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Lode

Young, Ben · Huddersfield Research Portal (University of Huddersfield) · 2024

An overworked single mother encounters a bloodthirsty inter-dimensional demon - and possible salvation - in the laundry basket.<br/><br/>LODE is a short cosmic horror starring Tamzin Outhwaite. The film's production was supported by the British Film Institute, and it was produced by Bex Rose and Ben Young.

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LODE

Valentina Elce, Damiana Bergamo, Giulia Avvenuti et al. · Figshare · 2023

Dream EEG and Mentation (DREAM) data set <br> <br> ---Data set information--- <br> Common name: LODE Full name: The Language of Dreams Authors: Valentina Elce, Damiana Bergamo, Giulia Avvenuti, Michele Bellesi, Giulio Bernardi Location: Italy Year: 2020 - Ongoing Set ID: 3 Amendment: 0 Corresponding author ID: 6 <br> Previous publications: N/A <br> Correspondence: For information about the study or to request access to additional data, please contact Giulio Bernardi, IMT School for Advanced Studies Lucca, giulio.bernardi@imtlucca.it <br> <br> ---Metadata--- <br> Key ID: 3 Date entered: 2022-11-03T09:21:31+00:00 Number of samples: 190 Number of subjects: 28 Proportion REM: 33% Proportion N1: 4% Proportion N2: 62% Proportion experience: 62% Proportion no-experience: 31% Proportion healthy: 100% Provoked awakening: No Time of awakening: Morning Form of response: Free Date approved: 2022-11-03T09:22:12+00:00 <br> <br> ---How to decode data files--- <br> The folder "Questionnaires" contains the total scores for Pittsburgh Sleep Quality Index (PSQI), Eppworth Sleepiness Scale (ESS), and Morningness-Eveningness Questionnaire, in CSV files. For PSQI, the 7 classical subcomponents (subjective sleep quality, sleep latency, sleep duration, sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction) are included in addition to the total score. <br> <br> --Treatment group codes-- <br> N/A <br> <br> ---Experimental description--- <br> Important Note: This is an ongoing project (current version: 0.3, June 2022). Data collection is expected to reach an end in 2023. The dataset will be updated with additional subjects as soon as these are collected and processed. Additional data -including data obtained from cognitive tests and questionnaires- will be made available at the end of the project. <br> The study involves only heatlhy adult subjects. Specifically, the following inclusion criteria are applied: age 18-65, inclusive; relatively regular sleep-wake patterns; Italian only as mother tongue. The following exclusion criteria are also applied: less than 6 or more than 9 hours of sleep per night (on average); neurological, psychiatric or neurodegenerative diseases; major sleep disorders; use of medications that could affect sleep patterns, brain functioning, or behavior; known alterations of dream or imagery generation; alcohol or drug abuse; pregnancy or breastfeeding. <br> All volunteers undergo an anamnestic interview and are requested to complete several questionnaires including Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS) and Morningness-Eveningness Questionnaire. <br> Upon recruitment in the study, participants are provided with a DREEM portable EEG system, an actigraphy (MotionWatch8, CamNtech) and a voice recorder. Then, they are instructed to wear the DREEM each night at home for a minimum of 14 days and to record each morning, upon awakening from sleep, "everything that was going through their mind just before they woke up, everything they remember, every experience or thought they had before awakening." All participants are instructed to produce a verbal report also in those cases in which they had no experiences (no recall), or they had experiences the details of which they are not able to remember (white dreams). <br> At the end of the 14-days period, all volunteers participate in an additional experimental visit in the laboratory, during which they complete a battery of behavioral and cognitive tests. <br> <br> --DREAM categorization procedure-- <br> All verbal reports are evaluated and categorized as: "experience" [2], if the participant was able to remember at least one content of any kind (perceptual experience, thought, emotion, etc.); "without