cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17900883
title: Institutions économiques et croissance économique au Sénégal : une approche par le modèle ARDL

description: L’objectif de ce papier est de ressortir les incidences des institutions économiques sur la croissance économique au Sénégal allant de la période de 1996 - 2023. Nous utilisons le modèle ARDL pour analyser le lien entre qualité des institutions économiques et croissance économique. Cette méthode Autorégressif à Retard échelonné ou distribué nous a permis de voir les dynamiques de court et de long terme des variables d’intérêt à savoir l’institution privée ou droits de propriété et l’institution publique ou qualité de régulation. Les résultats de l’analyse empirique conduisent à conclure que les institutions publiques influencent positivement la croissance économique à court terme mais à long terme son effet reste mitigé. Les institutions privées influencent positivement la croissance économique du Sénégal entre 1996-2023. Mais son effet est plus significatif   dans le long terme que le court terme.
DOI: 10.5281/zenodo.17900884
title: Institutions économiques et croissance économique au Sénégal : une approche par le modèle ARDL

description: L’objectif de ce papier est de ressortir les incidences des institutions économiques sur la croissance économique au Sénégal allant de la période de 1996 - 2023. Nous utilisons le modèle ARDL pour analyser le lien entre qualité des institutions économiques et croissance économique. Cette méthode Autorégressif à Retard échelonné ou distribué nous a permis de voir les dynamiques de court et de long terme des variables d’intérêt à savoir l’institution privée ou droits de propriété et l’institution publique ou qualité de régulation. Les résultats de l’analyse empirique conduisent à conclure que les institutions publiques influencent positivement la croissance économique à court terme mais à long terme son effet reste mitigé. Les institutions privées influencent positivement la croissance économique du Sénégal entre 1996-2023. Mais son effet est plus significatif   dans le long terme que le court terme.
DOI: 10.6084/m9.figshare.30861686
title: Study on the Feasibility of Halide Perovskite Material based Gas Sensor for NO2 and NH3 Detection in Environmental Monitoring Applications

description: The identification of toxic gases, including ammonia (NH<sub>3</sub>) and nitrogen dioxide (NO<sub>2</sub>), at room temperature (RT) is essential for environmental monitoring and public health. Recently, halide perovskites (HP) have surfaced as intriguing candidates for gas sensing applications, attributed to their adjustable optoelectronic characteristics and robust interactions with gases. This research conducts a feasibility study of HP (MAPbCl<sub>3</sub>, CsPbCl<sub>3</sub>, and FAPbCl<sub>3</sub>)-based gas sensor for the detection of NH<sub>3</sub> and NO<sub>2</sub> utilizing COMSOL Multiphysics. The sensor architecture comprises of a HP sensing layer, interdigitated gold electrodes, a ruthenium dioxide heating element, and an alumina substrate. It is observed that MAPbCl<sub>3</sub>-built gas sensor exhibited exceptional performance, achieving sensitivities of 0.232 ppm<sup>-1</sup> for NO<sub>2</sub> and 0.2187 ppm<sup>-1</sup> for NH<sub>3</sub>, alongside low limits of detection of 1 ppm and 3 ppm, respectively. Furthermore, it has demonstrated exceptional selectivity against a collection of various interfering gases and rapid response/recovery times (1.4 s/0.7 s for NO<sub>2</sub> and 1.5 s/0.8 s for NH<sub>3</sub>). These augmented sensing characteristics can be accredited to the high lattice polarity and strong hydrogen bonding in MAPbCl<sub>3</sub>, which promotes efficient charge transfer during redox reactions. The findings indicate that MAPbCl<sub>3</sub> is an auspicious candidate for low-power, high-performance toxic gas sensors functioning at RT.
DOI: 10.6084/m9.figshare.30861686.v1
title: Study on the Feasibility of Halide Perovskite Material based Gas Sensor for NO2 and NH3 Detection in Environmental Monitoring Applications

