cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/xfj9-qf76
title: Parkes observations for project P1335 semester 2024OCTS_05

description: We request six observations for ASKAP~J1832--0911, a 44-minute Ultra-long period object, with Murriyang ultra-wide-bandwidth low-frequency receiver (UWL). The proposed observation can help us measure and understand different kinds of sub-structures of the pulse over a wide frequency range. The observation can also serve as a pilot observation to develop a method to measure wide pulses with a single-dish telescope. This observation will help us measure the physical parameters of the source and its surrounding environment, and will also help us map the system geometry so that we can model the emission mechanism.
DOI: 10.5066/p13ab8nw
title: Probability of Streamflow Permanence (PROSPER) Model version 2.1 Output Layers for the Pacific Northwest region, 2004 - 2016

description: This data release contains the model inputs, outputs, and source code (written in R) for a redeveloped PRObability of Streamflow PERmanence (PROSPER) model (version 2.1) that had previously been developed for the Pacific Northwest Region (PROSPER_PNW_2), and a raster data set which shows where influential predictor values were outside the range of calibration data. The PROSPER-PNW version 2.1 model, a random forest model, was redeveloped in the Ranger R package using all the original model inputs consistent with PROSPER_PNW_2 to produce annual streamflow permanence probabilities for calendar years 2004-2016 at a 30-meter stream grid resolution that approximately corresponds to flowlines consistent with the National Hydrography Dataset Medium Resolution (NHD MR). Updated streamflow permanence probabilities ranged from 0 to 1 and were adjusted for the spatial variability in threshold determination of membership of permanence class. The adjusted streamflow permanence probabilities also have an associated estimated standard error. Streamflow permanence class rasters are class determinations based on the adjusted streamflow permanence probability and standard error and replaces the streamflow permanence class from PROSPER_PNW_2.
DOI: 10.25919/et4w-zh30
title: Parkes observations for project P1345 semester 2024OCTS_14

description: This proposal aims to obtain timing solutions and constrain burst rates and spin down properties of a sample of new rotating radio transients (RRATs) discovered with the ASKAP CRAFT Coherent upgrade (CRACO) system. 
 In the last 6-months of commissioning, CRACO discovered and localised 10 new RRATs, identified by their sporadic pulses with dispersion measures (DM) consistent with Galactic objects. 
 
 We request 15h of Parkes time split into three 30min observations spanning 6-months for each target. 
 This will allow us to constrain phase-coherent timing solutions given that we already have arcsec-precision interferometric localisations. 
 Our main science goals are: 
 1) to measure their burst rates, periods, and spin-down properties; 
 2) to assess their nulling fraction and emission mechanism
 3) to determine if the CRACO RRATs are different to the known RRATs population.
DOI: 10.25919/nerz-gz49
title: Parkes observations for project P1347 semester 2024OCTS_04

description: A MeerKAT imaging survey of the Galactic Center and Bulge region yielded the detections of 39 known pulsars and 30 pulsar candidates. The candidates were identified primarily as steep-spectrum, circularly- and/or linearly-polarized sources, and to a lesser degree by the level of radio variability observed. We have chosen nine pulsar candidates to target in this proposal. These sources are the most pulsar-like of the MeerKAT point sources (based on their polarization, spectral index, and variability) that also have large enough flux densities to make a firm detection of pulsations if present. We propose to observe these nine candidates twice, for 1.5 hr each, in the 2024OCT semester.
DOI: 10.5281/zenodo.14840009
title: unimpeded: walcdm bicep_keck_2018+planck_2018_CamSpec_nolens

description: cosmological model:walcdm, dataset:bicep_keck_2018+planck_2018_CamSpec_nolens
DOI: 10.5281/zenodo.14840010
title: unimpeded: walcdm bicep_keck_2018+planck_2018_CamSpec_nolens

description: cosmological model:walcdm, dataset:bicep_keck_2018+planck_2018_CamSpec_nolens
DOI: 10.5281/zenodo.14847080
title: Raw data of the research paper
DOI: 10.5281/zenodo.10684233
title: PUDL Raw EPA CAMD to EIA Data Crosswalk

description: A file created collaboratively by EPA and EIA that connects EPA CEMS smokestacks (unitids) with corresponding EIA plant part ids reported in EIA Forms 860 and 923 (plant_id_eia, boiler_id, generator_id). This one-to-many connection is necessary because pollutants from various plant parts are collectively emitted and measured from one point-source. Archived from https://github.com/USEPA/camd-eia-crosswalk