recall" [1], if the participant reported the impression of having had an experience, but no contents were recalled; "No experience" [0], if the participant reported no memory or impression of having had an experience before the awakening. <br> <br> ---Technical details--- <br> All recordings were performed in Italy, in the participants' home environment, and may contain line noise at 50 Hz. A list of (manually marked) EEG bad channels is included in the last column of the Records.csv file (see Data preprocessing section). <br> Pulse-Oximeter recordings of subject DL049 - night 4 were lost due to technical issues and were replaced with zero-filled timeseries. <br> --Data acquisition-- <br> The DREEM device is equipped with five EEG dry electrodes (from which 7 derivations are obtained: Fp1-O1, Fp1-O2, Fp1-F7, F8-F7, F7-O1, F8-O2, Fp1-F8) to record brain activity during sleep, a pulse sensor, for measuring blood oxygen saturation and monitoring heart rate and a 3D accelerometer to measure head position and respiratory rate. EEG signals are recorded with 250 Hz sampling frequency while non-EEG signals are recorded with 50 Hz sampling frequency. <br> Each EDF file contains the following signals (in this specific order): EEG Fp1-O1, EEG Fp1-O2, EEG Fp1-F7, EEG F8-F7, EEG F7-O1, EEG F8-O2, EEG Fp1-F8, Accelerometer-X, Accelerometer-Y, Accelerometer-Z, Pulse-Oximeter (red), Pulse-Oximeter (infrared). <br> --Data preprocessing-- <br> From each recording, we extracted 140 seconds of data up to the moment of awakening. In order to allow the inclusion of EEG and non-EEG signals within the same EDF file, non-EEG signals were upsampled to 250 Hz using the MATLAB "resample" function. All signals were detrended using robust detrending Cheveigné and Arzounian, NeuroImage, 2018). The raw recordings (including uncut, whole-night data) may be requested by contacting the corresponding author. <br> The moment of awakening estimated from EEG signals was compared with the one derived from actigraphic data, as calculated by the MotionWare Sleep Analysis software (CamNtech). All cases presenting a mismatch greater than +/- 5 minutes between the two estimates were re-evaluated and subsequently rejected if we could not exclude removal of the DREEM band by the participant before the actual final awakening. <br> The time of day of each verbal recording was compared with the last awakening's timing as determined based on EEG data inspection. Only verbal reports collected within 1 hour from the moment of awakening were retained in order to exclude delayed reports that may reflect false memories or elaborations/interpretations of the original experience, while also accounting for factors that may limit the possibility to provide an immediate verbal report in the home environment. This time threshold was not applied for "no experience" reports. Most reports were provided within 10 minutes from the moment of awakening. <br> We excluded awakenings corresponding to "experience" or "experience without recall" reports in which the participant only described (potential) experiences that occurred earlier during the night (e.g., "I am not sure about my last experience, but earlier tonight I dreamed of [...]). <br> Sleep scoring was initially performed by the embedded automatic algorithm of the DREEM headband (see Arnal et al., SLEEP, 2020). A human operator re-inspected all recordings and changed the stage attributed to the last sleep epoch in case of clear mistakes of the automated algorithm. Specifically, the following changes were made: <br> REM --&gt; N2 for DL021 night 15, DL024 night 3, DL027 night 14, DL042 night 9, DL055 nights 6 and 12, DL062 night 6; N2 --&gt; REM for DL030 night 11, DL070 night 15; N2 --&gt; N1 for DL005 night 9; N1 --&gt; N2 for DL017 night 9. <br> The EEG signals were visually inspected to mark bad channels and relevant artifacts. Of note, data inspection was performed using bandpass filtered signals (0.5-35Hz, Kaiser window FIR filter). Rapid eye movements of REM sleep were not marked unless they were associated with major artifacts (e.g., signal amplitude greater than 300 µV). Only data segments with at least two "good" EEG channels were retained. Importantly, the quality of non-EEG signals was not assessed.

