 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Garcinia rubra Merr."
 ]
}

 The dataset includes 135 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003534-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.83zcyw
title: Occurrence Download

description: A dataset containing 8021008 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8021008 records from 779 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0277433-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/g1h3ac/aq57hl
title: EPflux.Laki.33-06.nc
DOI: 10.7910/dvn/g1h3ac/ty1kf3
title: EPflux.Laki.33-04.nc
DOI: 10.7910/dvn/g1h3ac/xdfzhw
title: EPflux.Laki.33-05.nc
DOI: 10.7910/dvn/g1h3ac/ceypj2
title: EPflux.Laki.33-09.nc
DOI: 10.7910/dvn/g1h3ac/mnvtay
title: EPflux.Laki.33-11.nc
DOI: 10.7910/dvn/g1h3ac/ok4hb4
title: EPflux.Laki.33-10.nc
DOI: 10.7910/dvn/g1h3ac/vk39zm
title: EPflux.Laki.33-08.nc
DOI: 10.7910/dvn/g1h3ac/y8y30d
title: EPflux.Laki.33-07.nc
DOI: 10.7910/dvn/g1h3ac/ggiqdv
title: EPflux.Laki.34-03.nc
DOI: 10.7910/dvn/g1h3ac/hjqrlz
title: EPflux.Laki.34-02.nc
DOI: 10.7910/dvn/g1h3ac/iylalf
title: EPflux.Laki.33-12.nc
DOI: 10.7910/dvn/g1h3ac/ktkwcj
title: EPflux.Laki.34-04.nc
DOI: 10.7910/dvn/g1h3ac/yevu9k
title: EPflux.Laki.34-01.nc
DOI: 10.7910/dvn/g1h3ac/j79upw
title: EPflux.Laki.34-05.nc
DOI: 10.7910/dvn/g1h3ac/jm5tde
title: EPflux.Laki.34-08.nc
DOI: 10.7910/dvn/g1h3ac/qlnpji
title: EPflux.Laki.34-06.nc
DOI: 10.7910/dvn/g1h3ac/v8lgva
title: EPflux.Laki.34-09.nc
DOI: 10.7910/dvn/g1h3ac/ykxq1e
title: EPflux.Laki.34-07.nc
DOI: 10.7910/dvn/qu15aw/z39qne
title: FPRCIdata_GFPR 2019.xls

description: This file contains the most recent updates of food policy research capacity indicators, which was included in the annex of 2019 Global Food Policy Report.
DOI: 10.7910/dvn/g1h3ac/272onp
title: EPflux.Laki.35-02.nc
DOI: 10.7910/dvn/g1h3ac/e8yhfn
title: EPflux.Laki.34-10.nc
DOI: 10.7910/dvn/g1h3ac/kcs5bx
title: EPflux.Laki.34-11.nc
DOI: 10.7910/dvn/g1h3ac/l0ezfl
title: EPflux.Laki.34-12.nc
DOI: 10.7910/dvn/g1h3ac/uinwwg
title: EPflux.Laki.35-01.nc
DOI: 10.7910/dvn/g1h3ac/ahnzbz
title: EPflux.Laki.35-05.nc
DOI: 10.7910/dvn/g1h3ac/rzdzsa
title: EPflux.Laki.35-04.nc
DOI: 10.7910/dvn/g1h3ac/s2tsz2
title: EPflux.Laki.35-06.nc
DOI: 10.7910/dvn/g1h3ac/wwezoo
title: EPflux.Laki.35-03.nc
DOI: 10.7910/dvn/f7iom2/hxfolf
title: SPEED_data_GFPR2019.xls

