cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/ghcv1g/yo8eqe
title: ML100xZnS-Mn-cys_1s_EM200_thinCircCvrSlp_SingleMP-1-66.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/ypd5jw
title: ML100xZnS-Mn-cys_1s_EM200_thinCircCvrSlp_SingleMP-1-50.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/zkvew3
title: ML100xZnS-Mn-cys_1s_EM200-2-25.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/bxb4wa
title: liveStage-frame144.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/jwzhco
title: liveStage-frame146.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/mid9qi
title: liveStage-frame168.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/mlyrfd
title: liveStage-frame22.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/pvv8px
title: liveStage-frame189.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/h3ggdn
title: ML100xZnS-Mn-cys_1s_EM200-2-46.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/hh3v4f
title: ML_300msEM200_MP1-295.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/icseph
title: ML100xZnS-Mn-cys_1s_EM200-2-31.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/mqwgjm
title: ML100xZnS-Mn-cys_300ms_EM200-6bigMP-14.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/murgma
title: ML100xZnS-Mn-cys_300ms_EM200-6bigMP-98.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/mwrfes
title: ML100xZnS-Mn-cys_1s_EM200-2-36.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/pa5os3
title: ML_300msEM200_MP1-32.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/vyoabt
title: ML_300msEM200_MP1-235.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/hzfpz7
title: liveStage-frame31.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/k1oq6g
title: liveStage-frame80.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/rdw8po
title: liveStage-frame114.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/suksco
title: liveStage-frame119.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/vnifjr
title: liveStage-frame170.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/em5koc
title: ML_300msEM200_MP1-21.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/g2tj6x
title: ML100xZnS-Mn-cys_1s_EM200-5-51.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/mephsh
title: ML100xZnS-Mn-cys_300ms_EM200-6bigMP-75.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/ngopho
title: ML_300msEM200_MP1-65.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/rebrgl
title: ML_300msEM200_MP1-68.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/rubg6g
title: ML100xZnS-Mn-cys_1s_EM200-2-84.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/rzs5c5
title: ML_300msEM200_MP1-59.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/w3450v
title: ML100xZnS-Mn-cys_300ms_EM200-6bigMP-34.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/23p8sl
title: liveStage-frame74.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/bte3ka
title: liveStage-frame134.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/iwjdvq
title: liveStage-frame75.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/nze2sy
title: liveStage-frame139.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/qhwv07
title: liveStage-frame148.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/0a9wta
title: ML100xZnS-Mn-cys_1s_EM200-5-59.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/1iciqq
title: ML100xZnS-Mn-cys_300ms_EM200-6bigMP-51.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/3ynuq0
title: ML100xZnS-Mn-cys_300ms_EM200-6bigMP-29.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/hoeeyx
title: ML100xZnS-Mn-cys_1s_EM200-5-63.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/hxn56t
title: ML_300msEM200_MP1-228.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/rmmqtr
title: ML100xZnS-Mn-cys_1s_EM200-5-23.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/tf6kka
title: ML100xZnS-Mn-cys_1s_EM200-5-9.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/v2kgyo
title: ML_300msEM200_MP1-315.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/ptmzfb
title: liveStage-frame50.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/rd6jbi
title: liveStage-frame20.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/rhxdfy
title: liveStage-frame47.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/tjwi6b
title: liveStage-frame167.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/u7siai
title: liveStage-frame141.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/xkfrsp
title: liveStage-frame135.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/aqtruz
title: ML100xZnS-Mn-cys_300ms_EM200-6bigMP-10.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/bqtmcf
title: ML100xZnS-Mn-cys_1s_EM200_thinCircCvrSlp_SingleMP-1-76.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/eqlpz5
title: ML100xZnS-Mn-cys_1s_EM200-2-41.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/nmoq1u
title: ML_300msEM200_MP1-292.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/sootub
title: ML100xZnS-Mn-cys_1s_EM200-2-47.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/srlvve
title: liveStage.tif

