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

description: A dataset containing 147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Nepal",
 "TaxonKey is Alnus nepalensis"
 ]
}

 The dataset includes 147 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068644-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y6u49r
title: Occurrence Download

description: A dataset containing 183 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tylototriton uyenoi"
 ]
}

 The dataset includes 183 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068645-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30964613
title: Synthesis, crystal structure, Hirshfeld surface analysis and quantum chemical calculations, molecular docking studies of pyridazine-based ligand and its Zn(II) complex

description: The compound 3-chloro-6-{(2E)-2-[1-(4-methylphenyl)ethylidene]hydrazinylpyridazine (L), which was previously obtained by Ghazaryan et al., was synthesized, and the Zn<sup>II</sup>L<sub>2</sub> complex was obtained by adding Zn(NO<sub>3</sub>)<sub>2</sub>.H<sub>2</sub>O to ligand (L). The structures were elucidated by thermal, mass, molar conductivity, UV-Vis, magnetic measurements, NMR, FT-IR, ICP-OES, XRD and single-crystal X-ray techniques. The synthesis of Zn<sup>II</sup>L<sub>2</sub> was performed in a high-pressure steel reactor under controlled thermal conditions. The DFT-B3LYP/6-31G(d, p) method was preferred for all theoretical calculations. Spectroscopic data show that Zn<sup>II</sup>L<sub>2</sub> has a distorted octahedral geometry. According to in-silico studies, Zn<sup>II</sup>L<sub>2</sub> was found to have potential as a new drug candidate against breast cancer.
DOI: 10.6084/m9.figshare.30964613.v1
title: Synthesis, crystal structure, Hirshfeld surface analysis and quantum chemical calculations, molecular docking studies of pyridazine-based ligand and its Zn(II) complex

description: The compound 3-chloro-6-{(2E)-2-[1-(4-methylphenyl)ethylidene]hydrazinylpyridazine (L), which was previously obtained by Ghazaryan et al., was synthesized, and the Zn<sup>II</sup>L<sub>2</sub> complex was obtained by adding Zn(NO<sub>3</sub>)<sub>2</sub>.H<sub>2</sub>O to ligand (L). The structures were elucidated by thermal, mass, molar conductivity, UV-Vis, magnetic measurements, NMR, FT-IR, ICP-OES, XRD and single-crystal X-ray techniques. The synthesis of Zn<sup>II</sup>L<sub>2</sub> was performed in a high-pressure steel reactor under controlled thermal conditions. The DFT-B3LYP/6-31G(d, p) method was preferred for all theoretical calculations. Spectroscopic data show that Zn<sup>II</sup>L<sub>2</sub> has a distorted octahedral geometry. According to in-silico studies, Zn<sup>II</sup>L<sub>2</sub> was found to have potential as a new drug candidate against breast cancer.
DOI: 10.15468/dl.kjp8rs
title: Occurrence Download

description: A dataset containing 1001 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tylototriton verrucosus"
 ]
}

 The dataset includes 1001 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068646-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30964616
title: Facilitating a Collaborative Relationship between Generative AI and the Statistics Student

description: This article examines how students can engage with generative artificial intelligence (genAI) as collaborators in the statistics learning process. Prompt engineering is positioned as a transferable, tool-agnostic competency that reinforces core elements of statistical thinking, including clarity, iteration, and purposeful inquiry. Through illustrative collaborations, we explore applications such as automating and optimizing code, acquiring programming syntax, and designing simulation studies. While these tasks are drawn from upper-level undergraduate and graduate coursework, the running example–a chi-squared test of association–is intended to spur ideas for incorporating genAI into the introductory statistics classroom. Supplementary materials include a) an outline of a learning management module and structure of the discussion and activities during my class periods covering this module on responsible use of generative AI; b) R Markdown files and compiled pdf documents intended to support classroom integration; c) illustrative comparisons across three widely used platforms–ChatGPT, Copilot, and Gemini–to highlight how differences in output style and reasoning can inform instructional design, rather than to rank or evaluate tools technically. The article concludes with a discussion of strategies for promoting ethical, transparent, and inclusive uses of genAI in statistics education.
DOI: 10.6084/m9.figshare.30964616.v1
title: Facilitating a Collaborative Relationship between Generative AI and the Statistics Student