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Lode

Muench, John, 1914- · UNM’s Digital Repository (University of New Mexico) · 1961

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Lode

2025

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Lode

Morrison, Paul · The Journal of the Abraham Lincoln Association · 2000

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Lode

Muench, John, 1914- · UNM’s Digital Repository (University of New Mexico) · 1961

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Lode

Pirovano, D. · Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) · 2025

Cited by 0Open access

LODE

Elce, Valentina, Bergamo, Damiana, Avvenuti, Giulia et al. · Figshare · 2023

Dream EEG and Mentation (DREAM) data set <br> <br> ---Data set information--- <br> Common name: LODE Full name: The Language of Dreams Authors: Valentina Elce, Damiana Bergamo, Giulia Avvenuti, Michele Bellesi, Giulio Bernardi Location: Italy Year: 2020 - Ongoing Set ID: 3 Amendment: 0 Corresponding author ID: 6 <br> Previous publications: N/A <br> Correspondence: For information about the study or to request access to additional data, please contact Giulio Bernardi, IMT School for Advanced Studies Lucca, giulio.bernardi@imtlucca.it <br> <br> ---Metadata--- <br> Key ID: 3 Date entered: 2022-11-03T09:21:31+00:00 Number of samples: 190 Number of subjects: 28 Proportion REM: 33% Proportion N1: 4% Proportion N2: 62% Proportion experience: 62% Proportion no-experience: 31% Proportion healthy: 100% Provoked awakening: No Time of awakening: Morning Form of response: Free Date approved: 2022-11-03T09:22:12+00:00 <br> <br> ---How to decode data files--- <br> The folder "Questionnaires" contains the total scores for Pittsburgh Sleep Quality Index (PSQI), Eppworth Sleepiness Scale (ESS), and Morningness-Eveningness Questionnaire, in CSV files. For PSQI, the 7 classical subcomponents (subjective sleep quality, sleep latency, sleep duration, sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction) are included in addition to the total score. <br> <br> --Treatment group codes-- <br> N/A <br> <br> ---Experimental description--- <br> Important Note: This is an ongoing project (current version: 0.3, June 2022). Data collection is expected to reach an end in 2023. The dataset will be updated with additional subjects as soon as these are collected and processed. Additional data -including data obtained from cognitive tests and questionnaires- will be made available at the end of the project. <br> The study involves only heatlhy adult subjects. Specifically, the following inclusion criteria are applied: age 18-65, inclusive; relatively regular sleep-wake patterns; Italian only as mother tongue. The following exclusion criteria are also applied: less than 6 or more than 9 hours of sleep per night (on average); neurological, psychiatric or neurodegenerative diseases; major sleep disorders; use of medications that could affect sleep patterns, brain functioning, or behavior; known alterations of dream or imagery generation; alcohol or drug abuse; pregnancy or breastfeeding. <br> All volunteers undergo an anamnestic interview and are requested to complete several questionnaires including Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS) and Morningness-Eveningness Questionnaire. <br> Upon recruitment in the study, participants are provided with a DREEM portable EEG system, an actigraphy (MotionWatch8, CamNtech) and a voice recorder. Then, they are instructed to wear the DREEM each night at home for a minimum of 14 days and to record each morning, upon awakening from sleep, "everything that was going through their mind just before they woke up, everything they remember, every experience or thought they had before awakening." All participants are instructed to produce a verbal report also in those cases in which they had no experiences (no recall), or they had experiences the details of which they are not able to remember (white dreams). <br> At the end of the 14-days period, all volunteers participate in an additional experimental visit in the laboratory, during which they complete a battery of behavioral and cognitive tests. <br> <br> --DREAM categorization procedure-- <br> All verbal reports are evaluated and categorized as: "experience" [2], if the participant was able to remember at least