description: :unav
DOI: 10.7910/dvn/ghcv1g/uq5ssl
title: ML100xZnS-Mn-cys_1s_EM200_thinCircCvrSlp_SingleMP-1-19.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/drbd17
title: liveStage-frame23.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/whwlzu
title: liveStage-frame37.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/wwjnhi
title: liveStage-frame43.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/b3lfuv
title: ML100xZnS-Mn-cys_300ms_EM200-6bigMP-21.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/bn5wh5
title: ML_300msEM200_MP1-84.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/mxpb1q
title: ML100xZnS-Mn-cys_300ms_EM200-6bigMP-13.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/ostafd
title: ML_300msEM200_MP1-61.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/qmgqbj
title: ML100xZnS-Mn-cys_300ms_EM200-6bigMP-62.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/s2qrkb
title: ML_300msEM200_MP1-71.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/solhqc
title: ML100xZnS-Mn-cys_1s_EM200_thinCircCvrSlp_SingleMP-1-25.mat

description: :unav
DOI: 10.17632/g23fv2xbbf.1
title: Aluminum-based self-powered hyper-fast miniaturized sensor for breath humidity detection

description: This is the raw data collected in the time span of 38 days. It shows the sensor response to the short flushes of water vapor. There are less than 38 files because the measurements were not taken every day because of weekends and national holidays.
DOI: 10.7910/dvn/eqdkvy/5rxjlt
title: liveStage-frame69.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/9nntc8
title: liveStage-frame164.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/ephkux
title: liveStage-frame162.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/ukdtcb
title: liveStage-frame138.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/wnhl9b
title: liveStage-frame120.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/0t9vtg
title: ML100xZnS-Mn-cys_1s_EM200-5-76.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/lttfj6
title: ML100xZnS-Mn-cys_1s_EM200-5-94.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/mt7ldd
title: ML100xZnS-Mn-cys_300ms_EM200-6bigMP-44.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/qofu8s
title: ML_300msEM200_MP1-226.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/ueqppo
title: ML100xZnS-Mn-cys_1s_EM200-2-70.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/ukgy9v
title: ML100xZnS-Mn-cys_300ms_EM200-6bigMP-36.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/y3wpx3
title: ML100xZnS-Mn-cys_300ms_EM200-6bigMP-19.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/dpofpt
title: liveStage-frame184.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/eqvfp5
title: liveStage-frame199.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/etfa8r
title: liveStage-frame194.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/ljagbw
title: liveStage-frame94.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/vrwhrz
title: liveStage-frame47.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/wry2lf
title: liveStage-frame142.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/26azu4
title: ML_300msEM200_MP1-162.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/ae5zdx
title: ML_300msEM200_MP1-63.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/emwczx
title: ML_300msEM200_MP1-18.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/g3iucz
title: ML100xZnS-Mn-cys_1s_EM200-2-34.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/hjoqux
title: ML_300msEM200_MP1-282.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/n5zm9l
title: ML_300msEM200_MP1-231.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/umvehg
title: ML100xZnS-Mn-cys_300ms_EM200-6bigMP-70.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/wjwrds
title: ML100xZnS-Mn-cys_1s_EM200_thinCircCvrSlp_SingleMP-1-63.mat

description: :unav
DOI: 10.17632/vbff93rh3n.1
title: Punishment controls helper defence against egg predators but not against fish predators in cooperatively breeding cichlids