description: The identification of toxic gases, including ammonia (NH<sub>3</sub>) and nitrogen dioxide (NO<sub>2</sub>), at room temperature (RT) is essential for environmental monitoring and public health. Recently, halide perovskites (HP) have surfaced as intriguing candidates for gas sensing applications, attributed to their adjustable optoelectronic characteristics and robust interactions with gases. This research conducts a feasibility study of HP (MAPbCl<sub>3</sub>, CsPbCl<sub>3</sub>, and FAPbCl<sub>3</sub>)-based gas sensor for the detection of NH<sub>3</sub> and NO<sub>2</sub> utilizing COMSOL Multiphysics. The sensor architecture comprises of a HP sensing layer, interdigitated gold electrodes, a ruthenium dioxide heating element, and an alumina substrate. It is observed that MAPbCl<sub>3</sub>-built gas sensor exhibited exceptional performance, achieving sensitivities of 0.232 ppm<sup>-1</sup> for NO<sub>2</sub> and 0.2187 ppm<sup>-1</sup> for NH<sub>3</sub>, alongside low limits of detection of 1 ppm and 3 ppm, respectively. Furthermore, it has demonstrated exceptional selectivity against a collection of various interfering gases and rapid response/recovery times (1.4 s/0.7 s for NO<sub>2</sub> and 1.5 s/0.8 s for NH<sub>3</sub>). These augmented sensing characteristics can be accredited to the high lattice polarity and strong hydrogen bonding in MAPbCl<sub>3</sub>, which promotes efficient charge transfer during redox reactions. The findings indicate that MAPbCl<sub>3</sub> is an auspicious candidate for low-power, high-performance toxic gas sensors functioning at RT.
DOI: 10.15468/dl.9ych94
title: Occurrence Download

description: A dataset listing the 76 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Butterfly distribution records for the UK from Butterfly Conservation, up to 2019"
 ]
}

 The dataset's 76 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047373-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3p88h2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((112.72 -1.115818, 112.649724 -1.121384, 112.581177 -1.137945, 112.516046 -1.165094, 112.455936 -1.202162, 112.402324 -1.248236, 112.356532 -1.302184, 112.319686 -1.362677, 112.292694 -1.428226, 112.276222 -1.497217, 112.270675 -1.567951, 112.276192 -1.638689, 112.292638 -1.707686, 112.319608 -1.773246, 112.35644 -1.833752, 112.402228 -1.887714, 112.455844 -1.933804, 112.515968 -1.970885, 112.58112 -1.998044, 112.649694 -2.014612, 112.72 -2.02018, 112.790306 -2.014612, 112.85888 -1.998044, 112.924032 -1.970885, 112.984156 -1.933804, 113.037772 -1.887714, 113.08356 -1.833752, 113.120392 -1.773246, 113.147362 -1.707686, 113.163808 -1.638689, 113.169325 -1.567951, 113.163778 -1.497217, 113.147306 -1.428226, 113.120314 -1.362677, 113.083468 -1.302184, 113.037676 -1.248236, 112.984064 -1.202162, 112.923954 -1.165094, 112.858823 -1.137945, 112.790276 -1.121384, 112.72 -1.115818))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047393-251120083545085/datasets/export for details.
DOI: 10.6084/m9.figshare.28207769
title: Data: Intraspecific and environmental variation mediate seed finding effectiveness among scatter-hoarding small mammals

description: These data and code accompany the paper: "Merz et al. 2025: Intraspecific and environmental variation mediate seed finding effectiveness among scatter-hoarding small mammals". These data can be used to replicate all main analyses in the paper. These data are not intended for use in other publications. Please contact the authors if you would like to collaborate on a project using these data. If additional comments or questions arise, please contact Margaret at margaret.r.merz@gmail.com.
DOI: 10.6084/m9.figshare.28207769.v1
title: Draft: Intraspecific and environmental variation mediate seed finding effectiveness among scatter-hoarding small mammals

description: These data and code accompany the paper: "Merz et al. 2025: Intraspecific and environmental variation mediate seed finding effectiveness among scatter-hoarding small mammals". These data can be used to replicate all main analyses in the paper. These data are not intended for use in other publications. Please contact the authors if you would like to collaborate on a project using these data. If additional comments or questions arise, please contact Margaret at margaret.r.merz@gmail.com.
DOI: 10.6084/m9.figshare.28207769.v2
title: Data: Intraspecific and environmental variation mediate seed finding effectiveness among scatter-hoarding small mammals

description: These data and code accompany the paper: "Merz et al. 2025: Intraspecific and environmental variation mediate seed finding effectiveness among scatter-hoarding small mammals". These data can be used to replicate all main analyses in the paper. These data are not intended for use in other publications. Please contact the authors if you would like to collaborate on a project using these data. If additional comments or questions arise, please contact Margaret at margaret.r.merz@gmail.com.
DOI: 10.15468/dl.m8p5n8
title: Occurrence Download