description: This article examines how students can engage with generative artificial intelligence (genAI) as collaborators in the statistics learning process. Prompt engineering is positioned as a transferable, tool-agnostic competency that reinforces core elements of statistical thinking, including clarity, iteration, and purposeful inquiry. Through illustrative collaborations, we explore applications such as automating and optimizing code, acquiring programming syntax, and designing simulation studies. While these tasks are drawn from upper-level undergraduate and graduate coursework, the running example–a chi-squared test of association–is intended to spur ideas for incorporating genAI into the introductory statistics classroom. Supplementary materials include a) an outline of a learning management module and structure of the discussion and activities during my class periods covering this module on responsible use of generative AI; b) R Markdown files and compiled pdf documents intended to support classroom integration; c) illustrative comparisons across three widely used platforms–ChatGPT, Copilot, and Gemini–to highlight how differences in output style and reasoning can inform instructional design, rather than to rank or evaluate tools technically. The article concludes with a discussion of strategies for promoting ethical, transparent, and inclusive uses of genAI in statistics education.
DOI: 10.15468/dl.ew9rqe
title: Occurrence Download

description: A dataset containing 2472 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hydnoporia corrugata"
 ]
}

 The dataset includes 2472 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068647-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h7v8m5
title: Occurrence Download

description: A dataset containing 15034 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Meles meles"
 ]
}

 The dataset includes 15034 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068648-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rsddsy
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tylototriton vietnamensis"
 ]
}

 The dataset includes 73 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068649-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48322/fdh3-5n37
title: PSP FIELDS Digital Fields Board (DFB) DC-coupled Differential Voltage Waveform, Dipole Mode, Level 2 (L2), 3.413 ms Data

description: PSP FIELDS Digital Fields Board, DFB, Differential Voltage data:

The DFB is the low frequency, less than 75 kHz, component of the FIELDS experiment on the Parker Solar Probe spacecraft, see reference [1] below. For a full description of the FIELDS experiment, see reference [2]. For a description of the DFB, see reference [3].

The DFB continuous waveform data consist of time series data from various FIELDS sensors. These data have been filtered by both analog and digital filters [3].

The Level 2 data products contained in this data file have been calibrated for:

* 1) DFB in-band gain
* 2) DFB analog filter gain and phase response
* 3) DFB digital filter phase response
* 4) The search coil preamplifier gain and phase response, when applicable

Calibrations for the DFB digital filter gain response have not been implemented, but the required convolution kernel is provided in this file. It was decided not to apply the digital filter gain response calibration to these Level 2 data because the application of the calibrations can introduce non-physical power at high frequencies when the non-corrected signal is dominated by noise. This effect should be examined carefully when determining spectral slopes and features at the highest frequencies. Calibrations for the FIELDS voltage sensor preamplifiers have not been implemented as the preamplifier response is flat and equal to one throughout the DFB frequency range. Corrections for plasma sheath impedance gain and antenna effective length have not been applied to the voltage sensor data. These corrections will be applied in the Level 3 DFB data products. Therefore, all voltage sensor quantities when present in these Level 2 data products are expressed by using units of Volts. Likewise, all magnetic field quantities when present in these Level 2 data products are expressed by using units of nanoTelsas.

The Level 2 data products contained in this data file are in spacecraft coordinates (e.g. x,y,z) or in sensor coordinates (e.g. dV12, dV34 for voltage measurements and [u,v,w] for the searchcoil magnetometer.

The time resolution of the DFB continuous waveform data can vary by multiples of 2^N. During encounter when PSP is within 0.25 AU of the Sun, the DFB continuous waveform data cadence is typically 256 samples/NYsecond [2].

References:

* 1) Fox, N.J., Velli, M.C., Bale, S.D. et al., Space Sci Rev (2016) 204:7. https://doi.org/10.1007/s1121401502116
* 2) Bale, S.D., Goetz, K., Harvey, P.R. et al., Space Sci Rev (2016) 204:49. https://doi.org/10.1007/s1121401602445
* 3) Malaspina, D.M., Ergun, R.E., Bolton, M. et al., JGR Space Physics (2016), 121, 5088-5096. https://doi.org/10.1002/2016JA022344
DOI: 10.48322/qhgy-hm62
title: PSP FIELDS Digital Fields Board (DFB) DC-coupled Single Ended Voltage Waveform, Monopole Mode, Level 2 (L2), PT0.027306S Data

description: PSP FIELDS Digital Fields Board, DFB, Single Ended Voltage data:

The DFB is the low frequency, less than 75 kHz, component of the FIELDS experiment on the Parker Solar Probe spacecraft, see reference [1] below. For a full description of the FIELDS experiment, see reference [2]. For a description of the DFB, see reference [3].