description: Helping behaviour in some cooperative breeders is apparently maintained by a combination of coercion and reciprocity. In such pay-to-stay systems, alloparental brood care of subordinate group members functions as a service to dominants, which tolerate subordinates based on how much help they provide. Cooperative territory defence is a key task of cooperative breeders, but it is unknown how territory defence by subordinates is socially regulated. Diverse costs and benefits associated with defending the territory against different threats suggest that these defence behaviours may be maintained through divergent selection regimes, and they might be regulated through different social processes. In the cooperatively breeding cichlid fish Neolamprologus pulcher, unrelated subordinates help defending the territory against egg predators even if they do not participate in reproduction and therefore do not suffer direct or indirect fitness costs through predators of eggs. This behaviour has therefore been interpreted as altruistic. Subordinates also defend the group territory against predators of juveniles and adults, which might at least partly reflect their own direct fitness interests and could be maintained through mutualistic interactions among group members. Here, we directly compared the regulation of these two types of defence behaviours and tested whether they are enforced by breeders. We prevented subordinates from defending the territory against egg-predators or predators of adults and observed whether they received more aggression in response to this treatment. We found that subordinates received more aggression from breeders after withheld defence against egg-predators, but not after withheld defence against fish predators. This suggests that territory defence against egg-predators by helpers is enforced by breeders and hence subject to negotiations and trading, whereas defence against fish predators is likely based on mutualistic fitness benefits.
DOI: 10.7910/dvn/eqdkvy/0uyuit
title: liveStage-frame88.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/364vd0
title: liveStage-frame30.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/zmqr8y
title: liveStage-frame74.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/zr1e7i
title: liveStage-frame171.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/9dln3n
title: ML100xZnS-Mn-cys_1s_EM200-2-98.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/bqibm5
title: ML_300msEM200_MP1-66.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/br4vo0
title: ML_300msEM200_MP3-110.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/ftlhkb
title: ML_300msEM200_MP1-146.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/gyuioz
title: ML100xZnS-Mn-cys_300ms_EM200-6bigMP-16.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/j96b3m
title: ML_300msEM200_MP4-80.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/o6s8jb
title: ML_300msEM200_MP1-111.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/quoujd
title: ML_300msEM200_MP1-93.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/qzf2gw
title: ML_300msEM200_MP5-166.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/rxfkav
title: ML_300msEM200_MP3-118.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/swrut7
title: ML_300msEM200_MP1-143.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/w1v3cn
title: ML_300msEM200_MP4-95.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/w9mqwm
title: ML100xZnS-Mn-cys_1s_EM200_thinCircCvrSlp_SingleMP-1-33.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/yjvg9k
title: ML100xZnS-Mn-cys_1s_EM200-5-5.mat

description: :unav
DOI: 10.15490/fairdomhub.1.datafile.3406.1
title: /reports/SupplementaryTableS4

description: Supplementary Table S4 - PW363 biological evidence filtering results. Output of 1st filtering step by biological evidence for breeding clone PW363. Layer _p_stRT/ _I_STRT/_S_03_stCuSTr/_A_03.1_filtering/reports/,
DOI: 10.17632/wdx2ntjznj.1
title: Data for: Spatial decomposition analysis of NO2 and PM2.5 air pollution in the United States

description: This dataset includes the yearly decomposed concentrations of four spatial components ("long-range", "mid-range", "neighborhood", "near-source") for PM2.5 and NO2, from year-2000 to year-2015. The concentrations are at the census block level. The unit of concentrations is ug/m3 for both pollutants. Block is identified by variable "block_fip"; the longitude and latitude of each block centroid are indicated by "longitude" and "latitude". Names of concentration variables follow the pattern as "COMPONENT_YEAR". "COMPONENT" represents four spatial components; "YEAR" represents the last two digits of year-2000 to year-2015. For example, "long-range_00" represents the "long-range" component concentrations for the year-2000.
DOI: 10.7910/dvn/eqdkvy/74bxcu
title: liveStage-frame61.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/i323vs
title: liveStage-frame117.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/ptmulm
title: liveStage-frame36.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/wx8cuu
title: liveStage-frame118.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/yro6xd
title: liveStage-frame51.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/1m6urr
title: ML_300msEM200_MP1-219.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/deohi7
title: ML100xZnS-Mn-cys_300ms_EM200-6bigMP-24.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/ewufph
title: ML100xZnS-Mn-cys_1s_EM200-2-81.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/ha5zhu
title: ML_300msEM200_MP1-278.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/jhtueg
title: ML100xZnS-Mn-cys_300ms_EM200-6bigMP-59.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/lmd6vt
title: ML_300msEM200_MP5-156.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/qttiiu
title: ML_300msEM200_MP1-125.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/rovbg0
title: ML_300msEM200_MP1-289.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/usolac
title: ML100xZnS-Mn-cys_1s_EM200-5-20.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/uyhyug
title: ML_300msEM200_MP4-153.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/vhdnnk
title: ML_300msEM200_MP3-236.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/wmnvgc
title: ML100xZnS-Mn-cys_300ms_EM200-6bigMP-3.mat