This archive contains raw input data for the Public Utility Data Liberation (PUDL) software developed by Catalyst Cooperative. It is organized into Frictionless Data Packages. For additional information about this data and PUDL, see the following resources:



The PUDL Repository on GitHub

PUDL Documentation

Other Catalyst Cooperative data archives
DOI: 10.5281/zenodo.10966110
title: PUDL Raw EPA CAMD to EIA Data Crosswalk

description: A file created collaboratively by EPA and EIA that connects EPA CEMS smokestacks (unitids) with corresponding EIA plant part ids reported in EIA Forms 860 and 923 (plant_id_eia, boiler_id, generator_id). This one-to-many connection is necessary because pollutants from various plant parts are collectively emitted and measured from one point-source. Archived from https://github.com/USEPA/camd-eia-crosswalk

This archive contains raw input data for the Public Utility Data Liberation (PUDL) software developed by Catalyst Cooperative. It is organized into Frictionless Data Packages. For additional information about this data and PUDL, see the following resources:



The PUDL Repository on GitHub

PUDL Documentation

Other Catalyst Cooperative data archives
DOI: 10.5281/zenodo.11111204
title: PUDL Raw EPA CAMD to EIA Data Crosswalk

description: A file created collaboratively by EPA and EIA that connects EPA CEMS smokestacks (unitids) with corresponding EIA plant part ids reported in EIA Forms 860 and 923 (plant_id_eia, boiler_id, generator_id). This one-to-many connection is necessary because pollutants from various plant parts are collectively emitted and measured from one point-source. Archived from https://github.com/USEPA/camd-eia-crosswalk

This archive contains raw input data for the Public Utility Data Liberation (PUDL) software developed by Catalyst Cooperative. It is organized into Frictionless Data Packages. For additional information about this data and PUDL, see the following resources:



The PUDL Repository on GitHub

PUDL Documentation

Other Catalyst Cooperative data archives
DOI: 10.5281/zenodo.14745206
title: PUDL Raw EPA CAMD to EIA Data Crosswalk

description: A file created collaboratively by EPA and EIA that connects EPA CEMS smokestacks (unitids) with corresponding EIA plant part ids reported in EIA Forms 860 and 923 (plant_id_eia, boiler_id, generator_id). This one-to-many connection is necessary because pollutants from various plant parts are collectively emitted and measured from one point-source. Archived from https://github.com/USEPA/camd-eia-crosswalk

This archive contains raw input data for the Public Utility Data Liberation (PUDL) software developed by Catalyst Cooperative. It is organized into Frictionless Data Packages. For additional information about this data and PUDL, see the following resources:



The PUDL Repository on GitHub

PUDL Documentation

Other Catalyst Cooperative data archives
DOI: 10.5281/zenodo.14834878
title: PUDL Raw EPA CAMD to EIA Data Crosswalk

description: A file created collaboratively by EPA and EIA that connects EPA CEMS smokestacks (unitids) with corresponding EIA plant part ids reported in EIA Forms 860 and 923 (plant_id_eia, boiler_id, generator_id). This one-to-many connection is necessary because pollutants from various plant parts are collectively emitted and measured from one point-source. Archived from https://github.com/USEPA/camd-eia-crosswalk

This archive contains raw input data for the Public Utility Data Liberation (PUDL) software developed by Catalyst Cooperative. It is organized into Frictionless Data Packages. For additional information about this data and PUDL, see the following resources:



The PUDL Repository on GitHub

PUDL Documentation

Other Catalyst Cooperative data archives
DOI: 10.5281/zenodo.6633770
title: PUDL Raw EPA CEMS unitid to EIA Plant Crosswalk

description: A file created collaboratively by EPA and EIA that connects EPA CEMS smokestacks (unitids) with cooresponding EIA plant part ids reported in EIA Forms 860 and 923 (plant_id_eia, boiler_id, generator_id). This one-to-many connection is necessary because pollutants from various plant parts are collecitvely emitted and measured from one point-source. Archived from https://github.com/USEPA/camd-eia-crosswalk This archive contains raw input data for the Public Utility Data Liberation (PUDL) software developed by Catalyst Cooperative. It is organized into Frictionless Data Packages. For additional information about this data and PUDL, see the following resources: The PUDL Repository on GitHub PUDL Documentation Other Catalyst Cooperative data archives
DOI: 10.5281/zenodo.7063255
title: PUDL Raw EPA CAMD to EIA Data Crosswalk