one content of any kind (perceptual experience, thought, emotion, etc.); "without recall" [1], if the participant reported the impression of having had an experience, but no contents were recalled; "No experience" [0], if the participant reported no memory or impression of having had an experience before the awakening. <br> <br> ---Technical details--- <br> All recordings were performed in Italy, in the participants' home environment, and may contain line noise at 50 Hz. A list of (manually marked) EEG bad channels is included in the last column of the Records.csv file (see Data preprocessing section). <br> Pulse-Oximeter recordings of subject DL049 - night 4 were lost due to technical issues and were replaced with zero-filled timeseries. <br> --Data acquisition-- <br> The DREEM device is equipped with five EEG dry electrodes (from which 7 derivations are obtained: Fp1-O1, Fp1-O2, Fp1-F7, F8-F7, F7-O1, F8-O2, Fp1-F8) to record brain activity during sleep, a pulse sensor, for measuring blood oxygen saturation and monitoring heart rate and a 3D accelerometer to measure head position and respiratory rate. EEG signals are recorded with 250 Hz sampling frequency while non-EEG signals are recorded with 50 Hz sampling frequency. <br> Each EDF file contains the following signals (in this specific order): EEG Fp1-O1, EEG Fp1-O2, EEG Fp1-F7, EEG F8-F7, EEG F7-O1, EEG F8-O2, EEG Fp1-F8, Accelerometer-X, Accelerometer-Y, Accelerometer-Z, Pulse-Oximeter (red), Pulse-Oximeter (infrared). <br> --Data preprocessing-- <br> From each recording, we extracted 140 seconds of data up to the moment of awakening. In order to allow the inclusion of EEG and non-EEG signals within the same EDF file, non-EEG signals were upsampled to 250 Hz using the MATLAB "resample" function. All signals were detrended using robust detrending Cheveigné and Arzounian, NeuroImage, 2018). The raw recordings (including uncut, whole-night data) may be requested by contacting the corresponding author. <br> The moment of awakening estimated from EEG signals was compared with the one derived from actigraphic data, as calculated by the MotionWare Sleep Analysis software (CamNtech). All cases presenting a mismatch greater than +/- 5 minutes between the two estimates were re-evaluated and subsequently rejected if we could not exclude removal of the DREEM band by the participant before the actual final awakening. <br> The time of day of each verbal recording was compared with the last awakening's timing as determined based on EEG data inspection. Only verbal reports collected within 1 hour from the moment of awakening were retained in order to exclude delayed reports that may reflect false memories or elaborations/interpretations of the original experience, while also accounting for factors that may limit the possibility to provide an immediate verbal report in the home environment. This time threshold was not applied for "no experience" reports. Most reports were provided within 10 minutes from the moment of awakening. <br> We excluded awakenings corresponding to "experience" or "experience without recall" reports in which the participant only described (potential) experiences that occurred earlier during the night (e.g., "I am not sure about my last experience, but earlier tonight I dreamed of [...]). <br> Sleep scoring was initially performed by the embedded automatic algorithm of the DREEM headband (see Arnal et al., SLEEP, 2020). A human operator re-inspected all recordings and changed the stage attributed to the last sleep epoch in case of clear mistakes of the automated algorithm. Specifically, the following changes were made: <br> REM --&gt; N2 for DL021 night 15, DL024 night 3, DL027 night 14, DL042 night 9, DL055 nights 6 and 12, DL062 night 6; N2 --&gt; REM for DL030 night 11, DL070 night 15; N2 --&gt; N1 for DL005 night 9; N1 --&gt; N2 for DL017 night 9. <br> The EEG signals were visually inspected to mark bad channels and relevant artifacts. Of note, data inspection was performed using bandpass filtered signals (0.5-35Hz, Kaiser window FIR filter). Rapid eye movements of REM sleep were not marked unless they were associated with major artifacts (e.g., signal amplitude greater than 300 µV). Only data segments with at least two "good" EEG channels were retained. Importantly, the quality of non-EEG signals was not assessed.