description: :unav
DOI: 10.17632/v77kmkzj88.2
title: Dataset of HOXB7, HOXB8 and HOXB9 RNA expression in breast cancer cell lines

description: The HOXB7, HOXB8 and HOXB9 gene expression profiles in breast cancer are contradictory due to disease complexity and technical issues. The data presented here cover these two points by analysing the expression of these genes in breast cancer cell lines representative of distincts molecular subtypes using a very sensitive quantification technique, the qPCR. The cell lines analysed were MCF7, BT474, SKBR3, MDA231, MDA468 and MCF10A representative of Luminal A, Luminal B, HER2+, triple-negative claudin low, triple-negative basal and normal model, respectively. The raw data was accessed by CFX Manager 3.1 software (Bio-Rad) and a threshold line was put into the exponential phase of the amplification curve generating a Cycle Threshold (CT) number for each sample. The CT numbers were transferred to an Excell file to be analysed using the formula: RATIO= E target^ – (CT sample for the target gene) / E reference^ – (CT sample for the reference gene), in which “E” refers to primer efficiencies previously calculated and GAPDH is the reference gene. The statistical analyses were made with Prism 8 using the unpaired T test with Welch’s correction. P-values were considered statistically significant when P≤0.05. Data are presented as the mean ± SD of three independent experiments. The analyzed results, showed that HOXB7 tends to be overexpressed in all breast cancer cell lines when compared to the normal cell model, while HOXB8 and HOXB9 are significantly overexpressed only in MCF7, BT474 and MDA231 cells. All genes presented expression levels highly subtype-dependent among breast cancer cell lines.
DOI: 10.7910/dvn/eqdkvy/jnsktg
title: liveStage-frame162.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/l7lvlc
title: liveStage-frame140.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/m5fwz6
title: liveStage-frame94.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/n0bikd
title: liveStage-frame56.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/wa91qf
title: liveStage-frame88.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/wvt8na
title: liveStage-frame86.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/2979yv
title: ML_300msEM200_MP1-237.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/8yf17k
title: ML_300msEM200_MP3-145.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/9dfvnv
title: ML100xZnS-Mn-cys_300ms_EM200-6bigMP-12.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/a1dh8a
title: ML_300msEM200_MP1-256.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/abmrkx
title: ML_300msEM200_MP4-55.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/elwnvw
title: ML_300msEM200_MP1-271.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/huttnv
title: ML100xZnS-Mn-cys_1s_EM200-5-36.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/mmdy5w
title: ML_300msEM200_MP6-68.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/ovs96n
title: ML100xZnS-Mn-cys_1s_EM200-2-18.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/uhtvae
title: ML_300msEM200_MP1-240.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/vgbvlt
title: ML_300msEM200_MP1-299.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/vsimaz
title: ML_300msEM200_MP1-73.mat

description: :unav
DOI: 10.17632/dv3pz8xcsp.3
title: A dataset of eco-evidence tools to inform early-stage environmental impact assessments of hydropower development