description: A file created collaboratively by EPA and EIA that connects EPA CEMS smokestacks (unitids) with cooresponding EIA plant part ids reported in EIA Forms 860 and 923 (plant_id_eia, boiler_id, generator_id). This one-to-many connection is necessary because pollutants from various plant parts are collecitvely emitted and measured from one point-source. Archived from https://github.com/USEPA/camd-eia-crosswalk This archive contains raw input data for the Public Utility Data Liberation (PUDL) software developed by Catalyst Cooperative. It is organized into Frictionless Data Packages. For additional information about this data and PUDL, see the following resources: The PUDL Repository on GitHub PUDL Documentation Other Catalyst Cooperative data archives
DOI: 10.5281/zenodo.7650939
title: PUDL Raw EPA CAMD to EIA Data Crosswalk

description: A file created collaboratively by EPA and EIA that connects EPA CEMS smokestacks (unitids) with cooresponding EIA plant part ids reported in EIA Forms 860 and 923 (plant_id_eia, boiler_id, generator_id). This one-to-many connection is necessary because pollutants from various plant parts are collecitvely emitted and measured from one point-source. Archived from https://github.com/USEPA/camd-eia-crosswalk This archive contains raw input data for the Public Utility Data Liberation (PUDL) software developed by Catalyst Cooperative. It is organized into Frictionless Data Packages. For additional information about this data and PUDL, see the following resources: The PUDL Repository on GitHub PUDL Documentation Other Catalyst Cooperative data archives
DOI: 10.5281/zenodo.7900974
title: PUDL Raw EPA CAMD to EIA Data Crosswalk

description: A file created collaboratively by EPA and EIA that connects EPA CEMS smokestacks (unitids) with cooresponding EIA plant part ids reported in EIA Forms 860 and 923 (plant_id_eia, boiler_id, generator_id). This one-to-many connection is necessary because pollutants from various plant parts are collecitvely emitted and measured from one point-source. Archived from https://github.com/USEPA/camd-eia-crosswalk

This archive contains raw input data for the Public Utility Data Liberation (PUDL) software developed by Catalyst Cooperative. It is organized into Frictionless Data Packages. For additional information about this data and PUDL, see the following resources:



The PUDL Repository on GitHub

PUDL Documentation

Other Catalyst Cooperative data archives
DOI: 10.5281/zenodo.14839653
title: unimpeded: wlcdm planck_2018_plik_nolens+sn.pantheon

description: cosmological model:wlcdm, dataset:planck_2018_plik_nolens+sn.pantheon
DOI: 10.5281/zenodo.14839654
title: unimpeded: wlcdm planck_2018_plik_nolens+sn.pantheon

description: cosmological model:wlcdm, dataset:planck_2018_plik_nolens+sn.pantheon
DOI: 10.15468/dl.h46dhy
title: Occurrence Download

description: A dataset containing 1356 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erysimum incanum Kunze"
 ]
}

 The dataset includes 1356 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023054-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14839630
title: unimpeded: klcdm planck_2018_plik+sn.pantheon

description: cosmological model:klcdm, dataset:planck_2018_plik+sn.pantheon
DOI: 10.5281/zenodo.14839631
title: unimpeded: klcdm planck_2018_plik+sn.pantheon

description: cosmological model:klcdm, dataset:planck_2018_plik+sn.pantheon
DOI: 10.6073/pasta/2e65fc0a94a75e559a25368b7d3e62c4
title: Cascade Project at North Temperate Lakes LTER High Frequency Sonde Data from Spatial Dynamics Experiment 2018 - 2019

description: High-frequency continuous data for temperature, dissolved oxygen, pH, chlorophyll-a, and phycocyanin in Paul Peter lakes from mid-May to early September for the years 2018 and 2019. Inorganic nitrogen and phosphorus were added to Peter in 2019, while Paul Lake was an unfertilized reference.
DOI: 10.60508/38wa-7m05
title: Harvard Electroencephalography Database

description: The Harvard EEG Database will encompass data gathered from four hospitals
affiliated with Harvard University: Massachusetts General Hospital (MGH),
Brigham and Women's Hospital (BWH), Beth Israel Deaconess Medical Center
(BIDMC), and Boston Children's Hospital (BCH). The EEG data includes three
types:

  * rEEG: "routine EEGs" recorded in the outpatient setting.
  * EMU: recordings obtained in the inpatient setting, within the Epilepsy Monitoring Unit (EMU).
  * ICU/LTM: recordings obtained from acutely and critically ill patients within the intensive care unit (ICU).
DOI: 10.60508/7651-3337
title: Harvard Electroencephalography Database

description: The Harvard EEG Database will encompass data gathered from four hospitals
affiliated with Harvard University: Massachusetts General Hospital (MGH),
Brigham and Women's Hospital (BWH), Beth Israel Deaconess Medical Center
(BIDMC), and Boston Children's Hospital. The EEG data includes three types:

  * rEEG: "routine EEGs" recorded in the outpatient setting.
  * EMU: recordings obtained in the inpatient setting, within the Epilepsy Monitoring Unit (EMU).
  * ICU: recordings obtained from acutely and critically ill patients within the intensive care unit (ICU).
DOI: 10.60508/g6m4-bf96
title: Harvard Electroencephalography Database

description: The Harvard EEG Database will encompass data gathered from four hospitals
affiliated with Harvard University: Massachusetts General Hospital (MGH),
Brigham and Women's Hospital (BWH), Beth Israel Deaconess Medical Center
(BIDMC), and Boston Children's Hospital (BCH). The EEG data includes three
types:

  * rEEG: "routine EEGs" recorded in the outpatient setting.
  * EMU: recordings obtained in the inpatient setting, within the Epilepsy Monitoring Unit (EMU).
  * ICU/LTM: recordings obtained from acutely and critically ill patients within the intensive care unit (ICU).
DOI: 10.60508/xbsx-vr76
title: Harvard Electroencephalography Database

description: The Harvard EEG Database will encompass data gathered from four hospitals
affiliated with Harvard University: Massachusetts General Hospital (MGH),
Brigham and Women's Hospital (BWH), Beth Israel Deaconess Medical Center
(BIDMC), and Boston Children's Hospital (BCH). The EEG data includes three
types:

  * rEEG: "routine EEGs" recorded in the outpatient setting.
  * EMU: recordings obtained in the inpatient setting, within the Epilepsy Monitoring Unit (EMU).
  * ICU/LTM: recordings obtained from acutely and critically ill patients within the intensive care unit (ICU).
DOI: 10.60508/gb5n-0q93
title: Harvard Electroencephalography Database

description: The Harvard EEG Database will encompass data gathered from four hospitals
affiliated with Harvard University: Massachusetts General Hospital (MGH),
Brigham and Women's Hospital (BWH), Beth Israel Deaconess Medical Center
(BIDMC), and Boston Children's Hospital (BCH). The EEG data includes three
types:

  * rEEG: "routine EEGs" recorded in the outpatient setting.
  * EMU: recordings obtained in the inpatient setting, within the Epilepsy Monitoring Unit (EMU).
  * ICU/LTM: recordings obtained from acutely and critically ill patients within the intensive care unit (ICU).
DOI: 10.60508/k85b-fc87
title: Harvard Electroencephalography Database

description: The Harvard EEG Database will encompass data gathered from four hospitals
affiliated with Harvard University: Massachusetts General Hospital (MGH),
Brigham and Women's Hospital (BWH), Beth Israel Deaconess Medical Center
(BIDMC), and Boston Children's Hospital (BCH). The EEG data includes three
types:

  * rEEG: "routine EEGs" recorded in the outpatient setting.
  * EMU: recordings obtained in the inpatient setting, within the Epilepsy Monitoring Unit (EMU).
  * ICU/LTM: recordings obtained from acutely and critically ill patients within the intensive care unit (ICU).
DOI: 10.5281/zenodo.14839591
title: unimpeded: wlcdm des_y1.joint+sn.pantheon

description: cosmological model:wlcdm, dataset:des_y1.joint+sn.pantheon
DOI: 10.5281/zenodo.14839592
title: unimpeded: wlcdm des_y1.joint+sn.pantheon

description: cosmological model:wlcdm, dataset:des_y1.joint+sn.pantheon
DOI: 10.15468/dl.9yjjm7
title: Occurrence Download

description: A dataset containing 9226 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Tunisia",
 "DatasetKey is A global database for the distributions of crop wild relatives"
 ]
}