description: A dataset containing 621942 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sterculia chicomendesii, Sterculia frondosa, Sterculia pruriens, Sterculia apetala, Sterculia blumei, Scaphium scaphigerum, Heritiera angustata, Pterygota macrocarpa, Cola porphyrantha, Pterygota alata, Brachychiton populneus, Tilia americana, Tilia americana, Tilia mandshurica, Tilia tomentosa, Tilia cordata, Tilia japonica, Mortoniodendron anisophyllum, Mortoniodendron guatemalense, Christiana africana, Pityranthe trichosperma, Brownlowia argentata, Ruizia tremula, Dombeya tremuliformis, Dombeya subviscosa, Durio zibethinus, Helicteres aspera, Helicteres eitenii, Helicteres gardneriana, Helicteres guazumifolia, Neoregnellia cubensis, Helicteres jamaicensis, Helicteres lhotzkyana, Helicteres baruensis, Helicteres vegae, Helicteres sacarolha, Helicteres semiglabra, Helicteres lanata, Helicteres integerrima, Helicteres hirsuta, Helicteres lanceolata, Helicteres trapezifolia, Triplochiton scleroxylon, Reevesia pubescens, Reevesia thyrsoidea, Reevesia thyrsoidea, Reevesia thyrsoidea, Reevesia clarkii, Malacothamnus fasciculatus, Sidalcea calycosa, Alcea rosea, Malva cachemiriana, Sida acuta, Malvastrum coromandelianum, Herissantia crispa, Abutilon indicum, Abutilon theophrasti, Hibiscus trionum, Abelmoschus esculentus, Kosteletzkya pentacarpos, Talipariti tiliaceum, Urena lobata, Bombax ceiba, Ceiba pentandra, Adansonia madagascariensis, Pachira aquatica, Pseudobombax ellipticum, Matisia cordata, Mollia lepidota, Trichospermum mexicanum, Grewia biloba, Colona floribunda, Byttneria oblongifolia, Byttneria grandifolia, Byttneria heterophylla, Ayenia micrantha, Rayleya bahiensis, Melochia oaxacana, Hermannia inflata)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 621942 records from 2801 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047357-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qcmwxu
title: Occurrence Download

description: A dataset containing 3482 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eriogonum alatum"
 ]
}

 The dataset includes 3482 records from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054803-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zamnw4
title: Occurrence Download

description: A dataset containing 311714 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2000-2003"
 ]
}

 The dataset includes 311714 records from 302 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054770-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.33xuqd
title: Occurrence Download

description: A dataset containing 5614572 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The vascular plants collection (P) at the Herbarium of the Muséum national d'Histoire Naturelle (MNHN - Paris)"
 ]
}

 The dataset includes 5614572 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054774-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7awzae
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solanum sisymbriifolium",
 "Country is Eswatini",
 "HasCoordinate is true"
 ]
}

 The dataset includes 50 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054805-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sfvbxz
title: Occurrence Download

description: A dataset containing 5793 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Randia aculeata",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5793 records from 183 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054809-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pc7yvu
title: Occurrence Download

description: A dataset containing 10836 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Antennaria carpatica"
 ]
}

 The dataset includes 10836 records from 215 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054807-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2mgyvr
title: Occurrence Download

description: A dataset containing 35710 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "Geometry POLYGON((141.82471 -44.99744,153.44691 -44.99744,153.44691 -39.60143,141.82471 -39.60143,141.82471 -44.99744))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Sarcophilus harrisii"
 ]
}

 The dataset includes 35710 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054806-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ws7ypq
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oligoryzomys rupestris"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054812-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h6gj36
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Syncomistes rastellus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 90 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054814-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4xjpjx
title: Occurrence Download

description: A dataset containing 56657 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Angelica archangelica"
 ]
}

 The dataset includes 56657 records from 461 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054728-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9yc9xd
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.28_1",
 "TaxonKey is Eutrema fontanum"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054815-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17103269
title: ophi_drift_tone.wav

description:  

from scipy.io.wavfile import writeimport numpy as np

# Sampling parametersduration = 5  # secondssample_rate = 44100  # Hzt = np.linspace(0, duration, int(sample_rate * duration), endpoint=False)