description: This file includes public agricultural expenditures for 1995, 2010, and 2016.
DOI: 10.7910/dvn/g1h3ac/mhp5kt
title: EPflux.Laki.35-10.nc
DOI: 10.7910/dvn/g1h3ac/rgndwq
title: EPflux.Laki.35-11.nc
DOI: 10.7910/dvn/g1h3ac/xkymzs
title: EPflux.Laki.35-07.nc
DOI: 10.7910/dvn/g1h3ac/yh2dwf
title: EPflux.Laki.35-08.nc
DOI: 10.7910/dvn/g1h3ac/zvyzjp
title: EPflux.Laki.35-09.nc
DOI: 10.7910/dvn/g1h3ac/53nxxz
title: EPflux.Laki.36-04.nc
DOI: 10.7910/dvn/g1h3ac/noefe2
title: EPflux.Laki.36-01.nc
DOI: 10.7910/dvn/g1h3ac/t5con0
title: EPflux.Laki.36-02.nc
DOI: 10.7910/dvn/g1h3ac/x59lbv
title: EPflux.Laki.35-12.nc
DOI: 10.7910/dvn/g1h3ac/z7gxvj
title: EPflux.Laki.36-03.nc
DOI: 10.7910/dvn/g1h3ac/30hno4
title: EPflux.Laki.36-07.nc
DOI: 10.7910/dvn/g1h3ac/hn35wk
title: EPflux.Laki.36-08.nc
DOI: 10.7910/dvn/g1h3ac/lhmx3o
title: EPflux.Laki.36-06.nc
DOI: 10.7910/dvn/g1h3ac/tf6rwl
title: EPflux.Laki.36-05.nc
DOI: 10.7910/dvn/g1h3ac/enp87r
title: EPflux.Laki.36-09.nc
DOI: 10.7910/dvn/g1h3ac/fo2xfq
title: EPflux.Laki.36-11.nc
DOI: 10.7910/dvn/g1h3ac/qqm0oz
title: EPflux.Laki.36-10.nc
DOI: 10.7910/dvn/g1h3ac/s0brgk
title: EPflux.Laki.37-01.nc
DOI: 10.7910/dvn/g1h3ac/xupge1
title: EPflux.Laki.36-12.nc
DOI: 10.7910/dvn/g1h3ac/docgbi
title: EPflux.Laki.37-02.nc
DOI: 10.7910/dvn/g1h3ac/euud6w
title: EPflux.Laki.37-03.nc
DOI: 10.7910/dvn/g1h3ac/oltm7b
title: EPflux.Laki.37-06.nc
DOI: 10.7910/dvn/g1h3ac/wimoun
title: EPflux.Laki.37-04.nc
DOI: 10.7910/dvn/g1h3ac/x0vqe1
title: EPflux.Laki.37-05.nc
DOI: 10.7910/dvn/bmpqgn/gi1ms1
title: IMPACT_projections_food production_2019GFPR.xls

description: This file contains data on IMPACT projections of food production, consumption, and hunger to 2050, with and without climate change,as presented in Table 5 of annex of 2019 GFPR report.
DOI: 10.7910/dvn/g1h3ac/4c99qb
title: EPflux.Laki.37-10.nc
DOI: 10.7910/dvn/g1h3ac/omisdb
title: EPflux.Laki.37-11.nc
DOI: 10.7910/dvn/g1h3ac/ooeaiw
title: EPflux.Laki.37-09.nc
DOI: 10.7910/dvn/g1h3ac/op6mf8
title: EPflux.Laki.37-07.nc
DOI: 10.7910/dvn/g1h3ac/t8sjou
title: EPflux.Laki.37-08.nc
DOI: 10.7910/dvn/g1h3ac/b4a4vo
title: EPflux.Laki.38-04.nc
DOI: 10.7910/dvn/g1h3ac/cewaur
title: EPflux.Laki.38-02.nc
DOI: 10.7910/dvn/g1h3ac/f2vyoz
title: EPflux.Laki.38-03.nc
DOI: 10.7910/dvn/g1h3ac/mm0pnc
title: EPflux.Laki.38-01.nc
DOI: 10.7910/dvn/g1h3ac/vgfvkg
title: EPflux.Laki.37-12.nc
DOI: 10.7910/dvn/g1h3ac/1aljts
title: EPflux.Laki.38-07.nc
DOI: 10.7910/dvn/g1h3ac/48qewj
title: EPflux.Laki.38-08.nc
DOI: 10.7910/dvn/g1h3ac/bua5zy
title: EPflux.Laki.38-05.nc
DOI: 10.7910/dvn/g1h3ac/hwwigq
title: EPflux.Laki.38-09.nc
DOI: 10.7910/dvn/g1h3ac/usrnbi
title: EPflux.Laki.38-06.nc
DOI: 10.7910/dvn/g1h3ac/azasdx
title: EPflux.Laki.38-11.nc
DOI: 10.7910/dvn/g1h3ac/qzb7ys
title: EPflux.Laki.39-02.nc
DOI: 10.7910/dvn/g1h3ac/wenjrb
title: EPflux.Laki.38-10.nc
DOI: 10.7910/dvn/g1h3ac/wwpoyr
title: EPflux.Laki.38-12.nc
DOI: 10.7910/dvn/g1h3ac/yghny3
title: EPflux.Laki.39-01.nc
DOI: 10.7910/dvn/wtwrmh/cp4bio
title: IMPACT_projections_netTrade_2019GFPR.xls