The DFB continuous waveform data consist of time series data from various FIELDS sensors. These data have been filtered by both analog and digital filters [3].

The Level 2 data products contained in this data file have been calibrated for:

* 1) DFB in-band gain
* 2) DFB analog filter gain and phase response
* 3) DFB digital filter phase response
* 4) The search coil preamplifier gain and phase response, when applicable

Calibrations for the DFB digital filter gain response have not been implemented, but the required convolution kernel is provided in this file. It was decided not to apply the digital filter gain response calibration to these Level 2 data because the application of the calibrations can introduce non-physical power at high frequencies when the non-corrected signal is dominated by noise. This effect should be examined carefully when determining spectral slopes and features at the highest frequencies. Calibrations for the FIELDS voltage sensor preamplifiers have not been implemented as the preamplifier response is flat and equal to one throughout the DFB frequency range. Corrections for plasma sheath impedance gain and antenna effective length have not been applied to the voltage sensor data. These corrections will be applied in the Level 3 DFB data products. Therefore, all voltage sensor quantities when present in these Level 2 data products are expressed by using units of Volts. Likewise, all magnetic field quantities when present in these Level 2 data products are expressed by using units of nanoTelsas.

The Level 2 data products contained in this data file are in spacecraft coordinates (e.g. x,y,z) or in sensor coordinates (e.g. dV12, dV34 for voltage measurements and [u,v,w] for the searchcoil magnetometer.

The time resolution of the DFB continuous waveform data can vary by multiples of 2^N. During encounter when PSP is within 0.25 AU of the Sun, the DFB continuous waveform data cadence is typically 256 samples/NYsecond [2].

References:

* 1) Fox, N.J., Velli, M.C., Bale, S.D. et al., Space Sci Rev (2016) 204:7. https://doi.org/10.1007/s1121401502116
* 2) Bale, S.D., Goetz, K., Harvey, P.R. et al., Space Sci Rev (2016) 204:49. https://doi.org/10.1007/s1121401602445
* 3) Malaspina, D.M., Ergun, R.E., Bolton, M. et al., JGR Space Physics (2016), 121, 5088-5096. https://doi.org/10.1002/2016JA022344
DOI: 10.48322/h34r-jn18
title: PSP FIELDS Digital Fields Board (DFB) Searchcoil Magnetometer Waveform, Level 2 (L2), 3.413 ms Data

description: PSP FIELDS Digital Fields Board, DFB, Search Coil Magnetometer data:

The DFB is the low frequency, less than 75 kHz, component of the FIELDS experiment on the Parker Solar Probe spacecraft, see reference [1] below. For a full description of the FIELDS experiment, see reference [2]. For a description of the DFB, see reference [3].

The DFB continuous waveform data consist of time series data from various FIELDS sensors. These data have been filtered by both analog and digital filters [3].

The Level 2 data products contained in this data file have been calibrated for:

* 1) DFB in-band gain
* 2) DFB analog filter gain and phase response
* 3) DFB digital filter phase response
* 4) The search coil preamplifier gain and phase response, when applicable

Calibrations for the DFB digital filter gain response have not been implemented, but the required convolution kernel is provided in this file. It was decided not to apply the digital filter gain response calibration to these Level 2 data because the application of the calibrations can introduce non-physical power at high frequencies when the non-corrected signal is dominated by noise. This effect should be examined carefully when determining spectral slopes and features at the highest frequencies. Calibrations for the FIELDS voltage sensor preamplifiers have not been implemented as the preamplifier response is flat and equal to one throughout the DFB frequency range. Corrections for plasma sheath impedance gain and antenna effective length have not been applied to the voltage sensor data. These corrections will be applied in the Level 3 DFB data products. Therefore, all voltage sensor quantities when present in these Level 2 data products are expressed by using units of Volts. Likewise, all magnetic field quantities when present in these Level 2 data products are expressed by using units of nanoTelsas.

The Level 2 data products contained in this data file are in spacecraft coordinates (e.g. x,y,z) or in sensor coordinates (e.g. dV12, dV34 for voltage measurements and [u,v,w] for the searchcoil magnetometer.