 The dataset includes 9226 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023055-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/e3qz-dp78
title: Parkes observations for project P1334 semester 2024OCTS_04

description: The Galactic Centre is the most complex and dynamic region of our Galaxy. Radio images have revealed a plethora of filamentary structures that trace out magnetic fields running perpendicular to the Galactic plane. Exactly what powers the radio emission of these filaments had remained a mystery, until the serendipitous discovery of a pulsar embedded in one. With a spin-period of 8.4 ms, PSR J1744-2946 is the first ever millisecond pulsar to be discovered in the central region of our Galaxy. While an exciting discovery in its own right, the limited timing baseline leaves open several unanswered questions: How efficiently is the pulsar injecting energy into the radio filament? Could the pulsar be included in pulsar timing array experiments? And can it be used as a key component in the search for axion dark matter? In this proposal we will use the Ultra-Wideband Low receiver system on Murriyang to conduct regular, monthly observations of PSR J1744-2946. This will provide us with a measurement of the pulsar spin-down rate and a sense of its long-term stability, thereby providing answers to the questions posed above.
DOI: 10.25919/tn46-pz19
title: Parkes observations for project P1336 semester 2024OCTS_02

description: This proposal aims to confirm the periodic radio pulsations of the polarised sources identified in the MeerKAT Bulge imaging survey. Discovering pulsars through blind single-dish radio surveys and traditional search methods can be impractical due to excess pulse smearing towards the Galactic center and the steep-spectrum nature of the pulsars. However, targeted searches on pulsar candidates discovered in imaging surveys based on their polarization properties are proving to be an extremely useful alternative. Given their potential visibility primarily at higher frequencies due to the less pronounced effect of scattering at these frequencies, the Ultra Wide Low Band (UWL) receiver of the Parkes Radio Telescope (Murriyang) is the most promising instrument to confirm their pulsar nature. We hence request Parkes/Murriyang UWL observations of these candidates to search for pulsations.
DOI: 10.25919/d26h-jv72
title: Parkes observations for project P1337 semester 2024OCTS_04

description: For spider pulsars, the companion is evaporated by the pulsar winds and high-energy emissions, causing material to be blown from the companion, which can result in radio eclipses. Radio observations of these eclipses are key to understanding the properties of the eclipse medium. In this proposal, we aim to study the eclipse phenomena of spider pulsars using the UWL receiver at the Parkes telescope. We have three goals: (a) measure the duration of eclipse across a wide bandwidth. We will study the frequency dependence of the eclipse and analyze the eclipse mechanisms at different observational frequencies, (b) study the depolarization of linear polarization. The depolarization of spider pulsars is proposed to be caused by multipath propagation, where the degree of depolarization is expected to be proportional to $\exp(f^{-4})$. The UWL observations will allow us to examine this method across a wide bandwidth for the first time, (c) measure dispersion measure (DM) variation at the eclipse boundary. The UWL observations will enable us to measure the DM variation more accurately at the eclipse boundary. This will allow us to estimate the mass loss rate of the companion, providing a timescale over which the companion will be completely destroyed.
DOI: 10.15468/dl.gesput
title: Occurrence Download

description: A dataset containing 8082 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cleora Curtis, 1825"
 ]
}

 The dataset includes 8082 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023056-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14839554
title: unimpeded: klcdm des_y1.joint+sn.pantheon

description: cosmological model:klcdm, dataset:des_y1.joint+sn.pantheon
DOI: 10.5281/zenodo.14839555
title: unimpeded: klcdm des_y1.joint+sn.pantheon

description: cosmological model:klcdm, dataset:des_y1.joint+sn.pantheon
DOI: 10.21227/1pcy-5n94
title: WiFi CSI of indoor intrusion

description: This dataset comprises Channel State Information (CSI) data collected from WiFi signals in six indoor environments, specifically designed for research in indoor intrusion detection. The dataset captures fine-grained variations in wireless signals caused by human, which are indicative of potential intrusions. CSI data, extracted from commercial WiFi chipsets, provides detailed amplitude and phase information across subcarriers, enabling robust detection of subtle environmental changes. The dataset includes labeled samples for various intrusions, such as walking, running, and sneaking, as well as intrusion scenarios like unauthorized entry or loitering. It is collected in diverse indoor settings with varying layouts, furniture, and interference levels to ensure generalizability. This dataset is intended to support the development and evaluation of machine learning and signal processing algorithms for accurate, real-time indoor intrusion detection systems. It is particularly valuable for researchers working on WiFi-based sensing, human activity recognition, and security applications.