description: This file contains data on IMPACT projections of food production, consumption, and net trade to 2050, with and without climate change,as presented in Table 6 of annex of 2019 GFPR report.
DOI: 10.7910/dvn/g1h3ac/g5gjg7
title: EPflux.Laki.39-07.nc
DOI: 10.7910/dvn/g1h3ac/lid5an
title: EPflux.Laki.39-04.nc
DOI: 10.7910/dvn/g1h3ac/nmlhns
title: EPflux.Laki.39-06.nc
DOI: 10.7910/dvn/g1h3ac/q3mdto
title: EPflux.Laki.39-05.nc
DOI: 10.7910/dvn/g1h3ac/x8sfwu
title: EPflux.Laki.39-03.nc
DOI: 10.7910/dvn/g1h3ac/a1eazq
title: EPflux.Laki.39-09.nc
DOI: 10.7910/dvn/g1h3ac/bfbciq
title: EPflux.Laki.39-11.nc
DOI: 10.7910/dvn/g1h3ac/ec9wuy
title: EPflux.Laki.39-12.nc
DOI: 10.7910/dvn/g1h3ac/w2s8nv
title: EPflux.Laki.39-10.nc
DOI: 10.7910/dvn/g1h3ac/ymv0xm
title: EPflux.Laki.39-08.nc
DOI: 10.7910/dvn/g1h3ac/0htfbf
title: EPflux.Laki.40-02.nc
DOI: 10.7910/dvn/g1h3ac/lkiiar
title: EPflux.Laki.40-01.nc
DOI: 10.7910/dvn/g1h3ac/noa5az
title: EPflux.Laki.40-04.nc
DOI: 10.7910/dvn/g1h3ac/vjnujm
title: EPflux.Laki.40-03.nc
DOI: 10.7910/dvn/g1h3ac/6xnx9y
title: EPflux.Laki.40-09.nc
DOI: 10.7910/dvn/g1h3ac/anncn5
title: EPflux.Laki.40-06.nc
DOI: 10.7910/dvn/g1h3ac/mzst7j
title: EPflux.Laki.40-07.nc
DOI: 10.7910/dvn/g1h3ac/uer8gh
title: EPflux.Laki.40-05.nc
DOI: 10.7910/dvn/g1h3ac/yiwrxa
title: EPflux.Laki.40-08.nc
DOI: 10.7910/dvn/g1h3ac/8axexb
title: EPflux.Laki.40-11.nc
DOI: 10.7910/dvn/g1h3ac/aj1ieo
title: EPflux.Laki.40-10.nc
DOI: 10.7910/dvn/g1h3ac/atxtyh
title: EPflux.Laki.40-12.nc
DOI: 10.7910/dvn/g1h3ac/jonotf
title: EPflux.Laki.control.1813-02.nc
DOI: 10.7910/dvn/g1h3ac/nsqcy3
title: EPflux.Laki.control.1813-01.nc
DOI: 10.7910/dvn/m89xmz/80udjr
title: MANIFEST.TXT

description: :unav
DOI: 10.7910/dvn/m89xmz/a3cke0
title: anesCumulativeSmall.tab

description: :unav
DOI: 10.7910/dvn/m89xmz/kupxix
title: anes16small.tab

description: :unav
DOI: 10.6084/m9.figshare.26520431
title: Efficacy and safety of G-CSF prophylaxis in patients with extensive-stage small cell lung cancer receiving chemoimmunotherapy