The time resolution of the DFB continuous waveform data can vary by multiples of 2^N. During encounter when PSP is within 0.25 AU of the Sun, the DFB continuous waveform data cadence is typically 256 samples/NYsecond [2].

References:

* 1) Fox, N.J., Velli, M.C., Bale, S.D. et al., Space Sci Rev (2016) 204:7. https://doi.org/10.1007/s1121401502116
* 2) Bale, S.D., Goetz, K., Harvey, P.R. et al., Space Sci Rev (2016) 204:49. https://doi.org/10.1007/s1121401602445
* 3) Malaspina, D.M., Ergun, R.E., Bolton, M. et al., JGR Space Physics (2016), 121, 5088-5096. https://doi.org/10.1002/2016JA022344
DOI: 10.48322/qvh5-g747
title: PSP FIELDS Digital Fields Board Single Ended Voltage Burst Waveform, Data

description: PSP FIELDS Digital Fields Board (DFB), Single Ended Voltage data.
The DFB is the low frequency (< 75 kHz) component of the FIELDS experiment on the Parker Solar Probe spacecraft [1]. For a full description of the FIELDS experiment, see [2]. For a description of the DFB, see [3].
DFB burst waveform data consist of short bursts of time-series data from various FIELDS sensors. These data have been filtered by both analog and digital filters [3]. These data are pre-sorted by on-board competitive selection algorithms described in [3] before storage by FIELDS. A sub-set of this stored burst data is telemetered to Earth for scientist-selected regions of interest.
The Level 2 data products contained in this data file have been calibrated for (i) DFB in-band gain, (ii) DFB analog filter gain/phase response, (iii) DFB digital filter phase response, and (iv) the search coil preamplifier gain/phase response (when applicable).
Calibrations for the FIELDS voltage sensor preamplifiers have not been implemented, as the preamplifier response is flat and equal to 1 through the DFB frequency range.  Corrections for plasma sheath impedance gain and antenna effective length have not been applied to the voltage sensor data (these corrections will be applied in Level 3 DFB data), therefore units for all voltage sensor quantities are Volts.  Units for all magnetic field quantities are nT.
The Level 2 data products contained in this data file are in sensor coordinates (e.g. dV12, dV34 for voltage measurements, and u,v,w for the search coil magnetometer).
Time resolution for the DFB burst waveform data can vary by multiples of 2^N.  During encounter (when PSP is within 0.25 AU of the Sun), cadence for the DFB burst waveform data is typically 150,000 samples/second.  This rate is the sample rate of the ADC, and data taken at this rate do not pass through a digital filter.
References:
1. Fox, N.J., Velli, M.C., Bale, S.D. et al. Space Sci Rev (2016) 204: 7. https://doi.org/10.1007/s1121401502116
2. Bale, S.D., Goetz, K., Harvey, P.R. et al. Space Sci Rev (2016) 204: 49. https://doi.org/10.1007/s1121401602445
3. Malaspina, D.M., Ergun, R.E., Bolton, M. et al. (2016) JGR Space Physics, 121, 5088-5096. https://doi.org/10.1002/2016JA022344
DOI: 10.48322/sn3j-1a94
title: PSP FIELDS TDS Dust Database

description: Database of dust impact detections on Parker Solar Probe via impact plasma clouds detected by the FIELDS instrument, TDS receiver. Each file contains data relevant to (i) individual dust impacts (events), (ii) impact rates (rates), and (ii) ancillary information important for interpreting the dust impact data (spacecraft pointing, position).
References:
[1] Bale, S.D. et al. "The FIELDS Instrument Suite for Solar Probe Plus. Measuring the Coronal Plasma and Magnetic Field, Plasma Waves and Turbulence, and Radio Signatures of Solar Transients" Space Science Reviews, Volume 204, Issue 1-4, pp. 49-82, December 2016, https://doi.org/10.1007/s11214-016-0244-5
[2] Malaspina, D.M. et al. "A dust detection database for the inner heliosphere using the Parker Solar Probe spacecraft", The Astrophysical Journal Supplement Series, Volume 266, Number 2, May 2023, https://doi.org/10.3847/1538-4365/acca75
DOI: 10.48322/8khn-cs70
title: PSP FIELDS F2 Time Domain Sampler (F2 TDS) 100 bit/s Summary Telemetry, Level 2 (L2), 8 s Data