# Define symbolic tone vectors based on OPHI-like drift parameters (synthetic example)# We'll generate 3 tones that drift over timefrequencies = [220, 330, 440]  # base tones (A3, E4, A4)modulation = [0.5, 0.3, 0.2]  # amplitude modulation for drift

# Generate drifted tonessignal = sum(    mod * np.sin(2 * np.pi * freq * t * (1 + 0.01 * np.sin(2 * np.pi * 0.5 * t)))    for freq, mod in zip(frequencies, modulation))

# Normalize signalsignal /= np.max(np.abs(signal))signal *= 32767  # convert to 16-bit PCMsignal = signal.astype(np.int16)

# Save to WAVfile_path = "/mnt/data/ophi_drift_tone.wav"write(file_path, sample_rate, signal)

file_path 

--------------------------------------------------------------------------------------------------------------------------------------------

import hashlibfrom datetime import datetime

# Read the generated filewith open(file_path, "rb") as f:    file_bytes = f.read()

# Compute SHA-256 hashsha256_hash = hashlib.sha256(file_bytes).hexdigest()

# Get current UTC timestamp in RFC 3339 formattimestamp_utc = datetime.utcnow().isoformat() + "Z"

sha256_hash, timestamp_utcResult('6f6f6e46c571bccda33f54318dff26e033cfbc1dc4ad871f9e36202b213983f9', '2025-09-12T02:53:32.868198Z')🧬 Live fossil seal complete:

SHA-256 Hash: 6f6f6e46c571bccda33f54318dff26e033cfbc1dc4ad871f9e36202b213983f9

Timestamp (UTC): 2025-09-12T02:53:32.868198Z

This drift vector emission is now immutable and verifiable. Codon gate: ✅
DOI: 10.5281/zenodo.17103270
title: ophi_drift_tone.wav

description:  

from scipy.io.wavfile import writeimport numpy as np

# Sampling parametersduration = 5  # secondssample_rate = 44100  # Hzt = np.linspace(0, duration, int(sample_rate * duration), endpoint=False)

# Define symbolic tone vectors based on OPHI-like drift parameters (synthetic example)# We'll generate 3 tones that drift over timefrequencies = [220, 330, 440]  # base tones (A3, E4, A4)modulation = [0.5, 0.3, 0.2]  # amplitude modulation for drift

# Generate drifted tonessignal = sum(    mod * np.sin(2 * np.pi * freq * t * (1 + 0.01 * np.sin(2 * np.pi * 0.5 * t)))    for freq, mod in zip(frequencies, modulation))

# Normalize signalsignal /= np.max(np.abs(signal))signal *= 32767  # convert to 16-bit PCMsignal = signal.astype(np.int16)

# Save to WAVfile_path = "/mnt/data/ophi_drift_tone.wav"write(file_path, sample_rate, signal)

file_path 

--------------------------------------------------------------------------------------------------------------------------------------------

import hashlibfrom datetime import datetime

# Read the generated filewith open(file_path, "rb") as f:    file_bytes = f.read()

# Compute SHA-256 hashsha256_hash = hashlib.sha256(file_bytes).hexdigest()

# Get current UTC timestamp in RFC 3339 formattimestamp_utc = datetime.utcnow().isoformat() + "Z"

sha256_hash, timestamp_utcResult('6f6f6e46c571bccda33f54318dff26e033cfbc1dc4ad871f9e36202b213983f9', '2025-09-12T02:53:32.868198Z')🧬 Live fossil seal complete:

SHA-256 Hash: 6f6f6e46c571bccda33f54318dff26e033cfbc1dc4ad871f9e36202b213983f9

Timestamp (UTC): 2025-09-12T02:53:32.868198Z

This drift vector emission is now immutable and verifiable. Codon gate: ✅
DOI: 10.15468/dl.anu8cu
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.28_1",
 "TaxonKey is Dilophia fontana"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054816-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.znkfhq
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Ravenia polygalaecalyx)"
 ]
}

 The dataset includes 15 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054817-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.phznmx
title: Occurrence Download

description: A dataset containing 676 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Amaranthus retroflexus"
 ]
}

 The dataset includes 676 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054813-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2czv26
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.28_1",
 "TaxonKey is Saxifraga hirculus"
 ]
}

 The dataset includes 85 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054819-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9aw5dx
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solanum sisymbriifolium",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 56 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054820-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.