description: We aimed to evaluate the efficacy and safety of granulocyte-colony stimulating factor (G-CSF) prophylaxis during chemoimmunotherapy with carboplatin plus etoposide and atezolizumab in extensive-stage small cell lung cancer (ES-SCLC). This retrospective, multicenter study enrolled ES-SCLC patients receiving carboplatin plus etoposide and atezolizumab, categorized into G-CSF and non-G-CSF groups. Demographic and disease-related data were collected. Response rates, progression-free survival (PFS), overall survival (OS), and toxicity were analyzed. Of 119 patients (median age: 63 years), the overall response rate (ORR) and disease control rate (DCR) were 72.3% and 81.5%, respectively. In the G-CSF group, the ORR was 76.4% compared to 60.0% in the non-G-CSF group (<i>p</i> = 0.33), and the DCR was 85.4% versus 70.0%, respectively (<i>p</i> = 0.46). Median PFS was 8.3 months (95% CI, 6.8–9.8) in the G-CSF group and 6.8 months (95% CI, 6.2–7.5) in the non-G-CSF group (<i>p</i> = 0.24). Median OS was 13.8 months (95% CI, 9.6–18.1) for the G-CSF group and 10.6 months (95% CI, 7.9–13.3) for the non-G-CSF group (<i>p</i> = 0.47). Grade 3 ≥ adverse events were similar between groups (49.4% vs. 33.3%, respectively, <i>p</i> = 0.12). G-CSF prophylaxis can be safely used in ES-SCLC patients undergoing carboplatin plus etoposide and atezolizumab regimen without significantly altering efficacy or increasing toxicity.
DOI: 10.6084/m9.figshare.26520431.v4
title: Efficacy and safety of G-CSF prophylaxis in patients with extensive-stage small cell lung cancer receiving chemoimmunotherapy

description: We aimed to evaluate the efficacy and safety of granulocyte-colony stimulating factor (G-CSF) prophylaxis during chemoimmunotherapy with carboplatin plus etoposide and atezolizumab in extensive-stage small cell lung cancer (ES-SCLC). This retrospective, multicenter study enrolled ES-SCLC patients receiving carboplatin plus etoposide and atezolizumab, categorized into G-CSF and non-G-CSF groups. Demographic and disease-related data were collected. Response rates, progression-free survival (PFS), overall survival (OS), and toxicity were analyzed. Of 119 patients (median age: 63 years), the overall response rate (ORR) and disease control rate (DCR) were 72.3% and 81.5%, respectively. In the G-CSF group, the ORR was 76.4% compared to 60.0% in the non-G-CSF group (<i>p</i> = 0.33), and the DCR was 85.4% versus 70.0%, respectively (<i>p</i> = 0.46). Median PFS was 8.3 months (95% CI, 6.8–9.8) in the G-CSF group and 6.8 months (95% CI, 6.2–7.5) in the non-G-CSF group (<i>p</i> = 0.24). Median OS was 13.8 months (95% CI, 9.6–18.1) for the G-CSF group and 10.6 months (95% CI, 7.9–13.3) for the non-G-CSF group (<i>p</i> = 0.47). Grade 3 ≥ adverse events were similar between groups (49.4% vs. 33.3%, respectively, <i>p</i> = 0.12). G-CSF prophylaxis can be safely used in ES-SCLC patients undergoing carboplatin plus etoposide and atezolizumab regimen without significantly altering efficacy or increasing toxicity.
DOI: 10.7910/dvn/g1h3ac/6eulmo
title: EPflux.Laki.control.1813-07.nc
DOI: 10.7910/dvn/g1h3ac/7tseiv
title: EPflux.Laki.control.1813-06.nc
DOI: 10.7910/dvn/g1h3ac/gwcpft
title: EPflux.Laki.control.1813-05.nc
DOI: 10.7910/dvn/g1h3ac/hkvf5s
title: EPflux.Laki.control.1813-04.nc
DOI: 10.7910/dvn/g1h3ac/rdlr4y
title: EPflux.Laki.control.1813-03.nc
DOI: 10.7910/dvn/m89xmz/ejo3q5
title: Stata Script for Tables 1 and 2.do

description: :unav
DOI: 10.7910/dvn/m89xmz/j2pfxf
title: Stata Script for Tables 3-5.do

description: :unav
DOI: 10.6084/m9.figshare.26520431.v3
title: Efficacy and safety of G-CSF prophylaxis in patients with extensive-stage small cell lung cancer receiving chemoimmunotherapy