description: PSP FIELDS F2 100 bps Summary Telemetry Data
DOI: 10.48322/wqcs-a534
title: PSP FIELDS Fluxgate Magnetometer (MAG) Magnetic Field Vectors, Radial-Tangential-Normal, RTN, Coordinates, 4 samples/cycle, Level 2 (L2), 3.413 ms Data

description: Parker Solar Probe FIELDS Instrument Suite Fluxgate Magnetometer, MAG, Data: The time resolution of the MAG time series data varies with instrument mode ranging from 2.289 samples/s to 292.9 samples/s. These two data sampling rates corresponding to 2 samples or 256 samples per 0.874 s where 0.874 s is equal to 2^25 divided 38.4 MHz. See reference [2] for a complete explanation of the MAG instrument sampling methodology. The Magnetometer has four ranges: ±1024 nT, ±4096 nT, ±16,384 nT, and ±65,536 nT. The Magnetometer Range is selected by an algorithm based on the strength of the ambient magnetic field. The magnetic field measurement precision is ±15 bits, based on the 16-bit Analog to Digital Converter, ADC.

References:

* 1. Fox, N.J., Velli, M.C., Bale, S.D. et al. Space Sci Rev (2016) 204: 7. https://doi.org/10.1007/s11214-015-0211-6
* 2. Bale, S.D., Goetz, K., Harvey, P.R. et al. Space Sci Rev (2016) 204: 49. https://doi.org/10.1007/s11214-016-0244-5
DOI: 10.48322/0yy0-ba92
title: PSP FIELDS Fluxgate Magnetometer (MAG) Magnetic Field Vectors, Radial-Tangential-Normal, RTN, Coordinates, Full Resolution, Level 2 (L2), 3.413 ms Data

description: Parker Solar Probe FIELDS Instrument Suite Fluxgate Magnetometer, MAG, Data: The time resolution of the MAG time series data varies with instrument mode ranging from 2.289 samples/s to 292.9 samples/s. These two data sampling rates corresponding to 2 samples or 256 samples per 0.874 s where 0.874 s is equal to 2^25 divided 38.4 MHz. See reference [2] for a complete explanation of the MAG instrument sampling methodology. The Magnetometer has four ranges: ±1024 nT, ±4096 nT, ±16,384 nT, and ±65,536 nT. The Magnetometer Range is selected by an algorithm based on the strength of the ambient magnetic field. The magnetic field measurement precision is ±15 bits, based on the 16-bit Analog to Digital Converter, ADC.

References:

* 1. Fox, N.J., Velli, M.C., Bale, S.D. et al. Space Sci Rev (2016) 204: 7. https://doi.org/10.1007/s11214-015-0211-6
* 2. Bale, S.D., Goetz, K., Harvey, P.R. et al. Space Sci Rev (2016) 204: 49. https://doi.org/10.1007/s11214-016-0244-5
DOI: 10.48322/c0zj-xf76
title: PSP FIELDS Fluxgate Magnetometer (MAG) Magnetic Field Vectors, Radial-Tangential-Normal, RTN, Coordinates, Level 2 (L2), 1 min Data

description: Parker Solar Probe FIELDS Instrument Suite Fluxgate Magnetometer, MAG, Data: The time resolution of the MAG time series data varies with instrument mode ranging from 2.289 samples/s to 292.9 samples/s. These two data sampling rates corresponding to 2 samples or 256 samples per 0.874 s where 0.874 s is equal to 2^25 divided 38.4 MHz. See reference [2] for a complete explanation of the MAG instrument sampling methodology. The Magnetometer has four ranges: ±1024 nT, ±4096 nT, ±16,384 nT, and ±65,536 nT. The Magnetometer Range is selected by an algorithm based on the strength of the ambient magnetic field. The magnetic field measurement precision is ±15 bits, based on the 16-bit Analog to Digital Converter, ADC.

References:

* 1. Fox, N.J., Velli, M.C., Bale, S.D. et al. Space Sci Rev (2016) 204: 7. https://doi.org/10.1007/s11214-015-0211-6
* 2. Bale, S.D., Goetz, K., Harvey, P.R. et al. Space Sci Rev (2016) 204: 49. https://doi.org/10.1007/s11214-016-0244-5