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Vereeck, Lode

Vereeck, Lode · Research Publications (Maastricht University) · 2016

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Lode Metals

British Columbia. Legislative Assembly · cIRcle (University of British Columbia)

Foldout Map: Figure 5 SIMPLIFIED GEOLOGY OF THE CRAIGMONT MINE; Foldout Map: Figure 9 SKWAAM BAY LEAD ZINC SHOWING; Foldout Map: Figure 15 KENNEDY LAKE MAGNETITE ZONE; Foldout Chart: TABLE 7. - OIL AND GAS FIELDS DESIGNATED AS OF DECEMBER 31, 1961 -- p. 193; Foldout Chart: TABLE 18. - MONTHLY NATURAL-GAS DISPOSITION, 1960 AND 1961 -- p. 223

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Lode Runner

Sega · Bulletin of Miscellaneous Information (Royal Gardens Kew) · 1984

Lode Runner (ロードランナー) is a puzzle/action game originally developed by Douglas E. Smith and published by Brøderbund Software in 1983. It made its way to many home computers and video games consoles of the day including the SG-1000. Like the NES port, this version only has 50 levels instead of 150 in the original Apple II version, but is much faster.

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LODE 3x15

LA ORBITA DE ENDOR · Bulletin of Miscellaneous Information (Royal Gardens Kew)

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Lode Metals

British Columbia. Legislative Assembly · cIRcle (University of British Columbia)

Foldout Map: Figure I GEOLOGY OF PART OF THOMPSON RIVER VALLEY; Foldout Map: Figure 8 GEOLOGICAL SKETCH F.L. RIDGE AND CORDOVA MAGNETITE DEPOSITS; Foldout Map: Figure 9 PART OF 1200 LEVEL WESTERN MINES LIMITED; Foldout Map: Figure 10 KENNEDY LAKE AREA

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LODE 3x12

LA ORBITA DE ENDOR · Bulletin of Miscellaneous Information (Royal Gardens Kew)

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Lode Metals

British Columbia. Legislative Assembly · cIRcle (University of British Columbia)

Foldout Map: Figure 2 SURFACE GEOLOGY JESSIE ORE ZONE HARRIET HARBOUR; Foldout Map: Figure 6 GEOLOGY OF PART OF LODESTONE MOUNTAIN; Foldout Map: GEOLOGICAL MAP OF THE MINERAL KING AREA Figure 9; Foldout Map: Figure 13 GEOLOGICAL MAP OF PART OF THE COLUMBIA RIVER VALLEY IN THE ROCKY MOUNTAIN TRENCH

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Lode, Alois

Oesterreichisches Musiklexikon online (Institut für kunst- und musikhistorische Forschungen der Österreichischen Akademie der Wissenschaften) · 2011

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Vandamme, Lode

Vandamme, Lode · TU/e Research Portal · 2015

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LODE METALS

British Columbia. Legislative Assembly · cIRcle (University of British Columbia)

Foldout Map: BRITISH COLUMBIA MINING DIVISIONS; Foldout Map: Figure 2 DEAS LAKE MINES LTD. Geology at Gnat Lake; Foldout Map: Figure 3 SCHAFT CREEK BEDROCK GEOLOGY Bird and Sno Claims - Liard Copper Mines Ltd. Nabs Claims. Paramount Mining Ltd.; Foldout Map: Figure 8. GEOLOGY OF AJAX GROUP, MT. McGUIRE AREA; Foldout Map: Figure 9 GEOLOGY OF THE BIG ONION; Foldout Map: Figure 11. GEOLOGY IN THE VICINITY OF GLACIER GULCH, HUDSON BAY MOUNTAIN; Foldout Map: Figure 12. OLD FORT MOUNTAIN AREA; Foldout Map: Figure 15 GEOLOGY OF THE BERG Modified from company plans; Foldout Map: Figure 18 GEOLOGY OF THE RED BIRD From company plans; Foldout Map: No. 4 ZONE CHATAWAY EXPLORATION CO. LTD. (Partly after company maps) Figure 26

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Comstock Lode

L'Amour, Louis, 1908-1988 · Bulletin of Miscellaneous Information (Royal Gardens Kew) · 1981

A family travels from their native Cornwall, England to seek their fortune in the California goldfields

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