description: We aimed to evaluate the efficacy and safety of granulocyte-colony stimulating factor (G-CSF) prophylaxis during chemoimmunotherapy with carboplatin plus etoposide and atezolizumab in extensive-stage small cell lung cancer (ES-SCLC). This retrospective, multicenter study enrolled ES-SCLC patients receiving carboplatin plus etoposide and atezolizumab, categorized into G-CSF and non-G-CSF groups. Demographic and disease-related data were collected. Response rates, progression-free survival (PFS), overall survival (OS), and toxicity were analyzed. Of 119 patients (median age: 63 years), the overall response rate (ORR) and disease control rate (DCR) were 72.3% and 81.5%, respectively. In the G-CSF group, the ORR was 76.4% compared to 60.0% in the non-G-CSF group (<i>p</i> = 0.33), and the DCR was 85.4% versus 70.0%, respectively (<i>p</i> = 0.46). Median PFS was 8.3 months (95% CI, 6.8–9.8) in the G-CSF group and 6.8 months (95% CI, 6.2–7.5) in the non-G-CSF group (<i>p</i> = 0.24). Median OS was 13.8 months (95% CI, 9.6–18.1) for the G-CSF group and 10.6 months (95% CI, 7.9–13.3) for the non-G-CSF group (<i>p</i> = 0.47). Grade 3 ≥ adverse events were similar between groups (49.4% vs. 33.3%, respectively, <i>p</i> = 0.12). G-CSF prophylaxis can be safely used in ES-SCLC patients undergoing carboplatin plus etoposide and atezolizumab regimen without significantly altering efficacy or increasing toxicity.
DOI: 10.7910/dvn/g1h3ac/2q0h2u
title: EPflux.Laki.control.1813-11.nc
DOI: 10.7910/dvn/g1h3ac/ufkxbo
title: EPflux.Laki.control.1813-08.nc
DOI: 10.7910/dvn/g1h3ac/wucqht
title: EPflux.Laki.control.1813-10.nc
DOI: 10.7910/dvn/g1h3ac/yjtqka
title: EPflux.Laki.control.1813-09.nc
DOI: 10.7910/dvn/g1h3ac/z4tw7e
title: EPflux.Laki.control.1813-12.nc
DOI: 10.7910/dvn/g1h3ac/awecfa
title: EPflux.Laki.control.1814-05.nc
DOI: 10.7910/dvn/g1h3ac/cy1vd1
title: EPflux.Laki.control.1814-04.nc
DOI: 10.7910/dvn/g1h3ac/dmuebh
title: EPflux.Laki.control.1814-03.nc
DOI: 10.7910/dvn/g1h3ac/eknbyk
title: EPflux.Laki.control.1814-02.nc
DOI: 10.7910/dvn/g1h3ac/ixamq9
title: EPflux.Laki.control.1814-01.nc
DOI: 10.7910/dvn/f0qapy/qpa91a
title: dataset.csv

description: :unav
DOI: 10.7910/dvn/g1h3ac/9n1vok
title: EPflux.Laki.control.1814-09.nc
DOI: 10.7910/dvn/g1h3ac/d75ssv
title: EPflux.Laki.control.1814-07.nc
DOI: 10.7910/dvn/g1h3ac/fbuxbr
title: EPflux.Laki.control.1814-06.nc
DOI: 10.7910/dvn/g1h3ac/tsc1vo
title: EPflux.Laki.control.1814-08.nc
DOI: 10.7910/dvn/g1h3ac/4tkclo
title: EPflux.Laki.control.1814-12.nc
DOI: 10.7910/dvn/g1h3ac/ao4aq4
title: EPflux.Laki.control.1815-02.nc
DOI: 10.7910/dvn/g1h3ac/hdnnia
title: EPflux.Laki.control.1814-11.nc
DOI: 10.7910/dvn/g1h3ac/o0tds0
title: EPflux.Laki.control.1814-10.nc
DOI: 10.7910/dvn/g1h3ac/vhlifr
title: EPflux.Laki.control.1815-01.nc
DOI: 10.7910/dvn/g1h3ac/5mvurq
title: EPflux.Laki.control.1815-06.nc
DOI: 10.7910/dvn/g1h3ac/i8exv5
title: EPflux.Laki.control.1815-07.nc
DOI: 10.7910/dvn/g1h3ac/mipffc
title: EPflux.Laki.control.1815-05.nc
DOI: 10.7910/dvn/g1h3ac/psaxv7
title: EPflux.Laki.control.1815-04.nc
DOI: 10.7910/dvn/g1h3ac/rdy9li
title: EPflux.Laki.control.1815-03.nc
DOI: 10.7910/dvn/g1h3ac/lworym
title: EPflux.Laki.control.1815-08.nc
DOI: 10.7910/dvn/g1h3ac/nn6rtc
title: EPflux.Laki.control.1815-09.nc
DOI: 10.7910/dvn/g1h3ac/uyo6tf
title: EPflux.Laki.control.1815-10.nc
DOI: 10.7910/dvn/g1h3ac/zm3eij
title: EPflux.Laki.control.1815-11.nc
DOI: 10.7910/dvn/3xmnfr/pntvfx
title: PRISMA 2009 checklist.doc