description: The datasets described herein provide the foundation for a decision support prototype (DSP) toolkit aimed at assisting stakeholders in determining evidence of which aspects of river ecosystems have been impacted by hydropower. A series of 42 river function indicators were used to characterize divergent aspects of river ecosystems while also serving to consolidate the dimensionality of these complex systems into a manageable number of measures. These indicators were developed from a comprehensive literature review of the environmental impacts of hydropower and are associated with six main categories of impacts to river systems: biota and biodiversity, water quality, hydrology, geomorphology, land cover, and river connectivity. The three tools comprising the DSP toolkit and associated data include: 1) Science-Based Questionnaire (SBQ): A series of structured survey-style 140 questions for understanding impacts of dams on river ecosystems were developed through a global literature review. A spreadsheet program was developed to summarize the results of questions into evidence of dam impacts on the 42 ecological indicators. Output is provided in tabular and graphical/chart formats. 2) Environmental Envelope Model (EEM): The EEM is a model to predict the likelihood of hydropower impacting indicators based on a several variables. The intended use of the EEM is for situations of new hydropower development where results of the SBQ are incomplete or highly uncertain. A dataset containing attributes of dams, reservoirs, and geospatial information on environmental concerns were compiled and combined with data on ecological indicators measured at those sites. The data were used to develop models predicting impacts of dams on ecological indicators. A total of 247 envelopes and weighting factors, representing the individual effect of each variable on each ecological indicator, were developed in a spreadsheet program. 3) River Function Linkage Assessment Tool (RFLAT): The purpose of RFLAT is to examine causal relationships amongst indicators. Based on literature review, a node and edge dataset was developed representing causal relationships (“edges”) between ecological indicators (“nodes)”. Bayes theorem was used estimate conditional probabilities of inter-indicator relationships based on the output of the SBQ. Nodes and edges were imported into R programming environment to visualize ecological indicator networks.
DOI: 10.7910/dvn/eqdkvy/1remjc
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DOI: 10.7910/dvn/ghcv1g/6easos
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DOI: 10.7910/dvn/ghcv1g/sw4apj
title: ML100xZnS-Mn-cys_1s_EM200_thinCircCvrSlp_SingleMP-1-52.mat

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DOI: 10.7910/dvn/ghcv1g/t3j76w
title: ML100xZnS-Mn-cys_1s_EM200_thinCircCvrSlp_SingleMP-1-37.mat

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DOI: 10.7910/dvn/eqdkvy/c9msao
title: liveStage-frame42.mat

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DOI: 10.7910/dvn/eqdkvy/exduee
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DOI: 10.7910/dvn/ghcv1g/6zhgda
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DOI: 10.7910/dvn/ghcv1g/abrkm7
title: ML_300msEM200_MP1-259.mat

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DOI: 10.7910/dvn/ghcv1g/bfyaho
title: ML_300msEM200_MP1-91.mat

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DOI: 10.7910/dvn/ghcv1g/bvnbnm
title: ML100xZnS-Mn-cys_1s_EM200-5-39.mat

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DOI: 10.7910/dvn/ghcv1g/gabnzv
title: ML_300msEM200_MP6-11.mat

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DOI: 10.7910/dvn/ghcv1g/hcvur0
title: ML100xZnS-Mn-cys_1s_EM200_thinCircCvrSlp_SingleMP-1-69.mat

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DOI: 10.7910/dvn/ghcv1g/kmqh5o
title: ML_300msEM200_MP1-241.mat

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DOI: 10.7910/dvn/ghcv1g/ncap0z
title: ML_300msEM200_MP1-78.mat

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DOI: 10.7910/dvn/ghcv1g/prtxv3
title: ML_300msEM200_MP5-35.mat

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DOI: 10.7910/dvn/ghcv1g/zinfj0
title: ML100xZnS-Mn-cys_1s_EM200_thinCircCvrSlp_SingleMP-1-23.mat

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DOI: 10.17632/f5jpffyhmg.1
title: Engineered Fluorescent E. coli Lysogens Allow Live-Cell Imaging of Functional Prophage Induction Triggered inside Macrophages. Bodner et al.

description: Raw data and analysis scripts
DOI: 10.7910/dvn/eqdkvy/3rpk5g
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DOI: 10.7910/dvn/ghcv1g/7tk44l
title: ML100xZnS-Mn-cys_1s_EM200_thinCircCvrSlp_SingleMP-1-81.mat

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DOI: 10.7910/dvn/ghcv1g/9dpkjd
title: ML100xZnS-Mn-cys_1s_EM200-5-75.mat

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DOI: 10.7910/dvn/ghcv1g/as2omq
title: ML_300msEM200_MP1-320.mat

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