description: :unav
DOI: 10.7910/dvn/g1h3ac/eefhsy
title: EPflux.Laki.control.1816-04.nc
DOI: 10.7910/dvn/g1h3ac/ne1lot
title: EPflux.Laki.control.1816-03.nc
DOI: 10.7910/dvn/g1h3ac/u7bqdj
title: EPflux.Laki.control.1815-12.nc
DOI: 10.7910/dvn/g1h3ac/wufbqr
title: EPflux.Laki.control.1816-02.nc
DOI: 10.7910/dvn/g1h3ac/zowrtj
title: EPflux.Laki.control.1816-01.nc
DOI: 10.7910/dvn/g1h3ac/28e3yr
title: EPflux.Laki.control.1816-05.nc
DOI: 10.7910/dvn/g1h3ac/4bqcsg
title: EPflux.Laki.control.1816-06.nc
DOI: 10.7910/dvn/g1h3ac/dj7ev7
title: EPflux.Laki.control.1816-09.nc
DOI: 10.7910/dvn/g1h3ac/j2gnqj
title: EPflux.Laki.control.1816-07.nc
DOI: 10.7910/dvn/g1h3ac/xtixby
title: EPflux.Laki.control.1816-08.nc
DOI: 10.7910/dvn/g1h3ac/elsgmv
title: EPflux.Laki.control.1816-10.nc
DOI: 10.7910/dvn/g1h3ac/gsysdh
title: EPflux.Laki.control.1816-11.nc
DOI: 10.7910/dvn/g1h3ac/l1kx5h
title: EPflux.Laki.control.1816-12.nc
DOI: 10.7910/dvn/kzqew5/kokkg7
title: Artificial intelligence and Fintech.docx

description: Artificial intelligence (AI) and machine learning are being rapidly adopted for a range of applications in the financial services industry. As such, it is important to begin considering the financial stability implications of such uses. Because uses of this technology in finance are in a nascent and rapidly evolving phase, and data on usage are largely unavailable, any analysis must be necessarily preliminary, and developments in this area should be monitored closely
DOI: 10.7910/dvn/g1h3ac/6dzkwd
title: EPflux.Laki.control.1817-05.nc
DOI: 10.7910/dvn/g1h3ac/vtwxqi
title: EPflux.Laki.control.1817-01.nc
DOI: 10.7910/dvn/g1h3ac/wqzlep
title: EPflux.Laki.control.1817-02.nc
DOI: 10.7910/dvn/g1h3ac/xllv5g
title: EPflux.Laki.control.1817-04.nc
DOI: 10.7910/dvn/g1h3ac/zzhcd3
title: EPflux.Laki.control.1817-03.nc
DOI: 10.7910/dvn/g1h3ac/3l1rzb
title: EPflux.Laki.control.1817-10.nc
DOI: 10.7910/dvn/g1h3ac/6usdo5
title: EPflux.Laki.control.1817-09.nc
DOI: 10.7910/dvn/g1h3ac/djbgix
title: EPflux.Laki.control.1817-06.nc
DOI: 10.7910/dvn/g1h3ac/ftt1j8
title: EPflux.Laki.control.1817-08.nc
DOI: 10.7910/dvn/g1h3ac/lvk4ey
title: EPflux.Laki.control.1817-07.nc
DOI: 10.7910/dvn/g1h3ac/0sicwx
title: EPflux.Laki.control.1818-02.nc
DOI: 10.7910/dvn/g1h3ac/ctp1fz
title: EPflux.Laki.control.1817-12.nc
DOI: 10.7910/dvn/g1h3ac/gekktt
title: EPflux.Laki.control.1817-11.nc
DOI: 10.7910/dvn/g1h3ac/skkmam
title: EPflux.Laki.control.1818-03.nc
DOI: 10.7910/dvn/g1h3ac/sxdse8
title: EPflux.Laki.control.1818-01.nc
DOI: 10.7910/dvn/g1h3ac/7ixm4p
title: EPflux.Laki.control.1818-04.nc
DOI: 10.7910/dvn/g1h3ac/h2zwfv
title: EPflux.Laki.control.1818-06.nc
DOI: 10.7910/dvn/g1h3ac/ulhjgu
title: EPflux.Laki.control.1818-05.nc
DOI: 10.7910/dvn/f2cetn/hjmnh7
title: APprotestevents-metadata.csv

description: Metadata collected from Associated Press photographs used to construct the social action filter.
DOI: 10.7910/dvn/g1h3ac/22wyhl
title: EPflux.Laki.control.1818-09.nc
DOI: 10.7910/dvn/g1h3ac/4bolue
title: EPflux.Laki.control.1818-11.nc
DOI: 10.7910/dvn/g1h3ac/lxqojg
title: EPflux.Laki.control.1818-08.nc
DOI: 10.7910/dvn/g1h3ac/ntbkfj
title: EPflux.Laki.control.1818-07.nc
DOI: 10.7910/dvn/g1h3ac/tc6477
title: EPflux.Laki.control.1818-10.nc
DOI: 10.7910/dvn/f2cetn/88j7fh
title: coded-tweets-training.csv

description: Human coded data used to train the scalable social action classifiers.
DOI: 10.7910/dvn/f2cetn/juzony
title: ferguson_nov24-25_2014_us_tweets_classified.tab

description: Classified tweets from the dates of the initial Ferguson protests.
DOI: 10.7910/dvn/g1h3ac/fqnzct
title: EPflux.Laki.control.1819-03.nc
DOI: 10.7910/dvn/g1h3ac/khx0ki
title: EPflux.Laki.control.1819-02.nc
DOI: 10.7910/dvn/g1h3ac/opulkb
title: EPflux.Laki.control.1819-01.nc
DOI: 10.7910/dvn/g1h3ac/t7aj7g
title: EPflux.Laki.control.1819-04.nc
DOI: 10.7910/dvn/g1h3ac/y62xjf
title: EPflux.Laki.control.1818-12.nc
DOI: 10.7910/dvn/g1h3ac/bsm4ci
title: EPflux.Laki.control.1819-07.nc
DOI: 10.7910/dvn/g1h3ac/fhmmia
title: EPflux.Laki.control.1819-06.nc
DOI: 10.7910/dvn/g1h3ac/powyj1
title: EPflux.Laki.control.1819-05.nc
DOI: 10.7910/dvn/g1h3ac/zrad1t
title: EPflux.Laki.control.1819-08.nc
DOI: 10.7910/dvn/sklh8y/gkrygb
title: Source Data.xlsx

description: :unav
DOI: 10.15468/dl.f9jstz
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "GadmGid is MEX.25_1",
 "TaxonKey is Lontra longicaudis (Olfers, 1818)"
 ]
}

 The dataset includes 28 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029150-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/alalo7/0oelz4
title: 1848-1853.tar

description: :unav
DOI: 10.7910/dvn/alalo7/jjkyca
title: 1854-1857.tar

description: :unav
DOI: 10.7910/dvn/alalo7/nexrqb
title: 1858-1861.tar

description: :unav
DOI: 10.7910/dvn/alalo7/qyq4mp
title: 1838-1842_0.tar

description: :unav
DOI: 10.7910/dvn/alalo7/vjhtms
title: 1842_1-1847.tar

description: :unav
DOI: 10.7910/dvn/g1h3ac/0faiz5
title: EPflux.Laki.control.1819-11.nc
DOI: 10.7910/dvn/g1h3ac/0n7qjj
title: EPflux.Laki.control.1819-12.nc
DOI: 10.7910/dvn/g1h3ac/dd7ndb
title: EPflux.Laki.control.1820-01.nc
DOI: 10.7910/dvn/g1h3ac/ihmoyr
title: EPflux.Laki.control.1819-10.nc
DOI: 10.7910/dvn/g1h3ac/y1vwfv
title: EPflux.Laki.control.1819-09.nc
DOI: 10.7910/dvn/alalo7/6aq4rk
title: 1865-1871.tar

description: :unav
DOI: 10.7910/dvn/alalo7/e9b0xy
title: 1876-1877_2.tar

description: :unav
DOI: 10.7910/dvn/alalo7/jlfhdx
title: 1880-1881.tar

description: :unav
DOI: 10.7910/dvn/alalo7/m6eh9n
title: 1877_3-1879.tar

description: :unav
DOI: 10.7910/dvn/alalo7/pl4btt
title: 1874-1875.tar

description: :unav
DOI: 10.7910/dvn/g1h3ac/baguki
title: EPflux.Laki.control.1820-04.nc
DOI: 10.7910/dvn/g1h3ac/hvm0qo
title: EPflux.Laki.control.1820-03.nc
DOI: 10.7910/dvn/g1h3ac/qbwfru
title: EPflux.Laki.control.1820-02.nc
DOI: 10.7910/dvn/alalo7/5mwlga
title: 1883_2-1884_1.tar

description: :unav
DOI: 10.7910/dvn/alalo7/gcjvkv
title: 1887_0-1888_0.tar

description: :unav
DOI: 10.7910/dvn/alalo7/m6ooxz
title: 1884_2-1885_3.tar

description: :unav
DOI: 10.7910/dvn/alalo7/npcjgi
title: 1882-1883_1.tar

description: :unav
DOI: 10.7910/dvn/alalo7/rxwhdz
title: 1885_4-1886_4.tar

description: :unav
DOI: 10.7910/dvn/g1h3ac/2ajdng
title: EPflux.Laki.control.1820-05.nc
DOI: 10.7910/dvn/g1h3ac/hfiej9
title: EPflux.Laki.control.1820-09.nc
DOI: 10.7910/dvn/g1h3ac/hn3fdj
title: EPflux.Laki.control.1820-08.nc
DOI: 10.7910/dvn/g1h3ac/nzyynm
title: EPflux.Laki.control.1820-07.nc
DOI: 10.7910/dvn/g1h3ac/zx64nc
title: EPflux.Laki.control.1820-06.nc
DOI: 10.7910/dvn/pgc7gj/rzifiw
title: doaj raw data 20190218.xlsx
DOI: 10.7910/dvn/alalo7/f2v9ew
title: 1890_2-1891_1.tar

description: :unav
DOI: 10.7910/dvn/alalo7/g2bjeg
title: 1891_2-1892_2.tar

description: :unav
DOI: 10.7910/dvn/alalo7/hkadpj
title: 1889_1-1890_1.tar

description: :unav
DOI: 10.7910/dvn/alalo7/igxarg
title: 1888_1-1889_0.tar

description: :unav
DOI: 10.7910/dvn/alalo7/ywbgm2
title: 1892_3-1894_2.tar

description: :unav
DOI: 10.7910/dvn/g1h3ac/cajt3i
title: EPflux.Laki.control.1820-11.nc
DOI: 10.7910/dvn/g1h3ac/t2nlbm
title: EPflux.Laki.control.1820-12.nc
DOI: 10.7910/dvn/g1h3ac/utrjuw
title: EPflux.Laki.control.1820-10.nc
DOI: 10.7910/dvn/g1h3ac/zgxfzt
title: EPflux.Laki.control.1821-01.nc
DOI: 10.7910/dvn/alalo7/2nomhx
title: 1894_3-1897_0.tar

description: :unav
DOI: 10.7910/dvn/alalo7/doyr1u
title: 1900_0-1900_5.tar

description: :unav
DOI: 10.7910/dvn/alalo7/ha6w3m
title: 1898_2-1899_4.tar

description: :unav
DOI: 10.7910/dvn/alalo7/ndyyvu
title: 1897_1-1898_1.tar

description: :unav
DOI: 10.7910/dvn/alalo7/r3jf4n
title: 1901-1902_0.tar

description: :unav
DOI: 10.7910/dvn/g1h3ac/d7pusm
title: EPflux.Laki.control.1821-04.nc
DOI: 10.7910/dvn/g1h3ac/exefzl
title: EPflux.Laki.control.1821-02.nc
DOI: 10.7910/dvn/g1h3ac/lkzda4
title: EPflux.Laki.control.1821-06.nc
DOI: 10.7910/dvn/g1h3ac/poy9dm
title: EPflux.Laki.control.1821-05.nc
DOI: 10.7910/dvn/g1h3ac/zms6gf
title: EPflux.Laki.control.1821-03.nc